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.
10/31/2026
Full time
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 Job Title: AWS Application Production Support Engineer Location: Knoxville, TN, Columbia SC or Lafayette, LA or Birmingham, AL Type: Direct Hire Responsibilities Monitor AWS hosted applications and respond to production alerts and incidents. Perform incident triage using AWS consoles, application logs, monitoring tools, and available operational documentation. Investigate application and processing failures across AWS services, databases, and scheduled jobs. Support Amazon RDS and Amazon Redshift and troubleshoot database related application issues. Run and troubleshoot existing AutoSys jobs and scheduled processes. Monitor and troubleshoot existing CI/CD pipelines and operational processes. Identify likely root causes or failure points and recommend appropriate next steps. Restore services using approved production support procedures. Independently research solutions when existing knowledge articles do not fully address an issue. Escalate complex incidents to SMEs and engineering teams with complete diagnostic findings. Create, update, and track incidents and service requests in ServiceNow. Identify recurring manual activities and opportunities for operational automation. Maintain and improve knowledge articles and support documentation. Coordinate with application development, infrastructure, AWS, database, and business support teams. Requirements 5+ years of application or production support experience in an enterprise environment. Strong hands-on AWS production support experience, including AWS console navigation and cloud log analysis. Strong incident triage, troubleshooting, and production support skills. Hands on experience with Amazon RDS and Amazon Redshift. Experience with AutoSys or a comparable enterprise job scheduling platform. Understanding of DevOps and CI/CD processes, with experience running and troubleshooting existing pipelines. Strong log analysis skills and the ability to identify likely failure points across applications, AWS services, databases, and scheduled processes. Experience with ServiceNow or a comparable incident/ticket management platform. Ability to independently investigate issues when documented procedures are incomplete. Experience restoring services using approved operational procedures and escalating complex issues with clear diagnostic evidence. Strong analytical, troubleshooting, communication, and cross team coordination skills. Ability to work effectively in a time sensitive 24x7 production environment. Desired Skillset: ?Preferred: Python scripting/automation, AWS Associate level certification, and experience supporting enterprise HR, Finance, or other back office applications. Educational Requirements: ?Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh
10/31/2026
Full time
Job Description Job Description Job Title: AWS Application Production Support Engineer Location: Knoxville, TN, Columbia SC or Lafayette, LA or Birmingham, AL Type: Direct Hire Responsibilities Monitor AWS hosted applications and respond to production alerts and incidents. Perform incident triage using AWS consoles, application logs, monitoring tools, and available operational documentation. Investigate application and processing failures across AWS services, databases, and scheduled jobs. Support Amazon RDS and Amazon Redshift and troubleshoot database related application issues. Run and troubleshoot existing AutoSys jobs and scheduled processes. Monitor and troubleshoot existing CI/CD pipelines and operational processes. Identify likely root causes or failure points and recommend appropriate next steps. Restore services using approved production support procedures. Independently research solutions when existing knowledge articles do not fully address an issue. Escalate complex incidents to SMEs and engineering teams with complete diagnostic findings. Create, update, and track incidents and service requests in ServiceNow. Identify recurring manual activities and opportunities for operational automation. Maintain and improve knowledge articles and support documentation. Coordinate with application development, infrastructure, AWS, database, and business support teams. Requirements 5+ years of application or production support experience in an enterprise environment. Strong hands-on AWS production support experience, including AWS console navigation and cloud log analysis. Strong incident triage, troubleshooting, and production support skills. Hands on experience with Amazon RDS and Amazon Redshift. Experience with AutoSys or a comparable enterprise job scheduling platform. Understanding of DevOps and CI/CD processes, with experience running and troubleshooting existing pipelines. Strong log analysis skills and the ability to identify likely failure points across applications, AWS services, databases, and scheduled processes. Experience with ServiceNow or a comparable incident/ticket management platform. Ability to independently investigate issues when documented procedures are incomplete. Experience restoring services using approved operational procedures and escalating complex issues with clear diagnostic evidence. Strong analytical, troubleshooting, communication, and cross team coordination skills. Ability to work effectively in a time sensitive 24x7 production environment. Desired Skillset: ?Preferred: Python scripting/automation, AWS Associate level certification, and experience supporting enterprise HR, Finance, or other back office applications. Educational Requirements: ?Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh
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.
10/31/2026
Full time
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 Job Title: Platform Engineer (DevOps) Location: Salt Lake City, UT Work Mode : 5 Days Onsite Duration : Contract to Hire Responsibilities • Design, build, and optimize enterprise CI/CD pipelines using GitHub Actions and other modern DevOps platforms • Administer enterprise Source Code Management (SCM) repositories, implementing branching strategies, release management, version control, and code integration best practices • Develop and maintain Infrastructure as Code (IaC) using Terraform to provision and manage cloud and hybrid infrastructure • Build, deploy, and support cloud-native microservices and RESTful APIs that power platform services and engineering automation • Deploy, configure, and manage containerized applications using Docker, Kubernetes (GKE), and Helm • Design reusable platform components, automation frameworks, engineering utilities, and integrations that improve developer productivity and operational efficiency • Champion DevSecOps principles by embedding security, compliance, governance, and quality controls throughout the software development lifecycle • Implement enterprise monitoring, logging, and observability solutions using Splunk, AppDynamics, and comparable platforms to improve system health, reliability, and operational visibility • Design, deploy, and support scalable cloud infrastructure on Google Cloud Platform (preferred) or AWS using cloud engineering best practices • Troubleshoot complex platform, infrastructure, networking, and deployment issues while driving continuous platform improvements • Partner with software engineers, cloud architects, infrastructure teams, and client stakeholders to deliver reliable enterprise platform solutions • Create and maintain technical documentation including platform architecture, deployment standards, engineering playbooks, and operational procedures • Mentor fellow engineers by promoting automation, engineering best practices, knowledge sharing, and continuous improvement Requirements • Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related technical discipline • 3+ years of experience as a Platform Engineer, DevOps Engineer, SRE, Cloud Engineer, Pipeline Engineer, or in a similar role • Strong programming and automation experience using Java, Python, TypeScript, JavaScript, Groovy, Bash, YAML, Perl, or Ruby • Experience developing microservices, RESTful APIs, and build automation using Maven and Gradle • Strong expertise with Git and modern Source Code Management practices, including branching strategies, release management, pull request workflows, and CI/CD tools like GitHub Actions, Azure DevOps, Jenkins, or GitLab CI/CD • Hands-on experience deploying and managing containerized applications using Docker, Kubernetes (GKE), Helm, and enterprise Kubernetes platforms such as OpenShift, Tanzu, Rancher (RKE), or similar • Experience implementing Infrastructure as Code (IaC) using Terraform, with familiarity in tools like Ansible, Puppet, or Chef • Knowledge of cloud-native infrastructure deployment on Google Cloud Platform (preferred) or AWS • Working knowledge of Linux and Windows operating systems supporting enterprise applications • Experience with enterprise monitoring, logging, and observability tools such as Splunk, AppDynamics, Prometheus, ELK/OpenSearch, or similar • Familiarity with relational and NoSQL databases including SQL Server, MySQL, PostgreSQL, MongoDB, and tools like Liquibase • Experience working within Agile methodologies including Scrum, Kanban, or SAFe • Excellent analytical, troubleshooting, communication, and collaboration skills • Passion for automation, continuous improvement, platform engineering, and enterprise solutions Preferred Qualifications • Supporting enterprise cloud migrations and platform modernization projects • Knowledge of security automation, policy-as-code, secrets management, and DevSecOps toolings • Implementing GitOps methodologies with Argo CD or Flux • Certifications such as Google Cloud Professional, Kubernetes (CKA/CKAD), Terraform, AWS, or similar • Supporting high-availability, mission-critical enterprise environments • Consulting experience with enterprise clients and cross-functional teams Ref: Pittsburgh
10/31/2026
Full time
Job Description Job Description Job Title: Platform Engineer (DevOps) Location: Salt Lake City, UT Work Mode : 5 Days Onsite Duration : Contract to Hire Responsibilities • Design, build, and optimize enterprise CI/CD pipelines using GitHub Actions and other modern DevOps platforms • Administer enterprise Source Code Management (SCM) repositories, implementing branching strategies, release management, version control, and code integration best practices • Develop and maintain Infrastructure as Code (IaC) using Terraform to provision and manage cloud and hybrid infrastructure • Build, deploy, and support cloud-native microservices and RESTful APIs that power platform services and engineering automation • Deploy, configure, and manage containerized applications using Docker, Kubernetes (GKE), and Helm • Design reusable platform components, automation frameworks, engineering utilities, and integrations that improve developer productivity and operational efficiency • Champion DevSecOps principles by embedding security, compliance, governance, and quality controls throughout the software development lifecycle • Implement enterprise monitoring, logging, and observability solutions using Splunk, AppDynamics, and comparable platforms to improve system health, reliability, and operational visibility • Design, deploy, and support scalable cloud infrastructure on Google Cloud Platform (preferred) or AWS using cloud engineering best practices • Troubleshoot complex platform, infrastructure, networking, and deployment issues while driving continuous platform improvements • Partner with software engineers, cloud architects, infrastructure teams, and client stakeholders to deliver reliable enterprise platform solutions • Create and maintain technical documentation including platform architecture, deployment standards, engineering playbooks, and operational procedures • Mentor fellow engineers by promoting automation, engineering best practices, knowledge sharing, and continuous improvement Requirements • Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related technical discipline • 3+ years of experience as a Platform Engineer, DevOps Engineer, SRE, Cloud Engineer, Pipeline Engineer, or in a similar role • Strong programming and automation experience using Java, Python, TypeScript, JavaScript, Groovy, Bash, YAML, Perl, or Ruby • Experience developing microservices, RESTful APIs, and build automation using Maven and Gradle • Strong expertise with Git and modern Source Code Management practices, including branching strategies, release management, pull request workflows, and CI/CD tools like GitHub Actions, Azure DevOps, Jenkins, or GitLab CI/CD • Hands-on experience deploying and managing containerized applications using Docker, Kubernetes (GKE), Helm, and enterprise Kubernetes platforms such as OpenShift, Tanzu, Rancher (RKE), or similar • Experience implementing Infrastructure as Code (IaC) using Terraform, with familiarity in tools like Ansible, Puppet, or Chef • Knowledge of cloud-native infrastructure deployment on Google Cloud Platform (preferred) or AWS • Working knowledge of Linux and Windows operating systems supporting enterprise applications • Experience with enterprise monitoring, logging, and observability tools such as Splunk, AppDynamics, Prometheus, ELK/OpenSearch, or similar • Familiarity with relational and NoSQL databases including SQL Server, MySQL, PostgreSQL, MongoDB, and tools like Liquibase • Experience working within Agile methodologies including Scrum, Kanban, or SAFe • Excellent analytical, troubleshooting, communication, and collaboration skills • Passion for automation, continuous improvement, platform engineering, and enterprise solutions Preferred Qualifications • Supporting enterprise cloud migrations and platform modernization projects • Knowledge of security automation, policy-as-code, secrets management, and DevSecOps toolings • Implementing GitOps methodologies with Argo CD or Flux • Certifications such as Google Cloud Professional, Kubernetes (CKA/CKAD), Terraform, AWS, or similar • Supporting high-availability, mission-critical enterprise environments • Consulting experience with enterprise clients and cross-functional teams Ref: Pittsburgh
