Job#: 3029052 Job Description: DevOps Engineer - AI Projects
Location: Spring, Texas (On-site)
Employment Type: Contract
Role Overview
We are seeking a DevOps Engineer to support a multi-workstream AI program, enabling rapid, reliable, and secure delivery of AI/ML applications and services. This role is dedicated to AI projects spanning experimentation through productionization. The engineer will build and operate CI/CD pipelines, cloud infrastructure, and runtime environments tailored for data-intensive and model-driven workloads, partnering with product teams and data scientists.
Key Responsibilities
- Design, implement, and maintain CI/CD pipelines for applications, platforms, APIs, batch jobs, and data pipelines.
- Automate model build, test, and deployment steps, including packaging and version management.
- Provision and manage cloud resources (compute, networking, storage) for AI workloads using Infrastructure as Code (IaC) like Terraform and Bicep.
- Build and optimize containerized services and deployments using Docker on platforms such as OpenShift or AKS, implementing autoscaling and resiliency.
- Establish monitoring, logging, and tracing for platform services to ensure application, model, and data pipeline health.
- Integrate security controls into CI/CD pipelines, including automated scanning, secrets management, and vulnerability identification.
- Partner with Data Scientists and ML Engineers to streamline the model lifecycle from experimentation to production.
- Create documentation, runbooks, and reusable templates to share DevOps best practices with teams.
Required Qualifications
- 3-5+ years in DevOps or Platform Engineering, including production support.
- Extensive experience with Windows Server administration and troubleshooting; Linux server experience is a plus.
- Hands-on experience with CI/CD tooling such as Azure DevOps, GitHub Actions, or Ansible.
- Strong proficiency in cloud platforms (Azure, AWS), including networking, identity, and storage.
- Proficiency in Infrastructure as Code (IaC), with Terraform as the main tool.
- Solid scripting and automation skills (PowerShell; Python is a plus).
- Experience with Docker and Kubernetes, including deployment patterns, scaling, and operational hardening.
- Experience implementing monitoring, observability, and alerting with tools like Datadog, Azure Monitor, or AppInsights.
- Demonstrated experience with security practices in pipelines and runtime (e.g., JFrog, secrets management, RBAC).
Preferred Qualifications
- Experience operating AI/ML workloads, including model packaging, artifact registries, and controlled rollouts.
- Familiarity with ML toolchains such as MLflow or Azure ML.
- Awareness of data engineering concepts like batch/streaming pipelines and data quality.
- Experience with GPU-aware deployments and cost/performance tuning for training environments.
- Experience working in highly regulated or enterprise environments.
Work Environment
- Core collaboration hours are aligned with the Central Time Zone.
- Work within Agile teams and methodologies (Scrum).
- Embrace a culture of transparency, accountability, and continuous improvement.
This employer is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Apex uses a virtual recruiter as part of the application process. Click for more details.
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Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Apex uses a virtual recruiter as part of the application process. Click for more details.
Apex Benefits Overview: Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Apex team member can provide.
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