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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AWS DevOps/Platform Engineer III (3314) - **Company:** Odyssey Information Services - **Location:** Houston, TX, United States - **Experience:** Expert - **Contract:** Contract - **Skills:** OpenTofu, Artificial Intelligence, Airflow, Amazon Web Services, Amazon S3, Bash Shell, Cloud Engineering, Continuous Integration, Information Engineering, Cursor, Linux, DevOps, Github, Identity and Access Management, Python (Programming Language), Machine Learning, Octopus Deploy, OpenID, Reliability Engineering, Software Tools, Systems Integration, Policy as Code, Data Logging, Scripting, GitHub Copilot, Delivery Pipeline, Large Language Models, Claude Code, Snowflake, Generative AI, Change Data Capture, Infrastructure as Code (IaC), Amazon Virtual Private Cloud (VPC), Agentic-AI, Cloudformation, Amazon Relational Database Service, Containerization, AI Platforms, Kubernetes, Infrastructure Automation Frameworks, Deployment Automation, Machine Learning Operations, Terraform, Jenkins, Vulnerability Analysis - **Published:** October 14, 2026 - **Apply:** https://www.dice.com/job-detail/74b96d28-eca9-472d-a962-5833d4c4d260 ## About the Role 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., * 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., 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. ## Description 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., 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.