DevOps Engineer

Sporty; United Kingdom; Remote; GBP 50,000 - 70,000; Full time

Job summary

A leading online gaming brand in the UK is seeking a DevOps Engineer to enhance their cloud infrastructure and streamline deployment processes. The ideal candidate should have over 3 years of experience in DevOps, strong AWS knowledge, and solid Kubernetes management skills. Responsibilities include collaborating with DevOps teams to optimize cloud operations and mentoring junior members. This role supports innovative projects across multiple countries.

Qualifications

• 3+ years of DevOps experience.
• Experience leading project planning and deployment.
• Solid knowledge of AWS and cloud resources.

Responsibilities

• Work with a team of DevOps and DBA professionals.
• Improve existing infrastructure and processes.
• Monitor and maintain cloud infrastructure.
• Take ownership of cloud operation activities.
• Liaise with external security agencies.

Skills

Cloud platforms experience

Kubernetes management

Troubleshooting skills

Networking knowledge

Micro Services understanding

Tools

AWS

Docker

Jenkins

Grafana

Redis

Prometheus

Job description

Sporty Group
Partnered with some of the World’s greatest Champions including Real Madrid FC, Michael Essien and Eder Militao, we’re on the lookout for some Champions of our own to be a part of the 'Top Ranked Fastest Growing and Most Successful Online Gaming Brand in the World'. Home to SportyBet, SportyTV, Sporty.com, Football.com and the newly launched SportyFM, we continue to lead with innovation and exclusive sports content.
Sporty is expanding and we're building the world's go-to platform for everyday entertainment.
We spend millions per year on our infrastructure in order to support millions of users across more than 20 countries. Our DevOps Engineers play a key role in ensuring the smooth operation of the site, as well as setting up new infrastructure for greenfield projects and geographic expansion.

Our Stack

• Languages: Java / Spring Boot, TypeScript / VueJS
• Cloud Libraries: Netflix Eureka, Netflix Ribbon, Feign, Netflix Zuul
• Database: MySQL, Oracle, Mybatis, Druid
• Cache: Redisson, ElastiCache, Redis
• MQ: Apache RocketMQ
• Tasking: Elastic Job
• Server: Netty
• LoadBalance & Proxy: Nginx
• Virtualization: Docker, Kubernetes, Rancher
• Computing & Storage: AWS EC2, VPC, AWS Lambda, EBS, S3
• Maintenance: AWS Opsworks, Salt, Chef
• CI/CD: Drone, AWS Codepipeline, Jenkins
• Monitoring: Grafana, Prometheus, AWS Cloudwatch
• Logging: ELK, Rsyslog, Log4j2
• CDN: Cloudflare

Responsibilities

• Work with a team of DevOps and DBA professionals
• Improve existing infrastructure and processes in the 6 countries we’re currently deployed in as well as streamline processes to deploy to new countries in the future
• Holistically improve all aspects of our DevOps infrastructure including reducing costs; streamlining environment provisioning; lowering response times and incorporating the latest techniques and technologies
• Monitor and maintain the existing cloud infrastructure via autoscaling, automated alerts, and OpsWorks and Grafana dashboards
• Take ownership and responsibility for our cloud operation activities
• Liaise with external security agencies for annual audits as well as perform our own internal security sweeps
• Aid in reconfiguring existing architecture to allow for rapid deployments to new countries
• Mentor less experienced team members

Requirements

• 3+ years DevOps experience
• Experience independently leading the planning and deployment of a project
• Experience with cloud platforms, especially AWS, with solid knowledge of how to utilize cloud resources to fulfill the demand from other teams and production
• Sound understanding of modern Micro Services and Service Mesh concepts
• Experience managing Kubernetes, including CI/CD with Kubernetes
• Solid networking knowledge, especially the TCP / IP stack and HTTP protocol
• Strong understanding of cache, including CDN, HTTP cache, Redis / Memcached
• Excellent troubleshooting skills, including Linux OS issue diagnosis and OS parameter optimization; JVM optimization would be highly advantageous