Software Engineer (Go)

Software Engineer (Go)
NeuroDrift Inc. · Remote (Delhi NCR) · Full-time · 1.5 to 3 years
About Us
NeuroDrift builds AI-powered products for enterprise clients and agencies. We ship real software into real operations, fast, with a lean team and no layers between engineering and the decisions.
About the Role
You're a Go engineer on a data-heavy, AI-integrated platform. High-volume data comes in through event pipelines, gets modelled for both transactional and analytical use, runs through LLM-powered analysis, and comes out in a data-dense product UI, all on AWS. Go is the primary language; Python is secondary.
You'll ship real parts of the platform from early on, with senior engineers reviewing design and code. Your scope grows as you deliver. Clear communication, including flagging problems early, is part of the job.
What You'll Work With
Primary backend: Go (Gin, GORM, pgx, job queues)
Secondary backend: Python (FastAPI, Pydantic v2, SQLAlchemy, Alembic, async)
Data and messaging: Kafka, PostgreSQL, ClickHouse, Redis, S3
AI/NLP: OpenAI and Anthropic SDKs with structured outputs, grounding, and evaluation; sentiment analysis and high-performance regex for compliance pattern matching
Frontend: React 18 + TypeScript, Vite, TanStack Query, MUI (data grids, charts)
Infra: Docker, Kubernetes via Helm on EKS, ECR, GitLab CI, dev to staging to UAT to prod, OpenTelemetry and structured logging
Quality: Go test suites and containerized integration tests; pytest, ruff, and mypy on the Python side; ESLint
Responsibilities
Build Go services and APIs from agreed designs through to production
Implement ingestion paths, event-driven workers, and LLM integrations with proper guardrails
Write schema changes, migrations, and queries that hold up as data grows
Write tests, ship through CI, and follow your changes after they land
Add instrumentation, debug production issues, and fix what breaks
Pick up Python and frontend tasks when the work needs it
Required
1.5+ years of professional backend development, with Go in production (e.g. Gin, Echo, net/http)
Go fundamentals: goroutines, channels, context, error handling, testing
PostgreSQL or a similar relational database: schema design, migrations, indexing
Strong Plus
Kafka, RabbitMQ, NATS, or another message queue
Docker, Kubernetes, and CI/CD pipelines
LLM API integration in a product or project (e.g. OpenAI or Anthropic APIs, structured outputs, RAG)
Working knowledge of Python (e.g. FastAPI)
React and TypeScript
Based in or near Gurugram, or able to visit the client site a few times a month

Work arrangement
No