About the role
About AlphaSense:
AlphaSense 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, AlphaSense 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, AlphaSense delivers the clarity and depth professionals need to navigate complexity and obtain accurate, real-time information quickly. For more information, visit www.alpha-sense.com. Come join us.
About the Role:
The Core Cloud Platform team is responsible for AlphaSense's entire cloud infrastructure, including AWS account management, networking, data storages, and Kubernetes clusters. We build the underlying platform that supports hundreds of services and is used by over 400 globally distributed engineers.
We're scaling into a cell-based architecture, and the number of cells we run is growing fast, taking our Kubernetes footprint from dozens of clusters toward hundreds. That takes the platform in three directions at once: infrastructure configuration becomes a first-class layer with its own lifecycle, independent of application code; provisioning a new cell becomes a days-long automated operation rather than a multi-week effort; and cross-cell control points become standard, reusable, and consistent everywhere.
This is a Principal Engineer role with real breadth within the cloud platform. You'll set the architectural roadmap for our cloud, Kubernetes, and storage platform as it scales with AlphaSense's growth, and take dedicated ownership of the cloud-side configuration and Helm chart layer that every service depends on. Data storages are a critical part of this surface, and we're looking for genuine depth there.
It requires a deep cloud of both operational and software development skills, the ability to lead ambitious technical programmes, and the credibility to set direction with Engineering leaders and very senior engineers across dozens of teams.
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.
What You’ll Do:
Own the architectural roadmap for our cloud, Kubernetes, and storage platform
Own cloud-side configuration and the Helm chart layer for Cloud Core
Build the cell registry and automate provisioning to take new cell setup from weeks to days
Design the cross-cell gate mechanism as the reusable standard checkpoint across every cell
Own, operate and evolve our Cloud and Kubernetes platform, including our data storage layers
Make operations (upgrades, patching, lifecycle management) routine across hundreds of clusters
Continuously improve the security, reliability, cost efficiency and performance of our infrastructure
Champion standards and drive initiatives to promote uniformisation and eliminate duplication
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 in cloud
Architect, design and implement simple and maintainable solutions
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
Experience operating Kubernetes as a large fleet with hundreds of clusters
Strong knowledge of data storages across SQL, MongoDB, ClickHouse and Elasticsearch
Strong operational and troubleshooting skill with Kubernetes, databases and messaging systems
Deep understanding of networking and production level usage of service meshes and gateways
Experience separating infrastructure configuration from application code at scale
Experience with cell-based, multi-tenant or multi-region architectures
Proficiency in Python and Golang
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:
Experience with Vespa
Automated provisioning of new environments, regions or cells end-to-end
Management of large fleets of Kubernetes clusters with lifecycle management tools
Production usage of Hashicorp Vault or similar secret management systems
AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.
In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.
Recruiting Scams and Fraud
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