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Salary
≈ $13k – $39k per year (Estimated)
Location
In office (Taipei)
Seniority
Senior · 4+ years exp

Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on May 20, 2026.

Overview
Company
Impact
Profile match
Mphasis provides information technology services with a focus on cloud and cognitive automation. Its clients are concentrated in banking, insurance and financial services. The company builds industry-specific platforms alongside its services work.

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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