platform engineer

Datamatics Global Services Ltd

<div><h2 class="jobSectionHeader"><b>Role Summary</b></h2><p>
We are seeking an experienced <b>Platform Engineer</b> to design, build, automate, and manage enterprise-grade application platforms and cloud-native infrastructure. The ideal candidate will have expertise in CI/CD, containerization, Kubernetes orchestration, Infrastructure as Code (IaC), configuration management, and platform automation to enable secure, scalable, and reliable software delivery.</p><p></p><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><ul><li>
Design, build, and maintain enterprise platform infrastructure and developer platforms.</li><li>
Develop and manage CI/CD pipelines to automate application build, testing, deployment, and release processes.</li><li>
Deploy and manage containerized applications using Kubernetes and enterprise container platforms.</li><li>
Implement GitOps practices for automated application deployment and infrastructure management.</li><li>
Automate infrastructure provisioning and configuration using Infrastructure as Code (IaC) tools.</li><li>
Manage virtualization and cloud infrastructure environments.</li><li>
Monitor platform performance, availability, and reliability while implementing continuous improvements.</li><li>
Collaborate with Development, DevOps, Security, and Operations teams to deliver scalable platform solutions.</li><li>
Implement platform security, governance, backup, and disaster recovery best practices.</li><li>
Create technical documentation, operational runbooks, and deployment standards.</li></ul><p></p><h2 class="jobSectionHeader"><b>
Must-Have Skills</b></h2><ul><li>
Experience with <b>GitLab OR Jenkins</b> for CI/CD pipeline development and automation.</li><li>
Experience with <b>Argo CD</b> for GitOps-based application deployment.</li><li>
Experience with <b>SonarQube</b> for code quality and static code analysis.</li><li>
Experience with <b>Renovate Bot</b> or comparable dependency management and automation tools.</li><li>
Hands-on experience with <b>Docker OR Docker Compose</b> for containerization.</li><li>
Experience with <b>Kubernetes OR OpenShift OR Oracle Kubernetes Engine (OKE) OR Google Cloud Run</b> for container orchestration and cloud-native application deployment.</li><li>
Experience with <b>Terraform OR Ansible</b> for Infrastructure as Code (IaC) and configuration management.</li><li>
Experience with <b>VMware vCenter OR OpenStack</b> for virtualization and private cloud infrastructure.</li><li>
Strong knowledge of Linux system administration and shell scripting.</li><li>
Understanding of cloud-native architecture, networking, security, and platform engineering best practices.</li></ul><p></p><h2 class="jobSectionHeader"><b>
Good to Have</b></h2><ul><li>
Experience with <b>AWS OR Microsoft Azure OR Google Cloud Platform (GCP)</b>.</li><li>
Experience with <b>Helm OR Kustomize</b>.</li><li>
Knowledge of <b>Prometheus OR Grafana OR ELK Stack</b> for monitoring and observability.</li><li>
Experience with <b>HashiCorp Vault</b> or other secrets management solutions.</li><li>
Familiarity with <b>Python OR Go</b> for platform automation.</li><li>
Experience implementing DevSecOps practices.</li><li>
Knowledge of service mesh technologies such as <b>Istio</b> or <b>Linkerd</b>.</li></ul><p></p><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><ul><li>
Bachelor's or Master's degree in Computer Science, Information Technology, Software Engineering, or a related field.</li><li><b>
3&ndash;12+ years</b> of experience in Platform Engineering, DevOps, Cloud Infrastructure, Site Reliability Engineering (SRE), or Infrastructure Automation.</li></ul><p></p><h2 class="jobSectionHeader"><b>
Preferred Skills</b></h2><ul><li>
Experience designing and operating enterprise Kubernetes platforms.</li><li>
Strong understanding of GitOps, Infrastructure as Code, and cloud-native engineering principles.</li><li>
Experience delivering enterprise DevOps and platform modernization initiatives.</li><li>
Experience working in Agile/Scrum environments.</li><li>
Excellent communication, documentation, and stakeholder management skills.</li><li>
Ability to build secure, scalable, highly available, and automated platform solutions.</li></ul><p>
</p><p>jh9EThp8S0</p></div>

