Adyar Chennai Tamil Nadu Intelligence analyst Jobs – 171 Open Jobs Today

Tech Lead
India Health Link Pvt Ltd —Chennai, Tamil Nadu
- ₹20,00,000 - ₹35,00,000 a month
- Full-time
- Azure
- Master's degree
- SQL
Quick apply
7h
Sr. Associate - F&A - I2C 5B
Genpact India Pvt. Ltd. —Chennai, Tamil Nadu
- Full-time
- Hybrid work
- English
- Finance
- Master's degree
Quick apply
Microsoft Defender Engineer
JUARA IT SOLUTIONS —Chennai, Tamil Nadu
- Full-time
- Microsoft Access
- Azure
- Computer Science
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Track Manager - Qualys
HCLTech —Chennai, Tamil Nadu
- Communication skills
2d
Accounts Receivable Associate
ICON Plc —Chennai, Tamil Nadu
- Full-time
- Microsoft Excel
- Oracle
- Accounting
- Health insurance
Sr. Business Analyst 4C
Genpact India Pvt. Ltd. —Chennai, Tamil Nadu
- Full-time
- English
- Finance
- Master's degree
- Health insurance
Quick apply
Technology Risk Senior Analyst
WPP —Chennai, Tamil Nadu
- Hybrid work
- AI
- Communication skills
Sr. Associate - F&A - AP 5B
Genpact India Pvt. Ltd. —Chennai, Tamil Nadu
- Full-time
- Hybrid work
- English
- Finance
- Master's degree
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Sr. Associate - F&A - I2C 5B
Genpact India Pvt. Ltd. —Chennai, Tamil Nadu
Follow up on customer/internal disputes, customer questions and working between departments to get a resolution.
Quick apply
8h

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Tech Lead

India Health Link Pvt Ltd -
Chennai, Tamil Nadu

Quick apply

Job details

Full-time
₹20,00,000 - ₹35,00,000 a month
7 hours ago

Qualifications

Vulnerability assessment
Azure
React
Encryption
Git
Google Cloud Platform
Master's degree
SQL
AWS
Docker
Bachelor's degree
PostgreSQL
Terraform
Redis
GitHub
APIs
S3
AI
RDS database
TypeScript
Python
React Native
Identity & access management

Full job description

Key Responsibilities

Own the engineering of the whole platform — the Python and FastAPI backend, the React web application, the mobile application, the Artificial Intelligence (AI) plug-ins and the cloud they run on — and be the single person accountable for whether it ships
Lead through senior engineers who each own a group of modules, with the quality, cloud and mobile engineers shared across both, so no module has one person who cannot go on leave
Split the work by what a hospital does rather than by technology: one team on the clinical side — records, orders, laboratory, radiology, pharmacy — and one on everything a hospital runs on — reception, billing, insurance, canteen, administration
Set the technical direction and record it as decisions a new engineer can still read a year later, including the ones that were wrong and why they were changed
Stay hands-on: review every change that touches a clinical record, a price, a ledger or a claim, and write the parts nobody else should be left alone with — tenancy, the billing engine, the synchronisation layer
Be accountable for the pilot hospital going live, and for the fact that a ward at two in the morning is not a place where software gets a second chance

Delivery You Can Commit To

Sequence the work so two teams run in parallel without waiting on each other, and say in the week it becomes likely — not in the week it becomes certain — that a date will move
Hold estimates that hold: break work down until the team can commit to it, and treat an estimate that keeps slipping as a specification problem rather than an effort problem
Own the release path end to end — trunk-based development, migrations only through version control, a deploy anybody on the team can run, and a rollback that has actually been tested
Own what happens when it breaks at three in the morning: who is called, what they can see, and how the hospital is told before it telephones us
Keep the weekly picture honest — what shipped, what slipped, what is at risk and what you need from the business — in a pack somebody outside engineering can read

Correctness, Because This Is a Hospital

Hold the line on the paths where being wrong is not a bug but a harm: allergy and interaction checks, dose limits by age and weight, critical results that must reach a human, and money that must reconcile to the rupee
Make every write auditable and attributable — who did it, when, and what it replaced; corrections by reversal, never by silent overwrite
Build multi-tenancy in from the first table: one platform, many hospitals, and no path by which one can see another's data
Own the security posture — access control, audit, encryption, secrets, and a third-party Vulnerability Assessment and Penetration Test the platform passes before go-live rather than after
Own the standards work that cannot be compressed at the end: Fast Healthcare Interoperability Resources (FHIR) R4, Health Level Seven (HL7) version 2 from analysers, Digital Imaging and Communications in Medicine (DICOM) worklists, and Ayushman Bharat Digital Mission (ABDM) with Ayushman Bharat Health Account (ABHA) linking

