Infrastructure Engineering DevOps Engineer
Stanford University

Job Info

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Infrastructure Engineering DevOps Engineer🔍Business Affairs: University IT (UIT), Redwood City, California, United StatesNew📁Information Technology Services📅10 hours ago Post Date📅104875 Requisition #Infrastructure Engineering DevOps Engineer
About Us:Join our spirited and innovative Infrastructure Engineering and DevOps team at Enterprise Technology Infrastructure, part of Stanford University IT, as we push the boundaries of service integration through well-designed frameworks and architectures. We harness both current and cutting-edge cloud-centric technologies, constantly evolving to meet the demands of the changing service needs. Our approach is rooted in the belief that software represents the logicalization and automation of human processes, and we employ an AI-driven, DevOps-centric, iterative engineering methodology to tackle challenges of efficiency, scalability, and operational excellence in our IT infrastructure.
We specialize in integrating complex infrastructures to deliver useful, scalable, reliable, and high-performance services. If you're passionate about automation, continuous improvement, and working with the latest technologies, we want to hear from you! If you appreciate the elegance of architecture, well-designed frameworks, iterative engineering processes, and are eager to sharpen your skills, we invite you to join us. The Infrastructure Engineering and DevOps team currently works in a hybrid environment, which this position will be eligible for upon successful completion of onboarding.
This is a hybrid eligible position.
Overview:As a DevOps Engineer, you'll play a key role in designing, building, and maintaining our service-focused platform-based IT infrastructure. You'll collaborate closely with cross-functional teams to develop and utilize well-designed APIs, streamline CI/CD pipelines, and manage containerized applications, with a focus on integrating services like Google Workspace, Office 365, in a cloud-centric environment. Our team prioritizes reliability, scalability, security, and performance-believing that great services stem from well-designed architectures and consistency comes from well-structured frameworks and platforms.
Key Responsibilities:

API Design & Implementation: Develop, document, and manage well-designed, service-focused APIs. We currently prefer Python-based APIs utilizing FastAPI, running in a Kubernetes-based environment.
API-Based Service Integration & Automation: Integrate cloud-based services, including Google Workspace, Office 365, and other third-party APIs, while automating workflows.
Scripting & Infrastructure Automation: Write and maintain scripts and tools (mostly Python & Bash based scripting) to streamline processes and ensure operational efficiency. Automate infrastructure provisioning and management using tools such as Terraform, Ansible, or similar technologies.
CI/CD Pipeline Optimization: Maintain and optimize CI/CD pipelines for automated, reliable, and efficient deployments.
Cross-team Collaboration: Work closely with other teams to integrate infrastructure with application services, supporting cross-team projects, and the entire service development lifecycle.
Cloud Infrastructure Management & Automation: Manage, automate and scale cloud services with a focus on security, performance, and reliability. Design, implement, and manage Kubernetes clusters, ensuring seamless orchestration of containerized applications.
System Monitoring & Incident Response: Monitor system performance, ensure high availability, and respond promptly to incidents or outages.
Infrastructure Upgrades & Planning: Participate in the planning and execution of infrastructure upgrades, migrations, and capacity planning such as Kubernetes cluster upgrades, server and container patching and upgrades, etc.
Security Best Practices: Implement security best practices across the infrastructure, ensuring compliance with policies and regulations.

Required Qualifications:

Proficiency in Python: This is the number one skill required to be successful in this position. Strong experience in Python, ideally 3-5 years, with a focus on building well-structured and well-documented APIs and API-based service integrations.
DevOps Expertise: Minimum of 2 years, Ideally 3-5 years of experience as a DevOps Engineer or software engineer with operational responsibilities providing the knowledge and understanding on best practices of service operations, focusing on infrastructure, automation, and CI/CD.
Growth and Automation-Focused Mindset: You are curious and appreciate the iterative nature of engineering and lean toward automation to enhance both existing processes and your own work.
Scalability & Performance: A mindset geared toward scalability, reliability, and performance in infrastructure management.
Problem-solving & Collaboration: Excellent problem-solving skills and the ability to thrive in a dynamic environment with strong communication skills to collaborate across teams.

Nice-to-Have Skills:These are nice-to-have skills that would enhance your candidacy and add value to our team. These are technologies that our team is involved in.

Other Programming & Scripting skills: Experience and scripting skills in Bash or similar scripting languages such as Zsh besides Python, or programming skills/experiences in node.js/javascript are highly preferred.
Microservices: Experience with microservices architecture utilizing containers.
Containers & Kubernetes: Hands-on experience managing Kubernetes clusters, Docker, and container orchestration environments.
Cloud Infrastructure: Hands-on experience in one of the major cloud provider environments, such as GCP, AWS, or Azure
Infrastructure As Code (IaC): Experience with tools like Terraform, CloudFormation, or Ansible.
Cloud SQL: Familiarity and past experience with cloud-based database management (PostgreSQL, MySQL, etc.).
Service Monitoring & Operations: Experience with monitoring and logging tools like Prometheus, Grafana, ELK stack, or Splunk.
Cloud Certifications: Cloud platform or DevOps certifications (AWS, GCP, Azure, etc.).
CI/CD Automation Tools: Past experience and familiarity with CI/CD tools such as GitLab CI, Github Actions, CircleCI, Jenkins or similar are desired.
Networking & Security: Good understanding of networking, security, and monitoring tools..

The expected pay range for this position is $148,162 - $168,602 per annum.Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.
Why Join Us?

Be part of an innovative and passionate team that values creativity and growth.Work with cutting-edge technologies in a collaborative, flexible environment.Enjoy a culture of continuous learning with opportunities for professional development.We prioritize work-life balance, aiming to provide reliable services that optimize the quality of service, user experiences and minimize disruptions to work and personal life.

How to Apply:Please apply at Stanford Careers. We encourage you to include examples of past work or projects you've led or contributed to, showcasing your expertise (Projects, GitHub repos, articles, etc.).
Join us in helping shape the future of infrastructure engineering and service integrations at Stanford University IT and contribute to the continued excellence of the university in the future. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.

Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form.

Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.Additional Information

• Schedule: Full-time
• Job Code: 4833
• Employee Status: Regular
• Grade: K
• Requisition ID: 104875
• Work Arrangement : Hybrid Eligible

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