Staff Platform Engineer – Core Cloud Platform

🕒 August 12

🇺🇸 United States – Remote

💵 $223.1k - $305k / year

⏰ Full Time

🔴 Lead

🏗️ Platform Engineer

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👻 Ghost score 11%

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AlphaSense

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2011

💼 Consulting

🏥 Healthcare

📣 Marketing

💰 Debt Financing on 2022-06

Consulting • Healthcare • Marketing

AlphaSense is a market intelligence and search platform that empowers companies to unlock critical insights across an extensive universe of public and private content, including company filings, broker research, expert calls, and market trends. Its AI-driven technology affords users the ability to conduct comprehensive due diligence with speed and accuracy, reducing uncertainty and blind spots in decision-making. Trusted by major corporations, financial institutions, and asset management firms globally, AlphaSense serves sectors such as financial services, health care, and technology by providing generative AI-powered solutions that integrate internal proprietary data with external premium content.

📋 Description

• Own, operate and evolve the Cloud and Kubernetes based Platform • Continuously improve infrastructure security, reliability, cost efficiency and performance • Champion standards and drive initiatives to promote uniformisation and eliminate duplication • Collaborate with Product teams to enable them to build and own their services • Work with SRE and DevEx Platform teams to create a coherent, quality Platform • Enable self-service and agentic workflow patterns supporting a Build it - Own it model • Build tooling and AI-powered integrations that reduce the cognitive load of complex infrastructure operations • Support systems for a globally distributed Engineering organisation • Execute, automate and support operational tasks on complex, mission-critical systems • Architect, design and implement simple, maintainable solutions

🎯 Requirements

• Extremely experienced in Kubernetes, containerisation and AWS cloud • Proven track record running Kubernetes and cloud-based production SaaS systems at scale • Deep understanding of networking and production-level service meshes and gateways • Strong operational and troubleshooting skills with Kubernetes, databases, messaging systems and storage layers • Proficiency in Python and Golang, preferably demonstrated through infrastructure tooling, Kubernetes operators or control plane components • Highly performant CI/CD practices supportive of agentic workflows • Ability and desire to design, lead, influence and deliver ambitious technical roadmaps • Nice to have: management of large Kubernetes-cluster fleets with lifecycle management tools such as CAPI or Rancher • Nice to have: production usage of HashiCorp Vault or similar secret-management systems • Nice to have: GCP and Azure knowledge

🏖️ Benefits

• Equity may be offered • Generous benefits program

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