Staff Software Engineer at Weekday AI

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Staff Software Engineer at Weekday AI. This role is for one of the Weekday's clients. Salary range: Rs 6000000 - Rs 13000000 (ie INR 60-130 LPA). Min Experience: 10 years. Location: Remote (India) . JobType: full-time. As a Staff Software Engineer, you will be responsible for driving the technical direction and execution of complex, high-impact initiatives that span teams and systems. Your influence will extend beyond your immediate team—shaping architectural decisions, elevating engineering practices, and mentoring future leaders.. Responsibilities. . Architect and build scalable, high-availability systems that run 24/7 and support mission-critical workflows. . . Own and deliver multi-tier, high-volume applications with performance, accessibility, and resilience in mind. . . Write high-quality, maintainable code with a strong focus on developer experience and system performance. . . Drive and uphold engineering best practices, including code reviews, test coverage, monitoring, and observability. . . Provide technical leadership across cross-functional teams, guiding architecture, trade-offs, and execution. . . Mentor and sponsor engineers to grow their impact and strengthen engineering culture. . . Lead large-scale, cross-team projects from concept to production. . . Deliver clear, objective feedback to peers and junior engineers through structured reviews and 1:1s. . . Outcomes You’ll Drive. . . Customer Impact. – Develop a deep understanding of product metrics and directly contribute to measurable improvements through agile iteration. . . . Technical Leadership. – Lead complex projects, own key systems, and define roadmaps in collaboration with managers and product teams. . . . Velocity. – Deliver consistent output and high impact, even within challenging, legacy, or high-complexity codebases. . . . Engineering Quality. – Set the benchmark for code quality and technical excellence across the team. . . . Cross-Team Communication. – Ensure alignment across squads and stakeholders through effective communication. . . . Platform Resilience. – Build scalable, monitored, and self-healing systems with best-in-class availability. . . Requirements. . 10+ years of deep experience building and scaling backend systems in production environments. . . Proven ability to develop features with performance, reliability, and scalability in mind. . . Strong product intuition—balancing technical scope with MVP delivery. . . Expertise with message queues, background jobs, and distributed system patterns. . . Familiarity with observability tools (e.g., GCP Logging, Prometheus, NewRelic). . . Demonstrated ability to leverage AI tools (e.g., code generation, debugging, automation) and stay current with emerging AI trends. . . Experience with LLM architecture, pipelines, or applied AI tooling is a strong bonus. . . Nice to Have. . Bachelor’s degree in Computer Science or related field (or equivalent experience). . . Proficiency in one or more general-purpose programming languages (e.g., Java, Python, Ruby, Go). . . Experience integrating with third-party APIs, including handling rate limits, failure cases, and retries gracefully. . . Example Problems You’ll Work On. . . Scaling Workflows Platform. – Transform workflows into a plug-and-play automation platform where new triggers, actions, and integrations can be added in hours, not weeks. . . . Fault-Tolerant Infrastructure. – Design the backbone of a high-scale, event-driven system that guarantees reliability, speed, and safety at massive scale. . . . Agentic Automation & Adoption. – Lead the roadmap for next-gen agentic automation and build tooling that empowers every team to move faster with confidence.. . Company Location: India.