
MLTech Back End Engineer
4 weeks ago
Role Description
This is a full-time on-site role for a Back End Developer, located in Jaipur. We're hiring a Backend Engineer to build and operate the services that power our ML products. You'll design event-driven microservices, real-time data pipelines, and low-latency model-serving APIs. You'll own reliability, performance, and observability, and you'll partner closely with ML and data teams to ship measurable impact. Our stack includes Kubernetes, Kafka, Postgres/Redis, and model serving with Triton/TorchServe/Ray Serve. You care about clean interfaces, robust testing, and secure, cost-efficient systems.
Core Responsibilities
Service architecture
- Design REST/gRPC microservices, event-driven workflows, and internal SDKs.
- Define contracts, schemas, versioning, and backward compatibility.
Model serving & ML infra
- Package and deploy models (batch + online) via Triton/TorchServe/Ray Serve/FastAPI.
- Implement feature retrieval, feature stores, and online/offline parity.
- Add A/B, canary, shadow, traffic mirroring, and model rollback hooks.
Data streaming & queues
- Build producers/consumers with Kafka/Pulsar/Kinesis or SQS/RabbitMQ.
- Exactly-once/at-least-once semantics, retries, DLQs, idempotency keys.
Batch & streaming pipelines
- Orchestrate workflows with Airflow/Argo/Prefect.
- State management, watermarking, late data handling, compaction.
Performance & reliability
- Profiling, caching (Redis), rate-limiting, circuit breakers.
- SLOs/SLIs (latency, p95/p99, availability), autoscaling, capacity planning.
Storage & schemas
- OLTP (Postgres/MySQL), OLAP (BigQuery/Redshift/Snowflake), object stores.
- Schema evolution, migrations, CDC, time-series storage.
Security & governance
- AuthN/Z (OIDC/JWT), secrets management, IAM least privilege.
- PII handling, audit logs, data retention, encryption in transit/at rest.
Observability
- Metrics/tracing/logs (Prometheus/OpenTelemetry/Grafana/ELK).
- Playbooks, runbooks, SRE handoff, on-call rotation readiness.
DevEx & CI/CD
- Docker/K8s, Helm, GitHub Actions/GitLab CI, artifact registries.
- Contract tests, e2e tests, load tests, chaos experiments.
- Collaboration
- Partner with ML to define interfaces (input validation, schema, SLAs).
- Work with product to refine requirements; with data eng on pipelines.
Stack
- Languages: Python, Go, or Node.js/TypeScript (pick 1–2 primary)
- APIs: FastAPI/gRPC/Express + OpenAPI/Buf
- Streaming/Queues: Kafka/Pulsar/Kinesis/SQS
- Serving: NVIDIA Triton, TorchServe, Ray Serve, BentoML
- Orchestration: Airflow/Argo/Prefect
- Stores: Postgres, Redis, S3/GCS, feature store (Feast)
- Infra: Docker, Kubernetes, Helm, Terraform
- Obs: Prometheus, Grafana, OpenTelemetry, Loki/ELK
Experience
- 3–8+ years backend experience designing high-throughput services.
- Strong with event-driven systems, concurrency, and data modeling.
- Hands-on with one major queue/stream platform and one SQL DB.
- Experience packaging and running ML models in production (GPU/CPU).
- Solid testing discipline (unit, contract, property, and load testing).
- Vector DBs (FAISS/pgvector/Weaviate), retrieval patterns for RAG.
- Cost optimization, GPU scheduling, CUDA basics, Triton kernels.
- Privacy/regulated domains (HIPAA/GxP/PCI), fine-grained access control.
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