Software Engineer [Senior] Experience (Senior Ingeniero de Software Experience) - Latam

Clara
Mexico City, Mexico City, MexicoPosted 7 April 2026

Job Description

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. 🚀 About the Role We’re looking for a hands-on Senior Software Engineer with deep expertise in high-scale, event-driven systems built in Java. This role focuses on designing and operating distributed systems that process high-volume of events across batch and real-time workflows. You’ll contribute architectural ideas, optimize performance at scale, and improve system resilience — without acting as a formal Tech Lead. Our platform runs on AWS and OpenShift (OCP), leverages PostgreSQL and document-oriented NoSQL databases, and demands strong performance discipline. If you’ve tuned the JVM under load, optimized JSONB queries in production, and built reactive systems that don’t fall apart under concurrency — we should talk. 🎯 Key Responsibilities Design and implement high-performance backend services in Java Build and evolve reactive, event-driven architectures handling millions of events Contribute to both batch pipelines and real-time streaming flows Apply reactive programming principles (Project Reactor, Spring WebFlux, or similar) Design and implement resilient asynchronous patterns (retries, backpressure, circuit breakers) Optimize JVM performance (GC tuning, thread pools, memory usage, non-blocking I/O) Design flexible data models using NoSQL in document-style patterns Optimize PostgreSQL performance, including JSONB-heavy queries, indexing strategies (GIN, partial indexes), and query plan analysis Analyze locking, contention, and concurrency bottlenecks Implement strong observability practices (metrics, tracing, distributed logging) Collaborate in architecture discussions and contribute scalable design improvements ✅ What We’re Looking For 7+ years of backend engineering experience with strong Java expertise Proven experience building and operating large-scale event processing systems Hands-on experience with reactive programming (Project Reactor, WebFlux, RxJava, etc.) Deep understanding of non-blocking I/O and asynchronous execution models Strong experience with event-driven architectures (Kafka, SQS/SNS, RabbitMQ, etc.) Solid understanding of distributed systems (eventual consistency, ordering guarantees, idempotency) Experience tuning the JVM in production environments Strong PostgreSQL performance tuning skills Hands-on experience optimizing JSONB queries (GIN indexes, containment queries, query plan analysis) Experience using NoSQL with flexible/document-style data models Strong PostgreSQL performance tuning skills, including JSONB optimization and indexing strategies Experience working in AWS environments and familiarity with Kubernetes-based platforms (OpenShift/OCP) 💡 Nice to Have Experience with Kafka Streams or stream processing frameworks Experience designing hybrid batch + streaming architectures Experience with caching strategies (Redis) Familiarity with load testing and benchmarking ... (truncated, view full listing at source)
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