Own and run operational health reviews, and build and maintain the dashboards, metrics, and monitoring that surface trends before they become incidents.
Improve detection accuracy and speed. Identify patterns across events and build proactive mechanisms that prevent recurrence.
Deep-dive operational data to find systemic issues, measure response effectiveness, and prioritize improvements against what the data shows is degrading.
Identify gaps in operational processes, documentation, and tooling, and build or improve mechanisms that reduce time-to-detection and time-to-mitigation.
Apply scripting, automation, and generative AI to accelerate incident response and reduce toil, including where AI can augment human judgment during an incident or surface insight from operational data at scale.
Work with service teams so that learnings from each incident drive corrective actions to completion, closing the loop between what broke and what gets fixed.
Mentor peers in your areas of technical and operational strength.
A day in the life
When you are on call, incidents take priority. You join the incident bridge, assess the scope of impact from real-time metrics and dashboards, engage the resolver teams that own the affected services, and drive the event to mitigation, escalating when progress stalls. Off-call, you work to reduce time-to-detection and time-to-mitigation: deep-diving recent events for detection that lagged the impact or alarms that trigger without customer impact, correcting the signal behind them, leading operational health reviews, driving other teams' corrective actions to completion, and owning projects that strengthen AIR's detection and incident management, including automation you can build yourself.
About the team
AWS Incident Response (AIR), part of the AWS Resilience organization, ensures high availability of AWS. When major incidents hit, AIR leads the response, coordinating resolver teams across AWS and driving mitigation. We move fast, but not carelessly, obsessing over observability of the cloud and continuously improving our detection and response speed and accuracy. Each incident feeds improvements to our detection, processes, and tooling, making the next one shorter or preventing it entirely. This is a high-visibility, high-impact role with a global view of AWS health that few teams get to see.
3+ years of systems engineering, or 3+ years of technical support experience
Experience in written and verbal communication skills to communicate with technical and non-technical audiences, including senior leadership
Experience scripting in one or more language (e.g. Bash, Python, Perl, Ruby), or experience scripting in modern programming languages
Understanding of operating systems (Linux), networking fundamentals, and distributed systems
Experience with operational monitoring, alerting, and metrics (CloudWatch, Datadog, Grafana, or equivalent)
Demonstrated ability to troubleshoot complex technical problems spanning multiple systems or services
Familiarity with incident management tooling and workflows in a large-scale production environment
Experience with AWS services and cloud infrastructure
Experience using generative AI or automation to solve operational problems or accelerate workflows
Track record of authoring post-incident analyses (post-mortems) and driving corrective actions to completion
Experience building operational dashboards, runbooks, or automation that improved team efficiency
Knowledge of infrastructure-as-code and deployment tooling, such as CDK, CloudFormation, Terraform, Ansible, or similar
Experience coordinating across globally distributed teams and time zones
Comfort operating with ambiguity and incomplete information, and a self-starting approach to identifying what needs doing
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 104,500.00 - 160,000.00 USD annually