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Runloyal in India seeks a Senior Software Engineer to own flagship initiatives end-to-end—from architecture and delivery plan to production release and post-release iteration. You’ll operate with autonomy in a fast-moving, founder-driven team, driving from ambiguity toward shipped solutions.
You’ll lead technically, set direction across Spring Boot microservices, REST APIs, and frontend in Angular or React, and deliver AI-augmented workstreams using agentic coding and AI-driven testing to push
This is not a sprint-pool position. You'll operate the way forward-deployed engineers do dropped into a problem space and trusted to drive it from ambiguity to shipped. You'll be handed a strategic initiative (a new AI product build, a greenfield module, a flagship platform project), gather context directly from stakeholders and customers, set the technical direction, structure the work, and deliver with teammates leading from the front.
You'll report to the Head of Engineering and work embedded with the Head of Product on new initiatives, in an independent lane with direct access to leadership. We operate AI-native: our newest product surfaces are being designed and built with agentic AI workflows at the core, and you'll help define how AI-native engineering works here not just follow a playbook.
Honest framing: we're a fast-moving, founder-driven team in transition toward modern SaaS delivery practice. You'll have real autonomy and real accountability in equal measure. If you need a fully paved road, this isn't your role. If you've shipped meaningful things through ambiguity before and enjoyed it read on.
1. Strategic build projects end-to-end
Own flagship initiatives from first principles to production: architecture, delivery plan, execution with teammates, release, and post-release iteration. You're accountable for the outcome, not just the code which means demoing early, cutting scope intelligently, and shipping working software on a rhythm.
2. Technical leadership from the front
Set the technical direction on your projects and bring teammates along through visible working practice — pairing, reviewing, and raising the bar rather than issuing instructions. Mentor by doing. Contribute to system design and architecture decisions across the platform, and push our engineering practices forward.
3. AI-augmented delivery — our default operating mode
Independently architect and deliver full projects using AI-augmented workflows: agentic coding (Claude Code or equivalent), spec-driven development, AI-led test generation, and structured context management. This is how the role works day-to-day, not an accelerator bolted on. You'll co-author our internal AI engineering playbooks and raise the bar for how the whole team builds.
4. Core engineering
Design and ship scalable Spring Boot microservices, RESTful APIs, and responsive frontends in Angular or React. Write efficient SQL, optimize JVM performance, own production issues on your surfaces end-to-end, and leave the codebase better documented than you found it.