The People Part, Which Is Most of It

Take a team that is already building and make it better at it — and own the hiring as it grows, being honest in the interview about what the job is: a hospital, a deadline and a real pilot, not a research project
Grow the senior engineers into people whose review is trusted, so that within a year the hardest module is not yours to review
Give feedback in the week it is useful, run the performance conversations, and make the growth path visible to a junior engineer who cannot yet see it
Protect the team from thrash — take the interruption yourself, decide, and let them keep building
Pair the engineers with the ward: every one of them should have sat beside a nurse or a billing counter before they design for one

Working With the Business

Work with the Product Delivery Manager on scope and sequence, and with the Business Analyst on turning a hospital's actual documents — a tariff sheet, a rate contract, a scheme circular — into something the software can hold
Say no with a reason and an alternative, in a sentence a hospital administrator can repeat to their own board
Own the technical half of a customer conversation: what the platform does today, what it will do by go-live, and what it will not do at all
Keep the demo honest — a screen shown to a hospital is a promise, and this team does not show what it cannot build

Tech Stack

Python · FastAPI · Pydantic · SQLAlchemy · PostgreSQL · React · TypeScript · React Native · AWS · Docker · Terraform · GitHub Actions · pytest · Playwright · FHIR · HL7 v2 · ABDM

We build in Python on FastAPI with React in front of it, on Amazon Web Services. That is what this role writes, reviews and is accountable for, and we would rather say it plainly at the top than have you find out in week one.

What you will work in every day

Backend — Python 3.12 with type hints everywhere, FastAPI, Pydantic v2, SQLAlchemy 2.0 in async mode, Alembic for migrations, and Structured Query Language (SQL) you write yourself when the query matters
Typing, enforced — mypy or Pyright in strict mode, failing the build. Python's type hints are optional at runtime, so we make them non-optional in continuous integration
Frontend — React 18 with TypeScript, function components and hooks, a data-fetching and caching library (TanStack Query or equivalent), schema-based validation (Zod or equivalent), and Vite
Mobile — React Native, sharing types and validation with the web application
API contract — FastAPI generates the OpenAPI schema, and the TypeScript client the web and mobile applications use is generated from it, so the contract cannot quietly drift
Database — PostgreSQL 16: schema design, migrations, indexes and query plans, on Amazon Relational Database Service (RDS) or Aurora
Caching and queues — Redis on Amazon ElastiCache, and a task queue with idempotent consumers, dead-letter handling and replay: Celery, Dramatiq, arq or a PostgreSQL-backed queue
Cloud — Amazon Web Services, which is where we build and run: Elastic Container Service (ECS) Fargate, Simple Storage Service (S3), CloudWatch, Identity and Access Management (IAM), Virtual Private Cloud (VPC), Secrets Manager, and the Mumbai region for data residency
Containers — Docker everywhere, so that a hospital insisting on Google Cloud or Azure is a piece of work rather than a rewrite. That is a possibility we design for, not a thing we are doing this year
Infrastructure as code — Terraform, with the AWS estate defined in version control and nothing clicked in a console
Delivery — GitHub Actions, trunk-based development, short-lived branches, code review on every pull request
Testing — pytest and pytest-asyncio, Vitest or Jest with React Testing Library, and Playwright for the end-to-end journeys that protect money and clinical safety
AI — the AI services are Python too, which is one of the reasons we chose it: models served behind the same contract discipline as everything else, subscribing to events and writing suggestions back, never writing directly into clinical or financial tables
Healthcare standards — Fast Healthcare Interoperability Resources (FHIR) R4, Health Level Seven (HL7) version 2 over Minimal Lower Layer Protocol (MLLP), Logical Observation Identifiers Names and Codes (LOINC), Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT), International Classification of Diseases (ICD-10), Digital Imaging and Communications in Medicine (DICOM), Ayushman Bharat Digital Mission (ABDM) and Ayushman Bharat Health Account (ABHA)

What we need you to have used in production

Python, written with type hints and tested, in a service somebody depended on
A modern relational database, PostgreSQL for preference — schema design, transactions, indexes, and reading a query plan
React with TypeScript — enough to review a component, argue about state and know when a screen is wrong
Amazon Web Services — an estate you owned rather than one you were handed, including what it costs at the end of the month
Docker and a continuous integration pipeline you set up or repaired yourself

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