The ad says“5+ years of experience with backend technologies”
The ad says“Experience with infrastructure as code (Terraform, cloudformation, etc)”
The ad says“Experience writing production code in Ruby, Go, or Python”
The ad says“Experience with infrastructure as code (Terraform, cloudformation, etc)”
The ad says“Deep understanding of Kubernetes internals such as coredns/kubedns, vertical and horizontal pod autoscaling”
The ad says“Experience with opentelemetry, statsd, or Prometheus”
The ad says“Working knowledge of compliance frameworks like PCI and SOC2”
The ad says“Proven track record of scaling and troubleshooting production systems or services”
The ad says“Experience with opentelemetry, statsd, or Prometheus”
The ad says“Experience working in a public cloud environment”
The ad says“Experience writing production code in Ruby, Go, or Python”
The ad says“Experience writing production code in Ruby, Go, or Python”
The ad says“Strong fundamental knowledge of SLAs and SLOs, as well as ideas around how to implement them at a fast-paced company”
The ad says“Strong fundamental knowledge of SLAs and SLOs, as well as ideas around how to implement them at a fast-paced company”
The ad says“Working knowledge of compliance frameworks like PCI and SOC2”
The ad says“Experience with opentelemetry, statsd, or Prometheus”
The ad says“Familiarity with troubleshooting using tcpdump or wireshark”
The ad says“Experience with infrastructure as code (Terraform, cloudformation, etc)”
The ad says“Familiarity with troubleshooting using tcpdump or wireshark”
Our engineering team is responsible for taking products from ideation to being used by tens of thousands of users every week
We’re responsible for everything from building the product to technical operations (and everything in between such as getting better with outages, improving reliability, and reducing tech debt…)
We are looking for a Software Engineer - Reliability who knows how to balance moving fast while moving safely, understands (and loves) SLOs and SLAs, and has experience scaling systems from 1 to 10 to 100
Some recent team accomplishments include:
Scaling (successfully) our request volume by 100% Month over Month (every month for the last 2 years)
Designing and launching model serving infrastructure in Google Cloud for our risk systems
Building and maintaining the infrastructure to support hundreds of deployments per month across a team of 30 engineers
You will design and implement developer tooling that makes deployments safer, reproducible, and easy to slowly rollout (or rollback)
Architect (with the rest of the team) the future version(s) of our key systems taking into account order of magnitude scaling every year
Partner with company operations and engineering to achieve and maintain compliance standards such as PCI and SOC2
Add or improve introspection for all our key systems, identify scaling bottlenecks, and work with engineering on resolving them
Own shared services such as feature flagging, experimentation, in-app messaging, etc
Mentor engineering on how to design reliable, fault-tolerant, systems and easy-to-use runbooks for when things go wrong
Benefits
401K, FSA, and Commuter Benefits: We offer all employees access to tax-efficient benefit options alongside competitive base compensation
Paid parental leave: Found supports employees through all stages of life, which is why new parents employed by Found qualify for 16 weeks of flexible parental leave
Meaningful equity: Everyone on our team should feel and act like an owner, which is why Found offers industry-competitive equity to all of our employees
Flexible vacation policy: Vacations, appointments, mental health days- take the time you need, whenever you need to with our flexible time-off policy
Work anywhere: We have Found offices in both SF and Seattle and for team members who work outside those cities, Found also supports fully remote working
Health benefits: Comprehensive medical, dental, and vision benefits are always 100% covered for employees, 75% covered for dependents
Preferred experience
Proven track record of scaling and troubleshooting production systems or services
5+ years of experience with backend technologies
Experience working in a public cloud environment
Deep understanding of Kubernetes internals such as coredns/kubedns, vertical and horizontal pod autoscaling
Experience writing production code in Ruby, Go, or Python
Strong fundamental knowledge of SLAs and SLOs, as well as ideas around how to implement them at a fast-paced company
Working knowledge of compliance frameworks like PCI and SOC2
Experience with opentelemetry, statsd, or Prometheus
Experience with infrastructure as code (Terraform, cloudformation, etc)
Interest in financial services, accounting, and/or self-employment
Familiarity with troubleshooting using tcpdump or wireshark
