Senior Platform Developer With AWS

DataArt; New York (NY); Hybrid; USD 110,000 - 170,000; Full time

Job summary

DataArt is seeking an experienced Platform Engineer to support and modernize our AWS-based platform. You will design reliable cloud capabilities, improve AWS/Kubernetes ecosystems, and partner with engineers to enable self-service and faster delivery.

You\'ll own work from definition to delivery, strengthen observability and security, participate in on-call rotations, and apply principled trade-offs to build reusable tooling for engineering teams.

Qualifications

• Hands-on AWS platform engineering experience in production.
• Practical Kubernetes/EKS, Docker, Terraform and Helm experience.
• Strong CI/CD experience, especially GitHub Actions.
• Experience with logging, monitoring, networking, scripting, secrets management.
• Exposure to both AWS and Kubernetes, with sound coding experience.
• Evidence of designing secure, reliable and maintainable platform solutions.
• Autonomous delivery and constructive collaboration with application engineers.
• Experience supporting business-critical services through an on-call rota.

Responsibilities

• Design and evolve reliable cloud platform capabilities for engineering teams.
• Improve AWS, Kubernetes, Terraform, CI/CD, monitoring and operational patterns.
• Partner with engineers to understand needs and make safe, maintainable choices.
• Take ownership of work from problem definition through delivery and learning.
• Strengthen observability, resilience, security and incident readiness.
• Help build reusable tooling, guardrails and self-service foundations.
• Participate in incident response, communication, post-incident reviews, and completion of corrective actions.
• Participate in an on-call rota when required.

Skills

AWS Platform Engineering

Kubernetes/EKS

Docker

Terraform

Helm

GitHub Actions

CI/CD

Observability

Networking

Scripting

Secrets Management

Service Discovery

Programming Language

On-Call Experience

Tools

AWS

Kubernetes

Docker

Terraform

Helm

GitHub Actions

Job description

We are looking for an experienced Platform Engineer to support the existing AWS infrastructure and contribute to its ongoing modernisation and consolidation. The role combines hands-on cloud engineering with developer enablement. You should understand Platform Engineering as a product discipline and be able to discuss developer experience, self-service, platform adoption, reliability, and technical trade-offs. 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.

Responsibilities:

• Design and evolve reliable cloud platform capabilities for engineering teams.
• Improve AWS, Kubernetes, Terraform, CI/CD, monitoring and operational patterns.
• Partner with engineers to understand needs and make safe, maintainable choices.
• Take ownership of work from problem definition through delivery and learning.
• Strengthen observability, resilience, security and incident readiness.
• Help build reusable tooling, guardrails and self-service foundations.
• Participate in incident response, communication, post-incident reviews, and completion of corrective actions.
• Participate in an on-call rota when required.

Requirements:

• Strong hands-on AWS platform engineering experience in production environments.
• Practical Kubernetes/EKS, Docker, Terraform and Helm experience.
• Strong CI/CD experience, particularly GitHub Actions, and reusable-pipeline thinking.
• Experience with logging and monitoring, networking and protocols, scripting, secrets management and service discovery.
• Exposure to both AWS and Kubernetes, with sound coding experience.
• Evidence of designing secure, reliable and maintainable platform solutions.
• Autonomous delivery and constructive collaboration with application engineers.
• Experience supporting business-critical services through an on-call rota.
• Experience with at least one programming or scripting language.

Nice to have:

• Experience with Honeycomb, OpenTelemetry, Prometheus, Splunk, including SLO-led practices.
• Pragmatic use of AI-assisted engineering tools to improve quality and productivity.