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Mphasis Linkedin · Posted 15d ago

Senior Software Engineer

Taipei

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Indexed description

We're evolving our platform toward AI-assisted and agent-driven engineering workflows, and we're looking for a DevOps Engineer to help shape this next chapter with us.

You'll work across both modern cloud-native systems and legacy operational environments, helping us modernize incrementally and pragmatically. The role offers broad exposure across infrastructure, automation, observability, CI/CD, and platform engineering domains.

What You'll Do

  • Operate and improve CI/CD pipelines across Azure DevOps and GitHub Actions.
  • Design, automate, and operate AWS infrastructure using Infrastructure as Code practices.
  • Maintain and improve workloads running in our on-prem VMware environment as part of our hybrid platform footprint.
  • Help evolve our observability practice across infrastructure, services, workflows, and emerging AI-agent operations.
  • Contribute to AI-assisted and agent-driven automation workflows that improve both developer and operational efficiency.
  • Partner with engineering teams to build paved-road developer experiences: self-service workflows, reliable tooling, and clear operational documentation.
  • Continuously identify operational friction and improve reliability through automation and platform improvements.

Who You Are

  • Ownership mindset — you treat the platform as a product and proactively drive issues to resolution.
  • Pragmatic — you can navigate the gap between modern best practices and legacy operational realities.
  • Automation-first — if you've done it manually twice, you're already thinking about scripting it.
  • Curious about AI-assisted engineering and developer workflows, not just as a user, but as someone interested in designing better systems around it.
  • Collaborative and documentation-oriented by default.
  • Comfortable working across a broad range of infrastructure and platform engineering topics.

This role is ideal for engineers who enjoy shaping systems and workflows — not just operating them.

Must Have

  • 4+ years of experience in DevOps, SRE, Platform Engineering, or related infrastructure roles.
  • Hands-on CI/CD experience with Azure DevOps Pipelines and/or GitHub Actions.
  • Solid AWS production experience.
  • Practical Terraform experience in production environments, including reusable modules and state management.
  • Production experience with Docker and containerized workloads.
  • Strong scripting skills in Python and Bash.
  • Solid Linux fundamentals and troubleshooting skills.
  • Practical observability experience across metrics, logs, and traces — with the ability to turn operational signals into actionable insights.
  • Comfortable with Git-based workflows and code review culture.
  • Able to communicate effectively in English within a cross-region team.

Nice to Have

  • Exposure to Kubernetes/EKS environments.
  • VMware vSphere / vCenter or hybrid cloud/on-prem operational experience.
  • Experience building or operating AI-assisted developer tooling, automation workflows, or internal engineering platforms.
  • Experience leading or contributing to CI/CD, infrastructure, or platform modernization initiatives.
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