Live opening · Posted 6 hours ago

Software Engineer, Resource Automation

Stripe · South San Francisco, CA
Greenhouse
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At a glance

The key details from the original listing.

Posted 6 hours ago
CompanyStripe
LocationSouth San Francisco, CA
SkillsAWS, Azure, GCP, Docker, Kubernetes
SourceGreenhouse
ListedPosted 6 hours ago

About the role

Description supplied by the original job listing.

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
Design, implement, test, deploy, and maintain backend services that support internal infrastructure and microservice operations.
Develop automation and tooling that streamlines resource provisioning, deployments, and operational workflows for internal engineering teams.
Produce and review technical designs; evaluate tradeoffs across reliability, latency, throughput, resiliency, cost, and engineering velocity.
Improve service operability by implementing monitoring/alerting, participating in on-call support as applicable, performing root-cause analysis, and addressing recurring failure modes.
Uphold engineering standards through code reviews, documentation, testing practices, and iterative improvements to existing services and systems.
Who you are
Minimum requirements
Must have a Bachelor's degree or foreign equivalent in Computer Science, Computer Engineering, Electrical Engineering or a related field, plus 2 years of related work experience in software engineering.
Must also have 2 years of experience in each of the following:
Backend development in Go, including building production services and writing automated tests;
Distributed systems and microservices, and designing and implementing service APIs, including HTTP/REST or gRPC;
Deploying and operating services using common cloud primitives computing, networking, and storage in cloud environments including AWS, Azure, GCP, or OCI;
Containers and orchestration, including Docker and Kubernetes and operating containerized services in production; and
Observability and production troubleshooting, including using logs, metrics, and tracing to diagnose issues in Linux-based environments.
Salary: $156,800.00 - $235,200.00/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. CA73
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