Prometheus And Pandora Summary Jobs in Usa

About Prometheus Group

Prometheus Group is a team of self-starters centered on being resourceful, accountable, and results-focused. Career progress is based on merit and not years of service or attaining certifications. Our drive and dedication to creating great products for our global customers are at the heart of all we do! In joining Prometheus, you will become a part of the largest global provider of comprehensive enterprise asset management (EAM) software solutions that support the management life cycle for equipment maintenance and operations.

Job Summary

The Associate Account Manager is responsible for selling Prometheus Group products and services to new and existing Prometheus Group customers as well as developing pipeline to drive revenue growth.

Responsibilities

• Sales and Territory Development
• Achieve or exceed quota targets.
• Develop effective and specific opportunity/account plans to ensure revenue target delivery and sustainable growth
• Establish and maintain key relationships at multiple levels within the assigned accounts
• Develop and deliver overviews, presentations, and coordinate high level functional product demonstrations to new and existing accounts.
• Participate in the development of the assigned region, including accounts, account relationships, prospect profiling and sales cycles.
• Participate in the development and delivery of a comprehensive business case to address customer and prospect priorities and pain points.
• Follow a disciplined approach to maintaining a rolling pipeline. Keep pipeline current and moving up the pipeline curve.
• Support all Prometheus promotions and events in the assigned region.
• Maintain SalesForce system with accurate customer and pipeline information.
• Territory Development
• Find and nurture opportunities for company’s solutions by cold calling into targeted companies and following up with leads
• Work in coordination with Account Executives to target high value prospects in assigned territory Generate a sufficient number of new opportunities per month
• Articulate business value to prospects
• Gather prospects needs and understand their initiatives as they relate to the solution
• Occasionally travel for trade shows and travel to customers
• Document all activity related to accounts using
• Keep current with industry knowledge and best practices to effectively communicate with prospects

Skills and Experience

• B.S/B.A. in Business, Communication or related field
• 2-4 years’ sales experience within software
• Customer-focused, results-driven, excellent communicator
• High energy, self-starter who can learn quickly and easily engage clients
• Able to work effectively as an individual contributor as well as within a team
• Foreign language skills a plus

Benefits Overview

We offer an attractive benefits program to meet the diverse needs of our teammates:

• Employee base HSA plan, dental, life and short-term disability coverage 100% paid for by Prometheus Group
• HSA & FSA plan options
• Retirement Savings with Generous Company Match & Immediate Vesting
• Gym membership to O2 Fitness
• Casual dress attire
• Half-Day Fridays
• Generous Paid Time Off
• Company Outings, Trips & Activities
• Paid Parental Leave

Prometheus Group is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Company Description

Prometheus Materials is at the forefront of sustainable innovation, providing cutting-edge building materials that drive the transition to a carbon-negative future. Drawing inspiration from nature, our solutions utilize microalgae in the creation of our ProZERO™ line of carbon-negative supplemental cement blends. These blends are optimized for ready-mix concrete applications, manufactured products, and licensed material solutions tailored to the needs of existing concrete manufacturers. Prometheus Materials is dedicated to reshaping the construction industry with environmentally friendly and high-performance materials.

Role Description

This is a full-time, on-site role for a Sales Executive, based in Longmont, CO. The Sales Executive will be responsible for driving revenue growth by identifying and pursuing sales opportunities, building and nurturing client relationships, and developing sales strategies. Key responsibilities include generating leads, delivering presentations, negotiating contracts, closing ​t​ransactions and achieving sales targets. Collaboration with internal teams to align sales strategies with business objectives will also be an integral part of the role. The Sales Executive is responsible for identifying, developing, selling and closing customers in Colorado, Arizona, New Mexico, Wyoming, So. California and Texas. You will evaluate and execute new business opportunities which align with Prometheus Materials’ overall market growth strategies. This position will work closely with building owners, architects, distributors, general contractors, cement manufacturers, and ready mix concrete providers.

Qualifications

• Strong sales and negotiation skills, with the ability to build and maintain client relationships.
• Proficiency in creating sales strategies, delivering effective presentations, and closing transactions.
• Excellent communication and interpersonal skills to engage effectively with clients and internal teams.
• Knowledge of sustainable building materials or the construction industry is an advantage.
• Self-motivated, results-driven, and organized, with the ability to meet sales targets and deadlines.
• Proficiency in relevant sales and CRM tools is preferred
• Minimum of 5 years of experience in sales in the cement and/or concrete related industries
• Experience within the building materials industry preferred (e.g., sand and gravel, cement, ready mix, or admixtures)
• Proven experience collaborating with industry experts (Architects and Engineers)
• Working knowledge of key high-level industry standards relating to cement, concrete, and aggregates
• Strong understanding of business-to-business sales cycles, sales strategies, and key performance metrics (KPIs)
• Demonstrated experience developing, managing, and executing sales strategies to drive revenue growth
• Knowledge or experience with sustainability initiatives, LEED certification, and carbon reduction targets
• Strong negotiation, presentation, and facilitation skills

Responsibilities

This is a summary of activities and is not intended to be all-inclusive of all responsibilities​:

• Meet or exceed agreed upon sales attainment goals
• Develop, maintain, and track product backlog and bid activity
• Create and manage key account plans, including defined goals, activities, strategies, and timelines
• Communicate regular updates of key performance indicators, including volume, revenue, and strategic initiatives
• Identify, secure, grow, and manage key licensing opportunities across multiple industries
• Monitor and maintain competitive intelligence, including competitor products, pricing strategies, and development activities
• Regularly review the sales cycle and implement continuous improvement strategies
• Travel up to 40% as required

Please send resume and cover letter to

Company Description

Prometheus Materials develops innovative sustainable building materials to drive the transition toward a carbon-negative future. Using nature-inspired processes, the company utilizes microalgae to produce its ProZERO™ line of carbon-negative supplemental cement blends, designed for ready-mix concrete applications, manufactured products, and licensed material solutions. These cutting-edge materials address the environmental challenges of traditional construction while offering scalable solutions for concrete manufacturers.

