Senior Backend Engineer

6 days ago

Lahore, Punjab, Pakistan DEVSPARK LABS Full time $70,000 - $120,000 per year

About the role

You'll be the technical owner of our backend inference platform that standardizes color science and computervision decisions across iOS and Android. You'll design and ship APIs, async workers, and secure data flows that ingest tattoo images, run segmentation + CIE Lab analysis + rules/ML decisioning, and return explainable, versioned recommendations for laser wavelengths.

What you'll do

  • Own the API (FastAPI)
  • Async processing: Celery + Redis (or SQS) workers, retries, backoff, idempotent jobs.
  • Model portability: integrate ONNX Runtime (CUDA/TensorRT if GPU is present); consume models
  • exported from PyTorch; expose model_version/ruleset_version in results.
  • Observability & reliability: Prometheus/Grafana, OpenTelemetry tracing, structured logs, Sentry; P95
  • latency and error budgets.
  • Security & compliance: presigned URLs, KMS-encrypted buckets, least-privilege IAM, audit logs,
  • configurable data retention; consent flags and region pinning.
  • Documents & tests: golden-vector tests for ΔE2000, contract tests for API, load tests; clear runbooks.
  • Collaborate: work with Mobile, ML/CV, QA, and a clinical advisor to keep outputs explainable and safe.

Required skills (must-have)

  • Python 3.10+, FastAPI, async I/O, Pydantic v2
  • Celery (or equivalent) + Redis/SQS; job orchestration at scale
  • Object storage (S3/MinIO) with presigned uploads; Postgres (SQLAlchemy/Alembic)
  • OpenCV-Python for image I/O, morphology, color conversions
  • Colour-Science / colormath or equivalent for XYZLab and ΔE2000 (accuracy matters)
  • ONNX Runtime (Python) for inference; experience wiring exported PyTorch/TF models
  • Auth & security: OAuth2/JWT, role-based access, encryption at rest/in transit
  • Containers & CI/CD: Docker, GitHub Actions; environment promotion and secrets management
  • Solid testing culture: unit, integration, load; reproducible builds and migrations

Nice to have

  • CUDA/TensorRT deployments; Triton or TorchServe
  • MLOps: MLflow/W&B registries; dataset/version governance
  • PDF generation (WeasyPrint/ReportLab); EMR/EHR integrations
  • Experience in regulated/PHI contexts (HIPAA/GDPR), audit trails, DPIA/BAA familiarity
  • Terraform/IaC; k8s (GPU nodes), autoscaling workers

Tech stack you'll use here

Python 3.11
• FastAPI
• Pydantic v2
• Celery
• Redis/SQS
• Postgres
• S3/MinIO
• OpenCV
• Colour-

Science/colormath
• ONNX Runtime (CUDA/TensorRT)
• WeasyPrint/ReportLab
• Docker
• GitHub Actions
•

Prometheus/Grafana
• OpenTelemetry
• Sentry
• (Optional) MLflow/W&B
• Terraform

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