Senior DevOps Engineer

A well-established, mission-driven fintech organization is seeking a Senior DevOps Engineer to join its growing technology team. This company is investing heavily in modern platform engineering, cloud automation, and AI-driven development practices to improve software delivery and developer productivity across enterprise-scale financial systems. They are widely recognized as innovators within the fintech space., The ideal candidate is both strategic and execution-focused-someone with software engineering and DevOps experince., * Champion modernization initiatives by accelerating adoption of cloud-native engineering and AI-assisted development practices. \n

• Spend the majority of your time hands-on designing, building, and maintaining platform tooling, APIs, CI/CD automation, and infrastructure frameworks. \n

• Develop and maintain internal developer tools and self-service capabilities that streamline onboarding, deployments, provisioning, and operational workflows. \n

• Build and maintain Infrastructure-as-Code solutions and cloud automation frameworks within Azure environments. \n

• Support observability and monitoring initiatives through telemetry, dashboards, alerting, and platform visibility improvements. \n

• Partner closely with engineering teams to improve developer workflows, platform reliability, and software delivery velocity. \n

• Research emerging technologies while mentoring engineers and promoting engineering best practices. \n

• 4+ years of professional software engineering experience building and shipping production-grade applications and platforms. \n

• Hands-on Azure cloud experience, including CI/CD pipelines, Azure DevOps, API Management, Container Apps, or related services. \n

• Strong hands-on development experience with C#/.NET, Python, or Typescript/Node.js. \n

• Experience building REST APIs, automation services, and scalable cloud-native systems. \n

• Strong experience with Infrastructure-as-Code tools such as Terraform. \n

• Recent experience leveraging Generative AI tools and prompt engineering techniques, including GitHub Copilot. \n

• Strong understanding of software engineering fundamentals including design patterns, automated testing, CI/CD, and version control. \n

• Familiarity with modern architectural approaches including Domain-Driven Design (DDD), event-driven systems, and Agile methodologies.