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Engineer and deploy AI-enabled secure code scanning capabilities and “Golden Images” to drive secure-from-the-start adoption

Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.

Design, implement, and maintain cloud infrastructure on Azure

Design, develop, test, and maintain robust backend and full-stack web applications

End-to-End Product Ownership

Lead the architecture and development of scalable, secure, and cost-efficient data platforms on AWS.

You are a builder: You don't just use tools; you build them. You have 5+ years of experience in SRE, DevOps, DevEx or Platform Engineering with a heavy emphasis on software development.

Lead technical discovery to uncover business and technical objectives, set appropriate expectations of the Supabase platform, and define the criteria for success, ensuring customers can receive the guidance they need to achieve

Build robust, scalable, leading-edge container images

You’ll lead a team focused on productising business workloads

6+ years of professional experience building web applications using modern software engineering processes.

Serve as a trusted technical hand-on operator for our customers

Supervise a small, but growing IT engineering team in India, overseeing critical IT automation, AI and DevOps projects

You thrive at the intersection of hands-on technical leadership and people management — you're equally comfortable in a design review and a 1:1 conversation about career growth

Investigate and resolve customer technical issues across cloud security posture management, vulnerability scanning, threat detection, container/Kubernetes security, identity & access management, network analysis, and data security

Collaborate on impactful customer big data projects, such as creating reference architectures, developing how-to guides, and building production-ready efficient, robust and scalable tools and technologies.

Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration

Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration

Embed customer supportability requirements into the earliest stages of the Product Development Lifecycle (PDLC) by participating in design reviews and technical planning with R&D.

Build and maintain scalable machine learning solutions in production

Own and evolve Twilio's suite of business intelligence tools, driving governance, performance, and long-term roadmap decisions

Develop, test, and deploy code for prototypes and new product features.

Lead architecture and system design for complex, distributed software systems; guide teams toward scalable, maintainable solutions.