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.
Experience managing MongoDB in production environments.