Job Description Job Description Company Description: IMCS Group is one of the fastest growing MWBE (Minority Woman Owned Enterprise) staffing firms in the U.S. We focus on bringing a Diversity Recruitment approach to Fortune 500 companies within North America and EMEA region contingent labor programs. IMCS Group excels in providing top talent in IT, Healthcare, Engineering, Finance, Light Industrial, Contact Center, and Clerical. We have offices in the US, Canada, Mexico, and India in which we can provide support to our clients. Description: Job Title: DevOps Lead Developer Work Location & Reporting Address: Chicago, IL 60604 (Hybrid) Vendor Rate: Contract duration: 12 months Target Start Date: 18 Sep 2026 Does this position require Visa independent candidates only? Yes Interview Process: Both and client interviews are video interviews. Job Details: Minimum years of experience required: 8-10 years Certification needed: ServiceNow Certified System Administrator (CSA) and Certified Admin Developer (CAD) Both certifications are mandatory. Must Have Skills: (Hands-on experience) "Devops "ServiceNow Developer Nice to Have Skills: None Detailed Job Description: Job Summary We are seeking an experienced ServiceNow DevOps Lead Developer to lead the design, development, and implementation of ServiceNow DevOps solutions and enterprise integrations. The ideal candidate will drive DevOps transformation initiatives by integrating ServiceNow with CI/CD and Agile toolchains, automating change management processes, and establishing scalable development standards. This role requires strong technical leadership, hands-on development expertise, integration experience, and the ability to collaborate with architects, developers, DevOps engineers, and business stakeholders to deliver enterprise-grade solutions. Key Responsibilities ServiceNow DevOps Development "Design, develop, and implement ServiceNow DevOps solutions. "Configure and support DevOps Change Velocity capabilities. "Automate change request creation and approval workflows from CI/CD pipelines. "Develop and maintain custom applications, workflows, and automation solutions. "Configure policies and controls to support compliant software delivery processes. "Translate business requirements into scalable ServiceNow solutions. "Drive adoption of ServiceNow DevOps best practices across teams. "Delivery of scalable, secure, and maintainable platform solutions. DevOps Toolchain Integrations "Design and implement integrations between ServiceNow and enterprise DevOps platforms. oIntegrate ServiceNow with tools such as: Azure DevOps, Jira, GitHub, GitLab, SonarQube. oDevelop integrations using: REST APIs, SOAP APIs, Integration Hub, Webhooks, Scripted REST APIs "Configure and manage authentication mechanisms including OAuth and API tokens. "Build reusable integration frameworks and components. "Troubleshoot and optimize integration performance and reliability. Pipeline and Change Automation "Integrate CI/CD pipelines with ServiceNow Change Management. "Automate Standard, Normal, and Emergency Change processes. "Configure approval policies and risk-based change automation. "Establish traceability across requirements, development, testing, deployment, and change activities. "Implement deployment governance and compliance controls. "Reduce manual intervention through intelligent automation. "Support end-to-end release orchestration and deployment visibility. Technical Leadership "Lead technical design discussions and architecture reviews. "Provide guidance to developers on ServiceNow development best practices. "Conduct code reviews and ensure adherence to coding standards. "Mentor and coach development teams. "Collaborate with Solution Architects, Enterprise Architects, and Platform Owners. "Review and validate technical solution designs and integration strategies. "Support estimation, sprint planning, and technical roadmap discussions. "Identify and mitigate technical risks and dependencies. ServiceNow Platform Development "Develop and maintain: Business Rules, Script Includes, Client Scripts, UI Policies, UI Actions, ACLs, Flow Designer Flows, Integration Hub Actions, Scheduled Jobs, Notifications, Import Sets and Transform Maps, Scripted REST APIs "Develop scalable and reusable platform components. "Ensure optimal platform performance and maintainability. "Follow ServiceNow development and security best practices. Release and Deployment Management "Support ServiceNow application lifecycle management. "Manage Update Sets, Source Control, and Application Repository deployments. "Define deployment and release standards. "Support release planning and deployment activities across environments. "Coordinate platform upgrades and assess integration impacts. "Implement version control and deployment governance practices. Governance, Security, and Compliance "Ensure solutions comply with enterprise security standards. "Implement secure coding and integration practices. "Maintain role-based access controls and data security requirements. "Participate in architecture, security, and governance reviews. "Maintain technical documentation and solution artifacts. "Ensure compliance with audit and regulatory requirements. "Promote platform standardization and reduction of technical debt. Preferred Certifications "ServiceNow Certified System Administrator (CSA) "ServiceNow Certified Application Developer (CAD) "ServiceNow Certified Implementation Specialist ITSM "ServiceNow DevOps Micro-Certification Experience 8 Years of Overall IT Experience "Minimum 8 years of ServiceNow development experience "Minimum 6 years of experience in DevOps integration and automation initiatives "Proven experience leading ServiceNow development and integration teams Custom Fields: Name: Intake Call Requested Value: true Name: Intake Call Completed Value: true EEOC Disclaimer: IMCS Group is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. IMCS Group is committed to maintaining an inclusive workforce, where employees are hired, retained, compensated, and promoted based on their contributions to our Company.
10/31/2026
Full time
Job Description Job Description Company Description: IMCS Group is one of the fastest growing MWBE (Minority Woman Owned Enterprise) staffing firms in the U.S. We focus on bringing a Diversity Recruitment approach to Fortune 500 companies within North America and EMEA region contingent labor programs. IMCS Group excels in providing top talent in IT, Healthcare, Engineering, Finance, Light Industrial, Contact Center, and Clerical. We have offices in the US, Canada, Mexico, and India in which we can provide support to our clients. Description: Job Title: DevOps Lead Developer Work Location & Reporting Address: Chicago, IL 60604 (Hybrid) Vendor Rate: Contract duration: 12 months Target Start Date: 18 Sep 2026 Does this position require Visa independent candidates only? Yes Interview Process: Both and client interviews are video interviews. Job Details: Minimum years of experience required: 8-10 years Certification needed: ServiceNow Certified System Administrator (CSA) and Certified Admin Developer (CAD) Both certifications are mandatory. Must Have Skills: (Hands-on experience) "Devops "ServiceNow Developer Nice to Have Skills: None Detailed Job Description: Job Summary We are seeking an experienced ServiceNow DevOps Lead Developer to lead the design, development, and implementation of ServiceNow DevOps solutions and enterprise integrations. The ideal candidate will drive DevOps transformation initiatives by integrating ServiceNow with CI/CD and Agile toolchains, automating change management processes, and establishing scalable development standards. This role requires strong technical leadership, hands-on development expertise, integration experience, and the ability to collaborate with architects, developers, DevOps engineers, and business stakeholders to deliver enterprise-grade solutions. Key Responsibilities ServiceNow DevOps Development "Design, develop, and implement ServiceNow DevOps solutions. "Configure and support DevOps Change Velocity capabilities. "Automate change request creation and approval workflows from CI/CD pipelines. "Develop and maintain custom applications, workflows, and automation solutions. "Configure policies and controls to support compliant software delivery processes. "Translate business requirements into scalable ServiceNow solutions. "Drive adoption of ServiceNow DevOps best practices across teams. "Delivery of scalable, secure, and maintainable platform solutions. DevOps Toolchain Integrations "Design and implement integrations between ServiceNow and enterprise DevOps platforms. oIntegrate ServiceNow with tools such as: Azure DevOps, Jira, GitHub, GitLab, SonarQube. oDevelop integrations using: REST APIs, SOAP APIs, Integration Hub, Webhooks, Scripted REST APIs "Configure and manage authentication mechanisms including OAuth and API tokens. "Build reusable integration frameworks and components. "Troubleshoot and optimize integration performance and reliability. Pipeline and Change Automation "Integrate CI/CD pipelines with ServiceNow Change Management. "Automate Standard, Normal, and Emergency Change processes. "Configure approval policies and risk-based change automation. "Establish traceability across requirements, development, testing, deployment, and change activities. "Implement deployment governance and compliance controls. "Reduce manual intervention through intelligent automation. "Support end-to-end release orchestration and deployment visibility. Technical Leadership "Lead technical design discussions and architecture reviews. "Provide guidance to developers on ServiceNow development best practices. "Conduct code reviews and ensure adherence to coding standards. "Mentor and coach development teams. "Collaborate with Solution Architects, Enterprise Architects, and Platform Owners. "Review and validate technical solution designs and integration strategies. "Support estimation, sprint planning, and technical roadmap discussions. "Identify and mitigate technical risks and dependencies. ServiceNow Platform Development "Develop and maintain: Business Rules, Script Includes, Client Scripts, UI Policies, UI Actions, ACLs, Flow Designer Flows, Integration Hub Actions, Scheduled Jobs, Notifications, Import Sets and Transform Maps, Scripted REST APIs "Develop scalable and reusable platform components. "Ensure optimal platform performance and maintainability. "Follow ServiceNow development and security best practices. Release and Deployment Management "Support ServiceNow application lifecycle management. "Manage Update Sets, Source Control, and Application Repository deployments. "Define deployment and release standards. "Support release planning and deployment activities across environments. "Coordinate platform upgrades and assess integration impacts. "Implement version control and deployment governance practices. Governance, Security, and Compliance "Ensure solutions comply with enterprise security standards. "Implement secure coding and integration practices. "Maintain role-based access controls and data security requirements. "Participate in architecture, security, and governance reviews. "Maintain technical documentation and solution artifacts. "Ensure compliance with audit and regulatory requirements. "Promote platform standardization and reduction of technical debt. Preferred Certifications "ServiceNow Certified System Administrator (CSA) "ServiceNow Certified Application Developer (CAD) "ServiceNow Certified Implementation Specialist ITSM "ServiceNow DevOps Micro-Certification Experience 8 Years of Overall IT Experience "Minimum 8 years of ServiceNow development experience "Minimum 6 years of experience in DevOps integration and automation initiatives "Proven experience leading ServiceNow development and integration teams Custom Fields: Name: Intake Call Requested Value: true Name: Intake Call Completed Value: true EEOC Disclaimer: IMCS Group is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. IMCS Group is committed to maintaining an inclusive workforce, where employees are hired, retained, compensated, and promoted based on their contributions to our Company.
