Who gets hired, and why
Java backend and full-stack
Fintech
Cloud and DevOps
Mobile
Test
Go
GenAI
Frontend and data
Also present
Java backend and full-stack engineers. A bank's accounts, transfers, loans and statements run on a core system that must never lose a transaction, and the digital bank on the phone sits on top of it. Java engineers build both, mostly at Candescent, the regulatory-reporting company Regnology, the cash-machine maker NCR Atleos and the card platforms, like Pismo, CARD91 and Vegapay. They are by far the most common opening here. The postings require Spring Boot and Hibernate with PostgreSQL or Oracle, and many also require Python or Node, so a Java engineer here is often expected to work in more than one language. They are hired almost entirely with experience.
Software Engineer, Fintech. Banking software companies also hire under a plain software engineer title. Most of these roles are ordinary backend work at Candescent and the card and banking-as-a-service companies, in Java or Python with Spring Boot, Docker and the main clouds, where banking is the setting rather than the skill. A smaller part is defined by banking itself, such as implementing a bank's core system, and some of these postings require Finacle, the core banking product many Indian banks run on. Together, fintech software engineers are well above their usual weight here.
Cloud and DevOps engineers. Banking platforms now run as cloud services for many banks at once. Cloud and DevOps engineers run them, mostly at Candescent and the banking-software company FIS, in Python with Terraform, Kubernetes and Go on Google Cloud and AWS, with Dynatrace and Prometheus for watching them run. Their jobs stay open longer than most here.
Mobile engineers. The digital bank lives on the customer's phone. Mobile engineers build the banking app, almost all at Candescent, in React Native with Swift and Kotlin. They are more common here than at most product companies.
Test engineers. Testers hold less than their usual place. They automate in Java with Selenium, Playwright and Cucumber, and many postings add performance testing with JMeter, because a bank's busiest day cannot fail.
Go engineers. Pismo, the card-issuing and banking-as-a-service platform, builds its ledgers and card processing in Go on AWS, and it hires most of the Go engineers here.
GenAI engineers. GenAI is less common here than at most product companies. It appears in voice agents that talk to customers and collect what is owed, and in financial-crime software, in Python with conversational AI tools, LangGraph and the OpenAI API. Several postings also require responsible-AI and AI-governance skills, because banks must explain what a model decided. These roles take juniors more readily than most here.
Frontend and data engineers. Frontend engineers build banking and compliance screens in React and TypeScript, and data engineers build reporting and surveillance pipelines in Python and Java, some on BigQuery.
Also present. .NET engineers at the regulatory-reporting companies, like Regnology and Gresham, engineers at Verint Financial Compliance, a compliance-recording company that captures traders' calls and messages, full-stack engineers, generalist software engineers, JavaScript and Node engineers at the financial-crime start-ups, like Facctum and Flagright, and a few C/C++ and mainframe engineers.
Rare here. SAP, Salesforce and firmware work barely appear.
Where in the Industry Vertical the work is
Market Segment 19.1Core banking and banking as a service (BaaS) holds most of the hiring. The core and the digital bank is the Java and mobile corner, through Candescent, with fintech software engineers, cloud and test engineers beside them. Cards, ledgers and banking as a service hires Java and Go engineers for card-issuing and ledger platforms.
Market Segment 19.2Fraud prevention, AML and regtech is second. Reporting and surveillance hires Java and .NET engineers for regulatory reporting, and engineers for Verint Financial Compliance. Financial crime hires Java, cloud, test and Node engineers for anti-money-laundering and fraud software.
Market Segment 19.3ATMs, conversational AI and collections hires little but is the most open to juniors. The branch and the cash machine hires Java engineers at NCR Atleos, and The conversation and the collection hires GenAI engineers for voice agents.
Some companies listed here have their main home elsewhere. They are Diebold Nixdorf (Market Segment 27.3, in Industry Vertical 27, Retail tech), and Bureau, SecuredTouch, AiPrise, HyperVerge, Jumio and Signzy (Market Segment 4.3, in Industry Vertical 4, Cybersecurity). Their hiring is described where they live, not here.
Bengaluru has most of the work, through Candescent and the card and banking-as-a-service companies. Hyderabad follows through Candescent's second centre and NCR Atleos, Pune through Regnology and FIS, and Chennai hires a little.