Platform Engineer

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 new 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 highly scalable data platform
Rock Star Team: Opportunity to work closely with a seasoned and extremely talented founding team who have 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 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.

Experience
5-9 yrs