Engineering Manager, Infrastructure
About the role
Stripe is a financial infrastructure platform for businesses. Millions of companies, from the world's largest enterprises to the most ambitious startups, use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead.
The Infrastructure organization builds and operates the shared platforms that make it possible for engineering teams to build, deploy, run, and scale reliable products. The organization owns foundational capabilities across service networking and discovery, safe feature and configuration changes, data storage and orchestration, and batch computing. Our platforms support a global engineering audience and power systems at significant scale. This includes the control plane for secure service-to-service communication across tens of thousands of microservices, service and feature deployment infrastructure that helps teams introduce and recover from changes safely, infrastructure for running Stripe's containerized services, and data platforms for storage, pipeline orchestration, and large-scale processing. Our batch compute platforms support technologies including Apache Airflow, Apache Spark, Apache Iceberg, Apache Hadoop, and Apache Celeborn.
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 your area, anticipating internal user needs, technical challenges, reliability risks, and business priorities, then communicating a clear plan to your 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, resolving ambiguity at team boundaries and aligning 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
- Operate with rigor by setting high standards for reliability, availability, scalability, incident response, and engineering craft, and by addressing systemic issues that affect 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 with 10+ years of software development experience
- 4+ years of engineering management experience with a demonstrated track record of autonomous impact as an engineering manager
- Experience leading high-complexity engineering teams that deliver multiple difficult, high-impact workstreams in parallel
- Proven ability to influence and align cross-functional stakeholders without direct authority, communicating a clear direction that others follow
- Meaningful recruiting experience, including a track record of attracting and developing senior engineering talent
- Technical depth sufficient to guide architecture decisions and hold teams to a high standard for product quality, reliability, and engineering craft
Qualifications
- 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
- A product mindset for internal platforms, including empathy for internal users, a focus on self-service, and a commitment to making safe workflows straightforward to adopt
Benefits
- equ