Stratus Clouds Jobs in Usa

The Enterprise Application Architect is responsible for defining and driving the product’s technical vision using Azure cloud-based solutions and event-driven architectures. This role requires a big-picture mindset, leveraging architectural best practices in software design and implementation to guide teams toward successful productization.

The ideal candidate has strong experience designing and building scalable cloud solutions grounded in Domain-Driven Design (DDD) principles and Microservices architecture within a highly collaborative Agile environment. Deep expertise in the .NET technology stack is essential, as you will work closely with engineering leads to ensure accurate and high-quality implementation.

The Enterprise Application Architect is expected to continuously expand their knowledge of emerging Azure capabilities and proactively integrate relevant services into the platform. Strong communication skills are critical, with the ability to clearly articulate technical concepts and architectural decisions to both technical teams and leadership.

Responsibilities

• Design and develop highly scalable, cloud-native applications on the Azure platform, leveraging modern paradigms such as microservices, serverless computing, and containerization using core services including Azure Functions, AKS, Azure Service Bus, Stream Analytics, Azure IoT, and Azure SQL.
• Provide technical leadership to feature teams during design, support developers throughout implementation, and guide DevOps teams during deployment.
• Define and evolve cloud application architecture; assess technical feasibility; conduct product design reviews with engineering leads and team members.
• Develop deep domain expertise and identify, analyze, and resolve architectural weaknesses, including scalability bottlenecks, domain modeling issues, and application-level conflicts.
• Stay current with industry trends and emerging technologies, applying optimal design patterns to ensure highly available, resilient, and scalable solutions.

Requirements

• Bachelor’s degree in a technical field or 10+ years of equivalent professional or military experience preferred.
• Master’s degree in Computer Science, Engineering, or a related field preferred.
• Minimum seven (7) years of hands-on experience architecting, designing, and developing enterprise-scale, cloud-based software solutions within an Agile environment.
• Strong proficiency in designing and building applications using ASP.NET Core and modern cloud paradigms, including containers and serverless technologies.
• Minimum five (5) years of C#/.NET development experience with deep expertise in ASP.NET Core.
• Proven experience architecting highly available, horizontally scalable systems.
• Hands-on experience designing and managing release processes, code merging and promotion strategies, CI/CD pipelines, and configuration management.

Technical Expertise

• Domain-Driven Design (DDD), Event-Driven Architecture, distributed systems
• Microservices and Micro-frontend architectures
• ASP.NET Core, RESTful APIs, API Management
• Azure Functions, Logic Apps, Azure Integration Accounts, Azure Stream Analytics
• Container platforms and Azure Kubernetes Service (AKS)
• Identity and Access Management (Azure AD, Azure AD B2C, OAuth2)
• Azure SQL and NoSQL solutions, including Azure Table Storage
• Azure IoT, ARM templates, DevOps pipelines, CLI scripting (preferred)
• Cloud monitoring tools such as Azure Log Analytics, Azure Monitor, and Application Insights
• Enterprise Architect modeling (preferred)
• Experience with D365 CRM, React, and Progressive Web Applications (preferred)

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.

Advanced Software Engineering Manager – DevOps / CI/CD

Location: Onsite – Cincinnati, Ohio (Blue Ash)

Employment Type: Direct Hire

Compensation: $145,000–$160,000/year

Benefits: Health, Dental, Vision, 401(k) with Match, PTO, Paid Holidays, and additional enterprise benefits

Travel: None

Start: ASAP

Open Role Due To: Technology modernization and enterprise platform expansion

About the Role

Our client, a global leader in enterprise technology and innovation, is seeking an Advanced Software Engineering Manager – DevOps / CI/CD to architect, operate, and continuously enhance a modern CI/CD ecosystem that enables fast, secure, and reliable software delivery across the organization.

This role will drive pipeline scalability, automation maturity, platform modernization, and operational excellence. You will partner closely with development, QA, architecture, IT, security, and product teams to accelerate engineering productivity while ensuring enterprise-grade security, compliance, and governance standards are met.

This is a highly visible leadership role requiring both strategic vision and strong hands-on technical expertise.

What You’ll Do

• Lead the design, development, and delivery of scalable, high-quality DevOps and CI/CD solutions aligned to enterprise architecture standards
• Architect and modernize CI/CD pipelines using Azure DevOps, GitHub Actions, Jenkins, and/or GitLab CI
• Develop Infrastructure as Code solutions using Terraform, Ansible, ARM/Bicep, and related tools
• Translate technology strategy into actionable roadmaps supporting enterprise project portfolios
• Drive modernization initiatives across cloud, infrastructure, automation, and security domains
• Lead migration strategies from current-state to future-state architecture aligned with capital planning cycles
• Present architectural recommendations to executive leadership, including cost/benefit and risk analysis
• Mentor engineers on software engineering best practices, reusable design patterns, and architectural principles
• Promote reusable frameworks, shared libraries, and automation standards
• Author and review architectural artifacts including system diagrams, interface specifications, and technical design documentation

Why This Role Stands Out

• Enterprise-wide impact with high visibility to senior leadership
• Opportunity to modernize and scale CI/CD platforms in a large, complex environment
• Strong influence over cloud architecture, automation strategy, and operational excellence
• Competitive compensation and comprehensive benefits package

