AWS DevOps/Platform Engineer III (3314)

AWS DevOps/Platform Engineer III

Job 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 Overview

We 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 Responsibilities

Infrastructure 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 Candidate

The 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.