Staff Platform Engineer, Core Cloud Platform

About AlphaSense:

AlphaSense is the AI platform redefining market intelligence and workflow orchestration, trusted by thousands of leading organizations to drive faster, more confident decisions in business and finance. The platform combines domain-specific AI with a vast content universe of over 500 million premium business documents — including equity research, earnings calls, expert interviews, filings, news, and internal proprietary content. Purpose-built for speed, accuracy, and enterprise-grade security, AlphaSense helps teams extract critical insights, uncover market-moving trends, and automate complex workflows with high-quality outputs. With AI solutions like Generative Search, Generative Grid, and Deep Research, AlphaSense delivers the clarity and depth professionals need to navigate complexity and obtain accurate, real-time information quickly. For more information, visit . Come join us.

About the Team:

The Core Cloud Platform team is responsible for AlphaSense’s entire cloud infrastructure, including AWS account management, networking, storage and kubernetes clusters. We build the underlying Platform that supports hundreds of services and is used by over 400 globally distributed Engineers.

About the Role:

This is a Staff Engineer role with real breadth. It requires both operational and software development skills, the ability to lead projects and the need to collaborate with Engineering leaders and very senior Engineers across dozens of teams. You will be instrumental in setting the architectural roadmap for our Cloud Platform, ensuring the scalability and performance align with AlphaSense's rapid growth. We're looking for someone who genuinely embraces AI tooling in their day-to-day work, appreciates the productivity value it brings, and is motivated to make our infrastructure ever-more AI friendly.

Who You Are:

• Extremely experienced in Kubernetes and its various components, containerisation and AWS cloud

• Proven track record of running Kubernetes and Cloud based production SaaS systems at scale

• Deep understanding of networking and Production level usage of service meshes and gateways

• Strong operational and troubleshooting skill with Kubernetes, Databases, Messaging Systems and Storage layers

• Proficiency in Python and Golang, preferably demonstrated through building infrastructure tooling, Kubernetes operators or control plane components

• Evangelist of highly performant CI/CD practices that are supportive of agentic workflows

• Ability and desire to design, lead, influence and deliver on ambitious technical roadmaps

• [Nice to Have] Management of large fleets of Kubernetes clusters with lifecycle management tools (e.g. CAPI, Rancher)