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Staff Cloud Platform Engineer – Cloud Developer Experience

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Remote from
UK
Salary
Undisclosed
Employment
Full Time
Experience
Senior
Published
Apply before
26 Nov 2026
Listing views
48
Application actions
2
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AI Summary

The role, at a glance.

AlphaSense is hiring a Staff Cloud Platform Engineer to own and evolve the developer-facing CI/CD and delivery platform for a globally distributed engineering organization. The role combines platform architecture, production operations, and hands-on Go and Python development, with responsibility from code merge through production deployment. Key priorities include progressive delivery, canary releases, automated rollback, GitOps, self-service deployment tooling, and an Internal Developer Portal. The engineer will influence senior technical stakeholders across teams and embed AI-assisted practices into the software delivery lifecycle.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThis is a staff-level platform role requiring deep CI/CD architecture and operational expertise at organizational scale, alongside production-quality software engineering. Success depends on influencing many senior stakeholders while improving reliability, security, and developer workflows across dozens of teams.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate
$190,000
US market range (per year)$160k–$230k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer compensation was disclosed. The figures shown are estimated annual USD market compensation for a staff-level cloud platform and developer-experience engineer; the yearly cadence is inferred from the senior full-time role and prevailing professional hiring conventions.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you evolve a CI/CD platform used by hundreds of engineers without disrupting delivery teams?

I would start by mapping existing workflows, reliability bottlenecks, ownership boundaries, and adoption constraints. I would establish versioned reusable pipeline primitives and paved paths, pilot improvements with representative teams, instrument delivery metrics, and migrate incrementally with clear documentation and rollback options.

What controls would you implement for canary deployments and automated rollback?

I would define service-level health indicators such as error rate, latency, saturation, and business-critical transaction outcomes. The delivery system should compare canary and baseline behavior over a defined evaluation window, automatically halt or roll back when thresholds are breached, and retain an auditable record of the decision.

Describe how you would design a self-service Internal Developer Portal.

I would focus first on high-frequency developer journeys, such as creating a service, provisioning a repository, configuring CI/CD, and deploying safely. The portal should provide standardized templates, ownership metadata, documentation, observability links, and policy-aware automation while keeping underlying platform complexity hidden where possible.

How have you used Go and Python in platform engineering work?

Go is well suited to reliable platform services, Kubernetes controllers, CLIs, and performance-sensitive automation, while Python is effective for integrations, workflow automation, data processing, and rapid operational tooling. I choose the language based on operational requirements, maintainability, team conventions, and the lifecycle of the tool.

How would you introduce AI tooling into the SDLC while maintaining security and quality?

I would begin with bounded, measurable use cases such as documentation assistance, test generation, pull-request summarization, and incident knowledge retrieval. I would apply access controls, approved-model and data-handling policies, human review for production-impacting changes, and metrics that demonstrate improvements in quality, cycle time, or developer satisfaction.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
Opportunity details

About this 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 Team:

The Cloud DX team owns the outer loop of software development at AlphaSense, everything from the moment code is pushed to source control to the moment it reaches production, for ~400 engineers distributed across the globe. We’ve built a solid delivery foundation and we’re now raising the bar toward industry-leading CI/CD. Progressive delivery, canary deployments, automated rollbacks, trunk-based development, GitOps workflows: these aren’t aspirations but the direction we’re actively building, and we’re looking for passionate engineers to help shape what best-in-class looks like.

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 collaborate across timezones with Engineering leaders and very senior Engineers across dozens of teams. You’ll design and operate production-grade delivery infrastructure, contribute hands-on in Go and Python, and help shape the engineering practices a global organisation depends on.
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 push that further, both in their own practice and by helping embed AI-assisted workflows into the SDLC for the wider engineering organization.

Who You Are:

  • Strong experience in Platform Engineering or Developer Experience roles focused on CI/CD and delivery, ideally at companies with 200+ engineers

  • 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

  • Passion for progressive delivery practices: canary deployments & automated rollbacks

  • Familiarity with cloud-native architectures and Kubernetes-based platforms

  • Passion for using AI to improve engineering velocity, quality, and developer experience

  • Strong collaboration skills and ability to influence across teams

  • [Nice to Have] Built and/or maintained an IDP in production

  • [Nice to Have] Previous experience working in both Software and Platform Engineering teams

  • [Nice to Have] Interest in Security and an understanding of RBAC and OAuth

What You’ll Do:

  • 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.

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

We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note:

  • AlphaSense never asks candidates to pay for job applications, equipment, or training.
  • All official communications will come from an @alpha-sense.com email address.
  • If you’re unsure about a job posting or recruiter, verify it on our Careers page.

If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.

Apply now >

This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

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