585 jobs found

Genworth is seeking a Senior Manager, Datacenter to lead secure, highly available infrastructure supporting critical financial and insurance systems. In this role, you will oversee day-to-day datacenter operations, capacity planning, vendor management, and disaster recovery across on-premises and hybrid environments. You will drive modernization, automation, and cost optimization while ensuring compliance with financial-services regulations. Collaborating with technology, security, and business stakeholders, you will guide a high-performing team, champion operational excellence, and help safeguard Genworth customers' long-term financial security. Responsibilities Lead day-to-day operations of Genworth's datacenters supporting core financial and insurance systems Ensure high availability, performance, and capacity planning for on-prem and hybrid environments Oversee datacenter security, compliance, and risk management for regulated financial data Manage vendor relationships and service contracts for hardware, colocation, and network services Drive infrastructure modernization, automation, and cloud integration initiatives Develop and manage budgets, forecasts, and cost optimization plans for datacenter services Establish and monitor SLAs, KPIs, and incident/problem management processes Lead and mentor a technical operations team, fostering collaboration and continuous improvement Partner with security, application, and architecture teams on resilience and disaster recovery Ensure adherence to industry and regulatory standards (e.g., SOC, PCI, ISO) as applicable Required Skills Datacenter operations management IT infrastructure (servers, storage, networking) Hybrid/on-prem and cloud integration Disaster recovery and business continuity IT security and compliance in financial services Capacity planning and performance tuning Vendor and contract management IT service management (ITIL, incident/change/problem) Automation and scripting for operations Budgeting and cost optimization

Lead strategy, modernization, delivery and operational performance for technology supporting actuarial modeling, enterprise data and analytics. Partner with actuarial, data and insurance leaders to deliver scalable, secure and compliant platforms, data products and applications while managing portfolio performance, resilience, controls, financials and workforce strategy. Responsibilities Define and execute a multi-year data and actuarial technology strategy, architecture, roadmap and investment plan. Advance governed data platforms and products, data quality, lineage, reusable assets and self-service analytics. Lead engineering, integration, business intelligence, actuarial applications and cloud capabilities. Ensure stability, resilience, controls and operational support for critical actuarial and regulatory processes. Partner with business leaders to translate priorities into technology roadmaps and measurable value. Manage portfolio performance, modernization, financials and workforce strategy. Required Skills Data platform strategy Actuarial technology Enterprise architecture Cloud adoption Data governance Data engineering Business intelligence Systems integration Application modernization Production operations

Job Description Job Description Senior Cloud Security Specialist Washington, DC - 100% Onsite Per Federal contract U.S. citizenship is required Must be able to obtain Public Trust clearance W2 or C2C Application Deadline: Sept 15th We are seeking a Senior Cloud Security Specialist to support the Security Engineering team within the IT division at the Board of Governors of the Federal Reserve. This team is responsible for the strategy, design, deployment, and maintenance of effective security solutions in cloud, local, and hybrid environments. REQUIREMENTS: The candidate shall also demonstrate the knowledge and experience below: • Required Experience: o Minimum 5 years hands-on AWS security experience • Personnel Qualifications o AWS Certified Security - Specialty (strongly preferred) o AWS Certified Solutions Architect - Professional or Associate • Demonstrated experience implementing secure, scalable AWS cloud architectures following industry best security practices and security frameworks. • Demonstrated federal experience and comprehensive knowledge in adopting and implementing federal cybersecurity requirements, including but not limited to the NIST Cybersecurity Framework, OMB Memorandum M-22-09, NIST SP 800-53 • Possess deep analytical, problem-solving, and troubleshooting experience, to • independently resolve complex security challenges. • Proven ability to provide technical security consultation and advisory services with a proactive approach to identifying potential issues, raising questions, and engaging in open dialogue with team members and stakeholders to ensure security objectives are met. • Strong understanding of security concepts and technologies related to Identity and Access Management (IAM), security engineering, network security design, security operations, security architecture, general engineering processes, cloud security, data loss protection, zero trust, DevSecOps and vulnerability management. • Technical skills in AWS cloud security, security engineering, DevSecOps, scripting, and Infrastructure-as-code (IaC) • Self-motivated and able to work independently • Strong attention to detail The Consultant shall deliver, but not limited to, the following: • Conduct regular security reviews of cloud infrastructure deployed by engineering teams • Evaluate infrastructure-as-code against security standards • Review and validate compliance with security policies and best practices • Assess adherence to AWS Well-Architected Framework security pillar • Identify and document security misconfigurations and non-compliant controls • Develop and maintain security posture dashboards • Create or update security configuration guides and playbooks • Offer technical consultation to engineering teams on secure implementation • Implement AWS security controls and services to ensure proper security hardening and other security engineering tasks. • Develop and update AWS security configuration standards • Conduct security training sessions for engineering teams • Present findings and recommendations in team meetings • Identify opportunities to automate security assessments • Recommend security tooling improvements Ref:

