SDE III - Fullstack

SDE 3 at GreyLabs means owning technical bets end-to-end: writing the design doc, making the architecture call, and shipping it. You'll work across Voice AI Agents (our flagship autonomous voice platform) and Voice Analytics (conversation intelligence for CXOs).

Responsibilities:

• Own complex engineering problems end-to-end from scoping and design through implementation, testing, and production operations, including personally driving resolution of production incidents.
• Write technical design documents, lead design reviews, and make architecture calls.
• Identify and resolve cross-cutting technical challenges: latency, reliability, security, and scalability across the platform.
• Work with product teams from problem definition to translate requirements into clean technical solutions and push back where the trade-offs warrant it.
• Mentor SDE1 and SDE2 engineers through code reviews, design feedback, and structured pairing.
• Evolve engineering standards API design, observability, testing, and incident response.

Requirements:

• 5-8 years of engineering experience; track record of owning and shipping complex systems.
• Deep backend expertise: designed and operated distributed systems in production; familiar with failure modes at scale.
• Strong Python (Django) and Golang for production systems' idiomatic, performant code.
• Solid experience with React.js and modern frontend development.
• Working knowledge of AWS (EC2 S3 Lambda, RDS, or equivalents).
• Strong fundamentals in relational databases (PostgreSQL preferred), data modelling, and query optimisation.
• Led technical design: wrote design docs, ran design reviews, and owned architecture decisions cross-functionally.
• An appetite for learning and figuring things out at a growing startup in an emerging category, where the problems are often new and the playbook is still being written.

Strong Signals:

• Voice AI stack in production: Deepgram, Whisper, AWS Transcribe, ElevenLabs, Google TTS, or equivalent ASR/TTS tools.
• LLM orchestration (LangChain, LlamaIndex, or custom) in a production voice or conversational AI system.
• Streaming or event-driven architectures.
• BFSI-adjacent domain experience compliance monitoring, audit trails, and data sensitivity requirements in practice.
• Containerisation and CI/CD Docker, Kubernetes, and pipeline tooling (GitHub Actions, Jenkins, or equivalent).