Senior Software Engineer (Site Reliability)
Parabola
United States Posted September 16, 2026
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Salary Range
$180,000 - $200,000
Job Description
Join our rapidly growing team as a Senior Site Reliability Engineer. In this role, you will measure and improve the performance of our software, extend and monitor our infrastructure stack, and collaborate with our engineering team and company leadership. You will also work on our core orchestration logic, advise on major backend engineering projects, and optimize our services for scalability, stability, and observability. This position offers a competitive salary, equity, and a range of benefits including remote and hybrid work opportunities, unlimited PTO, and excellent medical, dental, and vision coverage.
- Measuring software performance and driving improvements based on metrics.
- Collaborating with engineering teams to enhance site reliability and optimize services.
- Maintaining and extending infrastructure stack, ensuring scalability, stability, and observability.
- 5+ years of SRE, DevOps, or Platform engineering experience
- You're excited to join a hybrid team and work out of our NYC or SF office ~3 days a week
- Has maintained quantitative metrics of site reliability, while also demonstrating judgment about appropriate strictness for SLOs & SLAs. Given our team size, the expectations are somewhat less formal and mature than many SRE teams have; you will both strengthen our approach, but also navigate tradeoffs
- A proven record of building efficient, performant, and easy to extend systems
- You’re an enthusiastic communicator and you like working with a team that provides both mutual support and thoughtful critique
- You’re not afraid to ask for help, and you’re happy to give it, too
- Experience implementing and managing AWS infrastructure
- Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes) and how they interact with backend services, and with Linux
- Experience with Temporal
- Experience building AI platforms, or the tooling and systems behind AI products
- Experience implementing and deploying infrastructure-as-a-service (IaaS) tools to manage production cloud environments
- Familiarity with Kubernetes/Helm (we use Amazon EKS)
- Experience managing CI/CD pipeline for multiple environments, and developer experience more broadly
- Experience building cloud storage or data modeling products
- Experience working at early stage startups
Required Skills
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