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Lead DevOps/Consultant

Role overview

Qualifications

  • 5+ years of experience in DevOps or Site Reliability Engineering
  • Expertise in infrastructure assessment and readiness evaluation for data platform deployments
  • Proficiency in DevOps practices tailored to data engineering environments
  • Knowledge of EDP components and their deployment requirements

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

Key facts

Hard skills

Other skills

  • Collaboration
  • Problem Solving

About the company

EPAM Systems logo

EPAM Systems

  • IT Services & Consulting
  • XLarge
  • 10,001+
Since 1993, EPAM Systems, Inc. (NYSE: EPAM) has used its software engineering expertise to become a leading global provider of digital engineering, cloud and AI-enabled transformation services, and a leading business and experience consulting partner for global enterprises and ambitious startups. We address our clients’ transformation challenges by fusing EPAM Continuum’s integrated strategy, experience and technology consulting with our 30+ years of engineering execution to speed our clients’ time to market and drive greater value from their innovations and digital investments. We make GenAI real with our AI LLM orchestration, testing and engineering solutions, EPAM DIAL, EPAM EliteA™ and EPAM AI/RUN™, respectively. We deliver globally, but engage locally with our expert teams of consultants, architects, designers and engineers, making the future real for our clients, our partners and our people around the world. We believe the right solutions are the ones that improve people’s lives and fuel competitive advantage for our clients across diverse industries. Our thinking comes to life in the experiences, products and platforms we design and bring to market. Added to the S&P 500 and the Forbes Global 2000 in 2021 and recognized by Glassdoor and Newsweek as a Top 100 Best Workplace, our multidisciplinary teams serve customers across six continents. We are proud to be among the top 15 companies in Information Technology Services in the Fortune 1000 and to be recognized as a leader in the IDC MarketScapes for Worldwide Experience Build Services, Worldwide Experience Design Services and Worldwide Software Engineering Services. Learn more at www.epam.com.

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Job description

We are seeking a driven and highly skilled Lead DevOps/Consultant 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. 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 or Site Reliability Engineering Expertise in infrastructure assessment and readiness evaluation for data platform deployments Proficiency in DevOps practices tailored to data engineering environments 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 Competency in data quality and monitoring tools

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