Senior DevOps Engineer III AWS, Data & AI Platforms Onsite Houston TX

We at NJ TECH INC are focused on hiring highly skilled professionals who are excited by the opportunity to make a true impact on their careers as well as on our clients' business. We power our clients success - and drive our consultants career growth.

We are seeking an experienced and outstanding Senior DevOps Engineer III AWS, Data & AI Platforms for one of our esteemed clients.

Role: Senior DevOps Engineer III AWS, Data & AI Platforms

Location: Onsite Houston TX

Duration : Long term

Key Responsibilities

• DevOps Architecture, CI/CD & Automation Design, document, and implement DevOps architectures, deployment paths, environments, tooling, and operational processes in collaboration with internal customers.
• Build and maintain CI/CD pipelines using GitHub Actions, GitLab CI/CD, Harness, Argo CD, Jenkins, or comparable technologies.
• Develop reusable, version-controlled pipeline templates and standardized workflows that engineering teams can adopt across projects.
• Automate deployment and promotion of Snowflake and dbt changes, Airflow/Astronomer DAGs, ML models, and GenAI services. Integrate infrastructure provisioning, application delivery, automated testing, approvals, and release validation into repeatable deployment processes.
• Document architecture diagrams, design decisions, implementation details, and operational procedures to support long-term ownership and maintenance.
• AWS Platform Engineering & Infrastructure as Code Design, implement, and maintain secure, scalable, highly available AWS infrastructure across multiple accounts and environments.
• Develop and manage infrastructure using Terraform/OpenTofu and AWS CloudFormation, with exposure to AWS CDK.
• Automate infrastructure deployment, Terraform plan/apply workflows, CloudFormation stack updates, change sets, validation, and deployment evidence.
• Support AWS services and platform components, including S3, Glue, Athena, Lake Formation, SageMaker, Bedrock, Lambda, ECS, RDS, IAM, and VPC. Apply AWS networking, identity and access management, security, secrets management, and workload identity best practices.
• Improve infrastructure consistency, repeatability, reliability, security, and cost efficiency through automation and standardized patterns. Security, Compliance & Governance Embed security and compliance controls into CI/CD pipelines and infrastructure workflows.
• Automate approval gates, segregation of duties, policy-as-code, security scanning, change-ticket linkage, and audit-evidence collection.
• Partner with Security and Compliance teams to translate control requirements into repeatable technical implementations.
• Implement least-privilege access, secure credential handling, vulnerability remediation, and controlled release processes.
• Ensure that deployments are traceable, auditable, documented, and aligned with enterprise standards.
• Data Engineering, MLOps & GenAI Enablement Build deployment workflows for data engineering platforms, including Snowflake, dbt, and Airflow/Astronomer.
• Support the release and promotion of machine learning models and GenAI applications across development, testing, and production environments.
• Contribute to MLOps practices covering model registries, pipeline automation, environment promotion, and release governance.
• Help implement appropriate monitoring, guardrails, and cost controls for LLM-based applications. Collaborate with data and AI engineers to improve deployment reliability and reduce the operational burden of delivering data and AI products.
• Reliability, Observability & Operational Excellence Establish monitoring, logging, metrics, traces, dashboards, and actionable alerting for data and AI platforms.
• Apply site reliability engineering practices, including SLIs/SLOs, capacity and cost reviews, disaster recovery testing, incident response, and post-incident reviews.
• Create and maintain tested runbooks for routine operations, maintenance, troubleshooting, failure recovery, and service restoration.
• Identify repetitive, manual, and high-volume operational tasks and automate them to reduce toil and human error.
• Troubleshoot complex issues across AWS infrastructure, Kubernetes, networking, permissions, CI/CD pipelines, and application deployments.
• Document and hand over solutions so that other DevOps engineers can operate, troubleshoot, and extend them.
• AI-Assisted Engineering & Collaboration Use AI-assisted development tools such as Claude Code, Cursor, or GitHub Copilot to design, implement, test, and refactor automation.
• Structure tasks and technical specifications for AI coding agents and critically review generated code for correctness, security, and maintainability.
• Help develop standards and practices for responsible AI-assisted DevOps engineering. Collaborate with technical teams, business stakeholders, and leadership to communicate architecture decisions, risks, and implementation plans.
• Mentor junior and mid-level engineers and promote engineering practices that improve quality, consistency, and operational maturity.

Required Qualifications

• 10+ years of experience in DevOps, platform engineering, infrastructure engineering, or site reliability engineering, including leadership or mentoring responsibilities.
• 5+ years of hands-on AWS DevOps or platform engineering experience, including cloud networking, security, architecture, and production operations.
• 5+ years of AWS infrastructure-as-code experience, including both AWS CloudFormation and Terraform/OpenTofu.
• 5+ years of Python programming for automation and tooling, along with Bash/Shell scripting in Linux/Unix environments.
• 5+ years of CI/CD engineering experience using technologies such as GitHub Actions, GitLab CI/CD, Harness, Argo CD, Jenkins, or comparable tools.
• 5+ years working with GitHub, GitLab, or Azure DevOps repositories and implementing reusable, templated workflows.
• 5+ years supporting Kubernetes and containerized application orchestration.
• Experience implementing security and compliance controls in change-controlled or regulated environments.
• Experience deploying data platforms and workloads using Snowflake, dbt, and Airflow, with working knowledge of MLOps for machine learning and/or GenAI.
• Practical experience with AI-assisted engineering tools, including reviewing and validating AI-generated code.
• Strong observability, troubleshooting, incident response, and operational documentation skills. Demonstrated experience designing and documenting platform architectures, building reusable tools, and creating runbooks that other engineers can use successfully.
• Excellent communication and collaboration skills, including the ability to engage technical and nontechnical stakeholders.
• Ability to work independently, manage competing priorities, and deliver with minimal supervision.
• Preferred Qualifications
• AWS Solutions Architect or other relevant AWS architecture certification.
• Experience with AWS S3 Tables, Glue, Lake Formation, SageMaker, and Bedrock.
• Experience with Harness.io pipeline templates, OPA policy governance, approval gates, and audit-evidence capabilities.
• Experience operating and upgrading Airflow/Astronomer and supporting change-data-capture pipelines. Experience with LLM observability, evaluation, cost optimization, AI agents, or MCP-style engineering integrations.
• Experience with OIDC, workload identity federation, and enterprise secrets and credential management.
• Experience building internal developer platforms, self-service automation, reusable templates, or engineering golden paths.

Skills required

AWS, Terraform, CloudFormation, CI/CD, GitHub Actions, GitLab CI, Jenkins, ArgoCD, GitHub, GitLab, Kubernetes, Python, Bash, Shell scripting, Linux/Unix, AWS networking, AWS security, IAM, cloud architecture, troubleshooting, incident response

NJ TECH INC is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, we cannot sponsor any visa at this time.

NJ TECH INC is a globally managed IT service, consulting and Business solutions partner. Our "High-Performance Business" strategy builds up our expertise in technology and consulting. Our consulting plays a major role in helping clients to achieve their objectives in the highest level; ultimately creating sustainable value for customers. Come, transform your career with us and be a part of our high-performing team

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