Senior Cloud Engineer

About the role

Driven by a mission to expand access to higher education through online, competency-based degree programs, WGU is also committed to being a great place to work for a diverse workforce of student-focused professionals.

Essential Functions And Responsibilities

• Leads and performs software deployments across cloud environments.
• Designs and implements advanced monitoring and observability solutions.
• Develops and maintains automation tools for deployment and infrastructure management.
• Optimizes application and system performance and responsiveness.
• Proactively identifies and resolves operational issues to ensure system reliability.
• Enhances infrastructure scalability and stability through continuous improvement.
• Implements and monitors AWS cost optimization strategies to ensure efficient resource usage and budget adherence.
• Documents technical processes and progress using in-house tools.
• Communicates delays and roadblocks to leadership and stakeholders.
• Provides expert guidance and mentorship to development and infrastructure teams.
• Led maintenance and innovation-based projects with cross-functional teams.
• Participates in and supports the team’s on-call rotation.
• Performs other job-related duties as assigned.

Evaluates, develops, and implements AI-enabled solutions

• To improve operational efficiency, automation, observability, and developer productivity.
• To identify opportunities to leverage generative AI and machine learning capabilities within cloud platforms and engineering workflows.

Knowledge, Skills, And Abilities

• Expert-level understanding of AWS core technologies and tools.
• Expert-level understanding of Kubernetes and containerization.
• Advanced administration knowledge of Linux systems.
• Proficient in scripting/programming with Bash, Java, Python, and Node.js.
• Deep understanding of DevOps, Scrum, and ITIL methodologies.
• Expertise in virtualization and containerization technologies.
• Strong knowledge of GitFlow and CI/CD pipelines using Travis, Jenkins, or similar tools.
• Experience with Infrastructure as Code using Terraform, CloudFormation, Chef, or SaltStack.
• Skilled in monitoring and observability tools such as Dynatrace, Nagios, CloudWatch, or IPMon.
• Excellent communication, documentation, and leadership skills.
• Self-motivated with the ability to work independently and collaboratively.
• Strong customer service orientation and analytical problem-solving skills.
• Experience designing, developing, or integrating AI-powered tools, automation workflows, or generative AI solutions.
• Experience leveraging AI-assisted software development and operational tooling to improve engineering productivity and service reliability.
• Strong interpersonal skills with the ability to build trust and establish productive relationships across diverse teams.
• Excellent verbal, written, and presentation communication skills.
• Ability to communicate technical concepts effectively to both technical and non-technical audiences.
• Proven ability to collaborate across organizational boundaries and influence outcomes through partnership and expertise.

Job Qualifications

• Minimum Qualifications: Bachelor's Degree in Information Technology or related field, 7 years of related experience, 3 years of AWS Cloud Services experience.
• Preferred Qualifications: 4+ years of experience working with Kubernetes, 8+ years of experience as a Linux Systems Administrator/Engineer, 6+ years of experience collaborating with development and operational teams.

Pay Range

$143,700.00 - $222,700.00