Job Description Job Description AI DevOps Engineer You must be authorized to work in the U.S. without any current or future sponsorship needs. This includes but is not limited to H1B, OPT, EAD, T1 and others. We will not be able to accommodate any of these conditions of employment. Who we are: Atkore is forging a future where our employees, customers, suppliers, shareholders, and communities are building better together - a future focused on serving the customer and powering and protecting the world. With a global network of manufacturing and distribution facilities, Atkore is a leading provider of electrical, safety, and infrastructure solutions. Who we are looking for: We are looking for an AI DevOps Engineer to support Atkore's newly established AI team. The AI DevOps Engineer will be a member of the Enterprise Architecture, Data Services and Automation (RPA/AI) team. This team works across all business and IT teams to turn Atkore strategy into executable and scalable platforms, delivering secure, resilient integration and automation to connect processes, applications and data end-to-end. This role reports to the Director of IT Enterprise Architecture, Data Services and Automation (RPA/AI) and will be based in our Mokena, Illinois or Dallas, Texas office. What you'll do : The AI DevOps Engineer is responsible for designing, building, and operating the foundational infrastructure required to support Atkore's enterprise AI capabilities. This role enables scalable, secure, and compliant AI agent development and integration across business, manufacturing, and corporate platforms. The position partners closely with Enterprise Architecture, Information Security, Data Services, and application delivery teams to ensure AI platforms are reliable, governed, and aligned with Atkore IT standards. Design, deploy, and maintain cloud and hybrid infrastructure supporting AI workloads, including container orchestration, GPU-enabled compute, and data platform integration Engineer scalable, resilient environments to support AI agent execution, model serving, and experimentation across the enterprise Design and manage APIs and microservices that provide secure, controlled data access for AI agents and AI-enabled applications Integrate AI infrastructure with enterprise platforms such as data lakes, analytics environments, and business systems Implement CI/CD pipelines, infrastructure-as-code, and automation to support AI platform reliability and repeatability Establish MLOps practices for model deployment, monitoring, and lifecycle management in partnership with data and AI teams Ensure AI infrastructure complies with Atkore security, privacy, and data governance standards Collaborate with cybersecurity and risk teams to enforce secure identity, access management, and auditability across AI platforms Partner with Enterprise Architecture to align AI platform design to long term technology standards and roadmaps Work closely with Data Engineering, Application Integration, and other IT teams to enable AI use cases across Atkore operations What you bring: BS / BA in Computer Science, Business or related field of study At least 5 years of experience in DevOps, Cloud Engineering, or Infrastructure Engineering roles Expertise in containerization and orchestration technologies (e.g. Kubernetes, Docker) and infrastructure as code tools (e.g. Terraform) Hands on experience with public cloud platforms (Azure preferred), including networking, compute, and identity services Experience supporting AI/ML infrastructure platforms (e.g. Azure ML Studio, Mflow, etc) Strong understanding of enterprise security principles, identity management, and secure API design Familiarity with data platforms and analytics ecosystems supporting structured and unstructured enterprise data Familiarity with Software Development Life Cycle and Agile delivery processes Experience integrating AI platforms with ERP, MES, or manufacturing systems within an industrial or manufacturing environment desired Exposure to AI governance, model risk management, or responsible AI frameworks desired Strong analytical, problem-solving, and collaboration skills Ability to communicate effectively with both technical and non-technical stakeholders Must embrace and foster an environment that supports our core values of Accountability, Teamwork, Integrity, Respect, Excellence Within 3 months, you'll: Have successfully completed your onboarding and immersion program, with a full understanding of what's expected of you as well as who the stakeholders are that you'll work closely with Have developed relationships with key stakeholders for this role Have partnered with Enterprise Architecture, Cybersecurity, and Data Services to align on a baseline AI infrastructure architecture aligned to Atkore enterprise standards, security controls, and cloud strategy Within 6 months, you'll: Be working collaboratively with Enterprise Architecture, Cybersecurity, and Data Services to define AI