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Seattle, Washington, United States
Onsite
Who We Are:
At Rover, pets and their people are at the heart of everything we do. We connect pet parents with trusted pet care across the U.S., Canada, Europe, and Australia.
Headquartered in Seattle and Barcelona, we’re a values driven, fast-growing tech company focused on building safe and personalized experiences tailored to the needs of each unique pet. We’re investing in AI as a business accelerator and provide every team member access to AI tools in service of creating better experiences for our community.
We are proud to be recognized as a great place to work, having been named among the 100 Best Companies to Work For in Seattle Business Magazine and Washington’s Best Workplaces in the Puget Sound Business Journal. At Rover we’re committed to creating an accessible, inclusive, and welcoming community, which starts with our employees.
Want to make an impact? Join our pack and come work (and play!) with us.
Our mission is to ensure that care providers on Rover have the tools to price with confidence and grow their businesses and that pet parents are able to find competitively priced pet care options.
We're a cross-functional team of five full-stack engineers based in Seattle, working closely with product, design, and data science. We share ownership of decisions and outcomes, care deeply about clean code and thoughtful collaboration, and enjoy each other's company along the way, from team lunches and offsites to coffee chats.
If you're looking to learn from a strong team, make an impact, and enjoy the ride, we'd love to hear from you.
Navigates ambiguity with autonomy, taking loose requirements and, with support from senior teammates, turning them into a plan you drive forward, while using AI tools to move efficiently through well-defined work so you can focus on higher-judgment problems.
Takes ownership of projects end-to-end, from understanding the ask through shipping and watching how it performs in production, partnering with senior teammates and your manager as needed.
Builds pet parent- and provider-facing features that make pricing clear, fair, and easy to act on, bringing genuine empathy for both sides of the marketplace and your own perspective on how to solve for them.
Diagnoses issues within your technical stack and work productively across most of the team's domain.
Applies your team's monitoring practices to catch and respond to issues in production.
Cares deeply about code quality and craftsmanship: contributing to a high bar through code reviews, feedback in architectural discussions, and by writing code that's clear, well-tested, and easy for a teammate to review.
Proactively communicates status, blockers, and priorities.
Documents their work and helps keep team documentation accurate.
Participates in, and helps improve, your team's established processes.
Exhibits Rover's core values, acts with integrity, and helps foster a diverse, equitable, and inclusive team environment.
3+ years of professional software development experience.
Backend engineering experience, ideally in Python and Django. If your background is in another major backend language (Java, Go, C#, Kotlin), that's absolutely welcome; what matters most is engineering depth, and we'll support you in ramping up on our stack.
Working knowledge of building web applications, ideally with React or a similar modern frontend framework.
Familiarity with relational databases and basic schema design.
An observability mindset: you're building comfort instrumenting services with structured logging, metrics, tracing, and alerting, and care about understanding system behavior in production, not just at deploy time.
Solid testing habits: you write automated tests (unit, integration) as a core part of shipping, not an afterthought.
AI-augmented engineering: you actively use AI coding assistants (Claude Code, Copilot, or similar) in your daily work, for code generation, debugging, refactoring, code review, and exploring unfamiliar codebases. You understand how to write effective prompts, validate AI output critically, and integrate these tools into a professional workflow.
A note on qualifications: we know great candidates don't always match every requirement. If you're excited about the role but don't meet all the listed qualifications, we still encourage you to apply. You might bring strengths or perspectives we haven't considered, and we'd love to learn more.
Experience with distributed systems patterns: async task queues (Celery, RabbitMQ or similar), caching layers (Memcached, Redis), and event-driven architectures.
Experience with REST API design at scale (Django REST Framework or equivalent).
Exposure to continuous deployment pipelines and infrastructure-as-code practices.
Experience pushing the boundaries of AI-assisted development, building custom workflows, automating repetitive tasks, or using AI tools beyond basic code completion.