Overview
As a Senior DevOps Engineer, you will oversee production reliability across cloud and on‑prem environments, shaping scalable platform operations and performance tuning. You’ll partner with developers to improve release practices and service quality, while driving automation to support rapid feature delivery. Your focus on observability, capacity forecasting, and incident leadership will ensure robust, scalable systems. This role offers impact across large distributed applications and meaningful collaboration with cross‑functional teams to meet SLAs and business goals.
Pay / Benefits
- Life Insurance – 4 x Annual Salary
- Private Medical Insurance
- Bonus Scheme
- Employee Assistance Programme
- Hybrid Working – 3 Days from Home
- GP Online Assistance Portal
Responsibilities
- Monitor and interpret system and application metrics to tune performance and troubleshoot issues
- Collaborate with developers to improve service quality through testing and structured releases
- Engage in architectural discussions, manage platform operations, and contribute to capacity forecasting
- Design and implement automated, resilient, scalable solutions
- Maintain feature delivery focus while ensuring stability and adherence to service level goals
- Provide operational support and technical oversight for large-scale distributed applications
Key requirements
- Practical experience managing large-scale Kubernetes clusters; certifications in Kubernetes are a strong bonus
- Hands-on familiarity with Grafana Observability Suite (Loki, Mimir, Tempo)
- Experience with monitoring/automation tools: Splunk, Datadog, PagerDuty, Rundeck
- Experience with configuration management: Ansible, Puppet, Chef
- Professional cloud DevOps certifications (AWS Certified DevOps Engineer, Google Cloud Professional DevOps Engineer, or similar)
- Proficient in at least one language (Python, Go, Java, or C#) and scripting (Bash or PowerShell)
- Solid understanding of AWS core services (EC2, ECS, Lambda, DynamoDB), reliability-focused
- Experience with infrastructure‑as‑code tools (CloudFormation, Terraform)
- Strong CI/CD knowledge with Jenkins, GitLab CI/CD, or CircleCI
- Strong containerization and microservices knowledge (Docker, Kubernetes)
- Experience with observability tools (Prometheus, Grafana, ELK, AWS CloudWatch)
- Proven incident management and blameless postmortem leadership
- Excellent analytical and troubleshooting abilities
- Cross-functional collaboration
- Proactive problem-solving
- Kubernetes
- Grafana
- Loki
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