Role Description

The Director of Business Development is responsible for identifying and developing the sales and marketing strategies leading to long-term, profitable growth. You will evaluate and execute new business opportunities which align with Prometheus Materials’ overall market growth strategies. This position will work closely with distributors, vendors, and customers. Additionally, close collaboration with internal business units (biotechnology, research and development, manufacturing, and product management) will be essential to the success of the Director of Business Development. 

Responsibilities:

This is a summary of activities and is not intended to be all-inclusive of all responsibilities.

·     Develop, own, and execute a formal business plan aligned with company objectives

·     Develop, maintain, and track product backlog and bid activity

·     Establish revenue goal KPIs and deliver results

·     Manage strategic relationships to maximize revenue performance

·     Create and manage key account plans, including defined goals, activities, and timelines

·     Communicating regular updates of key performance indicators, including volume, revenue, and strategic initiatives

·     Identify, secure, grow, and manage key licensing opportunities across multiple industries

·     Research, analyze, and implement key market trends within low-embodied carbon building materials

·     Monitor and maintain competitive intelligence, including competitor products, pricing strategies, and development activities

·     Regularly review the sales cycle and implement continuous improvement strategies

·     Travel up to 40% as required

Qualifications:

Use your existing network or develop a robust network of key stakeholders to increase market awareness, market share, and success of the formal business plan.

·     Bachelor’s degree in Business or a related field, or equivalent experience

·     Minimum of 5 years of experience in sales, marketing, or product management

·     Experience within the building materials industry preferred (e.g., sand and gravel, cement, ready mix, or admixtures)

·     Proven experience collaborating with industry experts (Architects and Engineers)

·     Working knowledge of key high-level industry standards relating to cement, concrete, and aggregates

·     Demonstrated experience developing, managing, and executing sales strategies to drive revenue growth

·     Strong understanding of business-to-business sales cycles, sales strategies, and key performance metrics

·     Experience building, leading, and managing multi-dimensional sales team

·     Proficiency with Customer Relationship Management (CRM) software and sales reporting

·     Solid financial and business acumen, including budgeting, forecasting, and pricing strategies

·     Strong negotiation, presentation, and facilitation skills

·     Knowledge or experience with sustainability initiatives, LEED certification, and carbon reduction targets

Please send resume and cover letter to

Job Description

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

The Boeing Company is currently seeking a Software Engineer–DevSecOps (Senior or Lead) to support our E7A Software Development Environments team located in Tukwila, Washington.

This team is responsible for building and maintaining multiple secure development environments that enable continuous integration and secure software development for the US Air force E-7A Rapid Prototype Program. This position will focus on developing and maintaining RKE2 and EKS backed software development tools supporting Maven Gradle and Python development pipelines in both AWS and onsite disconnected environments.

Position Responsibilities:

• Lead the design, development, testing and verification of E-7A software engineering tools

• Develop and enhance our DevSecOps operations across multiple environments

• Collaborate with cross-functional teams to integrate and implement solutions for software development

• Provide end user support and troubleshooting to software development teams using program defined pipeline configurations and development environments

• Monitor and maintain software development environments and tools

• Participate in peer reviews and provide technical leadership to junior engineers

• Utilize analytical problem-solving skills to resolve issues and improve processes and tools

Our team is currently hiring for a broad range of experience levels including: Senior and Lead Engineers.

This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options.

Security Clearance and Export Control Requirements:

This position requires an active Secret U.S. Security Clearance. (A U.S. Security Clearance that has been active in the past 24 months is considered active.)

Basic Qualifications (Required Skills/ Experience):

• 3+ years of experience administering Linux systems

• 3+ years of experience administering Kubernetes EKS or RKE2 deployments

• 3+ years of experience with AWS cloud development and containerization

• Programming or scripting experience in Java or C++ and Python

Preferred Qualifications (Desired Skills/Experience):

• Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science

• Ability to set up, and manage a toolchain that uses GitLab, GitLab-CI, Gradle, Maven, Nexus/Artifactory, SonarQube, Prometheus, FluentBit, CloudWatch, Helm, Terraform, Ansible, OpenShift, Docker and more

• AWS Certification is preferred

• Containerization knowledge including Docker, Kubernetes, Helm, Rancher, Istio, Big Bang

• Understanding of designing and implementing full stack/Microservice infrastructure

• Understanding of secure software development methodologies and Security First mindset

• Understanding of cloud architecture and design methodologies

• Strong Working knowledge of the CI/CD process including debugging, test, and integration of software tools

• Knowledge of general software development and testing tools, including compilers, linkers, debuggers, and requirements management tools

• Experience with Confluence, Jira

Drug Free Workplace:

Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.

Union:

This is a union-represented position.

CodeVue Coding Challenge: 

To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration.

Pay & Benefits:

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent.  Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. 

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. 

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications, as well as market and business considerations. 

Summary pay range for Senior Level: $130,900 - $177,100.

