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# AI-assisted DevOps Engineer

- **Company:** After School Matters, Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Bash Shell, Linux, DevOps, Github, Identity and Access Management, Virtual Private Networks (VPN), Python (Programming Language), Key Management, PostgreSQL, Message Broker, Microsoft Message Queuing, Network Planning and Design, RabbitMQ, Redis, Prometheus, Data Processing, Scripting, Load Balancing, Grafana, Kubernetes Helm Charts, Firewalls (Computer Science), Kubernetes, Vertica, Cloudwatch, Terraform, Docker, Vulnerability Analysis, Golang
- **Published:** August 29, 2026
- **Apply:** https://improvado.applytojob.com/apply/NncNBMJ8rw/Senior-AIassisted-DevOps-Engineer?source=GS

## About the Role

* 5+ years in a DevOps/SRE role
 * Solid hands-on experience with most of our stack (80%): AWS/Azure/GCP, Kubernetes (cluster design, capacity planning, and reliability at scale), Helm charts, CI/CD pipelines (GitHub CI), Terraform, PostgreSQL, ClickHouse, Redis, RabbitMQ, AWS SQS, Temporal, and monitoring/alerting stacks (Prometheus/Mimir, Grafana, CloudWatch)
 * AI-assisted development in practice - actively uses Claude Code / agentic coding to ship, knows where AI-generated code needs validation
 * Strong Linux fundamentals
 * Bash and/or Python scripting
 * Comfortable with ambiguity and high-velocity, fast-shifting priorities - we move like a startup, not a committee
 * Detail-oriented and pedantic, with sharp attention to detail in high-volume, high-stakes systems - accountable and genuinely invested in the quality of your work
 * EST timezone availability
 * Fluency in English

Nice to have

 * Golang or Python development background
 * HashiStack: Vault, Packer
 * ClickHouse administration
 * Experience supporting data-intensive pipelines

## Description

* Manage and evolve our cloud infrastructure on AWS/Azure (Kubernetes) - ensure cluster reliability: capacity planning, autoscaling, incident response, and post-mortems
 * Design and architect scalable, reliable infrastructure to support AI-driven analytics and data processing at scale
 * Build and maintain Helm charts, Terraform, and multi-environment setups
 * Own monitoring and alerting across the stack (Prometheus/Mimir, Grafana, CloudWatch)
 * Administer and optimize storages: PostgreSQL, ClickHouse, Redis
 * Support message brokers: RabbitMQ, AWS SQS, Temporal
 * Drive infrastructure security: secrets management, IAM policies, vulnerability scanning, and encryption
 * Own network design, configuration - VPCs, subnets, firewalls, load balancers, VPNs
 * Monitor and optimize cloud costs - identify waste, right-size resources, and report on spend efficiency
 * Participate in on-call rotation


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