Atlassian Mcp Jobs in Usa

Job Description Summary

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Minimum Education and Experience:

Required Licensure, Certifications, Registrations:

Additional Job Description

Benefits:

Physical Requirements

If you like working with energetic enthusiastic individuals, you will enjoy your career with us!

The Medical University of South Carolina is an Equal Opportunity Employer. MUSC does not discriminate on the basis of race, color, religion or belief, age, sex, national origin, gender identity, sexual orientation, disability, protected veteran status, family or parental status, or any other status protected by state laws and/or federal regulations. All qualified applicants are encouraged to apply and will receive consideration for employment based upon applicable qualifications, merit and business need.

Medical University of South Carolina participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here:

Job Description Summary

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The Certified Medical Assistant reports to the Outpatient Clinic Manager. Interviews patients, measures vital signs (i.e., pulse rate, temperature, blood pressure, weight, and height), and records or inputs information to patients' medical record. Prepares treatment rooms for examination of patients.

Basic computer skills required. Annual competencies are required to be maintained. Possess ability to understand and implement a variety of detailed instructions in the execution of therapeutic procedures and ability to make accurate physical observation of patients. Must communicate effectively both verbally and in writing.

Minimum Education and Experience:

High school diploma or equivalent. Completion of an accredited medical assisting program with one year of patient care experience preferred.

Required Licensure, Certifications, Registrations:

Must be certified through the American Medical Technologist (AMT) or American Association of Medical Assistants (AAMA) or National Health career Association (NHA) or MedCA as a Certified Clinical Medical Assistant (CCMA) or Certified Medical Assistant (CMA) or National Association for Health Professionals (NAHP).

Current Basic Life Support (BLS) required, either a certification from an American Heart Association (AHA) BLS for Healthcare Providers (or AHA recognized equivalent) or an American Red Cross CPR/AED for Professional Rescuer and Healthcare Provider.

Additional Job Description

If you like working with energetic enthusiastic individuals, you will enjoy your career with us!

The Medical University of South Carolina is an Equal Opportunity Employer. MUSC does not discriminate on the basis of race, color, religion or belief, age, sex, national origin, gender identity, sexual orientation, disability, protected veteran status, family or parental status, or any other status protected by state laws and/or federal regulations. All qualified applicants are encouraged to apply and will receive consideration for employment based upon applicable qualifications, merit and business need.

Medical University of South Carolina participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here:

Overview:

The mission for the Lead Caregiver position is to improve the overall quality of care that Tender Rose provides to our clients living with dementia. They raise the quality of care on new and existing client cases by training on all client cases in their region and providing skilled coverage for all short-notice shifts; being the first staff member to work with new clients and helping to train ongoing Memory Care Professionals (MCPs) for new cases; and supporting our Care Coordinators with care management tasks. 

What We Offer 

• Health, Dental and Vision insurance
• 401(k) with matching
• Paid sick leave
• Employee Assistance Program
• Paid training
• Opportunities for growth
• 24/7 Support
• Consistent schedules with weekly pay

Service Location: 

• Marin County and San Francisco

Schedule 

• Full Time schedule Sunday-Thursday or Tuesday- Saturday
• 8 to 12 hours
• Saturday OR Sunday availability required

Pay rates:

• $28-$29/hr

The Lead Caregiver (Assistant Care Coordinator) will play a key role in the success of the
organization through their 5 Major Roles and Responsibilities:
1. Start new client cases
• Work the first three shifts with all new clients in assigned region
• Provide feedback to Care Coordinators with care plans
• Train and introduce MCPs for the ongoing team
2. Cover MCP callouts
• Train on all cases in region(s)
• Cover all short-notice call-outs during assigned schedule
3. Train and coach MCPs on client cases
• Assist Care Coordinators with care plan meetings for MCPs as needed
• Introduce all MCPs to clients on their first shift
• Assess MCP readiness and work the shift for MCP if necessary
4. Tasks to support Care Management
• Tasks may include buying groceries and picking up prescriptions for clients
5. Office Shifts: ACCs must be in the office at the start of scheduled office shifts when not
working with a client. List of tasks and duties to be completed while on office shifts.

Qualifications

• Minimum of 2 years of professional caregiving experience
• Dementia care experience required
• Ability to lift a minimum of 50 pounds
• Valid Driver’s License and vehicle with current registration and insurance
• Must have a reliable means of transportation to get to and from work
• Driving Expectations: Must be able to drive throughout the Bay Area and help in
  emergencies (mileage will be reimbursable).
• Regions: South Bay and San Francisco other Bay Area counties are not exempt and
  will be required for travel in case of emergencies.
• Ability to pass a background check
• Proof of eligibility to work in the U.S.

In accordance with Article 2 of the California Health and Safety Code - California Community Care Facilities Act, TheKey requires timely and accurate positive fingerprint identification of applicants as a condition of employment. If an applicant has been convicted of a non-exemptible crime, and in compliance with all applicable state and local laws, their conditional offer will be rescinded.

State of Maryland

Department of General Services

Maryland Capitol Police

Chief of Police (MCP Colonel)

Open Until Filled

Salary Range: SLE 11: $131,446 - $215,311 (depending on experience and qualifications)

Location: Offices located at MCP Divisions in Baltimore and Annapolis, Maryland

This is a Management Service position and serves at the pleasure of the Appointing Authority (“at-will”).

The Maryland Department of General Services - Maryland Capitol Police is a full-service state law enforcement agency that enforces criminal and traffic laws in and around state-owned and leased

facilities, located across the State of Maryland. The agency's mission is to provide a safe environment for all visitors, employees, and government leaders at state facilities, and to protect people and property as a premier

state law enforcement and security organization.

Here at DGS, we truly Do Great Service… Consider joining our team!

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Reporting directly to the DGS Secretary, this executive leadership position serves as the Chief of Police for the Maryland Capitol Police (MCP) with the rank of Colonel. Job responsibilities will be diverse and challenging, requiring a combination of strong leadership, strategic thinking, and operational expertise. The Chief is required to ensure the effective management and enforcement of all laws and regulations related to criminal and traffic law, building security, infrastructure protection, the safety of the legislative general assembly, protection of the Maryland State Capitol, managing and monitoring demonstrations and rallies on the Capitol grounds, and ensuring resource management within the department.

The Chief and MCP’s leadership team are responsible for developing and implementing MCP’s policies, procedures, and programs to safeguard and protect state-owned and leased facilities, reduce crime, and promote sustainable practices. The Chief is responsible for the overall leadership and management of the department, directly supervising the Deputy Chief who in turn manages three Bureau Chiefs, and for making executive-level decisions regarding the department's operational expenditures. The Chief also collaborates with other law enforcement agencies, government agencies, and community stakeholders to address complex security issues and promote community service, public awareness, and engagement.

The Chief is expected to establish and maintain effective working relationships, attend senior- and executive-level staff meetings, and coordinate with executives from the DGS Office of the Secretary, the Governor’s Office, and other executive levels of State government. The Chief is expected to lead by example, demonstrating integrity, professionalism, and a commitment to upholding the highest standards of ethical conduct. The incumbent will mentor and support staff members, foster a culture of teamwork and accountability, and ensure that resources are utilized efficiently and effectively to achieve the department's goals.

DGS is seeking a highly skilled and experienced leader to join the team as an executive-level member of law enforcement. The ideal candidate will be a strategic thinker, visionary leader, and effective communicator with a proven track record of managing and overseeing complex and diverse law enforcement operations at an executive level.

Responsibilities include:

• Developing and implementing strategic plans, policies, and procedures to ensure effective law enforcement operations, and providing leadership and guidance to department heads and staff members to achieve organizational goals and objectives.
• Overseeing the allocation of resources, budget management, and financial planning to support law enforcement activities.
• Collaborating with external stakeholders, government agencies, and community organizations to enhance public safety initiatives.
• Monitoring and evaluating the department’s overall performance, identifying areas for improvement, and working with MCP’s leadership team to implement corrective actions as needed.
• Ensuring compliance with local, state, and federal laws, rules, regulations, and standards for law enforcement agencies.
• Representing DGS at public events, meetings, and hearings to communicate critical messages and foster positive community relations.
• Staying informed about emerging trends, technologies, and best practices in law enforcement to drive innovation and continuous improvement.
• Handling sensitive and critical situations with professionalism, integrity, and confidentiality; and other duties as assigned.
• Developing and implementing comprehensive plans to manage public events, including demonstrations and protests, in accordance with all applicable laws, rules, and regulations.