Job Description Job Description Position: DevOps Engineer The DevOps Engineer 's roles and responsibilities are multifaceted, requiring technical agility and operations mindset simultaneously. It is essential to have communication and coordination skills to successfully integrate various functions in a coordinated manner and deliver the responsibilities to the company's needs. Responsibilities Develop and maintain CI/CD pipelines in Azure DevOps to deploy notebooks, jobs, and workflows to Azure Databricks. Integrate Databricks Repos with Azure Repos (Git) for source control of PySpark/R notebooks. Automate job runs in Databricks using Databricks CLI, REST API, or DevOps tasks. Maintain infrastructure-as-code practices (e.g., using Terraform). Monitor and troubleshoot pipeline failures, notebook issues, and deployment inconsistencies. Collaborate with Data Engineers and Platform teams to maintain development, staging, and production environments. Implement best practices for version control, testing, and notebook promotion in a multi-environment setup. Store and manage Databricks secrets, tokens, and configuration securely within Azure Key Vault and DevOps variable groups. Understand and apply DevOps practices in a data platform context. Position Requirements Bachelor's degree in computer science, Information Technology, or related or an equivalent combination of education and experience. Minimum of three (3) years of experience in DevOps engineering or a related role, with a focus on Microsoft Azure, including other cloud-based data integration and associated technologies. Proficiency with data analytics and AI platforms and automating notebook execution. Proficiency in scripting languages for automation and various programming. Compensation The base salary range for this role is $138,000 to $182,000 and reflects the range of experience and qualifications we may consider. Final compensation will be determined based on geographic location and job-related factors such as experience, skills, education, certifications, and internal compensation considerations. While a larger range is posted, most offers will typically fall within a narrower band based on these factors. Benefits Comprehensive Benefits - Medical, dental, and vision insurance, employee assistance program, employer-paid and voluntary life insurance, disability insurance, plus health and flexible spending accounts Financial & Retirement Support - Competitive compensation, 401k with employer match, and financial wellness resources Time Off & Leave - 20 PTO days, 7 paid holidays, and 1 floating day to make your own, and paid parental leave Wellness & Growth - Work life assistance resources, physical wellness perks, mental health support, employee referral program, and BenefitHub for employee discounts About Monogram Health Monogram Health is a leading multispecialty provider of in-home, evidence-based care for the most complex of patients who have multiple chronic conditions. Monogram health takes a comprehensive and personalized approach to a person's health, treating not only a disease, but all of the chronic conditions that are present - such as diabetes, hypertension, chronic kidney disease, heart failure, depression, COPD, and other metabolic disorders. Monogram Health employs a robust clinical team, leveraging specialists across multiple disciplines including nephrology, cardiology, endocrinology, pulmonology, behavioral health, and palliative care to diagnose and treat health issues; review and prescribe medication; provide guidance, education, and counselling on a patient's healthcare options; as well as assist with daily needs such as access to food, eating healthy, transportation, financial assistance, and more. Monogram Health is available 24 hours a day, 7 days a week, and on holidays, to support and treat patients in their home. Monogram Health's personalized and innovative treatment model is proven to dramatically improve patient outcomes and quality of life while reducing medical costs across the health care continuum.
10/31/2026
Full time
Job Description Job Description Position: DevOps Engineer The DevOps Engineer 's roles and responsibilities are multifaceted, requiring technical agility and operations mindset simultaneously. It is essential to have communication and coordination skills to successfully integrate various functions in a coordinated manner and deliver the responsibilities to the company's needs. Responsibilities Develop and maintain CI/CD pipelines in Azure DevOps to deploy notebooks, jobs, and workflows to Azure Databricks. Integrate Databricks Repos with Azure Repos (Git) for source control of PySpark/R notebooks. Automate job runs in Databricks using Databricks CLI, REST API, or DevOps tasks. Maintain infrastructure-as-code practices (e.g., using Terraform). Monitor and troubleshoot pipeline failures, notebook issues, and deployment inconsistencies. Collaborate with Data Engineers and Platform teams to maintain development, staging, and production environments. Implement best practices for version control, testing, and notebook promotion in a multi-environment setup. Store and manage Databricks secrets, tokens, and configuration securely within Azure Key Vault and DevOps variable groups. Understand and apply DevOps practices in a data platform context. Position Requirements Bachelor's degree in computer science, Information Technology, or related or an equivalent combination of education and experience. Minimum of three (3) years of experience in DevOps engineering or a related role, with a focus on Microsoft Azure, including other cloud-based data integration and associated technologies. Proficiency with data analytics and AI platforms and automating notebook execution. Proficiency in scripting languages for automation and various programming. Compensation The base salary range for this role is $138,000 to $182,000 and reflects the range of experience and qualifications we may consider. Final compensation will be determined based on geographic location and job-related factors such as experience, skills, education, certifications, and internal compensation considerations. While a larger range is posted, most offers will typically fall within a narrower band based on these factors. Benefits Comprehensive Benefits - Medical, dental, and vision insurance, employee assistance program, employer-paid and voluntary life insurance, disability insurance, plus health and flexible spending accounts Financial & Retirement Support - Competitive compensation, 401k with employer match, and financial wellness resources Time Off & Leave - 20 PTO days, 7 paid holidays, and 1 floating day to make your own, and paid parental leave Wellness & Growth - Work life assistance resources, physical wellness perks, mental health support, employee referral program, and BenefitHub for employee discounts About Monogram Health Monogram Health is a leading multispecialty provider of in-home, evidence-based care for the most complex of patients who have multiple chronic conditions. Monogram health takes a comprehensive and personalized approach to a person's health, treating not only a disease, but all of the chronic conditions that are present - such as diabetes, hypertension, chronic kidney disease, heart failure, depression, COPD, and other metabolic disorders. Monogram Health employs a robust clinical team, leveraging specialists across multiple disciplines including nephrology, cardiology, endocrinology, pulmonology, behavioral health, and palliative care to diagnose and treat health issues; review and prescribe medication; provide guidance, education, and counselling on a patient's healthcare options; as well as assist with daily needs such as access to food, eating healthy, transportation, financial assistance, and more. Monogram Health is available 24 hours a day, 7 days a week, and on holidays, to support and treat patients in their home. Monogram Health's personalized and innovative treatment model is proven to dramatically improve patient outcomes and quality of life while reducing medical costs across the health care continuum.
