Backend Engineer (Python/Go)

About Keystone AI At Keystone AI, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Keystone AI isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. Are you excited about building the systems that keep Keystone AI running for millions of customers every day? We’re looking for a pragmatic, product-minded Backend Engineer with strong skills in Python or Go to join our Consumer Platform team – the group behind the core infrastructure and reliability that make Keystone AI fast, stable, and scalable. This is a role at the intersection of backend engineering, platform thinking, and reliability. You’ll work on the systems that power critical purchase flows and the foundations that other teams build on, shaping how Keystone AI performs at scale. What you’ll be doing Day-to-day in this role, you’ll: Build and operate high-throughput backend services in Python and Go Work across the full development lifecycle, from system design to deployment and monitoring Improve the scalability and reliability of Keystone AI’s core platform Design and develop shared services, internal tooling, and platform-level capabilities used across teams Drive cross-team initiatives that raise engineering standards and system resilience Collaborate with product teams and other engineering groups to support critical consumer-facing flows Why this role Work on the backbone of Keystone AI: Consumer Platform sits at the core of Keystone AI’s engineering organization. The systems you build power everything from purchase flows to platform-wide reliability, with direct impact on millions of users. An AI-first engineering team: We don't use AI as a productivity add-on - we treat agentic coding as a core engineering discipline. We expect our engineers to build with AI agents, to challenge what's possible when the human-in-the-loop is a multiplier rather than a bottleneck, and to push the boundaries of what a small, focused team can ship. High-impact, cross-team work: This team is known for driving initiatives that span across Keystone AI. Recent work includes scaling the purchase core to support split payments, building API gateway capabilities for critical flows, and improving reliability standards across the platform. A small team with high leverage: You’ll work in a focused, experienced team where engineers take ownership, move quickly, and influence both technical direction and platform strategy. AI-First Engineering in Consumer Platform We’re building platform teams at the forefront of agentic software development. This goes beyond code generation. We’re interested in engineers who: Design workflows where AI agents assist or own parts of the development loop Think critically about what should be automated versus human-reviewed Build tooling and abstractions that make AI-assisted backend development safer and more effective Stay curious about new models, tools, and approaches, and form strong opinions on what actually works If you find yourself asking “how should this system be built with AI in mind?” you’ll fit right in! Our Tech Stack Python, Go, MongoDB, Redis, Kubernetes, AWS, Datadog, CI/CD pipelines What we’re looking for Strong backend fundamentals: Experience building production-grade backend services using Python, Go, or similar languages. AI-first development mindset: You use AI tools in your daily workflow and think critically about how they improve how you build, debug, and design systems. Experience at scale: You’ve worked on high-traffic production systems and understand the challenges of reliability, performance, and scalability. System design thinking: You have solid fundamentals in designing distributed systems and care about efficiency, robustness, and maintainability. End-to-end ownership mindset: You take responsibility beyond implementation, from shaping solutions to ensuring systems are stable, observable, and production-ready. Ability to work independently and drive projects: You’re comfortable owning work end-to-end, navigating ambiguity, and moving initiatives forward with minimal guidance. Collaboration and communication: You work effectively across teams and communicate clearly in multi-team engineering environments. Reliability and operational awareness: Experience with observability, on-call practices, or reliability engineering is a plus. Platform and tooling exposure: Experience contributing to shared systems, internal tooling, or platform engineering initiatives is a plus. About You You've built and shipped real software - products, platforms, APIs, apps - and you know what it takes to keep things running reliably in production. You have opinions about architecture but hold them lightly. You write tests. You read the alerts. You don't leave loose ends. What sets you apart right now is that you're genuinely excited about where engineering is going. You've been experimenting with AI agents and agentic coding workflows - not because someone told you to, but because you couldn't help yourself. You think about how to redesign your development loop from first principles, not how to bolt AI onto the way you already work. You communicate well, collaborate easily across disciplines, and care about the product as much as the code. You're the kind of engineer who asks "what's the best way to..." and then actually follows through. Where you'll work These roles are based in our tech hubs in Helsinki OR Stockholm. Next steps We’re reviewing applications on a rolling basis, and the role will be filled as soon as we find the right person, so don’t wait! The hiring process typically includes a conversation with the Talent Acquisition Partner, followed by technical interviews, a team chat, and a final decision. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.