Base Salary
$180k - $200k/yr
Responsibilities
- Monitor core business-logic software through on-call and non-urgent operational work.
- Define and improve SLOs, SLAs, quantitative reliability metrics, and incident response practices.
- Extend and monitor infrastructure supporting business-critical customer workloads.
- Maintain system models to estimate risk, plan projects, and debug efficiently.
- Collaborate with engineering teams and leadership as the site reliability subject-matter expert.
- Work on the Temporal-based orchestration logic that runs tens of thousands of workflows concurrently.
- Advise backend engineering projects from planning through release and contribute directly when needed.
- Optimize services for scalability, stability, and observability.
- Improve developer experience, engineering processes, and practices related to LLM coding agents.
Requirements
- At least 5 years of SRE, DevOps, or platform engineering experience.
- Proven experience building efficient, performant, and extensible systems.
- Experience maintaining quantitative site reliability metrics and exercising judgment around SLO and SLA strictness.
- Familiarity with containerization and orchestration tools such as Docker and Kubernetes, backend services, and Linux.
- Experience implementing and managing AWS infrastructure.
- Strong communication, collaboration, help-seeking, and knowledge-sharing abilities.
- Nice to have experience with Temporal.
- Nice to have experience building AI platforms or tooling and systems behind AI products.
- Nice to have familiarity with Kubernetes, Helm, and Amazon EKS.
- Nice to have experience implementing and deploying infrastructure-as-a-service tools for production cloud environments.
- Nice to have experience managing CI/CD pipelines across multiple environments and improving developer experience.
- Nice to have experience building cloud storage or data modeling products.
- Nice to have experience working at early-stage startups.
Benefits
- Hybrid work arrangement with approximately three days per week in the New York City or San Francisco office.
- Equity included in the total compensation package.
- Premium health and wellness benefits.
Tech Stack
Categories
About Parabola
Parabola is the AI agent platform for ops and finance teams. You describe your messy, recurring processes (the work that lives in macros, Python scripts, and tribal knowledge today) like reconciliations, carrier billing audits, accruals, inventory checks, and PO matching. Parabola builds the agents that run them on schedule, handle the unstructured inputs (PDFs, screenshots, multi-tab spreadsheets) a human analyst would handle, and show their work at every step. Unlike black-box agents, every decision is inspectable, governable, and audit-ready, so the agent becomes the SOP your team can review, hand off, and update without re-prompting from scratch. Every Parabola engagement includes access to a team of automation engineers, who take learnings from thousands of prior engagements to help design, scope, and deploy agents ready for production scale, not as a demo. Ops and finance teams at On Running, WHOOP, Flexport, Fabletics, Kendo Brands, KIND Bar, Spindrift, and Uber Freight use Parabola to operationalize AI for the high-stakes recurring work generic chatbots and autonomous agents can't safely run.