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Exiger

AI-driven supply chain risk platform

Site Reliability Engineer

Site Reliability EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • A Bachelor's or Master's degree in Computer Science, a related field, or equivalent practical experience.
  • At least 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; prior SRE practice and readiness to establish the function are required.
  • At least 4 years of experience designing, analyzing, and troubleshooting large-scale distributed systems.
  • Strong grounding in Unix/Linux internals, including filesystems, processes, and system calls, and networking fundamentals, including TCP/IP, DNS, routing, and 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: forming hypotheses, measuring outcomes, and making metrics-driven decisions rather than relying on intuition or anecdote.
  • Experience with chaos engineering or fault-injection testing, such as game days, Chaos Monkey, Gremlin, or LitmusChaos, to validate system resilience.
  • Proven incident management experience, including on-call ownership, leading response under pressure, and driving blameless postmortems to root cause.
  • Experience troubleshooting and supporting applications such as web services, data storage, databases, and data pipelines, with Linux/Unix or other operating systems.
  • Familiarity with AWS and secure system integration.
  • Comfort integrating AI coding assistants such as Claude and Codex into the 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.
  • U.S. citizenship and eligibility for a U.S. security clearance are required.

Responsibilities

  • Establish the SRE function by defining SLIs, SLOs, and error budgets, and setting reliability standards that other engineering teams adopt.
  • Build and own observability by instrumenting services for availability, latency, and system health, and turning that signal into actionable insight.
  • Drive decisions with data by forming hypotheses, measuring the impact of changes, and using metrics rather than intuition to set reliability priorities.
  • Own production-service reliability 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 through capacity planning and performance analysis, and drive changes that improve reliability and delivery velocity.
  • Improve resilience through chaos engineering and fault-injection testing, including game days that validate graceful degradation and recovery from failure.
  • Lead sustainable, blameless incident response and postmortems, and establish and participate in an on-call rotation.
  • Use AI-assisted development tools such as Codex and Claude to accelerate automation, tooling, and investigation work, and help the team adopt these tools effectively.

Desired Qualifications

  • At least 4 years of experience programming in Go or C, with the ability to debug, optimize, and automate rather than only script; Java is also welcome.
  • Experience supporting machine-learning or data platforms in production.
  • Familiarity with data warehouses such as Snowflake, Redshift, or Apache Iceberg.
  • Experience operating in FedRAMP or other regulated or government environments.

About the Company

Exiger

AI-driven supply chain risk platform

Exiger provides supply chain risk and resilience software, offering the 1Exiger platform to give organizations end-to-end visibility into risk across their third-party and supplier networks, down to the nth tier. The platform uses AI to screen for sanctions and adverse media, assess third-party risk, and automate due diligence for banks, government agencies, defense contractors, and Fortune 500 companies, producing auditable decision records. Exiger differentiates itself with proprietary data assets and an AI-native approach focused on comprehensive third-party risk management and supply chain transparency, supported by strategic acquisitions and large investments. Its goal is to help organizations manage supplier risk and financial crime exposure while enabling trustworthy, auditable decisions across complex networks.

Company size
501-1,000
Company stage
Acquired
Total funding
$112M
Headquarters
New York City, New York
Founded
2013

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