Software Engineer II Backend & Data Platform Python Kafka PySpark

HiLabs builds AI-driven data solutions for US healthcare payers, solving large-scale data quality problems across provider, claims, and clinical datasets. You will join the TMV platform team in Pune.

About the Role
We are hiring a Backend Engineer to build production-grade, scalable services for the TMV platform. The work spans Python backend engineering, distributed data processing with PySpark, event-driven systems on Kafka and Redis, and ML inference integration all within a secure AWS environment. You will work directly with Data Science, Data Engineering, DevOps and Product teams.

What You Will Do

• Design, build and maintain Python backend services and microservices using FastAPI/Flask.
• Build scalable PySpark pipelines for ingestion, classification, linkage, feature engineering and schema generation.
• Develop event-driven and asynchronous services using Kafka and Redis Streams producers, consumers, consumer groups, topics, partitioning, offset management and retry handling.
• Use Redis for caching, fast lookups, TTL-based state and distributed coordination.
• Build and deploy containerized services on AWS EKS / Kubernetes.
• Integrate with AWS S3, EMR, EventBridge, PostgreSQL, Snowflake, Kafka and Redis.
• Deploy batch scoring and ML inference services using versioned model artifacts.
• Implement reliability patterns: idempotency, retries, timeouts, dead-letter queues and failure recovery.
• Design efficient database schemas, indexes, queries and data-access layers.
• Implement logging, metrics, monitoring and alerting; write unit and integration tests; participate in code reviews.
• Debug issues across application, data, messaging and infrastructure layers.

Must Have (3+ years hands-on)

• Strong Python — OOP, data structures, design principles
• PySpark / Apache Spark, distributed data processing
• Apache Kafka — producers, consumers, consumer groups, partitions, offsets
• Redis — caching, TTL, Pub/Sub or Streams
• FastAPI or Flask, REST APIs, microservices
• AWS — S3, IAM, CloudWatch, and EKS or EMR
• Docker; working knowledge of Kubernetes
• PostgreSQL / SQL — schema design, indexing, query optimization
• Git, CI/CD, unit and integration testing

Good to Have

• Amazon MSK or Kafka on Kubernetes; Redis Cluster or ElastiCache
• AWS EMR and Spark at scale; Snowflake
• Parquet and schema management
• ML inference, model serving, embeddings, risk-scoring pipelines, MLflow
• GPU-based workloads
• Healthcare / claims / clinical data; PHI and HIPAA awareness

Ideal Candidate
A strong backend and distributed-systems engineer comfortable across application, data and infrastructure layers, with real ownership of production services — debugging depth, system-design fundamentals, and the instinct to build fault-tolerant, observable systems.

Location: Pune (work from office). Candidates open to relocating to Pune may apply.