Senior SRE - BeReal
AI Summary
Senior SRE designing, operating, and scaling infrastructure on GCP; defining SLIs/SLOs/error budgets, running incident management, automating workflows, and partnering with engineering squads to improve reliability and cost efficiency.
About this role
About BeReal
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.
Role
Apply and help maintain SRE practices across your scope, including SLIs, SLOs, error budgets, incident management, and postmortem processes
Design, implement, and optimize infrastructure for availability, scalability, reliability, and cost efficiency
Contribute to our observability stack, improving monitoring, alerting, logging, and distributed tracing
Automate infrastructure and operational workflows (e.g., Terraform, Terragrunt, Kubernetes)
Support FinOps initiatives, helping build tools and insights to optimize cloud costs
Partner closely with development squads to improve service reliability, performance, and operational excellence
Contribute to architectural decisions and help apply best practices for building resilient distributed systems
Share knowledge with other Infrastructure engineers, helping raise the bar on reliability and operational excellence
Analyze performance bottlenecks and work on solutions such as scaling strategies, service optimizations, and system debugging
Profile
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)
Solid experience applying SRE practices (SLOs, incident management, observability, reliability engineering)
Strong operational mindset with experience managing production incidents and driving reliability improvements
Comfortable collaborating with and supporting other engineers, with the ability to weigh in on technical decisions
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
Our Stack
Operator: Kubernetes
CI/CD: Argocd, Github actions
Cloud provider: GCP
Monitoring: Datadog
Infra as code: Terraform / Terragrunt
Languages: golang / node
Datastores: Spanner / PostgreSQL / Redis
Benefits
Competitive salary based on experience
Swile Lunch voucher
Gymlib (100% covered by Voodoo)
Premium healthcare coverage with SideCare, 100% covered for you and your family
Wellness activities in our Paris office
Skills
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