Lead SRE - BeReal

Voodoo

About The Position

At BeReal, we are dedicated to authenticity in social media. By encouraging users to share unfiltered moments, we foster genuine connections and celebrate real life. We are now an international team of 100+ and have 40M+ monthly active users. Backed by Voodoo, our team is fully focused on scaling BeReal into an iconic social network used by hundreds of millions. The Infrastructure team provides the backbone that powers the company’s growth, ensuring the scalability, efficiency, and reliability of our platform. We design and operate our infrastructure on GCP. Working hand in hand with developers, we enable teams to ship fast and efficiently while maintaining a strong focus on costs and performance. Our mission is to create a developer-friendly, cost-effective, and highly automated infrastructure that supports innovation at scale.

Requirements

Strong knowledge of Kubernetes
Experience with high traffic, distributed systems architectures, and related tools (service discovery, config/secret management, etc.)
Strong knowledge of one Cloud provider (AWS or GCP preferred)
Proven experience defining and operating SRE practices (SLOs, incident management, observability, reliability engineering)
Strong operational mindset with experience managing production incidents and driving reliability improvements
Leadership and mentoring experience, with the ability to influence technical decisions across teams
Ownership-driven – If something isn’t working, you don’t wait for instructions; you improve it
Pragmatic and impact-oriented – You balance reliability, delivery speed, and business priorities
Performance vs cost-conscious – You make decisions that align with both technical excellence and financial sustainability

Responsibilities

Define and drive SRE practices across the organization, including SLIs, SLOs, error budgets, incident management, postmortem processes, and long-term reliability improvements across the platform
Design, implement, and optimize infrastructure for availability, scalability, reliability, and cost efficiency
Own and evolve our observability stack, improving monitoring, alerting, logging, and distributed tracing
Drive automation of infrastructure and operational workflows (e.g., Terraform, Terragrunt, Kubernetes)
Lead FinOps initiatives, developing tools and insights to optimize cloud costs
Partner closely with development squads to improve service reliability, performance, and operational excellence
Influence architectural decisions and establish best practices for building resilient distributed systems
Mentor and support Infrastructure engineers, helping raise the bar on reliability, operational excellence, and technical execution
Analyze performance bottlenecks and work on solutions such as scaling strategies, service optimizations, and system debugging