Vagas de Python abertas para India.

Build and maintain scalable, distributed, fault-tolerant data pipelines on GCP, including BigQuery-based lakehouse layers and Dataproc-driven Delta Lake workflows

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

Collaborate regularly and proactively with a globally distributed team

Collaborate remotely with a globally distributed team.

Manage a growing engineering team to optimise the quality and velocity of both development and operations

Work with the most advanced operating systems and network application technologies available

Design the user experience of new capabilities in the tool

Manage a growing engineering team to optimise the quality and velocity of both development and operations

Engage customers during presales to gather requirements and explain our technology

Engage customers during presales to gather requirements and explain our technology

Manage a growing engineering team to optimise the quality and velocity of both development and operations

Define and drive backend architecture for AI governance systems, including auditability, policy enforcement, and enterprise reporting capabilities, to improve governance coverage and enable reliable enterprise adoption.

Execute Dedicated Geo migrations and cutovers end-to-end, including planning, pre-cutover validation, execution, and post-cutover verification and cleanup.

Implement and evolve the AI audit event pipeline, including event ingestion, schema normalization, storage design, partitioning, retention, and export capabilities.

Diagnose business problems before building solutions. Map workflows, identify constraints, and confirm whether AI is the right intervention. Be prepared to say "this doesn't need AI" when that's the honest answer.

Implement well-scoped backend features across the AI Governance product area, including event normalization utilities, storage layer enhancements, API endpoint additions, export support, and registry integrations

Brainstorming and collaborating with other members of the Research Staff to define new LLM research initiatives

You build software and you understand how it gets shipped. You can write a production service end-to-end, and you can also diagnose why a CI pipeline is slow or a test suite is flaky.

Participate in security code and system reviews, threat modeling and risk assessments.

Lead technical discovery for strategic opportunities. Map business goals to measurable technical success criteria and an evaluation plan.

Lead architecture and implementation for enterprise deployments that use Deepgram speech-to-text (STT), text-to-speech (TTS), and voice agent (VA) capabilities.