About this role

Lead the installation, automation, and operational reliability of a modern open-source data and integration platform.
Install, configure, upgrade, and maintain distributed open-source components including: Apache Airflow, Apache NiFi, Apache Spark.
Ensure platform stability, scalability, high availability, and fault tolerance.
Design, deploy, and operate containerized workloads using Docker.
Implement Kubernetes best practices for networking, storage, scaling, and security.
Design and maintain Infrastructure as Code (IaC) using Terraform for cloud and on-prem environments.
Deploy and operate workloads on public cloud platforms (AWS, Azure, GCP).

5+ years of hands-on experience in DevOps, Platform Engineering, or Site Reliability Engineering.
Strong experience operating distributed, open-source systems in production.
Proven expertise with: Docker and Kubernetes
Terraform and Ansible
Linux systems and networking fundamentals
Hands-on experience with Kafka, Spark, Airflow, NiFi, PostgreSQL, and messaging systems (including MQTT).
Experience supporting business-critical platforms with uptime and reliability requirements.
Strong scripting skills (Bash, Python, or equivalent).
Excellent troubleshooting and systems-level problem-solving skills.

Senior DevOps Engineer – Data & Integration Platform

Key skills