Engineering Manager, Infrastructure
Leads multiple infrastructure engineering teams, setting strategy, guiding architecture, developing senior talent, and driving reliability and scalability. Requires 10+ years of software development experience, 4+ years of engineering management experience, and strong cross-functional leadership.
About the job
Responsibilities
- Lead with scope and autonomy by driving impact across multiple teams or a significant infrastructure area independently, translating organizational goals into concrete execution plans, and delivering results across parallel workstreams.
- Define strategy and roadmap for the area, anticipating internal user needs, technical challenges, reliability risks, and business priorities, then communicate a clear plan to the team and senior leadership.
- Develop senior talent by coaching senior engineers and emerging leaders, creating meaningful stretch opportunities, and giving candid feedback that improves individual and team performance.
- Drive cross-functional alignment with product, security, data, support, and adjacent engineering teams; resolve ambiguity at team boundaries and align stakeholders around shared priorities.
- Hire and scale the team by attracting, developing, and retaining senior engineering talent while maintaining a high hiring bar and building an inclusive, high-performing organization.
- Set high standards for reliability, availability, scalability, incident response, and engineering craft, and address systemic issues affecting internal users across Stripe.
- Partner with Staff engineers on architecture decisions involving distributed systems, service discovery, configuration propagation, production change management, data processing, and internal platform design.
Requirements
- Bachelor's degree or equivalent practical experience.
- 10+ years of software development experience.
- 4+ years of engineering management experience with a demonstrated track record of autonomous impact.
- Experience leading high-complexity engineering teams delivering multiple difficult, high-impact workstreams in parallel.
- Ability to influence and align cross-functional stakeholders without direct authority and communicate a clear direction others follow.
- Meaningful recruiting experience, including attracting and developing senior engineering talent.
- Technical depth sufficient to guide architecture decisions and maintain high standards for product quality, reliability, and engineering craft.
Nice-to-haves
- Experience building or operating high-availability distributed systems, internal platforms, or developer infrastructure used by a broad engineering audience.
- Experience with service networking, service discovery, service mesh, feature flags, configuration management, progressive delivery, deployment tooling, or production change governance.
- Experience with data infrastructure, including large-scale storage, data orchestration, batch compute, or processing frameworks such as Apache Airflow, Apache Spark, Apache Iceberg, Apache Hadoop, or Apache Celeborn.
- Experience improving reliability through observability, health checks, incident response, automated recovery, capacity planning, or reducing the impact of production changes.
- Experience designing secure access controls, audit systems, approval workflows, or governance mechanisms for production infrastructure.
- Experience with cloud infrastructure and distributed systems technologies such as Amazon Web Services, DynamoDB, Aurora, S3, Ruby, Go, Java, or Python.
- Product mindset for internal platforms, including empathy for internal users, focus on self-service, and commitment to making safe workflows straightforward to adopt.
Work Arrangement
- Office-assigned employees in most locations are expected to spend at least 50% of their time each month in their local office or with users. Expectations may vary by role, team, and location.
Skills
Distributed Systems, Service Discovery, Configuration Management, Production Change Management, Data Processing, Apache Airflow, Spark, Apache Iceberg, Amazon Web Services, DynamoDB, Aurora, Python, Go, Java
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