Staff Engineer

Responsibilities:

• Lead design and implementation of core platform services, data models, and workflow engines.
• Make architecture decisions that balance delivery speed, reliability, and long-term scalability.
• Establish and uphold engineering best practices across code quality, testing, observability, and security.
• Apply strong systems fundamentals (concurrency, transactions, indexing, caching, consistency) to ensure correctness and performance across complex data workflows
• Build operationally excellent services with proper monitoring, alerting, and performance tuning.
• Collaborate with AI-focused engineers to integrate LLMs, vector search, and orchestration tools into production workflows.
• Own features from idea through production: scoping, design, implementation, code review, deployment, and iteration.
• Partner with Product and Design to translate customer workflows into elegant, performant solutions.
• Work across the stack as needed, with a primary focus on backend, data, and workflow orchestration.
• Mentor and support other engineers through design reviews, code reviews, and technical guidance
• Contribute to a culture of high ownership, humility, and collaboration.
• Support hiring, onboarding, and continuous improvement of engineering processes.
• Engage with customers and early users to understand real-world workflows and validate assumptions.
• Use feedback and data to prioritise work that drives meaningful product and business impact.

Requirements:

• 7-12 years of professional software engineering experience, with significant experience in complex, data-heavy enterprise or workflow-oriented SaaS products.
• Demonstrated ownership of at least one major system or product area that delivered clear business impact.
• Strong experience building data-centric applications, including relational and NoSQL databases, data modelling, indexing, and performance optimisation.
• Hands-on experience delivering applied AI in production environments, such as integrating LLMs, vector search, and RAG-based workflows.
• Proficiency with modern cloud infrastructure (AWS, Azure, or GCP), containerization, CI/CD pipelines, and infrastructure-as-code.
• Proven ability to operate effectively in fast-moving, ambiguous, early-stage environments.
• Strong written and verbal communication skills; comfortable collaborating across cultures and time zones.
• Ability to work on-site in Bengaluru on a full-time basis.