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Preferred Qualifications:

• Bachelor’s degree from an accredited college or university with major coursework in law enforcement, criminal justice, criminology, or a related field in law enforcement, public administration, or a related field of study. (Executive leadership training to include FBINA, SMIP, FBI LEEDA, and Northwestern School of Police and Command may be considered in place of a Bachelor’s degree.)
• Ten (10) years of professional experience in law enforcement, with a minimum of five (5) years of this experience at a command level position, to include experience at the rank of an assistant or deputy police chief.
• Demonstrated track record of effective leadership, innovation, and collaboration within law enforcement, along with excellent interpersonal, communication, and conflict-resolution skills.
• Ability to work effectively in a geographically diverse and multicultural community.
• Must have a valid driver's license, with a good driving record (driving record will be verified to confirm eligibility for hire during the background check process).
• Current Police Certification issued by the Maryland Police and Correctional Training Commission (MPCTC).
• Exceptional oral and written communication and interpersonal skills to interact with diverse stakeholders, including other law enforcement agencies, government officials, and the public.
• Ability to make sound judgments and decision-making in intense and high-pressure situations.
• Ability to multitask and work independently in a fast-paced, high-pressure, and high-demand environment.
• Proficiency in using technology and law enforcement databases.
• Familiarity with budgeting, resource allocation, and strategic planning processes.
• Ability to effectively lead a highly diverse team across multiple geographic locations.
• Ability to work varying shifts and hours, including nights, holidays, and weekends, on an as-needed basis.
• Availability to respond to emergencies and urgent matters 24 hours a day and 7 days a week.

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Limitations on Selection:

1. This position is only open to those who have successfully graduated from a recognized police training academy or equivalent law enforcement training. Proof of said education/training is required prior to hire.

2. A background check will need to be completed and passed to be eligible for hire.

Special Requirements:

1. Selection standards for Police Officer certification are established by the Maryland Police and Correctional Training Commission per Public Safety Article, Section 3-207, Annotated Code of Maryland. These selection criteria are listed in detail in the Code of Maryland Regulations 12.04.01.04 and include the following:

• U.S. Citizenship
• Must be at least 21 years of age
• Satisfactory background investigation, including a check of criminal history
• Oral interview
• Physical examination
• Possession of a valid Maryland state driver's license

2. Employees in this classification are subject to call-in and, therefore, will be required to provide the employer with a phone number where they can be reached after hours and during nights, holidays, and weekends.

3. Employees in this classification are required to bear firearms and to demonstrate practical knowledge and proficiency in the safe use and care of firearms periodically as required by the Maryland Police and Correctional Training Commission.

4. Employees in this classification are subject to substance abuse testing per Code of Maryland Regulations 17.04.09, Testing for Illegal Use of Drugs.

5. Must meet the physical fitness standards required for law enforcement officers, including passing a physical fitness test, the ability to work in various outdoor environments and adverse weather conditions, and willingness to work irregular hours, including nights, weekends, and holidays.

Benefits:

The State of Maryland offers a generous benefits package that includes:

• Tuition reimbursement for those who qualify
• Free mass transit in Baltimore & Annapolis
• Generous paid leave that increases with years of service
• Paid holidays
• Health coverage with low out-of-pocket costs
• Employee & employer contributory pension plan

Click on the link below for more information.

STATE OF MARYLAND BENEFITS

TO APPLY:

Interested applicants should e-mail a resume and cover letter to – include “MCP Chief” in the subject line of the e-mail.

For questions, call our HR Office at 41

For more information about DGS, please visit: is an Equal Opportunity Employer

Mission for this Position

The mission of the Memory Care Professional is to improve quality of life for Tender Rose clients and their families. The Memory Care Professional (MCP) will provide non-medical companionship care for clients living with Alzheimer’s and other forms of dementia. MCPs deliver person-centered, activity-based care focused around luxury-brand customer service to improve the mood and quality of life for their clients, families and other MCPs. 

What We Offer 

• Health, Dental and Vision insurance
• 401(k) with matching
• Paid sick leave
• Employee Assistance Program
• Paid training starting at $20.10
• Opportunities for growth
• 24/7 Support
• Consistent schedules with weekly pay
• Referral program

Schedule 

• Full Time schedule: 8hr shifts, Sunday-Thursday or Tuesday-Saturday.
• Part time schedule: 4hr shifts, 3-6 days a week

Responsibilities

• The MCP facilitates activities that are designed to meet the clients’ fundamental needs and provide meaningful moments throughout the day, even as the disease progresses.
• To provide meaningful, individualized care for clients, the MCP focuses on creating activities that engage their abilities in six key areas: social, emotional, physical, nutritional, intellectual and spiritual.
• Using this approach to person-centered, activity-based care, the MCP can assure almost every day will be a good one because it is filled with joy, dignity and meaning.
• Must be able to drive own vehicle to and from outings and appointments.

Qualifications

• Minimum of 1 year of professional caregiving experience 
• Minimum of 1 year Dementia/Alzheimer care experience
• Ability to lift a minimum of 50 pounds
• Valid Driver’s License and vehicle with current registration and insurance 
• Ability to pass a background check
• Proof of eligibility to work in the U.S.
• Home Care Aide clearance with the State of CA

In accordance with Article 2 of the California Health and Safety Code - California Community Care Facilities Act, TheKey requires timely and accurate positive fingerprint identification of applicants as a condition of employment. If an applicant has been convicted of a non-exemptible crime, and in compliance with all applicable state and local laws, their conditional offer will be rescinded.

Full Time schedule: 8hr shifts Monday-Friday 10:30AM-6:30PM

Location: Castro Valley, CA

Mission for this Position

The mission of the Memory Care Professional is to improve quality of life for Tender Rose clients and their families. The Memory Care Professional (MCP) will provide non-medical companionship care for clients living with Alzheimer’s and other forms of dementia. MCPs deliver person-centered, activity-based care focused around luxury-brand customer service to improve the mood and quality of life for their clients, families and other MCPs. 

What We Offer 

• Health, Dental and Vision insurance
• 401(k) with matching
• Paid sick leave
• Employee Assistance Program
• Paid training starting at $20.10
• Opportunities for growth
• 24/7 Support
• Consistent schedules with weekly pay
• Referral program

Responsibilities

• The MCP facilitates activities that are designed to meet the clients’ fundamental needs and provide meaningful moments throughout the day, even as the disease progresses.
• To provide meaningful, individualized care for clients, the MCP focuses on creating activities that engage their abilities in six key areas: social, emotional, physical, nutritional, intellectual and spiritual.
• Using this approach to person-centered, activity-based care, the MCP can assure almost every day will be a good one because it is filled with joy, dignity and meaning.
• Must be able to drive own vehicle to and from outings and appointments.

Qualifications

• Minimum of 3 year Dementia/Alzheimer care experience
• Spanish speaker is a PLUS
• Ability to lift a minimum of 50 pounds
• Valid Driver’s License and vehicle with current registration and insurance (MUST HAVE)
• Ability to pass a background check
• Proof of eligibility to work in the U.S.
• Home Care Aide clearance with the State of CA

In accordance with Article 2 of the California Health and Safety Code - California Community Care Facilities Act, TheKey requires timely and accurate positive fingerprint identification of applicants as a condition of employment. If an applicant has been convicted of a non-exemptible crime, and in compliance with all applicable state and local laws, their conditional offer will be rescinded.

