All roles

Writes and maintains the code behind products. Entry-level hiring in India mostly tests data structures and algorithms first, then how you write and reason about code.

Builds the services, APIs and data storage behind an app. Most of the job is correctness, performance and keeping things running.

Builds what people see and touch in the browser, and makes it fast, accessible and pleasant to use.

Works across the browser, the server and the database. Common in startups, where one person ships a whole feature.

Builds and ships Android apps. India is one of the largest Android markets, so the work is everywhere from startups to banks.

Finds out whether software works before customers do, increasingly by writing code that tests code.

Builds iPhone and iPad apps in Swift, from screens and navigation to networking and the App Store.

Configures and extends Salesforce for a company. Objects, security, automation and reports, then code and integrations as the job grows.

Builds and runs the ServiceNow platform that a company's IT support runs on. Forms, workflows, scripts and integrations.

Writes the software inside devices, from sensors to cars. A natural fit for electronics and electrical graduates.

Turns business questions into queries, numbers and charts that someone can act on.

Builds the pipelines and warehouses that get data from where it's created to where it's analysed, reliably and on time.

Trains models and, more often, gets them working reliably in a real product.

Trains and ships neural networks for images, text or speech. More modelling than an ML engineer, more shipping than a researcher.

Gets models out of notebooks and keeps them running. Pipelines, deployment, monitoring and retraining.

Builds the dashboards and data models a business runs on, in Power BI or Tableau on top of a warehouse.

Sits between data engineering and analysis. Turns raw tables into clean, tested models with SQL and dbt.

Works out how people use a product and whether changes helped, with SQL, experiments and dashboards.

Uses statistics, experiments and models to answer questions a business actually has, and explains the answer clearly.

Builds products on top of large language models. Mostly software engineering, plus retrieval, prompting and careful evaluation.

Keeps software building, deploying and running. Automation, infrastructure and being calm when things break.

Builds the internal platform other engineers ship on. Clusters, pipelines, templates and self-service tooling.

Keeps servers, users and networks working. Patching, backups, access, monitoring and fixing what breaks.

Keeps databases fast, safe and backed up. Tuning, indexing, replication, upgrades and access control.

Breaks into systems with permission, then writes up how and how to fix it. Web apps, networks and cloud.

Designs and builds defences. Secure infrastructure, identity, detection and helping developers ship safe code.

Designs systems for customers or teams on a cloud platform, and explains the trade-offs to people who'll pay for them.

Designs, builds and runs infrastructure on a public cloud. A large share of IT services hiring.

Keeps business applications running for the people who use them. Incidents, logs, databases and a lot of careful detective work.

Watches for attacks, investigates alerts and responds when something gets through.

Finds and tests trading or pricing ideas with maths, statistics and data. Most of the job is research that doesn't work, and noticing when it does.

Builds the fast, correct systems quants and traders run on. Pricing libraries, backtesters, market data and execution.

Measures market, credit and operational risk for a bank or fund, and reports it to people who set limits.

Reads companies' numbers, builds models and valuations, and turns them into recommendations, in research, banking or a company's finance team.

Studies how economies and markets behave with data, for a central bank, ministry, think tank, consultancy or company.

Designs studies and analyses data carefully enough that the conclusions hold, in pharma, health, government or industry.

Decides what a team builds and why, and makes sure it gets built. Users, priorities, specs, data and a lot of conversations.

Researches what users need and designs screens that meet it, from wireframes to polished prototypes.

Turns what a business needs into requirements a team can build, and checks the result with data. Common in IT services and banks.

Writes the guides, API references and help pages that make software usable.

Keeps a team's process working and its delivery predictable. Ceremonies, blockers, metrics and stakeholders.

The CS paper of GATE, used for M.Tech admissions and some PSU jobs. Mapped from the GATE 2027 syllabus (IIT Madras), engineering maths included.

The DA paper of GATE, for M.Tech and M.S. admissions in data science and AI. Mapped from the official GATE 2027 syllabus (IIT Madras).

The ST paper of GATE, for M.Tech and Ph.D. admissions in statistics and some research jobs. Mapped from the official GATE 2027 syllabus (IIT Madras).

The MS paper of JAM, for M.Sc. admissions at the IITs and IISc. About a third maths, two thirds statistics. Mapped from the official JAM syllabus.

Paper 2 of UGC NET in Computer Science and Applications, for assistant professor posts and JRF. Mapped from the ten-unit syllabus NTA publishes; check the current copy on ugcnet.nta.ac.in.