Engineering Manager, Platform Reliability
$522,000–$588,000 year
HybridWarsaw, Mazovia, Poland
Warsaw, Mazovia, PolandHybridFull Time$522,000–$588,000 yearTECHLarge
Full TimeLargeTECH
Job Summary
Build and lead a new Platform Reliability team, defining the roadmap for core systems like load shedding, rate limiting, and circuit breakers. Partner with platform, infrastructure, and product teams to embed reliability into architecture, protecting Asana under real-world load while improving traffic handling and failure modes. Establish best-in-class operating practices for incident response, postmortems, and proactive risk management through SLOs and capacity planning. Coach engineers, conduct code reviews, and drive tradeoffs between speed, safety, and long-term maintainability across distributed systems. This role is based in the Warsaw office with a Monday, Tuesday, and Thursday in-office schedule.
Required Qualifications
- 5+ years of engineering management experience
- ideally with backend, infrastructure, or reliability-focused teams
- Familiarity with building and operating services in the cloud (e.g. AWS) and/or using cloud-native systems (e.g. Kubernetes)
- Experience in building and operating production systems at scale
- care deeply about failure modes, resilience, and graceful degradation
- Being comfortable working with distributed systems concepts such as backpressure, capacity planning, traffic management, and explicit reliability targets
- Favoring long-term solutions over quick fixes and automation over manual labor
- You are an excellent coach and communicator who helps engineers grow, creates clarity in ambiguous situations, and strengthens collaboration across teams
- Ability to partner with product, infrastructure, and engineering leadership to make tradeoffs and drive decisions
- Demonstrated curiosity about AI tools and emerging technologies, including the opportunities they provide in production engineering
- This is a role for someone who can lead through influence, coach engineers, and raise the bar for execution and collaboration
- You'll help shape what Platform Reliability means at Asana
- You'll partner closely with platform engineering, infrastructure, and product teams
- You'll define the reliability roadmap for a rapidly growing global platform
- You'll help build the systems and team practices that keep Asana resilient at scale
- This role is based in our Warsaw office with an office-centric hybrid schedule
- The standard in-office days are Monday, Tuesday, and Thursday
- Most Asanas have the option to work from home on Wednesdays
- Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements
- We offer a Contract of Employment (UoP) for our employees in Poland
Desired Qualifications
- Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making
- Strong software engineering background and can contribute meaningfully to technical discussions, design tradeoffs, and execution even if you are primarily a people leader
- 5+ years of engineering management experience, ideally with backend, infrastructure, or reliability-focused teams
- Familiarity with building and operating services in the cloud (e.g. AWS) and/or using cloud-native systems (e.g. Kubernetes)
- Experience in building and operating production systems at scale, and you care deeply about failure modes, resilience, and graceful degradation
- Being comfortable working with distributed systems concepts such as backpressure, capacity planning, traffic management, and explicit reliability targets
- Favoring long-term solutions over quick fixes and automation over manual labor
- You are an excellent coach and communicator who helps engineers grow, creates clarity in ambiguous situations, and strengthens collaboration across teams
- Ability to partner with product, infrastructure, and engineering leadership to make tradeoffs and drive decisions
- Demonstrated curiosity about AI tools and emerging technologies, including the opportunities they provide in production engineering
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