Principal Software Engineer – Platform Engineering

AlphaSense·Remote - United States·12 авг.

Principal Software Engineer – Platform Engineering

🌍 УдалённоLeadПолная занятость🌐 Глобал

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Наша компания

The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content. The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us!

Чем предстоит заниматься

AlphaSense runs a large-scale, Kubernetes-native platform built on a modern microservices architecture, serving the majority of the Fortune 500. We're now moving it into a cell-based architecture, where each cell is an independent deployment of the platform, and the cell count is heading from dozens toward hundreds, including private and isolated clouds

Platform tooling only takes that so far. The rest of the problem is architectural and it sits in the services: how they're structured, how they're bounded, and what they assume about the environment they run in. This role owns that side of the work

You'll set the architectural direction for how our services scale horizontally across regions, cells and deployment models, and you'll build it rather than specify it. You'll own the environments configuration management framework to operate environments as a fleet, and the services and libraries to make it work. Where the answer is a re-architecture rather than a patch, you design it and you write it. Much of it lands in code other teams own, so influence matters as much as design

The scope is deliberately broad: hundreds of services, several languages, and the latitude to go after whichever scalability limit matters most. Our main languages are Java, Python, React and Rust

We use AI tooling heavily and expect the same from you, along with a view on how the rest of engineering should be using it

Drive the service-side changes cell architecture needs: re-architecture, shared library, etc

Decompose hundreds of microservices into sub-systems with independent lifecycles

Find and close horizontal scalability gaps across regions, cells and deployment models

Own the environments application configuration management framework end-to-end

Own the services and libraries specific to private and isolated cloud deployments

Design and land changes directly in product services, partnering with the teams that own them

Set the architecture patterns and reference implementations product teams build against

Make configuration a runtime concern rather than something baked into service code

Partner with Cloud Platform, SRE and DevEx on where the service and platform boundary should sit

Raise the architectural bar across the org and mentor Staff and Senior engineers

Embed AI tooling into day-to-day development for lasting productivity gains

Наши требования

Deep hands-on architecture experience in large microservice estates, at least in hundreds

Strong in Java and Python, and willing to contribute to other tech stacks if needed

Track record decomposing large service estates into sub-systems that can evolve independently

Proven experience designing for horizontal scalability across regions and independent deployments

Experience with cell-based, multi-tenant or multi-region architectures

Strong cloud-native background: Kubernetes, containers and AWS

Experience externalising configuration and removing environment coupling from application code

Demonstrated ability to land significant changes in code owned by other teams

A record of spotting architectural limits before they turn into incidents

Ability and desire to design, lead, influence and deliver on ambitious technical roadmaps

Experience with Vespa

Experience with private, isolated, on-premise or air-gapped deployments

Design and stewardship of shared libraries or internal frameworks used by many teams

For base compensation, we set standard ranges for all roles based on function and level benchmarked against similar stage growth companies and internal comparables. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location

You may also be offered a performance-based bonus, equity, and a generous benefits program

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 -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

Дополнительно

Base Compensation Range

$246,000—$339,000 USD

AlphaSense

Remote - United States

ГрейдLead

ЗанятостьПолная занятость

РегионСША

ФорматУдалённо

ИсточникСкрыто

Опубликовано12 авг.

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