Senior Software Engineer, Observability

Posted Nov 4

This is a fully remote position, open to applicants in United States.

📋 Description

• 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.


⛳️ Requirements

• 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.


🏝️ Benefits

• 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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