Description

Role:
• Drive foundational improvements to CI/CD platforms, deployment pipelines, and engineering practices that improve reliability and accelerate software delivery.
• Design and develop reusable frameworks, internal platforms, and developer tools that increase engineering productivity across teams.
• Lead modernization efforts focused on cloud-native technologies, automation, AI-assisted engineering, and developer experience.
• Build and maintain scalable applications, APIs, services, and platform capabilities that support enterprise-scale solutions.
• Partner with engineering, platform, product, and architecture teams to solve cross-functional technical challenges.
• Contribute to architectural decisions that improve scalability, resilience, security, and long-term maintainability.
• Identify opportunities to simplify processes, eliminate inefficiencies, and improve SDLC and PDLC effectiveness.
• Support DevOps and platform engineering initiatives through automation, Infrastructure as Code, and operational excellence practices.
• Mentor engineers and promote engineering best practices across the organization.
• Stay current with emerging technologies and help evaluate opportunities to improve engineering effectiveness through innovation.

All About You:
• Extensive experience as a Software Engineer, Full-Stack Engineer or similar technical role.
• Strong programming experience in one or more modern languages such as C#, Java, Python, Go, or JavaScript/TypeScript.
• Experience designing and building scalable applications, APIs, distributed systems, and cloud-native services.
• Strong understanding of DevOps practices, CI/CD pipelines, and deployment automation using tools such as Jenkins, GitHub Actions, or similar technologies.
• Hands-on experience with cloud platforms such as AWS and/or Azure.
• Experience with Docker, Kubernetes, Infrastructure as Code, and modern platform engineering practices.
• Experience developing internal platforms, frameworks, libraries, or tooling that improve developer productivity and engineering efficiency.
• Familiarity with API management, gateway technologies, secrets management, and infrastructure tooling.
• Experience working with large-scale data platforms, ETL pipelines, or high-volume data processing environments is a plus.
• Strong interest in AI-enabled engineering, workflow automation, and modern software delivery practices.
• Demonstrated technical leadership through complex projects, platform initiatives, or cross-team engineering efforts.
• Strong analytical and problem-solving skills with the ability to navigate ambiguity and drive outcomes.
• Excellent written and verbal communication skills and the ability to collaborate effectively across teams.
• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience

Key Skills

Education

Any Graduate