Senior/Lead Go Developer

EPAM Systems; United States; Remote; USD 140,000 - 180,000; Full time

Job summary

EPAM Systems is seeking a Senior/Lead Go Developer to join an open source engagement around Kueue, a Kubernetes-native framework for batch workloads. You will contribute to core upstream projects, design scalable solutions, and act as a bridge between open source contributors and SRE practices, with emphasis on multi-cluster dispatching and ecosystem integrations.

This role requires collaboration with upstream teams and community contributors to advance the project and its integration into

Qualifications

• 5+ years of professional software development experience.
• Strong Kubernetes expertise with CRDs, controller-runtime, and debugging.
• Proficient in Go and cloud/container architectures.
• Experience with AI tooling to accelerate development.
• Familiarity with Git and GitHub workflows.
• Background in Systems engineering (Linux).
• English proficiency at Upper-Intermediate level (B2) or higher.

Responsibilities

• Understand and analyze client needs.
• Design and professionally articulate solutions to the client.
• Take ownership of implementation and open source contribution.
• Communicate effectively using official Kubernetes SIG channels and teams.
• Collaborate with upstream teams on expanding Kueue's feature set.
• Contribute to core upstream projects to solve complex batch scheduling bottlenecks.
• Apply creative, out-of-the-box thinking to drive project success.

Skills

Go

Kubernetes

Git & GitHub

Linux

AI tools

English (B2+)

Tools

ray.io

KubeRay

Spark

MPIJob

Python

GitHub workflows

Job description

We are seeking a Senior/Lead Go Developer to join an exciting open source engagement focused on Kueue — a Kubernetes-native technology to run and manage batch workloads on Kubernetes Clusters. You will act as both an open source contributor and SRE to help improve Kueue, with immediate activities, including expanding its rich feature set such as advanced MultiKueue multi-cluster dispatching, topology-aware scheduling for distributed AI/ML workloads, and deeper framework integrations (including ray.io). This work involves open source contributions to core upstream projects to solve complex batch scheduling bottlenecks.

Responsibilities

• Understand and analyze client needs


• Design and professionally articulate solutions to the client


• Take ownership of implementation and open source contribution


• Communicate effectively using official Kubernetes SIG channels and teams


• Collaborate with upstream teams on expanding Kueue's feature set


• Contribute to core upstream projects to solve complex batch scheduling bottlenecks


• Apply creative, out-of-the-box thinking to drive project success

Requirements

• 5+ years of professional software development experience


• Excellent knowledge of Kubernetes, including Custom Resource Definitions, controller-runtime, and debugging cluster issues


• Proficiency in Go


• Understanding of Cloud and Container architecture


• Proficiency in using AI tools to accelerate development and problem-solving


• Solid understanding of Git and GitHub workflows


• Background in Systems engineering (Linux)


• English proficiency at an Upper-Intermediate level (B2) or higher


• Nice to have Hands-on expertise with batch scheduling technologies and frameworks (ray.io, KubeRay, Spark, JobSet, MPIJob)


• Skills in Python and ML engineering


• Knowledge of Google Cloud Platform