Who gets hired, and why
Java backend and full-stack
GenAI
.NET
Python backend
Cloud and DevOps
Generalist software
HR-platform and integration
Frontend
Data
Test
Also present
Java backend and full-stack engineers. The employee record, the approval flows, the applicant tracking system and the learning platform are large enterprise services, and Java engineers build many of them. They are the most common opening here, in about the same proportion as across product companies, and many of the roles are full-stack with React or Angular. Java is also the role that takes juniors most often in this Industry Vertical.
GenAI engineers. Recruiting and HR are full of tasks an AI agent can take on. GenAI engineers build the assistant that answers questions about leave, policy and payslips, the agents that screen candidates, message them and schedule interviews, the models that read a CV and compare it with a job by meaning, and the generators that write course material inside learning platforms. They are more common here than at most product companies, and they are concentrated at the companies that handle hiring, sourcing and learning, like Joveo, Cornerstone OnDemand and Weekday. The postings require Python with the OpenAI API, LangChain, LlamaIndex and vector databases such as Pinecone.
.NET engineers. Payroll, time and attendance, benefits enrolment and health-account administration are full of detailed rules and regulated reporting, and much of this software was built on the Microsoft stack. .NET engineers build and modernise it in C# on Azure with SQL, usually with an Angular front end. They are well above their usual share here, concentrated at the benefits administrators, like Alegeus and Alight Solutions, and at payroll suites like isolved and PrismHR, and they are mostly hired with experience.
Python backend engineers. Rippling, one of the large HR suites, builds much of its platform in Python with Django, alongside Go, and the companies that run global employment and payroll, like Gloroots, do the same. That makes Python backend engineers several times as common here as at a typical product company. The postings require Python and Django with React, PostgreSQL and AWS, and many also require Go.
Cloud and DevOps engineers. The payroll and HR suites run as cloud services that pay millions of people on time, so reliability is part of the product. Cloud and DevOps engineers build and run them, in Python, Java and Go on AWS, Azure and Google Cloud, mostly at UKG.
Generalist software engineers. UKG hires many engineers who work across Java, Python and C# rather than in one stack. They form a distinctive group here.
HR-platform and integration developers. Some roles configure and extend the HR platforms themselves, or connect them to payroll providers, benefits carriers and identity systems through integration tools such as Boomi. These developers are far more common here than elsewhere, and the platform-configuration roles take juniors readily.
Frontend engineers. Employees use HR software directly, to apply for leave, enrol in benefits or take a course. Frontend engineers build those screens in React and Angular, with attention to accessibility and micro-frontends.
Data engineers. Benefits administration and payroll exchange large data files with carriers, banks and tax authorities. Data engineers build those feeds and the analytics around them, in Python, Java, Spark and Kafka.
Test engineers. Testers are a smaller part of hiring here than at most product companies, mostly at the assessment and hiring companies, like HackerRank and Radancy, and they automate with Playwright, Selenium and Java.
Also present. Salesforce engineers work on the suites' own sales and service systems, and mobile engineers on employee apps.
Rare here. C/C++ systems engineering, firmware and SAP barely appear.
Where in the Industry Vertical the work is
Market Segment 12.1HR, payroll and workforce management software holds about as much hiring as all the other Market Segments together, through the large payroll and HR suites in The American payroll and HR suite. Cloud, Java, Python and .NET engineers lead there, with the generalist software engineers and HR-platform developers.
Market Segments 12.8, 12.3 and 12.4 follow, each with its own character. Learning, skills and workforce planning hires Java and GenAI engineers for learning platforms and in-app guides. Benefits administration is the .NET and data-engineering corner. The hiring pipeline is the most AI-heavy, with GenAI engineers building job advertising and candidate engagement.
Market Segments 12.2, 12.6 and 12.5 are smaller. Global payroll and employer-of-record companies hire Python and GenAI engineers, assessment companies hire test and Java engineers, and AI sourcing companies hire GenAI engineers.
Market Segments 12.7 and 12.9, background screening and employee engagement, hire little under their own companies' names.
Some companies listed here have their main home elsewhere. They are IDfy (Market Segment 4.3, in Industry Vertical 4, Cybersecurity), Plum (Market Segment 21.4, in Industry Vertical 21, Insurtech), Xoxoday (Market Segment 13.7, in Industry Vertical 13, Martech) and Medallia (Market Segment 15.5, in Industry Vertical 15, Customer service and CX), with a few smaller names. Their hiring is described where they live, not here.
Bengaluru has most of the work. Delhi NCR is a strong second, mainly through UKG's centre in Noida, and Hyderabad and Chennai follow.