At Bumble, our mission is to create a world where all relationships are healthy and equitable. The Trust & Safety team plays a critical role in bringing this to life - building systems that protect our community and ensure millions of people can connect with confidence.
As a Senior Software Engineer within Trust & Safety, you’ll help shape the core infrastructure that detects, prevents, and responds to harmful behavior at scale. This is deeply impactful work, combining strong engineering fundamentals with AI-powered technologies to build intelligent, proactive safety systems. You’ll collaborate with a passionate, cross-functional team and play a key role in evolving a platform that puts people first.
We move with purpose and care - balancing speed with responsibility - and we’re looking for someone who shares our commitment to innovation, curiosity, and protecting our users.
What You'll do
Deliver high-quality, scalable, and reliable code that strengthens Bumble’s Trust & Safety systems and protects our global community
Contribute across the full development lifecycle, from design through deployment, monitoring, and continuous improvement
Collaborate cross-functionally with engineers, data scientists, and product partners to build systems that proactively detect and prevent harm
Guide and mentor engineers, sharing best practices and fostering a culture of excellence, curiosity, and continuous learning
Take ownership of complex technical problems, driving solutions from insight to impact with an agile mindset
Leverage AI tools to accelerate development, run operations, improve code quality, and enhance problem-solving efficiency, while applying strong human judgment and accountability
Champion responsible and inclusive use of AI in engineering workflows, ensuring outputs are accurate, unbiased, and aligned with user safety principles
Help shape a fast-moving, high-impact engineering culture that values innovation and respect for our users
About You
Typically requires 3–5 years of experience, though we welcome candidates with alternative backgrounds that demonstrate equivalent skills
Strong experience writing production-level software in at least one modern programming language
Proven ability to deliver complex projects end-to-end and take ownership of outcomes
Effective collaborator who works cross-functionally and communicates clearly with technical and non-technical partners
Demonstrates an agile mindset, adapting quickly and seeing work through from idea to impact
Comfortable using AI-powered tools (e.g. ChatGPT, Claude, Cursor, Copilot) to improve engineering productivity, code quality, and learning speed
Experience with ML-assisted development workflows and experimentation
Applies AI thoughtfully and responsibly -validating outputs, identifying bias or errors, and using human judgment in decision-making
Strong curiosity and a growth mindset, with a desire to explore new technologies and continuously improve
Nice to Haves
Experience with relational and non-relational databases
Experience with cloud platforms (eg AWS, Azure, GCP), containerization (eg Docker, Kubernetes), and deployment pipelines
Experience in Trust & Safety, machine learning systems, or recommendation systems
Location
This role is based in Austin, and we ask that you’re within a commutable distance to this office, so that you’re able to come onsite regularly to collaborate across engineering teams.
We have a hybrid environment that requires you to be in the office Monday - Wednesday.
Please note: We are unable to offer Visa sponsorship at this time
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