Principal Software Engineer – Platform Engineering

Software EngineeringRemoteposted 3w ago

About AlphaSense:

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!

About The Role:

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.

What You'll Do:

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

Who You Are:

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

Nice to have:

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. Final offer amounts are determined by multiple factors including candidate experience/expertise and may vary from the amounts listed below.

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

Base Compensation Range

$246,000—$339,000 USD

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.

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