Description
Global supply chains still rely on slow, manual processes,email, spreadsheets, and fragmented data. The economy moves fast but supply chains don't, creating an inefficiency that affects the $13T of goods shipped annually and is one of the largest untapped opportunities in modern enterprise.
As a Site Reliability Engineer for Missionforce Operations, you will be a senior technical contributor who helps shape the infrastructure, process automation and engineering practices behind the product. You will partner closely with product engineers, sector experts, and forward-deployed engineers to deliver the most reliable systems for mission-critical public-sector workflows.
Responsibilities
- Scaling & Reliability: Own the reliability roadmap for major product areas, evolving startup-speed architectures into highly available, globally scalable systems for mission-critical customer-operated cloud environments.
- Collaborative Leadership: Partner with engineers to refine our infrastructure strategy, contributing senior-level perspectives on system design, capacity planning, bottleneck identification, and security.
- Infrastructure as Code: Define, maintain and evolve our tools for deployments, focusing on making deployments as “push-button” and robust as possible.
- AI Operations (AIOps): Support the scaling and deployment of our AI/ML infrastructure, ensuring the compute, deployment and platform capabilities required to run AI features reliably and cost-effectively.
- Production Excellence: Design and build the internal systems and processes for testing and releasing the product, along with the tooling and automation that enable customers and partners to deploy, upgrade, diagnose, and run Missionforce Operations successfully with minimal direct engineering involvement.
- Security Engineering: Design, review, and strengthen identity and access controls, networking, workload isolation, secret management, deployment security, and policy enforcement to ensure the product is secure by default.
- AI-First Workflow: Lean into the future of engineering by using AI tools to automate routine operational tasks and accelerate infrastructure delivery.
Requirements
- Proven Production Experience: Experience supporting mission-critical production systems and helping high-growth products navigate the technical debt and architectural changes required to scale reliably.
- Technical Breadth: Strong proficiency in Kubernetes, Terraform/OpenTofu, and AWS/GCP/Azure.
- Coding Mastery: Ability to write and review production-level code in Golang, TypeScript, or Python,you view automation as a software engineering problem.
- Systems Expert: Deep understanding of distributed systems, including how to debug complex interactions between microservices, databases, and AI agents.
- Low-Ego Collaboration: Experience working within a senior team of Principal engineers, capable of both leading specific initiatives and supporting the broader group’s technical vision.
- Mentorship Mindset: Enthusiasm for learning and growing as an engineer, and for helping your peers do the same.
- AI Fluency: A demonstrated ability to use modern AI development tools to move faster and build more reliable systems.
- Drive: Ability to work independently and collaboratively in a fast-paced startup environment.
- Excellent Communicator: Strong written and verbal communication skills, with the ability to communicate effectively with people from varied technical backgrounds.