Staff Cloud Platform Engineer – CI/CD & AI Enablement

AlphaSense, Inc.; Helsinki; On-site; EUR 120,000 - 170,000; Full time

Job summary

AlphaSense is seeking a Staff Engineer for the Cloud DX team who will design and operate production-grade delivery infrastructure while contributing hands-on in Go and Python and leading cross-timezone initiatives across multiple teams.

We expect ownership of CI/CD architecture, improvement of pipeline reliability and speed, and the embedding of AI-assisted workflows into the engineering SDLC to boost productivity and quality.

Qualifications

• Strong experience in Platform Engineering or Developer Experience roles focused on CI/CD and delivery.
• Experience owning and operating a CI/CD platform at admin and architecture level, including security, configuration, and enablement.
• Proven ability to design and operate delivery systems at scale.
• Hands-on software development experience including production-quality Go.

Responsibilities

• Own and evolve our CI/CD architecture and the developer-facing experience.
• Drive continuous improvements to pipeline reliability, speed, and predictability.
• Define paved paths that let product teams ship fast and safely without deep platform knowledge.
• Own the delivery process end-to-end, from code merge to production.
• Champion progressive delivery practices: canary deployments & automated rollbacks.
• Build tooling that makes deployments observable, repeatable, and self-service.
• Own and evolve our Internal Developer Portal and the self-service experience around it.
• Partner with Cloud Platform teams on infrastructure while owning the developer-facing delivery.
• Embed AI tooling into delivery workflows in ways that create lasting productivity gains.

Skills

Platform Engineering

CI/CD

Go

Python

Kubernetes

Cloud-native architectures

AI tooling

Cross-team collaboration

RBAC/OAuth

DevOps culture

Tools

Go

Python

Kubernetes

Job description

AlphaSense is seeking a Staff Engineer for the Cloud DX team who will design and operate production-grade delivery infrastructure while contributing hands-on in Go and Python and leading cross-timezone initiatives across multiple teams.

We expect ownership of CI/CD architecture, improvement of pipeline reliability and speed, and the embedding of AI-assisted workflows into the engineering SDLC to boost productivity and quality.