Base Salary
$142k - $197k/yr
Responsibilities
- Build and improve tooling, services, and automation for production reliability.
- Develop shared observability capabilities covering metrics, logs, traces, service health, and customer impact.
- Improve incident response and operational readiness through tooling, automation, standards, and production signals.
- Build resiliency capabilities that identify failure modes, reduce operational risk, and support recovery from infrastructure or application failures.
- Replace recurring operational toil and manual processes with durable software and automation.
- Use AI throughout the software development and operational problem-solving lifecycle and identify opportunities for AI-enabled reliability workflows.
- Independently deliver well-scoped engineering projects, contribute to technical design, and collaborate across engineering teams.
Requirements
- At least 3 years of professional experience in software engineering, site reliability engineering, or a related engineering discipline.
- Strong development skills in one or more general-purpose languages such as Python, Go, JavaScript, or TypeScript.
- Experience designing, building, testing, and operating production software, internal tooling, or infrastructure.
- Experience with cloud infrastructure, distributed systems, observability, monitoring, or production operations.
- Experience participating in on-call or incident response for production systems.
- Ability to independently deliver well-scoped projects, navigate technical ambiguity, and collaborate effectively across engineering teams.
- Demonstrated experience using AI-assisted development tools across multiple stages of the software engineering lifecycle.
- Preferred experience with Kubernetes, AWS, infrastructure as code, and cloud-native production environments.
- Preferred experience building reliability, observability, incident management, or operational automation tools.
- Preferred experience with Datadog, Sumo Logic, CloudWatch, or similar observability technologies.
- Preferred experience with service level objectives, capacity planning, resiliency testing, disaster recovery, operational readiness, distributed applications, and high-availability systems.
- Preferred experience building AI-enabled operational workflows, tools, or automation beyond individual code generation.
Benefits
- Remote role with most work conducted from anywhere in the U.S.; teams generally meet in person once or twice per quarter for 2–4 consecutive days.
- Medical, dental, vision, wellness resources, and supplemental health coverage for Canada.
- 401(k) or Group Retirement Savings Plan with a company match of $2 for every $1 contributed, up to $15,000 annually.
- Employee Stock Purchase Plan for eligible U.S. employees.
- Life insurance, disability coverage, paid time off, sick leave, company holidays, and paid family and parental leave.
- Family-centered fertility, parenthood, and caregiving benefits and an Employee Assistance Program.
- Financial wellness resources, annual wellness allowance, and annual productivity allowance.
- Team events, company updates, employee resource groups, catered lunches, and stocked office kitchens.
- Bonus opportunities and annual equity grants are offered in addition to base pay.
Tech Stack
Categories
About Upstart
Upstart (NASDAQ: UPST) is the leading AI lending marketplace, connecting millions of consumers to more than 100 banks and credit unions that leverage Upstart’s AI models and cloud applications to deliver superior credit products. With Upstart AI, lenders can approve more borrowers at lower rates while delivering the exceptional digital-first experience customers demand. More than 90% of loans are fully automated, with no human intervention by Upstart. Founded in 2012, Upstart’s platform includes personal loans, automotive retail and refinance loans, home equity lines of credit, and small-dollar “relief” loans. Upstart is based in San Mateo, California. Upstart Network, Inc. NMLS #936133 | All mortgage lending conducted by Upstart Mortgage, LLC. NMLS #2443873 nmlsconsumeraccess.org