Staff Software Engineer, Core Cloud Platform

AlphaSense is a leading provider of AI-driven market intelligence, and they are seeking a Staff Software Engineer for their Core Cloud Platform team. This role involves owning and evolving the cloud and Kubernetes-based platform, ensuring scalability and performance while collaborating with various engineering teams.

Responsibilities:

• 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

Requirements:

• 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
• Management of large fleets of Kubernetes clusters with lifecycle management tools (e.g. CAPI, Rancher)
• Production usage of Hashicorp vault or similar secret management systems
• GCP and Azure knowledge