Taskrabbit Senior Site Reliability Engineer at Taskrabbit responsible for improving reliability, scalability, and operational maturity of the engineering platform. Partners with multiple teams to keep production systems reliable and resilient.
Responsibilities
We are looking for a Senior Site Reliability Engineer to join our Site Reliability Engineering team at Taskrabbit and help improve the reliability, scalability, and operational maturity of our engineering platform.
The SRE team sits within Engineering and partners closely with Cloud Infrastructure, Developer Productivity, Security, Architecture, and application engineering teams to keep our production systems reliable, scalable, and resilient.
This is a hands-on engineering role for someone who enjoys solving complex production challenges, building automation, and improving how systems operate at scale. You'll work across applications and infrastructure to investigate reliability issues, strengthen observability and incident response, and build tools and practices that make our systems easier and safer to run.
At the Senior level, we expect you to independently own complex technical problems, collaborate effectively across teams, and help drive lasting improvements to production reliability.
Improve production reliability. Partner with engineering teams to define and evolve SLIs, SLOs, error budgets, and availability, latency, and capacity targets. Identify reliability risks and implement improvements that make our production systems more resilient.
Strengthen observability and incident response. Improve telemetry, alerting, dashboards, and on-call practices. Reduce noisy or unactionable alerts and turn incident learnings into lasting improvements.
Investigate complex production issues. Troubleshoot problems spanning applications, infrastructure, data stores, networking, and deployment systems. Collaborate with engineering teams to identify root causes and implement durable solutions.
Reduce operational toil through automation. Build automation, self-service tooling, and operational capabilities that reduce manual effort, improve reliability, and make day-to-day operations more efficient.
Build AI-powered and agentic operational capabilities. Develop AI-assisted and agentic workflows for incident triage, investigation, runbook execution, alert analysis, and remediation. Explore opportunities for autonomous operations with appropriate safety controls and human oversight.
Collaborate on reliability improvements. Work with application engineering, Cloud Infrastructure, Developer Productivity, and other teams to improve system resilience, share operational learnings, and promote reliable engineering practices.
Participate in on-call and incident response. Serve in the SRE on-call rotation, supporting complex incidents and escalations from engineering teams. As application teams take greater ownership of their on-call rotations, help improve escalation practices, operational readiness, and shared reliability standards.
On-call expectations: As a member of the Taskrabbit engineering organization, you'll participate in both primary and secondary on-call rotations, typically serving one week in each rotation approximately every 12–13 weeks.
Qualification
Proven production operations experienceExperience with performance engineering
Required
Strong Site Reliability Engineering background, with at least 3 years of experience in SRE or equivalent production reliability engineering roles, including hands-on ownership of production reliability and operational improvements.
Strong understanding of SRE principles and practices, including SLIs, SLOs, error budgets, toil reduction, incident management, and postmortems.
Proven production operations experience, including participation in on-call rotations, troubleshooting high-severity incidents, performing root-cause analysis, and driving corrective and preventive actions.
Hands-on experience building and improving observability using platforms such as Datadog, OpenTelemetry, or similar technologies, including metrics, logs, traces, alerting, and dashboards.
Hands-on experience with AWS and Kubernetes in production environments, ideally Amazon EKS.
Experience with infrastructure as code and deployment automation, using tools such as Terraform, GitOps, or ArgoCD.
Strong software engineering skills in languages such as TypeScript or Ruby or Python, with experience building automation or internal platform tooling.
Ability to independently own complex technical projects, make sound technical decisions, and collaborate across engineering teams to deliver reliable solutions.
Strong written and verbal communication skills, including the ability to explain technical issues, risks, and tradeoffs to engineering partners and stakeholders.
Preferred
Experience with distributed systems and technologies such as Kafka, Redis, or MySQL/RDS.
Experience with performance engineering, capacity planning, or cloud cost optimization.
Experience modernizing infrastructure or migrating production workloads.
Experience building AI-powered operational automation, incident-response agents, or engineering productivity tooling.