At Gigamon, our purpose is to protect the hybrid networks and data of the largest, most complex organizations on the planet. Certified as a Great Place to Work, we offer a deep observability pipeline that efficiently delivers network-derived intelligence to cloud, security, and observability tools. This helps our customers to eliminate security blind spots, optimize network traffic, and dramatically reduce tool cost and complexity, enabling them to better secure and manage their hybrid cloud infrastructure. Gigamon has served more than 4,000 customers worldwide, including over 80 percent of Fortune 100 enterprises, 9 of the 10 largest mobile network providers, and hundreds of governments and educational organizations.
Please submit resumes in English.
As a Staff Software Engineer on the AI and Cloud Engineering team, you will drive the design and development of scalable enterprise applications that power Gigamon’s industry-leading traffic visibility solutions. You will collaborate closely with cross-functional teams to deliver innovative features for both public and private cloud environments, directly influencing the security and performance of our customers’ hybrid infrastructures. This role offers the opportunity to provide technical leadership, shape architectural decisions, and help define the future of cloud observability at Gigamon. Remote work from the Bay Area will be considered.
What you’ll do:
- Design and implement GigaVUE traffic visibility solutions across public and private cloud platforms, including ESXi, NSX-T, AWS, Azure, GCP, OpenStack, and Kubernetes.
- Integrate AI/ML components into production services, including model serving, feature pipelines, and inference orchestration.
- Collaborate with stakeholders and cross-functional teams (Product, UX, QA, Support) to address technical challenges and deliver proof of concepts for critical modules and new frameworks.
- Review code, provide recommendations on coding standards and best practices, and ensure high-quality software delivery.
- Develop and maintain RESTful web services and microservices using modern frameworks such as Spring Boot.
- Contribute to project planning, estimation, and delivery, ensuring timely and high-quality product releases.
- Engage with customers and third parties to gather requirements and feedback, translating them into impactful product features.
What you’ve done:
- Demonstrated expertise in one or more public or private cloud platforms (e.g., ESXi, NSX-T, AWS, Azure, GCP, OpenStack, Kubernetes).
- 3–5 years of experience in web technology development, with strong skills in Java/J2EE architecture and service-oriented design.
- Proficiency with frameworks such as Spring, Spring Boot, and ORM technologies like Hibernate.
- Hands-on experience designing and implementing RESTful APIs and microservices.
- Practical exposure to AI/ML technologies in production environments.
- Skilled in scripting languages and frameworks, including JavaScript, Python, Node.js, and JSON.
- Strong background in database technologies such as MongoDB, Elasticsearch, Postgres, HBase, or OpenTSDB.
- Experience with source/version control systems (e.g., GIT) and project tracking tools (e.g., JIRA).
- Familiarity with unit testing frameworks like JUnit, with a track record of delivering robust, well-tested code.
- Experience working in distributed development environments.
Who you are:
- A dynamic, self-motivated engineer who thrives in a collaborative, high-achieving team environment.
- An analytical problem-solver with a passion for tackling complex technical challenges.
- An effective communicator, able to articulate technical concepts clearly to diverse audiences.
- Committed to continuous learning and driving innovation in cloud technologies.
- Adaptable and proactive, with a strong sense of ownership and accountability for delivering results.
