Live opening · Posted 14 days ago

Senior Software Engineer

NeuroDrift · Gurugram, Haryana, India (Remote)
Linkedin No
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At a glance

The key details from the original listing.

Posted 14 days ago
CompanyNeuroDrift
LocationGurugram, Haryana, India (Remote)
Work modeNo
SourceLinkedin
Listed14 days ago

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About the role

Description supplied by the original job listing.

Senior Software Engineer (Go)
NeuroDrift Inc. · Remote (Delhi NCR) · Full-time · 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 senior 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.
This is not a features-in-someone-else's-codebase role. You take a slice of the platform, design it, build it, ship it, and keep it healthy. Clear communication on technical trade-offs 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
Turn requirements into service design, then build and ship it in Go
Build high-volume ingestion, event-driven workers, and LLM integration with proper guardrails
Design schemas and data models that hold up as data grows
Own your deployments end to end, including CI, migrations, and what happens after they land
Instrument the platform, watch it, and fix it when it breaks
Work across the stack when the work demands it, including Python services and the frontend
Required
3+ years owning production systems, with Go as your primary language: concurrency (goroutines, channels, context), profiling (pprof), testing
Multi-service, event-driven design: APIs, queues, idempotency, Kafka or comparable (consumers, partitioning, replay, backpressure)
Data modelling at volume: schema design, migrations, query performance, retention (PostgreSQL or similar)
LLMs in a shipped product (structured outputs, grounding, evaluation), not a one-off API call
Taking your own systems to production: Docker, Kubernetes, CI/CD, observability
Enough React and TypeScript to build and debug a data-dense UI
Strong Plus
Working knowledge of Python (FastAPI, Pydantic v2, SQLAlchemy, async)
ClickHouse or another columnar store at volume
Document and PDF extraction, file ingestion, multi-language text handling
Audit logging, RBAC, PII masking, DPDPA or GDPR
Based in or near Gurugram, or able to visit the client site a few times a month

Work arrangement
No

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