Full Job Description
Cloud Operations Engineer
Build and configure Boomi Cloud environments from IAC pipelines, and keep those definitions versioned and reproducible.
Provide remote technical support for Managed Cloud Service customers, covering runtime installation, configuration, networking, and application errors.
Diagnose root cause across layers: DNS, load balancers, TLS, firewall and routing; VM and storage (NFS, NetApp); JVM heap, GC and thread behaviour; and Boomi runtime and connector errors.
Monitor production health and performance using logs, metrics and traces, and tune alerting thresholds to catch problems early.
Lead post-incident reviews, record findings in the support knowledge base, and add the detection or automation that prevents recurrence.
Build internal tools that automate diagnostics and provisioning, using Python, Claude Code, and AWS/Azure/GCP services.
Required experience
5+ years in DevOps, SRE, or technical cloud support in production environments. Operating Java runtimes (JVMs) in production on AWS/Azure/GCP: heap and GC tuning, thread and memory analysis, and log-based diagnosis.
Hands-on Ansible/Terraform for configuration management, plus working Python for automation and tooling.
CI/CD experience with Jenkins and Harness, including pipeline debugging. Solid networking fundamentals: TCP/IP, TLS, DNS, SSH, and NFS.
Understanding of virtualisation, cloud compute, and storage architecture. Strongly preferred
Infrastructure as code with Terraform or CloudFormation.
Container operations on Kubernetes (EKS, AKS, or OpenShift/ROSA), including pod debugging and cluster networking.
Observability tooling: New Relic, Datadog, Splunk, or the Elastic Stack. Red Hat (RHCSA/RHCE, OpenShift) or AWS associate-level certification.
Core stack
AWS, Azure, RHEL, Ansible, Python, Jenkins, Harness, Terraform, Kubernetes, Docker, Java / JVM, Kafka, Linux, NFS / NetApp, Splunk, Datadog, New Relic, Git
How we work
On-call rotation for production incidents, shared with the wider team. Blameless post-incident reviews. Every root cause ends with a documented fix and, where possible, an automated check.
Engineers pair with support, product and customer teams. Teaching others is part of the job.