What We’re Looking For

• Bachelor’s Degree in Computer Science or STEM-related field
• 8+ years of experience in DevOps, CI/CD, Infrastructure Engineering, or Site Reliability Engineering
• 5+ years leading the design and delivery of complex, large-scale, high-quality software or automation systems
• Strong hands-on expertise in software or infrastructure engineering, including design patterns and code structure
• Expertise with CI/CD platforms (Azure DevOps, GitHub Actions, Jenkins, GitLab CI)
• Strong proficiency in Infrastructure as Code tools (Terraform, Ansible, ARM/Bicep)
• Deep knowledge in at least two of the following: cloud platforms, APIs, application development, infrastructure/network design, middleware, servers & storage, database management, or operations
• Solid understanding of network and security architecture principles
• Experience with Linux and/or Windows systems, virtualization, and containerization
• Experience with enterprise observability and monitoring platforms
• Proven ability to operate strategically while delivering hands-on technical solutions
• Strong written, verbal, and presentation communication skills

Preferred Skills

• Experience building and mentoring high-performing engineering teams
• Experience designing and implementing elastic architectures in Azure and/or Google Cloud Platform
• Experience working in large-scale or regulated enterprise environments
• Experience with Google Cloud Platform (GCP) or Google Distributed Cloud (GDCE)
• Awareness of industry trends and competitive DevOps landscape

Business Area:

Seniority Level:

Job Description:

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises.

At Cloudera, our Data Services Pillar is the heart of data innovation. We don't just work with technology; we build it. Our mission is to empower data practitioners by creating seamless, enterprise-grade experiences for data engineering, warehousing, streaming, operational databases, and AI.

You will be a key member of the NFQE (Non Functional QE) team that drives the performance reliability of Cloudera's Kuberneteshosted data services. The role blends deep technical knowledge of performance testing, distributed data workloads, and container orchestration with a datadriven mindset. You'll design, automate, run, and analyze performance tests for Cloudera's flagship services, ensuring they meet or exceed customerdefined SLOs/SLAs at scales.

As a Performance Engineer, you will:

• Work with internal development teams and the open source community to proactively drive performance improvements/optimizations across our data warehouse and Data Engineering stack.

• Work with product managers, developers and the field team to understand performance and scale requirements, and develop benchmarks based on these requirements.

• Develop automation to execute benchmarks, collect and aggregate metrics and profiles, and report results, trends, and regressions.

• Analyze performance and scalability characteristics to identify bottlenecks in large-scale distributed systems.

• Perform root cause analysis of performance issues identified by internal testing and from customers and suggest corrective actions.

• Evaluate performance of systems and provide related guidance to the team.

We are excited about you if you have:

• 3 + years of industry experience in performance-related work, ideally on large-scale distributed systems

• Understanding of DBMS algorithms and data structure fundamentals.

• Understanding of hardware trends and full-stack systems performance: CPU, RAM, storage, network, Linux kernel, JVM, and distributed systems performance.

• Understanding of performance analysis tools and techniques.

• Strong design, coding skills, and test automation skills (Java/C++/Golang/Python preferred)

• Knowledge of relevant frameworks, cloud provider knowledge, K8s, etc.

• Ability to work in a distributed setting with team members spread in multiple geographies

• Demonstrated ability to work on large cross-functional projects, including strong written communication skills and a collaborative mindset, as you will be working with many teams inside and outside of Cloudera.

• Experience with benchmark and performance test design. You eshould understand basic concepts of performance testing including different types of performance tests (microbenchmarks, end-to-end benchmarks, concurrency and scale testing), how to reduce (or deal with) noise in test results, etc.

• Experience designing performance tests that provide useful insights into specific aspects of performance.

• Solid understanding of basic performance theory - in particular a very good understanding of latency, throughput, and concurrency and how they relate to each other.

• Strong understanding of the types of workloads they'll be testing Ideally they should have specific experience creating performance tests for the specific product area they'll be working on (SQL, ML, etc).

• B.S. or M.S. in Computer Science or equivalent experience.

You might also have:

• Experience with the Hadoop ecosystem (i.e. Hive, Impala, Spark), in specific Prior work on largescale data lakehouse or datawarehouse performance

• Hands-on experience with containerization, Kubernetes, public cloud infrastructure (AWS, Azure and/or GCP) and mesh-networks

• Certifications: CKA/CKAD, AWS Solutions Architect, GCP Cloud Architect, Azure Solutions Architect, or equivalent.

• Security & Compliance: Experience writing performance tests that also verify dataprivacy and audit compliance (e.g., GDPR, HIPAA).

Why this role matters:

This is your opportunity to build cloud-native solutions that are deployable anywhere whether in massive clusters on any cloud provider or in private data centers. You'll work with cutting-edge technologies like Trino, Spark, Airflow, and advanced AI inferencing systems to shape the future of analytics. Your code will directly influence how data engineers, analysts, and developers worldwide find value in their data.

We believe in the power of open source. You'll collaborate with project committers, contributing upstream to keep technologies like Apache Hive and Impala evolving. You'll harden these engines for rock-solid security, optimize them for peak performance, and make them effortlessly run across all environments. Join us and help build the trusted, cloud-native platform that powers insights for the most data-intensive companies on the planet.

This position is not eligible for sponsorship.

The expected base salary range for this role in:

• California is $124,000 - $155,000

The salary will vary depending on your job-related skills, experience and location.