Job Description Job Description Job Title: Senior Windows Server / Cloud DevOps Engineer Location: Onsite Washington, District Of Columbia Work Model: Onsite - onsite Responsibilities Own Windows Server production operations (day one), providing hands-on support for mission-critical applications hosted in government cloud (AWS GovCloud). Administer, troubleshoot, patch, harden, and recover Windows Server systems to maintain availability. Take ownership of Kubernetes environment (EKS), operating and troubleshooting production workloads independently. Lead incident response activities, conducting root-cause analysis across Windows, cloud, and container platforms. Design, implement, and maintain secure, scalable cloud architectures across Windows and Linux systems, either independently or leading small teams. Develop and manage Infrastructure as Code using Terraform and Ansible to automate environment provisioning and configuration. Create and maintain CI/CD pipelines and DevSecOps automation aligned with industry standards. Design and implement monitoring, logging, and alerting solutions to ensure system availability and performance. Enforce security best practices, including identity management and system hardening for federal environments. Produce technical documentation, runbooks, and SOPs; mentor junior and mid-level engineers; provide technical leadership in DevOps practices. Requirements Strong, current experience with Windows Server operations - including support, troubleshooting, maintenance, and patching. Hands-on expertise in Kubernetes (EKS), capable of independent operation and troubleshooting in a production environment. At least 10 years of relevant IT/engineering experience, with 3+ years supporting cloud engineering environments. Experience with AWS GovCloud. Bachelor's degree in Computer Science, Information Systems, Engineering, or related field; Master's may substitute for experience. Ability to work independently in complex, secure environments with strong analytical and troubleshooting skills. Excellent written and verbal communication skills, with demonstrated technical leadership and mentoring abilities. Ability to obtain and maintain a Federal Public Trust (or higher) clearance; active clearance preferred. Willingness and ability to participate in a production on-call rotation. Preferred skills include PowerShell scripting, Microsoft/Windows certifications, Terraform, Ansible, Kubernetes security, and experience with FISMA, NIST, and FedRAMP frameworks. Cloud certifications like AWS DevOps Engineer are a plus. Additional familiarity with PKI, identity services, scripting in Python and Bash, and supporting large enterprise systems is advantageous. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref:
10/31/2026
Full time
Job Description Job Description Job Title: Senior Windows Server / Cloud DevOps Engineer Location: Onsite Washington, District Of Columbia Work Model: Onsite - onsite Responsibilities Own Windows Server production operations (day one), providing hands-on support for mission-critical applications hosted in government cloud (AWS GovCloud). Administer, troubleshoot, patch, harden, and recover Windows Server systems to maintain availability. Take ownership of Kubernetes environment (EKS), operating and troubleshooting production workloads independently. Lead incident response activities, conducting root-cause analysis across Windows, cloud, and container platforms. Design, implement, and maintain secure, scalable cloud architectures across Windows and Linux systems, either independently or leading small teams. Develop and manage Infrastructure as Code using Terraform and Ansible to automate environment provisioning and configuration. Create and maintain CI/CD pipelines and DevSecOps automation aligned with industry standards. Design and implement monitoring, logging, and alerting solutions to ensure system availability and performance. Enforce security best practices, including identity management and system hardening for federal environments. Produce technical documentation, runbooks, and SOPs; mentor junior and mid-level engineers; provide technical leadership in DevOps practices. Requirements Strong, current experience with Windows Server operations - including support, troubleshooting, maintenance, and patching. Hands-on expertise in Kubernetes (EKS), capable of independent operation and troubleshooting in a production environment. At least 10 years of relevant IT/engineering experience, with 3+ years supporting cloud engineering environments. Experience with AWS GovCloud. Bachelor's degree in Computer Science, Information Systems, Engineering, or related field; Master's may substitute for experience. Ability to work independently in complex, secure environments with strong analytical and troubleshooting skills. Excellent written and verbal communication skills, with demonstrated technical leadership and mentoring abilities. Ability to obtain and maintain a Federal Public Trust (or higher) clearance; active clearance preferred. Willingness and ability to participate in a production on-call rotation. Preferred skills include PowerShell scripting, Microsoft/Windows certifications, Terraform, Ansible, Kubernetes security, and experience with FISMA, NIST, and FedRAMP frameworks. Cloud certifications like AWS DevOps Engineer are a plus. Additional familiarity with PKI, identity services, scripting in Python and Bash, and supporting large enterprise systems is advantageous. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref:
Job Description Job Description Description: Direct Hire Hybrid schedule in Plano, TX Comp range: $150-180K 15% travel (including int 'l ) MUST BE US CITIZEN or GREEN CARD HOLDER (No C2C) JOB DESCRIPTION Architect the Future of Enterprise Intelligence The Senior Data Architect provides technical leadership across the company's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spans traditional data management (DBMS, data modeling, warehousing, governance) and modern cloud native/AI data engineering on AWS, including bronze, silver, gold patterns, Generation (RAG) for LLMs, and data products that serve Cloud-native SaaS application teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases into target data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such as S3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g., Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implement row/ column level security, encryption (KMS), secrets management, and fine-grained authorization via IAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets and feature/knowledge layers to support SageMaker training/inference and Amazon Bedrock applications (e.g., Knowledge Bases, Guardrails, Agents, and Invoke Model/Converse orchestration). Lead RAG architectures (chunking, embeddings, retrieval) using vector databases such as Amazon OpenSearch Serverless (vector search) or Aurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Set prompt, context, and token budget standards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems: SQL Server, PostgreSQL, MongoDB, including schema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and govern EDW/ Lakehouse/ODS patterns; integrate with .NET/C# services and Angular frontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment Define API and data contract standards (REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for .NET/C# and Angular consumers. Orchestrate ingestion from SAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g., MSK/Kinesis, DMS, Glue). Partner with Solution/Platform Architects to ensure microservices and event driven designs are data efficient and observability ready. Data Governance, Quality & Observability Implement data governance (policies, stewardship, data classification), cataloging (Glue Data Catalog), lineage (Open Lineage compatible), and quality (rules, thresholds, SLAs/SLOs). Embed monitoring & cost governance (CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) with data minimization, tokenization, masking, and access controls across environments. Define secure patterns for model inputs/outputs (LLM safety), prompt hygiene, and guardrails to prevent leakage or misuse. Delivery Leadership & Collaboration Produce architecture blueprints, target state designs, and build/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; lead design reviews, threat modeling, and cost/performance reviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture of engineering excellence and learning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's in computer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g., AWS Data Analytics/Solutions Architect preferred). 10+ years designing and delivering enterprise data solutions, including hands-on work with both traditional DBMS and cloud native data platforms. 5+ years building on cloud platforms with production experience in several of: S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementing data propagation Lakehouse patterns and governance at scale. Proven track record supporting AI/ML workloads (feature stores, model data pipelines) and delivering RAG solutions with vector search on AWS. Strong SQL and Python; proficiency in data modeling - IFC (preferred), 3NF, dimensional/star, data vault, etc. DBMS: SQL Server, PostgreSQL (schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering: Spark/EMR, Glue (ETL/ELT & Studio), Airflow/Step Functions orchestration, Parquet/Delta/Iceberg. Streaming/CDC: MSK/Kinesis, DMS (change data capture), event driven patterns. Security & Governance: IAM, KMS, Lake Formation, Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement: Amazon Bedrock (Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval, prompt design, token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs, cost controls (storage/compute), workload rightsizing. DevOps/MLOps/IaC: Git, CI/CD for data pipelines; Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience with Redshift RA3/Spectrum, materialized views, workload management, and federated queries (Athena/Glue). Familiarity with Power BI / Microsoft Fabric and Amazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies (anonymization, differential privacy), policy as code, and guardrail frameworks. Experience working with geographically distributed teams and regulated data. Strategic thinking with the ability to balance short-term increments and long term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. System One, and its subsidiaries including Joulé, ALTA IT Services, and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Tulsa
10/31/2026
Full time
Job Description Job Description Description: Direct Hire Hybrid schedule in Plano, TX Comp range: $150-180K 15% travel (including int 'l ) MUST BE US CITIZEN or GREEN CARD HOLDER (No C2C) JOB DESCRIPTION Architect the Future of Enterprise Intelligence The Senior Data Architect provides technical leadership across the company's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spans traditional data management (DBMS, data modeling, warehousing, governance) and modern cloud native/AI data engineering on AWS, including bronze, silver, gold patterns, Generation (RAG) for LLMs, and data products that serve Cloud-native SaaS application teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases into target data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such as S3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g., Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implement row/ column level security, encryption (KMS), secrets management, and fine-grained authorization via IAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets and feature/knowledge layers to support SageMaker training/inference and Amazon Bedrock applications (e.g., Knowledge Bases, Guardrails, Agents, and Invoke Model/Converse orchestration). Lead RAG architectures (chunking, embeddings, retrieval) using vector databases such as Amazon OpenSearch Serverless (vector search) or Aurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Set prompt, context, and token budget standards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems: SQL Server, PostgreSQL, MongoDB, including schema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and govern EDW/ Lakehouse/ODS patterns; integrate with .NET/C# services and Angular frontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment Define API and data contract standards (REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for .NET/C# and Angular consumers. Orchestrate ingestion from SAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g., MSK/Kinesis, DMS, Glue). Partner with Solution/Platform Architects to ensure microservices and event driven designs are data efficient and observability ready. Data Governance, Quality & Observability Implement data governance (policies, stewardship, data classification), cataloging (Glue Data Catalog), lineage (Open Lineage compatible), and quality (rules, thresholds, SLAs/SLOs). Embed monitoring & cost governance (CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) with data minimization, tokenization, masking, and access controls across environments. Define secure patterns for model inputs/outputs (LLM safety), prompt hygiene, and guardrails to prevent leakage or misuse. Delivery Leadership & Collaboration Produce architecture blueprints, target state designs, and build/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; lead design reviews, threat modeling, and cost/performance reviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture of engineering excellence and learning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's in computer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g., AWS Data Analytics/Solutions Architect preferred). 10+ years designing and delivering enterprise data solutions, including hands-on work with both traditional DBMS and cloud native data platforms. 5+ years building on cloud platforms with production experience in several of: S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementing data propagation Lakehouse patterns and governance at scale. Proven track record supporting AI/ML workloads (feature stores, model data pipelines) and delivering RAG solutions with vector search on AWS. Strong SQL and Python; proficiency in data modeling - IFC (preferred), 3NF, dimensional/star, data vault, etc. DBMS: SQL Server, PostgreSQL (schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering: Spark/EMR, Glue (ETL/ELT & Studio), Airflow/Step Functions orchestration, Parquet/Delta/Iceberg. Streaming/CDC: MSK/Kinesis, DMS (change data capture), event driven patterns. Security & Governance: IAM, KMS, Lake Formation, Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement: Amazon Bedrock (Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval, prompt design, token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs, cost controls (storage/compute), workload rightsizing. DevOps/MLOps/IaC: Git, CI/CD for data pipelines; Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience with Redshift RA3/Spectrum, materialized views, workload management, and federated queries (Athena/Glue). Familiarity with Power BI / Microsoft Fabric and Amazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies (anonymization, differential privacy), policy as code, and guardrail frameworks. Experience working with geographically distributed teams and regulated data. Strategic thinking with the ability to balance short-term increments and long term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. System One, and its subsidiaries including Joulé, ALTA IT Services, and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Tulsa
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.
