Data DevOps Lead

EPAM Systems, Inc.; Turkey; On-site; TRY 4,420,000 - 8,841,000; Full time

Benefits offered by this job

Upskilling program

Private health insurance

Well-being events

Mentoring programs

Job summary

EPAM Systems, Inc. is seeking a Data DevOps Lead to own the data platform architecture, build CI/CD for data pipelines and ML models, and define technical standards. You will lead a small team of engineers, driving DataOps practices and ensuring reliability, security, and cost efficiency.

You will collaborate with data engineers, analysts, DS/ML teams, product, and security to shape the data strategy and platform roadmap across cloud services.

Qualifications

• 5+ years in DevOps / Data Engineering with leadership experience.
• Hands-on AI/ML infrastructure in production (MLOps).
• Proficient in Python and SQL; strong Bash skills.

Responsibilities

• Own the data platform architecture; design, evolve, and scale data pipelines.
• Build and maintain CI/CD for data pipelines, infrastructure, and ML models.
• Implement IaC, testing, and data monitoring practices.
• Define roadmaps and manage technical debt; ensure reliability, security and cost-efficiency.
• Collaborate with data engineers, analysts, DS/ML teams, product and security.

Tools

Docker

Kubernetes

Terraform

Airflow

Dagster

Prefect

Snowflake

BigQuery

Redshift

Python

Scala

SQL

Bash

Prometheus

Grafana

ELK

MLOps

Job description

The Data DevOps Lead owns the infrastructure and delivery processes for data: building and evolving the data platform, establishing CI/CD and DataOps practices, leading a small team of engineers, and setting technical standards. This role sits at the intersection of data engineering, DevOps, and team leadership.ResponsibilitiesOwn the data platform architecture: design, evolve, and scale the infrastructure for data pipelinesBuild and maintain CI/CD processes for data pipelines, infrastructure, and ML modelsImplement Infrastructure as Code, versioning, automated testing, and data monitoring practicesDefine the technical roadmap and standards, and manage technical debtEnsure reliability, security, and cost-efficiency of the infrastructure (SLAs, observability, cost optimization)Partner with stakeholders: data engineers, analysts, DS/ML teams, product, and securityRequirements5+ years in DevOps / Data Engineering, including technical or team leadership experienceHands-on experience with AI/ML infrastructure and supporting AI/ML workloads in production (MLOps)Strong command of one cloud platform (AWS / GCP / Azure) and its data servicesDocker, Kubernetes, Terraform (or equivalent IaC)Pipeline orchestration (Airflow, Dagster, Prefect, or equivalent)Experience with big data and streaming: Spark, Kafka, data lake / DWH (Snowflake, BigQuery, Redshift, etc.)Languages: Python and/or Scala, strong SQL, bashMonitoring and observability setup (Prometheus, Grafana, ELK, etc.)Experience with LLM/GenAI infrastructure and servingData governance, security, and data complianceCloud cost optimization (FinOps)We offerCONTINUOUS UPSKILLING, LEARNING & DEVELOPMENTDiversity of tasks and projectsAssessment center for objective review of competency levelPersonal development planMentoring programs and leadership developmentCertification and professional development supportAccess to learning platforms including more than 2,500 internal coursesEnglish courses taught by certified teachersCORPORATE BENEFITSExtra leave daysReferral bonusesCOMPENSATION PACKAGECompetitive compensation paid in USDRegular salary and performance reviewsMEDICAL & HEALTHCAREPrivate health insuranceWell-being eventsWORKING ENVIRONMENTRecreation areas and kitchensTea, coffee and snacksSports equipment and game consolesIT EquipmentMicrosoft’s Software Assurance Home Use Program (HUP)Please note that our Talent Attraction Team reviews applications and CVs submitted in English.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.