We're seeking an experienced Engineer to join our engineering team, handling massive-scale data processing and analytics infrastructure that supports over 1B daily events, 3M+ DAU, and 50k+ hours of content. The ideal candidate will bridge the gap between raw data collection and actionable insights, while supporting our ML initiatives.

Lead and scale the Infrastructure Pod, setting technical direction for data, platform, and DevOps initiatives.

Architect and evolve our cloud infrastructure to support 1B+ daily events — ensuring reliability, scalability, and cost efficiency.

Collaborate with Data Engineering and ML pods to build high-performance pipelines and real-time analytics systems.

Define and implement SLOs, observability standards, and best practices for uptime, latency, and data reliability.

Partner with leadership on long-term architecture and scaling strategy — from infrastructure cost optimization to multi-region availability.

Lead initiatives on infrastructure automation, deployment pipelines, and platform abstractions to improve developer velocity.

Own security, compliance, and governance across infrastructure and data systems.

Previously a Tech Co-founder / Founding Engineer / First Infra Hire who scaled a product from early MVP to significant user or data scale.

- 5–12 years of total experience, with at least 2+ years in leadership or team-building roles.




- Deep experience with cloud infrastructure (AWS/GCP),
- Experience with containers (Docker, Kubernetes), and IaC tools (Terraform, Pulumi, or CDK).
- Hands-on expertise in data-intensive systems, streaming (Kafka, RabbitMQ, Spark Streaming), and distributed architecture design.
- Proven experience building scalable CI/CD pipelines, observability stacks (Prometheus, Grafana, ELK), and infrastructure for data and ML workloads.
- Passionate about building teams, not just systems — can recruit, mentor, and inspire engineers.

Experience managing infra-heavy or data-focused teams.

Exposure to ML infrastructure, data governance, or feature stores.

Prior experience in the OTT / streaming / consumer platform domain is a plus.

Contributions to open-source infra/data tools or robust engineering community presence.

Opportunity to build and scale infrastructure from the ground up, with full ownership and autonomy.

High-impact leadership role shaping our data and platform backbone.

Competitive compensation + ESOPs.

Increase in developer velocity (faster pipeline deployments, reduced MTTR).

High system availability and data reliability SLAs met.

Team growth, retention, and technical quality.

Skills: ml infrastructure,data governance,ci/cd pipelines,containers,cloud infrastructure

📌 Engineering Manager - Infrastructure (DevOps) (Bengaluru)
🏢 Kuku
📍 Bengaluru