10/31/2026
Full time
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 Job Title: Senior Data Engineer with DevOps Duration : Full Time Location : Pittsburgh, PA, Cleveland, OH, or Dallas, TX Work Mode : 5 Days Onsite Years Of Exp : 8+ Yrs Job Description: We are seeking a Data Engineer with 5 years of experience to design and maintain scalable data pipeline supporting analytics, reporting, and operational needs. The role involves collaborating with cross functional teams to ensure data alignment with business requirements and enterprise standards. Duties and Responsibilities: Design and build scalable data pipelines aligned with business needs Process large dataset (batch + sometimes near Realtime) Ensure data quality, consistency, and governance standards across systems Support data integration and transformation efforts for analytics and reporting platforms Maintain data dictionaries, metadata, and documentation Participate in data architecture reviews and model validation processes Support analytics reporting and risk platforms. Required Qualifications 5+ years of experience in data engineering and big data processing Strong expertise in Apache Spark (Spark Core, Spark SQL) and PySpark for large scale batch processing Experience working with structured and semi structured data, including complex transformations and performance tuning Proficiency in data ingestion and integration from sources like Oracle, SQL Server, Hive, HDFS, and S3; transform data into 'curated data models' Experience writing data to Hive tables, Data Lakes (Iceberg), and downstream reporting systems Strong knowledge of SQL and data modeling concepts Hands on experience with Apache Airflow for workflow orchestration (DAG design, scheduling expectations, monitoring) Proficiency in shell scripting for job automation, file validation, dependency handling, and logging. Trigger Spark Jobs, perform file checks and validation; Archive & purge data; mange job dependency, logging & error handling Strong understanding of batch processing and batch job scheduling frameworks Experience migrating from CA7/Control M Airflow (daily, hourly, weekly schedules) CI/CD for data pipelines Fundamentals in Linux and Networking Docker, OCP containerization / Kubernetes Knowledge of CI/CD pipeline tools: Tools commonly include Jenkins, GitHub Actions, Azure DevOps, GitLab Cl, Maven, and Gradle Automate operational tasks using Python, Bash/Shell, and PowerShell Implement monitoring and alerting, Application Insights. Enable centralized logging with tools such as ELK. Experience ensuring data quality, reliability, and compliance in regulated environments Good communication and documentation skillsGood communication and collaboration skills in cross-functional teams Agile/Safe methodologies Must Have Skills Airflow Containerization DevOps Elastic Stack & Elasticsearch GitHub Hadoop Hive Jenkins JSON Web Token (JWT) Kubernetes OpenShift Oracle Python Shell Script SQLite Ref: Pittsburgh
10/31/2026
Full time
Job Description Job Description Job Title: Senior Data Engineer with DevOps Duration : Full Time Location : Pittsburgh, PA, Cleveland, OH, or Dallas, TX Work Mode : 5 Days Onsite Years Of Exp : 8+ Yrs Job Description: We are seeking a Data Engineer with 5 years of experience to design and maintain scalable data pipeline supporting analytics, reporting, and operational needs. The role involves collaborating with cross functional teams to ensure data alignment with business requirements and enterprise standards. Duties and Responsibilities: Design and build scalable data pipelines aligned with business needs Process large dataset (batch + sometimes near Realtime) Ensure data quality, consistency, and governance standards across systems Support data integration and transformation efforts for analytics and reporting platforms Maintain data dictionaries, metadata, and documentation Participate in data architecture reviews and model validation processes Support analytics reporting and risk platforms. Required Qualifications 5+ years of experience in data engineering and big data processing Strong expertise in Apache Spark (Spark Core, Spark SQL) and PySpark for large scale batch processing Experience working with structured and semi structured data, including complex transformations and performance tuning Proficiency in data ingestion and integration from sources like Oracle, SQL Server, Hive, HDFS, and S3; transform data into 'curated data models' Experience writing data to Hive tables, Data Lakes (Iceberg), and downstream reporting systems Strong knowledge of SQL and data modeling concepts Hands on experience with Apache Airflow for workflow orchestration (DAG design, scheduling expectations, monitoring) Proficiency in shell scripting for job automation, file validation, dependency handling, and logging. Trigger Spark Jobs, perform file checks and validation; Archive & purge data; mange job dependency, logging & error handling Strong understanding of batch processing and batch job scheduling frameworks Experience migrating from CA7/Control M Airflow (daily, hourly, weekly schedules) CI/CD for data pipelines Fundamentals in Linux and Networking Docker, OCP containerization / Kubernetes Knowledge of CI/CD pipeline tools: Tools commonly include Jenkins, GitHub Actions, Azure DevOps, GitLab Cl, Maven, and Gradle Automate operational tasks using Python, Bash/Shell, and PowerShell Implement monitoring and alerting, Application Insights. Enable centralized logging with tools such as ELK. Experience ensuring data quality, reliability, and compliance in regulated environments Good communication and documentation skillsGood communication and collaboration skills in cross-functional teams Agile/Safe methodologies Must Have Skills Airflow Containerization DevOps Elastic Stack & Elasticsearch GitHub Hadoop Hive Jenkins JSON Web Token (JWT) Kubernetes OpenShift Oracle Python Shell Script SQLite Ref: Pittsburgh
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
10/31/2026
Full time
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 Client Name Persistent systems Ltd. Indent ID SF_OP_207643-1 PTalent Job# 184643 Position Title Automation QA Expert (AI) Location Remote Hybrid working Remote Employment Type Fulltime and C2C Visa Type Only USC or GC Rate Fulltime salary - $110,000 to $120,000 Benefits / C2C rate - $75/hr. Job Description Lead the transformation of legacy test automation frameworks into scalable, AI-enabled automation platforms leveraging modern tools, reusable components, and cloud-native architectures. Utilize Generative AI and AI-assisted engineering tools to accelerate test design, script generation, test data creation, defect analysis, and automation maintenance, improving productivity and test coverage. Design and implement intelligent test automation solutions across UI, API, data, and integration layers using contemporary automation frameworks and CI/CD pipelines. Drive automation architecture, framework governance, and best practices, ensuring maintainability, reliability, observability, and seamless integration with DevSecOps processes. Partner with development, product, and quality engineering teams to identify automation opportunities, reduce technical debt, and establish next-generation quality engineering practices that improve release velocity and software quality. Key Skills: AI-assisted testing, GenAI tools (Copilot, ChatGPT, Claude, etc.), Selenium/Playwright/Cypress, API automation, CI/CD, DevOps, Python/Java/JavaScript, test framework modernization, quality engineering transformation.
10/31/2026
Full time
Job Description Job Description Client Name Persistent systems Ltd. Indent ID SF_OP_207643-1 PTalent Job# 184643 Position Title Automation QA Expert (AI) Location Remote Hybrid working Remote Employment Type Fulltime and C2C Visa Type Only USC or GC Rate Fulltime salary - $110,000 to $120,000 Benefits / C2C rate - $75/hr. Job Description Lead the transformation of legacy test automation frameworks into scalable, AI-enabled automation platforms leveraging modern tools, reusable components, and cloud-native architectures. Utilize Generative AI and AI-assisted engineering tools to accelerate test design, script generation, test data creation, defect analysis, and automation maintenance, improving productivity and test coverage. Design and implement intelligent test automation solutions across UI, API, data, and integration layers using contemporary automation frameworks and CI/CD pipelines. Drive automation architecture, framework governance, and best practices, ensuring maintainability, reliability, observability, and seamless integration with DevSecOps processes. Partner with development, product, and quality engineering teams to identify automation opportunities, reduce technical debt, and establish next-generation quality engineering practices that improve release velocity and software quality. Key Skills: AI-assisted testing, GenAI tools (Copilot, ChatGPT, Claude, etc.), Selenium/Playwright/Cypress, API automation, CI/CD, DevOps, Python/Java/JavaScript, test framework modernization, quality engineering transformation.