What you can expect from us:

• Generous PTO Policy

• Support work life balance with Unplugged Days

• Flexible WFH Policy

• Mental & Physical Wellness programs

• Phone and Internet Reimbursement program

• Access to Continued Career Development

• Comprehensive Benefits and Competitive Packages

• Paid Volunteer Time

• Employee Resource Groups

EEO/VEVRAA

#LI-SZ1

#LI-HYBRID

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.

**CAN BE HYBRID IN DALLAS, CHICAGO, ATLANTA, NYC, OR FORT WASHINGTON, MD**

Our client is seeking a highly skilled Lead Full Stack Engineer to join our Enterprise Architecture & Engineering team. This is a high-impact role responsible for supporting and enhancing existing web applications while driving innovation through modern cloud and full-stack technologies.

You will lead the design and delivery of scalable, cloud-native solutions using Azure, C#/.NET, React, Next.js, and Node.js, partnering closely with product and senior leadership to shape the technical roadmap.

This role requires deep technical expertise, strong architectural judgment, and proven leadership experience managing distributed (onshore and offshore) engineering teams.

Responsibilities

• Lead the design, development, and ongoing maintenance of full-stack applications using Azure, C#/.NET, React, Next.js, and Node.js
• Provide production support and ensure high availability, performance, and reliability of applications
• Troubleshoot complex production issues and drive durable, long-term solutions
• Architect and implement scalable, secure, cloud-native solutions
• Drive technical evaluations and Proofs of Concept (POCs) for emerging technologies
• Partner with product managers and senior stakeholders to translate business needs into technical solutions
• Establish and enforce architecture standards, coding best practices, and documentation
• Mentor and lead distributed engineering teams to deliver high-quality software on schedule
• Facilitate cross-functional alignment across engineering, product, and business teams
• Maintain architecture diagrams and technical documentation to support knowledge sharing

Required Qualifications

• 8+ years of hands-on software development experience, including experience in a Lead or Senior Full Stack role

Strong expertise in:

• Azure
• C# / .NET
• React and Next.js
• Node.js
• SQL Server and NoSQL databases (e.g., Cosmos DB)
• Solid understanding of microservices and event-driven architectures
• Experience with containerization technologies such as Docker and Azure Service Fabric
• Hands-on experience building and maintaining CI/CD pipelines (Azure DevOps, Jenkins, or similar)
• Strong front-end and back-end fundamentals (JavaScript, HTML5, CSS, REST APIs, database design)
• Knowledge of application and cloud security principles (PKI, cryptography, SSL/TLS, secure protocols)
• Proven experience leading and mentoring onshore/offshore teams
• Excellent communication skills with the ability to influence senior stakeholders

Preferred Qualifications

• Experience deploying large-scale, cloud-native applications on Azure
• Familiarity with Kubernetes or other container orchestration platforms
• Exposure to Python and AI/ML technologies (e.g., Azure Cognitive Services, LangChain, Azure Document Intelligence, Azure OpenAI)
• Understanding of cloud infrastructure and security best practices
• Experience designing and executing technical POCs

W2(Consultant required in W2 only )

Job Title: Consultant | Oracle Cloud | Payroll Cloud

Location: Plano, TX 75024

Duration: 4 Months Contract

Visa: Only Visa Independent Candidates (USC)

Experience Required: 8–10 Years

Job Description:

Sally Beauty Holdings is implementing the US Oracle Payroll Tax Engine project and is looking for an experienced Oracle HCM Cloud SME with strong expertise in Payroll.

The ideal candidate should have deep functional knowledge of Oracle HCM Cloud Payroll and experience supporting payroll implementations, particularly related to US payroll tax configuration and processing.

Required Skills:

• Strong experience with Oracle HCM Cloud Payroll
• Expertise in Oracle Payroll
• Experience with Core HR
• Knowledge of US Payroll Tax Engine implementation
• Ability to work as an HCM Cloud SME and support payroll configuration and deployment

HCLTech is looking for a highly talented and self- motivated B2B Architect to join it in advancing the technological world through innovation and creativity.

Job Title: B2B Architect

Job ID: 72273

Position Type: Full Time

Location: Onsite

Role Overview:

Mandatory Skills

• Technical Expertise
• Hands-on experience with Salesforce B2B Commerce Cloud (Lightning).
• Strong knowledge of Apex, JavaScript, and Salesforce Lightning frameworks.
• Experience with Salesforce CPQ and Revenue Cloud.
• Architecture & Integration
• Deep understanding of enterprise architecture principles.
• Experience in integrating complex ecosystems with APIs and middleware.
• Leadership & Communication
• Ability to lead cross-functional teams.
• Strong communication skills to bridge technical and business stakeholders.

Experience Level

• Typically 10+ years in Salesforce or enterprise architecture roles.
• Proven track record in delivering large-scale B2B commerce solutions.

Role Summary

A B2B Architect is responsible for designing, implementing, and overseeing enterprise-grade B2B commerce solutions. They act as a technical advisor and solution leader, ensuring that digital commerce ecosystems are scalable, secure, and aligned with business goals.

Key Responsibilities

Solution Design & Architecture

• Lead the design of Salesforce B2B Commerce Cloud solutions (including CPQ/Revenue Cloud).
• Define system architecture, integration patterns, and data flows.
• Ensure scalability, performance, and security of B2B platforms.