Platform Engineer

University of Chicago

<div>
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  Department
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 OPS ITS - Artificial Intelligence and Automation
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   About The Department
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 IT Services (ITS) collaborates with campus partners to support the mission of the University of Chicago through the consistent delivery of high-quality solutions and services. We provide secure, stable, and reliable infrastructure and applications that support the mission of the University. ITS supports and enables faculty research and teaching with the effective use of technology, simplifies the technology experience for all users, identifies, manages, and mitigates technology risks for the University.
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  <strong>
   Job Summary
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 The AI Platform Engineer provides the operational support of the University of Chicago&rsquo;s enterprise AI services. This position is responsible for the administration, governance support, compliance monitoring, adoption enablement, and workflow development for institutional AI platforms, beginning with Claude Enterprise.
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 This is a hands-on individual contributor role that combines enterprise platform operations with policy support and campus enablement. The position works across organizational boundaries, coordinating with the CISO&rsquo;s office, the Chief Privacy Officer, General Counsel, and academic units to ensure AI services are secure, governed, and delivering institutional value. The role is designed to scale with Claude adoption and the University&rsquo;s AI portfolio. As new AI tools and capabilities emerge, this position supports the institutional intake process for evaluation, governance alignment, and operational integration.
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   Responsibilities
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   Administers Claude Enterprise: SCIM provisioning lifecycle (onboarding, offboarding, role changes), connector management, feature flag decisions, admin console configuration, and SSO/IdP maintenance.
  </li>
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   Integrates and operates the Compliance API and audit log exports, including connection to the institutional SIEM where applicable.
  </li>
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   Monitors platform health, tracks Anthropic&rsquo;s status page and changelog, and evaluates new features and connectors for governance implications before campus enablement.
  </li>
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   Serves as the Tier 2/3 escalation point for AI platform issues beyond the help desk&rsquo;s scope.
  </li>
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   Supports the operational relationship with Anthropic&rsquo;s Technical Account Manager, including quarterly reviews, feature requests, and incident escalation.
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   Produces monthly adoption reporting (MAU, connector usage, training completion, support volume) and maintains dashboards for leadership.
  </li>
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   Supports the faculty governance groups to provide input from the implementation effort and operations, such as prepare meeting materials, track written-response obligations, and process policy recommendations.
  </li>
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   Supports the institutional intake process for Claude and other AI tool requests (should we buy X?), working with IT Risk to review proposed tools against the governance framework.
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   Maintains the shadow AI spend dashboard and tracks whether the consolidation thesis is delivering projected outcomes.
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   Coordinates with the CISO and Chief Privacy Officer on compliance questions triggered by new AI features, regulatory changes, or platform incidents.
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   Monitors peer institution AI governance developments, state and federal AI legislation, and regulatory guidance relevant to higher education, including FERPA, HIPAA, GLBA,and export controls.
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   Works with the leaders of the training and enablement programs to develop, review and refresh content.
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   Facilitates office hours (faculty and staff sessions) with other support personnel and coordinates Anthropic TAM participation in regular sessions.
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   Works with University Communications to curate and grow the institutional use case library with department-specific examples, prompt templates, and before/after comparisons.
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   Supports the champions network lifecycle through recruitment, engagement, feedback collection, and cohort rotation.
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   Produces new-feature rollout communications when Anthropic releases capabilities that change product features or user workflows.
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   Builds AI-enabled workflows and integrations for campus units using Claude Projects, MCP connectors, and API integrations to solve real operational problems.
  </li>
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   Prototypes and evaluates emerging capabilities (agentic workflows, Claude Code, new connector surfaces) for institutional applicability.
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   Partners with departmental stakeholders to identify high-value automation opportunities, and translates them into working solutions.
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   Documents workflow patterns and references architectures for campus reuse.
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   Collaborates with device management teams to effectively manage Claude application deployment and management for campus users.
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   Investigates, analyzes and resolves day-to-day technical problems using standard procedures.
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   Works with stakeholders to gather and analyze requirements for developmental programs. Receives a moderate level of guidance to design applications to meet University and business requirements.
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   Performs other related work as needed.
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   Education:
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  Minimum Qualifications
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 Minimum requirements include a college or university degree in related field.
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   Work Experience:
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 Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline.
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   Certifications:
