Site Reliability Engineer

Direct Responsibilities
Site Reliability Engineer will play a key role in keeping our Apache Kafka and Elasticsearch infrastructure performant, resilient, and scalable. You will own reliability, drive automation, and work with engineering teams to shape how we run data infrastructure at scale.
Contributing Responsibilities
Own the reliability and observability of our Kafka and Elasticsearch platforms — proactively identifying risks before they become incidents.
Lead the response to production degradations, conducting thorough post-mortems and driving systemic fixes to eliminate repeat failures.
Design and implement Ansible playbooks for automated deployment, configuration management, rolling upgrades, and day-2 operations across Kafka and Elasticsearch clusters.
Build Python tooling to automate health checks, operational workflows, alerting integrations, and pipeline diagnostics — reducing toil and improving team efficiency.
Partner with development teams to optimize producer/consumer configurations, index strategies, and query performance.
Drive capacity planning, cluster scaling, and architecture improvements in collaboration with senior and platform engineers.
Contribute to and continuously improve runbooks, and internal knowledge — raising the bar for how the team operates.
Participate in an on-call rotation with a strong culture of sustainable incident management.
Technical & Behavioral Competencies
1–3 years of hands-on experience operating Apache Kafka and/or Elasticsearch in production environments.
Solid understanding of Kafka internals: brokers, partitions, offsets, consumer groups, Kafka Connect, and Schema Registry.
Solid understanding of Elasticsearch: clusters, nodes, indices, mappings, shards, ILM, and the broader Elastic Stack.
Strong Linux/Unix fundamentals and confidence diagnosing issues at the infrastructure level.
Experience with observability tooling — Dynatrace, Prometheus, Kibana, etc