Lead the design and delivery of reliable, secure, and well-monitored AI systems that automate important workflows and create measurable business value.
Lead complex projects involving multiple teams, from identifying the problem through design, implementation, rollout, and ongoing support.
Define technical roadmaps, system designs, trade-offs, milestones, and success measures aligned with product strategy, customer outcomes, and business goals.
Design, build, and maintain scalable backend systems, APIs, data platforms, and cloud infrastructure.
Contribute hands-on to production code, design reviews, code reviews, testing strategy, performance tuning, observability, and incident learnings.
Champion engineering excellence through CI/CD, test automation, monitoring, alerting, runbooks, security practices, and production readiness.
Mentor engineers, raise technical standards, and help senior engineers grow their technical depth, product thinking, ownership, and leadership skills.
Collaborate across US and India teams, communicate technical decisions clearly, resolve trade-offs constructively, and support hiring for senior engineering talent.

12+ years of professional software engineering experience, including experience as a senior technical leader or Staff-level individual contributor.
Strong hands-on experience designing and building agentic solutions, agent workflows, automation systems, or AI-powered platform capabilities.
Deep expertise in system design, software architecture, reliability, observability, performance tuning, production operations, and cloud-native deployment.
Strong programming experience in Java, Scala, Python, or similar backend technologies.
Experience with databases, messaging systems, caching layers, and data platforms such as PostgreSQL, Snowflake, Redis, Aerospike, Kafka, Pulsar, or similar technologies.
Proven ability to lead complex technical initiatives across multiple teams, services, or product areas.
Strong product and business judgment, with the ability to connect technical decisions to customer value, OKRs, and measurable outcomes.
Experience using AI-assisted engineering practices responsibly across the SDLC and evaluating outputs for correctness, security, reliability, and production readiness.
Excellent communication, influencing, and mentorship skills.

Staff Software Engineer

Key skills