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  Preferred Qualifications
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   Education:
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 <ul>
  <li>
   Bachelor&rsquo;s degree in information technology, computer science, information science, public policy, or a related field.
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  </li>
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   Experience:
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  <li>
   2&ndash;5 years of professional experience in IT operations, platform management, IT governance, or a comparable role that combined technical and policy work.
  </li>
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   Background drafting or contributing to policy documents, guidance materials, or governance frameworks in a professional setting.
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   Background in higher education IT, academic administration, or a similarly decentralized institutional environment.
   <br/>
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   Technical Skills Or Knowledge:
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   Demonstrated ability to learn enterprise SaaS administration (SSO, SCIM, API integrations, admin consoles) through structured onboarding. Direct prior experience is not required; technical aptitude and a track record of learning complex systems quickly.
  </li>
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   Familiarity with data governance and compliance frameworks relevant to higher education, including FERPA, HIPAA, GLBA, and export controls.
  </li>
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   Proficient in enterprise AI platforms, such as Claude, ChatGPT Enterprise, Microsoft Copilot, or comparable, as an administrator or power user.
  </li>
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   Proficient in identity and access management systems, for example Shibboleth, Entra ID, Okta, or comparable platforms.
  </li>
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   Familiarity with API integration, scripting, or workflow automation tools.
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  </li>
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   Preferred Competencies
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   Strong written communication skills to produce clear guidance documents, meeting materials, and status reports for both technical and non-technical audiences.
  </li>
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   Work across organizational boundaries in a decentralized environment, coordinating with stakeholders who do not report to you.
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   Comfortable operating with a moderate level of guidance and direction, with the judgment to escalate complex issues to senior staff as needed.
  </li>
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   Work with governance committees, advisory boards, or cross-functional working groups.
  </li>
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   The AI landscape is changing rapidly. This role requires a disposition toward continuous learning and comfort with ambiguity. The platforms, policies, and best practices this person manages will change materially year over year.
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  Working Conditions
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   Hybrid, onsite and remote work as determined by business needs.
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   This position reports to the Office of Chief Technology Officer. The CTO provides escalation authority for cross-institutional coordination, such as CISO, General Counsel, Privacy Officer, and academic units.
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   The role is structured with an intensive onboarding period during the initial platform deployment, approximately nine months, during which the engineer will shadow existing IAM and enterprise systems staff to learn platform-specific administration. The workload composition shifts from deployment-heavy to operations-and-development as the platform matures.
   <br/>
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  </li>
 </ul>
 <strong>
  Application Documents
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   Resume/CV (required)
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   Cover Letter (required)
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   References Contact Information (3)(required)
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   <br/>
  </li>
 </ul>
 The University of Chicago uses AI-assisted tools to streamline and augment some recruitment processes; however, AI is not used to make hiring decisions.
 <br/>
 <br/>
 When applying, the document(s)
 <strong>
  MUST
 </strong>
 be uploaded via the
 <strong>
  My Experience
 </strong>
 page, in the section titled
 <strong>
  Application Documents
 </strong>
 of the application.
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  Job Family
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 Information Technology
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  Role Impact
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 Individual Contributor
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  Scheduled
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  Weekly Hours
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 37.5
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  <strong>
   Drug Test Required
   <br/>
   <br/>
  </strong>
 </strong>
 No
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  <strong>
   Health Screen Required
   <br/>
   <br/>
  </strong>
 </strong>
 No
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 <strong>
  <strong>
   Motor Vehicle Record Inquiry Required
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  </strong>
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 No
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  Pay Rate Type
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 Salary
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  FLSA Status
  <br/>
  <br/>
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 Exempt
 <br/>
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 <strong>
  Pay Range
  <br/>
  <br/>
 </strong>
 $120,000.00 - $135,000.00
 <br/>
 <br/>
 The included pay rate or range represents the University&rsquo;s good faith estimate of the possible compensation offer for this role at the time of posting.
 <br/>
 <br/>
 <strong>
  <strong>
   Benefits Eligible
   <br/>
   <br/>
  </strong>
 </strong>
 Yes
 <br/>
 <br/>
 The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.
 <br/>
 <br/>
 <strong>
  Posting Statement
  <br/>
  <br/>
 </strong>
 The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.
 <br/>
 <br/>
 Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.
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 <br/>
 All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.
 <br/>
 <br/>
 The University of Chicago's Annual Security &amp; Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http://securityreport.uchicago.edu. Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.
</div>