Technical Leadership

• Guide development teams in implementing custom UI components (LWC/Aura) and backend logic (Apex).
• Provide best practices for Salesforce B2B Commerce administration and configuration.
• Mentor junior developers and act as a trusted advisor for stakeholders.
• Integration & Ecosystem Management
• Integrate Salesforce with third-party systems using REST/SOAP APIs.
• Oversee quote-to-cash processes and digital commerce workflows.
• Ensure seamless connectivity across ERP, CRM, and external platforms.

Project Delivery

• Collaborate with business stakeholders to translate requirements into technical solutions.
• Drive end-to-end delivery of large-scale B2B commerce projects.
• Manage technical risks and propose mitigation strategies.

Required Skills & Experience

Technical Expertise

• Hands-on experience with Salesforce B2B Commerce Cloud (Lightning).
• Strong knowledge of Apex, JavaScript, and Salesforce Lightning frameworks.
• Experience with Salesforce CPQ and Revenue Cloud.
• Architecture & Integration
• Deep understanding of enterprise architecture principles.
• Experience in integrating complex ecosystems with APIs and middleware.
• Leadership & Communication
• Ability to lead cross-functional teams.
• Strong communication skills to bridge technical and business stakeholders.

Experience Level

• Typically 10+ years in Salesforce or enterprise architecture roles.
• Proven track record in delivering large-scale B2B commerce solutions.

Pay and Benefits

Pay Range Minimum: $118000 per year

Pay Range Maximum: $184000 per year

HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to for investigation.

A candidate’s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year

How You’ll Grow

At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your

brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.

Principal Program Manager: Data Center Infrastructure & Rack Integration

Based onsite in Austin, TX

What can you expect to do?

• Customer-Facing Program Leadership : Serve as the primary liaison for global cloud customers, leading cross-functional teams and external vendors to deliver tailored infrastructure solutions. Anticipates, meets and exceeds expectations by solving problems quickly and effectively, making customer satisfaction a priority.
• Modular Data Center Expertise : Manage the design, planning, assembly, configuration, testing, and global delivery of Modular Data Center solutions and other Data Center Infrastructure Programs.
• End-to-End Rack Integration : Manage the design, planning, assembly, configuration, testing, and global delivery of integrated rack solutions.
• Enterprise Cloud Solutions : Develop and deploy highly customized enterprise cloud infrastructure for large-scale customers, ensuring alignment with technical and business requirements.
• Global Coordination : Collaborate with engineering, supply chain, procurement, logistics, and multiple global integrator facilities to ensure seamless execution and customer satisfaction.
• Cross-Functional Team Management : Lead diverse teams across Production Operations, Procurement, Logistics, and Customer Care to fulfill infrastructure needs with timely execution and post-sales support.
• Technical Oversight : Coordinate and execute the design, build, and test of various rack configurations, ensuring quality, scalability, and performance standards are met.
• Operational Excellence : Drive continuous improvement in program execution, risk management, and operational efficiency across global integration centers. Responsible for program planning and scheduling, including the timing and resources required to deliver upon key milestones / deliverables and the implications from key interdependencies.

What is the experience needed to be successful in this role?

• Bachelor’s degree in Engineering, Business, or related field required; Master’s preferred.
• 12-15+ years of experience in program management in rack integration, modular data centers, or cloud infrastructure.
• Proven success in customer-facing roles managing large-scale, global programs.
• Proven ability to develop effective, matrixed, cross-organization programs and best practices, collaborating and communicating across business and technology stakeholders and multiple geographies.
• Deep understanding of MDC architecture, rack-level integration, and hyperscale cloud infrastructure.
• Strong leadership, communication, and stakeholder management skills.
• PMP or equivalent certification is a plus.

Benefits Package with Jabil

Along with growth, stability, and the opportunity to be challenged, Jabil offers a competitive benefits package that includes:

• Competitive Base Salary
• Annual Bonus
• Medical, Dental, Prescription Drug, and Vision Insurance with HRA and HSA options
• 401K Match
• Employee Stock Purchase Plan
• Paid Time Off
• Tuition Reimbursement
• Life, AD&D, and Disability Insurance
• Commuter Benefits
• Employee Assistance Program
• Pet Insurance
• Adoption Assistance
• Annual Merit Increases
• Community Volunteer Opportunities

Principal Program Manager: Data Center Infrastructure & Rack Integration

Based onsite in Austin, TX

What can you expect to do?

• Customer-Facing Program Leadership : Serve as the primary liaison for global cloud customers, leading cross-functional teams and external vendors to deliver tailored infrastructure solutions. Anticipates, meets and exceeds expectations by solving problems quickly and effectively, making customer satisfaction a priority.
• Modular Data Center Expertise : Manage the design, planning, assembly, configuration, testing, and global delivery of Modular Data Center solutions and other Data Center Infrastructure Programs.
• End-to-End Rack Integration : Manage the design, planning, assembly, configuration, testing, and global delivery of integrated rack solutions.
• Enterprise Cloud Solutions : Develop and deploy highly customized enterprise cloud infrastructure for large-scale customers, ensuring alignment with technical and business requirements.
• Global Coordination : Collaborate with engineering, supply chain, procurement, logistics, and multiple global integrator facilities to ensure seamless execution and customer satisfaction.
• Cross-Functional Team Management : Lead diverse teams across Production Operations, Procurement, Logistics, and Customer Care to fulfill infrastructure needs with timely execution and post-sales support.
• Technical Oversight : Coordinate and execute the design, build, and test of various rack configurations, ensuring quality, scalability, and performance standards are met.
• Operational Excellence : Drive continuous improvement in program execution, risk management, and operational efficiency across global integration centers. Responsible for program planning and scheduling, including the timing and resources required to deliver upon key milestones / deliverables and the implications from key interdependencies.

