Software Engineer
AI Summary
Designs, implements, and deploys scalable infrastructure and distributed systems for a financial platform, contributing to team strategy and high engineering standards.
About this role
Who we are
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. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
What you’ll do
Responsibilities
- Contribute to team strategy, roadmap, tooling process, and culture.
- Scope, design, implement, and deploy robust solutions.
- Make appropriate tradeoffs between reliability throughput, latency, resiliency, engineering, velocity and cost.
- Innovate, design, and implement software solutions that contribute toward improvement in infrastructure, resiliency, reliability, efficiency, and management at scale.
- Uphold the company’s high engineering standards and improve the overall codebase and processes.
Who you are
Minimum requirements
Must have a Bachelor's degree or foreign equivalent in Computer Science, or a related field, plus two (2) years of work experience in software development.
Must also have two (2) years of experience in each of the following:
- Designing and deploying scalable infrastructure within major public cloud environments, specifically using AWS, Azure, or GCP;
- Cloud-native networking, compute instances (EC2), and storage solutions to support global, high-availability financial services;
- Developing software in Go and Ruby to build and maintain robust distributed systems and internal tooling;
- Writing clean, maintainable code to automate infrastructure management and develop the core services that power microservice architecture;
- Kubernetes and containerization technologies to manage large-scale server fleets and microservices;
- Designing orchestration strategies that ensure system reliability, efficient resource allocation and seamless deployments across a distributed environment; and
- Designing, building, and debugging high-scale distributed systems using open-source tools, analyzing complex system architectures, identifying performance bottlenecks, and implementing data-driven optimizations that improve latency, resiliency, and cost-performance ratios.
Salary: $156,800 - $235,200/yr.
This salary range represents the base salary range for the role and any sales commissions/sales bonuses targets, if applicable, would be in addition to the base salary.
40 hrs/week
50% Telecommuting permitted.
Multiple Positions Available.
Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. CA64
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Skills
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