AI Platform Engineer

Vivacity Tech PBC

<div><p>The DevOps / Platform Engineer is responsible for managing and optimizing cloud-based infrastructure, with a strong focus on Google Cloud Platform (GCP). This role ensures the reliability, security, and scalability of systems that support business operations. This individual will proactively monitor environments, troubleshoot issues, and collaborate across teams to implement and maintain efficient, cloud-first solutions. This individual will play a key role in supporting multi-tenant systems, ensuring proper data isolation, security boundaries, and scalability across shared and tenant-specific resources.</p><p><b>
What We Offer</b></p><ul><li>
Competitive salary up to $125,000</li><li>
401(k) with generous company match and immediate vesting</li><li>
Medical, Dental, Vision &amp; Voluntary Benefits</li><li>
Company-paid Short-Term Disability, Long-Term Disability, and Life Insurance</li><li>
Non-Accrued Paid Time Off (PTO) policy providing flexibility and work-life balance</li><li>
80 hours of paid Sick Time annually</li><li>
10 paid holidays per year</li><li>
96 paid volunteer hours annually to support causes you care about</li><li>
$1,000 annual Development Reimbursement for continued learning and growth</li><li>
Paid Parental Leave to support growing families</li><li>
Award-winning workplace culture and supportive team environment</li><li>
Opportunities for growth and recognition in a mission-driven organization</li><li>
Employee discounts and additional voluntary benefits including pet insurance, legal insurance, and more</li></ul><p><b>
Essential Functions</b></p><ul><li>
Administers and manages cloud infrastructure within Google Cloud Platform (GCP), including compute, storage, networking, and IAM</li><li>
Provisions, configures, and maintains cloud resources using infrastructure-as-code and automation tools</li><li>
Monitors system performance, availability, and cost efficiency across cloud environments</li><li>
Implements and enforces security best practices, including identity management, access controls, and compliance standards (e.g., SOC 2)</li><li>
Manages backups, disaster recovery strategies, and business continuity processes within cloud environments</li><li>
Collaborates with engineering teams to support application deployments and optimize system performance</li><li>
Troubleshoots and resolves system and application-level issues in a timely manner</li><li>
Maintains and improves CI/CD pipelines and deployment processes with tools like Github Actions in collaboration with development teams</li><li>
Analyzes system usage and recommends scaling strategies to ensure performance and cost optimization</li><li>
Documents system configurations, processes, and procedures to ensure clarity and consistency</li><li>
Supports incident response efforts and participates in root cause analysis</li><li>
Provides on-call support to meet service level objectives and ensure system uptime</li><li>
Designs and supports multi-tenant architectures, including data isolation strategies, sharding approaches, and tenant-aware resource management</li><li>
Implements tenant-level monitoring, alerting, and observability to ensure performance and reliability across environments</li><li>
Continuously evaluates and implements new tools and technologies to improve system reliability and efficiency</li><li>
Perform other duties as assigned</li></ul><p><b>
Knowledge, Skills &amp; Abilities</b></p><ul><li>
Knowledge of cloud security principles, IAM roles, and access control models</li><li>
Familiarity with containerization technologies (Docker) and orchestration tools (Kubernetes/GKE)</li><li>
Strong troubleshooting and problem-solving skills across distributed systems</li><li>
Understanding of networking concepts (TCP/IP, DNS, load balancing, firewalls) in cloud environments</li><li>
Proficiency with scripting (e.g., Python, Bash) for automation tasks</li><li>
Excellent verbal and written communication skills</li><li>
Strong organizational skills and attention to detail</li><li>
Ability to manage multiple priorities and work independently in a fast-paced environment</li></ul><p><b>
Values</b></p><ul><li>
Carry passion.</li><li>
Desire excellence.</li><li>
Keep dreaming.</li><li>
Build community.</li><li><b>
Be Vivacious.</b></li></ul><p><b>
Education &amp; Experience</b></p><ul><li>
Bachelor&rsquo;s degree in Computer Science, Information Systems, Engineering, or related field</li><li>
Minimum 5-7 years of relevant experience required</li><li>
1&ndash;2 years of experience in a cloud infrastructure or DevOps role</li><li>
Strong experience with Google Cloud Platform (GCP), including services such as Compute Engine, Cloud Run, Cloud Storage, and VPC networking</li><li>
Proficiency with Infrastructure as Code tools (e.g., Terraform) and automation practices</li><li>
Hands-on experience supporting CI/CD workflows and modern deployment practices</li><li>
Experience with monitoring and logging tools (e.g., Cloud Monitoring, Cloud Logging)</li><li>
Google Cloud certifications (e.g., Associate Cloud Engineer, Professional Cloud Architect) preferred</li></ul><p><b>
Additional Requirements</b></p><ul><li>
Prolonged periods of sitting or standing at a desk and working on a computer</li></ul></div>

