Description

• Design, develop, test, and operate backend services and platform components using Java and Python.
• Build cloud-connected features that allow on-prem collaboration customers to consume cloud services securely.
• Implement integrations for AI-enabled experiences, including orchestration, data flow, API contracts, and device/service compatibility layers.
• Work with product management, architecture, SRE, security, and device teams to translate customer needs into scalable engineering solutions.
• Improve service reliability through instrumentation, logging, monitoring, automated validation, and operational readiness practices.
• Participate in design reviews, code reviews, debugging, production triage, and continuous improvement of engineering practices.

Required Qualifications

• Strong programming experience in Java and Python, with the ability to design clean APIs, services, and reusable platform components.
• Strong analytical and problem-solving abilities
• Solid understanding of backend engineering fundamentals, including data structures, concurrency, networking concepts, REST/gRPC-style APIs, and distributed systems basics.
• Experience building or integrating cloud services, SaaS platforms, or hybrid cloud/on-prem solutions.
• Ability to debug complex issues across services, logs, APIs, customer environments, and device-facing integrations.
• Good understanding of software quality practices, including unit testing, integration testing, CI/CD workflows, and code review discipline.
• Technical ownership, mentoring, design leadership, production accountability, and cross-team influence. Ability to work independently and as part of a collaborative team.
• Strong written and verbal communication skills, with the ability to collaborate across engineering, product, and operations teams.

Preferred Qualifications

• Experience with enterprise collaboration, voice/video, meeting, messaging, contact center, or device management platforms.
• Familiarity with AI/ML service integration, model-backed features, prompt/service orchestration, or AI-assisted customer workflows.
• Exposure to Kubernetes, containers, public cloud platforms, observability stacks, and secure service-to-service communication.
• Experience maintaining compatibility across multiple device generations, firmware levels, or customer deployment models.
• Security-minded engineering approach, especially around identity, authorization, data protection, tenant isolation, and privacy

Key Skills

Education

Bachelor's degree