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Lead DevOps/MLOps Engineer

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Remote

Lead DevOps/MLOps Engineer

EPAM Systems

Lead DevOps/MLOps Engineer

Skills

Google Cloud PlatformData EngineeringDockerPythonMachine LearningAIAWSLinuxKubernetesApache AirflowAzure

1 day ago

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Important information


Contract type:

Permanent

Location:

Uzbekistan, Surxondaryo Region, Uzbekistan

Work mode:

Remote

Published on:

18 October 2026

What they need


We are seeking a driven and highly skilled Lead DevOps/MLOps Engineer to assess client infrastructure to enable the deployment of Enterprise Data Platform (EDP) components, aiming to ensure seamless integration and operational efficiency for a leading oil and gas company. The focus is on evaluating existing systems and preparing them for a scalable data platform rollout.

Experience the freedom of remote work from anywhere in Uzbekistan, whether it's the comfort of your home or our modern office in Tashkent. Responsibilities

  • Conduct comprehensive assessments of client infrastructure for EDP rollout feasibility
  • Identify and document infrastructure gaps and recommend remediation actions
  • Collaborate with data engineering and DevOps teams to align deployment strategies
  • Develop and maintain deployment automation scripts and tools
  • Coordinate with third-party vendors to ensure compatibility and support
  • Monitor infrastructure performance and provide feedback for optimization
  • Support continuous improvement of deployment processes and infrastructure standards
  • Deploy platform and application workloads on Kubernetes

Requirements

  • 5+ years of experience in DevOps practices tailored to data engineering environments
  • Expertise in infrastructure assessment and readiness evaluation for data platform deployments
  • Knowledge of EDP components and their deployment requirements
  • Ability to analyze complex client environments and identify potential integration challenges
  • Experience collaborating within cross-functional teams and coordinating with external vendors
  • Proficiency in Docker, Kubernetes, and Linux
  • Skills in CI/CD, Argo, and Python
  • Understanding of machine learning and agentic AI applications, and what it takes to deploy and run them reliably in production
  • English proficiency at B2 level or higher

Nice to have

  • Background in MLflow and Airflow
  • Knowledge of automated retraining tools
  • Exposure to data quality and monitoring tools

We offer

  • We connect like-minded people:

  • Delivering innovative solutions to industry leaders, making a global impact

  • Enjoyable working environment, whether it is the vibrant office or the comfort of your own home

  • Opportunity to work abroad for up to two months per year

  • Relocation opportunities within our offices in 55+ countries

  • Corporate and social events

  • We invest in your growth:

  • Leadership development, career advising, soft skills and well-being programs

  • Certifications, including GCP, Azure and AWS

  • Unlimited access to EPAM's internal learning database

  • Free English classes with certified teachers

  • Discounts in local language schools, including offline courses for the Uzbek language

  • We cover it all:

  • Monetary bonuses for engaging in the referral program

  • Medical & family care package

  • Four trust days per year (sick leave without a medical certificate)

  • Discounts for fitness clubs, dance schools and sports programs

  • Benefits package (sports activities, a variety of stores and services)

EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.

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