DevOps Architect

LSports has positioned itself as the number 1 provider of sports data in the world. On its mission to bring innovation to the industry, the company has mastered sports data collection and analysis, advanced data management, and unique stimulation services such as AI-based sports tips, high-quality sport visualization, and more.

The sports data industry is still growing, and LSports real-time solutions are at the forefront.

If you share our love of sports and tech, you've got the passion and will to better the sports-tech and data industries - join the team! We are looking for a highly motivated Senior DevOps Architect.

Responsibilities:

• Design, implement, and oversee CI/CD infrastructure, ensuring efficient and reliable deployment methodologies.
• Collaborate closely with software engineers, QA automation teams Ml-ops engineers , and operations to develop scalable, robust, and agile solutions.
• Lead product discussions, and have a significant influence over the R&D roadmap.
• Take charge of new projects, ensuring timely delivery and high-quality solutions.
• Oversee multiple and consistent environments (Dev, QA, Prod).
• Uphold and enforce security measures and principles throughout the infrastructure.
• Swiftly recover from failures, peruse system logs, and ascertain the seamless completion of jobs.

Requirements:

• Minimum 5 years of hands-on experience with DevOps and cloud technologies.
• Proficiency in programming and scripting languages such as Java, C#, Python, Perl, Bash, Shell, and GO lang.
• In-depth expertise with AWS (2+ years mandatory). Familiarity with Azure and other cloud platforms is a bonus.
• Mastery over CI/CD tools like Jenkins, Azure DevOps, and ArgoCD.
• Profound knowledge in Infrastructure as Code (IaC) using tools like Terraform and Pulumi.
• Experience in orchestrating containerized environments using technologies such as K8s, EKS, Kops, ECS, or their equivalents.
• Comprehensive understanding of microservices development approaches and architectures.
• Expertise in Linux administration, preferably with Red Hat and Ubuntu.
• Experience with monitoring and logging solutions like Prometheus, Datadog, Splunk, FluentD, and AWS CloudWatch.
• Solid networking knowledge, encompassing routing, DNS, DHCP, NAT, etc.
• Automation-first mindset, constantly aiming to reduce manual tasks.
• Exceptional problem-solving skills, with a strong aptitude for root cause analysis and troubleshooting.
• Demonstrated capability to manage tasks from start to finish.
• Experience with MLOps, understanding of integrating machine learning into DevOps processes to streamline and optimize workflows- Big Advantages