Job Description Job Description Job Title: Data Management Specialist II Location: Washington, DC Type: Contract Compensation: Not specified Work Model: onsite Hours: 40 hours per week Clearance: Public Trust $52.09/hr Responsibilities Administer and support Azure cloud resources, including Azure SQL Database, Blob Storage, and Azure Data Lake, ensuring optimal functionality and performance. Manage and configure Azure-based solutions for data storage, security, and access control. Implement automation scripts for managing and provisioning Azure resources using Azure CLI and PowerShell. Monitor and optimize SQL Server instances for efficiency and reliability. Perform database backups, restore operations, and ensure database integrity. Assist with migrations and upgrades of SQL Server environments to cloud-based platforms (Azure SQL). Assist in the deployment and maintenance of applications using Apache Tomcat. Ensure Apache Tomcat servers are running optimally and troubleshoot any issues that arise. Contribute to the development of Data Bricks pipelines, helping to implement data transformation and data engineering processes. Work with data teams to build scalable ETL (Extract, Transform, Load) processes using Azure Databricks. Create and maintain Power BI reports, dashboards, and data visualizations that provide actionable insights to business teams. Collaborate with business users to understand their reporting needs and design intuitive visualizations that help with data-driven decision-making. Use R Studio for data analysis, statistical modeling, and generating insights from large datasets. Work with the data science team to build predictive models and statistical reports that meet business needs. Document processes, workflows, and configurations to ensure consistent and effective data management practices. Requirements Bachelor's degree in Computer Science, Information Technology, Data Management, or a related field. 3+ years of experience working in data management, with hands-on experience in Azure, SQL Server, Power BI, Apache Tomcat, R Studio, and Data Bricks. Proficient in Azure Administration, including Azure SQL Database, Azure Blob Storage, and Azure Data Lake. Strong knowledge of SQL Server Database Administration, including performance tuning, backups, and restores. Experience working with Apache Tomcat for application deployments and integration. Practical experience with Power BI for report creation, dashboards, and data visualization. Proficiency in R Studio for data analysis and statistical modeling. Basic experience with Azure Databricks for data engineering and big data processing workflows. Ability to troubleshoot and resolve data management issues effectively. Strong teamwork abilities, with the capacity to communicate technical information to non-technical stakeholders. Desirable Skills: Experience with Azure DevOps for continuous integration and deployment (CI/CD) in data management projects. Familiarity with automation tools (e.g., PowerShell, Python) for script-based management of data resources. Knowledge of Data Governance principles and best practices. Experience with data migration and cloud-based database management (particularly moving SQL Server databases to Azure SQL). Microsoft Certifications in Azure, Power BI, or SQL Server are a plus. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref:
10/31/2026
Full time
Job Description Job Description Job Title: Data Management Specialist II Location: Washington, DC Type: Contract Compensation: Not specified Work Model: onsite Hours: 40 hours per week Clearance: Public Trust $52.09/hr Responsibilities Administer and support Azure cloud resources, including Azure SQL Database, Blob Storage, and Azure Data Lake, ensuring optimal functionality and performance. Manage and configure Azure-based solutions for data storage, security, and access control. Implement automation scripts for managing and provisioning Azure resources using Azure CLI and PowerShell. Monitor and optimize SQL Server instances for efficiency and reliability. Perform database backups, restore operations, and ensure database integrity. Assist with migrations and upgrades of SQL Server environments to cloud-based platforms (Azure SQL). Assist in the deployment and maintenance of applications using Apache Tomcat. Ensure Apache Tomcat servers are running optimally and troubleshoot any issues that arise. Contribute to the development of Data Bricks pipelines, helping to implement data transformation and data engineering processes. Work with data teams to build scalable ETL (Extract, Transform, Load) processes using Azure Databricks. Create and maintain Power BI reports, dashboards, and data visualizations that provide actionable insights to business teams. Collaborate with business users to understand their reporting needs and design intuitive visualizations that help with data-driven decision-making. Use R Studio for data analysis, statistical modeling, and generating insights from large datasets. Work with the data science team to build predictive models and statistical reports that meet business needs. Document processes, workflows, and configurations to ensure consistent and effective data management practices. Requirements Bachelor's degree in Computer Science, Information Technology, Data Management, or a related field. 3+ years of experience working in data management, with hands-on experience in Azure, SQL Server, Power BI, Apache Tomcat, R Studio, and Data Bricks. Proficient in Azure Administration, including Azure SQL Database, Azure Blob Storage, and Azure Data Lake. Strong knowledge of SQL Server Database Administration, including performance tuning, backups, and restores. Experience working with Apache Tomcat for application deployments and integration. Practical experience with Power BI for report creation, dashboards, and data visualization. Proficiency in R Studio for data analysis and statistical modeling. Basic experience with Azure Databricks for data engineering and big data processing workflows. Ability to troubleshoot and resolve data management issues effectively. Strong teamwork abilities, with the capacity to communicate technical information to non-technical stakeholders. Desirable Skills: Experience with Azure DevOps for continuous integration and deployment (CI/CD) in data management projects. Familiarity with automation tools (e.g., PowerShell, Python) for script-based management of data resources. Knowledge of Data Governance principles and best practices. Experience with data migration and cloud-based database management (particularly moving SQL Server databases to Azure SQL). Microsoft Certifications in Azure, Power BI, or SQL Server are a plus. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. 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.
10/31/2026
Full time
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 Job Description We are seeking a DevOps / Cloud Engineer to design, operate, and scale critical data infrastructure and platform services supporting enterprise applications and development teams. This role focuses on maintaining high-availability distributed systems, enabling secure and automated deployments, and supporting data platforms such as Elasticsearch and MongoDB at scale. The ideal candidate has strong infrastructure engineering experience, a background supporting development teams, and hands-on expertise with scripting, automation, and production-grade system operations. Duties Responsibilities: • Manage, maintain, and optimize distributed data platforms including Elasticsearch clusters and MongoDB replica sets • Support scalability, performance tuning, upgrades, and reliability of production data systems • Design and implement infrastructure automation and deployment solutions using DevSecOps practices • Support software development teams by providing reliable CI/CD pipelines, environments, and operational tooling • Develop automation and operational scripts using Bash and Python • Monitor system health, performance, and availability across cloud and on-prem environments • Support system configuration, troubleshooting, and incident resolution for production services • Collaborate with engineering teams to ensure scalable and secure system design • Work with structured data formats (including JSON) across services and integrations • Contribute to system security, compliance, and architecture alignment with organizational standards , Required Skills Requirements: • 7+ years of overall IT experience across system administration, software engineering, or DevSecOps engineering • 2+ years of experience managing Elasticsearch clusters, MongoDB replica sets, or similar distributed data systems • 3+ years of experience supporting software development teams and production environments • 2+ years of experience with scripting in Bash and Python • Strong experience working with distributed systems, cloud infrastructure, and automation tools • Experience operating in production environments with focus on reliability and performance , Desired Skills Preferred Qualifications: • 15+ years of overall IT experience across systems, engineering, or DevSecOps roles • 5+ years of experience in a DevSecOps, Cloud Engineering, or Platform Engineering role • Hands-on experience managing, upgrading, and scaling Elasticsearch clusters • Experience with Elasticsearch index design, query optimization, and performance tuning • Experience migrating Elasticsearch data across different sharding strategies • Experience with MongoDB replication, sharding, and cluster architecture design • Strong experience working with JSON-based data structures and APIs • Experience with infrastructure automation tools such as CloudFormation, Jenkins, and Git-based workflows • Familiarity with AI-based or ML-enabled infrastructure solutions • Experience supporting Authorization Accreditation (AA) processes or compliance environments • Strong understanding of distributed system design, scalability, and cloud architecture , Additional Details What we offer: • Flexible time off • Full medical coverage • 401(k) with company match • Referral bonuses • Performance bonuses • Life insurance and disability coverage • Tuition and training reimbursement , About BOAB Ventures BOAB Ventures is a premier recruiting firm specializing in connecting top-tier talent with major corporations. With a focus on cleared positions and corporate roles, we excel in identifying and placing highly skilled professionals in industries where precision, expertise, and discretion are paramount. Our commitment to excellence ensures that both employers and candidates find the perfect match to achieve their goals.
10/31/2026
Full time
Job Description Job Description Job Description We are seeking a DevOps / Cloud Engineer to design, operate, and scale critical data infrastructure and platform services supporting enterprise applications and development teams. This role focuses on maintaining high-availability distributed systems, enabling secure and automated deployments, and supporting data platforms such as Elasticsearch and MongoDB at scale. The ideal candidate has strong infrastructure engineering experience, a background supporting development teams, and hands-on expertise with scripting, automation, and production-grade system operations. Duties Responsibilities: • Manage, maintain, and optimize distributed data platforms including Elasticsearch clusters and MongoDB replica sets • Support scalability, performance tuning, upgrades, and reliability of production data systems • Design and implement infrastructure automation and deployment solutions using DevSecOps practices • Support software development teams by providing reliable CI/CD pipelines, environments, and operational tooling • Develop automation and operational scripts using Bash and Python • Monitor system health, performance, and availability across cloud and on-prem environments • Support system configuration, troubleshooting, and incident resolution for production services • Collaborate with engineering teams to ensure scalable and secure system design • Work with structured data formats (including JSON) across services and integrations • Contribute to system security, compliance, and architecture alignment with organizational standards , Required Skills Requirements: • 7+ years of overall IT experience across system administration, software engineering, or DevSecOps engineering • 2+ years of experience managing Elasticsearch clusters, MongoDB replica sets, or similar distributed data systems • 3+ years of experience supporting software development teams and production environments • 2+ years of experience with scripting in Bash and Python • Strong experience working with distributed systems, cloud infrastructure, and automation tools • Experience operating in production environments with focus on reliability and performance , Desired Skills Preferred Qualifications: • 15+ years of overall IT experience across systems, engineering, or DevSecOps roles • 5+ years of experience in a DevSecOps, Cloud Engineering, or Platform Engineering role • Hands-on experience managing, upgrading, and scaling Elasticsearch clusters • Experience with Elasticsearch index design, query optimization, and performance tuning • Experience migrating Elasticsearch data across different sharding strategies • Experience with MongoDB replication, sharding, and cluster architecture design • Strong experience working with JSON-based data structures and APIs • Experience with infrastructure automation tools such as CloudFormation, Jenkins, and Git-based workflows • Familiarity with AI-based or ML-enabled infrastructure solutions • Experience supporting Authorization Accreditation (AA) processes or compliance environments • Strong understanding of distributed system design, scalability, and cloud architecture , Additional Details What we offer: • Flexible time off • Full medical coverage • 401(k) with company match • Referral bonuses • Performance bonuses • Life insurance and disability coverage • Tuition and training reimbursement , About BOAB Ventures BOAB Ventures is a premier recruiting firm specializing in connecting top-tier talent with major corporations. With a focus on cleared positions and corporate roles, we excel in identifying and placing highly skilled professionals in industries where precision, expertise, and discretion are paramount. Our commitment to excellence ensures that both employers and candidates find the perfect match to achieve their goals.
