Who you are
You reach for automation before you reach for a runbook, and a manual process is something you want to delete, not document
You treat AI agents as power tools and have real opinions about how to drive them — especially when to stop trusting them
You are comfortable wearing many hats
You have a willingness to learn and teach in a fast-paced, collaborative environment
You have a strong desire to automate things
You readily provide constructive feedback, and also proactively seek feedback to improve yourself
You like to get your hands dirty and tinker with/stress test new technologies
6+ years of experience building and maintaining large-scale cloud-native infrastructure (AWS and/or GCP)
Demonstrated fluency directing AI coding agents (e.g.
Claude
Code, Cursor, or similar) to build, operate, and debug real infrastructure; and robust and experienced judgment on verification of their work A track record of replacing manual operations with durable automation
Experience working with the containerization technologies Docker, Kubernetes, and Istio or a similar service mesh technology
Experience with SQL database technologies such as MySQL, Google BigQuery, and Google Spanner
Experience with stream technologies such as Kafka and Amazon Kinesis
Experience with pub sub technologies such as AWS SNS and Google Pub/Sub
Experience with serverless computing technologies such as AWS Lambda and Google Cloud Functions/Google Cloud Run
Experience with infrastructure-as-code tools such as Terraform
Experience with observability tools such as Datadog, Prometheus, and Grafana
Strong computer science and software engineering fundamentals
Experience with SOC2 and PCI Compliance processes and requirements
What the job involves
As a Senior/Staff Site Reliability Engineer, you will play a critical role in building out and maintaining the infrastructure that powers all of our systems, as well as all of the supporting tools to ensure that those systems are running smoothly
Automation is the core of this role. We expect you to hunt down manual toil wherever it hides and engineer it out of existence — and to do that with the best tooling available, including AI agents you direct to write, test, and ship infrastructure code
We treat fluency with modern AI as a first-class SRE skill, along with cloud platform literacy, a strong dedication to observability, and a laser-focus on improving developer experience. You will work closely with nearly every engineering team at Attain, helping to ensure that our systems are operating at peak efficiency, and preparing us to handle the scale of our future growth
Use AI agents as a force multiplier for yourself and others
Create, improve, and maintain internal agentic tools and harnesses
Add automation to both existing and new systems until manual processes, and the toil that comes with them, simply go away
Write Terraform modules for deploying infrastructure resources via our GitLab pipelines
Develop Helm charts for deploying services and jobs in our Kubernetes cluster
Define metrics, network policies, and routing rules for our Istio service mesh
Monitor and maintain our GCP BigQuery, Spanner, and CloudSQL databases
Pipe metrics to our Google-managed Prometheus instance and build out Grafana dashboards and alerts to increase visibility on our systems
Experiment with GCP offerings, 3rd party vendors, AI tooling, and open-source projects to further automate and secure day-to-day operations
Pair with engineering leads to instrument and monitor critical functionality
Participate in architecture design and capacity planning discussions to ensure that our systems are scalable, maintainable, reliable, and secure
Build, maintain, and improve our CI/CD pipeline