MLTech Back End Engineer

2 weeks ago

Nellore, Andhra Pradesh, India SoftSensor Full time

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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