Senior Software Engineer, Infrastructure

Ripple · Geneva

At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. THE WORK We are seeking a new Staff Software Engineer to join the Platform Engineering team of our Custody department. You'll play a key role in shaping our engineering practices, ensuring the reliability and performance of our platform across a multi-cloud environment, and empowering our engineering team to deliver innovative features with speed and efficiency. You will drive improvements in our automation, observability, and overall platform stability. WHAT YOU'LL DO Design, build, and operate scalable, resilient infrastructure across cloud providers including Azure, AWS, GCP, and IBM Cloud. Lead infrastructure architecture and reliability improvements for critical custody services. Implement and improve monitoring, alerting, logging, and observability across distributed systems. Own and evolve blockchain node infrastructure, including high availability, failover, and provider management. Build automation for infrastructure provisioning, deployments, testing, failover, incident response, and operational maintenance. Drive deployment operations and release reliability for platform and product services. Proactively identify performance bottlenecks, reliability risks, and operational gaps before they impact customers. Participate in on-call rotations, support production incidents, and help improve incident response and post-incident learning. Contribute to internal platform tools, services, and developer workflows. Create clear documentation, runbooks, and operational procedures for critical systems. Mentor engineers and provide technical guidance on infrastructure, reliability, and platform engineering decisions. WHAT YOU'LL BRING 10+ years of experience in software engineering, platform engineering, infrastructure engineering, or systems operations for highly available production systems. Experience managing blockchain nodes, including high availability, failover, and operational resilience. Experience operating infrastructure in high-traffic, customer-critical, or security-sensitive environments. Strong production experience with PostgreSQL. Proven experience provisioning and managing infrastructure with Terraform or similar infrastructure-as-code tools. Deep experience with containerized infrastructure and Kubernetes in highly available environments. Proficiency with programming and scripting languages such as .NET, Go, Bash, or TypeScript. Experience with messaging and queueing technologies such as RabbitMQ or AMQP. Experience with observability tools such as OpenTelemetry, Grafana, Loki, Prometheus, or similar platforms. Familiarity with GitOps practices using platforms like Argo CD or Flux. Experience working with confidential computing solutions like AWS Nitro Enclaves, IBM Hyper Protect Virtual Servers, or GCP Confidential Computing. Excellent ability in solving problems and the ability to diagnose complex distributed system issues. Stro

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