What is the experience needed to be successful in this role?

• Bachelor’s degree in Engineering, Business, or related field required; Master’s preferred.
• 12-15+ years of experience in program management in rack integration, modular data centers, or cloud infrastructure.
• Proven success in customer-facing roles managing large-scale, global programs.
• Proven ability to develop effective, matrixed, cross-organization programs and best practices, collaborating and communicating across business and technology stakeholders and multiple geographies.
• Deep understanding of MDC architecture, rack-level integration, and hyperscale cloud infrastructure.
• Strong leadership, communication, and stakeholder management skills.
• PMP or equivalent certification is a plus.

Benefits Package with Jabil

Along with growth, stability, and the opportunity to be challenged, Jabil offers a competitive benefits package that includes:

• Competitive Base Salary
• Annual Bonus
• Medical, Dental, Prescription Drug, and Vision Insurance with HRA and HSA options
• 401K Match
• Employee Stock Purchase Plan
• Paid Time Off
• Tuition Reimbursement
• Life, AD&D, and Disability Insurance
• Commuter Benefits
• Employee Assistance Program
• Pet Insurance
• Adoption Assistance
• Annual Merit Increases
• Community Volunteer Opportunities

** Please note: applicants must hold U.S. Citizenship/Green Card to be considered for this role **

Role: IT Manager, Infrastructure Services

Compensation Range: $150,000-200,000 + Benefits

Location: Nashville, TN

Work Schedule: On-site 5 days per week

Industry: Retail

About the Role

Our client is a rapidly evolving, multi‑site organization in the retail/industrial sector and is seeking a Manager of Infrastructure Services to lead the overall strategy, operations, and continuous improvement of the company’s IT infrastructure.

This leader will oversee all core infrastructure functions, including networking, servers, storage, cloud services, end‑user computing, voice systems, and security, while partnering closely with a third‑party MSP for day‑to‑day delivery. The role requires a hands‑on, seasoned infrastructure professional who can operate as both a technical expert and a strong operational leader.

This is a high‑impact position with significant visibility across the organization and the opportunity to guide the company through major modernization and cloud‑migration initiatives.

Key Responsibilities

Infrastructure Leadership & Strategy

• Assess the organization’s infrastructure landscape and develop recommendations to strengthen stability, scalability, and performance.
• Provide regular updates to leadership on system health, risks, and improvement opportunities.
• Define and manage service levels, operational standards, and performance expectations across infrastructure services.

Team & Vendor Management

• Lead and mentor the Infrastructure team, overseeing workloads, performance, development, and resourcing.
• Manage and hold the third‑party MSP accountable for high‑quality delivery across support, network operations, and systems administration.
• Oversee vendor and contract management, including licensing, renewals, and selection of new partners.

Systems & Network Administration

• Direct the design, implementation, and maintenance of company‑wide infrastructure, including network, servers, storage, backups, cloud platforms, and voice systems.
• Ensure strong availability, disaster recovery readiness, and security controls across all infrastructure components.
• Partner with application and business teams to ensure infrastructure meets evolving technical and operational needs.

Operational Excellence

• Establish and monitor infrastructure KPIs, including uptime, performance, and service delivery metrics.
• Drive continuous improvement by applying industry best practices across configuration, monitoring, patching, and lifecycle management.
• Resolve operational and technical issues, addressing root causes across people, processes, and technology.

Cross‑Functional Collaboration

• Partner with leaders across IT and the business to support project delivery, integrations, and system enhancements.
• Provide technical consulting and guidance on major organizational initiatives.
• Assist in developing and managing the infrastructure budget and capital planning.

Qualifications

Required

• Bachelor’s degree in Computer Science, Information Systems, or related field.
• 10+ years of experience in IT infrastructure spanning networking, servers, storage, cloud, and end‑user computing.
• At least 3 years of experience managing technical teams in an enterprise environment.
• Strong understanding of LAN/WAN architectures, server technologies, virtualization, storage systems, wireless, and endpoint technologies.
• Experience managing MSPs, vendors, contracts, and licensing.
• Advanced proficiency with Microsoft tools including MS Office, Outlook/Exchange, and general project‑management applications.
• Excellent communication and interpersonal skills — able to work effectively with both technical and non‑technical stakeholders.
• Ability to convey complex technical concepts in a clear, concise manner and provide effective training where needed.

Preferred

• Experience supporting a distributed, multi‑site environment.
• Knowledge of cloud platforms (Azure preferred) and hybrid infrastructure models.
• Familiarity with ITIL practices and service‑management workflows.

Working Environment

• Standard office environment with occasional travel to distributed sites.
• Fast‑moving, transformation‑focused organization with opportunities for major impact and leadership visibility.

Job Title: IT Manager, Infrastructure Services

Location: Nashville, TN

Job ID #: 510786663

8116 - Midtown Office - 2220 W. Broad Street, Richmond, Virginia, 23220

CarMax, the way your career should be!

About this job

As a BI Platform Engineer, you will be responsible for the administration, optimization, and support of enterprise business intelligence platforms including Power BI and Tableau. You will work closely with multiple analyst and Technology Infrastructure teams to ensure high availability, performance, and scalability of BI environments. Your expertise in Data & Analytics platform engineering, automation, cloud technologies, and user enablement will help drive data democratization and empower business users with reliable, secure, and performant analytics tools.

