Senior Software Engineer - Site Reliability

Menlo Ventures; United States; Remote; USD 176,000 - 230,000; Full time

Job summary

Abnormal Security is seeking a Senior Software Engineer - Site Reliability to enhance the operational excellence of systems and services. You will lead initiatives aimed at improving stability, define quarterly goals, and provide technical leadership while mentoring the team. The ideal candidate will have over 8 years of experience, strong skills in distributed systems, and proficiency in languages like Python and Go.

Benefits

Bonus eligibility

Restricted stock units (RSUs)

Comprehensive benefits package

Qualifications

• 8+ years of experience in infrastructure, DevOps, or Site Reliability Engineering.
• Deep knowledge of production-grade distributed systems.
• Strong programming skills in Python, Go, or similar languages.

Responsibilities

• Own the operational maturity of services in the SRE software stack.
• Lead incident reviews and root cause analyses.
• Mentor other engineers and drive adoption of SRE principles.

Skills

Distributed Systems

Operational Excellence

Communications

Mentorship

Python

Go

Kubernetes

Terraform

Observability Tools

Tools

Kubernetes

Terraform

Prometheus

Grafana

Datadog

Job description

About the Role

Abnormal Security is looking for a Senior Software Engineer - Site Reliabilityto join our Infrastructure team. In this role, you will be responsible for the reliability, scalability, and operational excellence of our systems and services. You will lead initiatives to improve the operational maturity of both SRE-managed services and critical product systems, driving change across the organization in support of stable operations.

As a senior member of the team, you will independently define and execute quarterly goals, create forward-looking roadmaps, and own cross-functional projects aligned with company-level objectives. You will serve as a key advocate for reliability, providing technical leadership, deep analysis, and mentorship while embedding with product teams as needed to improve service ownership and incident response practices.

The ideal candidate:

• Has strong technical depth in distributed systems and operational excellence
• Possesses a product-focused mindset with the ability to translate business needs into reliability goals
• Is a strong communicator and mentor, able to influence both within the SRE team and across engineering
• Has demonstrated experience leading broad technical initiatives across teams and systems
  
  

What You Will Do

• Own the operational maturity of services in the SRE software stack, driving architectural and tooling improvements
• Proactively partner with product teams to embed SRE best practices and support services with operational challenges
• Independently define and drive quarterly goals for the SRE team with measurable impact on system reliability and developer productivity
• Design and maintain systems that promote observability, automated recovery, scalability, and resilience
• Lead incident reviews and root cause analyses; ensure follow-up actions are implemented and shared across teams
• Collaborate with engineering leadership to shape the team roadmap and contribute to company-wide reliability goals
• Mentor other engineers and drive adoption of SRE principles throughout the engineering organization
  
  

Must Have

• 8+ years of experience in infrastructure, DevOps, or Site Reliability Engineering roles
• Deep knowledge of production-grade distributed systems and cloud-native architectures
• Demonstrated experience managing service availability, latency, and incident response in production environments
• Strong programming skills in Python, Go, or similar languages
• Experience with Kubernetes, Terraform, and observability tools (e.g., Prometheus, Grafana, Datadog)
• Proven ability to lead complex, multi-team initiatives and influence system design for reliability

Nice To Have

• Prior experience embedding with product engineering teams to support operational goals
• Familiarity with AWS and multi-cloud environments (e.g., Azure, GCP)
• Experience in regulated environments or with FedRAMP-compliant systems
• Contributions to open-source SRE tooling or community knowledge sharing
  
  

#LI-NT1

At Abnormal AI, certain roles are eligible for a bonus, restricted stock units (RSUs), and benefits. Individual compensation packages are based on factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons. We know that benefits are also an important piece of your total compensation package. Learn more about our Compensation and Equity Philosophy on our Benefits & Perks page.

Base pay range: $176,000 — $207,050 USD San Francisco/New York Base pay range: $195,000 — $230,000 USD

Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement pleaseclick here . If you would like more information on your EEO rights under the law, pleaseclick here .