Summary pay range for Lead Level: $161,500 - $218,500.

Applications for this position will be accepted until Mar. 30, 2026

Export Control Requirements:

This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.62 is required. “U.S. Person” includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.

Export Control Details:

US based job, US Person required

Relocation

This position offers relocation based on candidate eligibility.

Security Clearance

This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active)

Visa Sponsorship

Employer will not sponsor applicants for employment visa status.

Shift

This position is for 1st shift

Equal Opportunity Employer:

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

We're Hiring: Director of IT Architecture (Remote, with onsite meetings as needed)

We are seeking a Director of IT Architecture | Enterprise Architecture | Cloud & Systems Leader to lead and shape the IT architecture strategy for a growing healthcare organization. This is a unique opportunity to design and implement technology solutions that support business goals, regulatory compliance, and modern healthcare delivery.

Key Responsibilities:

• Define and execute a comprehensive IT architecture strategy aligned with clinical, operational, and business objectives.
• Lead and manage a team of network, cloud, and systems architects, fostering collaboration and high performance.
• Oversee network, cloud, and systems architecture initiatives, ensuring security, scalability, and interoperability.
• Evaluate, test, and implement modern platform visibility solutions (DataDog, Dynatrace, New Relic, Prometheus / Grafana).
• Collaborate with IT leadership, business stakeholders, vendors, and cloud providers to optimize technology investments.
• Establish IT governance, standards, and best practices to ensure compliance with industry regulations (HIPAA, HITECH, HITRUST).
• Monitor performance, risks, and cost optimization across all IT architecture initiatives.

Required Qualifications:

• Bachelor’s degree in Computer Science, IT, Healthcare Informatics, or related field.
• 10+ years of progressive experience in IT architecture, including at least 5 years in a leadership role managing network, cloud, and systems architecture teams, preferably in healthcare.
• Hands-on experience with cloud platforms (AWS, Azure) and hybrid environments.
• Demonstrated history of assessing, testing, and implementing modern platform visibility solutions (DataDog, Dynatrace, New Relic, Prometheus / Grafana).
• Strong expertise in network architecture (SD-WAN, VPNs, firewalls, healthcare data exchange networks).
• Deep knowledge of systems architecture, including server infrastructure, virtualization, storage, disaster recovery, and healthcare IT standards (HL7, FHIR, DICOM).
• Strong leadership, communication, and stakeholder management skills.
• Strategic thinker with strong problem-solving and analytical abilities.

Preferred Qualifications:

• Master’s degree in a related field.
• Relevant cloud certifications (AWS Solutions Architect Professional, AWS Security Specialty, Microsoft Azure Solutions Architect).
• Security and architecture certifications such as CISSP, CCNP, HITRUST, or FinOps.

This is a remote role with the flexibility to work from home, while requiring occasional onsite meetings for leadership collaboration and strategic planning.

If you are a visionary IT leader with a strong healthcare background, experience leading cloud, network, and systems architecture teams, and a passion for building scalable, secure IT platforms, we want to hear from you!

Lead Enterprise Tooling Engineer — Tenant Inc.

Overview

Tenant Inc. is modernizing its enterprise tooling, automation, and visibility ecosystem to better support our engineering, operations, finance, sales, and customer support teams. The Lead Enterprise Tooling Engineer plays a critical role in this transformation by owning the strategy, architecture, and execution of integrations across Jira, Microsoft 365, HubSpot, Zendesk, Intuit Enterprise, ERP systems, and internal platforms. This role ensures that our business systems work together seamlessly, data flows reliably across the organization, and leaders have a unified view of operational performance.

By connecting enterprise tools with application telemetry and APM insights, this position enables a single source of truth for workflow health, customer impact, and cross-system reliability. The ideal candidate blends technical expertise with business acumen, ensuring that tooling investments directly support Tenant’s operational goals and modernization roadmap.

Key Responsibilities

Enterprise Tooling Architecture & Integration

• Design and maintain the integrations that connect our core business systems, ensuring information flows consistently across Jira, Microsoft 365, HubSpot, Zendesk, Intuit Enterprise, ERP platforms, and internal applications.

• Build automated workflows and API-driven processes that reduce manual effort, eliminate redundant work, and improve data accuracy.

• Lead the unification of identity, permissions, and user lifecycle management across enterprise tools to support operational efficiency and compliance.

• Oversee cross-platform data synchronization for contacts, leases, tickets, financial data, and operational workflows to ensure a consistent and reliable customer and business experience.

APM, Observability & Unified Visibility

• Integrate observability and APM platforms (OpenSearch, Prometheus, Grafana, New Relic, Catchpoint, CloudWatch, clickstream analytics) with enterprise systems to provide end-to-end visibility across the business.

• Connect system telemetry with business workflows—linking application performance to Jira issues, Zendesk tickets, HubSpot activities, and ERP events.

• Develop executive-ready dashboards that consolidate operational KPIs, workflow performance, integration health, and customer impact into a single pane of glass.

• Implement alerting and automated correlation to help teams identify issues faster and understand their business implications.

• Partner with DevOps and SRE to ensure observability data is actionable and accessible across the organization.

Workflow Automation & Process Optimization

• Design automated workflows that streamline processes across engineering, support, sales, finance, and operations.

• Build Jira workflows, dashboards, and governance structures that support predictable releases and cross-team alignment.

• Automate HubSpot → Jira → Zendesk → ERP workflows to reduce handoffs, shorten cycle times, and improve customer responsiveness.