infrastructure guardrails (identity, access, logging, compliance) Be deploying an initial AI platform foundation (cloud and/or hybrid) capable of supporting early AI agent and model workloads Be implementing core DevOps / CI CD patterns for AI infrastructure, enabling repeatable and secure deployments Be successfully supporting first AI use cases or pilots by providing stable, secure infrastructure and rapid engineering support Be working closely with peers on the IT team on achieving KPI's, contributing ideas in the name of continuous improvement, regularly reviewing progress, establishing countermeasures where needed, and working collaboratively to achieve group objectives Within 12 months, you'll: Be expanding AI infrastructure to support multiple concurrent AI workloads, including model serving, data access, and agent execution Be working collaboratively with the Data Services and application teams to deliver secure API and data access patterns that enable AI solutions to integrate with enterprise data and business systems Be working collaboratively with Enterprise Architecture to standardize infrastructure as code and automation to reduce manual effort and improve platform resiliency Be working collaboratively with Enterprise Architecture to establish MLOps and platform monitoring practices for AI reliability, cost management, and performance transparency Atkore is a six-time Great Place to Work certified company and a four-time Top Workplaces USA award winner! We're committed to creating an engaged, aligned workforce driven by a collaborative culture. Our team strives for breakthrough results and stays focused on being standout leaders. We consistently live the Atkore mission, strategic priorities, and behaviors consistent with our core values. Join our team and align yourself with an industry leader! As of the date of this posting, a good faith estimate of the current pay for this position is $107,920 - $148,390. Placement in the range depends on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, relevant experience, skills, seniority, performance, shift, travel requirements, and business or organizational needs and may change over time. Other compensation may include, but not limited to, overtime, shift differentials, bonuses, commissions, stock, and other incentives. Benefits available include: Medical, vision, and dental insurance Life insurance Short-term and long-term disability insurance 401k Paid Time Off Paid holidays Any leave required under federal, state, or local law Benefits are subject to vesting and eligibility requirements. Applications are being accepted on an ongoing basis.

Job Description Job Description Complete Staffing is partnering with an AWESOME organization to identify an experienced Senior DevOps Engineer to join its technology team. This is an excellent opportunity for a hands-on technical professional who enjoys solving complex engineering challenges, modernizing cloud infrastructure, and improving software delivery processes. The Senior DevOps Engineer will play a key role in advancing the organization's DevOps capabilities, with a focus on cloud engineering, infrastructure automation, platform engineering, system reliability, and emerging AI-enabled operational tools. This individual will serve as a senior technical resource, helping establish best practices, mentor fellow engineers, and develop scalable, secure, and repeatable solutions that improve the reliability and efficiency of technology operations. Key Responsibilities DevOps & CI/CD: Design, implement, and optimize continuous integration and continuous delivery pipelines to support reliable, secure, and repeatable software releases. Cloud Engineering: Develop and maintain scalable, secure, and cost-effective cloud and hybrid infrastructure, preferably within Microsoft Azure. Infrastructure Automation: Build automation solutions and Infrastructure as Code using tools such as Terraform, Bicep, PowerShell, Python, Azure DevOps, and GitHub Actions. Platform Engineering: Develop reusable deployment templates, self-service workflows, and standardized engineering practices that improve developer productivity and streamline delivery. Site Reliability Engineering: Apply reliability engineering principles to improve system availability, performance, incident response, capacity planning, and operational efficiency. Monitoring & Observability: Implement and enhance monitoring, logging, metrics, tracing, alerting, and dashboards to improve system visibility and accelerate troubleshooting. Technical Leadership: Serve as a technical escalation point, mentor other engineers, lead complex troubleshooting efforts, and promote engineering best practices. Security & Compliance: Integrate security controls into pipelines and automation, including secrets management, identity and access controls, vulnerability scanning, and compliance requirements. Environment Management: Automate environment provisioning, configuration management, patching, release readiness, and other operational processes. Cloud-Native Technologies: Support containerization and orchestration technologies, including Docker and Kubernetes, where appropriate. AI-Enabled Operations: Evaluate and responsibly leverage AI-assisted tools to improve troubleshooting, documentation, automation, and engineering productivity while maintaining appropriate security controls. Cross-Functional Collaboration: Partner with application development, infrastructure, database, security, and operations teams to improve deployment processes and production reliability. Documentation & Continuous Improvement: Maintain technical documentation, architecture diagrams, runbooks, and operational standards