opengreenhousealter
Senior Backend Engineer — ClarOps (Ingeniero Backend Senior de ClarOps) - Remote
Clara
LocationLatin America
Last observed2026-06-24 08:29:35.644896
Job idalter-clara:greenhouse:5150839007
Ready to accelerate your career? Clara is the fastest-growing company in Latin America. We've built the leading solution for companies to make and manage all their payments. We already help over 20,000 large and growing businesses operate with agility and financial clarity through locally issued corporate cards, bill pay, financing, and a powerful B2B platform built for scale. Clara is backed by some of the most successful investors in the world, including top regional VCs like monashees, Kaszek, and Canary, and leading global funds like Notable Capital, Coatue, DST Global Partners, ICONIQ Growth, General Catalyst, Citi Ventures, SV Angel, Citius, Endeavor Catalyst, and Goldman Sachs - in addition to dozens of angel investors and local family offices. We’re building the financial infrastructure that powers high-performing organizations across the region. We invite you to join us if you want to be part of a fast-paced environment that will accelerate your career and support you to do some of the best work of your life alongside a passionate and committed team distributed across the Americas. What you'll do We're looking for a Senior Backend Engineer to lead backend initiatives within the ClarOps team. ClarOps is the team that makes Clara run. We build and operate the internal systems and services that power the day-to-day of the business. A big part of the road ahead is building the integration platform that lets the rest of the Clara ecosystem plug into this backend, including the new wave of tools other teams are building on top of AI. The roadmap is one of the most interesting at the company: re-architecting how Clara runs around AI, with deep cross-functional reach and real leverage on how we scale. This role goes beyond coding: you'll shape technical direction, raise the engineering bar across the team, and own the performance and scalability of the systems that directly support Clara's operational efficiency. You'll influence architecture, drive decisions, and partner cross-functionally on some of Clara's most impactful challenges. We move fast and trust our engineers to own outcomes end-to-end. That means autonomy to make decisions, proactivity to surface problems before they become blockers, and the attitude to push initiatives across the finish line without waiting to be told what to do. Your responsibilities will include: Leading design and implementation for high-impact internal systems and services. Building the integration platform and surfaces that let other teams across Clara, and AI agents, connect into the ClarOps backend. Collaborating across the full product lifecycle, from ideation to deployment, utilizing CI/CD and Github best practices. Elevating the team through code reviews, pairing, and sharing what you know with peers. Maintaining and evolving microservices within a modern architecture. Driving cross-team problem-solving and architectural discussions. Applying AI tools to ship faster and improve how the team works. Who you are We’re looking for someone who meets the minimum requirements to be considered for the role. The preferred qualifications are a bonus, not a requirement. Must haves 5+ years of backend development experience, showing proven role-specific execution in production environments. Solid foundation in Java and Spring Boot. You don't need to have every API memorized — we expect you to lean on AI tools to move faster and fill gaps — but you need the judgment to know when the code is right, when it's wrong, and why. Strong understanding of microservices architecture and event-driven systems using infrastructure components like Kafka. Familiarity with cloud platforms, preferably AWS , and modern development tooling. Working proficiency in English and Spanish, with the ability to lead technical discussions across geographies. High autonomy, proactivity, and ownership mindset. You don't wait for direction — you spot what needs to happen and drive it. A genuine pull toward AI. You don't need to
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