• Partner with Finance to automate Intuit Enterprise and ERP processes such as invoicing, reconciliation, and reporting.

API Engineering & Custom Development

• Develop and maintain custom integrations, middleware, and internal tools that improve operational efficiency and reduce manual work.

• Implement reliable error handling, monitoring, and logging to ensure integrations remain stable and transparent.

• Ensure all integrations meet security, scalability, and compliance requirements.

Data Quality, Governance & Observability

• Establish data governance standards that ensure accuracy, consistency, and auditability across enterprise tools.

• Implement monitoring and alerting for integration health and workflow performance.

• Partner with Security and Compliance to maintain SOC2, PCI, and internal governance standards.

Cross-Functional Leadership & Collaboration

• Serve as the strategic and technical leader for enterprise tooling, automation, and observability initiatives.

• Partner with Engineering, Product, Support, Sales, Finance, and Operations to understand business needs and translate them into scalable solutions.

• Mentor engineers and administrators across Jira, HubSpot, Zendesk, and Microsoft 365.

• Promote best practices for automation, documentation, and cross-system reliability.

Operational Excellence

• Lead root cause analysis for integration and workflow issues, ensuring long-term solutions rather than short-term fixes.

• Reduce manual effort across departments through automation and improved tooling.

• Maintain clear documentation for integrations, workflows, and system dependencies.

• Evaluate new tools, vendors, and opportunities to improve operational efficiency and business outcomes.

Required Qualifications

• 7+ years in enterprise tooling, business systems engineering, DevOps, or integration engineering.

• Deep experience with APIs for Jira, Microsoft 365, PowerBI, HubSpot, Zendesk, and similar SaaS platforms.

• Hands-on experience with observability and APM platforms (OpenSearch, Prometheus, Grafana, New Relic, Catchpoint, CloudWatch, clickstream analytics).

• Strong scripting and automation skills (Python, Node.js, PowerShell).

• Experience designing workflow automation across multiple business systems.

• Strong understanding of identity management, SSO, and permission models.

• Experience with data governance, monitoring, and integration reliability.

• Proven ability to lead cross-functional initiatives and collaborate with business stakeholders.

Preferred Qualifications

• Experience with Intuit Enterprise, ERP systems, or financial system integrations.

• Background in multi-tenant SaaS environments.

• Experience improving customer experience through event-driven architectures (webhooks, queues, EventBridge, SNS/SQS).

• Familiarity with ETL pipelines, data warehousing, and analytics platforms.

• Experience supporting engineering release workflows and IT DevOps processes.

Success Indicators at Tenant Inc.

• A unified, executive-ready view of operational performance that connects APM telemetry, enterprise workflows, and business outcomes.

• Automated, reliable workflows across Jira, HubSpot, Zendesk, Microsoft 365, and ERP systems.

• Significant reduction in manual work across engineering, support, sales, and finance.

• Clean, consistent, and governed data across enterprise tools.

• Reliable integrations with clear dashboards, alerting, and business impact visibility.

• Strong cross-team alignment and measurable improvements in operational efficiency.

• A scalable, well-documented tooling architecture that supports Tenant’s modernization strategy.

#EnterpriseEngineering #BusinessSystems #ToolingEngineering #AutomationEngineering

#SystemsIntegration #APM #Observability

*At Securian Financial the internal position title is Infrastructure Dir."

Mission

"To lead the engineering discipline that ensures Securian's technology platforms and cloud services are built and operated with uncompromising resilience, performance, and quality. This role drives the design and automation of fault-tolerant, high-availability architectures across AWS, Azure, and GCP-ensuring the enterprise meets resiliency, scalability, and efficiency expectations at every layer of technology."

Positioning

The Director of Resilience Engineering and Quality Leader is both a strategic peer and technical counterpart to the Infrastructure & Reliability Engineering Leader.

This role provides bench depth and succession coverage for REO's most technically complex domains while driving innovation in reliability, resilience, and performance practices.

• Strategic influence: Shapes cloud reliability, quality engineering, and resilience strategy across REO and Architecture domains.

• Operational authority: Leads Sr. Managers and Managers who own the execution of quality, resilience, and performance engineering capabilities.

• Enterprise collaboration: Works hand-in-hand with Technology, Solution, Business, Data, and Enterprise Architects to embed reliability and resilience as core architecture principles.

Scope of Accountability

Resilience Engineering & Cloud Reliability

• Architect and validate fault-tolerant, regionally resilient architectures across AWS, Azure, and GCP.

• Own resilience automation, chaos testing, and IaC-based recovery validation.

• Lead cross-cloud reliability design reviews and failure-mode analyses for critical systems.

Quality Engineering & Continuous Testing

• Define enterprise-wide quality engineering strategy integrated into CI/CD pipelines.

• Drive automation-first testing (functional, non-functional, performance, resilience).

• Embed observability-driven quality validation and contract testing across services.

Performance, Capacity & Efficiency Engineering

• Oversee predictive capacity planning, scaling automation, and cost/efficiency optimization (FinOps/GreenOps).

• Partner with Platform & Infrastructure teams to tune performance across application and platform layers.

• Measure and report on performance SLIs/SLAs aligned to REO's Reliability Metrics framework.

Cross-Domain Architecture Collaboration

• Partner with Enterprise Architects to codify resilience and reliability standards in technology blueprints.

• Collaborate with Technology & Solution Architects to design service reliability into delivery architectures.

• Engage Data Architects for data resilience, replication, and pipeline reliability.

