Senior Software Engineer

About Stripe

Stripe, LLC. 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.

Responsibilities

• Design, build, and maintain high-scale, distributed systems.
• Work within a team to build core networking solutions, including load balancing, mTLS networking, fleet health & observability used by product teams to build and operate microservices.
• Build a great customer experience for internal company teams using Infra and play a key role in enabling Infra to power products globally and at scale.
• Scope, design, implement, and deploy robust solutions, making appropriate tradeoffs between reliability, throughput, latency, resiliency, engineering velocity, and cost.
• Innovate, design, and implement software solutions that contribute towards improvement, resiliency, reliability, efficiency, and management at scale.
• Contribute to team strategy, roadmap, tooling, process, and culture.
• Set clear goals and provide regular feedback on team member performance.

Minimum Requirements

Must have a Bachelor's Degree or foreign equivalent degree in Computer Science, or a related field, plus five (5) years of post-bachelor's progressive work experience in software engineering. In the alternative, the employer is willing to accept a Master's Degree or foreign equivalent in Computer Science, or a related field, plus three (3) years of experience in Software Engineering.

Must also have three (3) years of experience in the following:

• Software development including in Cloud systems (AWS, Azure, GCP, and OCI)
• Creating technical architecture and design
• Building and operating infrastructure and tools that empower developers
• Developing software using Java and Go
• Developing, maintaining, and debugging distributed systems built with open source tools
• Breaking down large, complex systems, identifying shortcomings and optimization opportunities, and making data-driven cost-performance tradeoffs to influence design decisions
• Utilizing systems and tools including Kubernetes, EC2, Envoy, Linux, and Puppet