Engineering Manager - Cloud Infrastructure

Description :

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.

Responsibilities :

- 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.

- Mentor and grow engineers, fostering a culture of technical excellence, ownership, and continuous learning.

- 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.

Requirements :

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

- 5 to 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.

- Comfortable being hands-on when needed, reviewing design docs, debugging issues, or optimizing infrastructure.

- Strong system design and problem-solving skills; understands trade-offs between speed, cost, and scalability.

- Passionate about building teams, not just systems, can recruit, mentor, and inspire engineers.

Preferred Skills :

- Experience managing infra-heavy or data-focused teams.

- Familiarity with real-time streaming architectures.

- 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 strong engineering community presence.