Senior Platform Engineer (AWS)

TL;DR

Senior Platform Engineer (AWS): Designing and delivering cloud infrastructure, CI/CD systems, and platform tooling for AI-driven enterprise operations with an accent on scalability, DevSecOps, and AI/ML infrastructure. Focus on architecting cloud-native solutions, GPU workload orchestration, and implementing high-velocity delivery pipelines.

Location: Lviv, Ukraine

Company

An applied AI engineering firm that designs and ships AI co-workers and business architecture for enterprise clients across various industries.

What you will do

• Lead the end-to-end design and implementation of CI/CD pipelines to drive quality and reliability across workflows.
• Architect cloud-native infrastructure on AWS, focusing on scalability, resilience, and cost efficiency.
• Manage Kubernetes clusters and containerized workloads at scale using Infrastructure as Code (IaC).
• Design and operate AI/ML platform infrastructure, including model serving, GPU orchestration, LLM gateways, and vector stores.
• Implement DevSecOps practices, including security scanning, secrets management, and access control.
• Drive observability, performance optimization, and lead production incident response and root cause analysis.

Requirements

• 5–7 years of professional DevOps or platform engineering experience with growing ownership of infrastructure.
• Strong scripting and programming skills in Python, Go, or Bash.
• Deep hands-on expertise with AWS and Kubernetes container orchestration.
• Strong experience in IaC and CI/CD pipeline design and ownership.
• Experience with AI/ML platform infrastructure, including GPU workload orchestration and LLM observability.
• Daily usage of AI-forward tools such as Claude and Cursor is required.

Nice to have

• Experience with service mesh, multi-cloud, or hybrid environments.
• Relevant cloud certifications.

Culture & Benefits

• Work within a high-seniority environment where teams average 15+ years of experience.
• Fast-paced delivery cycle, shipping production-ready AI systems in 30 to 45 days.
• Culture centered on ownership, craft, and direct, honest feedback.
• Collaborative environment combining engineering precision with creative UX capability.