DevOps/MLOps Engineer

Global Information System - Enterprise Analytics and Engineering - DevOps

Develops, analyzes and maintains tools that support and automate processes for hardware or software product release. Writes installation scripts and programs for installation of products. Works with project teams to determine an appropriate build schedule and then initiates the build and packaging process. Compiles and assembles software from source code. Ensures tools are stored in source control. Supports developers for software package registry and delivery. Works with others to complete analysis, evaluations and design alternatives and to implement process improvements. Works with development engineers to correct build errors.

Application Ownership and Management: Take ownership of critical DevOps and development tools. This includes upgrades, performance optimization, access management, configuration, and vulnerability management.

Contractor Leadership: Collaborate with and lead outsourced managed services teams, ensuring accountability for application performance and maintenance.

CI/CD Pipeline Development: Design, implement, and optimize CI/CD pipelines for various applications written in C/C++, Java, JavaScript, Node.js, Angular, Python, and other languages.

DevSecOps Initiatives: Integrate security scanning tools into pipelines, and lead DevSecOps efforts across the organization.

Automation Development: Create custom automations using various product-specific APIs to generate reports, metrics, and enhance workflows.

Cloud Infrastructure Management: Work extensively with Azure cloud infrastructure, including services like Azure Databricks and Azure ML.

AI and MLOps Support: Contribute to AI and MLOps initiatives, working with tools like Azure Databricks and OpenAI.

• We are seeking a highly skilled DevOps Engineer to join our team and support our growing DevOps function. This role offers an exciting opportunity to work with a diverse set of applications and technologies, while driving automation and efficiency across our organization.
• Minimum of 8 years of related experience with a Bachelors degree in Computer Science, Software Engineering, or related field or 6 years and a Master s degree; or a PhD with 3 years experience; or equivalent experience.

Required Skills and Qualifications:

Strong programming skills in Python and Linux bash scripting

Extensive experience with DevOps practices and tools

Proficiency in developing and maintaining CI/CD pipelines

Ability to quickly learn and effectively utilize product-specific APIs

Familiarity with cloud platforms, particularly Azure

Experience with containerization technologies (e.g., Docker, Kubernetes)

Strong analytical and problem-solving skills

Excellent communication abilities, both written and verbal

Ability to quickly adapt to new technologies and learn independently

Bachelors degree in Computer Science, Software Engineering, or related field

Preferred Qualifications:

Experience with common DevOps tools and platforms (e.g., Jenkins, Artifactory, SonarQube)

Knowledge of security best practices and DevSecOps principles

Familiarity with AI and MLOps concepts and tools (e.g., Azure Databricks, OpenAI)

Experience with big data processing and analytics platforms

Experience leading or mentoring other team members or contractors

We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.

Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Companys intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.

Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories - On-site Flex and Virtual Flex. On-site Flex you ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. Virtual Flex you ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.