Clera Senior Backend/Full Stack Engineer at Clera to design and operate backend services for large-scale real-time messaging workloads. Own projects end to end including architecture, deployment, and operation.
Responsibilities
Join an engineering team building distributed messaging infrastructure that enables AI agents to work across popular communication platforms. You will own complex systems from architecture through production, shaping the APIs and internal platforms that make the infrastructure reliable and easy to use.
Design and operate highly available backend services for large-scale, real-time messaging workloads.
Own projects end to end, from defining the problem and designing the architecture through deployment and ongoing operation.
Build intuitive APIs, SDKs, and developer tools with thoughtful abstractions.
Address distributed systems challenges involving reliability, concurrency, fault tolerance, and message delivery.
Contribute across backend services, dashboards, internal tools, and infrastructure as needed.
Make pragmatic technical decisions that balance engineering quality with delivery speed.
Use AI coding agents effectively while reviewing generated code and understanding its operational impact.
Take part in architecture discussions, code reviews, and incident analysis.
Qualification
Strong TypeScript and NodeFluency in MandarinSolid knowledge of distributed systemsHands-on experience with PostgreSQLAbility to independently designStrong engineering judgment
Required
At least 3 years of professional software engineering experience, including substantial experience building and operating production backend systems.
Strong TypeScript and Node.js skills, plus experience with another backend language such as Go, Rust, or Swift.
Fluency in Mandarin.
Solid knowledge of distributed systems, concurrency, networking, databases, and API design.
Hands-on experience with PostgreSQL, Redis or other NoSQL systems, AWS, Kubernetes, and cloud infrastructure.
Ability to independently design, build, deploy, and maintain complex systems, with experience in service reliability, observability, incident response, and performance optimization.
Strong engineering judgment, including the ability to critically evaluate AI-generated code.
