About the company
Keka is a modern people platform for growing enterprises. HR, payroll and talent live in one core system, so teams spend less time on admin and more time on their people. More than 12,500 companies trust Keka, from fast-growing small businesses to large enterprises and global companies with teams across borders.
We build software the way HR actually works. It feels human, sets up in days instead of months, and has AI built into every part of HR. With customers across India, the US and the Middle East, our Engineering team is growing fast to keep up. That is where this role comes in.
About the role
As an Engineering Manager at Keka, you’ll own the delivery, quality and people outcomes for one or more product squads. You’ll work with Product, Design, QA and Architecture to turn business goals into engineering execution tied to measurable customer outcomes. In your first year, success means delivering squad commitments predictably with a high quality bar, growing the engineers on your team and embedding AI-augmented workflows into how your squads build.
You’ll join the Engineering team, which owns the design, build and reliability of Keka’s products. We are going language agnostic, so the team picks the right language and stack for each problem. The team works with high ownership, clear standards and a strong bias for execution.
What you'll do
Own squad delivery end to end, from planning and architecture to release, quality and business impact
Show the full description
Lead a team of 8 to 12 senior engineers and tech leads through hiring, coaching, performance management and talent development
Partner with Product, Design, QA and Architecture to turn business goals into clear engineering plans and trade-off decisions
Improve delivery predictability and quality by tracking sprint accuracy, cycle time and DORA metrics without gaming them
Mentor and support senior engineers and tech leads, where relevant
Drive adoption of AI coding tools and cloud-native practices such as CI/CD, observability and IaC across your squads
What you'll bring
12 to 14 years of experience in software engineering, with at least 4 years leading teams of 10 or more engineers
Hands-on skill in system design, architecture discussions and cloud-native, distributed systems
A track record of owning delivery outcomes end to end, with a customer-first mindset and clear business metrics to show for it
Experience in structured hiring, coaching and performance management with measurable outcomes
Strong fluency with delivery metrics and daily use of AI coding tools, with a clear point of view on AI-augmented engineering
Experience in B2B SaaS, HR tech or compliance-sensitive domains such as GDPR, SOC2 and PII processing is a plus
