Software Engineer, Site Reliability

Upstart is an AI lending marketplace focused on reducing the cost and complexity of borrowing through technology. The Software Engineer on the Site Reliability Engineering team will build and operate systems that improve the reliability, resiliency, and observability of production environments, including observability platforms, incident response systems, operational automation, and resiliency capabilities.

Responsibilities:

• Build and improve the tooling, services, and automation that help engineers understand and improve the reliability of production systems
• Develop shared observability capabilities that make metrics, logs, traces, service health, and customer impact easier to understand and act on
• Improve incident response and operational readiness through better tooling, automation, standards, and actionable production signals
• Build resiliency capabilities that help teams identify failure modes, reduce operational risk, and recover effectively from infrastructure or application failures
• Identify recurring operational toil and reliability problems and replace manual processes with durable software and automation
• Use AI as an integrated part of software development and operational problem solving, while identifying opportunities for AI enabled capabilities that improve incident investigation, observability, reliability, and engineering efficiency

Requirements:

• 3+ years of professional experience in software engineering, site reliability engineering, or a related engineering discipline
• Strong software development skills in one or more general purpose programming 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
• Demonstrated ability to independently deliver well scoped engineering 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, with an interest in continually evolving how you use these tools as their capabilities advance
• This role is available in the following locations: Remote
• The majority of our employees can live and work anywhere in the U.S
• Experience with Kubernetes, AWS, infrastructure as code, and cloud native production environments
• Experience building internal reliability, observability, incident management, or operational automation tools
• Experience with observability platforms such as Datadog, Sumo Logic, CloudWatch, or similar technologies
• Experience with reliability practices such as service level objectives, capacity planning, resiliency testing, disaster recovery, or operational readiness
• Experience operating distributed applications with complex dependencies and high availability requirements
• Experience building AI enabled operational workflows, tools, or automation that extend beyond individual code generation