DevOps / Platform Engineer

General Dynamics Information Technology

<div></div><div><div><div>Clearance Level
<div>Secret</div>
</div><div></div><div>Category
<div>Software Engineering</div>
</div><div></div><div>Locations
<div>Remote, Working from the USA
<br>
Remote, Based in District of Columbia
<br>
Remote, Based in Maryland
</div></div><div>
</div></div><div><div>Key Skills For Success
</div><div><p>Containerization Software</p>
</div><div><p>GitLab CI/CD</p>
</div><div><p>Kubernetes Orchestration</p>
</div><div><p>Software Delivery</p>
</div></div><div></div><div><div><div><div><div><div>
</div></div></div><div><h5 class="jobSectionHeader"><b>REQ#:</b><b> </b><b>RQ222176</b></h5>
<h5 class="jobSectionHeader"><b>Public Trust:</b><b> </b><b>None</b></h5>
<h5 class="jobSectionHeader"><b>Requisition Type:</b><b> </b><b>Regular</b></h5>
<h5 class="jobSectionHeader"><b>Your Impact</b></h5>
<p>Own your opportunity to support our nation's defense. Make an impact by connecting and securing critical operations across the globe, keeping our country safe and secure.</p>
<h2 class="jobSectionHeader"><b>Job Description</b></h2>
<div><p><b>Principal DevSecOps / Platform Engineer</b><br>
<br>
</p><p>We are seeking a developer-focused DevSecOps engineer to join a high-performing team building and operating software factories, security automation platforms, and AI-enabled development environments for Department of Defense and Federal customers. This role emphasizes hands-on software development within a DevSecOps context - you will write production code, build tooling, and develop applications, not just configure pipelines.</p>
<p></p><p>The team supports multiple concurrent internal R&amp;D efforts and customer delivery engagements across defense and federal programs. You will contribute to a range of workstreams including agentic AI application development, software factory platform enhancements, security and compliance automation, and secure software delivery for classified environments.</p>
<p></p><p><b>MEANINGFUL WORK AND PERSONAL IMPACT</b></p>
<ul><li><p>Work across a broad portfolio rather than a single narrow program - variety and exposure to cutting-edge problems in government software delivery</p>
</li><li><p>Significant investment in AI, automation, and modern platform engineering - not legacy maintenance</p>
</li><li><p>Small, senior team where individual contributions have outsized impact</p>
</li><li><p>Opportunity to shape how the our customers' missions are built and delivered using secure software at scale</p>
</li><li><p>Exposure to Growth activities (proposals, customer engagements) for engineers who want to develop business acumen alongside technical depth</p>
</li></ul><p></p><p><b>KEY RESPONSIBILITIES</b></p>
<p><b>DevSecOps Engineering - Primary Focus</b></p>
<p>Utilize AI-assisted Development tools and frameworks to:</p>
<ul><li><p>Design, develop, and maintain CI/CD pipelines for build, test, security scanning, and release across unclassified and classified environments</p>
</li><li><p>Integrate and operate security scanning toolchains (SAST, SCA, container scanning, SBOM generation) as automated pipeline stages</p>
</li><li><p>Use AI-assisted development workflows daily &mdash; code generation, automated testing, intelligent code review, and documentation &mdash; and champion their adoption across teams</p>
</li><li><p>Contribute to the development of agentic AI capabilities including tool orchestration, prompt engineering, and workflow automation</p>
</li><li><p>Build tooling and automation to support continuous Authority to Operate (cATO) processes, including automated evidence collection, compliance reporting, and policy enforcement</p>
</li><li><p>Develop and maintain hardening pipeline templates that product teams consume for secure-by-default software delivery</p>
</li><li><p>Support platform's security pipeline layer &mdash; build, test, and release process for software packages that include both application code and runtime platform components</p>
</li><li><p>Implement and enforce software supply chain security controls (signing, provenance, artifact integrity)</p>
</li><li><p>Troubleshoot build and deployment failures, support development teams consuming shared pipeline services</p>
</li></ul><p></p><p><b>Platform Engineering</b></p>
<ul><li><p>Deploy and operate Kubernetes clusters (Big Bang / Iron Bank baseline) in classified (CUI/IL5) environments</p>
</li><li><p>Deploy, configure, and support AI-powered development tools (GitLab Duo, LLM-based code assistants, agentic AI frameworks) for platform consumers and internal team use</p>
</li><li><p>Support AI/ML platform infrastructure (model serving, GPU workloads, data pipelines) as part of the broader platform offering</p>
</li><li><p>Stand up and maintain shared platform services: Harbor (container registry), Nexus (artifact repository), Vault (secrets management), ArgoCD (GitOps deployment)</p>
</li><li><p>Implement Infrastructure-as-Code for environment provisioning, cluster lifecycle, and configuration management (Terraform, Ansible)</p>
