DevOps Engineer
- Pay Rate: $70.00 – $75.00/hour on W2
- Contract Length: 12 months
- Location: Spring, TX 77389 (Onsite)
Raise is currently hiring a contract team member on behalf of our client. They’re expanding their team to meet growing needs, making this a unique opportunity to work with an industry leader.
Overview
- We are seeking a DevOps Engineer to support a high impact, multi‑workstream AI program focused entirely on enabling the rapid, reliable, and secure delivery of AI/ML applications and services.
- This role is 100% dedicated to AI initiatives, spanning early experimentation through full productionization.
- You’ll build and operate the CI/CD pipelines, cloud infrastructure, and runtime platforms that power data‑intensive and model‑driven workloads.
- Working closely with HPCSIT Product teams, Data Engineers, and Data Scientists, you’ll help streamline the full AI model lifecycle and ensure enterprise-grade reliability, security, and scalability.
- This is an excellent opportunity for a DevOps professional eager to work at the intersection of cloud, automation, and AI delivery.
Responsibilities
- Platform & CI/CD Pipelines
- Design, implement, and maintain CI/CD pipelines for applications, platforms, APIs, batch jobs, and data pipelines.
- Automate model build, test, packaging, versioning, and deployment workflows across dev, test, and production environments.
- Establish repeatable deployment patterns that support fast iteration and reliable promotion across environments.
- Cloud & Infrastructure
- Provision and manage cloud infrastructure (compute, networking, storage) optimized for AI workloads, including batch, containerized, and serverless runtimes.
- Implement Infrastructure as Code (IaC) using Terraform (primary) and/or Bicep.
- Design and support environment promotion strategies aligned with enterprise standards.
- Containers & Orchestration
- Build, deploy, and optimize containerized services using Docker.
- Operate workloads on managed container platforms such as OpenShift and AKS.
- Implement autoscaling, resiliency, and operational hardening best practices.
- Observability & Reliability
- Establish and maintain monitoring, logging, and tracing across applications, models, and data pipelines.
- Proactively troubleshoot platform, pipeline, and runtime issues using tools such as Datadog, Azure Monitor, and Application Insights.
- Drive high availability and performance across AI services.
- Security, Compliance & Governance
- Embed security controls into CI/CD pipelines, including automated scanning, CodeQL, secrets management, and vulnerability detection.
- Implement RBAC, secrets management, and data protection controls aligned with enterprise security and compliance standards.
- Support auditability across code, pipelines, and runtime environments.
- Collaboration & Enablement
- Partner with Data Scientists and ML Engineers to streamline the AI/ML lifecycle from experimentation to production.
- Create and maintain documentation, runbooks, reusable templates, and reference architectures.
- Enable teams by sharing best practices for DevOps, platform usage, and AI delivery.
Required Qualifications
- 3–5+ years of experience in DevOps or Platform Engineering, including production support.
- Strong experience with Windows Server administration and troubleshooting; Linux experience is a plus.
- Hands-on expertise with CI/CD tooling such as Azure DevOps, GitHub Actions, and Ansible.
- Solid experience with cloud platforms (Azure and AWS), including networking, identity, and storage.
- Deep proficiency with Infrastructure as Code, with Terraform as the primary tooling.
- Strong scripting and automation skills (PowerShell required; Python a plus).
- Hands-on experience with Docker and Kubernetes, including deployments, scaling, upgrades, and operational hardening.
- Experience implementing monitoring, observability, and alerting solutions (e.g., Datadog, Azure Monitor, App Insights).
- Strong understanding of cost governance, resource design, and platform architecture best practices.
- Proven implementation of security best practices across pipelines and runtime environments (e.g., JFrog, RBAC, secrets).
- Excellent communication skills with the ability to collaborate across product, data, security, and architecture teams.
Preferred Qualifications
- Experience operating AI/ML workloads, including:Model packaging
- Artifact registries
- Model versioning
- Controlled and staged rollouts
- Familiarity with ML platforms and toolchains (e.g., MLflow, Azure ML, or equivalent frameworks).
- Data engineering awareness, including batch and streaming pipelines, data quality, schema, and version management.
- GPU-aware deployments and cost/performance tuning for inference and training environments.
- Experience working in highly regulated or large enterprise environments.
Ways of Working
- Core collaboration hours aligned to Houston / Central Time preferred.
- Operate within Agile teams and methodologies (Scrum, stand-ups, sprint planning).
- Participate in daily and weekly ceremonies and be available during critical delivery windows.
- Embrace a culture of transparency, accountability, and continuous improvement.
Success Measures
- Reduced lead time for changes and faster, more reliable model-to-production cycles.
- High service availability, scalability, and performance.
- Strong security posture and auditability across platforms, pipelines, and runtime.
- Positive feedback from Architects, Data Science, Product, and Security stakeholders.
Top 3 Skills for Success
- CI/CD Tooling
- Infrastructure as Code (Terraform – primary)
- Cloud Platforms (Azure & AWS)
Looking for meaningful work? We can help
Raise is an established hiring firm with over 65 years of experience. We believe strongly in making the world a better place through work, which is why we’re a certified B Corporation and donate 10% of our profits to charity.
We strive to build teams that reflect the diversity of the communities we work in. We encourage all qualified applicants to apply, including people from traditionally underrepresented groups such as women, visible minorities, Indigenous peoples, people identifying as LGBTQ2SI, veterans, and people with visible/nonvisible disabilities.
We have a dedicated webpage for accommodations where you can learn more about what we offer, and request accommodation: https://raise.jobs/accommodations/
In order to submit candidates for roles, our clients will sometimes require personal information to confirm the identity of applicants and their legal status to work. Raise will never ask you for personal or banking information unless you have been selected for a job. If you are ever unsure about the legitimacy of this or another job posting by Raise (or have any other questions), please contact us at +1 800-567-9675 or hello@raiserecruiting.com
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