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, optimize, and automate rather than just script.
Experience supporting ML or data platforms in production.
Familiarity with data warehouses such as Snowflake, Redshift and/or Apache Iceberg.
Experience operating in FedRAMP or other regulated or government environments.
Why You'll Love Working at Exiger
High-performance culture rooted in accountability, collaboration, and a shared commitment to excellence.
Discretionary Time Off for all employees, with no maximum limits on time off
Industry leading health, vision, and dental benefits
Competitive compensation package
16 weeks of fully paid parental leave
Flexible, hybrid approach to working from home and in the office where applicable
Focus on wellness and employee health through stipends and dedicated wellness programming
Purposeful career development programs with reimbursement provided for educational certifications
#LI-hybrid
Exiger is named a Leader in the Gartner® Magic Quadrant™ for Supplier Risk Management, twice selected as one of Fast Company's 'Brands That Matter,' and recipient of the Third Party Risk Association's Innovator Award, Exiger's technology has been recognized by leading analyst evaluations and 50+ awards. Learn more at Exiger.com and follow Exiger on LinkedIn.
At Exiger, our values define how we work and why we lead. We are mission-inspired, imagination-driven, trust-anchored, and compassion-focused—committed to building technology that makes the world safer, more transparent, and more resilient.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
Exiger’s hybrid work policy is periodically reviewed and adjusted to align with evolving business needs.
