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Senior Cloud Engineer

Amtech SoftwareBangaloreTechnology
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Salary
Not listed
Job type
Full-time
Experience
Senior · 7+ yrs
Posted
25 Sept 2026
Status
Open · checked 7d ago

About this role

Designing and building core AWS infrastructure forms the daily routine in this role, alongside owning significant components of the Encore-on-AWS environment build system. The Platform Engineering team builds and maintains the foundational landing zone, infrastructure as code, and golden-path tooling that product teams rely on to scale enterprise software solutions. This position exists to execute an all-in AWS strategy by migrating the flagship Encore ERP to a multi-account architecture, operating LabelTraxx as a multi-tenant SaaS platform, and retiring legacy private-cloud infrastructure.

Team members ship infrastructure, review peer work, and mentor engineers while coordinating closely with U.S.-based architects and leadership. Ideal candidates bring deep technical expertise in AWS and Terraform, combined with a track record of driving secure delivery and practical AI adoption within distributed engineering pods. Professionals who thrive in collaborative environments and enjoy setting technical standards for growing regional pods will find a strong fit here.

What you will do

  • Design and implement scalable, secure AWS infrastructure across multi-account organizations and customer-hosting models.
  • Author and maintain reusable Terraform modules and golden-path infrastructure as code patterns for engineering teams.
  • Build and harden continuous integration and deployment pipelines using GitHub Actions for infrastructure and application delivery.
  • Operate and optimize containerized and serverless workloads alongside relational databases at production scale.
  • Implement cloud security best practices including identity management, secrets handling, network segmentation, and encryption standards.
  • Design validation gates and reusable patterns for AI-assisted infrastructure changes while measuring productivity impacts.
  • Mentor earlier-career platform engineers in infrastructure as code, observability, and secure delivery practices.

What you need

  • Seven or more years of hands-on experience in cloud, platform, or DevOps engineering with substantial AWS depth.
  • Expert working knowledge of core AWS services in multi-account environments.
  • Strong Terraform expertise, including designing reusable modules consumed by other teams.
  • Proven software engineering ability in Python or a similar language applied to platform automation.
  • Experience with GitHub Actions or equivalent continuous integration and deployment tools.
  • Strong grasp of networking, DNS, TLS, and cloud security architecture.
  • Track record of effective collaboration in distributed global teams.

Nice to have

  • AWS Certified DevOps Engineer Professional, Solutions Architect Professional, CKA, or Terraform Associate
  • Experience with account-per-customer or multi-tenant SaaS hosting models, or ERP-class workload migration
  • Experience with AWS Control Tower, landing zones, and account vending automation
  • FinOps practice experience including tagging governance and cost allocation
  • Experience operating AI/LLM workloads or building agentic automation under governance controls

Skills and tech stack

Questions candidates ask

What is the primary focus of the platform engineering team?

Platform Engineering owns the landing zone, infrastructure as code, and the golden-path tooling that product teams build on. The team is executing an all-in AWS strategy to migrate the flagship Encore ERP and retire legacy private-cloud infrastructure.

What are the expectations regarding collaboration and location?

This role is based in Bangalore and requires coordinating daily with U.S.-based peers and leadership to maintain global consistency across time zones. Candidates need a proven track record of effective collaboration in distributed global teams.

What involvement will I have with AI technologies?

Engineers design validation gates for AI-assisted infrastructure changes and establish reusable AI patterns adopted across the pod. The role also involves mentoring engineers in safe, high-leverage usage and measuring AI productivity impact against baselines.

Ready to apply?

The application is on the official Amtech Software careers page.

Apply on company site