Staff Software Engineer (Core Cloud Platform)
Company: AlphaSense
Location: New York, New York, United States
Salary: $223.1k - $305k per year
Type: Full-time
Posted: 2026-05-31
About this 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
- 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
### Benefits
- Work from home opportunities- Deep understanding of networking and Production level usage of service meshes and gateways
- [Nice to Have] Management of large fleets of Kubernetes clusters with lifecycle management tools (e.g. CAPI, Rancher)
- Proven track record of running Kubernetes and Cloud based production SaaS systems at scale
- Extremely experienced in Kubernetes and its various components, containerisation and AWS clo...