Job Description

Location : Kochi


Employment Type : Full Time


Work Mode : Hybrid


Experience : 5-18 yrs


Job Code : BEO-5223


Posted Date : 16/12/2025




Responsibilities

end Architecture & Platform Services

Design and implement secure, scalable public and internal APIs (FastAPI + async patterns) Build identity-aware, role-based services supporting clinicians, administrators, and integrations Ensure high reliability and low-latency request handling with proper caching, pagination, and rate limits
o Apply distributed systems patterns: retries, idempotency keys, circuit breakers, pressure o Contribute to domain modeling (DDD principles) for provider identity, specialties, compliance state

Define SLOs, operational runbooks, and automate recovery where possible

Data Ingestion, Structuring & Quality Governance

Engineer API-first ingestion, migration and synchronization pipelines (scraping only when legally permitted) Normalize structured & semi-structured healthcare data (qualifications, medical specialties, licensing authorities) Maintain deduplication, delta-detection and source-of-truth governance Define and track KPIs for freshness, accuracy, coverage, cost-per-item
Search, Semantic Intelligence & Matching


Build and optimize Azure OpenAI + pgvector similarity and reputation ranking models Extend taxonomy- and embeddings-aware search for better clinician-patient matching Develop metadata inference to improve discoverability and quality

Secure Healthcare Integrations

Partner with health insurers, job authorities, and telemedicine systems using standards-driven, consent-aware integration patterns Apply GDPR principles, auditability, encryption & secret management by default

Event & Batch Processing + Observability

Event-driven automation: Azure Functions / Container Apps / AKS jobs Full Observability using OpenTelemetry (traces, metrics, logs) DLQ handling, replay, and resiliency testing

Cross-Functional Product Enablement

Collaborate with Product, Platform, Data Science & Compliance stakeholders
Enable exports, access control, onboarding flows and clinical validation processes

Desired Candidate Profile


5+ years end + Data Engineering experience in production systems (regulatory environments advantageous)

Python (FastAPI, pydantic, async stack, httpx/requests) TypeScript for

integration services, SDKs, and admin automation

Azure production experience: Functions, Container Apps, AKS workloads Azure PostgreSQL / SQL, Blob Storage, Key Vault Monitor / Log Analytics PostgreSQL excellence incl.

pgvector indexing & performance tuning

ETL/ELT engineering,

test automation

(pytest), CI/CD, Observability Strong understanding of

data privacy, GDPR

, and secure data flows

Additional Skills

Go for

high-throughput microservices

NLP / Document processing: spaCy, Transformers, pdfminer, textract Healthcare interoperability:

FHIR / HL7

Developer Experience: GitHub Actions, Azure DevOps, Docker monorepo workflows (pnpm/Turborepo) Operational ownership:

"You build it, you run it."

How We Work

API-First, Clean Architecture, Security-by-Design

Pairing & mandatory code reviews Remote-friendly with flexible hybrid options and defined core hours



* Mission-first culture prioritizing

data integrity, patient safety & social impact