Software Engineer, Backend – Webex Signaling
The Software Engineer on the Webex Signaling team at Confidential Client develops and maintains cloud-native microservices that power key Webex features such as calling and meetings. The role involves designing, implementing, and supporting scalable, secure distributed systems with a strong focus on DevOps, telemetry, and leveraging AI-assisted engineering tools to enhance productivity and code quality.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Software Development.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
Role Overview
Confidential Client is hiring a Software Engineer, Backend to join the Signaling team in San Jose, CA. This full-time engineering role contributes to backend microservices that power calling, meetings, screen sharing, whiteboarding, transcription, and other real‑time collaboration features. Note: this position includes work the U.S. government has designated as only performable by a U.S. citizen on U.S. soil.
What You’ll Do
- Build and contribute to technical designs and implement backend services in a team that practices CI/CD.
- Develop cloud-native microservices and deploy them on Kubernetes and similar platforms.
- Drive DevOps best practices so services are reliable, scalable, secure, manageable, and supportable.
- Enhance telemetry, observability, and analytics to enable continuous improvement.
- Use approved AI-assisted software engineering tools (e.g., code assistants/agents) throughout the SDLC while applying human judgment to validate output for correctness, security, privacy, performance, maintainability, and licensing/IP.
- Serve as a gatekeeper for high-quality code, designs, and architecture; help create alignment across product and platform teams.
- Contribute to a culture of technical excellence, collaboration, and continuous learning.
Minimum Qualifications
- Bachelor’s or master’s degree in Computer Science, Software Engineering, or a related field — or equivalent experience.
- Production software development experience with Java, Spring and Spring Boot.
- Hands-on experience across the software development lifecycle: design, implementation, testing, deployment, and production support.
- Experience building large-scale distributed applications and working with systems such as Cassandra, Kafka, and Redis.
- Experience using AI tools to increase productivity while validating results.
Preferred Qualifications
- Experience with REST APIs, API design patterns, JSON, containerized systems, and scalable microservices.
- Experience designing or operating telemetry, monitoring, and analytics systems.
- Familiarity with Kubernetes, cloud platforms, CI/CD pipelines, and production observability.
- Experience with SQL and NoSQL databases at scale.
- Strong collaboration, communication, and system-design skills.
Compensation & Benefits
- Posted starting salary range (U.S./Canada): $138,100 – $198,200 (base). Actual pay depends on hiring location, experience, skills, and qualifications.
- Benefits summary (U.S.): medical, dental, vision, 401(k) with match, paid parental leave, disability coverage, paid time off programs, potential equity/RSUs, and additional company‑specific benefits.
- Paid time off and other leave programs vary by role and location.
Additional Details
- Employment type: FULL_TIME.
- Location: San Jose, CA (on‑site / as required by role and security rules).
- Citizenship & work authorization: This role requires U.S. citizenship and must be performed on U.S. soil (per the work statement in the source posting).
- AI tools: The role and development processes may use Cisco‑approved AI-assisted engineering tools. Candidates must apply human judgment to validate AI-generated code/designs/tests and adhere to security, privacy, and licensing requirements.
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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