Cloud Customer Success Associate

et of a success engineer. You will train users, gather feedback, and drive platform improvements while ensuring seamless, high-performance experiences.

Primary Responsibilities:

Technical Problem-Solving (Hands-On, 60%):

• Own end-to-end issue resolution for customer challenges, troubleshooting across Kubernetes, cloud infrastructure, APIs, CI/CD pipelines, and automation tools.

• Debug and fix customer-side problems like CI/CD failures, API authentication issues, Kubernetes misconfigurations, and IAM permission errors.

• Investigate and resolve platform-side issues, including container networking failures, workload scaling inefficiencies, and infrastructure constraints.

• Assist customers with optimizing Kubernetes deployments, Terraform configurations, and automation workflows.

• Proactively monitor workloads, recommend improvements, and enhance performance and security.

Customer Enablement & Advocacy (40%):

• Onboard, train, and enable customers on best practices for Kubernetes, CI/CD, API integrations, and cloud service configurations.

• Develop and deliver technical workshops, playbooks, and enablement sessions on key platform capabilities.

• Act as the voice of the customer, ensuring user feedback directly influences product improvements.

• Create and maintain clear, comprehensive technical documentation, FAQs, and troubleshooting guides.

• Simplify complex technical concepts for both engineers and non-technical stakeholders.

Platform Expertise & Reporting:

• Maintain deep knowledge of our platform architecture, workflows, and operations to provide accurate technical guidance.

• Stay ahead of upcoming platform releases, security updates, and roadmap changes, ensuring customers are informed.

• Work with SRE, DevOps, and product teams to improve reliability, automate troubleshooting, and enhance observability.

• Collaborate with requirements management teams to ensure platform features align with customer needs.

• Prepare and present reports on platform performance, risk analysis, incidents, feature adoption, and customer impact.

Basic Qualifications

• Requires BS and 8+ years of prior relevant experience or Masters with 6+ years of prior relevant experience, additional years of experience will be accepted in lieu of a degree.

• Background in Site Reliability Engineering, Cloud Engineering, DevOps, or Systems Administration with a focus on hybrid cloud environments.

• US Citizen and current active DoD Secret clearance.

• Hands-on experience architecting, deploying, and managing cloud solutions on AWS, Azure, or Google Cloud. Experience integrating on-premises infrastructure with cloud services in hybrid environments.

• Expertise in Kubernetes (EKS, AKS, GKE), containerization (Docker, Helm), and cloud-native architectures.

• Proficiency with Terraform, Ansible, or CloudFormation for automated infrastructure provisioning, scaling, and configuration.

• Experience with tools like Prometheus, Grafana, or Splunk to monitor system health, identify issues, and optimize performance.

• Knowledge or hands-on experience with Docker and Kubernetes for deploying and managing containerized applications.

• Strong scripting skills in Python, Bash, or Go for automation and debugging.

• Implementation of IAM policies, encryption, network security, and vulnerability management. Familiarity with DoD security frameworks, compliance standards, and RMF processes.

• Excellent communication skills-able to explain technical concepts clearly to engineers and non-technical stakeholders.

• Customer-first mindset, with a passion for solving problems and enabling success

Preferred Qualifications

• CKA, CKAD, or AWS/Azure certifications.

• Experience in customer-facing technical roles such as solutions engineering, technical account management, or professional services.

• Familiarity with service meshes (Istio, Linkerd), API gateways (Kong, Apigee), and GitOps workflows.

• Experience supporting enterprise PaaS/IaaS environments with large-scale workloads.

Original Posting:
March 28, 2025
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:
Pay Range $104,650.00 - $189,175.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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