while researching new tools and technologies to improve engineering practices. Required Qualifications 5-7 years of progressive experience in DevOps, cloud engineering, systems engineering, platform engineering, infrastructure automation, or a related technical field. Hands-on experience designing, supporting, and improving CI/CD pipelines using tools such as Azure DevOps, GitHub Actions, Jenkins, GitLab CI, or similar platforms. Strong scripting and automation skills using PowerShell, Python, Bash, or comparable languages. Experience with Infrastructure as Code tools such as Terraform, Bicep, ARM templates, or Ansible. Working knowledge of cloud infrastructure, preferably Microsoft Azure, including networking, compute, storage, identity, security, monitoring, and cost optimization. Understanding of modern DevOps practices, release management, infrastructure automation, and operational support. Familiarity with monitoring, logging, alerting, and observability tools such as Azure Monitor, Application Insights, Log Analytics, Grafana, Prometheus, Splunk, or similar technologies. Knowledge of DevSecOps principles, including secure pipeline design, secrets management, vulnerability scanning, and access controls. Experience supporting enterprise applications, databases, middleware, or other business-critical systems across development, testing, staging, and production environments. Strong troubleshooting, analytical, communication, and documentation skills. Ability to work independently, lead technical initiatives, and mentor engineers without requiring direct people-management responsibility. Preferred Qualifications Experience with platform engineering practices, internal developer platforms, self-service automation, and reusable deployment patterns. Knowledge of Site Reliability Engineering principles, including service-level indicators, service-level objectives, error budgets, incident reviews, and toil reduction. Experience with Docker, Kubernetes, container orchestration, and cloud-native application deployment. Familiarity with AI-assisted engineering and operations tools. Experience with hybrid infrastructure environments and enterprise application platforms. Industry certifications such as Microsoft Azure Administrator, Azure DevOps Engineer Expert, Azure Solutions Architect, HashiCorp Terraform Associate, Kubernetes, or related DevOps certifications. Education & Experience A bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline is preferred. Equivalent combinations of education, certifications, and relevant professional experience will also be considered.

Job Description Job Description SteerBridge is a modern technology company delivering innovative, mission-focused solutions to the U.S. Government and private sector. Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies, we deliver agile, commercial-grade capabilities that accelerate operational effectiveness and drive measurable mission success. At the core of SteerBridge is our people-especially the veterans whose leadership, problem-solving mindset, and commitment to excellence elevate every project we support. We don't simply hire exceptional talent; we cultivate it , creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve. Position Overview SteerBridge is seeking a senior technical leader to own enterprise data architecture and serve as the Technical Product Owner for the Modern Disability Claims (MDC) data pipeline. This position combines hands-on architectural direction with independent product prioritization, backlog decisions, sprint delivery accountability, and mentorship for Scrum teams. The successful candidate will translate mission and program priorities into scalable designs, clear engineering work, and measurable delivery outcomes while communicating effectively with senior SteerBridge and VA stakeholders. Key Responsibilities Own the target-state architecture for claims, clinical, and healthcare data, including conceptual, logical, and physical models, integration patterns, and cloud data platforms. Independently prioritize and maintain the technical product backlog; define epics, user stories, acceptance criteria, dependencies, and delivery priorities in partnership with mission stakeholders. Own product decisions and sprint delivery outcomes for data engineering Scrum teams; guide sprint planning, refinement, reviews, and continuous improvement in coordination with team facilitators. Provide experienced leadership and mentorship to MDC Scrum teams, establishing mature Agile delivery practices, improving backlog refinement, sprint planning, execution discipline, and delivery predictability. Coach engineers, junior architects, and Scrum team members in technical delivery, product ownership practices, and architecture standards. Design scalable batch and real-time ETL/ELT pipelines, schema evolution, data quality controls, lineage, observability, and governance. Direct cloud platform architecture and technology decisions across AWS, Azure, or GCP and enterprise warehouse/lake technologies. Apply appropriate access controls, sensitive-data safeguards, and federal and healthcare data handling requirements. Enable analytics and AI/ML use cases through reliable, governed, reusable data infrastructure. Lead architecture reviews, resolve cross-system tradeoffs, and communicate roadmaps, risks, priorities, and technical decisions to executive and government stakeholders. Required Qualifications U.S. citizenship and ability to obtain a Public Trust clearance (an active Secret or Top Secret clearance also satisfies this requirement). Bachelor's degree or higher in Computer Science, Systems Engineering, Data Science, or a related field. At