QUALIFICATIONS

• Bachelor’s degree in Computer Science, Data Science Engineering
• A Master’s degree or PhD is highly desirable
• 5+ years of experience in the full software development life cycle, including coding standards, code reviews, version control, build processes, and testing
• 5+ years of experience in software design, development, and algorithm related solutions
• 5+ years of programming Python language.
• CI/CD with Github Actions (Kubernetes/Docker)
• Fast API Service Development (Preferred)
• Async Python (Preferred)
• 1+ years of experience in developing, deploying or optimizing ML models (Preferred)
• Experience in GAI and/or LLMs (Preferred)
• Hands-on experience with generative AI technology (Preferred)
• Experience with cloud platforms like AWS, Google Cloud, or Azure
• Experience in REST-based API development, API lifecycle management and/or client SDKs development
• Strong written and verbal communication skills, with the ability to explain complex concepts to non-technical stakeholders
• Self-motivated, with a passion for learning and staying up-to-date with the latest technologies in the field
• Ability to work independently and as part of a team, managing multiple tasks and projects simultaneously
• Monitor and analyze user feedback to drive continuous improvement in our applications

The United States targeted pay range for this position in the following location is / locations are:

• San Francisco, CA / Bay Area: $139,000 to $209,000 per year

Our pay ranges reflect the minimum and maximum target for new hire pay for the full-time position determined by role, level, and location. Individual pay is based on additional factors including job-related skills, experience, and relevant education and/or training.
This position may be offered in other locations. Your recruiter can share more about the specific pay range for your preferred location during the hiring process.
The targeted pay range listed reflects the base pay only and does not include bonus, equity, or benefits. Employees are eligible for bonus, and equity may be offered depending on the position.
As an employee, you become important to Equinix’s success. Details about our company benefits can be found at the following link:
USA Benefits eBook
Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing form.
Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.

• Design and develop generic, customer-facing objects that promote both ease of use and customization
• Develop and implement AI models. Design machine learning models and algorithms to solve problems and enhance functionality
• Integrate AI solutions. Implement AI into existing software systems to enhance functionality and user experience
• Utilize generative AI tools and frameworks to innovate and improve client interactions. (RAG, Multi agent system development)
• Design, build and coordinate an automated build & release CI/CD process using GHA
• Collaborate with cross-functional teams to gather requirements and implement solutions that enhance customer experience
• Troubleshoot and resolve issues related to client interfaces and user experience
• Hands-on Architecture, Design, Development, Automation Testing & Support of Software Products and Solutions
• Interact with stakeholder(s) to understand and document the product feature(s)
• Provides level of effort (LOE) for product backlog. Work with technical project managers and product management teams to define schedule
• Assist in the analysis & evaluation of new technologies to meet the demand for product roadmap and technology platform goals
• Help in the evaluation and recommendation of appropriate technologies for product features and platform
• Advocate and follow best design and development practices adhering to Engineering standards
• Prioritizing and parallelizing the tasks in hand and dealing with ad-hoc requests