Note: The job is a remote job and is open to candidates in USA. EPAM Systems is seeking a Senior Data DevOps Engineer to own a data platform area end-to-end. The role includes designing deployment standards for data pipelines, improving reliability and observability, maintaining IaC modules, and collaborating with Data Engineering and Security teams.
Responsibilities
- Design deployment standards for data pipelines
- Improvement of reliability and observability across the data platform
- Maintenance of IaC modules and reusable infrastructure components
- Support for Kubernetes and cloud workloads in production
- Mentorship of L1-L2 engineers and driving technical improvements
- Collaboration with Data Engineering and Security teams
- Advanced CI/CD management including templates, release gates and promotion flows
- SLO/SLA thinking, capacity planning and cost optimization
- Ownership of monitoring, alerting and incident management
Skills
- 5+ years in DevOps, Platform Engineering, SRE or Cloud Engineering
- Strong production experience with cloud infrastructure
- Expertise in Kubernetes or managed container platform in production
- Advanced proficiency in Terraform/IaC including modules, environments and state, policies and reviews
- Advanced CI/CD skills including templates, release gates and security checks
- Strong competency in monitoring, alerting and incident management
- Skills in Python automation and API integrations
- Knowledge of Linux, networking and IAM, secrets, certificates and DNS/VPC basics
- Understanding of SQL and operational data pipelines
- Familiarity with at least one data-platform technology such as Airflow, Spark or Kafka, Databricks, Snowflake or BigQuery, Redshift, EMR/Glue/Dataproc or dbt, warehouse/lake, ELT, analytics platform or ML platform
- English proficiency at B2 level or higher
Benefits
- Engineering Heritage: Best-in-class experts sharing a culture of engineering excellence and tackling complex engineering challenges for over 30 years
- Advanced Tech Stack: Innovative projects where you can apply or enhance your expertise in Cloud, Data, AI, and other emerging technologies
- World-Class Clients: Work closely with 340+ of the Forbes Global 2000 on creating disruptive solutions that make a global impact
- Professional Growth: Exceptional support for career development with comprehensive resources for upskilling or reskilling in pioneering practices
- GenAI Community: Strong AI competencies with 600+ experts across 55+ locations driving GenAI-enabled transformation journeys
- Entrepreneurial Culture: If you're passionate and dedicated to improving business transformation, we provide the support you need to bring your ideas to life
- Hybrid Setup: The flexibility to work from any location in Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas
- Other Benefits: Additional vacation and trust days, private health insurance, Employee Stock Purchase Plan and more
Company Overview
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