Description

Seeking an AI/ML Operations professional for the following role -

Overall Responsibilities

• Manage operational workflows for model deployments, updates, and versioning across GCP, Azure, and AWS.
• Monitor model performance metrics: latency, throughput, error rates, token usage, and inference quality
• Track model drift, accuracy degradation, and performance anomalies - escalating to engineering as needed.
• Support knowledge base operations including vector embedding pipeline health, chunk quality, and refresh cycles in Vertex AI.
• Maintain model inventory and documentation across multi-cloud environments.
• Coordinate model evaluation cycles with Responsible AI and Core Engineering teams

Agent & MCP Server Operations

• Monitor AI agent health, performance, and reliability (AutoGen-based agents, MCP servers)
• Track agent execution metrics: task completion rates, tool call success/failure, latency, and error patterns
• Support agent deployment and configuration management workflows
• Document agent behaviors, known issues, and operational runbooks
• Coordinate with Core Engineering on agent updates, testing, and rollouts
• Monitor MCP server availability, connection health, and integration status

FinOps & Cost Management

• Track and analyze AI/ML cloud spend across GCP (Vertex AI), Azure (OpenAI), and AWS (Bedrock)
• Build cost dashboards with breakdowns by model, application team, use case, and environment.
• Monitor token consumption, inference costs, and embedding/storage costs.
• Identify cost optimization opportunities - model selection, caching, batching, rightsizing.
• Provide cost allocation reporting for chargeback/showback to consuming application teams.
• Forecast spend trends and flag budget anomalies.
• Partner with Infrastructure and Finance teams on AI cost governance.

Monitoring, Dashboarding & Reporting

• Build and maintain dashboards for platform performance, model health, agent metrics, and operational KPIs.
• Create executive and stakeholder reports on platform adoption, usage trends, and cost allocation.
• Develop Responsible AI dashboards tracking hallucination rates, accuracy metrics, guardrail triggers, and safety incidents.
• Monitor APIGEE gateway traffic patterns and API consumption trends.
• Provide regular reporting to product management on use case performance.

Release Operations Support

• Support release management processes with pre/post-deployment validation checks.
• Track release health metrics for models, agents, and platform components.
• Maintain release documentation, runbooks, and operational playbooks.
• Coordinate with QA, Performance Engineering, and Infrastructure teams during releases.

AI Operations

• Monitor guardrail effectiveness and flag anomalies to the Responsible AI team.
• Track and report on hallucination detection, content safety triggers, and accuracy trends.
• Support LLM Red Teaming efforts by collecting and organizing evaluation data.
• Maintain audit logs and compliance documentation for AI governance.

Cross-Functional Coordination

• Serve as operational point of contact for application teams consuming DxT AI APIs.
• Coordinate with Corporate Security on audit requests and compliance reporting.
• Partner with Infrastructure team on capacity tracking and resource utilization.
• Support Performance Engineering with load test analysis and results documentation.

Basic Qualifications

• 2-4 years in an Ops, Analytics, or Technical Operations role (MLOps, AIOps, DataOps, Platform Ops, or similar)
• Understanding of AI/ML concepts: models, inference, embeddings, vector databases, LLMs, tokens, prompts.
• Experience with cloud cost management and FinOps - tracking, analyzing, and optimizing cloud spend.
• Strong proficiency with dashboarding and visualization tools (Looker, Tableau, Grafana, or similar)
• Working knowledge of GCP (required); familiarity with Azure and AWS a plus.
• Comfortable with SQL and basic Python for data analysis and scripting.
• Experience with monitoring and observability platforms (Datadog, Prometheus/Grafana, Cloud Monitoring, or similar)
• Understanding of APIs and API gateways - ability to read logs, trace requests, analyze traffic.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication skills - able to translate technical metrics into stakeholder insights.
• College degree in Computer Science, BIS, MIS, EE, ME or similar is required.

Preferred Qualifications

• Hands-on experience with LLM platforms: Vertex AI, Azure OpenAI, AWS Bedrock
• Familiarity with AI agents and agentic architectures (AutoGen, LangChain, or similar)
• Exposure to MCP (Model Context Protocol) or agent-tool integration patterns.
• Experience with vector databases and RAG (Retrieval-Augmented Generation) operations.
• Understanding of MLOps lifecycle: model registry, versioning, deployment patterns, A/B testing
• Experience with APIGEE or similar API management platforms.
• Familiarity with Responsible AI metrics - hallucination, bias, content safety, guardrails.
• FinOps certification or formal cloud cost management experience.
• Experience supporting enterprise platform teams with multiple consuming applications.
• Familiarity with ML pipeline tools (Kubeflow, MLflow, Vertex AI Pipelines)
• Exposure to prompt management and evaluation frameworks.
• ITIL or operational process framework experience.
• Experience creating runbooks and operational documentation.

Education

• BE/BS in Computer Science, Business Information Systems, Management Information Systems, Electrical Engineering, Mechanical Engineering or similar

The estimated pay range for this position is USD $70.00/hr - USD $77.50/hr. Exact compensation and offers of employment are dependent on job-related knowledge, skills, experience, licenses or certifications, and location. We also offer comprehensive benefits. The Talent Acquisition Partner can share more details about compensation or benefits for the role during the interview process.

Job Description Summary

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Worker Type

Worker Sub-Type​

Cost Center

Pay Rate Type

Pay Grade

Scheduled Weekly Hours

Work Shift

Job Description

Additional Job Description

High school diploma or equivalent. Completion of an accredited medical assistant program with six months of CMA/RMA experience required. Must be certified through the American Medical Technologist (AMT) or American Association of Medical Assistants (AAMA) or National Health career Association (NHA) or MedCA as a Certified Clinical Medical Assistant (CCMA), Certified Medical Assistant (CMA), National Association for Health Professionals (NAHP), or National Center for Competency Testing (NCCT). Current American Heart Association (AHA) Basic Life Support (BLS) certification or American Red Cross BLS for Healthcare Providers certification is required.

If you like working with energetic enthusiastic individuals, you will enjoy your career with us!

The Medical University of South Carolina is an Equal Opportunity Employer. MUSC does not discriminate on the basis of race, color, religion or belief, age, sex, national origin, gender identity, sexual orientation, disability, protected veteran status, family or parental status, or any other status protected by state laws and/or federal regulations. All qualified applicants are encouraged to apply and will receive consideration for employment based upon applicable qualifications, merit and business need.

Medical University of South Carolina participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here:

Our client, a large, complex enterprise organization, is looking for a Principal AI Engineer to serve as the lead architect and hands-on builder of a unified AI Platform as a Service (PaaS) a secure, multi-tenant foundation that helps internal teams build and operate semantic discovery, conversational experiences, and autonomous agent workflows at scale.

Summary:

The Principal AI Engineer will design and build an enterprise-grade “AI operating layer” that turns modern foundation model capabilities into a governed, reusable platform used across multiple business domains. This role balances approximately 40% hands-on development with 60% platform strategy, personally building core orchestration services, standardized capability interfaces, and trust/safety guardrails. The platform will enable teams to deploy specialized agents that can collaborate via defined protocols, securely access grounded knowledge sources, and execute autonomous tasks within a controlled, high-availability runtime.

Location: Remote (U.S.) / Hybrid options may be available based on client needs.

Compensation Range: $145,000 - $250,000 per year plus RSUs & Bonus

Benefits: Very competitive benefits

Responsibilities

• Architect and deliver a self-service AI platform that provides reusable patterns, reference implementations, and standardized building blocks for internal engineering teams.
• Define and communicate a multi-year platform roadmap, ensuring technical priorities map to enterprise outcomes and adoption goals.
• Design and implement stateful orchestration (state graphs/state machines) to handle planning edge cases, recovery, and self-correction in autonomous workflows.
• Build and operate secure remote tool gateways (e.g., MCP-style servers) and implement controlled function-calling interfaces for connecting agents to sensitive enterprise systems.
• Establish interoperability standards for agent-to-agent collaboration, enabling autonomous discovery and reliable task handoffs across independently built agent solutions.
• Design an agent identity and authorization layer that supports fine-grained permissions, auditable actions, and strong accountability for autonomous behaviors.
• Implement a unified knowledge layer using semantic retrieval and multimodal grounding to support accurate, “source-aligned” responses and decisions.
• Build long-term context persistence (“memory”) using retrieval and graph-based storage to preserve institutional knowledge and improve continuity over time.
• Create a trust and evaluation layer with automated testing pipelines to measure quality, safety, cost, latency, and reliability of agent behavior across tenants.
• Own runtime lifecycle management for agent sessions, ensuring high availability, persistence, scalability, and controlled rollout patterns.
• Lead deep code reviews focused on agent-specific failure modes (runaway loops, tool misuse, state growth, unreliable calling patterns) and implement mitigations.
• Optimize inference performance and spend through techniques such as prompt caching, model routing, and workload-aware runtime strategies.
• Act as a technical multiplier by mentoring senior/staff engineers on advanced agentic patterns, evaluation methods, and production hardening.
• Partner closely with Cloud and Infrastructure teams to influence enabling services and platform primitives needed for enterprise AI delivery.
• Raise the bar on engineering quality via documentation, profiling, reliability improvements, and ongoing performance tuning.

