Jobs / Lin***

Lead Cloud Engineer

Lin*** · Radnor, PA, United States
Radnor, PA, United StatesExp: 5+ yrs135,375-216,600 USD/yearlyHybrid
Remuneration
$135,375 - $216,600 base pay; may also be eligible for a discretionary annual incentive program, long-term incentives, sales incentives, and standard benefits.
Location
Radnor, PA, United States
Visa sponsorship
Sponsors visa

Job summary

The Lead Cloud Engineer designs, builds, automates, and supports enterprise cloud solutions on AWS, while providing technical influence across engineering teams without direct people management. Responsibilities include Python and Infrastructure as Code automation, GitLab CI/CD pipelines, and implementing AI and machine learning capabilities. The role also promotes cloud security, scalability, resiliency, and operational excellence.

Benefits

Paid time off and parental leave401(k) and employee benefitsFinancial counseling, health coaching, and employee assistance programTuition assistanceLeadership development and virtual training

Qualifications

  • At least 5 years of experience in cloud engineering, DevOps, platform engineering, or a related role.
  • Hands-on experience with AWS services and architecture.
  • Strong Python development and automation skills.
  • Experience building and maintaining GitLab CI/CD pipelines.
  • Experience with AI and machine learning technologies and platforms.
  • Knowledge of cloud networking, security, and governance.
  • Experience with Infrastructure as Code tools such as CloudFormation or AWS CDK.
  • Experience with Docker and Kubernetes or Amazon EKS.
  • Experience with Agile delivery methodologies.
  • Strong troubleshooting, problem-solving, and communication skills.
  • Ability to work independently and take initiative.

Responsibilities

  • Design, build, automate, and support enterprise cloud solutions on AWS.
  • Develop and maintain cloud automation using Python and Infrastructure as Code.
  • Build and enhance GitLab CI/CD pipelines.
  • Evaluate, implement, and support AI and machine learning services.
  • Collaborate with architecture, development, security, and operations teams on cloud-native solutions.
  • Apply cloud best practices for security, scalability, resiliency, and operational excellence.
  • Troubleshoot complex cloud platform and application issues.
  • Improve cloud engineering processes and tooling.
  • Maintain technical documentation, standards, and operational procedures.
  • Communicate with technical and non-technical stakeholders.

Skills

AWSAWS CDKCloudFormationCloudWatchConfluenceDatadogDockerDynatraceEKSGitLabGitLab CIIAMJiraKubernetesPythonS3ServiceNowSplunkTerraform

Certifications

AWS Certified Solutions Architect – Associate or ProfessionalAWS Certified DevOps Engineer – ProfessionalAWS Certified Machine Learning – Specialty

Work schedule

Three days per week in an office

Industry

Financial servicesInsurance

Relocation

No