Opportunity at
AlphaSensePrincipal Engineer - Core Cloud Platform
AlphaSense, an AI platform specializing in market intelligence and workflow orchestration for business and finance professionals, is seeking a Principal Engineer for its Core Cloud Platform…
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About This Role
AlphaSense, an AI platform specializing in market intelligence and workflow orchestration for business and finance professionals, is seeking a Principal Engineer for its Core Cloud Platform team. This on-site role involves taking architectural ownership of cloud infrastructure, Kubernetes clusters, data storage layers, and the Helm chart configuration that supports hundreds of services and a large global engineering team. The position suits an experienced technologist with deep operational and software development…
Job Description
AlphaSense, an AI platform specializing in market intelligence and workflow orchestration for business and finance professionals, is seeking a Principal Engineer for its Core Cloud Platform team. This on-site role involves taking architectural ownership of cloud infrastructure, Kubernetes clusters, data storage layers, and the Helm chart configuration that supports hundreds of services and a large global engineering team.
The position suits an experienced technologist with deep operational and software development expertise in AWS and Kubernetes. The candidate will lead technical initiatives, scale infrastructure toward a cell-based architecture, build automation for environment provisioning, and create AI-powered integrations to reduce cognitive load in cloud operations.
Responsibilities
- Define and drive the architectural roadmap for cloud, Kubernetes, and storage platforms
- Take direct ownership of cloud-side configuration and the Helm chart layer for Cloud Core
- Construct the cell registry and automate provisioning processes to reduce setup time
- Design reusable cross-cell gate mechanisms as standard checkpoints
- Operate, maintain, and evolve cloud platforms, Kubernetes, and data storage systems
- Standardize operations like upgrades, patching, and lifecycle management across multiple clusters
- Enhance infrastructure security, reliability, performance, and cost efficiency
- Develop tooling and AI-powered integrations to streamline cloud workflows
Requirements
- Extensive experience with AWS cloud, containerization, and Kubernetes components
- Proven background managing production-scale SaaS systems utilizing Kubernetes and cloud infrastructure
- Demonstrated history of operating large Kubernetes fleets comprising hundreds of clusters
- Solid familiarity with data storage solutions including SQL, MongoDB, Elasticsearch, and ClickHouse
- Strong troubleshooting skills across databases, messaging systems, and Kubernetes
- Understanding of networking concepts, service meshes, and production gateways
- Background in separating infrastructure configuration from application code at scale
- Familiarity with multi-tenant, multi-region, or cell-based architectures
- Proficiency in Golang and Python programming languages
Qualifications
- Experience working with Vespa
- Background in end-to-end automated provisioning for environments, cells, and regions
- Practice managing massive fleets of Kubernetes clusters using lifecycle tools
- Production-level use of secret management systems such as HashiCorp Vault
Core Skills
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the location and work environment for this role?
The posting specifies an on-site work environment at AlphaSense.
What is the employment type?
The position is full-time.
What salary and benefits are offered?
The salary and benefits are not specified in the job posting.
What are the core technical requirements for applicants?
Applicants must have extensive experience with AWS, containerization, and Kubernetes fleets at scale, along with strong knowledge of SQL, MongoDB, ClickHouse, Elasticsearch, Golang, and Python.
Sample Interview Questions
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