Staff Software Engineer, Intelligent Systems (GIS, AI, Matching and Recommendations)

Bumble·Удалённо·Удалённо·2д. назад·255 000 – 285 000 $/год

At Bumble, we're building a world where healthy relationships thrive, and intelligent software helps millions of people make meaningful connections every day.

As a Staff Software Engineer on our AI & Intelligent Systems team, you'll help shape the technical direction of AI-powered software across Bumble. You'll build and evolve the distributed systems, services, and platforms that enable intelligent product experiences while partnering closely with Machine Learning Engineers, Data Scientists, Product Managers, and fellow Software Engineers.

You'll remain deeply hands-on as you solve complex technical challenges that span multiple teams. Your impact will extend beyond the code you write through architectural leadership, mentorship, and the ability to help teams build scalable, reliable, and maintainable software.

This is an opportunity to work at the intersection of distributed systems, cloud infrastructure, AI-enabled applications, and intelligent product experiences that serve millions of members worldwide.

What You’ll Do

Lead the design and evolution of large-scale distributed systems and backend services using Kotlin, Go, and Python.
Architect and build scalable cloud-native platforms that enable AI-powered product experiences across Bumble.
Partner closely with Machine Learning Engineers to productionize models, build inference services, and integrate AI capabilities into customer-facing applications.
Solve complex technical challenges across multiple teams, driving architectural decisions that improve scalability, reliability, performance, and developer productivity.
Design reusable platform capabilities, APIs, and developer tooling that accelerate engineering teams and improve the quality of software across the organization.
Build systems that leverage AI, machine learning, and location-aware technologies to create more personalized, intelligent, and context-aware member experiences.
Contribute to the design and implementation of location-aware experiences using geospatial technologies (GIS), location intelligence, and recommendation & matching systems.
Establish engineering best practices around system design, testing, observability, operational excellence, and software quality.
Mentor and coach engineers through technical leadership, architecture reviews, code reviews, and collaborative design discussions.
Leverage modern AI-assisted engineering tools to prototype, develop, and ship high-quality software while maintaining strong engineering judgment and member trust.

About you

8+ years of experience building and operating production backend systems or distributed software platforms.

Expert software engineering skills using Kotlin, Go, Python, Java, or similar modern backend languages.

Demonstrated experience designing scalable, resilient, cloud-native systems running in production.

Experience integrating AI or machine learning capabilities into production software, including model serving, inference services, LLM-powered features, or intelligent automation.

Strong understanding of distributed systems, microservices, APIs, asynchronous messaging, data pipelines, and modern software architecture.

Proven ability to lead complex technical initiatives that span multiple engineering teams through influence, collaboration, and technical expertise.

Experience partnering with Product, Machine Learning, Data Science, Infrastructure, and Security teams to translate ambiguous business problems into scalable technical solutions.

A track record of mentoring engineers, improving engineering practices, and raising the technical bar across an organization.

Strong AI fluency, using modern AI-assisted engineering tools to improve developer productivity while maintaining thoughtful engineering judgment, high software quality, and member trust.

Nice to Have

Experience building recommendation systems, search platforms, personalization engines, or other intelligent decision systems.
Experience with geospatial technologies, GIS platforms, routing systems, spatial databases (e.g., PostGIS), mapping APIs, GPS services, or other location-aware applications.
Experience building platforms or shared infrastructure used by multiple engineering teams.
Familiarity with experimentation platforms, feature delivery systems, event-driven architectures, or real-time data processing.
Experience building consumer-facing products at scale.