Systems Engineer, AWS Incident Response
Amazon is hiring a Systems Engineer, AWS Incident Response for a remote role open to applicants in Australia. Level rates it ; you can apply on Amazon.
Level's read on this job
- Level rates this role Uses AI ●●○○: an ordinary role that requires AI tools.
- The posting lists this role as remote.
- Tools and skills the posting cites include AWS, Python and Generative AI.
- Level lists 21,000+ other open roles at Amazon.
- The role was posted within the past week.
AI in this role
Systems Engineer leading AWS incident response who applies scripting, automation, and generative AI to reduce toil and accelerate mitigation.
You will make real-time decisions under pressure, deep-diving the largest and most complex technical environment in the world. You will develop expertise across AWS services, networking, and infrastructure, building a breadth of knowledge that few roles offer. Your scope spans all of AWS rather than a single service. You will own operational processes end to end and use data to find the next improvement in how we detect and mitigate faster. You will also have the opportunity to grow your development skills by taking on coding projects that accelerate incident response and reduce toil.
This role includes participation in an on-call rotation covering weekdays, weekends, and holidays. On-call shifts fall within your local daytime hours.
Key job responsibilities
- Lead high-severity incident response calls end to end: assess impact, coordinate resolvers across AWS service teams, communicate clearly under pressure, manage escalations, and drive the incident to mitigation with documentation throughout.
- 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.
Basic qualifications
- Experience in site reliability engineering (SRE), systems engineering, systems administration, DevOps, security administration, or network administration
- 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
- Demonstrated ability to troubleshoot complex technical problems spanning multiple systems or services
Preferred qualifications
- Knowledge of TCP/IP and networking protocols such as HTTP and DNS
- Experience designing and developing scripts to automate operational burdens and reviewing scripting changes to ensure they meet the standards for maintainability, scalability and security
- Familiarity with incident management tooling and workflows in a large-scale production environment
- 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
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
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.
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How we rate this
Systems Engineer, AWS Incident Response at Amazon rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where incident response was part of your work. What did you do?
- Tell me about a project where distributed systems was part of your work. What did you do?
- Tell me about a project where automation was part of your work. What did you do?
- Tell me about a project where scripting was part of your work. What did you do?
- Walk me through how you've used AWS in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Incident Response, Distributed Systems, Automation, Scripting, and AWS. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.
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