Software Engineering LMTS/SMTS - Big Data Infra (Spark/Kubernetes/Terraform/Helm))
Is this job for you?
Build my CV Build your CV and see how well you match this role — and every other one.
The role
Role: Experienced Distributed Systems Software Engineer to lead our Big Data infrastructure projects.
Build scalable data processing and analytics services using Spark, Trino, Airflow, and Kafka for real-time and batch workflows.
Architect and operate resilient distributed systems across multiple data centers, ensuring scalability and high availability.
Own service reliability, performance, and technical debt while balancing live-site responsibilities and feature development.
Participate in on-call rotations and provide mentorship to junior engineers to foster growth and collaboration.
Work with cloud platforms (AWS/GCP/Azure), containers (Docker/Kubernetes), and IaC (Terraform/Ansible) to deploy and scale infrastructure.
Build scalable data processing and analytics services using Spark, Trino, Airflow, and Kafka for real-time and batch workflows.
Architect and operate resilient distributed systems across multiple data centers, ensuring scalability and high availability.
Own service reliability, performance, and technical debt while balancing live-site responsibilities and feature development.
Participate in on-call rotations and provide mentorship to junior engineers to foster growth and collaboration.
Work with cloud platforms (AWS/GCP/Azure), containers (Docker/Kubernetes), and IaC (Terraform/Ansible) to deploy and scale infrastructure.
See the full job post
Responsibilities, requirements, skills and benefits — create your free account.
or
Already have an account?
Log inSimilar openings
Other roles that could suit you.
? Director, Software Engineering — Marketing Intelligence (AI & Agents) ? Lead Software Engineer - AI Platform Engineering ? AI, DevOps & Software Engineering Interns - Vilnius Summer 2026 ? Director, Software Engineering (14+ years, Java, GenAI) ? Software Engineering SMTS - Big Data Engineer ? Staff Software Engineer, Machine Learning, Planner Selection