• Work with Business Architects to align technical reliability goals with critical business outcomes.

Leadership & Talent Development

• Lead a team of Sr. Managers and Managers, fostering a high-performance, hands-on engineering culture.

• Build and mentor top-tier technical talent in cloud reliability, resilience, and quality automation.

• Partner with HR and REO Enablement to develop succession plans and technical competency frameworks.

Core Technical Competencies

• AWS (primary) - Multi-account design, HA architecture, region failover, resilience automation, Terraform/CDK/CloudFormation.

• Azure & GCP (secondary) - Compute, networking, and reliability constructs; hybrid cloud design and failover integration.

• Infrastructure as Code (IaC) - Deep proficiency in Terraform, policy-as-code (OPA/Conftest), drift detection, pipeline integration.

• Reliability & Chaos Engineering - AWS Fault Injection Simulator, Gremlin, steady-state hypothesis design.

• Observability & Quality Automation - OpenTelemetry, Prometheus, CloudWatch, K6, Gatling; CI/CD quality gates and dashboards.

• Performance Engineering - Load, stress, and soak testing automation; performance profiling and SLO alignment.

• Disaster Recovery Automation - Cross-region orchestration, IaC-driven DR runs, replication validation.

• FinOps/GreenOps - Cloud cost and efficiency automation, carbon-aware scaling policies.

Leadership Competencies

• Strategic Technical Leadership: Operates at the intersection of deep engineering and executive strategy.

• Multi-Domain Collaborator: Integrates reliability and resilience across architecture, operations, and business domains.

• Talent Multiplier: Develops and empowers senior managers, fostering engineering mastery and innovation.

• Credible Technical Authority: Trusted peer to Infrastructure & Reliability Engineering; capable of leading architecture reviews and executive briefings.

• Change Champion: Drives transformation of reliability practices across platforms, pipelines, and teams.

Qualifications & Experience

• 12+ years in cloud engineering, reliability, or platform leadership roles.

• 5+ years leading Sr. Managers/Managers in technical domains.

• Proven expertise across AWS, with working knowledge of Azure and GCP.

• Experience with multi-cloud governance, DR design, IaC at scale, and reliability automation.

• Strong understanding of observability, SRE principles, and REO/ITIL-aligned reliability frameworks.

• Certifications:

  • Required: AWS Certified Solutions Architect - Professional

  • Preferred: AWS DevOps Engineer, Azure Solutions Architect Expert, Google Professional Cloud Architect

Success Metrics

• 99.9% availability maintained for Tier-1 workloads.

• 100% coverage of DR automation for Tier-1 services.

• 25% annual increase in automated quality/test coverage.

• 15% annual improvement in resource efficiency and cost performance.

• Documented resilience participation across all enterprise architecture blueprints.

• Positive "technical peer readiness" and succession rating from Head of REO.

Summary Value Proposition

This Director role blends deep AWS reliability engineering expertise, multi-cloud technical breadth, and leadership scale.

It ensures REO maintains both technical depth and leadership redundancy, and it strengthens the bridge between engineering execution and enterprise architecture alignment.

#LI-hybrid **This position will be in a hybrid working arrangement.**

Securian Financial believes in hybrid work as an integral part of our culture. Associates get the benefit of working both virtually and in our offices. If you're in a commutable distance (90 minutes), you'll join us 3 days each week in our offices to collaborate and build relationships. Our policy allows flexibility for the reality of business and personal schedules.

The estimated base pay range for this job is:

Pay may vary depending on job-related factors and individual experience, skills, knowledge, etc. More information on base pay and incentive pay (if applicable) can be discussed with a member of the Securian Financial Talent Acquisition team.

Be you. With us. At Securian Financial, we understand that attracting top talent means offering more than just a job - it means providing a rewarding and fulfilling career. As a valued member of our high-performing team, we want you to connect with your work, your relationships and your community. Enjoy our comprehensive range of benefits designed to enhance your professional growth, well-being and work-life balance, including the advantages listed here:

Paid time off:

• We want you to take time off for what matters most to you. Our PTO program provides flexibility for associates to take meaningful time away from work to relax, recharge and spend time doing what's important to them. And Securian Financial rewards associates for their service by providing additional PTO the longer you stay at Securian.

• Leave programs: Securian's flexible leave programs allow time off from work for parental leave, caregiver leave for family members, bereavement and military leave.

• Holidays: Securian provides nine company paid holidays.

Company-funded pension plan and a 401(k) retirement plan: Share in the success of our company. Securian's 401(k) company contribution is tied to our performance up to 10 percent of eligible earnings, with a target of 5 percent. The amount is based on company results compared to goals related to earnings, sales and service.

Health insurance: From the first day of employment, associates and their eligible family members - including spouses, domestic partners and children - are eligible for medical, dental and vision coverage.

Volunteer time: We know the importance of community. Through company-sponsored events, volunteer paid time off, a dollar-for-dollar matching gift program and more, we encourage you to support organizations important to you.

Associate Resource Groups: Build connections, be yourself and develop meaningful relationships at work through associate-led ARGs. Dedicated groups focus on a variety of interests and affinities, including:

• Mental Wellness and Disability

• Pride at Securian Financial

• Securian Young Professionals Network

• Securian Multicultural Network

• Securian Women and Allies Network

• Servicemember Associate Resource Group

For more information regarding Securian's benefits, please review our Benefits page.

This information is not intended to explain all the provisions of coverage available under these plans. In all cases, the plan document dictates coverage and provisions.

