Senior Cloud Operations Engineer- 10+ yrs- New York, United States- Onsite

Job Requirements Cloud Operations EngineerBuild 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, 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/Google Cloud Platform services.Required experience5+ years in DevOps, SRE, or technical cloud support in production environments. Operating Java runtimes (JVMs) in production on AWS/Azure/Google Cloud Platform: heap 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 preferredInfrastructure 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 stackAWS, Azure, RHEL, Ansible, Python, Jenkins, Harness, Terraform, Kubernetes, Docker, Java / JVM, Kafka, Linux, NFS / NetApp, Splunk, Datadog, New Relic, GitHow we workOn-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.Work Experience 7-10Years