About the role
Responsibilities:
- Innovate at the Forefront of AI: Work with a dynamic team developing next-gen AI-driven infrastructure. Your contributions will directly influence the next generation's observability.
- Ownership and Impact: As an early member of our platform team, you'll have a hands-on role in designing large-scale analytics pipelines to process terabytes of data. You will be responsible for rethinking the observability platform, leveraging innovations in AI.
- Startup Agility, Big Challenges: Enjoy the best of both worlds: the agility and innovation of a startup, combined with the challenge of building a highly scalable data platform
- Rock Star Team: Opportunity to work closely with a seasoned and extremely talented founding team that has built multiple billion-dollar products from the ground up. Get a front seat to see how things are built from scratch in deep-technology startups.
Requirements:
- Experience in building low-latency and high-throughput analytics infrastructure.
- Deep understanding and hands-on experience building distributed systems, large-scale data analytics pipelines, and messaging systems.
- Strong knowledge of analytical databases like Clickhouse, Apache Pinot, cloud infrastructure, Kubernetes and microservice architecture, and Open Telemetry.
- Experience working with observability tools like Datadog, Splunk, and Grafana is a plus.
- Passion for AI and leveraging cutting-edge technologies.
- Someone who is curious and thinks differently to challenge inefficiencies in the status quo.
- A problem-solver mindset who loves building from the ground up.
- Need candidates only from the top IITs with CS backgrounds.
Tech Stack and Tools:
- Large-scale analytics infrastructure, data pipelines, and stream processing.
- Kubernetes and Microservices Architecture.
- High-performance distributed systems.