Top Tech Jobs & Startup Jobs

Build and deploy AI-powered autonomous testing agents that simulate users, identify software failures, and self-heal as products evolve. The role involves working across frontend, backend, and cloud infrastructure; experimenting with models, embeddings, and retrieval pipelines; engaging with users; and turning prototypes into production systems.

Build and define an AI-powered autonomous software testing platform. Responsibilities include developing LLM-powered testing agents, experimenting with models, embeddings, and retrieval pipelines, owning frontend, backend, and cloud infrastructure, shipping production software rapidly, and collaborating directly with users and founders to shape the roadmap.

Design, build, and operate cloud infrastructure for autonomous testing agents. Develop reliable CI/CD pipelines, manage infrastructure as code with Terraform or Pulumi, orchestrate large-scale Kubernetes workloads, and own observability, alerting, incident response, reliability, cost, performance, security, and supply-chain hygiene.

Build pipeline from scratch, define the ideal customer profile, sell autonomous AI-native QA software to CTOs and founders, close new business, and create a repeatable sales playbook. Translate technical product capabilities into business value, provide customer insights to founders and product teams, and help establish a new software testing category.

Design, build, and operate cloud infrastructure for autonomous testing agents. Own CI/CD pipelines, infrastructure as code, Kubernetes-based containerized workloads, observability, alerting, incident response, reliability, cost optimization, and security practices as the platform scales.

Design, build, and operate cloud infrastructure for autonomous testing agents. Develop reliable CI/CD pipelines, manage infrastructure as code with Terraform or Pulumi, orchestrate large-scale Kubernetes workloads, and establish observability, alerting, and incident response. Optimize cloud costs and performance while maintaining security, reliability, and rapid deployment capabilities in a high-ownership startup environment.

Build and define a full-stack platform for autonomous AI-powered software testing. Responsibilities include developing LLM-powered testing agents, experimenting with models, embeddings, and retrieval pipelines, owning frontend, backend, and cloud infrastructure, shipping daily, engaging users, and converting prototypes into production features.

Design, build, and operate cloud infrastructure for autonomous testing agents. Own CI/CD, infrastructure as code, Kubernetes-based workloads, observability, alerting, incident response, reliability, cost optimization, security, and platform scalability. The role requires operating production systems under real load and enabling fast, confident software delivery.

Design, build, and operate cloud infrastructure for autonomous testing agents. Develop hardened CI/CD pipelines, manage infrastructure as code, orchestrate large-scale Kubernetes workloads, and establish observability, alerting, and incident response. Optimize reliability, performance, and cloud costs while maintaining secure practices around secrets, least privilege, and software supply chains.

Develop and deploy reinforcement learning systems that autonomously test modern web applications. Build agents capable of perceiving applications through vision and structure, exploring edge cases, learning from sparse rewards, scaling across environments, and transferring knowledge between applications. The role requires shipping production ML systems, advancing RL methods, and optimizing agents for large-scale GPU infrastructure.