Researcher

ScaleOps is redefining autonomous cloud and AI infrastructure. We're on a mission to free DevOps and platform engineers from manual resource management so they can focus on innovation, not tuning resources. The results: maximized performance and a reduction of cloud costs by up to 80%.

As the category leader in Autonomous Cloud and AI Infrastructure Resource Management, we're trusted by leading enterprises including Adobe, Wiz, Epic Games, Northwestern Mutual, Coinbase, DocuSign, and Fortune 100 companies to autonomously manage their most critical production environments.

Backed by Insight Partners, Lightspeed Venture Partners, and other leading VCs with over $210M in funding, ScaleOps is the leading player in a massive and growing market. We are building the autonomous infrastructure management platform that will power the next decade of enterprise compute.

What You'll Be Doing

We're looking for a Researcher who thrives on exploring the technical frontier and translating complex insights into real-world impact. This is a hands-on role, combining deep research with prototyping and cross-team collaboration, with the goal of driving innovation in Kubernetes internals, cloud infrastructure, and performance optimization.

Conduct deep research into Kubernetes internals, scheduling, autoscaling, and container resource usage.

Explore cutting-edge strategies for cloud resource optimization, cost efficiency, and performance engineering.

Design and deliver hands-on POCs, simulations, and benchmarks to validate new approaches.

Work closely with product and engineering teams to translate research findings into features and enhancements.

Stay at the forefront of the cloud-native and FinOps ecosystems, surfacing trends and opportunities.

Contribute to technical blogs, white papers, and internal knowledge sharing.

What You'll Bring

7+ years of experience in engineering, systems research, or large-scale infrastructure roles.

Deep knowledge of Kubernetes internals, containerization, cloud infrastructure, and resource orchestration.

Hands-on coding experience in Go, Python, or other systems-level programming languages.

Strong analytical and research skills, with a track record of building and delivering innovative POCs.

Ability to thrive in uncertainty, take ownership of technical domains, and drive projects end-to-end.

Excellent written and verbal communication skills.

(Nice to have) Background in cloud cost optimization, scheduling, or autoscaling.

(Nice to have) Published technical research artifacts.

(Nice to have) Experience presenting on technical stages.

(Nice to have) Machine learning experience (e.g., time-series models, LLMs).

(Nice to have) Prior security research experience.