In addition, you will leverage Artificial Intelligence (AI) capabilities to enhance platform operations, automate routine tasks, and improve user experience. Your ability to integrate intelligent automation and predictive analytics into BI workflows will help drive innovation and efficiency across the organization.

What you will do – Essential Responsibilities

• Administer, monitor, and optimize Power BI and Tableau platforms across cloud and on-prem environments.
• Implement and manage user access, security roles, and governance policies to ensure data protection and compliance.
• Manage PowerBI Fabric capacities, gateway, workspaces and licensing
• Collaborate with cross-functional teams to support dashboard development, data source integration, and performance tuning.
• Automate platform maintenance tasks including upgrades, patching, backups, access provisioning and license management.
• Develop and maintain CI/CD pipelines for BI content deployment and version control.
• Integrate AI tools to automate platform monitoring, anomaly detection, and performance optimization.
• Provide technical support and troubleshooting for BI platform issues and user inquiries.
• Drive adoption of BI tools through training, documentation, and enablement initiatives.
• Monitor platform usage and performance metrics to identify opportunities for optimization and cost savings.
• Stay current with BI platform updates, features, and industry best practices.
• Partner with data governance and security teams to ensure compliance with enterprise standards.
• Participate in major incident response and root cause analysis for BI-related outages or performance issues.
• Mentor junior team members and promote best practices in BI platform administration and engineering.

Purpose of the role

The BI Admin/Platform Engineer plays a critical role in ensuring the reliability, scalability, and usability of enterprise BI platforms, enabling data-driven decision-making across the organization. By integrating AI capabilities, this role also contributes to smarter, more efficient platform operations and user experiences.

Qualifications and Requirements

Basic Qualifications

• 5+ years of experience administering Power BI.
• Experience with Azure services including Azure SQL, Azure Data Factory, and Azure Active Directory.
• Strong understanding of BI architecture, data modeling, and dashboard performance optimization.
• Proficiency in scripting languages such as PowerShell, Python, or Bash for automation.
• Experience with CI/CD tools such as Azure DevOps or GitHub Actions.
• Familiarity with enterprise data lake/warehouse environments (EDL/EDW).
• Strong troubleshooting skills and experience with platform monitoring tools.
• Strong documentation, communication, and presentation skills.
• Experience working in Agile/Scrum environments
• Experience in cloud cost-savings plans, reviews, and reserved instances.
• Ability to positively influence team norms, culture, and technical vision
• Excellent communication skills with the ability to adapt to the audience
• Experience in a fast-paced, highly collaborative agile team within a Product-oriented organization.
• Effective problem-solving, analytical thinking, and a cloud-native and DevOps mindset.

Preferred Qualifications

• Experience in PowerBI Fabric and migration from PBIRS to Fabric
• Bachelor’s/Master’s degree in Computer Science, Information Systems, or related field
• Power BI and Tableau certifications
• Snowflake SnowPro, Azure, Databricks certifications
• Experience with cloud services such as Snowflake, Databricks, Azure Data Factory, Event Hub, Functions, Batch, Key Vault, and Log Analytics
• Strong experience with popular database programming languages such as SQL, PL/SQL, Stored Procedures
• Experience with Snowflake, Databricks, and other modern data platforms.
• Knowledge of REST APIs and scripting for platform automation.
• Familiarity with data governance, metadata management, and self-service BI enablement.

Work Location and Arrangement: This role will be based out of the CarMax Midtown office, Richmond VA or CarMax Technology Hub, Plano TX and have a Hybrid work arrangement.

• Associates based in Richmond work onsite 5 days per week.
• Associates based in Plano work onsite 2 days per week.

Work Authorization: Applicants must be currently authorized to work in the United States on a full-time basis. Sponsorship will not be considered for this specific role.

Position Overview

The IT Network Engineer at Spotless Brands ("Company") serves as the primary technical owner of our enterprise network architecture across all car wash locations, data centers, cloud services and corporate offices. This role is responsible for designing, implementing, securing, and operating a highly available, scalable, and cost-effective network that supports Point-Of-Sale systems, wash equipment, IoT devices, video systems, guest Wi-Fi, and corporate applications.

This is a hands-on, design-authority role. You will define standards, lead network strategy, and be the escalation point for complex network issues in a geographically distributed, business-critical environment where uptime directly impacts revenue. This role will support our cyber security capabilities and partner with vendors to ensure data and mobile career performance and availability.

This role will be the leader for delivering network services and join an exciting, growing company. You will make a difference in our business and we will invest in you to grow your career!

