Role Introduction
We’re hiring a skilled Backend Engineer (Lead) to architect, build, and scale the backbone of our voice AI SaaS platform and internal PaaS solutions. You will create robust, secure, and scalable server-side systems that handle real-time voice data, WebRTC interactions, and SIP integrations for enterprise clients. With a multi-tenant, high-traffic environment, our platform needs to be performant, fault-tolerant, and flexible enough to adapt to customer-specific on-prem deployments.
Responsibilities
Design and maintain the core Platform-as-a-Service (PaaS) that supports CozmoS AI’s voice applications and microservices.
Oversee deployment strategies that empower internal and external teams to build on top of our platform with minimal friction.Real-Time Communication (WebRTC & SIP)Integrate and optimize WebRTC and SIP (Session Initiation Protocol) services to enable real-time audio streaming, calls, and other voice features.
Implement signaling, session management, and NAT traversal solutions for voice communication, ensuring low latency and high availability.Multi-Tenant ArchitectureDevelop a highly scalable multi-tenant platform with strict data isolation and resource partitioning to support enterprise customers.
Work closely with DevOps to ensure efficient resource utilization, especially for GPU-heavy voice / AI workloads.Microservices & API DevelopmentDesign and implement backend microservices that power CozmoX AI’s features, focusing on resilience, observability, and performance.
Create and maintain secure, high-throughput REST / GraphQL APIs or SDKs that serve both internal teams and external clients.DevOps & CI / CDOwn the end-to-end delivery process : automated testing, CI / CD pipelines, infrastructure as code (Terraform / CloudFormation), and secret management.
Containerize and orchestrate services with Docker / Kubernetes, handling cloud deployments and on-prem setups for enterprise customers.Observability & PerformanceSet up comprehensive logging, monitoring, and alerting for real-time systems to ensure smooth call flows and rapid troubleshooting.
Continuously optimize server and network performance, focusing on minimizing latency for real-time interactions.Security & ComplianceImplement best-in-class security practices (encryption at rest / in transit, authentication, authorization) in a multi-tenant environment.
Ensure compliance with relevant data protection and privacy standards required by enterprise customers.Collaboration & LeadershipCollaborate with front-end, AI / ML teams, and product stakeholders to align on requirements, APIs, and architecture decisions.
Mentor junior engineers, guide best practices, and drive architectural discussions for future product roadmap.Qualifications
Professional Experience
5 years of backend development experience, with a proven track record in building high-availability, large-scale systems.Demonstrable exposure to real-time communication protocols and tools (WebRTC, SIP, RTP, STUN / TURN, etc.).Experience with multi-tenant SaaS or PaaS offerings, ensuring data isolation and robust partitioning.Technical Expertise
Proficiency in one or more backend languages (Python, Node.js, Go, Java) and frameworks.Hands-on experience with microservices, containerization (Docker), and orchestration (Kubernetes) in production.Strong DevOps fundamentals : CI / CD, Infrastructure as Code (Terraform, CloudFormation), config / secret management.Familiarity with call signaling, session management, and load balancing for RTC or VoIP systems.Understanding of enterprise-level security practices, authentication mechanisms (OAuth, SSO), and compliance requirements.Cloud & On-Prem Deployment
Experience deploying services in public cloud environments (AWS, GCP, or Azure) and on-premises.Knowledge of implementing robust logging and monitoring stacks (ELK, Prometheus, Grafana) for production systems.Preferred Skills
Voice & AI : Knowledge of voice technology stacks, SIP trunking, telephony infrastructure, and how they integrate with AI / ML pipelines.Scalability & Performance : Demonstrated ability to handle high traffic and low-latency demands in RTC contexts.Database & Storage : Working knowledge of both SQL and NoSQL databases, caching layers (Redis, Memcached), and data partitioning strategies.Leadership : Prior experience in leading or mentoring a small engineering team, driving architectural decisions, and influencing product direction.Open Source : Contributions to open-source RTC or backend frameworks; interest in staying on top of emerging backend / telephony trends.J-18808-Ljbffr