Securian Financial Group, Inc. does not discriminate based on race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, marital or familial status, pregnancy, disability, genetic information, political affiliation, veteran status, status in regard to public assistance or any other protected status. If you are a job seeker with a disability and require an accommodation to apply for one of our jobs, please contact us by email at , by telephone (voice), or 711 (Relay/TTY).

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By clicking the "Apply" button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda's Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.

Job Description

At Takeda, we are a forward-looking, world-class R&D organization that unlocks innovation and delivers transformative therapies to patients. By focusing R&D efforts on three therapeutic areas and other targeted investments, we push the boundaries of what is possible to bring life-changing therapies to patients worldwide.

The AI/ML organization at Takeda is building a team to transform how medicines are discovered. Our goal is to apply AI and machine learning across the entire drug discovery process, not just isolated steps, but as an integrated approach from target identification through development. This requires discernment: knowing which models and methods fit each problem, and the creativity to adapt when they don't. We work with foundational models, generative approaches, and autonomous systems, but the tools only matter when paired with people who understand the science deeply enough to use them well. Our team brings together computational scientists, biologists, engineers, and drug hunters. If you want to contribute your expertise to hard problems alongside colleagues with different perspectives, and help shape how AI delivers real impact in drug discovery, we'd like to hear from you

We are seeking a Senior Scientist to lead the design and implementation of AI orchestration systems within the AI/ML Foundation team. This role combines expertise in agentic AI systems, data engineering, and software architecture to build the infrastructure that enables seamless coordination of AI capabilities across Computational Sciences and Global Research. You will be responsible for creating intelligent orchestration layers that connect diverse AI models, data pipelines, and computational resources to accelerate drug discovery across all therapeutic modalities. The ideal candidate brings strong engineering fundamentals with experience in distributed systems and a passion for building scalable AI platforms.

Accountabilities:

• Design and implement AI orchestration frameworks that integrate agentic systems, data pipelines, and model serving infrastructure to enable coordinated multi-model workflows.
• Build scalable orchestration layers connecting predictive models, generative models, and foundation models with experimental data sources for end-to-end workflow automation.
• Develop data engineering solutions including data ingestion pipelines, transformation workflows, feature stores, and model serving infrastructure supporting discovery across modalities.
• Create intelligent orchestration systems that coordinate agentic AI components for autonomous task decomposition, tool selection, and execution across scientific domains.
• Establish monitoring, observability, and governance frameworks ensuring reliability, reproducibility, and transparent decision-making across AI systems.
• Partner with computational scientists, data engineers, and research teams to ensure orchestration infrastructure meets the needs of diverse discovery workflows.
• Stay current with advances in agentic AI, workflow orchestration, and distributed systems; evaluate and integrate emerging technologies.

Education & Requirements:

• PhD in Computer Science, Data Engineering, Computational Science, or related field with 2+ years relevant experience, OR MS with 6+ years relevant experience.
• Strong software engineering skills with proficiency in Python and experience with distributed systems and cloud infrastructure (AWS, GCP).
• Experience with workflow orchestration frameworks (Airflow, Prefect, Dagster, or similar) and data pipeline development.
• Familiarity with agentic AI frameworks (LangChain, AutoGen, or similar) and LLM integration patterns.
• Experience with containerization (Docker, Kubernetes) and microservices architecture.
• Strong problem-solving skills and ability to work across teams in a fast-paced R&D environment.

Preferred:

• Experience building AI/ML platforms or infrastructure in pharmaceutical or life sciences settings.
• Familiarity with scientific computing workflows and computational chemistry/biology tools.
• Experience with model serving frameworks (TorchServe, Triton, BentoML) and feature stores.
• Knowledge of monitoring and observability tools (Prometheus, Grafana, MLflow).
• Experience with event-driven architectures

Additional Competencies Common in Strong Candidates

• Ability to lead cross-functional initiatives and mentor junior scientists.
• Experience in translating computational insights into experimental strategies.
• Strong publication record or demonstrated thought leadership in AI for biology and molecular design.
• Comfort working in fast-paced, innovation-driven environments with evolving priorities.

ADDITIONAL INFORMATION

• The position will be based in Cambridge, MA

Takeda Compensation and Benefits Summary

We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices.

For Location:

U.S. Base Salary Range:

U.S. based employees may be eligible for short-term and/ or long-term incentives. U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation.

EEO Statement

Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.

Locations

Worker Type

Worker Sub-Type

Time Type

Job Exempt

**This position supports hybrid work schedule depending on organization needs.**

RESPONSIBILITIES:

• Architect, design, and maintain scalable CI/CD pipelines using Azure/AWS DevSecOps.

• Build and optimize Docker-based microservices, images, and deployment pipelines.

• Lead deployments across Docker Swarm, Kubernetes/EKS, and multi-location environments.

• Develop infrastructure automation using Ansible, bash scripting, Terraform and Git-based workflow.

• Manage release pipelines using container registries, artifact feeds, template pipelines, and multi-stage workflows.

• Design multi-environment strategies for dev, QA, staging, and production deployment.

• Implement cloud-native services with AWS & Azure cloud platforms.

• Implement basic security practices, including IAM roles, secrets management, and access controls.

• Develop secure, modular, reusable build and release systems.

• Work closely with full-stack engineering teams (Angular, Java, Python , backend APIs, database engineers).

• Mentor junior DevOps engineers and lead DevOps roadmap decisions.