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.
10/31/2026
Full time
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 Description Flatirons Solutions is hiring an entry-level or associate-level DevOps Engineer in Hosting Operations. In this role, you will help run and improve the infrastructure behind our customers' systems: Linux and Windows administration, automation and scripting, high availability and cluster management, security patching, and a move toward containers. We are looking for someone who already has experience with these tools and a strong motivation to modernize how infrastructure is built and operated. You will work with senior engineers, with mentorship built in and room to take on more design and to support more of the company's platforms as you grow. Key Responsibilities Keep Linux and Windows systems healthy, including services, access, networking, and logs Apply security patches and mitigations on a recurring schedule so systems stay in compliance Build and maintain operational automation Support highly available services and database clusters Operate virtualized infrastructure and help move services toward containers Support backup and snapshot workflows, including how a restore is done Use AI to assist with automation, scripting, troubleshooting, and architecture, and turn that assistance into reviewed, workable changes Track your work in Jira on a Kanban board so status stays clear for the team Write clear, concise documentation so another engineer can walk into an environment and understand how it is built, operated, and recovered Partner with engineers on releases and incidents Will be a member of an on-call rotation for out-of-hours support Other duties as may be assigned Understands and adheres to all requirements of the Integrated Management Systems (IMS), which includes Quality, Information Security, and Privacy. Skills, Knowledge & Expertise Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field preferred; equivalent hands-on experience, training, or certifications welcome. 0-2 years of experience in IT support, systems administration, cloud operations, DevOps, or a related technical role. Relevant internships, coursework, home labs, and substantial project work are valued. Foundational Linux administration skills, including comfort using the command line and basic familiarity with systemd and text editors such as vi/vim. Familiarity with containers, such as Docker, Docker Swarm, or Podman, through work, coursework, or personal projects. Basic Windows administration skills for common user, system, and operational tasks. Familiarity with Bash/Shell scripting; able to create or modify simple scripts with guidance. Exposure to VMware/vCenter and virtual machine operations, or a willingness to learn traditional on-premises infrastructure. Understanding of basic security practices, including patching, vulnerability remediation, and access management. Exposure to infrastructure-as-code and CI/CD tools, such as Terraform, Jenkins, Ansible, or similar technologies. Interest in learning load balancing, high availability, and cluster-management tools, such as HAProxy or Patroni. Familiarity with Jira, Kanban, or other ticketing and Agile work-management tools. Comfortable using AI tools responsibly to support automation, scripting, troubleshooting, documentation, and learning. Clear written communication and a willingness to document work, processes, and solutions. Strong curiosity, troubleshooting mindset, attention to detail, and motivation to learn modern infrastructure practices. Kubernetes exposure is a plus. Familiarity with Veeam, Zerto, or similar backup and recovery tools is a plus. Remote or hybrid, if located near our Boulder, CO office. Salary Range: 75,000 to 100,000
10/31/2026
Full time
Job Description Job Description Description Flatirons Solutions is hiring an entry-level or associate-level DevOps Engineer in Hosting Operations. In this role, you will help run and improve the infrastructure behind our customers' systems: Linux and Windows administration, automation and scripting, high availability and cluster management, security patching, and a move toward containers. We are looking for someone who already has experience with these tools and a strong motivation to modernize how infrastructure is built and operated. You will work with senior engineers, with mentorship built in and room to take on more design and to support more of the company's platforms as you grow. Key Responsibilities Keep Linux and Windows systems healthy, including services, access, networking, and logs Apply security patches and mitigations on a recurring schedule so systems stay in compliance Build and maintain operational automation Support highly available services and database clusters Operate virtualized infrastructure and help move services toward containers Support backup and snapshot workflows, including how a restore is done Use AI to assist with automation, scripting, troubleshooting, and architecture, and turn that assistance into reviewed, workable changes Track your work in Jira on a Kanban board so status stays clear for the team Write clear, concise documentation so another engineer can walk into an environment and understand how it is built, operated, and recovered Partner with engineers on releases and incidents Will be a member of an on-call rotation for out-of-hours support Other duties as may be assigned Understands and adheres to all requirements of the Integrated Management Systems (IMS), which includes Quality, Information Security, and Privacy. Skills, Knowledge & Expertise Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field preferred; equivalent hands-on experience, training, or certifications welcome. 0-2 years of experience in IT support, systems administration, cloud operations, DevOps, or a related technical role. Relevant internships, coursework, home labs, and substantial project work are valued. Foundational Linux administration skills, including comfort using the command line and basic familiarity with systemd and text editors such as vi/vim. Familiarity with containers, such as Docker, Docker Swarm, or Podman, through work, coursework, or personal projects. Basic Windows administration skills for common user, system, and operational tasks. Familiarity with Bash/Shell scripting; able to create or modify simple scripts with guidance. Exposure to VMware/vCenter and virtual machine operations, or a willingness to learn traditional on-premises infrastructure. Understanding of basic security practices, including patching, vulnerability remediation, and access management. Exposure to infrastructure-as-code and CI/CD tools, such as Terraform, Jenkins, Ansible, or similar technologies. Interest in learning load balancing, high availability, and cluster-management tools, such as HAProxy or Patroni. Familiarity with Jira, Kanban, or other ticketing and Agile work-management tools. Comfortable using AI tools responsibly to support automation, scripting, troubleshooting, documentation, and learning. Clear written communication and a willingness to document work, processes, and solutions. Strong curiosity, troubleshooting mindset, attention to detail, and motivation to learn modern infrastructure practices. Kubernetes exposure is a plus. Familiarity with Veeam, Zerto, or similar backup and recovery tools is a plus. Remote or hybrid, if located near our Boulder, CO office. Salary Range: 75,000 to 100,000
Job Description Job Description Apply now: DevOps Engineer, location is Hybrid. The start date is ASAP for this contract position. Job Title: DevOps Engineer Location-Type: Hybrid (Austin, TX - Tuesday through Thursday Onsite) Start Date Is: ASAP Duration: 12 Month Contract (Opportunity to Convert) Compensation Range: $55-65/hr W2 Benefits: Eligible for Health, Dental, Vision, 401K Must be authorized to work in the U.S. This position is not eligible for sponsorship . Job Description: Seeking a DevOps Engineer to build and enhance enterprise cloud infrastructure through Terraform, Ansible, Kubernetes, and automation. This role focuses on developing reusable infrastructure, onboarding new cloud environments, improving deployment pipelines, and supporting secure, scalable multi-cloud platforms. Day-to-Day Responsibilities: Build and enhance Terraform infrastructure through new modules, refactoring, and standardization Develop, modify, and troubleshoot Ansible playbooks and automation Provision and manage Kubernetes (EKS) environments Support new customer onboarding by provisioning and integrating cloud environments Design, modify, and deploy infrastructure through Terraform pipelines Troubleshoot networking, deployment, connectivity, and performance issues Maintain secure multi-cloud environments across AWS, Azure, and GCP Manage infrastructure changes through Git, merge requests, and code reviews Monitor systems, logs, alerts, and respond to production incidents Configure IAM, RBAC, and security controls Automate repetitive operational tasks to improve deployment efficiency Create and maintain technical documentation, SOPs, and runbooks Partner with engineering teams to support infrastructure and deployment initiatives Design new cloud environments and improve existing platform architecture Minimum Requirements: 5-8 years of DevOps, Platform Engineering, or Infrastructure Engineering experience Strong Terraform experience, including building reusable modules from scratch Strong Ansible experience writing and modifying playbooks and automation Experience building platform and infrastructure automation-not simply maintaining existing environments Enterprise cloud infrastructure experience (AWS required; Azure and/or GCP preferred) Experience working in regulated or compliance-driven environments Strong Linux administration and networking experience Experience troubleshooting networking, routing, connectivity, and cloud infrastructure issues Experience building reusable infrastructure and automation frameworks Experience with Git workflows, merge requests, and code reviews Ability to explain technical decisions and architectural tradeoffs Self-starter with strong critical thinking and problem-solving skills Preferred Qualifications: Kubernetes/EKS GitLab Identity and RBAC experience Python YAML Experience with release management and CI/CD pipelines Experience building highly scalable infrastructure Experience leading technical initiatives or mentoring engineers
10/31/2026
Full time