QUALIFICATIONS:

Required:

• 10+ years of software engineering experience, including 4+ years operating at a Principal/Architect level.
• 2+ years architecting and shipping LLM-based systems, with demonstrated experience taking agentic solutions into production at scale.
• 5+ years working in agile delivery environments.
• Google Cloud Professional Cloud Architect certification.
• Proven ability to lead technical workstreams and translate business needs into durable platform architectures.
• Strong expertise in asynchronous orchestration (e.g., Python) plus proficiency in a statically typed language (Java, Go, or Rust) for high-concurrency platform services.
• Hands-on experience with stateful graph orchestration patterns and frameworks (e.g., LangGraph/ADK-style approaches) to power robust reasoning workflows.
• Strong cloud-native experience with CLI tooling and Infrastructure-as-Code; proven ability to deploy and scale containerized workloads using container orchestration and serverless platforms.
• Experience designing and operating distributed architectures at scale, including vector stores, graph databases, and structured data pipelines.
• Deep knowledge of multi-agent design patterns and the ability to extend or replace off-the-shelf orchestration when scaling, safety, or reliability requires it.
• Working understanding of modern agent reasoning approaches (Chain-of-Thought, ReAct, Tree-of-Thoughts, Self-Reflection) and when to apply them.
• Experience supporting very high request volumes and/or extremely large datasets in production environments.
• Expertise building semantic retrieval layers, attribute-aware discovery, and stateful persistence for long-lived agent context.
• Strong understanding of MCP-style tool protocols, agent-to-agent interaction patterns, REST/gRPC APIs, OAuth2, and function-calling mechanics.
• Familiarity with microservices architecture patterns and distributed systems best practices.
• Ability to implement observability for agentic systems, including traceability/telemetry and debugging methods for multi-step reasoning and handoffs.
• Awareness of global AI regulations (e.g., EU AI Act) and ability to translate requirements into technical controls and platform governance.
• Strong written and verbal communication skills across technical and business audiences.
• Calm, decisive execution in high-pressure or incident scenarios.
• Highly organized, self-directed, detail-oriented, and effective with limited supervision.
• Ability to support off-hours work as needed, including rotational on-call, weekends, and holidays.

Preferred:

• Bachelor’s or Master’s in Computer Science, AI, or a related field.
• PhD in AI, Distributed Systems, or Cognitive Science.
• Google Cloud Professional Machine Learning Engineer certification and/or specialized certifications in multi-agent systems/autonomous reasoning.
• 3+ years working with distributed caching technologies.
• Experience provisioning and configuring cloud platform resources at scale.
• Experience supporting consumer-facing digital or commerce environments.
• Proficiency with Google Workspace (Sheets, Docs, Slides, Gmail).

About Hansell Tierney:

Hansell Tierney is one of the premier staffing and recruiting companies in the Pacific Northwest. Launched in 2001, we are a woman-owned business that serves and staffs Northwest organizations by doing things the right way, not just the easiest way. Hansell Tierney partners with candidates and clients to match the best candidates with interesting local opportunities. We navigate every relationship with the highest level of discretion and service while holding ourselves accountable to our promises. Our business thrives on our deep understanding of the job market and our ability to skillfully tailor our recruitment process to meet our clients’ unique needs.

Profitmind is building the intelligence behind how retailers make pricing and merchandising decisions. Today, many of these decisions are still driven by spreadsheets, rigid rules, and manual judgment, even at the largest brands.

Our platform turns complex data such as sales, inventory, and competitive signals into clear, explainable recommendations merchants can trust. Our platform focuses on impact, helping retailers improve margin, inventory health, and decision quality at scale. 

Based in Pittsburgh, Profitmind is backed by a recent strategic investment from Accenture, and scaling its agentic AI platform to power decision-making for some of the world’s largest retailers.

About the role:

We’re looking for a multi-disciplinary AI Engineer to design, implement, and deploy LLM-driven agents with strong backend and front-end integration. You’ll be leading efforts across LLM agent design, prompting, fine-tuning, and MLOps, while building real-world, production-grade applications with modern web technologies.

The ideal candidate combines a strong foundation in Python and AI with practical experience in agent frameworks like LangGraph, PydanticAI, and Google ADK, as well as FastAPI and front-end development.

What you’ll do:

LLM Agents & Prompt Engineering

• Architect and implement LLM agents using frameworks like LangGraph, PydanticAI, and Google ADK.
• Build composable, tool-augmented reasoning chains (e.g., RAG, CoT, ReAct, planner-executor).
• Integrate vector databases (e.g., FAISS, Pinecone, pgvector) and knowledge graphs (Neo4j) to support retrieval-augmented generation (RAG) and long-term chatbot memory.
• Design and maintain high-quality prompt strategies for robustness and reliability.

FastAPI, Model Context Protocol (MCP) & Backend

• Develop and maintain scalable APIs using FastAPI, supporting synchronous and asynchronous agent execution.
• Integrate Model Context Protocol (MCP) to enable secure and structured access to external data and tools within agent workflows.
• Implement state tracking, context-aware input dispatch, and modular plugin integration within the control plane.

Evaluation, Testing & Observability

• Build unit and behavioral tests for agents, tools, and workflows.
• Develop tooling for trace analysis, agent state debugging, and hallucination tracking.
• Compare and benchmark agent orchestration frameworks for trade-offs in speed, reliability, and usability.

Model Fine-Tuning & MLOps

• Fine-tune models using LoRA, QLoRA, or full fine-tuning pipelines.
• Integrate, deploy, and monitor models in production using cloud providers.
• Set up agent logging, observability dashboards, and recovery workflows.

Front-End & UX

• Familiar with React, TypeScript, Next.js, or similar frameworks
• Understanding of front-end and back-end integration for AI tools
• Ability to build basic dashboards or agent interfaces
• Integrate agents into interfaces
• Speak the language of UI 

What we’re looking for:

• 3+ years experience with Python in ML/AI systems and PyTorch or Tensorflow
• 1+ years experience with LLM agent development, prompt engineering, and frameworks like
• LangGraph, PydanticAI, and Google ADK.
• Experience with fine-tuning LLMs.
• Familiarity using vector stores like ChromaDB, Weaviate, or pgvector.
• Production experience with FastAPI, Docker, and MLOps
• Expert in Agentic Coding IDEs (Windsurf, Cursor or Claude Code)
• Bachelor’s or Master's degree in computer science

Nice to have:

• Open-source contributions to LLM/agent tooling
• Knowledge of async programming, websockets, and streaming APIs

What we offer:

• Competitive compensation and equity
• Comprehensive benefits including medical, dental, vision, etc.
• Unlimited and flexible PTO

Business Overview

KINESSO is the technology-driven performance marketing agency providing actionable growth for both our agency partners and clients. We turn 'action' into 'outcome' for our clients, leveraging our unique capabilities in optimization, analytics, AI, and experimentation. KINESSO has brought together the collective power of what was formerly Matterkind, Reprise, P3, and Kinesso under one collective entity that will serve as the most powerful delivery engine in the industry. We have extensive offerings spanning across performance marketing and data and technology. Fueled by a deep understanding of consumer behavior, we offer an end-to-end engine of planning and optimization while also delivering on data-driven strategy for social platforms, actionable growth in e-commerce, and creating curated marketplaces specific to each client's function and needs. The company has more than 6,000 employees operating in more than 60 countries. Learn more at Summary

We are seeking a Staff Software Engineer to spearhead the design and development of a next-generation AI Chat Application that will serve as an enterprise-wide assistant. This application will support a diverse range of organizational functions-including HR, Finance, Business Strategy, Ad Tech, and MarTech-empowering employees with intelligent, context-aware AI capabilities to streamline daily work.

As the Staff Software Engineer, you will guide the technical direction, mentor engineers, and partner with cross-functional teams to deliver a scalable, secure, and high-performing platform.

• 
  
• Lead Architecture & Development: Define and implement the architecture for an AI-driven chat platform leveraging Python, GCP, and AI services.
  
• Team Leadership: Mentor and guide a team of engineers, driving technical excellence, collaboration, and delivery.
  
