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Staff DevOps Engineer (Ingeniero DevOps Staff) - Hybrid

Clara Bogota D.C. / DC / Colombia; Mexico City / CDMX / Mexico; Sao Paulo / SP / BrazilEst. Est. USD 130,000–170,000 / yearLead

Estimated range based on role, country and industry — not published by the company.

Key requirements

  • Python
  • Java
  • Javascript
  • Typescript
  • Postgresql
  • Mysql
  • Aws
  • Kubernetes
  • Ci/Cd
  • Compliance
Clara is the leading spend management platform in Latin America. More than 40,000 businesses run on our corporate cards, bill pay, financing and B2B payments, and in 2025 the Financial Times named Clara the fastest-growing company in Latin America. We're ~400 people, backed by Kaszek, monashees, Coatue, DST Global, ICONIQ, General Catalyst and Goldman Sachs, among others. We are looking for a Staff DevOps Engineer who: Responsibilities: Platform Leadership: Lead the design, adoption, and continuous improvement of the Internal Developer Platform (IDP), driving CI/CD pipeline standardization to increase deployment frequency and reduce Cycle Time. FinOps Strategy: Design and implement engineering FinOps strategy across AWS and other tooling, identifying cost-saving opportunities without compromising reliability. Container Orchestration: Operate and evolve our Kubernetes platform on Amazon EKS, supporting multi-country production workloads (MX/CO/BR). Event-Driven Infrastructure: Support and troubleshoot our Kafka/MSK-based event-driven architecture, used extensively across our microservices for async processing, notifications, and cross-service communication. Applied AI/Automation: Build and integrate MCP-based (Model Context Protocol) or other applied-AI solutions to automate log analysis and accelerate Root Cause Analysis (RCA) during incidents. Technical Advisory: Advise development teams on scalable, secure infrastructure design; identify and mitigate technical debt in legacy systems; support cross-team architectural reviews. Security & Access: Implement and maintain Least Privilege Access (IAM) models for both human and non-human identities, including peer review of policies. SSDLC: Strengthen the Secure Software Development Lifecycle through container standardization, secure base images, and pipeline hardening. Compliance & Audits: Lead technical compliance initiatives for audits, certifications (e.g., ISO 27001), local fintech regulations, and enterprise integration RFPs. Resilience: Design and implement multi-account, multi-region backup and recovery systems. Infrastructure as Code: Define and implement IaC for environment provisioning and management. Operations: Participate in on-call rotations, continuously improving MTTD/MTTR through effective monitoring and alerting. Mentorship: Provide technical support and mentorship to development teams adopting internal tooling (CLIs, container platforms, etc.). Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field. Experience: 5+ years of experience in DevOps, Platform Engineering, or SRE roles, ideally in fintech or regulated environments. Strong experience with multi-account, multi-region AWS (EC2, S3, RDS, Lambda, IAM, or equivalent services). Hands-on experience with Kubernetes on Amazon EKS (cluster operations, scaling, networking, workload troubleshooting) in production. Experience with Apache Kafka / Amazon MSK in production: topic design, consumer group management, performance tuning, and troubleshooting. Experience leading or contributing to the build of Internal Developer Platforms (IDP) and CI/CD standardization (GitHub Actions, self-hosted runners, or similar). Experience in observability and incident management (Datadog or similar) and DORA metrics (Cycle Time, CFR, MTTR). Practical knowledge of cloud security: Least Privilege, SSDLC, and compliance frameworks (ISO 27001, PCI-DSS, or regional fintech regulations). Experience with Infrastructure as Code. Technical Skills: Ruby, Python, JavaScript/TypeScript, Java; PostgreSQL, MySQL, Redis; experience with our core stack of Java/Spring Boot microservices on Kubernetes (EKS) with Kafka/MSK for event-driven communication; familiarity with applying AI/LLMs to operational tasks (automated log analysis, MCPs, agents) is a plus. Additional Skills & Pluses Strong analytical and problem-solving skills, with

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