Key skills

Software development with Python, Go, JavaScript, or TypeScriptProduction software engineering and operationsCloud infrastructure and distributed systemsObservability and monitoringIncident responseAI-assisted software developmentKubernetesAWSInfrastructure as codeDatadogSumo LogicAmazon CloudWatchService level objectivesResiliency testingDisaster recoveryIndependent project deliveryJavaScriptTypeScriptPythonGoAICloudWatchProblem Solving

About this role

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

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
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