AWS DevOps/Platform Engineer IIIJob ID: 3314
Location: 1100 Louisiana St, Houston, TX 77002
Work Arrangement: On-site, 5 days per week
Contract Duration: October 19, 2026 - April 16, 2027
Position OverviewWe are seeking a Senior AWS DevOps/Platform Engineer III to design, build, and maintain DevOps solutions supporting Data Engineering, Machine Learning (ML), and Generative AI (GenAI) teams.
This individual will be responsible for developing automated CI/CD pipelines, implementing Infrastructure as Code (IaC), integrating security and compliance controls, and establishing reusable deployment practices across AWS environments. The ideal candidate has extensive hands-on AWS and DevOps experience, strong scripting skills, and a proven ability to automate processes in enterprise environments.
Key ResponsibilitiesInfrastructure Automation & CI/CD- Automate Infrastructure as Code using Terraform/OpenTofu, AWS CloudFormation, Python, and Bash/Shell.
- Design, develop, and maintain reusable, templated CI/CD pipelines for data and AI workloads.
- Automate Terraform plan/apply workflows, CloudFormation deployments, testing, and evidence collection.
- Integrate security and compliance requirements into CI/CD pipelines and enterprise compliance tools.
- Establish standardized deployment workflows across AWS, containerized, and on-premises environments.
Security, Compliance & Governance- Implement approval workflows, segregation of duties, policy-as-code, security scanning, and change-ticket integration.
- Collaborate with Security and Compliance teams to ensure deployments meet enterprise governance requirements.
- Automate the collection of auditable deployment evidence.
Data & AI Platform Engineering- Support CI/CD and deployment automation for Snowflake, dbt, and Airflow/Astronomer.
- Support MLOps practices, including model registries, automated pipelines, and promotion across environments.
- Help deploy and operate machine learning models and GenAI applications.
- Support AWS services including S3, Glue, Athena, Lake Formation, SageMaker, Bedrock, Lambda, ECS, RDS, IAM, and VPC.
Operations & Reliability- Establish monitoring, logging, dashboards, alerting, and observability practices.
- Develop operational runbooks for maintenance, troubleshooting, incident response, and recovery.
- Apply site reliability engineering practices, including SLIs/SLOs, capacity planning, cost optimization, and disaster recovery testing.
- Identify repetitive manual processes and automate them to improve operational efficiency.
Collaboration & Technical Leadership- Design and document DevOps solution architectures and technical decisions.
- Work closely with Data Engineering, AI Engineering, Infrastructure Platform Engineering, Security, and Compliance teams.
- Use AI-assisted engineering tools to develop, test, and improve automation.
- Mentor junior and mid-level engineers and ensure solutions are documented for operational handoff.
Required Qualifications- 10+ years of experience in DevOps, Platform Engineering, Infrastructure Engineering, or Site Reliability Engineering (SRE).
- 5+ years of hands-on AWS DevOps or Platform Engineering experience, including cloud architecture, networking, and security.
- 5+ years of Infrastructure as Code experience on AWS using Terraform/OpenTofu and AWS CloudFormation.
- 5+ years of Python programming and Bash/Shell scripting in Linux/Unix environments.
- 5+ years of CI/CD experience with tools such as GitHub Actions, Harness, Argo CD, or Jenkins.
- 5+ years supporting Kubernetes and containerized environments.
- Experience building reusable pipeline templates and automated deployment workflows.
- Experience integrating security, compliance, governance, and audit requirements into CI/CD processes.
- Experience supporting data engineering platforms such as Snowflake, dbt, and Airflow.
- Working knowledge of MLOps for machine learning and/or GenAI systems.
- Experience with observability, monitoring, alerting, incident management, and troubleshooting.
- Strong technical documentation, architecture design, communication, and stakeholder management skills.
- Experience mentoring or leading other engineers.
- Familiarity with AI-assisted development tools such as Claude Code, Cursor, or GitHub Copilot.
Preferred Qualifications- AWS architecture certification.
- Experience with AWS Glue, Lake Formation, S3 Tables, SageMaker, and Bedrock.
- Experience with Harness.io, reusable pipeline templates, OPA policies, and governance workflows.
- Experience operating Astronomer/Airflow and supporting change-data-capture pipelines.
- Experience with LLM observability, evaluation, cost controls, AI agents, or MCP integrations.
- Knowledge of OIDC, workload identity federation, and enterprise secrets management.
- Experience building internal developer platforms and standardized golden-path tooling.
Initial Project Priorities- Automate security and compliance integrations into CI/CD pipelines and the company's compliance platform using Terraform, Python, and Shell.
- Build reusable CI/CD templates for data and AI engineering teams.
- Transition existing DevOps responsibilities from the Data Engineering team.
- Establish baseline observability, operational runbooks, and automation for high-effort manual processes.
Work Location & Schedule- Must work on-site five days per week at the downtown Houston office.
- No remote work is available.
- Occasional travel to the West Houston office is preferred but not required.
Ideal CandidateThe ideal candidate is a senior, hands-on AWS DevOps engineer with deep Terraform, Python, Shell, and CI/CD expertise. They can automate enterprise security and compliance processes, build reusable infrastructure and deployment workflows, and collaborate effectively with data, AI, infrastructure, and security teams in a regulated enterprise environment.
