Software Developer Engineer

Immigration sponsorship is not available for this position

What you can expect

We are seeking a talented engineer to join our AI Agent Experience team to help build the next-generation intelligent collaboration platform. Our team focuses on the experiential layer of multimodal AI Agent capabilities, deeply integrated into the Zoom Workplace ecosystem. As well as redefining meetings, communication, and collaboration through Agents.

About the Team

You will play a key technical role, leading core architecture design and tackling complex systems, collaborating with top engineers globally to define AI-driven future work methods.

Responsibilities:  

• Architect and develop core AI Agent functionalities using Python and Java, ensuring high-performance, fault-tolerant, and high-availability backend systems that are deeply integrated into Zoom’s global platform;
• Design and implement distributed system components and APIs supporting multimodal AI Agents that handle real-time communication, meeting automation, and intelligent task management;
• Lead cross-functional engineering initiatives by collaborating with product managers, designers, and AI researchers to integrate large language model (LLM)–based capabilities into enterprise collaboration workflows;
• Analyze complex technical requirements and propose scalable design solutions aligned with Zoom’s architectural standards and data security protocols;
• Mentor global engineering teams, sharing specialized expertise in distributed system optimization, database design (MySQL/PostgreSQL, Redis, Kafka), and microservice deployment (Docker, Kubernetes);
• Drive system innovation by identifying and resolving performance bottlenecks, enabling continuous optimization across largescale, cloud-native environments;
• Ensure alignment between AI feature development and enterprise product strategy, contributing to architecture design reviews and technical roadmaps for AI Agent Experience products; and
• Facilitate cross-border collaboration between global R&D centers, coordinating with engineering teams in North America and Asia to ensure consistent standards, integration, and delivery of AI-driven collaboration tools.

What we're looking for:

Requires a Bachelor's degree in Mechatronics Engineering, Computer Science, a related field, or a foreign equivalent. Must have 3 years of experience in job offered or related occupation. Must have 3 years of experience in the following:

• 3 years of experience In-depth understanding of AI Agent architecture, including distributed system design and integration with front-end and AI model services;
• 3 years of experience with Advanced proficiency in Python and Java backend systems, including experience with microservices, API frameworks, and data orchestration pipelines;
• 3 years of experience with Strong background in database optimization (MySQL, PostgreSQL, MongoDB, DynamoDB) and middleware (Redis, Kafka, Elasticsearch);
• 3 years of expertise in containerization and orchestration technologies such as Docker and Kubernetes for large-scale deployments;
• 3 years of experience and familiarity with LLM frameworks (e.g., LangChain, LlamaIndex) and AI-assisted coding tools (e.g., Copilot, Cursor) to enhance engineering efficiency; and
• 3 years of demonstrated experience in cross-functional collaboration within multinational product teams.
• Telecommuting work arrangement permitted: position may work in various unanticipated locations throughout the U.S. Position does not require domestic or international travel.

Zoom Communications, Inc.
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Salary Range or On Target Earnings:

Minimum:

$260,000.00

Maximum:

$332,200.00

In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.

Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.

We also have a location based compensation structure;  there may be a different range for candidates in this and other locations.

Ways of Working
Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.

Benefits
As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contr

and propose scalable design solutions aligned with Zoom’s architectural standards and data security protocols;

Mentor global engineering teams, sharing specialized expertise in distributed system optimization, database design (MySQL/PostgreSQL, Redis, Kafka), and microservice deployment (Docker, Kubernetes);

Drive system innovation by identifying and resolving performance bottlenecks, enabling continuous optimization across largescale, cloud-native environments;

Ensure alignment between AI feature development and enterprise product strategy, contributing to architecture design reviews and technical roadmaps for AI Agent Experience products; and

Facilitate cross-border collaboration between global R&D centers, coordinating with engineering teams in North America and Asia to ensure consistent standards, integration, and delivery of AI-driven collaboration tools.

What we're looking for:

Requires a Bachelor's degree in Mechatronics Engineering, Computer Science, a related field, or a foreign equivalent. Must have 3 years of experience in job offered or related occupation. Must have 3 years of experience in the following:

• 3 years of experience In-depth understanding of AI Agent architecture, including distributed system design and integration with front-end and AI model services;
• 3 years of experience with Advanced proficiency in Python and Java backend systems, including experience with microservices, API frameworks, and data orchestration pipelines;
• 3 years of experience with Strong background in database optimization (MySQL, PostgreSQL, MongoDB, DynamoDB) and middleware (Redis, Kafka, Elasticsearch);
• 3 years of expertise in containerization and orchestration technologies such as Docker and Kubernetes for large-scale deployments;
• 3 years of experience and familiarity with LLM frameworks (e.g., LangChain, LlamaIndex) and AI-assisted coding tools (e.g., C