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Senior Platform Engineer with AWS

  • Source: Naukri
  • Dataart Technologies
  • Remote
  • Bengaluru
  • Full-Time
  • Senior

Job Description

Technology stack

AWS, EKS, ECS, Kubernetes, Docker, Helm, Terraform, GitHub Actions, OpenTelemetry, Honeycomb, Datadog, Claude, ChatGPT

Client

Our client is a financial services company developing secure digital banking and retail finance platforms.

Project overview

You will contribute to a transformation from team operated infrastructure toward a platform with clear self service capabilities. The platform is run as an internal product: product engineering teams are its customers, and success is measured by developer experience, adoption, reliability, delivery speed and cost.

Team

You will work with a cross-functional platform team collaborating. The team partners closely with application engineers and supports shared ownership through collaborative delivery and an on-call rota.

Position overview

We are looking for an experienced Platform Engineer to support the existing AWS infrastructure and contribute to its ongoing modernization and consolidation.

The role combines hands-on cloud engineering with a product mindset. We are not looking only for someone who can build or operate infrastructure we need an engineer who treats the platform as a product and product engineering teams as customers: starting from developer friction rather than a preferred tool, building self-service and golden paths, and proving impact with data.

The working schedule is aligned with UK business hours, from 9:00 AM to 5:30 PM UK time. Participation in an on-call rota may be required.

This position includes a sign-in bonus.

Responsibilities

  • Design and evolve reliable AWS, Kubernetes, Terraform and CI/CD platform capabilities for engineering teams.
  • Understand developer friction through conversations, feedback and data before choosing a technical solution.
  • Build self-service capabilities, golden paths and guardrails that make the right thing easy for engineers.
  • Measure outcomes (e.g. lead time, deployment frequency, reliability, cost) to prioritize work and confirm improvements.
  • Work with product engineering teams to iterate on solutions and drive platform adoption.
  • Balance standardization and controls with usability, so the platform enables teams rather than adding process.
  • Strengthen observability, resilience, security and incident readiness.
  • Take part in incident response, post-incident reviews and the on-call rota.

Requirements

  • Strong hands on AWS platform engineering experience in production environments.
  • Practical experience with Kubernetes, EKS, Docker, Terraform, and Helm.
  • Strong CI/CD experience, particularly with GitHub Actions and reusable pipeline design.
  • Experience with logging and monitoring, networking and protocols, secrets management, and service discovery.
  • Experience with at least one programming or scripting language.
  • Evidence of designing secure, reliable, and maintainable platform solutions.
  • Experience supporting business critical services, including participation in an on call rota.
  • Experience identifying developer needs and translating them into practical platform improvements.
  • Experience building self service capabilities, reusable workflows, or guardrails adopted by engineering teams.
  • Ability to use data and metrics to prioritize platform improvements and evaluate their impact on developer experience, reliability, delivery speed, or cost.
  • Experience collaborating with engineering teams to gather feedback, iterate on solutions, and drive adoption.
  • Ability to balance standardization, security, and operational controls with developer usability.

Nice to have

  • Experience with Honeycomb, OpenTelemetry, Prometheus or Splunk, including SLO-driven practices.
  • Experience using platform engineering metrics to measure adoption, developer experience and operational outcomes.
  • Pragmatic use of AI-assisted engineering tools to improve quality and productivity.

Skills

  • amazon-web-services
  • amazon-eks
  • amazon-ecs
  • Kubernetes
  • Docker
  • helm
  • Terraform
  • Github
  • github-actions
  • opentelemetry
  • honeycomb
  • datadog
  • claude-by-anthropic
  • chatgpt
  • google-signin
  • guardrails
  • Prometheus
  • splunk

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