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Platform Engineer, Core Cloud Platform AlphaSense · Remote · US · Platform & Infrastructure

Remote / Online - Candidates ideally in
New York, New York County, New York, 10261, USA
Listing for: Devopsroles
Remote/Work from Home position
Listed on 2026-10-18
Job specializations:
  • Software Development
    Cloud Engineer - Software, DevOps
Salary/Wage Range or Industry Benchmark: 223100 USD Yearly USD 223100.00 YEAR
Job Description & How to Apply Below
Position: Staff Platform Engineer, Core Cloud Platform AlphaSense · Remote · US · Platform & Infrastructure $223,100–$305,000 7w
Location: New York

About Alpha Sense:

Alpha Sense 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, Alpha Sense 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, Alpha Sense 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 Alpha Sense’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 Alpha Sense'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, Dev Ex) 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

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