Key Responsibilities

Network Architecture and Deployment

• Design, implement, and support LAN, WAN, VPN, SD‑WAN, and wireless networks across corporate and retail locations
• Configure and maintain routing, switching, VLAN segmentation, and WAN connectivity
• Support onboarding and integration of newly acquired locations
• Implement scalable network designs aligned with Spotless Brands’ growth strategy
• Retail and Field Network Support
• Ensure reliable connectivity for POS systems, payment processing, tunnel controllers, license plate recognition, video and IoT water monitoring devices
• Support retail uptime requirements and minimize business disruption
• Work with Field IT teams and vendors to deploy network infrastructure at new and existing sites
• Cloud and Hybrid Networking
• Support Azure networking including VNets, VPN Gateway, private endpoints, and hybrid connectivity
• Maintain secure connectivity between on‑premise infrastructure and Azure cloud services
• Support SaaS integrations and secure internet access for distributed locations
• Network Security
• Configure and manage firewall platforms
• Implement network segmentation, VPN access, and secure remote connectivity
• Support cybersecurity initiatives aligned with NIST Cybersecurity Framework and PCI requirements
• Assist with vulnerability remediation and incident response
• Operations and Monitoring
• Monitor network performance, availability, and reliability across all sites
• Troubleshoot and resolve network outages, latency issues, and connectivity failures
• Maintain network diagrams, configurations, and documentation
• Participate in on‑call support rotation
• Vendor and Project Support
• Work with ISPs, managed service providers, and hardware vendors
• Support infrastructure upgrades, cloud migration initiatives, and SD‑WAN rollout
• Participate in technology evaluation and architecture planning

Education and Experience

• Bachelor’s degree in Information Technology, Computer Science, or related field (or equivalent experience)
• 5–10 years of enterprise network engineering experience
• Experience supporting distributed, multi‑site environments
• Strong experience with routing, switching, and firewall configuration
• Experience with enterprise wireless networks
• Experience with VPN technologies and secure remote connectivity
• Experience supporting Azure or hybrid cloud environments

Knowledge, Skills, and Abilities

• Experience with Fortinet, Cisco Meraki, Cisco, or Sonicwall networking platforms
• Experience with Azure networking (VNets, VPN Gateway, ExpressRoute)
• Experience supporting retail or distributed operational environments
• Experience with SD‑WAN solutions
• Network automation experience using PowerShell or Python
• Industry certifications such as CCNA, CCNP, AZ‑700, NSE, or equivalent
• Good organization, time management, and prioritization skills
• Excellent reasoning, analytical, problem-solving, and critical thinking skills
• Strong troubleshooting and root cause analysis skills
• Strong attention to detail

Physical Requirements

• Ability to work at a computer for extended periods of time
• Occasional travel to field sites or business locations as required; travel less than 10%
• May require occasional extended hours during system updates or incident resolution

This job description in no way states or implies that these are the only duties to be performed by the employee(s) in this position. Employee(s) will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments.

All duties and responsibilities are essential job functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the incumbent(s) will possess the skills, aptitudes, and abilities to perform each duty proficiently. The requirements listed in this document are the minimum levels of knowledge, skills, and abilities.

Spotless Brands and its subsidiaries comply with federal and state disability laws and make reasonable accommodation for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or recruitment process, please contact the Human Resources department and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Human Resources team will respond to your email promptly.

Spotless Brands and its affiliate brands are Equal Employment Opportunity (EEO) employers. Spotless Brands invites all qualified interested applicants to apply for career opportunities. It is the policy of the company to provide equal opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran, disabled status or any other protected group status as defined by and subject to applicable federal, state and local laws. We use E-Verify to check employment eligibility: and

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.

• 
  
• The Business Systems Analyst (BSA) will support client's enterprise Identity & Access Management (IAM) transformation. This includes:
  
• WIAM migration activities (metadata and certificate updating, coordination with client applications, etc)
  
• PingFederate to PingOne Advanced Identity Cloud (AIC) modernization
  
• Access governance improvements (who has access to what, and why)
  
• Cross?platform identity initiatives spanning Security Services
  
• This role bridges business needs and engineering delivery by ensuring work is clearly defined, well documented, properly tracked, and delivered with strong testing and governance.
  

• 
  
• SAML certificate lifecycle coordination
  
• SAML = Security Assertion Markup Language (a standard for single sign-on)
  
• Coordinating certificate rotation across multiple applications, environments, and vendors
  
• Tracking owners, dates, dependencies, and cut over steps in structured trackers (e.g., Excel)
  
• SAML connection migration planning and execution support
  
• Helping move Identity Provider (IdP) connections from legacy federation to modern platforms
  
• IdP = Identity Provider (system that authenticates users)
  
• Migration readiness and execution tracking
  
• Requirements capture, integration mapping, status reporting, and risk/dependency management
  
• Documentation at scale
  
• Maintaining living runbooks and migration guidance in Confluence
  
• Keeping Jira work items audit-ready with clear ownership and due dates
  

• 
  
• IAM Program & WIAM Migration Support
  
  
  • 
    
  • Support engineering teams migrating PingFederate connections to PingOne Advanced Identity Cloud (AIC) and Microsoft Entra ID
    
  • Entra ID = Microsoft's cloud identity service (formerly Azure AD)
    
  • Track milestones and deliverables across workstreams, including:
    
  • Certificate updates and expirations
    
  • RBAC updates
    
  • RBAC = Role-Based Access Control (access is granted by role)
    
  • Compliance-driven tasks and evidence
    
  • Coordinate dependencies across multiple IAM workstreams to prevent bottlenecks
    
  • Conduct impact analysis of technology changes on business processes and IAM systems
    
  • Provide system and business process support across multiple IAM program engagements
    
  
  
  
• Business Analysis & Delivery Coordination
  
  • 
    
  • Plan, elicit, capture, analyze, and validate requirements for IAM initiatives:
    
  • Business requirements (what is needed)
    
  • Functional requirements (what the solution must do)
    
  • Technical requirements (how it integrates and operates)
    
