About the role
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.