Lead DevOps Engineer

Ready to lead the charge in seamless software delivery? Find your bounce at tombola! 🚀

At tombola, we build our own amazing games and platforms, and getting that cutting-edge software to our players reliably and efficiently is key. We're looking for a Lead DevOps Engineer to head up a team/function that designs, implements, and maintains the infrastructure, automation, and deployment processes that power our high-quality software delivery. You'll help bridge the gap between development and operations, ensuring scalable, reliable, and secure systems that always align with our business goals.

What will you be doing? 🔎

As a Lead DevOps Engineer, you'll be instrumental in shaping our infrastructure and delivery pipelines. You'll guide a team, driving best practices in automation, monitoring, and cloud management to keep tombola at the forefront of online gaming.

Key Accountabilities and Responsibilities:

Team Leadership and Management

• Providing leadership, management, and development for your direct reports.
• Achieving this through effective 1-to-1s, clear objective setting (OKRs), and performance management.
• Making team goals clear and ensuring they align with our broader business objectives.
• Collaborating with other teams and departments to achieve shared success.
• Partnering with our People Partner for tech to build robust team management practices.

Continuous Integration and Continuous Deployment (CI/CD)

• Develop and maintain CI/CD pipelines: Automating the process of software integration, testing, and deployment to speed up software delivery.
• Integrate various tools: Ensure the development process integrates seamlessly with build and deployment tools (e.g., Octopus Deploy, GitHub, TeamCity).
• Automate deployment processes: Make sure deployments are fully automated and can be performed with minimal manual intervention.

Infrastructure Management

• Provisioning and managing infrastructure: Utilise Infrastructure as Code (IaC) tools like Terraform or CloudFormation to provision and manage infrastructure in AWS cloud environments.
• Optimize resource usage: Ensure our infrastructure runs efficiently in terms of cost, resource allocation, and performance.
• Scalability and availability: Ensure systems and applications are scalable and highly available by setting up robust monitoring, scaling, and failover mechanisms.

Monitoring and Incident Management

• Set up monitoring tools: Implement tools like CloudWatch and Dynatrace to monitor system health, performance, and availability.
• Respond to incidents: Be part of the team that responds quickly to system outages or issues, performing root cause analysis and implementing fixes or improvements.
• Log management: Ensure logging is properly set up using tools like FluentD and Kibana, and use logs for troubleshooting and improving system reliability.

Automation

• Automate manual tasks: Identify and automate repetitive tasks like environment setup, configuration management, and updates.
• Script development: Write scripts to automate common operations, reducing manual intervention and potential errors.

Collaboration with Development and Operations Teams

• Foster collaboration: Work closely with developers, system administrators, and other teams to align goals and requirements, ensuring seamless development and deployment processes.
• Code reviews and quality: Collaborate with developers to ensure code meets operational standards and can be deployed reliably.

Security and Compliance

• Ensure security in the pipeline: Integrate security practices into the development pipeline (DevSecOps), ensuring vulnerabilities are identified early.
• Maintain compliance: Ensure infrastructure and processes comply with industry regulations and standards (e.g., GDPR, ISO, SOC 2).

Cloud Management

• Cloud architecture and management: Design, implement, and maintain infrastructure on AWS.
• Cost management: Monitor cloud costs and optimize resource utilization to control run-rate.

Performance and Reliability Optimization

• Ensure optimal performance: Continuously assess and optimize system performance to handle load efficiently and minimize downtime.
• Disaster recovery planning: Develop and test disaster recovery plans to ensure business continuity.

Version Control and Configuration Management

• Version control systems: Use tools like Git to manage code changes and ensure proper branching, merging, and versioning.
• Configuration management: Use tools like AWS Control Tower, SSM, and Config to maintain consistent environments across development, staging, and production.

Documentation

• Maintain clear documentation: Document infrastructure, deployment processes, and operational procedures to ensure knowledge sharing across the team.

Performance Metrics and Reporting

• Collect and analyze metrics: Gather system metrics and provide regular reports on system performance, uptime, and resource usage to stakeholders.
• Optimization recommendations: Based on the metrics, suggest improvements to optimize the performance and cost-effectiveness of the system.

Continuous Improvement

• Stay up-to-date with industry trends: Regularly evaluate new tools, technologies, and practices that could improve the development and operations process.
• Implement best practices: Apply best practices for automation, system design, and security to improve the reliability, scalability, and efficiency of the infrastructure.