About the role

Senior DevOps Engineer leading a team and managing scalable cloud infrastructure at Rival Technologies. Overseeing deployment processes and collaborating with software development and QA teams to enhance product quality.

Responsibilities

Lead and mentor a team of DevOps engineers, providing guidance, support, and career development opportunities.
Design, implement, and manage scalable, secure, and reliable cloud infrastructure using AWS, including integration with other 3rd party platforms.
Automate and optimize infrastructure management tasks using infrastructure as Code like Terraform, Cloudformation, AWS CDK.
Develop and maintain CI/CD pipelines to ensure efficient, secure and high-quality code deployment. Assess risk and mitigation strategies during the software delivery lifecycle.
Monitor and maintain system performance, ensuring high availability and reliability of all production systems.
Troubleshoot and resolve infrastructure and application issues, providing root cause analysis and implementing preventive measures.
Conduct regular security audits with our Security team, implementing necessary measures to ensure compliance with industry standards and best practices.
Represents the DevOps team at Change Advisory Board (CAB) meetings and signs-off releases.
Stay updated with the latest industry trends and technologies, continuously improving and evolving the DevOps processes and tools.

Bachelor's degree in Computer Science, or a related field; or equivalent experience.
5+ years of experience in DevOps, Systems Engineering, or a related field, with at least 2 years in a leadership role.
Strong experience with cloud platforms, ideally with AWS.
Proficent coding using one or more of these languages: Javascript/NodeJS/Typescript, Python, Go.
Experience implementing infrastructure as code and orchestrations using Terraform. AWS CloudFormation, AWS SDK, Shell scripts.
Experience with CI/CD tools such as Bitbucket Pipeline, Jenkins, GitLab CI, or CircleCI.
Experience in containerization technologies like Docker and orchestration platforms like AWS ECS/Kubernetes.
Solid understanding and knowledge of cloud networking, cloud and pipeline security measures, and monitoring tools such as Datadog and AWS X-Ray.
Experience with translation of security controls and configurations into code and integrate in deployment pipelines.
Experience working with databases and big data sets.
Experience in a 24x7 production environment, troubleshooting skills at all levels (e.g. application, data, network, configuration, host, etc.)
Ability to articulate technical problems in written, diagram and verbal forms.
Strong communication and collaboration skills, with the ability to work effectively across teams and departments. (Engineering, QA, Product Management, etc.)