  • Document and assess current-state IAM processes, integrations, and access models
    
  • Maintain rigorous Jira notes including:
    
  • Ownership, due dates, constraints, risks, dependencies, and decisions
    
  • Maintain accurate, iterative Confluence documentation for all IAM projects
    
  • Assist with data models and interface specifications where needed for IAM systems
    
  • Log system and process changes using approved change management tools (e.g., FastTrack)
    
  • Ensure IAM changes are properly tested before deployment
    
  • Coordinate UAT and functional testing
    
  • UAT = User Acceptance Testing (business confirms the solution meets needs)
    
  
  
  
• Meeting & Stakeholder Management
  
  • 
    
  • Facilitate discussions between engineering, security architecture, business stakeholders, and program leadership
    
  • Support collaborative system and data design sessions with users and technical teams
    
  • Coordinate meetings responsibly (e.g., avoid conflicts with Agile ceremonies)
    
  • Summarize meetings with clear action items and track accountability
    
  • Present complex IAM options and tradeoffs in a clear, decision-supporting way
    
  
  
  
• ???Quality, Documentation & Governance
  
  • 
    
  • Ensure IAM changes and access-control updates are properly authorized by management
    
  • Handle confidential identity-related information professionally and securely
    
  • Support compliance needs, including IAM controls, audit readiness, and certificate expiration management
    
  • Ensure documentation is clear, complete, current, and aligned to corporate standards
    
  • Adhere to corporate policies, procedures, and IAM governance requirements
    
  
  
  

• 
  
• Core Experience (Required)
  
  • 
    
  • Proven experience (1+ years) as an IT Business Analyst / Business Systems Analyst supporting complex corporate environments
    
  • Extensive experience with large scale migrations or updates across multiple organizations and third party vendors
    
  • Hands-on experience with IAM concepts and platforms, such as:
    
  • Federation and SSO
    
  • SSO = Single Sign-On (one login for multiple apps)
    
  • SAML and certificates
    
  • RBAC
    
  • Directory technologies (e.g., LDAP/AD concepts)
    
  • Strong understanding of SDLC and testing methods
    
  • SDLC = Systems Development Life Cycle (plan build test deploy support)
    
  • Demonstrated ability to manage and track multiple simultaneous workstreams with high attention to detail
    
  
  
  
• Technical & Analytical Skills (Required)
  
  • 
    
  • Strong Excel skills for tracking plans, owners, timelines, and dependencies
    
  • Ability to review/analyze data sets and system outputs; familiarity with ODBC is a plus
    
  • ODBC = Open Database Connectivity (standard way to connect to databases)
    
  • Ability to produce process documentation that is structured and easy to follow
    
  • Strong experience with Scrum/Agile delivery tools (e.g., Jira and Confluence)
    
  
  
  
• Behavioral & Professional (Required)
  
  • 
    
  • Strong stakeholder management and the ability to influence with data-driven reasoning
    
  • Highly organized multitasker with attention to detail
    
  • Energetic, engaging, and collaborative working style
    
  • Demonstrates professionalism and ethical conduct in all interactions
    
  
  
  
• Education / Background
  
  • 
    
  • BA/BS in Business, Computer Science, or related field OR equivalent experience (e.g.,
    
  • 10+ years comparable experience)
    
  • Compliance familiarity (security, audit, access control) strongly preferred
    
  • Prior experience in Identity & Access Management, Security, or similar field
    
  
  
  

• 
  
• Required (Day 1 Readiness)
  
  • 
    
  • Jira (work tracking, user stories, acceptance criteria)
    
  • Confluence (documentation, runbooks, migration guidance, decision logs)
    
  • Servicenow (ticketing and request flows)
    
  • Excel (tracking owners, dependencies, milestones, certificate rotations, cutover plans)
    
  • SAML / certificates (baseline understanding of certificate rotation impacts and coordination)
    
  • Working knowledge of at least one identity platform:
    
  • PingFederate (legacy federation) and/or
    
  • PingOne Advanced Identity Cloud (AIC) and/or
    
  • Microsoft Entra ID
    
  
  
  
• Nice to Have (Accelerators)
  
  • 
    
  • Visio / Miro (process flows, integration diagrams)
    
  • Splunk familiarity or other log query experience
    
  • SharePoint (document management / collaboration)
    
  • Microsoft Project / Project Server (formal project plans and dependencies)
    
  • Change management tooling (e.g., FastTrack)
    
  • Scripting familiarity (e.g., Python) for light automation or data validation
    
  • eCommerce domain exposure (rare, but beneficial in some integration scenarios)
    
  
  
  

• 
  
• Preferred
  
  • 
    
  • Security/IAM adjacent certification (any of the below are helpful)
    
  • CISSP
    
  • Security+ (baseline security knowledge)
    
  • Identity-focused training/certificates (Ping/Microsoft identity learning paths)
    
  
  
  
• Nice to Have
  
  • 
    
  • CBAP / CCBA (IIBA Business Analysis certifications)
    
  • CBAP = Certified Business Analysis Professional
    
  • CCBA = Certification of Capability in Business Analysis
    
  • Agile certification (CSM, PSM, or equivalent)
    
  • CSM = Certified ScrumMaster
    
  • PSM = Professional Scrum Master
    
  • Cloud fundamentals (Azure fundamentals or similar)
    
  • Testing certifications (ISTQB or equivalent)
    
  • ISTQB = International Software Testing Qualifications Board