Senior Platform Engineer with AWS

Dataart Technologies; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Sign-in bonus

Job summary

Dataart Technologies seeks an experienced Platform Engineer to support and modernize a high-scale AWS infrastructure. You will approach the platform as a product, treating product engineering teams as customers and focusing on reducing developer friction.

The role blends hands-on cloud engineering with a product mindset, building self-service capabilities, golden paths, and guardrails. UK-hours alignment and on-call rotation may be required; a sign-in bonus is offered.

Qualifications

• Strong hands-on AWS platform engineering experience in production.
• Experience with Kubernetes, EKS, Docker, Terraform, and Helm.
• Strong CI/CD experience, esp. GitHub Actions and reusable pipelines.
• Experience with logging/monitoring, networking, 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 and 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 impact.

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 (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.

Skills

AWS platform engineering

Kubernetes

EKS

Docker

Terraform

Helm

GitHub Actions

CI/CD

Observability

On-call

Data-driven decisions

Programming/scripting

Tools

Prometheus

OpenTelemetry

Honeycomb

Splunk

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.