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Senior Backend / Full-Stack Engineer, AI Platform

Uthereal · Zurich

Senior 🇬🇧 English
AWS AWS ECS Distributed systems engineering ETL pipeline orchestration Async job processing Concurrency control Failure recovery Database architecture Query performance management Multi-tenant data infrastructure Backup tooling Observability platform engineering OpenTelemetry Alerting design Containerized workload operations Instance/worker autoscaling Queue-based distributed processing Capacity planning Cost management Cloud-native development

Job description

About the role

Uthereal is building the AI infrastructure that lets knowledge owners turn expertise into queryable, learnable systems. As a Senior Backend / Full-Stack Engineer you will own the production systems that power expert AI, focusing on cloud‑native services, distributed workflows, and data‑intensive back‑ends.

Key responsibilities

  • Design, implement, and operate cloud‑native services on AWS that support AI workloads at scale.
  • Build and maintain distributed processing pipelines, ETL orchestration, and async job processing.
  • Develop robust, secure, observable, and cost‑aware backend architecture.
  • Lead technical execution, shape architectural decisions, and mentor the engineering team.
  • Plan capacity, manage autoscaling, and optimize cost for containerized workloads.

Required profile

  • 5+ years of software engineering experience in fast‑moving product or startup environments.
  • Strong full‑stack background with deep expertise in backend and infrastructure.
  • Hands‑on experience building and operating systems on AWS.
  • Comfort with ambiguity, high ownership, and critical thinking.

Required skills

  • AWS (including ECS)
  • Distributed systems engineering
  • ETL pipeline orchestration
  • Async job processing, concurrency control, failure recovery
  • Database architecture, query performance management, multi‑tenant data infrastructure, backup tooling
  • Observability platform engineering, OpenTelemetry, SLO and alerting design
  • Containerized workload operations, instance/worker autoscaling, queue‑based distributed processing
  • Capacity planning and cost management
  • Cloud‑native development

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Uthereal

Zurich