Senior Engineer, EMS & AI Automation
Parallel Wireless · Not specified · onsite · Posted 62d ago
Not disclosed8–10 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
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.
What you need -
- 8+ years of professional software development experience, with 3+ years of production Go (Golang)
- Strong grasp of Go idioms: goroutines/channels, context propagation, interfaces and composition, error handling
- Solid experience with MongoDB (or comparable NoSQL): schema design, indexing, aggregation pipelines, replica sets/sharding
- Hands-on experience with Kafka or similar messaging systems in event-driven architectures
- Experience designing and building RESTful APIs in distributed microservice systems
- Strong understanding of concurrency, high availability, and multi-replica deployment concerns (shared state, locking, idempotency)
- 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.
- Preferred / Nice to Have
- Telecom domain experience: RAN, EMS/NMS, O-RAN architecture (Near-RT RIC, SMO), 4G/5G
- Familiarity with device management protocols: TR-069 (CWMP), NETCONF/YANG, SNMP, O1
- Exposure to 3GPP or O-RAN specifications and OAM/FCAPS concepts
What you will do -
- Design, develop, and maintain Go microservices for RAN device configuration, fault management, and network optimization
- Build and evolve protocol adapters that translate between internal data models and device-facing protocols
- Design MongoDB schemas, DAOs, and efficient queries (projections, indexes, aggregations, change streams) for a sharded production cluster
- Develop event-driven flows using Kafka for faults, cell-state changes, and configuration propagation across services
- Ensure services are HA-ready: multi-replica safe, stateless where possible, with graceful shutdown and proper concurrency control
- Write meaningful unit tests, participate in code reviews, and uphold security, performance, and error-handling standards
- Debug production issues across services using logs, metrics, and distributed tracing of data flows
- Leverage AI tools throughout the SDLC - from design and coding to testing, documentation, and troubleshooting - to accelerate delivery while ensuring output is reviewed, validated, and production-ready.
₹0 - ₹0 a year
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Sourced from foundit
Skills
Device Management ProtocolsMulti-replica deploymentNoSQLApache Kafka3Gpprestful apisOAMhigh availabilityConcurrencyAI-assisted Development ToolsGolangFCAPSORAN SpecificationsMongoDB
About Parallel Wireless
Parallel Wireless
IT Services & Consulting
273
employees
2012
14 years old
Nashua
United Kingdom
₹22.3L PA avg
Avg at Parallel Wireless
About
Parallel Wireless is leading the OpenRAN movement with the world's first 5G/4G/3G/2G cloud-native Open RAN architecture for rural and urban. Their customers include over 60 global mobile operators.
Industries
IT Services & Consulting
Employee ratings
10 reviews
3.1/ 5
Culture
2.5
Career growth
2.6
Work-life
2.9
Employees rate it well for
Compensation & Benefits37Skill Development32
Find them on