About this opportunity
Tech Mirrors lists this L2 Operations Support Engineer (Cloud & DevOps) – Remote opportunity in mount laurel township, New Jersey. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Role – L2 Operations Support Engineer (Cloud & DevOps)
Location – USA, Remote
13+ years needed(Production Support/Operation Support, Cloud, DevOps, Kafka)
Position Summary
The L2 Operations Support Engineer is responsible for ensuring the stability, availability, and performance of cloud-native production applications. This role partners with Development, Infrastructure, and DevOps teams to support production operations, application deployments, platform services, and operational automation while driving continuous improvement.
Production Operations & Incident Response
Provide Level 2 support for production applications and platforms.
Monitor system health, troubleshoot incidents, restore service, and perform root cause analysis.
Participate in on-call support and production change activities.
Platform Support (Kubernetes & Kafka)
Support Kubernetes environments, including deployments, scaling, configuration, and troubleshooting.
Monitor and support Kafka clusters, topics, brokers, and consumer groups to ensure reliable messaging.
Application Deployment & Release Management
Support CI/CD pipelines and production deployments.
Execute release validation, environment promotion, and rollback activities.
DevOps Toolchain & Automation
Support DevOps tools including Git, Jenkins, Azure DevOps, GitHub Actions, GitLab CI/CD, or ArgoCD.
Develop and maintain Infrastructure as Code using Terraform, Ansible, or similar tools.
Automate operational tasks using Python, Bash, or PowerShell.
Operational Excellence
Create and maintain runbooks, knowledge articles, and operational procedures.
Partner with Development, Infrastructure, and SRE teams to improve reliability, performance, and operational efficiency.
Support monitoring and observability using tools such as Splunk, Grafana, Prometheus, Datadog, or Dynatrace.
Required Qualifications
4+ years supporting enterprise production environments.
Experience with Kubernetes, Docker, and a public cloud platform (AWS, Azure, or GCP).
Experience supporting Kafka or similar messaging platforms.
Hands-on experience with CI/CD pipelines and Infrastructure as Code.
Strong Linux administration, scripting, troubleshooting, and communication skills.
Preferred Qualifications
Cloud, Kubernetes (CKA), Terraform, or ITIL certifications.
Experience working in Agile, DevOps, or DevSecOps environments.
Success Measures
Maintain high production availability and SLA compliance.
Reduce incident resolution times through effective troubleshooting and automation.
Deliver reliable deployments with minimal production impact.
Continuously improve operational processes, documentation, and platform stability.
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Who can apply
Review the original listing for work authorization, qualifications and employer requirements.