Job Description Job Description Apply now: DevOps Engineer, location is Hybrid. The start date is ASAP for this contract position. Job Title: DevOps Engineer Location-Type: Hybrid (Austin, TX - Tuesday through Thursday Onsite) Start Date Is: ASAP Duration: 12 Month Contract (Opportunity to Convert) Compensation Range: $55-65/hr W2 Benefits: Eligible for Health, Dental, Vision, 401K Must be authorized to work in the U.S. This position is not eligible for sponsorship . Job Description: Seeking a DevOps Engineer to build and enhance enterprise cloud infrastructure through Terraform, Ansible, Kubernetes, and automation. This role focuses on developing reusable infrastructure, onboarding new cloud environments, improving deployment pipelines, and supporting secure, scalable multi-cloud platforms. Day-to-Day Responsibilities: Build and enhance Terraform infrastructure through new modules, refactoring, and standardization Develop, modify, and troubleshoot Ansible playbooks and automation Provision and manage Kubernetes (EKS) environments Support new customer onboarding by provisioning and integrating cloud environments Design, modify, and deploy infrastructure through Terraform pipelines Troubleshoot networking, deployment, connectivity, and performance issues Maintain secure multi-cloud environments across AWS, Azure, and GCP Manage infrastructure changes through Git, merge requests, and code reviews Monitor systems, logs, alerts, and respond to production incidents Configure IAM, RBAC, and security controls Automate repetitive operational tasks to improve deployment efficiency Create and maintain technical documentation, SOPs, and runbooks Partner with engineering teams to support infrastructure and deployment initiatives Design new cloud environments and improve existing platform architecture Minimum Requirements: 5-8 years of DevOps, Platform Engineering, or Infrastructure Engineering experience Strong Terraform experience, including building reusable modules from scratch Strong Ansible experience writing and modifying playbooks and automation Experience building platform and infrastructure automation-not simply maintaining existing environments Enterprise cloud infrastructure experience (AWS required; Azure and/or GCP preferred) Experience working in regulated or compliance-driven environments Strong Linux administration and networking experience Experience troubleshooting networking, routing, connectivity, and cloud infrastructure issues Experience building reusable infrastructure and automation frameworks Experience with Git workflows, merge requests, and code reviews Ability to explain technical decisions and architectural tradeoffs Self-starter with strong critical thinking and problem-solving skills Preferred Qualifications: Kubernetes/EKS GitLab Identity and RBAC experience Python YAML Experience with release management and CI/CD pipelines Experience building highly scalable infrastructure Experience leading technical initiatives or mentoring engineers
Job Description Job Description Description: Synapse ITS builds SYO, an intelligent cloud ecosystem that helps cities and DOTs respond to faults faster and keep intersections running safely and efficiently. We're hiring a mid-level DevOps Engineer to help run, automate and secure the platform behind SYO. You'll work with a distributed engineering team, and you'll play a key part in our SOC 2 compliance work. Responsibilities: • Build and maintain CI/CD pipelines for automated build, test, security scanning and deployment. • Provision and manage cloud infrastructure with Infrastructure as Code (Terraform, Terragrunt or similar). • Operate containerized workloads on Kubernetes or managed container services, including scaling, upgrades and cost tuning. • Set up and improve monitoring, logging, alerting and dashboards so you can track availability, latency and the health of device and data pipelines. • Respond quickly to production support issues and incidents, troubleshoot and fix problems, run root-cause analysis and write blameless postmortems. • Implement SOC 2 controls, including access management, encryption, patching and audit evidence. • Manage backup, disaster recovery and high-availability setups, and test them against RTO/RPO targets. • Help developers across time zones with environment setup, release coordination and troubleshooting. • Write and maintain runbooks, architecture diagrams and operational procedures. • Find manual toil and automate it. Requirements: • 3-5 years in DevOps, SRE or cloud infrastructure roles. • Hands-on production experience with at least one major cloud provider (AWS, Azure or GCP). • Strong skills with IaC tools, ideally Terraform and Terragrunt. • Experience with Docker and Kubernetes (EKS, AKS, GKE or self-managed). • Experience with CI/CD tools such as GitHub Actions, GitLab CI, Azure DevOps or Jenkins. • Scripting skills in Bash and Python, Go or PowerShell. • Solid Linux, networking (DNS, TLS, load balancing, VPC/VNet) and Git fundamentals. • Experience with observability tools such as Google Cloud Monitoring, Cloud Logging and Grafana. • Clear written and verbal communication in English, and comfort working asynchronously with a distributed team. Preferred Qualifications: • Experience supporting SOC 2, ISO 27001 or similar compliance programs. • Exposure to IoT, edge devices or real-time data streaming (MQTT, Kafka, Pub/Sub). • Familiarity with GitOps (Argo CD, Flux) and Helm. • Background in traffic, smart city or mission-critical systems. What Success Looks (First 6-12 Months): • Deployments are fully automated with a documented rollback path. • Monitoring covers SYO's critical services, with actionable alerts and fewer false pages. • You own a defined set of SOC 2 controls and their evidence collection. • Incident response time and deployment frequency both improve measurably.
10/31/2026
Full time
Job Description Job Description Description: Synapse ITS builds SYO, an intelligent cloud ecosystem that helps cities and DOTs respond to faults faster and keep intersections running safely and efficiently. We're hiring a mid-level DevOps Engineer to help run, automate and secure the platform behind SYO. You'll work with a distributed engineering team, and you'll play a key part in our SOC 2 compliance work. Responsibilities: • Build and maintain CI/CD pipelines for automated build, test, security scanning and deployment. • Provision and manage cloud infrastructure with Infrastructure as Code (Terraform, Terragrunt or similar). • Operate containerized workloads on Kubernetes or managed container services, including scaling, upgrades and cost tuning. • Set up and improve monitoring, logging, alerting and dashboards so you can track availability, latency and the health of device and data pipelines. • Respond quickly to production support issues and incidents, troubleshoot and fix problems, run root-cause analysis and write blameless postmortems. • Implement SOC 2 controls, including access management, encryption, patching and audit evidence. • Manage backup, disaster recovery and high-availability setups, and test them against RTO/RPO targets. • Help developers across time zones with environment setup, release coordination and troubleshooting. • Write and maintain runbooks, architecture diagrams and operational procedures. • Find manual toil and automate it. Requirements: • 3-5 years in DevOps, SRE or cloud infrastructure roles. • Hands-on production experience with at least one major cloud provider (AWS, Azure or GCP). • Strong skills with IaC tools, ideally Terraform and Terragrunt. • Experience with Docker and Kubernetes (EKS, AKS, GKE or self-managed). • Experience with CI/CD tools such as GitHub Actions, GitLab CI, Azure DevOps or Jenkins. • Scripting skills in Bash and Python, Go or PowerShell. • Solid Linux, networking (DNS, TLS, load balancing, VPC/VNet) and Git fundamentals. • Experience with observability tools such as Google Cloud Monitoring, Cloud Logging and Grafana. • Clear written and verbal communication in English, and comfort working asynchronously with a distributed team. Preferred Qualifications: • Experience supporting SOC 2, ISO 27001 or similar compliance programs. • Exposure to IoT, edge devices or real-time data streaming (MQTT, Kafka, Pub/Sub). • Familiarity with GitOps (Argo CD, Flux) and Helm. • Background in traffic, smart city or mission-critical systems. What Success Looks (First 6-12 Months): • Deployments are fully automated with a documented rollback path. • Monitoring covers SYO's critical services, with actionable alerts and fewer false pages. • You own a defined set of SOC 2 controls and their evidence collection. • Incident response time and deployment frequency both improve measurably.
Job Description Job Description DevOps Engineer Role Type: Contractor Location: Remote Job Overview We are seeking experienced DevOps Engineers to create and evaluate production-style infrastructure and automation tasks for next-generation AI systems. You will work on CI/CD, Kubernetes, infrastructure as code, Linux, and cloud environments while ensuring solutions are accurate, reproducible, and technically sound. No prior AI experience is required-your DevOps expertise and engineering judgment are what matter most. Key Responsibilities Design realistic DevOps tasks covering CI/CD, containers, Kubernetes, IaC, monitoring, and incident response . Create working reference solutions with clear setup and validation steps. Review AI-generated solutions, identify failures, and provide precise technical corrections. Maintain high standards for correctness, reliability, and reproducibility. Provide structured feedback to improve AI-generated DevOps workflows. Required Skills Kubernetes Terraform CI/CD Python Linux Docker Git Cloud Platforms Infrastructure as Code Required Qualifications 3+ years of professional experience in DevOps, SRE, Platform, or Infrastructure Engineering . Strong coding skills in Python, Go, Bash, or TypeScript . Hands-on experience with CI/CD tools such as GitHub Actions, GitLab CI, or Jenkins. Practical experience with Docker, Kubernetes, and at least one major cloud platform. Infrastructure as Code experience with Terraform, Ansible, Pulumi, or CloudFormation. Advanced Linux and Git skills. Strong written and spoken English. Availability of at least 20 hours per week . Preferred Qualifications Experience with Prometheus, Grafana, Datadog, or OpenTelemetry . Background in security, secrets management, or platform reliability. Open-source contributions or technical writing experience. Previous experience with AI training data or model evaluation.
10/31/2026
Full time
Job Description Job Description DevOps Engineer Role Type: Contractor Location: Remote Job Overview We are seeking experienced DevOps Engineers to create and evaluate production-style infrastructure and automation tasks for next-generation AI systems. You will work on CI/CD, Kubernetes, infrastructure as code, Linux, and cloud environments while ensuring solutions are accurate, reproducible, and technically sound. No prior AI experience is required-your DevOps expertise and engineering judgment are what matter most. Key Responsibilities Design realistic DevOps tasks covering CI/CD, containers, Kubernetes, IaC, monitoring, and incident response . Create working reference solutions with clear setup and validation steps. Review AI-generated solutions, identify failures, and provide precise technical corrections. Maintain high standards for correctness, reliability, and reproducibility. Provide structured feedback to improve AI-generated DevOps workflows. Required Skills Kubernetes Terraform CI/CD Python Linux Docker Git Cloud Platforms Infrastructure as Code Required Qualifications 3+ years of professional experience in DevOps, SRE, Platform, or Infrastructure Engineering . Strong coding skills in Python, Go, Bash, or TypeScript . Hands-on experience with CI/CD tools such as GitHub Actions, GitLab CI, or Jenkins. Practical experience with Docker, Kubernetes, and at least one major cloud platform. Infrastructure as Code experience with Terraform, Ansible, Pulumi, or CloudFormation. Advanced Linux and Git skills. Strong written and spoken English. Availability of at least 20 hours per week . Preferred Qualifications Experience with Prometheus, Grafana, Datadog, or OpenTelemetry . Background in security, secrets management, or platform reliability. Open-source contributions or technical writing experience. Previous experience with AI training data or model evaluation.