About the Position

We are seeking a Senior Data DevOps Engineer to design deployment standards for data pipelines and improve reliability and observability.

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

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

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