• LLM Integration: Build and optimize solutions with LLM foundational models to support natural language understanding, contextual reasoning, and multi-domain workflows.
  
• Partner with Product Owners: Collaborate closely with product owners to assess technical feasibility, translate business needs into actionable engineering requirements, and ensure alignment with overall product strategy.
  
• Scalability & Reliability: Ensure the system is designed with enterprise-grade security, scalability, and compliance in mind.
  
• Innovation: Explore and adopt emerging practices in prompt engineering, multi-agent coordination (MCP/LLM agents), and applied AI to continuously evolve the platform.
  

• 
  
• 12+ years of software engineering experience building production-grade applications.
  
• 7+ years of experience with Java (Python experience strongly preferred).
  
• 3+ years of experience leading or managing engineering teams.
  
• Strong grasp of object-oriented programming, data structures, algorithms, and design patterns.
  
• Experience designing and building scalable APIs (REST, GraphQL, gRPC) and modular, extensible architectures.
  
• Hands-on experience with relational and NoSQL databases (e.g., MSSQL, PostgreSQL, DynamoDB).
  
• Familiarity with messaging and event-driven platforms like Kafka, Temporal for real-time systems.
  
• Strong expertise in GCP and integrating AI services with LLM foundational models.
  
• Experience with AI-powered developer tools (e.g., GitHub Copilot, Claude) to improve productivity and code quality.
  
• Strong troubleshooting, communication, and documentation skills, with a bias for secure, observable, and maintainable solutions.
  
• Comfortable working in Agile/Scrum environments with cross-functional teams.
  

• 
  
• Experience with context engineering and fine-tuning AI/LLM outputs.
  
• Familiarity with Model Context Protocol (MCP) for LLM agent orchestration.
  
• Knowledge of LLM agent frameworks for building multi-step, reasoning-driven AI systems.
  
• Experience in enterprise-grade security and compliance frameworks.
  

We offer a Total Rewards package that includes medical and dental coverage, 401(k) plans, flex spending, life insurance, disability, employee discount program, employee stock purchase program and paid family benefits to support you and your family. The salary range for this position is posted below. Where an employee or prospective employee is paid within this range will depend on, among other factors, actual ranges for current/former employees in the subject position, market considerations, budgetary considerations, tenure and standing with the Company (applicable to current employees), as well as the employee's/applicant's skill set, level of experience, and qualifications.

It is the policy of our company to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, veteran status, disability, or any other basis prohibited by applicable federal, state, or local law.

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

The employer will make reasonable accommodations in compliance with the American with Disabilities Act of 1990. The job description will be reviewed periodically as duties and responsibilities change with business necessity. Essential and other job functions are subject to modification. Reasonable accommodations may be provided to enable individuals with disabilities to perform the essential functions.

For applicants to jobs in the United States: In compliance with the current Americans with Disabilities Act and state and local laws, if you have a disability and would like to request an accommodation to apply for a position with our company, please email .

Join the team leading the next evolution of virtual care.

At Teladoc Health, you are empowered to bring your true self to work while helping millions of people live their healthiest lives.

Here you will be part of a high-performance culture where colleagues embrace challenges, drive transformative solutions, and create opportunities for growth. Together, we're transforming how better health happens.

Summary of Position

The Principal AI Security Engineer is a senior technical leader on the AI Security team, responsible for designing, building, and operating security controls for generative AI and Machine Learning (ML) systems across their full lifecycle: data, training, deployment, and runtime.

This role is deeply hands-on: you will work directly with data science, MLOps, platform, devops and application teams to secure LLMs, RAG systems, AI agents, and AI-enabled products. You will also lead the intake and review process for AI use cases, helping the organization adopt AI safely and at scale in a highly regulated environment.

The ideal candidate combines:

* Strong security engineering and cloud architecture experience

* Deep, current familiarity with modern AI/LLM tooling and practices

* Familiar and can cover basic coding within the AI tooling space (python, others)

* The ability to communicate clearly with senior leadership and influence enterprise-wide strategy

Essential Duties and Responsibilities

Secure AI / ML platforms and workloads

* Lead security architecture and threat modeling for AI/ML systems, including LLMs, RAG pipelines, agents, and AI-powered applications.

* Design and implement security controls as code (services, libraries, infrastructure-as-code, policy-as-code) for AI/ML platforms and workloads.

* Lead and help setup the basic infrastructure needed to safely rollout AI - MCPs, LLMs, pipelines, Test harness for AI (ie: harmbench), intake automation.

* Partner with data science and MLOps teams to harden:

• Data ingestion and labeling
• Training and fine-tuning pipelines
• Model registries and deployment workflows
• Inference APIs, agents, and integrations

* Define and champion secure reference architectures and patterns for common AI use cases and focus on composable architecture.

AI use case intake & governance

* Design, implement, and continuously improve the intake, triage, and review process for AI/ML and generative AI use cases across the organization.

* Build and automate self-service workflows (e.g., request forms, risk questionnaires, routing, approvals) that balance speed of delivery with security, privacy, and compliance with a focus on risk scoring and scorecards.

* Define risk-based criteria for AI use case approval, including data sensitivity, model and vendor selection, integration patterns, and control requirements; this will involve in re-mapping the complete end to end lifecycle.

* Review proposed AI solutions from concept through deployment, providing clear, actionable guidance to product and engineering teams.

* Maintain visibility into the AI use case portfolio and risk posture, and provide regular reporting to leadership and governance bodies.

Monitoring, detection & assurance

* Establish and maintain monitoring and detection for AI-specific threats, such as:

• Prompt injection and jailbreak attempts
• Data exfiltration and sensitive data exposure
• Misuse or abuse of AI tools and agents
• Anomalous model or pipeline behavior

* Integrate AI/ML systems with existing logging, SIEM, and incident response processes.

* Lead or participate in AI-focused security assessments, red-teaming, and adversarial testing; drive remediation and verification.

Strategy, leadership & enablement

* Help define and evolve the organization's AI security strategy, standards, and roadmap in partnership with Security, Engineering, Data, Legal, Privacy, and Risk.

* Translate global privacy, data sovereignty, and regulatory requirements into practical technical controls for AI workloads across multiple cloud environments.

* Prepare and deliver executive-ready briefings and narratives on AI security risks, controls, and progress.

* Mentor other engineers and serve as THE internal subject matter expert on AI/ML security, generative AI, and LLM-based systems.

Qualifications Expected for Position

• 7+ years of experience in information security, security engineering, or related fields, including significant time building and securing production systems.
• 3+ years of hands-on experience with AI/ML technologies (such as LLMs, RAG, model training/fine-tuning, MLOps, or AI-powered products), including implementation of security controls or guardrails for these systems.
• Strong programming skills in one or more relevant languages (e.g., Python, TypeScript/JavaScript, Go, or similar), with a track record of contributing to production-grade tools, services, or libraries.
• Deep understanding of cloud security architecture and controls on at least one major cloud platform (AWS, Azure, or GCP), including identity, networking, secrets management, data protection, logging, and monitoring.
• Experience designing and implementing controls in a highly regulated environment; healthcare or financial services preferred.
• Demonstrated ability to lead complex technical initiatives across multiple teams, from problem definition through design, implementation, and adoption.
• Proven ability to communicate complex technical and risk topics clearly to both engineering teams and senior leadership.

Preferred Qualifications:

* Practical experience securing LLM- and genAI-based systems, such as:

• RAG architectures backed by internal data
• AI assistants, copilots, or agents integrated with enterprise tools
• Fine-tuned models and model hosting platforms

* Experience with AI IDE tools

• cursor, windsurfer, others
• Knows the security problems and has practical solutions that balances innovation with innovation.

* Familiarity with AI/ML frameworks and ecosystems (e.g., TensorFlow, PyTorch, Scikit-learn) and/or modern LLM development stacks and IDEs (e.g., API-based LLMs, self-hosted models, AI-enhanced coding tools).

* Experience with:

• Security for data pipelines, feature stores, and model registries
• Detection engineering or SIEM tuning for AI-related events
• Red-teaming or adversarial testing of AI systems

* Evidence of ongoing engagement with AI and security (such as side projects, open-source contributions, lab environments, publications, or conference talks).

* Familiarity with emerging AI security and safety standards and forward-looking industry guidance and horizon reports.

