Strong Middle DevOps (AWS, Azure, or GCP)

Our customer:
 

A B2B SaaS platform for automating sales, contracts, and revenue. The platform unifies the entire deal lifecycle — from quote creation to revenue recognition.
 

Your Tasks:
 

• Collaborate with engineering teams to design, implement, and maintain reliable and scalable infrastructure
• Manage and troubleshoot Kubernetes clusters in cloud environments (AWS, Azure, or GCP)
• Maintain and optimize containerized workloads, including Helm charts and CI/CD pipelines
• Write scripts to automate operational tasks using Bash, Python, or Go
• Monitor production systems and implement observability solutions using Prometheus, Grafana, and OpenTelemetry
• Conduct root cause analysis for incidents and implement preventative measures
• Continuously improve deployment workflows, production reliability, and operational efficiency
 

Required Experience & Skills:
 

• 3+ years of professional experience in DevOps or Site Reliability Engineering roles
• Hands-on experience with Kubernetes administration
• Hands-on experience with troubleshooting in cloud environments
• Experience managing containerized workloads and maintaining Helm charts
• Solid understanding of CI/CD principles and tools (e.g., Jenkins, GitLab CI, GitHub Actions)
• Proficiency in scripting languages such as Bash, Python, or Go
• Knowledge of monitoring and observability ecosystems (Prometheus, Grafana)
• Experience of distributed tracing with OpenTelemetry
• Strong collaboration and communication skills within engineering teams
• Strong problem-solving skills with a proven track record of performing root cause analysis
• Good command of English (written and spoken)
 

Would Be a Plus:
 

• Experience running, deploying, and debugging Java applications in production
• Proficiency with Java build tools (Maven or Gradle) and CI pipeline optimization
• Understanding of JVM fundamentals (memory management, garbage collection)
• Experience maintaining and scaling Elasticsearch clusters