Senior Software Engineer

Location: Bengaluru, Karnataka

Work Mode : 5 Days Work From Office

Reporting To :Tech Lead

Experience : 5 - 7 yrs (backend, hands-on)

Function : Backend Engineering

Core Stack :

- Node.js / Golang

- Kafka

- AWS + AI. Good to have experience in Agentic AI, LLM, building AI pipelines, RAG models.

About the Role :

BLive is building the operating system for enterprise EV fleets - combining electric mobility, fleet management, logistics technology, charging infrastructure, and SaaS for the next generation of last-mile mobility.

As a Senior Software Engineer, you will be a hands-on builder on our core backend - designing services, owning system design decisions, and shipping features that move real vehicles, orders, and money. You will report to the Tech Lead and work across the EZY/3PL, NXT/SaaS, and Common Platform pods, writing production code every week while raising the engineering bar around you. This is a depth role, not a management role - we want strong Node.js or Golang engineering paired with real, hands-on system design judgement at scale.

What You'll Own :

- Build & Ship Core Services

- System Design & Architecture

- Data, Messaging & Scale

- Reliability & Performance

- Engineering Standards & Mentorship

- Design and scale the distributed backend behind India's enterprise EV fleet platform.

- Design, build, and ship NestJS / Node.js and Golang microservices across fleet, orders, telematics, and SaaS domains.

- Own features end to end - schema, API contract, implementation, tests, rollout, and monitoring.

- Write clean, well-tested, production-grade code that the next engineer can change safely.

- Turn ambiguous problems into concrete designs - service boundaries, data models, API contracts, failure modes.

- Make and defend trade-offs on consistency, caching, idempotency, retries, and backward compatibility.

- Write short design docs / TDDs and drive them through review before code is written.

- Build event-driven flows on Kafka, RabbitMQ, BullMQ, and Redis - topic design, consumer groups, and replay.

- Model and optimise data on PostgreSQL and MongoDB: indexing, query tuning, migrations, and growth planning.

- Keep high-throughput telematics and transactional pipelines correct, idempotent, and recoverable.

- Profile and fix bottlenecks; drive down p95/p99 latency and cost on critical paths.

- Instrument services with meaningful logs, metrics, alerts, and traces; own what you ship in production.

- Lead root-cause analysis on incidents and convert findings into permanent fixes, not patches.

- Run rigorous code reviews and set the bar on testing, error handling, and API design.

- Unblock and mentor engineers through complex implementation problems.

- Partner with QA on testability, quality gates, and release readiness.

What We're Looking For :

Required :

- 5 - 7 years of hands-on backend engineering on production systems.

- Strong in Node.js (NestJS / TypeScript) or Golang - deep, not surface-level, in at least one.

- Hands-on system design : service decomposition, data modelling, API design, caching, and failure handling - with systems you've personally designed and shipped.

- Built and operated microservices in a distributed environment.

- Solid with PostgreSQL or MySQL plus a NoSQL store (MongoDB / Redis) - including query and index optimisation.

- Practical experience with message queues / event-driven systems (Kafka, RabbitMQ, BullMQ, or similar).

- Comfortable with Docker, CI/CD pipelines, and cloud deployment on AWS.

- Strong debugging and performance-tuning skills in production.

- Clear communicator - can explain technical trade-offs to engineering and product.

Bonus :

- Proficiency in both Node.js and Golang, or a strong polyglot track record.

- EV, mobility, fleet, logistics, 3PL, or supply-chain technology.

- Telematics, IoT, GPS, or real-time event-driven systems.

- Building multi-tenant SaaS platforms.

- Designing for eventual consistency and idempotency in distributed systems.

- Kubernetes, service mesh, gRPC, or Protocol Buffers.

- Observability with Prometheus, Grafana, or the ELK stack.

- Performance, load, and reliability engineering.

- Interest in Agentic AI frameworks and integrating them into backend services.