Base Salary
$180k - $200k/yr
Responsibilities
- Monitor core business-logic software through on-call and non-urgent operational work, documenting behavior and defining SLOs and SLAs.
- Extend and monitor the infrastructure stack supporting business-critical customer usage.
- Maintain system models to estimate risk, plan projects, and debug efficiently.
- Collaborate with engineering teams and company leadership as the site reliability specialist.
- Work on the Temporal-based orchestration logic that runs tens of thousands of workflows concurrently.
- Advise major backend engineering projects during planning and release, joining implementation work as needed.
- Optimize services for scalability, stability, and observability as the customer base and product grow.
- Improve developer experience, engineering processes, and practices, including in the context of LLM coding agents.
- Participate in on-call and improve the company’s technical operations.
Requirements
- At least 5 years of experience in SRE, DevOps, or Platform engineering.
- Proven experience building efficient, performant, and extensible systems.
- Experience maintaining quantitative site reliability metrics and exercising judgment around SLO and SLA strictness.
- Familiarity with Docker, Kubernetes, backend services, and Linux.
- Experience implementing and managing AWS infrastructure.
- Nice to have experience with Temporal.
- 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 for multiple environments and improving developer experience.
- Nice to have experience building AI platforms or tooling and systems behind AI products.
- Nice to have experience building cloud storage or data modeling products and working at early-stage startups.
- Strong communication, collaboration, willingness to ask for help, and willingness to provide support and thoughtful critique.
Benefits
- Hybrid work arrangement with approximately 3 days per week in the NYC or SF office
- Equity and premium health and wellness benefits
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.