Member of Engineering - Console, Full-Stack

P
PoolsideAI Software Development
Remote (EMEA)Full-TimeMiddle
Salary not disclosed
Apply NowOpens the employer's application page

Job Details

Required Skills
AWSGCPKubernetesAlgorithmsAzureData StructuresGo

Requirements

  • Solid understanding of AI Agents, agent orchestration, harness engineering or a strong interest in developing expertise in this area
  • Strong computer science fundamentals — you reason confidently about algorithms, data structures, and system design and can apply that depth to ambiguous engineering problems
  • Solid backend engineering experience building production APIs and services; our stack is mostly Go for the backend and Svelte on the frontend, but we're genuinely open to engineers coming from other backgrounds
  • Exposure to infrastructure and orchestration: you've worked with containerized workloads, understand how services are deployed and operated, and ideally have some experience with Kubernetes
  • Comfortable working across the stack: you can navigate a frontend codebase and ship a UI feature when needed, even if backend is where you do your best work - or the other way around
  • Familiarity with cloud environments (AWS, GCP, or Azure) and the operational tooling around them — monitoring, alerting, CI/CD
  • A collaborative, low-ego approach

Responsibilities

  • Design and build the backend services and APIs powering the Console, including provisioning flows, configuration management, and runtime control of poolside instances
  • Design new agentic experiences and blend the worlds of frontier innovation with enterprise-grade visibility
  • Instrument Console systems with telemetry — metrics, structured logging, distributed tracing — to give operators and on-call engineers full visibility into deployment health and system behavior
  • Own features end-to-end across the Console stack, contributing to the frontend UI where needed to connect backend state to the operator experience
  • Collaborate with infrastructure and platform teams to integrate orchestration layers (including Kubernetes-based workload management) into the Console's control surface
  • Define and uphold reliability standards for Console services: alerting strategies, graceful degradation patterns, and incident response tooling
  • Contribute to architectural decisions as the Console evolves toward supporting multi-environment and multi-tenant deployment scenarios
View Full Description & ApplyYou'll be redirected to the employer's site
View details
Apply Now