Key Accountabilities

• SOFTWARE DEVELOPMENT: Designs and develops high quality software solutions by writing clean, maintainable and efficient codes.
• AUTOMATION: Leads the application of internal software deployment platform, continuous integration or continuous delivery pipeline and twelve factor development methodology to automate the deployment process, ensuring smooth and reliable releases.
• COLLABORATION: Partners with cross functional team of product managers, designers and other engineers to gather complex requirements and deliver solutions that meet business needs.
• TESTING & DEBUGGING: Writes and maintains complex unit tests and integration tests, and performs debugging to maintain the quality and performance of the software, applying test driven development as needed.
• CONTINUOUS IMPROVEMENT: Recommends options for improving the software development and deployment processes, and implements the approved standards to improve efficiency and reliability.
• DOCUMENTATION: Creates and maintains comprehensive documentation for complex software applications, deployment processes and system configurations.
• TECHNICAL SUPPORT: Provides technical support and troubleshooting for complex issues with deployed applications to ensure minimal downtime and fast resolution.

Qualifications

• Minimum requirement of 6 years of relevant work experience. Typically reflects 8 years or more of relevant experience.
• Experience supporting and enabling platform for complex application development activities in DevOps environment.
• Experience building and supporting fully automated cloud platform solutions as Infrastructure as Code.
• Experience working with cloud services platform primarily on AWS and automating the Cloud infrastructure life cycle with tools such as Terraform, GitHub Actions and AWS SDK’s.
• Excellent experience with Go programming language and optionally Python.
• Experience with CI/CD tooling to drive Infrastructure Code Deployment including Ansible, Terraform, Jenkins, GitHub Actions and Golang. Experience with infrastructure and application monitoring tools and enabling observability.
• Experience with Kubernetes, Docker, and microservice application deployments. Experience automating Windows and Linux operating system deployments and management in automatically scaling deployments using software package managers.
• Optionally AWS Professional level certifications – Professional Cloud Architect, Certified Security Specialty and Advanced Networking specialty.