* Relevant certifications (e.g., cloud security, security engineering, or governance) are a plus.

* Strong analytical and problem-solving skills, with the ability to operate effectively in a fast-evolving technical and regulatory landscape.

* High level of integrity and ethical conduct.

This role is a fit if you:

* Regularly build, break, or secure AI/ML or LLM-based systems in your day-to-day work or personal projects.

* Are comfortable reading and writing code, experimenting with new AI tools, and wiring them into real systems.

* Enjoy turning ambiguous AI ideas and risks into concrete architectures, controls, and automation.

* Can move fluidly between deep technical discussions and concise, executive-level explanations.

This role is not a fit if you:

* Prefer to focus solely on policy, governance, or vendor assessments without hands-on technical work.

* Do not actively engage with current AI/LLM tooling, research, and emerging practices.

* "Describe a specific LLM or AI/ML system you have secured. What were the main risks and what controls did you implement?"

* "What AI tools, libraries, or environments do you actively use or experiment with today (work or personal), and for what?"

* "What do you see as the most important AI security or safety developments on the horizon over the next few years, and why?"

The base salary range for this position is$180,000 - $190,000. In addition to a base salary, this position is eligible for a performance bonus and benefits (subject to eligibility requirements) listed here: Teladoc Health Benefits 2026.Total compensation is based on several factors including, but not limited to, type of position, location, education level, work experience, and certifications.This information is applicable for all full-time positions.

We follow a Flexible Vacation Policy, intended for rest, relaxation, and personal time. All time off must be approved by your manager prior to use. You will also receive 80 hours of Paid Sick, Safe, and Caregiver Leave annually. This applies to full-time positions only. If you are applying for a part-time role, your recruiter can provide additional details.

As part of our hiring process, we verify identity and credentials, conduct interviews (live or video), and screen for fraud or misrepresentation. Applicants who falsify information will be disqualified.

Teladoc Health will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.

Why join Teladoc Health?

• Teladoc Health is transforming how better health happens. Learn how when you join us in pursuit of our impactful mission.

• Chart your career path with meaningful opportunities that empower you to grow, lead, and make a difference.

• Join a multi-faceted community that celebrates each colleague's unique perspective and is focused on continually improving, each and every day.

• Contribute to an innovative culture where fresh ideas are valued as we increase access to care in new ways.

• Enjoy an inclusive benefits program centered around you and your family, with tailored programs that address your unique needs.

• Explore candidate resources with tips and tricks from Teladoc Health recruiters and learn more about our company culture by exploring #TeamTeladocHealth on LinkedIn.

As an Equal Opportunity Employer, we never have and never will discriminate against any job candidate or employee due to age, race, religion, color, ethnicity, national origin, gender, gender identity/expression, sexual orientation, membership in an employee organization, medical condition, family history, genetic information, veteran status, marital status, parental status, or pregnancy). In our innovative and inclusive workplace, we prohibit discrimination and harassment of any kind.

Teladoc Health respects your privacy and is committed to maintaining the confidentiality and security of your personal information. In furtherance of your employment relationship with Teladoc Health, we collect personal information responsibly and in accordance with applicable data privacy laws, including but not limited to, the California Consumer Privacy Act (CCPA). Personal information is defined as: Any information or set of information relating to you, including (a) all information that identifies you or could reasonably be used to identify you, and (b) all information that any applicable law treats as personal information. Teladoc Health's Notice of Privacy Practices for U.S. Employees' Personal information is available at this link.

• 
  
• A typical day will involve a mix of hands-on coding, architectural design, and research.
  
• The engineer will spend a significant portion of their time in Python, building and optimizing agentic AI systems using frameworks like LangChain.
  
• This includes integrating these agents with our backend services and deploying them using CI/CD pipelines into our cloud environment.
  
• They will also be responsible for researching and testing new agentic models and frameworks, monitoring agent behavior in production, and collaborating with data scientists and business stakeholders to refine requirements and ensure the ethical deployment of AI solutions.
  

• 
  
• Python
  
• JavaScript/TypeScript
  
• AI Tools and Libraries (e.g. LangGraph, LangChain, Deep Agents, Claude Skills, etc.)
  
• AI Models (e.g. Claude, OpenAI, etc.)
  
• AI Concepts (e.g. Prompt Engineering, RAG, Agentic AI, etc.)
  
• Distributed SDLC/DevOps (e.g. github, pipelines, VS Code, testing frameworks, etc.)
  
• Platforms (Container Platforms, Cloud Platforms, Document Databases, AWS)
  
• API Design
  

• 
  
• Deep hands-on experience in Python for AI/ML development.
  

• 
  
• Generative AI Development: Proven experience developing Gen AI or AI/ML solutions, from use case conceptualization to production deployment.
  
• Infrastructure & DevOps: Strong understanding of cloud environments (AWS preferred), LLM hosting, CI/CD pipelines, Docker, and Kubernetes.
  
• Agentic AI Concepts: Knowledge of agentic/autonomous systems (e.g., reasoning, planning, tool use).
  

• 
  
• Proficiency in Python development and FastAPI/Flask frameworks, along with SQL.
  
• Familiarity with agentic AI frameworks and concepts such as LangChain, LangGraph, AutoGen, Model Context Protocol (MCP), Chain of Thought prompting, knowledge stores, and embeddings.
  
• Experience developing autonomous agents using cloud-based AI services.
  
• Experience with prompt engineering techniques and model fine-tuning.
  
• Strong understanding of reinforcement learning, planning algorithms, and multi-agent systems.
  
• Experience working across cloud platforms (AWS, Azure, GCP) and deploying AI solutions at scale.
  

Manufacturing Engineer – Advanced Detector Systems

Location: Sturbridge, MA (100% Onsite)

Salary: Up to $140K depending on experience

Environment: ISO 7 Cleanroom, High‑Voltage/High‑Vacuum Equipment

Candidates with backgrounds in semiconductor fabrication, vacuum systems, photonics, electron‑optical components, or high‑voltage instrumentation are strongly encouraged to apply.

Position Summary

We are seeking a hands‑on Manufacturing Engineer to support electrical testing, troubleshooting, and production of advanced detector technologies, including microchannel‑based devices and electron‑multiplying components. This role is highly technical and hardware‑focused, requiring daily work on the production floor within an ISO 7 cleanroom.

You will ensure detector assemblies meet stringent electrical, vacuum, and performance specifications while supporting test station operations, conducting full detector teardowns, and maintaining test capability during high‑priority manufacturing periods. This position also plays a key role in transitioning from manual testing to more automated systems.

What You’ll Do

Electrical Testing & Data Integrity

• Perform electrical testing on detector components using high‑vacuum systems (10⁻⁷ to 10⁻⁶ Torr).
• Maintain test stations and ensure data accuracy and traceability.
• Identify and escalate anomalies in test results.

Troubleshooting & Failure Analysis

• Diagnose electrical, mechanical, and vacuum‑related issues in detector assemblies.
• Conduct full mechanical and electrical teardowns.
• Investigate failure modes such as low gain, shorts, contamination, vacuum leaks, alignment issues, or component damage.

Manufacturing Support

• Work directly with cleanroom operators to resolve production issues quickly.
• Update work instructions, procedures, and test documentation.
• Train operators and new engineers on testing, teardown, and handling methods.
• Support yield improvement and scrap‑reduction initiatives.
• Track, analyze, and report yields, scrap rates, and defect trends.
• Provide day‑to‑day support across multiple product lines; occasional off‑shift work may be required.

Process Control & Continuous Improvement

• Use MINITAB for basic SPC, trend analysis, and yield monitoring.
• Support the transition from manual to semi‑automated test equipment.
• Identify opportunities to improve test repeatability, throughput, and data capture.
• Contribute to Lean Manufacturing, 5S, and SPC implementation.
• Promote adherence to ISO 9001‑based quality systems.

Equipment & Fixture Support

• Maintain and configure high‑voltage power supplies, vacuum controllers, electrometers, oscilloscopes, and custom fixtures.
• Assist in modifying fixtures or creating temporary setups to maintain production continuity.