</li><li><p>Support multi-cluster management and hub/spoke deployment models &mdash; build in shared services, deploy into downstream accounts</p>
</li><li><p>Configure and troubleshoot network connectivity, Zscaler integration, and Okta/SAML identity federation for platform consumers</p>
</li><li><p>Contribute to platform evolution including self-service namespaces, developer onboarding, and golden-path templates</p>
</li><li><p>Maintain and improve multiple production software factory environments serving diverse federal customers</p>
</li><li><p>Contribute to runbooks, operational documentation, and incident response procedures</p>
</li></ul><p></p><div><b>WHAT YOU&rsquo;LL NEED TO SUCCEED - REQUIRED SKILLS</b>
<br>
Bring your engineering expertise along with a drive for innovation to GDIT. The DevOps Engineer Principal must have:
<ul><li>Education: Bachelor's degree and 8+ years experience. In lieu of degree 12+ years of hands-on experience
</li><li>Experience: 5+ years of related experience in Software Engineering, DevOps / DevSecOps technologies; 3+ years of hands on experience with Kubernetes</li></ul></div>
<ul><li><p>Experience using AI-powered development tools (code assistants, LLM-based tooling, AI-augmented workflows) in daily engineering work &mdash; and enthusiasm for pushing their adoption forward</p>
</li><li><p>Hands-on experience with CI/CD pipeline development &mdash; GitLab CI strongly preferred; Jenkins, GitHub Actions, or similar accepted</p>
</li><li><p>Experience integrating security scanning tools into automated pipelines (SAST, DAST, SCA, container image scanning)</p>
</li><li><p>Proficiency with Infrastructure as Code (Terraform and/or Ansible)</p>
</li><li><p>Experience with containerization (Docker, Helm, OCI artifacts) and container registry management</p>
</li><li><p>Strong Linux systems skills &mdash; administration, shell scripting, troubleshooting</p>
</li><li><p>Solid understanding of Git-based workflows, branching strategies, and GitOps deployment patterns</p>
</li><li><p>Experience working in or deploying to classified or air-gapped environments</p>
</li><li><p>Ability to work across multiple concurrent projects with shifting priorities</p>
</li><li><p>Strong written and verbal communication skills</p>
</li><li><p><b>Security clearance level</b>: Secret Clearance required to start</p>
</li><li><p><b>Location</b>: Remote with travel up to 10%</p>
</li><li><p><b>Citizenship:</b> US Citizenship</p>
</li></ul><p></p><p><b>PREFERRED QUALIFICATIONS</b></p>
<ul><li><p>Experience with Platform One / Big Bang, Iron Bank baselines, or DoW-hardened Kubernetes distributions</p>
</li><li><p>Familiarity with DoW security and authorization frameworks (NIST 800-53, RMF, cATO, software factory authorization patterns)</p>
</li><li><p>Knowledge of software supply chain security practices &mdash; artifact signing, attestation, and SBOM generation (e.g., Sigstore/Cosign, Syft, in-toto)</p>
</li><li><p>Experience deploying or operating AI/ML infrastructure or AI development platforms in enterprise or air-gapped environments (model serving, GPU scheduling on K8s, enterprise code-assistant rollout)</p>
</li><li><p>Experience supporting growth activities &mdash; contributing to proposals, RFI responses, or technical briefings, and engaging customers as a technical SME</p><br>
</li></ul><div><br>
<b>GDIT IS YOUR PLACE</b>
<br>
At GDIT, the mission is our purpose, and our people are at the center of everything we do.
<ul><li>Growth: AI-powered career tool that identifies career steps and learning opportunities
</li><li>Support: An internal mobility team focused on helping you achieve your career goals
</li><li>Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
</li><li>Community: Award-winning culture of innovation and a military-friendly workplace
</li></ul><br>
<b>OWN YOUR OPPORTUNITY</b>
<br>
Explore a career in software development at GDIT and you&rsquo;ll find endless opportunities to grow alongside colleagues who share your dedication to advancing innovation.
</div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Work Requirements</b></h3>
</div></div><div></div><div><div>Years of Experience
<p>8 + years of related experience</p>
<ul><li>may vary based on technical training, certification(s), <b><i>or</i></b> degree</li></ul>
</div><div></div><div>Certification
</div><p></p><div>Travel Required
<p>Less than 10%</p>
</div><div></div><div>Citizenship
<p>U.S. Citizenship Required</p>
</div></div></div></div><div><h3 class="jobSectionHeader"><b>Salary and Benefit Information</b></h3>
<p>The likely salary range for this position is $113,900 - $154,100. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
</p>
<h3 class="jobSectionHeader"><b>Our Identity Verification Process</b></h3>
<p>As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.</p>
<h3 class="jobSectionHeader"><b>About Our Work</b></h3>
<div></div><p>We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.</p>
<p>Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.</p>
<p><i>Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans</i></p></div></div></div></div>

