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Senior DevOps Engineer

Job in Austin, Travis County, Texas, 78716, USA
Listing for: SoTalent
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Systems Engineer, Cloud Computing, Data Engineer, SRE/Site Reliability
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Our client is looking for a Senior Dev Ops Engineer to architect and maintain modern Dev Sec Ops  environments across AWS and Azure—while mentoring engineers and shaping the Dev Ops roadmap.

This is a high‑impact role for someone who loves automation, cloud engineering, and modern deployment infrastructure.

What You’ll Do
  • Architect and manage highly scalable CI/CD pipelines across Azure and AWS.
  • Build and optimize Docker‑based microservices, images, and deployment pipelines.
  • Lead deployments across Docker Swarm, Kubernetes, and EKS environments.
  • Automate infrastructure using Ansible, Terraform, Bash, and Git‑based workflows.
  • Manage release pipelines using artifact feeds, registries, and templated multi‑stage pipelines.
  • Design environment strategies across dev, QA, staging, and production.
  • Implement and integrate cloud‑native services across AWS and Azure.
  • Apply security best practices (IAM roles, secrets management, access controls).
  • Collaborate closely with full‑stack developers (Angular, Java, Python), backend API teams, and database engineers.
  • Mentor junior Dev Ops engineers and contribute to long‑term Dev Ops strategy.
What You Bring
  • Dev Ops & CI/CD — Azure Dev Ops pipelines, YAML templates, Git workflows, CI/CD architecture.
Containers & Orchestration
  • Docker, Docker Compose, Docker Swarm, and multi‑node deployments.
  • AWS IAM, Lambda, S3, Cloud Watch
Scripting & Automation
  • Python, Bash, Linux/Unix automation, awk, groovy.
Infrastructure as Code
  • Terraform and configuration management
Distributed Deployments Database Experience
  • Postgre

    SQL, MySQL, Maria

    DB operations & migrations.
Monitoring & Observability Version Control & Release Management Bonus
  • Interest or experience in AI/ML engineering workflows.
Education & Experience
  • Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science, or similar.
  • 7+ years in Dev Ops, software engineering, or test engineering for enterprise‑scale systems (servers, networking, storage, etc.).
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Position Requirements
10+ Years work experience
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