least six years of professional data architecture experience and at least two years of demonstrated, hands-on technical Product Owner experience, including independent responsibility for backlog prioritization, product decisions, and Scrum delivery. These experiences may be concurrent, provided both capabilities are clearly demonstrated. Demonstrated enterprise-scale data architecture ownership in a cloud environment, including data modeling, platform design, and data integration. Actual experience independently prioritizing a technical product backlog, making backlog decisions, and guiding sprint execution for an engineering or data team; a formal Product Owner job title is not required. Demonstrated experience improving Agile/Scrum team maturity through hands-on product ownership, coaching, mentorship, and implementation of effective backlog management, sprint planning, and delivery practices. Proficiency with SQL and Python, and practical experience with relevant data engineering tools and workflows (such as Pandas, PySpark, and Git). Experience with enterprise data warehouses or lakes such as Databricks, Redshift, BigQuery, or Snowflake, or comparable platforms. Ability to brief senior executives and government stakeholders, explain architectural tradeoffs, and mentor technical teams. Ability to work in a hybrid arrangement based in Vienna, VA, with an expected on-site presence of at least three days per week, subject to supervisor direction. Preferred Qualifications Experience with federal claims, healthcare, clinical, or other regulated and sensitive data environments, including HIPAA and federal data requirements. Experience establishing enterprise data modeling standards, master data management, metadata catalogs, lineage, and data governance. Familiarity with dimensional modeling, Data Vault, OLTP/OLAP architecture, and hybrid or multi-cloud design. Experience supporting AI/ML-ready data platforms, analytics, feature pipelines, and data science teams. Infrastructure as code, CI/CD, DevOps, and cost/performance governance for cloud data platforms. Benefits Health insurance Dental insurance Vision insurance Life Insurance 401(k) Retirement Plan with matching Paid Time Off Paid Federal Holidays The posted compensation range reflects the scope and requirements of this position. A final offer will be determined based on the candidate's relevant experience, skills, education, certifications, and work location, along with the responsibilities of the position. Where applicable, contract requirements, wage determinations, and federal contract labor categories may also inform the offer. SteerBridge also offers benefits that may include health and life insurance, paid time off, paid holidays, disability coverage, retirement savings, and professional development opportunities. Benefits vary by position and eligibility. SteerBridge is proud to be an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace where all qualified applicants and employees are treated with respect and dignity-regardless of race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation, or any other characteristic protected by law. We also provide reasonable accommodations for individuals with disabilities in accordance with applicable laws. If you require assistance during the application process, we encourage you to reach out so we can support your needs. If you would like information about how your application is processed, please contact us.

Job Description Job Description An active or rein-statable TS/SCI with Polygraph security clearance is REQUIRED. Please do not apply if you currently do not possess this level of clearance. Are you a Senior DevOps Engineer who is ready for a new challenge that will launch your career to the next level? Tired of being treated like a company drone? Tired of promised adventures during the hiring phase, then dropped off on a remote contract and never seen or heard from the mothership again? Our engineers were certainly tired of the same. At GliaCell our slogan is "We make It happen". We will immerse you in the latest technologies. We will develop and support your own personalized training program to continue your individual growth. We will provide you with work that matters with our mission focused customers, and surround you with a family of brilliant engineers. Culture isn't something you need to talk about if it just exists. If this sounds interesting to you, then we'd like to have a discussion regarding your next adventure! If you want to be a drone, this isn't the place for you. We Make It Happen! GliaCell Technologies focuses on Software & System Engineering in Enterprise and Cyber Security solution spaces. We excel at delivering stable and reliable software solutions using Agile Software Development principles. These provide us the capability to deliver a quick turn-around using interactive applications and the integration of industry standard software stacks. GliaCell's Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. We also provide customer solutions in the areas of CND, CNE, and CNO by providing our customers with assessments and solutions in Threat Mitigation, Vulnerability Exposure, Penetration Testing, Threat Hunting, and Preventing Advanced Persistent Threat. We Offer: Long term job security Competitive salaries & bonus opportunities Challenging work you are passionate about Ability to work with some amazingly talented people Job Description: GliaCell is seeking a Senior DevOps Engineer on one of our subcontracts. This is a full-time position offering the opportunity to support a U.S. Government customer. The mission is to provide technical expertise that assists in sustaining critical