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.
Key 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.
Who You Are
- Previously a Tech Co-founder / Founding Engineer / First Infra Hire who scaled a product from early MVP to significant user or data scale.
- 512 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.
What We Offer
- 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.
- Continuous learning budget and certification support.
- A team that values velocity, clarity, and craftsmanship.
Success Metrics
- Reduction in infra cost per active user and event processed.
- Increase in developer velocity (faster pipeline deployments, reduced MTTR).
- High system availability and data reliability SLAs met.
- Successful rollout of infra automation and observability frameworks.
- Team growth, retention, and technical quality.
Skills: ml infrastructure,containers,ci/cd pipelines,data governance,cloud infrastructure