Required Qualifications

• U.S. citizenship (required due to ITAR regulations).
• Bachelor’s degree in Engineering (Electrical, Mechanical, Materials, Physics, or related field).
• Hands‑on experience with high‑voltage systems, high‑vacuum equipment, precision instrumentation, or cleanroom operations.
• Strong mechanical aptitude and comfort working directly with hardware.
• Ability to troubleshoot electrical and mechanical issues methodically.
• Strong technical communication skills—written and verbal.
• Proficiency with MS Office, MRP systems, databases, and analytical/statistical tools.
• Ability to work full‑time onsite in an ISO 7 cleanroom environment.
• Willingness to learn specialized detector physics and test methods.

Preferred Qualifications

• Background in semiconductor, photonics, vacuum systems, electron optics, or detector technologies.
• Experience with SPC tools, MINITAB, or basic statistical analysis.
• Familiarity with high‑voltage power supplies, vacuum chambers, turbopumps, or electrometers.
• Experience assembling or disassembling delicate electro‑mechanical components.
• Understanding of gain behavior or noise mechanisms in electron‑multiplying devices (e.g., PMTs, MCPs, avalanche detectors).

Work Environment

• 100% onsite in a high‑tech manufacturing facility.
• ISO 7 cleanroom requiring gowning, gloves, and contamination‑control procedures.
• Work involves high‑voltage and high‑vacuum equipment; full safety training provided.
• Standard day shift with occasional support needed for urgent production issues.
• PPE such as safety glasses, gloves, and hearing protection may be required.

Position Details

Lakeland Regional Health is a leading medical center located in Central Florida. With a legacy spanning over a century, we have been dedicated to serving our community with excellence in healthcare. As the only Level 2 Trauma center for Polk, Highlands, and Hardee counties, and the second busiest Emergency Department in the US, we are committed to providing high-quality care to our diverse patient population. Our facility is licensed for 910 beds and handles over 200,000 emergency room visits annually, along with 49,000 inpatient admissions, 21,000 surgical cases, 4,000 births, and 101,000 outpatient visits.

Lakeland Regional Health is currently seeking motivated individuals to join our team in various entry-level positions. Whether you're starting your career in healthcare or seeking new opportunities to make a difference, we have roles available across our primary and specialty clinics, urgent care centers, and upcoming standalone Emergency Department. With over 7,000 employees, Lakeland Regional Health offers a supportive work environment where you can thrive and grow professionally.

Active - Benefit Eligible and Accrues Time Off

Work Hours per Biweekly Pay Period: 80.00

Shift: On-Site M-F with Call Rotation

Location: 210 South Florida Avenue Lakeland, FL

Pay Rate: Min $83,803.20 Mid $104,759.20

Position Summary

The IS Epic Cache Database Administrator will be responsible for implementing and supporting Epic Database Solutions that take into account appropriate redundancy, availability, scalability, security and manageability requirements of Lakeland Regional Health’s IS Department. This individual will be part of a team that is responsible for the technical strategy, vision, architecture and evolution of LRH’s Epic implementation(s), infrastructure and ancillary technologies. This is a technical position providing analysis, configuration, maintenance, modification and monitoring of all Epic Caché and SQL databases. The ideal individual understands and supports best practices and requirements for data storage, database architecture, tuning, maintenance and reporting, ensuring hardware and software compatibility and optimization. This individual assists in and supports personnel in determining databases are available, backed up regularly, and can be restored. Participates in, and evaluates installations (server and database binaries), tests, and implementations of system hardware, clustering technologies, software, manufacturer’s maintenance releases and utilities. Analyzes system performance to ensure it is meeting availability and performance objectives. Evaluates and recommends team personnel in resolution of hardware and operating system, and application software problems. Develops and maintains documentation on design specifications and system/software development life cycle for development projects.

Position Responsibilities

People At The Heart Of All That We Do

• Fosters an inclusive and engaged environment through teamwork and collaboration.
• Ensures patients and families have the best possible experiences across the continuum of care.
• Communicates appropriately with patients, families, team members, and our community in a manner that treasures all people as uniquely created.

Safety And Performance Improvement

• Behaves in a mindful manner focused on self, patient, visitor, and team safety.
• Demonstrates accountability and commitment to quality work.
• Participates actively in process improvement and adoption of standard work.

Stewardship

• Demonstrates responsible use of LRH's resources including people, finances, equipment and facilities.
• Knows and adheres to organizational and department policies and procedures.

People At The Heart Of All We Do

• Fosters an inclusive and engaged environment through teamwork and collaboration.
• Ensures patients and families have the best possible experiences across the continuum of care.
• Communicates appropriately with patients, families, team members, and our community in a manner that treasures all people as uniquely created.

Standard Work: IS Epic Cache Database Administrator

• Implements, manages and maintains the Epic SQL Database infrastructure, including installing/upgrading and/or deploying Epic applications on servers and clients using Kuiper, and System Pulse. Installs database software (e.g. Oracle, SQL Server or InterSystems Caché)
• Manage and maintain Epic databases for Hyperspace, EPS, Web BLOB, Hyperspace Web, BCA, MyChart, Carelink\Healthy Planet, Haiku, Rover, Care Everywhere, Home Health, Kuiper, and System Pulse services
• Performs technical analysis, configuration, maintenance, modification and monitoring of databases on a variety of platforms including SQL, Cache, Windows Server OS and Linux
• Uses processes for monitoring performance of installed systems or services and takes corrective actions when necessary. Uses tools for capacity planning, reporting, and proactive problem solving. Screen and analyze application performance for potential bottlenecks, specify possible solutions, and act jointly with developers to apply those fixes
• Acts as a technical resource to evaluate evolving infrastructure technology and perform as a consultant interface to the business and clinical units for new company initiatives. Gather requirements from functional teams for their integrations with third party products
• Supports third party software implementation as a technical resource and maintains private and public cloud infrastructure
• Identify, repair, and resolve any Epic Database system hardware or software failures within the enterprise, in a timely manner and following company procedures and standards
• Evaluate applicable requirements to provide appropriate technical specifications and solutions for new and existing implementations
• Work closely with other departments, teams and engineers to build and troubleshoot system problems and software implementations
• Develops and maintains systems documentation and technical procedures, user guides and run-books

Competencies & Skills

Essential:

• Knowledge of database administration including analysis, architecture, configuration, maintenance, modification, monitoring, performance tuning and reporting. Primary support for Caché, MS SQL Server and Oracle databases
• Knowledge of data modeling, repository and warehousing concepts and best practices. Advanced knowledge of database development and reporting tools (i.e. Oracle Designer, Oracle Developer, PL/SQL, Crystal Enterprise/Crystal Reports, etc.)
• Knowledge of supported software development tools and programming languages (i.e. Visual Studio .NET, C# and/or VB.NET, ASP.NET, Web Services; Java and C++; PC and UNIX system administration)
• Proficiency in Windows operating system administration, engineering and hardening, 2012, 2016, 2019 and Windows 10. Microsoft SQL server administration to include high availability clustering
• Technically proficient, and aware of self-limitations with experience in one or more Epic technologies

Nonessential:

• Experience in Epic MyChart, Epic-Link, Epic Hyperspace Web, Epic interconnect servers, Epic FIPS servers, BCA and Web deployment, Kuiper, Haiku, and Canto Database Administration and Configuration
• Problem resolution, including ownership and communication through resolution
• Experience in a larger, highly available healthcare environment (500+ servers and multiple sites). Health Level 7 (HL7), ANSI and other healthcare system standards with knowledge of Health Care regulatory environment
• Understanding of computer and healthcare related concepts and vernacular with proficiency in oral and written communication
• Proven competence in troubleshooting and critical thinking skills. Problem resolution, including ownership through resolution specific to electronic health record (EHR) systems

Qualifications & Experience

Essential:

• Associate Degree

Nonessential:

• Bachelor Degree

Essential:

• Information Technology, Healthcare Administration, Information Management, or related field

Other information:

Experience Essential:

- Minimum three years of experience in IT infrastructure engineering to include: Inter-operational relationships of various infrastructure components, such as server systems, storage technology and software applications and database administration

- Engineering and administrative experience on Windows Servers 2012 and up, MS SQL, Cache, Oracle and related technologies

- Experience in administering a highly available and secure database environment

- Backup management, Disaster Recovery, vulnerability management, patch management and hot fixes on hardware, server OS and database applications

- Experience managing and maintaining an electronic health record (EHR) in a large hospital environment with the ability to document systems and write procedures for EHR system staff