Principal DevSecOps / Platform Engineer

Huron Consulting Group

<div><p>Huron is redefining what a global consulting organization can be. Advancing new ideas every day to build even stronger clients, individuals and communities. We&rsquo;re helping our clients find new ways to drive growth, enhance business performance and sustain leadership in the markets they serve. And, we&rsquo;re developing strategies and implementing solutions that enable the transformative change they need to own their future.<br>
<br>
As a member of the Huron corporate team, you&rsquo;ll help to evolve our business model to stay ahead of market forces, industry trends and client needs. Our accounting, finance, human resources, IT, legal, marketing and facilities management professionals work collaboratively to support Huron&rsquo;s collective strategies and enable real transformation to produce sustainable business results.<br>
<br>
Join our team and create your future.</p><p></p>
This person is a shared engineer who builds and runs the platform every pod reuses: the pipelines, testing, deployment and monitoring, plus reusable building blocks so each new pod starts further ahead.<p></p><h1 class="jobSectionHeader"><b>
Key Responsibilities</b></h1><ul><li><p><b>
Build and run the pipelines. </b>CI/CD with automated testing across the pods.</p></li><li><p><b>
Provision the environments. </b>Set up and run the environments the pods build in.</p></li><li><p><b>
Deploy and monitor. </b>The models and agents the pods put into production.</p></li><li><p><b>
Set the standards. </b>Technical and security standards every pod builds to.</p></li><li><p><b>
Build reusable parts. </b>So each new pod starts further ahead than the last.</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
Preferred Qualifications</b></h1><ul><li><p>
Building internal developer platforms.</p></li><li><p>
AI testing and monitoring in production.</p></li><li><p>
Healthcare or higher education with data-security awareness (HIPAA, FERPA).</p></li><li><p>
AWS Machine Learning or DevOps, Azure AI-102, or Kubernetes (CKA).</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
General Required Skills</b></h1><ul><li><p>
5 to 8 years in ML or AI platform work or MLOps, including 1 to 2 years leading.</p></li><li><p>
Hands-on running AI systems in production.</p></li><li><p>
AWS and Azure, Docker, Kubernetes, infrastructure as code.</p></li><li><p>
Strong Python.</p></li><li><p>
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.</p></li></ul><p></p><p>
The estimated base salary for this job is $140,000 - $170,000 USD. The range represents a good faith estimate of the range that Huron reasonably expects to pay for this job at the time of the job posting. The actual salary paid to an individual will vary based on multiple factors, including but not limited to specific skills or certifications, years of experience, market changes, and required travel. This job is also eligible to participate in Huron&rsquo;s annual incentive compensation program, which reflects Huron&rsquo;s pay for performance philosophy. Inclusive of annual incentive compensation opportunity, the total estimated compensation range for this job is $161,000 - $218,750 USD. The job is also eligible to participate in Huron&rsquo;s benefit plans which include medical, dental and vision coverage and other wellness programs. The salary range information provided is in accordance with applicable state and local laws regarding salary transparency that are currently in effect and may be implemented in the future.</p><p></p><p>
#LI-REMOTE</p><p>
#LI-CL1</p><p></p><h2 class="jobSectionHeader"><b>
Position Level</b></h2>
Manager<p></p><h2 class="jobSectionHeader"><b>
Country</b></h2>
United States of America</div>

