Staff Software Engineer

Overview

Lead technical direction across a major feature area or system domain as a Staff Software Engineer, owning outcomes on ambiguous, cross-cutting problems and guiding engineers beyond your own team.

What you'll do

• Lead architecture and design for systems with significant scope and blast radius, ensuring decisions hold up under real growth, compliance, and reliability constraints.
• Pay attention to application performance.
• Exercise judgment on where AI-assisted tooling accelerates delivery and where deeper human design thinking is required.
• Partner with Product, UX, and other engineering teams early, shaping problems before solutions are locked in.
• Build working relationships and technical credibility beyond your immediate team.
• Set engineering practices for code review norms, testing standards, and incident review rigor that get adopted by teams you don't sit on.
• Identify and address systemic risk (technical debt, architectural drift, single points of failure) before it becomes an incident.
• Mentor Senior and mid-level engineers on technical judgment: how to scope ambiguity, when to escalate vs. decide, and how to use (and not over-rely on) AI tooling.
• Help engineers build the skill of writing decisions down clearly enough that others can disagree productively.

What you'll need

• Hands-on experience using AI-assisted development tools (e.g., Claude Code, Devin, Windsurf, or similar) in a professional setting.
• 8+ years of professional software engineering/development experience.
• Extensive hands-on experience and expertise in object-oriented design methodology and application development using Java/J2EE, Design Patterns, DSA, Multithreading, Spring MVC, SQL, Web services.
• Experience with elastic search and data streaming tools like Kafka.
• Good understanding of web services and SOA related standards like REST/OAuth/JSON.
• Agile development (Scrum, XP, or Pair Programming) experience.
• Ability to use a wide variety of open-source technologies and cloud services (Azure, Google Cloud, or Amazon Web Services).
• Familiarity with public cloud providers such as Azure, Google Cloud, or AWS.

Nice to have

• Proficiency in Kubernetes, including cluster deployment, scaling, and management.

Details

• Location: Bengaluru, India.
• Office-first culture, encouraging three days a week in office for most roles; verify specific requirements with your recruiter during the first interview.