mission-related software and systems to a large government contract. Responsibilities: Support the development life cycle of platform architectural design, deployment and debugging Building a release pipeline to enable fast, but safe delivery of critical business software to Production Develop & Maintain sound version control best practices-based CM systems (GIT), including branching and merging strategies Serve as a technical lead for an Agile team and actively participate in all Agile ceremonies. Participate in all team ceremonies including planning, grooming, product demonstration and team retrospectives. Ability to automate release deployments across development, test, stag in g, Quality Assurance and production stacks using a combination of scripting languages and other automation toolkits Key Requirements: To be considered for this position you must have the following: Possess an active or rein-statable TS/SCI with Polygraph security clearance. U.S. Citizenship. Bachelor's degree or higher is required in either Engineering (i. e. Computer, Electrical, Mechanical, Aerospace, etc.) or Computer Science with a minimum of ten (10) years of related experience (excludes education experience such as Bachelor's or Master's degree in relevant field) Works well independently as well as on a team. Strong communication skills. Required Skills: AWS (e.g., ECS, EKS) - hands on experience working with DOD's specific implementation Kubernetes Infrastructure automation Kafka Java NiFi PostgreSQL Desired Skills: Must be fluent with Git Strong knowledge of Linux and Linux environments (RHEL 617/8, RHCSNRHCE CentOS) Experience with Windows system administration, system monitoring, instrumentation, resiliency and performance. 10+ years working in an Agile dev environment (excludes education experience such as Bachelor's or Master degree in relevant field) Experience integrating Jenkins/Bamboo Docker, and Kubernetes for automated deployment preferred Experience with caching technologies (Memcache, Active MQ, Redis, APC, etc.) Experience with MySQL (Clusters, Replication, and Tuning) and Elasticsearch (Kibana a plus). Knowledge of security practices, networking protocols, firewalls, PCI compliance etc. Location: Columbia, MD Salary Range: The salary range for this full-time position is $170,000 to $260,000. Our salary ranges are determined by position, level, skills, professional experience, relevant education and certifications. The range displayed on each job posting reflects the minimum and maximum target salaries for this position across our projects. Within the range, your salary is determined by your individual benefits package selection. Your recruiter can share more about the specific salary range for your preferred position during the hiring process. SIGN-ON BONUS ELIGIBLE. Benefits: CareFirst Medical Coverage for Employee and Dependents Guardian Dental and Vision Coverage for Employee and Dependents Up to 25 Days of Paid Time Off Up to 40 hours of PTO Carryover 11 Federal Government Holidays Work From Home Opportunities 401K Company Contribution, Fully Vested Day 1 Discretionary, Certification, and Sign-On Bonus Potential Employee Referral Bonus Program Annual Professional Development 100% Premium Covered for Life & Disability Insurances Additional Voluntary Life Insurance Coverage Available Employee Assistance Program Travel Protection Program Financial Planning Assistance Bereavement and Jury Duty Leave Monthly Team and Family Events Technology Budget Global Entry Annual Swag Budget Learn more about GliaCell Technologies: To apply for this position, respond to this job posting and attach an updated resume for us to review. GliaCell Technologies, LLC is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. Powered by JazzHR MDEfb6026K

Job Description Job Description AI DevOps Engineer You must be authorized to work in the U.S. without any current or future sponsorship needs. This includes but is not limited to H1B, OPT, EAD, T1 and others. We will not be able to accommodate any of these conditions of employment. Who we are: Atkore is forging a future where our employees, customers, suppliers, shareholders, and communities are building better together - a future focused on serving the customer and powering and protecting the world. With a global network of manufacturing and distribution facilities, Atkore is a leading provider of electrical, safety, and infrastructure solutions. Who we are looking for: We are looking for an AI DevOps Engineer to support Atkore's newly established AI team. The AI DevOps Engineer will be a member of the Enterprise Architecture, Data Services and Automation (RPA/AI) team. This team works across all business and IT teams to turn Atkore strategy into executable and scalable platforms, delivering secure, resilient integration and automation to connect processes, applications and data end-to-end. This role reports to the Director of IT Enterprise Architecture, Data Services and Automation (RPA/AI) and will be based in our Mokena, Illinois or Dallas, Texas office. What you'll do : The AI DevOps Engineer is responsible for designing, building, and operating the foundational infrastructure required to support Atkore's enterprise AI capabilities. This role enables scalable, secure, and compliant AI agent development and integration across business, manufacturing, and corporate platforms. The position partners closely with Enterprise Architecture, Information Security, Data Services, and application delivery teams to ensure AI platforms are reliable, governed, and aligned with Atkore IT standards. Design, deploy, and maintain cloud and hybrid infrastructure supporting AI workloads, including container