
Senior Software Engineer, Observability
Posted Nov 4

Posted Nov 4
This is a fully remote position, open to applicants in United States.
• Create and develop services and agents that enhance visibility into extensive server fleets and data center engineering systems.
• Advance metrics, aggregation, and alerting pipelines with an emphasis on signal quality and dependability.
• Design and manage maintenance and remediation systems to ensure safe and predictable changes across the fleet.
• Engage in hands-on investigation of production incidents, including on-host Linux debugging, and facilitate root-cause resolutions.
• Work collaboratively with hardware, networking, and data center operations teams to boost reliability.
• Over 5 years of professional experience in software engineering.
• Strong production experience with Python and Go, or the ability to quickly learn these languages.
• Solid understanding of Linux fundamentals and confidence in debugging live systems.
• Capability to write dependable, maintainable code and tackle complex, ambiguous issues.
• Experience in building and managing production systems at scale.
• Applicants must have authorization to work in the country where they apply and provide evidence of employment eligibility.
• Experience with Ubuntu, including internal tooling and packaging workflows, is a plus.
• CCNA certification or equivalent networking experience is an advantage.
• 100% company-covered medical, dental, and vision insurance for employees and their families.
• 401(k) plan with up to a 4% company match and immediate vesting.
• 20 weeks of paid parental leave for primary caregivers.
• 12 weeks of paid parental leave for secondary caregivers.
• Remote work reimbursement of up to $85/month for mobile and internet expenses.
• Company-paid short-term disability, long-term disability, and life insurance coverage.
• Competitive salary.
• Opportunities for career advancement and learning.
• Flexibility and ownership in your work.
• A collaborative and innovative company culture.
• Chance to engage in significant AI projects.
• An international environment with talented teams.
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