1 day ago
Richmond, VA, USA +2 moreSenior
Responsibilities
- Establish the SRE function by defining SLIs, SLOs, error budgets, and reliability standards.
- Build observability for availability, latency, and system health and turn operational signals into actionable insight.
- Own production service reliability from design and capacity planning through deployment, monitoring, steady-state operation, and incident response.
- Eliminate repetitive manual operations through automation, infrastructure as code, and reliable self-service tooling.
- Conduct capacity planning, performance analysis, chaos engineering, fault-injection testing, and game days.
- Lead blameless incident response and postmortems and participate in an on-call rotation.
- Use and help the team adopt AI-assisted development tools such as Codex and Claude.
Requirements
- Bachelor's or Master's degree in Computer Science or a related field, or equivalent practical experience.
- At least 6 years of software or systems engineering experience, including at least 4 years in dedicated Site Reliability Engineering, production engineering, or platform reliability roles.
- At least 4 years of experience designing, analyzing, and troubleshooting large-scale distributed systems.
- Strong knowledge of Unix/Linux internals and networking fundamentals, including TCP/IP, DNS, routing, and load balancing.
- Experience establishing SRE practices such as SLIs, SLOs, error budgets, monitoring, observability, capacity planning, and automation.
- Experience with chaos engineering or fault-injection testing and proven incident management, on-call, and blameless postmortem experience.
- Experience troubleshooting and supporting web services, data storage, databases, and data pipelines.
- Familiarity with AWS, secure system integration, and AI coding assistants such as Claude and Codex.
- Ability to translate ambiguous mission problems into technical solutions and operate independently in high-stakes environments.
- Willingness to travel as needed for customer engagements.
- Preferred qualifications include 4 years of programming experience in Go or C, with Java also welcomed; experience supporting ML or data platforms; familiarity with Snowflake, Redshift, or Apache Iceberg; and experience in FedRAMP or other regulated or government environments.
Benefits
- U.S.-based hybrid work arrangement with a flexible approach to working from home and in the office.
- Discretionary Time Off with no maximum limits.
- Health, vision, and dental benefits.
- 16 weeks of fully paid parental leave.
- Wellness stipends and dedicated wellness programming.
- Career development programs with reimbursement for educational certifications.
- Competitive compensation package.
About Exiger
Exiger builds AI- and data-driven software for supply chain, third‑party risk, and compliance management, used by corporations, banks, and government agencies. Its 1Exiger platform provides supplier visibility, risk detection, and due diligence, delivered as SaaS with supporting analytics and advisory services. Headquartered in McLean, Virginia, Exiger is FedRAMP authorized for U.S. public‑sector use and is majority‑owned by The Carlyle Group.