Site Reliability Engineer

Who We Are: Exiger is the AI partner for supply chain and procurement automation. Its centralized 1EXIGER.AI platform allows organizations to manage their entire operating network, from parts to suppliers, regulators, and customers, through an autonomous agentic workforce that learns, adapts, and augments with every decision. The AI-native platform, combined with the largest supply chain knowledge asset, empowers 550+ global customers, including 150 Fortune 500 and 80+ government and defense industrial organizations, to act first. Exiger is FedRAMP® authorized and a 2x Leader in Gartner® Magic Quadrant™ for Supplier Risk Management. Site Reliability Engineer Location: U.S. (Hybrid) This role requires U.S. citizenship and eligibility for a U.S. security clearance. Role Summary: Exiger is transforming how governments and global enterprises manage supply chain, defense, and geopolitical risk. Our AI-powered platform equips the world's most important institutions with the intelligence they need to protect critical infrastructure, secure national interests, and make data-driven operational decisions. From identifying counterfeit parts in defense supply chains to anticipating geopolitical risk exposure, Exiger enables mission owners to act with clarity and confidence in complex, high-stakes environments. This is our first dedicated Site Reliability Engineering hire and a founding role. You will help stand up the SRE function at Exiger: setting the standards, tooling, and practices that keep 1Exiger reliable for our 550+ customers, including Fortune 500 companies and U.S. government agencies. You will own reliability across the full service lifecycle, from design and capacity planning through deployment, monitoring, and incident response, and build the automation that lets the platform scale without scaling headcount. Because you are first, we need someone who has practiced SRE before and can bring the playbook, not learn it on the job. You will use your expertise in coding, algorithms, complexity analysis, and large-scale distributed system design to solve the reliability challenges that are unique to operating a mission-critical AI platform in regulated and government environments. SRE's culture of intellectual curiosity, problem solving and openness is key to its success. Our organization brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to create an environment that provides the support and mentorship needed to learn and grow. What You'll Do: Establish the SRE function: define SLIs, SLOs, and error budgets, and set reliability standards that other engineering teams adopt. Build and own observability: instrument services for availability, latency, and system health, and turn that signal into actionable insight. Drive decisions with data: form hypotheses, measure the impact of every change, and let metrics rather than intuition set reliability priorities. Own the reliability of production services from design consulting and launch reviews through steady-state operation. Eliminate repetitive manual operations through automation and infrastructure as code, replacing them with reliable, self-service tooling. Plan for scale: capacity planning, performance analysis, and driving changes that improve both reliability and delivery velocity. Improve resilience through chaos engineering and fault-injection testing, running game days that prove the platform degrades gracefully and recovers from failure. Lead sustainable, blameless incident response and postmortems, and stand up and participate in an on-call rotation. Leverage AI-assisted development tooling (such as Codex and Claude) to accelerate automation, tooling, and investigation work, and help the team adopt these tools effectively. What You Need: Bachelor's or Master's degree in Computer Science, a related field, or equivalent practical experience. 6 years of experience in software or systems engineering, including at least 4 years in a dedicated Site Reliability Engineering, production engineering, or platform reliability role. As our first SRE hire, you must have practiced SRE before and be ready to establish the function. 4 years of experience designing, analyzing, and troubleshooting large-scale distributed systems. Strong grounding in Unix/Linux internals (filesystems, processes, system calls) and networking fundamentals (TCP/IP, DNS, routing, load balancing). Hands-on experience establishing core SRE practices from the ground up: SLIs, SLOs, and error budgets, monitoring and observability, capacity planning, and automation that removes repetitive manual work. A rigorous, empirical mindset: you form hypotheses, measure outcomes, and make metrics-driven decisions rather than relying on intuition or anecdote. Experience with chaos engineering or fault-injection testing (for example game days, Chaos Monkey, Gremlin, or LitmusChaos) to validate system resilience. Proven incident management experience: on-call ownership, leading response under pressure, and driving blameless postmortems to root cause. Experience in troubleshooting and supporting applications like web services, data storage, databases, and data pipelines, with Linux/Unix or other operating systems. Familiarity with cloud platforms (AWS) and secure system integration. Comfort integrating AI coding assistants (such as Claude and Codex) into your daily engineering workflow. Ability to translate ambiguous mission problems into structured technical solutions. Ability to operate independently in dynamic, high-stakes environments. Willingness to travel as needed to support customer engagements. Nice to Have: 4 years of experience programming in Go or C (Java also welcome), with the ability to debug, optim