Source description
About the role
8+ years of professional software engineering experience building and operating production backend systems.
Strong proficiency in Go and/or Python.
Hands-on experience with the Elasticsearch / ELK stack — query DSL, mappings, aggregations, cluster operations, and performance tuning.
Familiarity with Logstash pipeline development and JVM tuning.
Production experience with Apache Kafka — topics, partitions, consumer groups, offset management, and scaling.
Solid Kubernetes and Helm experience; comfortable with containerized deployments and multi-environment value overrides.
Deep understanding of distributed systems: fault tolerance, backpressure, idempotency, and observability.
Strong grasp of secure engineering practices — secret management, injection prevention, and least-privilege design.
Working knowledge of AI-assisted development tools across the SDLC — using AI coding assistants and agents (e.g., for code generation, refactoring, test writing, debugging, and code review) to improve development speed and quality, with sound judgment on validating and reviewing AI-generated output.
More at Parallel Wireless
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