SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Attain (formerly Klover) is a fast-growing fintech platform serving over one million active users monthly, processing and moving more than $1.5 billion annually. The company provides real-time access to financial tools, rewards, and services designed to help people improve their financial lives.
As a Senior/Staff Site Reliability Engineer, you will be responsible for building, maintaining, and scaling the infrastructure powering all Attain systems. This is a highly technical, automation-focused role where you'll eliminate manual toil and engineer durable solutions using modern cloud-native technologies and AI agents as force multipliers.
Key responsibilities include:
- Use AI coding agents (Claude Code, Cursor, etc.) as a force multiplier to build, operate, and debug infrastructure, with strong judgment on verification of their work
- Create and maintain internal agentic tools and harnesses
- Write Terraform modules for infrastructure deployment via GitLab pipelines
- Develop Helm charts for Kubernetes service and job deployments
- Define metrics, network policies, and routing rules for Istio service mesh
- Monitor and maintain GCP BigQuery, Spanner, and CloudSQL databases
- Instrument systems with Prometheus metrics and build Grafana dashboards and alerts
- Experiment with GCP offerings, third-party vendors, AI tooling, and open-source projects
- Pair with engineering leads on instrumentation and monitoring of critical functionality
- Participate in architecture design and capacity planning discussions
- Build, maintain, and improve CI/CD pipelines
You'll collaborate closely with backend, frontend, data science, and product teams to deliver scalable, high-quality solutions. The role emphasizes reliability, security, performance, and developer experience at scale.
Attain office hybrid schedule: Chicago, IL and New York, NY require 4 days in-office, 1 day remote. Remote arrangements are negotiable for the right candidate.
Qualifications:
- 6+ years of experience building and maintaining large-scale cloud-native infrastructure (AWS and/or GCP)
- Demonstrated fluency directing AI coding agents to build, operate, and debug real infrastructure with robust judgment on verification
- Track record of replacing manual operations with durable automation
- Experience with Docker, Kubernetes, and Istio or similar service mesh technology
- Experience with SQL database technologies (MySQL, Google BigQuery, Google Spanner)
- Experience with stream technologies (Kafka, Amazon Kinesis)
- Experience with pub/sub technologies (AWS SNS, Google Pub/Sub)
- Experience with serverless computing (AWS Lambda, Google Cloud Functions/Cloud Run)
- Experience with infrastructure-as-code tools (Terraform)
- Experience with observability tools (Datadog, Prometheus, Grafana)
- Strong computer science and software engineering fundamentals
- Experience with SOC2 and PCI compliance processes and requirements
