Principal Software Engineer – Platform Engineering
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