Staff Software Engineer, Core Cloud Platform

About AlphaSense: The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content. The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. 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) [Nice to Have] Production usage of Hashicorp vault or similar secret management systems [Nice to Have] GCP and Azure knowledge What You’ll Do: Own, operate and evolve our Cloud and Kubernetes based Platform Continuously improve the security, reliability, cost efficiency and performance of our infrastructure Champion standards and drive initiatives to promote uniformisation and eliminate duplication Collaborate with Product teams to enable and empower them to build and own their services Work closely with other Platform teams (e.g. SRE, DevEx) to create a coherent and quality Platform Enable truly self-service and agentic workflow patterns that support a Build it - Own it model Build tooling and AI powered integrations that reduce the cognitive load of dealing with complex infrastructure operations and systems Provide support for the systems we build to a globally distributed Engineering organisation Execute, automate and support operational tasks on complex and mission critical systems Architect, design and implement simple and maintainable solutions For base compensation, we set st