Parallel Wireless is a U.S.-based pioneer in Open RAN innovation, transforming how mobile networks are built, optimized, and powered. Through our GreenRAN™ portfolio, we enable operators to deliver next-generation connectivity with unmatched energy efficiency, automation, and flexibility.

Required Skills
8+ years of qualified software engineering experience building and operating production backend systems
Solid 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-workplace 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

Key Responsibilities
Design, build, and operate Go microservices (REST/WSS APIs, Kafka consumers, ES sink connectors) and Python data-processing modules
Model and tune Elasticsearch stack — mappings, ILM policies, index templates, rollovers — for multi-terabyte telemetry datasets
Build and scale Kafka-based streaming pipelines (consumer groups, KEDA autoscaling, dead-letter handling, backpressure)
Author and maintain Helm charts
Develop Kibana dashboards and plugins to surface network insights to operations teams
Own reliability, performance, and security of your

📌 Senior Technical Lead, Smo Pune Division
🏢 Parallel Wireless
📍 Pune