KNOWLEDGE REQUIREMENTS:

DevOps Expertise :

Azure DevOps pipelines, YAML templating, CI/CD strategy, Git branching models.

Containerization & Orchestration :

Docker images, Docker Compose, Docker Swarm, multi-node/multi-location deployments.

Cloud Technologies :

Azure deployments & infrastructure, AWS (IAM, Lambda, S3, CloudWatch).

Programming / Scripting Languages :

Python, Bash, Linux/Unix administration, awk, shell automation, groovy.

Infrastructure Automation :

Ansible playbooks, tasks/roles, inventory design, configuration management.

Distributed Deployment Architecture :

Multi-site replication, node selection by IP, dynamic service routing.

Database Stack Experience :

PostgreSQL, MySQL, MariaDB operations & migrations.

Observability & Logging :

CloudWatch monitoring, log collection, Prometheus, Grafana, reporting & metrics.

Version Control & Build Systems :

Azure Devops, Git, Git submodules, artifact storage, registry solutions, Secrets Management.

Nice to have AI knowledge/experience and willingness to learn.

EDUCATION & EXPERIENCE REQUIREMENTS

• BS degree in Electrical/Computer Engineering, Computer Science or related field. MS preferred.
• 7+ years experience in a software devops/development/test capacity with enterprise server, storage or networking products.

Build and scale enterprise Kafka infrastructure using Confluent Cloud and Platform across hybrid environments. Design event-driven architectures, automate deployments with Terraform/CI/CD, optimize performance, ensure security compliance, and troubleshoot distributed streaming systems at scale.

Must Have:

• 5+ years Kafka (2+ years Confluent Cloud/Platform, Kafka Connect, Schema Registry, ksqlDB)
• Expertise in hybrid cloud Kafka deployments (AWS/Azure/GCP + on-prem)
• Strong automation (Terraform, Ansible, Jenkins) and programming (Java, Python, Scala)
• Experience with monitoring/troubleshooting distributed systems (Splunk, Datadog, Prometheus)
• Security expertise (Kerberos, SSL, RBAC) and compliance knowledge (GDPR, SOC, PCI)

You'll Build: Scalable Kafka clusters • Event-driven architectures • Automated CI/CD pipelines • Observability frameworks • Secure, compliant streaming platforms.

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  Design, implement, and manage cloud infrastructure on Azure using Terraform and Terragrunt.
  
  
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  Maintain and optimize Kubernetes clusters on Azure Kubernetes Service (AKS).
  
  
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  Build and manage CI/CD pipelines using GitHub Actions/Workflows and ArgoCD for GitOps deployments.
  
  
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  Enhance system reliability by implementing monitoring, alerting, and observability solutions with Grafana.
  
  
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  Automate operational tasks to reduce toil and improve team efficiency.
  
  
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  Participate in on-call rotations, incident response, and post-mortem analysis.
  
  
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  Collaborate with development teams to improve application performance, scalability, and resilience.
  
  
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  Implement and advocate for SRE best practices, including SLIs, SLOs, and error budgets.
  
  
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  Continuously improve system performance, cost efficiency, and security.
  
  

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  3+ years of experience in an SRE, DevOps, or cloud infrastructure role.
  
  
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  Strong experience with Azure cloud services and infrastructure.
  
  
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  Hands-on experience with java and Terraform and Terragrunt for infrastructure-as-code.
  
  
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  Proficiency with Kubernetes (preferably AKS and container orchestration.
  
  
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  Experience with CI/CD tools, especially GitHub Workflows/Actions and ArgoCD.
  
  
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  Solid understanding of observability tools like Grafana (Prometheus, Loki, Tempo experience is a plus).
  
  Education Requirements Bachelor's degree required, (Masters preferred)
  
  

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

We're seeking an exceptional Staff Software Engineer to join our Observability team at Pinterest. This role combines deep technical expertise in distributed systems and data engineering with a product-oriented mindset to build world-class observability solutions that empower our engineering organization.As a Staff Engineer on the Observability team, you'll be responsible for designing and building the infrastructure and tools that provide visibility into Pinterest's large-scale distributed systems, helping thousands of engineers understand, debug, and optimize their services.

What you'll do:

• 
  
• Define and execute the observability roadmap, treating it as a product. Understand engineering team needs and translate them into technical solutions with measurable impact.
  
• Architect, build, and scale distributed observability infrastructure (metrics, logs, traces) to handle massive volumes across Pinterest's distributed systems.
  
• Build high-performance data pipelines and storage for real-time and historical telemetry analysis at Pinterest scale.
  
• Champion Best Practices: Establish observability standards and patterns across the organization, making it easy for teams to instrument their services and gain actionable insights
  
• Technical Leadership: Mentor engineers, lead architectural reviews, and influence technical decisions across teams to improve overall system reliability and performance
  
• Cross-functional Collaboration: Partner with SRE, Infrastructure, Product Engineering, and other teams to understand pain points and deliver solutions that improve developer productivity and system reliability
  
• Innovation: Stay current with observability trends and technologies, evaluating and adopting cutting-edge tools and techniques to keep Pinterest at the forefront
  

What we're looking for:

• 
  
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.
  