Experience Preferred:

- Server Hardware management with Cisco UCS Systems and/or HP ProLiant Servers OneView

- Knowledge of enterprise system monitoring, log management and event analysis with an emphasis on performance tuning and application optimization

- Ability to work efficiently under pressure and make independent decisions. Ability to work independently under limited supervision and take initiative

- Certification in one or more of the following: Microsoft SQL Server, Cache, Linux Operating System, Epic MyChart, Epic-Link, Epic Hyperspace Web, Epic interconnect servers, Epic FIPS servers, BCA and Web deployment, Kuiper, Haiku, and Canto

- Problem resolution, including ownership through resolution

Certifications Essential:

- Microsoft Certified DBA, Cache Certified DBA

Certifications Preferred:

- Microsoft MCSE and one or more of: VMware VCP, Citrix CCEA or CCIA, Microsoft MCP, MCSA, or Other, Cisco CCNA, Palo Alto PCCSA

Position Details

Lakeland Regional Health is a leading medical center located in Central Florida. With a legacy spanning over a century, we have been dedicated to serving our community with excellence in healthcare. As the only Level 2 Trauma center for Polk, Highlands, and Hardee counties, and the second busiest Emergency Department in the US, we are committed to providing high-quality care to our diverse patient population. Our facility is licensed for 910 beds and handles over 200,000 emergency room visits annually, along with 49,000 inpatient admissions, 21,000 surgical cases, 4,000 births, and 101,000 outpatient visits.

Lakeland Regional Health is currently seeking motivated individuals to join our team in various entry-level positions. Whether you're starting your career in healthcare or seeking new opportunities to make a difference, we have roles available across our primary and specialty clinics, urgent care centers, and upcoming standalone Emergency Department. With over 7,000 employees, Lakeland Regional Health offers a supportive work environment where you can thrive and grow professionally.

Active - Benefit Eligible and Accrues Time Off

Work Hours per Biweekly Pay Period: 80.00

Shift: M-F with Call Rotation

Location: 210 South Florida Avenue Lakeland, FL

Pay Rate: Min $106,953.60 Mid $133,692.00

Position Summary

The IS Senior Epic Server Engineer will be responsible for implementing and supporting Epic EHR solutions client and server components that take into account appropriate redundancy, availability, scalability, security and manageability requirements of Lakeland Regional Health’s IS Department. This individual will be part of a team that is responsible for the technical strategy, vision, architecture and evolution of LRH’s Epic implementation(s), infrastructure and ancillary technologies. This role will be responsible for architecture and implementations including, but not limited to, MyChart, Epic-Link, Epic Hyperspace Web, Epic interconnect servers, Epic FIPS servers, BCA and Web deployment, Kuiper, Haiku, and Canto to support Lakeland Regional’s patient, guest and employee population. He/she must have the experience and technical competence to implement server and application infrastructure, validate implementations and ready systems for operational hand overs. This individual will work collaboratively with other groups participating in system sustaining engineering activities such as upgrades, maintenance, enhancements, and expansions as well as provide last-level support of escalated technical issues. Knowledge of Cache or dba practices, VMware, Active Directory, and Citrix XenDesktop, and NetScaler preferred.

Position Responsibilities

People At The Heart Of All That We Do

• Fosters an inclusive and engaged environment through teamwork and collaboration.
• Ensures patients and families have the best possible experiences across the continuum of care.
• Communicates appropriately with patients, families, team members, and our community in a manner that treasures all people as uniquely created.

Safety And Performance Improvement

• Behaves in a mindful manner focused on self, patient, visitor, and team safety.
• Demonstrates accountability and commitment to quality work.
• Participates actively in process improvement and adoption of standard work.

Stewardship

• Demonstrates responsible use of LRH's resources including people, finances, equipment and facilities.
• Knows and adheres to organizational and department policies and procedures.

Standard Work: IS Senior Epic Server Engineer

• Designs, implements, manages and maintains the Epic Windows and Linux Server infrastructure, including installing/upgrading and/or deploying Epic applications on servers and clients using Kuiper, and System Pulse
• Manage and maintain Epic Virtual Servers, Hyperspace, EPS, Web BLOB, Hyperspace Web, BCA, MyChart, Carelink\Healthy Planet, Haiku, Rover, Care Everywhere, Home Health, Kuiper, and System Pulse services
• Support of other Epic Windows and Linux based applications as well as assisting other Epic 3rd party applications teams with their integration into Epic as needed
• Uses processes for monitoring performance of installed systems or services and takes corrective actions when necessary. Uses tools for capacity planning, reporting, and proactive problem solving. Screen and analyze application performance for potential bottlenecks, specify possible solutions, and act jointly with developers to apply those fixes
• Acts as a technical resource to evaluate evolving infrastructure technology and perform as a consultant interface to the business and clinical units for new company initiatives. Gather requirements from functional teams for their integrations with third party products
• Supports third party software implementation as a technical resource and maintains private and public cloud infrastructure
• Identify, repair, and resolve any Epic system hardware or software failures within the enterprise, in a timely manner and following company procedures and standards
• Evaluate applicable requirements to provide appropriate technical specifications and solutions for new and existing implementations
• Work closely with other departments, teams and engineers to build and troubleshoot virtual and physical systems and software implementations
• Develops and maintains systems documentation and technical procedures, user guides and run-books

Competencies & Skills

Essential:

• Subject matter expert on one or more of VMWare vSphere, ESXi, Horizon View and NSX, Citrix XenApp / Workspace with working knowledge of others
• Expert Knowledge of PowerShell, PowerCLi, PowerShell DSC
• Subject matter expert in Windows operating system administration, engineering and hardening, 2012, 2016, 2019 and Windows 10. MS Active Directory, Group Policy, DNS, DHCP, Microsoft SQL server administration to include high availability clustering
• Incident resolution, including ownership through resolution / break fix and ticket queue management
• Technically proficient, and certified by Epic in one or more of: Epic MyChart, Epic-Link, Epic Hyperspace Web, Epic interconnect servers, Epic FIPS servers, BCA and Web deployment, Kuiper, Haiku, and Canto

Nonessential:

• Certification multiple Epic disciplines, MyChart, Epic-Link, Epic Hyperspace Web, Epic interconnect servers, Epic FIPS servers, BCA and Web deployment, Kuiper, Haiku, and Canto
• Problem resolution, including ownership and communication through resolution
• Experience in a larger, highly available environment (500+ servers and multiple sites)
• VMWare Site Recovery Manager, PowerCLI/Scripting, vRealize/vCloud Operations Manager, vRealize/vCloud Automation
• ITIL / ITSM process and procedure. Strong troubleshooting and critical thinking skills

Qualifications & Experience

Essential:

• Bachelor Degree

Nonessential:

• Master Degree

Essential:

• Information Technology, Healthcare Administration, Information Management, or related field

Other information:

Experience Essential:

-Minimum six years of experience in IT infrastructure engineering to include: Inter-operational relationships of various infrastructure components, such as server systems, storage technology and software applications

-Server infrastructure and Server systems design, capacity planning, operations methodology, error detection and resolution techniques

-Expert level knowledge in administering VMware ESXi, vCenter, Horizon View, Citrix XenApp / Workspace

-Backup management, Disaster Recovery, vulnerability management, patch management and hot fixes on hardware, server OS and applications

-Experience managing and maintaining an electronic health record (EHR) in a large hospital environment

Experience Preferred:

-Server Hardware management with Cisco UCS Systems and/or HP ProLiant Servers OneView

-Enterprise system monitoring, log management and event analysis with an emphasis on event analysis, performance tuning and application optimization

-Expert level knowledge in server operating system, web servers and application hardening, developing and administering application security standards to include Client OS and Server OS

-Certification in one or more of the following: Microsoft SQL Server, Cache, Linux Operating System, Epic MyChart, Epic-Link, Epic Hyperspace Web, Epic interconnect servers, Epic FIPS servers, BCA and Web deployment, Kuiper, Haiku, and Canto

Certifications Essential:

-Microsoft MCSE, VMware VCP or Citrix CCEA

Certifications Preferred:

-Microsoft MCSE and one or more of: VMware VCP, Citrix CCEA or CCIA, Microsoft MCP, MCSA, or Other, Cisco CCNA, Palo Alto PCCSA