Pay Range
Annually:
$100,000 - $150,000
No equity
Description
What You'll Do
Develop infrastructure and tooling solutions for complex product engineering projects towards a business goal; ship software that matters to our customers and our company
Scale application infrastructure to handle over 1M requests per minute using pragmatic & distributed architectures
Develop a fully automated observability stack based on the existing SaaS system, and extend it to predict capacity needs based on the usage patterns
Improve engineering velocity by implementing best practices and frameworks; improve coding efficiency and quality
Be a steward of quality, scalability, security, and performance. You'll work with other engineers to ensure that we have a solid foundation that serves our customers and enables the team to continue building a great product
Drive sound, data-driven decision-making; analyze data insights to uncover opportunities to improve architecture for a great customer experience
Implement excellence in engineering processes & culture across teams
Collaborate with product and engineering teams effectively and with empathy; promote technical learning across teams
Mentor and advocate for junior engineers; push the boundary of their comfort zone. Build trust and respect in the team
Interview and evaluate engineering candidates' technical capabilities to help grow our engineering team
Qualifications: Technical Skills
You’re experienced with scaling and shipping complex, distributed services in AWS or equivalent using infrastructure as code
You’re an expert at building infrastructure and tools that make it simple to develop and run code; your stakeholders love to use the things you build
You have a wide understanding of the system and application architectures, and have a strong observability background
You have strong programming fundamentals, ideally in a variety of languages like Ruby, Python, or Node
You’re an expert at measuring query latencies, resource allocation and management
You have experience deploying to and orchestrating containers (Docker, Kubernetes, etc.)
You prioritize automation and continuous testing in order to optimize speed while simultaneously enhancing quality and security
You have an understanding of operational toil, observability, performance, and scalability
You are familiar with incident response and management tools like PagerDuty