orchestration, GPU-enabled compute, and data platform integration Engineer scalable, resilient environments to support AI agent execution, model serving, and experimentation across the enterprise Design and manage APIs and microservices that provide secure, controlled data access for AI agents and AI-enabled applications Integrate AI infrastructure with enterprise platforms such as data lakes, analytics environments, and business systems Implement CI/CD pipelines, infrastructure-as-code, and automation to support AI platform reliability and repeatability Establish MLOps practices for model deployment, monitoring, and lifecycle management in partnership with data and AI teams Ensure AI infrastructure complies with Atkore security, privacy, and data governance standards Collaborate with cybersecurity and risk teams to enforce secure identity, access management, and auditability across AI platforms Partner with Enterprise Architecture to align AI platform design to long term technology standards and roadmaps Work closely with Data Engineering, Application Integration, and other IT teams to enable AI use cases across Atkore operations What you bring: BS / BA in Computer Science, Business or related field of study At least 5 years of experience in DevOps, Cloud Engineering, or Infrastructure Engineering roles Expertise in containerization and orchestration technologies (e.g. Kubernetes, Docker) and infrastructure as code tools (e.g. Terraform) Hands on experience with public cloud platforms (Azure preferred), including networking, compute, and identity services Experience supporting AI/ML infrastructure platforms (e.g. Azure ML Studio, Mflow, etc) Strong understanding of enterprise security principles, identity management, and secure API design Familiarity with data platforms and analytics ecosystems supporting structured and unstructured enterprise data Familiarity with Software Development Life Cycle and Agile delivery processes Experience integrating AI platforms with ERP, MES, or manufacturing systems within an industrial or manufacturing environment desired Exposure to AI governance, model risk management, or responsible AI frameworks desired Strong analytical, problem-solving, and collaboration skills Ability to communicate effectively with both technical and non-technical stakeholders Must embrace and foster an environment that supports our core values of Accountability, Teamwork, Integrity, Respect, Excellence Within 3 months, you'll: Have successfully completed your onboarding and immersion program, with a full understanding of what's expected of you as well as who the stakeholders are that you'll work closely with Have developed relationships with key stakeholders for this role Have partnered with Enterprise Architecture, Cybersecurity, and Data Services to align on a baseline AI infrastructure architecture aligned to Atkore enterprise standards, security controls, and cloud strategy Within 6 months, you'll: Be working collaboratively with Enterprise Architecture, Cybersecurity, and Data Services to define AI infrastructure guardrails (identity, access, logging, compliance) Be deploying an initial AI platform foundation (cloud and/or hybrid) capable of supporting early AI agent and model workloads Be implementing core DevOps / CI CD patterns for AI infrastructure, enabling repeatable and secure deployments Be successfully supporting first AI use cases or pilots by providing stable, secure infrastructure and rapid engineering support Be working closely with peers on the IT team on achieving KPI's, contributing ideas in the name of continuous improvement, regularly reviewing progress, establishing countermeasures where needed, and working collaboratively to achieve group objectives Within 12 months, you'll: Be expanding AI infrastructure to support multiple concurrent AI workloads, including model serving, data access, and agent execution Be working collaboratively with the Data Services and application teams to deliver secure API and data access patterns that enable AI solutions to integrate with enterprise data and business systems Be working collaboratively with Enterprise Architecture to standardize infrastructure as code and automation to reduce manual effort and improve platform resiliency Be working collaboratively with Enterprise Architecture to establish MLOps and platform monitoring practices for AI reliability, cost management, and performance transparency Atkore is a six-time Great Place to Work certified company and a four-time Top Workplaces USA award winner! We're committed to creating an engaged, aligned workforce driven by a collaborative culture. Our team strives for breakthrough results and stays focused on being standout leaders. We consistently live the Atkore mission, strategic priorities, and behaviors consistent with our core values. Join our team and align yourself with an industry leader! As of the date of this posting, a good faith estimate of the current pay for this position is $107,920 - $148,390. Placement in the range depends on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, relevant experience, skills, seniority, performance, shift, travel requirements, and business or organizational needs and may change over time. Other compensation may include, but not limited to, overtime, shift differentials, bonuses, commissions, stock, and other incentives. Benefits available include: Medical, vision, and dental insurance Life insurance Short-term and long-term disability insurance 401k Paid Time Off Paid holidays Any leave required under federal, state, or local law Benefits are subject to vesting and eligibility requirements. Applications are being accepted on an ongoing basis.

