Senior DevOps Engineer, Mexico City

Job description

Lab49 is an award-winning specialist consultancy that creates bespoke technology in partnership with the most important companies in finance. We were founded in 2002 to bring Silicon Valley solutions to Wall Street’s door. Since then, we have worked on successive waves of technological change, including distributed computing, high-speed automation, enterprise UX and digital distribution (for which Lab49 was among the first significant practices established on Wall Street), DevOps, cloud and data science. Lab49 is looking for a DevOps Engineer to help support the greenfield development of a modern, cloud native digital product to improve the proprietary research creation and publication process for a buy side investment manager. ### Key responsibilities: - Architect, design, develop, and deploy DevOps flows to support a digital product development team. - Create and maintain CI/CD flows not just for the product itself, but also code quality, automated QA, living documentation, and developer tooling. - Actively contribute to the adoption of cloud architecture, development and engineering best practices, and new cloud technologies. - Collaborate daily with our clients engineering, cloud, and DevOps teams to align technology choices and implementation with enterprise standards. - Provide guidance, thought leadership, and mentorship to development teams to build cloud competencies. - Define and document best practices and strategies regarding application deployment and infrastructure maintenance. - Be ready to be at the office in CDMX 1 day per week, or more if the project so requires. ### Required Skills and Experience: - 5+ years as a technical IC putting software into production. - Proficiency in IaC and cloud technologies. - Expertise with the Azure ecosystem and Terraform. - Proficient in CI/CD technologies and best practices for deploying software APIs and data pipelines to production. - Proficient with Docker and best practices for creating new API services. - Experience with SQL and creating scheduled data pipeline jobs that power other systems. - Excellent written and spoken English. - Excellent communication skills. ### Desired Skills: - Ideally, exposure to modern JavaScript/TypeScript UI technologies, GraphQL, and the .NET ecosystem. - Experience with GenAI technologies and RAG is a plus.