Platform Engineer, AI Capability Center Hub

Peraton

<div><div><h5 class="jobSectionHeader"><b>About Peraton</b></h5>
<p>Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world&rsquo;s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees solve the most daunting challenges that our customers face. Visit peraton.com to learn how we&rsquo;re keeping people around the world safe and secure.</p>
</div><div><h5 class="jobSectionHeader"><b>Program Overview</b></h5>
<div>RDG (Risk Decision Group) provides nationwide background investigations compliant with national government standards to include support of continuous vetting for over 110 government agencies.</div>
</div><div><h5 class="jobSectionHeader"><b>About The Role</b></h5>
<div><p>Peraton is hiring a <b>Data Architecture, Lead Associate.</b> This work is <b>100% remote.</b></p><br>
<p></p><p>This role builds and extends a greenfield data and AI platform supporting federal background investigation work. Working alongside the platform's lead engineer, you'll develop and maintain the pipelines, transformations, and data products that move the platform forward &mdash; growing your ownership as the platform matures. This is hands-on engineering in a high-trust environment where FedRAMP Moderate, NIST 800-171, and CUI handling shape how the work is built.</p>
<p>Active clearance preferred; candidates able to obtain one encouraged to apply.</p>
<ul><li>Build, test, and maintain data ingestion, transformation, and pipeline code that turns raw and synthetic data into governed, analysis-ready data products.</li>
<li>Extend the platform following the architecture, patterns, and standards set by the lead platform engineer.</li>
<li>Contribute to infrastructure-as-code (Terraform) and CI/CD pipelines that promote work into the accredited production environment.</li>
<li>Monitor data quality, pipeline reliability, and performance; troubleshoot and resolve issues.</li>
<li>Apply data governance, cataloging, and access-control practices within the established framework.</li>
<li>Support the data science and ML team by delivering the governed datasets and tooling they need.</li>
<li>Operate within FedRAMP Moderate, NIST 800-171, and CUI constraints in day-to-day engineering.</li>
<li>Collaborate closely with the engineering team and maintain clear documentation of pipelines and processes.</li>
</ul></div></div><div><h5 class="jobSectionHeader"><b>Qualifications</b></h5>
<div><p><b>Required Qualifications</b></p>
<ul><li>U.S. Citizenship required.</li>
<li>Must be able to obtain and maintain a T5/SSBI federally adjudicated clearance; active clearance preferred.</li>
<li>4 years building and maintaining production data pipelines.</li>
<li>Strong proficiency in Python and SQL.</li>
<li>Hands-on ETL / data pipeline development and sound analytical data modeling.</li>
<li>Working familiarity with cloud data platforms (Azure preferred; AWS or GCP fine) and version control / CI/CD workflows.</li>
<li>Solid analytical, troubleshooting, and communication skills.</li>
<li>5 years work experience with BS/BA</li>
</ul><p><b>Preferred Qualifications</b></p>
<ul><li>Databricks experience (or a comparable lakehouse stack: Spark, Delta, dbt, Snowflake).</li>
<li>Exposure to infrastructure-as-code (Terraform) and CI/CD for data workloads.</li>
<li>Experience in regulated or accredited environments: FedRAMP, NIST 800-171, CMMC, or CUI handling.</li>
<li>Active security clearance (T5/SSBI or higher).</li>
<li>Government or defense contracting experience.</li>
<li>Familiarity with data governance / cataloging tooling (e.g., Unity</li>
<li>Catalog) and orchestration tools (Airflow, dbt).</li>
</ul><p><b>Soft Skills</b></p>
<ul><li>Dependable, self-directed execution with minimal oversight.</li>
<li>Strong collaboration across technical and non-technical teams.</li>
<li>Clear documentation and knowledge-sharing.</li>
<li>Eagerness to grow ownership and learn the compliance environment.</li>
</ul><p>#RDG</p>
</div></div><div><h5 class="jobSectionHeader"><b>Details</b></h5>
<div><p><b>Target Salary Range:</b> $112,000 - $179,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual&rsquo;s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.</p>
</div><div><p><b>Benefits Statement:</b> Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.</p>
</div><div><p><b>Application Statements:</b> The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. By applying to this job, you are expressing interest in the role and the Company. During the review of your application, you may be required to participate in an on-camera interview, as well as participate in a process to verify your identity.</p>
</div><p><b>EEO:</b> Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.</p></div></div><div></div>

Senior Data Platform Engineer

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
</p><p>The Chief Data &amp; Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.</p><p>
As a Software Engineer at JPMorgan Chase within the Chief Data Analytics Office - AIML Data Platforms Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.</p><p><b>
Job responsibilities</b></p><ul><li>
Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems</li><li>
Solves the companies most challenging cloud data platform problems by building innovative technical solutions around Data Lake tools</li><li>
Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture</li><li>
Designs, implements, and maintains a managed AWS Databricks platform, and provides engineering and operational support for the platform to SRE and app teams.</li><li>
Performs platform design, set-up and configuration, workspace administration, resource monitoring, providing engineering support to data engineering teams, Data Science/ML, and Application/integration teams.</li><li>
Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards.</li><li><p>
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation</p><p>
</p></li></ul><p><b>Required qualifications, capabilities, and skills</b></p><ul><li>
Formal training or certification on software engineering concepts and 2+ years applied experience</li><li>
Hands-on practical experience in system design, application development, testing, and operational stability</li><li>
Hands-on experience with Python and/or Java application program development with use of automated unit testing</li><li>
Hands-on experience with AWS services including provisioning infrastructure using automated tools</li><li>
Hands-on experience with GitHub / Bitbucket code versioning tool, Jenkins build tool and pypi / maven artifactory integrations</li><li>
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages</li><li>
Knowledge of Big Data distributed compute frameworks like Spark and Terraform</li><li>
Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs.</li><li>
Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations.</li></ul><p>
</p><p><b>Preferred qualifications, capabilities, and skills</b></p><ul><li>
Hands-on experience with Big Data Spark Data Pipeline development</li><li>
Hands-on experience with Terraform Enterprise Infrastructure provisioning</li><li>
Hands-on experience with Databricks</li><li>
Knowledge about Platform Administration, Monitoring and Resiliency</li></ul>
<b>ABOUT US</b><br>
<br>
<br>
<div><div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><p></p><div><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><div><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b>
<br>
<br>
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.</div>

Software Engineer II - Platform Engineer/Databricks

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