Job Description Job Description SteerBridge is a modern technology company delivering innovative, mission-focused solutions to the U.S. Government and private sector. Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies, we deliver agile, commercial-grade capabilities that accelerate operational effectiveness and drive measurable mission success. At the core of SteerBridge is our people-especially the veterans whose leadership, problem-solving mindset, and commitment to excellence elevate every project we support. We don't simply hire exceptional talent; we cultivate it , creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve. Position Overview SteerBridge is seeking a senior technical leader to own enterprise data architecture and serve as the Technical Product Owner for the Modern Disability Claims (MDC) data pipeline. This position combines hands-on architectural direction with independent product prioritization, backlog decisions, sprint delivery accountability, and mentorship for Scrum teams. The successful candidate will translate mission and program priorities into scalable designs, clear engineering work, and measurable delivery outcomes while communicating effectively with senior SteerBridge and VA stakeholders. Key Responsibilities Own the target-state architecture for claims, clinical, and healthcare data, including conceptual, logical, and physical models, integration patterns, and cloud data platforms. Independently prioritize and maintain the technical product backlog; define epics, user stories, acceptance criteria, dependencies, and delivery priorities in partnership with mission stakeholders. Own product decisions and sprint delivery outcomes for data engineering Scrum teams; guide sprint planning, refinement, reviews, and continuous improvement in coordination with team facilitators. Provide experienced leadership and mentorship to MDC Scrum teams, establishing mature Agile delivery practices, improving backlog refinement, sprint planning, execution discipline, and delivery predictability. Coach engineers, junior architects, and Scrum team members in technical delivery, product ownership practices, and architecture standards. Design scalable batch and real-time ETL/ELT pipelines, schema evolution, data quality controls, lineage, observability, and governance. Direct cloud platform architecture and technology decisions across AWS, Azure, or GCP and enterprise warehouse/lake technologies. Apply appropriate access controls, sensitive-data safeguards, and federal and healthcare data handling requirements. Enable analytics and AI/ML use cases through reliable, governed, reusable data infrastructure. Lead architecture reviews, resolve cross-system tradeoffs, and communicate roadmaps, risks, priorities, and technical decisions to executive and government stakeholders. Required Qualifications U.S. citizenship and ability to obtain a Public Trust clearance (an active Secret or Top Secret clearance also satisfies this requirement). Bachelor's degree or higher in Computer Science, Systems Engineering, Data Science, or a related field. At least six years of professional data architecture experience and at least two years of demonstrated, hands-on technical Product Owner experience, including independent responsibility for backlog prioritization, product decisions, and Scrum delivery. These experiences may be concurrent, provided both capabilities are clearly demonstrated. Demonstrated enterprise-scale data architecture ownership in a cloud environment, including data modeling, platform design, and data integration. Actual experience independently prioritizing a technical product backlog, making backlog decisions, and guiding sprint execution for an engineering or data team; a formal Product Owner job title is not required. Demonstrated experience improving Agile/Scrum team maturity through hands-on product ownership, coaching, mentorship, and implementation of effective backlog management, sprint planning, and delivery practices. Proficiency with SQL and Python, and practical experience with relevant data engineering tools and workflows (such as Pandas, PySpark, and Git). Experience with enterprise data warehouses or lakes such as Databricks, Redshift, BigQuery, or Snowflake, or comparable platforms. Ability to brief senior executives and government stakeholders, explain architectural tradeoffs, and mentor technical teams. Ability to work in a hybrid arrangement based in Vienna, VA, with an expected on-site presence of at least three days per week, subject to supervisor direction. Preferred Qualifications Experience with federal claims, healthcare, clinical, or other regulated and sensitive data environments, including HIPAA and federal data requirements. Experience establishing enterprise data modeling standards, master data management, metadata catalogs, lineage, and data governance. Familiarity with dimensional modeling, Data Vault, OLTP/OLAP architecture, and hybrid or multi-cloud design. Experience supporting AI/ML-ready data platforms, analytics, feature pipelines, and data science teams. Infrastructure as code, CI/CD, DevOps, and cost/performance governance for cloud data platforms. Benefits Health insurance Dental insurance Vision insurance Life Insurance 401(k) Retirement Plan with matching Paid Time Off Paid Federal Holidays The posted compensation range reflects the scope and requirements of this position. A final offer will be determined based on the candidate's relevant experience, skills, education, certifications, and work location, along with the responsibilities of the position. Where applicable, contract requirements, wage determinations, and federal contract labor categories may also inform the offer. SteerBridge also offers benefits that may include health and life insurance, paid time off, paid holidays, disability coverage, retirement savings, and professional development opportunities. Benefits vary by position and eligibility. SteerBridge is proud to be an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace where all qualified applicants and employees are treated with respect and dignity-regardless of race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation, or any other characteristic protected by law. We also provide reasonable accommodations for individuals with disabilities in accordance with applicable laws. If you require assistance during the application process, we encourage you to reach out so we can support your needs. If you would like information about how your application is processed, please contact us.