Lead DevOps Engineer (AWS)

SoftServe; Polska; Hybrid; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Flexible work model

Competitive pay and health coverage

Learning opportunities

Job summary

SoftServe is seeking an experienced MLOps Platform Engineer to operate and evolve a cloud-native, multi-tenant MLOps platform supporting ML workloads.

You will collaborate with engineering, data science, and infrastructure teams to ensure secure, scalable, and reliable operations, from onboarding tenants to CI/CD pipelines.

This role emphasizes automation, IaC, and monitoring using Kubernetes, Terraform, ArgoCD, and cloud services.

Qualifications

• Experience operating a Kubernetes-based MLOps platform.
• Hands-on IaC with Terraform, Terragrunt and Helm.
• Experience with GitOps and CI/CD tools (ArgoCD, GitHub Actions).
• Knowledge of IAM, VPC, monitoring, and platform security best practices.
• Proficiency in Python or Bash scripting.
• Strong collaboration and communication skills.

Responsibilities

• Operate, maintain, and improve a Kubernetes-based MLOps platform.
• Manage infrastructure using Terraform, Terragrunt, and Helm.
• Support tenant onboarding, deployment pipelines, and ML workflows.
• Monitor platform health, respond to incidents, and optimize costs.
• Collaborate with engineering, data science, and infrastructure teams.

Skills

Kubernetes

AWS EKS/IAM/VPC/Route53/S3/ECR

CI/CD

GitOps

Python/Bash scripting

Monitoring/Observability

Security best practices

Cloud infrastructure design

Collaboration across teams

GPU/AI infra (nice to have)

Tools

Terragrunt

Helm

ArgoCD

GitHub Actions

Terraform

Job description

In this role, you will be responsible for operating and evolving a cloud-native, multi-tenant MLOps platform that supports machine learning and data science workloads. You will work closely with engineering, infrastructure, and data teams to ensure the platform remains secure, scalable, reliable, and continuously improving. Your work will directly contribute to enabling efficient AI/ML development and production environments across the organization.

Responsibilities

• Operate, maintain, and improve a Kubernetes-based MLOps platform
• Manage infrastructure using Terraform and GitOps practices
• Support tenant onboarding, platform services, deployment pipelines, and ML workflows
• Monitor platform health, respond to incidents, and improve operational processes
• Optimize platform performance, reliability, security, and cloud costs
• Collaborate with engineering, data science, and infrastructure teams to deliver a stable and scalable platform

Requirements

• Experience with AWS services, including EKS, IAM, VPC, Route53, S3, ECR, and related cloud infrastructure
• Strong Kubernetes administration skills, including cluster operations, networking, autoscaling, and troubleshooting
• Hands-on experience with Infrastructure as Code using Terraform, Terragrunt, and Helm
• Experience with GitOps and CI/CD tools such as ArgoCD and GitHub Actions
• Knowledge of identity and access management, observability, and platform security best practices
• Experience with monitoring tools such as Prometheus, Grafana, CloudWatch, or Datadog
• Scripting and automation skills using Python and/or Bash
• Strong problem-solving skills and experience supporting production environments
• Excellent communication and collaboration skills
• Experience with NVIDIA technologies, including GPU infrastructure, GPU operators, CUDA, or AI/ML platform optimization (nice to have)

SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.

About us

We are a digital engineering and technology consulting company where expertise grows alongsidepeople. For more than 30years, we have been elevating technology: helping organizations navigate complex businesschallenges by combining deepengineering knowledge with thoughtful, research-backed innovation. Our teams work across keyareas: digitalengineering, data and analytics, Сloud, and AI/ML. In each, we deliver practical, scalablesolutions rooted in realbusiness needs and measurable human impact.

You bring your perspective and ambition. We create an environment where your work meetsclarity, confidence, andpurpose.

We offer

Flexible Work Model

Work from home, from the office, or in a hybrid format that supports focus andcollaboration.

Competitive, market-based pay, benchmarked by role andlocation — plus health coverage, paid time off, wellness support, and learningopportunities.

Approachable leaders who communicate openly, keep teams close to the strategy, andsupport long-term planning.

Advanced tech communities

Stay close to AI/ML, Cloud, Quantum Computing, IoT, andRobotics communities, with projects built on modern frameworks.

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