Senior DevOps Engineer (Palo Alto)

Job Title : Senior DevOps Engineer

Position Type : Full-Time / Permanent

Location : Palo Alto, CA

Salary Range : Starting at $150,000, depending on experience

Job ID# : 158174

Job Description :

As a Senior DevOps Engineer, you will play a key role in shaping and scaling the infrastructure that powers next-generation biology and generative AI research. This is a high-impact opportunity for an experienced engineer who thrives at the intersection of cloud systems, developer productivity, and scientific innovation.

You will define technical standards, build scalable platforms, and collaborate with engineers, scientists, and ML researchers across global offices. In this role, youll establish best practices, streamline developer workflows, and ensure our infrastructure supports groundbreaking discoveries in biomedicine.

Responsibilities

You will continue to develop and empower a diverse team of developers, providing technical guidance and direction and anticipating future resource needs in line with business goals and priorities

Develop and implement a scalable technical strategy to address complex challenges.

Establish technical standards and enhance the developer experience across the organization.

Define team goals, drive execution, and manage cloud infrastructure (GCP, Docker, Terraform, etc.).

Develop reliability and observability strategies to ensure system performance and resilience.

Build tools and processes for effective operational and software development management.

Collaborate on team strategy, set goals, and provide technical direction while fostering growth.

Partner with cross-functional teams (science, engineers, and operations) to align initiatives.

Contribute to core decisions on tools, infrastructure, and architectural design.

Build and operate processes and tools for effective operational management of research and production software and to enable and enhance effective software development practices.

Qualifications

5+ years of relevant industry experience in cloud infrastructure or DevOps roles.

Cloud Infrastructure : Proven experience in building, deploying, and maintaining production systems on major cloud platforms, with a preference for Google Cloud Platform (GCP).

Containerization and Orchestration : Proficiency with Docker and Kubernetes / KubefLow for containerization and orchestration, ensuring efficient deployment and scaling of applications.

Infrastructure as Code (IaC) : Strong understanding of IaC principles, utilizing tools like Terraform to manage and provision cloud resources.

Continuous Integration / Continuous Deployment (CI / CD) : Experience with CI / CD pipelines and release management, employing tools such as GitLab CI, GitHub Actions, or CircleCI to automate testing and deployment processes.

Programming Skills : Advanced proficiency in Python programming, complemented by experience in shell scripting, enabling effective automation and integration tasks.

Deployment Tools : Familiarity with deployment tools like Helm, Kustomize, Kubeflow or Kapitan to manage Kubernetes configurations and streamline application releases.

Monitoring and Observability : Experience with monitoring and observability tools such as Grafana, Prometheus, or Splunk to ensure system reliability and performance.

Security Awareness : Ability to identify security risks within cloud infrastructures and implement measures to mitigate them, ensuring robust and secure systems.

Platform Development : Demonstrated experience in building secure and scalable platforms or products in cloud environments, emphasizing best practices in architecture and design.

Site Reliability Engineering (SRE) and DevOps Practices : Practical experience with modern SRE and DevOps lifecycles, tools, and frameworks, fostering a culture of automation and continuous improvement.

Preferred Qualifications

MLOps Expertise : Proficiency in MLOps frameworks and tools, such as ModelDB, Kubeflow, Pachyderm, and Data Version Control (DVC).

Domain Knowledge : Basic understanding of biology or chemistry; experience in the pharmaceutical or biotech industry is a plus.

Software Engineering Background : Strong foundation in software engineering, with a transition into technical operations roles.

Security Awareness : Ability to identify security risks and implement effective mitigation measures.

Start-up Experience : Demonstrated experience in start-up environments, showcasing adaptability and problem-solving skills.

Production Support : Experience supporting both production systems and machine learning pipelines.

Educational : Masters / Ph.D. in Computer Science, a related technical field, or equivalent practical experience.

Leadership Skills : Proven ability to lead and develop engineering teams of 3-5 members or more.

About Us :

Founded in 2009, IntelliPro stands as a global leader in talent acquisition and HR solutions. Our commitment to delivering unparalleled service to clients, fostering employee growth, and building enduring partnerships sets us apart. With a dynamic presence in the USA, China, Canada, Singapore, Philippines, UK, India, Netherlands, and Germany, we continue to lead the way in global talent solutions.

IntelliPro is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We also ensure that all applicants have access to accommodations throughout the hiring process. Learn more at https : / / intelliprogroup.com

Compensation :

The compensation offered will depend on various factors, including location, experience, education, and job-related skills. This role includes a competitive base salary, bonus, equity, and a comprehensive benefits package, subject to eligibility.