# Sr/Staff Site Reliability Engineer, Consumer Apps

**Company:** [Attain](https://hotfix.jobs/companies/attain)
**Location:** Chicago, IL
**Role:** DevOps / SRE
**Experience:** 6+ years
**Skills:** Terraform, Kubernetes, Istio, Docker, GCP, BigQuery, Spanner, Cloudsql, Prometheus, Grafana, AI Agents, Kafka, AWS Lambda, Cloud Run
**Posted:** 2026-07-15

> Sr/Staff SRE building and automating infrastructure for a fintech platform using AI agents, Terraform, Kubernetes, and GCP services. Focus on eliminating toil, improving observability, and ensuring reliability at scale for consumer apps processing billions in transactions.

## Job Description

## Responsibilities
- 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.

## Requirements
- 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.

## Nice-to-Haves
- 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.

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