Jobs at Gravie

Positions 24,043

Gravie is a cloud‑native data orchestration platform that empowers enterprises to move and transform data for AI workloads at scale. The company is recognized for its lightweight, high‑performance engine that integrates with Kubernetes, Spark, and Terraform, reducing pipeline latency by up to 70%.

Gravie hires across the tech stack: senior and mid‑level software engineers, data engineers, DevOps specialists, product managers, UX designers, and quality analysts. Candidates can expect a fast‑paced, remote‑first environment, quarterly hackathons, and a transparent career ladder that rewards ownership and measurable impact.

By reviewing Gravie listings on Job Transparency, you gain instant access to base salary ranges, equity ranges, and real employee sentiment scores. This data lets you benchmark offers against peers, identify teams with high engagement, and negotiate with confidence rather than guesswork.

No open positions at Gravie right now.

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Frequently Asked Questions

What is it like to work at Gravie?

Working at Gravie means collaborating with a cross‑functional team that values data‑driven decisions. The company offers flexible remote schedules, a generous learning stipend, a 100% health insurance package, and a culture that encourages experimentation through quarterly hack days. Employees frequently cite the fast feedback loop and the ability to see the direct impact of their work on enterprise customers as key motivators.

What types of positions are available at Gravie?

Gravie’s current openings span software engineering (backend, frontend, full‑stack), data engineering, infrastructure & DevOps, product management, UX/UI design, quality assurance, and security engineering. Each role emphasizes scalability, automation, and integration with cloud native ecosystems. The company also seeks experienced mentors to guide junior hires in mastering the Gravie stack.

How can I stand out as an applicant for Gravie?

To stand out, showcase hands‑on experience with Kubernetes, Spark, and Terraform in your portfolio or GitHub. Highlight any performance‑tuning projects that reduced latency or cost. Prepare a concise demo that illustrates your problem‑solving approach. In your application, reference Gravie’s open‑source contributions and explain how you can contribute to their data orchestration engine. Finally, align your career goals with Gravie’s mission to accelerate AI data pipelines and express a clear vision for how you’ll grow within that framework.

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