• Product Mindset: Demonstrated ability to work backwards from customer needs -understanding user needs, prioritizing features, measuring success, and iterating based on feedback. Experience building internal platforms or tools with strong adoption
  
• Distributed Systems Expertise: 7+ years of experience designing and operating large-scale distributed systems with deep understanding of consistency, availability, scalability, and failure modes
  
• Data Engineering Skills: Strong background in building data pipelines, working with time-series databases, columnar storage, stream processing (Kafka, Flink, etc.), and data modeling at scale
  
• Observability Domain Knowledge: Hands-on experience with modern observability tools and practices including metrics, logging, tracing, and profiling. Familiarity with OpenTelemetry, Prometheus, Grafana, or similar technologies
  
• Programming Proficiency: Expert-level coding skills in languages like Java, Python, Go, or Scala with ability to write production-quality code
  
• Systems Thinking: Ability to see the big picture while managing complex technical details, balancing trade-offs between cost, performance, and reliability
  
• Experience building observability platforms from the ground up or significantly scaling existing solutions
  
• Familiarity with cloud-native architectures and technologies (Kubernetes, service mesh, etc.)
  
• Track record of driving adoption of internal platforms through excellent documentation, UX, and developer advocacy
  
• Experience with machine learning or anomaly detection applied to observability use cases
  
• Strong communication skills with ability to influence stakeholders at all levels
  
• Contributions to open-source observability projects, a plus
  

In-Office Requirement Statement:

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• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
  

Relocation Statement:

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• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-REMOTE

#LI-JT1

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

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.

The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S. and has supported over 20,000 healthcare professionals and team members with close to 1,500 health and wellness offices across 48 states in four distinct categories: dental care, urgent care, medical aesthetics, and animal health. Working in partnership with independent practice owners and clinicians, the team is united by a single purpose: to prove that healthcare can be better and smarter for everyone. TAG provides a comprehensive suite of centralized business support services that power the impact of five consumer-facing businesses: Aspen Dental, ClearChoice Dental Implant Centers, WellNow Urgent Care, Chapter Aesthetic Studio, and Lovet Pet Health Care. Each brand has access to a deep community of experts, tools and resources to grow their practices, and an unwavering commitment to delivering high-quality consumer healthcare experiences at scale.

As a Senior Site Reliability Engineer (SRE) at TAG – The Aspen Group, you will be responsible for ensuring the reliability, performance, and scalability of our core systems. This role involves proactively building and managing, monitoring solutions, lead incident response, and continuously optimizing system performance to exceed business objectives. We are actively integrating AI and machine learning into our operational workflows, and you will be on the front lines, leveraging intelligent automation and machine learning to build a proactive resilient infrastructure. This is an opportunity to go beyond SRE by applying cutting-edge technology to solve complex reliability challenges.

Responsibilities:

Intelligent Site Reliability Engineering:

• Design and build highly scalable and resilient systems to support our applications and services, incorporating predictive analytics to anticipate reliability risks.
• Develop and manage Service Level Objectives (SLOs) and Service Level Indicators (SLIs) using machine learning anomaly detection to ensure systems meet reliability targets.
• Drive improvements in system reliability, availability, and performance through proactive measures, automation, and intelligent failure prediction.

Advanced Observability:

• Implement and manage comprehensive monitoring and alerting solutions, integrating with intelligent observability platforms that reduce alert noise and correlate events.
• Develop and maintain dashboards and reporting tools that provide data-driven insights for actionable troubleshooting recommendations and performance optimization.
• Evaluate and integrate advanced monitoring tools and operational intelligence platforms to enhance observability and root cause identification.

Proactive Incident Management:

• Lead and participate in incident response efforts, using intelligent log analysis and automated event correlation to speed up troubleshooting and root cause identification.
• Develop and maintain incident management processes incorporating automated decision support systems to improve response times and minimize service disruptions.
• Conduct post-incident reviews, using automated pattern recognition and trend analysis to identify systemic issues and implement preventive measures.

Performance and Capacity Optimization:

• Analyze performance metrics and logs, supported by advanced observability tools, to detect bottlenecks and inefficiencies.
• Collaborate with development teams to implement automated profiling and optimization recommendations for code and infrastructure improvements.
• Perform capacity planning using machine learning forecasting models to ensure systems can handle current and future loads.

Automation and Process Improvement:

• Develop and implement automation solutions, including intelligent runbook automation, self-healing systems, and automated incident triage.
• Identify and drive process improvements by applying machine learning to operational data for continuous optimization.
• Maintain documentation that includes automation and machine learning guidelines for monitoring, incident management, and SRE best practices.

Collaboration and Communication:

• Work closely with engineering, operations, and product teams to align reliability and monitoring goals, including automation adoption strategies.
• Communicate effectively with stakeholders, providing regular updates on system health, incidents, performance improvements, and data-driven insights.
• Foster a culture of collaboration, knowledge sharing, and automation best practices within the team and across the organization.

Requirements:

• Bachelor's degree in computer science or a related technical field.
• At least 5 years of experience in Site Reliability Engineering or a similar role.
• Strong proficiency in at least one programming language such as Python, Go, or C#
• Demonstrated experience applying machine learning and automation to operational workflows such as monitoring, alerting and incident response.
• Expertise with infrastructure as code tools such as Terraform
• Proven experience working and monitoring container environments such as Cloud Run and Kubernetes.
• Hands-on experience using and working within an Azure, AWS, and GCP environment (GCP preferred)
• Strong understanding of networking, distributed systems, and cloud infrastructure.
• Familiarity with intelligent monitoring platforms and operational analytics tools such as Prometheus, Grafana, OpenSearch, Sentry, Google Cloud Observability
• Excellent problem-solving skills and the ability to work independently and as part of a team.
• Experience with incident management, root cause analysis, and automated operational workflows.

Annual pay range: $129,000-$160,000

A generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match