Cloud Developer Intern

Description

The role is onsite, with the expectation that you will mainly work from a company office.

The company is a global edge-to-cloud firm that helps other businesses connect, protect, analyze and act on their data and applications, from the edge to the cloud. This role sits in its Cloud Services group, building service offerings across systems, platforms and applications.

The cloud developer builds from the ground up for mission-critical applications, looking for new approaches to deliver end-to-end technical solutions for customer problems. The role works with project managers and development partners to deliver, deploy, operate, monitor and support cloud engagements.

Responsibilities

• Work with cross-functional teams to design, build and roll out cloud solutions that fit business needs.
• Partner with domain experts to frame machine learning problems for wireless and wired network diagnostics, root cause analysis, remediation and optimization.
• Design, implement and validate machine learning algorithms on big data.
• Lead and oversee the deployment of machine learning solutions, and monitor them once live.
• Apply agentic AI to networking problems.
• Find, debug and fix code issues, and integrate solutions into application architecture.
• Write and run test plans covering performance, scale, usability and security.
• Deploy cloud systems and application code through continuous integration and deployment pipelines.
• Help bring new technologies into projects and contribute ideas for innovation.
• Analyze data and processing problems in science, engineering, business and other areas, and build solutions for complex application, system administration and networking issues.

Requirements

• Working toward a bachelor's or master's degree in computer science, data science, mathematics, physics, statistics or a related field. Master's degree candidates are strongly preferred.
• Understanding of software system design.
• Proficient in Python, including PySpark and Scikit-learn, and familiar with software engineering best practices.
• Basic understanding of object-oriented programming.
• Strong grounding in statistical and machine learning methods, such as anomaly detection, clustering and ranking of events, time series analysis, event stream mining, hypothesis testing, causal inference and deep learning.
• Able to explain concepts and results clearly, with strong data visualization skills.
• Relevant industry experience in data science and machine learning.
• Experience with online learning, reinforcement learning, semi-supervised learning or mixed time-series and event streams is a plus.
• Familiar with generative AI and large language models. Agentic AI experience is a plus.
• The company is an equal opportunity employer and welcomes applications from qualified people with disabilities. To request an accommodation at any stage, use the secure form linked in the posting.

Conditions

Onsite role, mainly based at a company office.

Hourly pay of USD 55.00 to 63.25 for California. Actual offer may vary by location, experience, education or skill level. The range is base pay, and variable incentives may also be offered.

Internship position.

Benefits

• Health and wellbeing coverage that supports physical, financial and emotional wellbeing.
• Development programs to help you reach career goals, including becoming a subject expert or moving into another division.
• Variable incentives may be offered on top of base pay.