Site Reliability Engineer – Public Sector

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September 3

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unstructured.io

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Artificial Intelligence • Enterprise • SaaS

unstructured. io is a data transformation company that specializes in extracting and converting complex enterprise data into formats compatible with large language models (LLMs). It offers enterprise-grade connectors to capture data from various sources and transform it into AI-friendly formats, enhancing the data science process by minimizing the time spent on data cleaning and preparation. This enables organizations to efficiently integrate AI capabilities into their workflows, making unstructured data manageable and actionable for advanced analytical use.

11 - 50 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

📋 Description

• Build secure, highly available, and scalable cloud infrastructure for federal environments • Ensure compliance with FedRAMP, FISMA, and other security frameworks • Develop IaC with Terraform, Pulumi, or similar for repeatable, compliant deployments • Build and maintain automated CI/CD pipelines that balance speed and security • Implement and maintain monitoring, logging, and alerting (Prometheus, Grafana, Datadog, Elastic) • Lead incident response, postmortems, and reliability improvements • Partner with engineering and program teams for high-assurance rollouts

🎯 Requirements

• 5–9 years managing software deployed to US government or Department of Defense (DOD) networks • Active SECRET clearance required; TS/SCI strongly preferred • Expertise with AWS GovCloud and/or Azure Government. • Deep experience with Kubernetes, Docker, and container orchestration at scale. • Strong Linux systems and networking fundamentals. • Scripting/automation: Python, Bash, or Go. IaC: Terraform, Pulumi, Ansible (or similar). • Strong grasp of monitoring, logging, and observability best practices. • Travel required up to 20%

🏖️ Benefits

• Mission Impact: Power critical AI workloads in the public sector. • Big Technical Challenges: High-assurance problems at the edge of AI, data, and cloud. • Elite Team: Sharp, low-ego engineers who value execution and learning. • Innovation + Security: Build cutting-edge systems with rigorous reliability for federal use cases.