Find Software Engineering Jobs

Design, build, and maintain APIs, services, and other backend systems across Visable engineering teams. Debug production issues and help implement large-scale features while upholding engineering standards.

Develop frontend and backend requirements for client projects to deliver holistic e-commerce solutions. Deploy regularly and keep client shops up to date while solving technically demanding challenges.

Founding Engineer to own the backend and LLM components of the v1 platform. Build and evolve a Python/FastAPI backend, Postgres models, and a deterministic code-gen pipeline, and implement LLM orchestration and multi-tenant security.

Lead backend work to scale services across cloud and hybrid deployments, owning core components. Collaborate with product and design to deliver features end-to-end and champion thorough testing.

Shape internal systems and drive impact across operations by delivering scalable solutions. Own and extend core internal IT systems (Shopify, Netsuite ERP, Intercom, Webflow) using TypeScript, NextJS, and Temporal.

Design, build, and maintain robust CI/CD pipelines to support rapid development and deployment cycles. Automate infrastructure provisioning and scaling using tools like Terraform, Kubernetes, or Docker.

As a Site Reliability Engineer, you ensure the reliability, scalability, and performance of the KiwiOS IoT platform and related products. You monitor services, manage incidents, automate cloud tasks, and support security, compliance, and documentation.

Plan, implement, and optimize CI/CD processes to ensure fast, reliable software deployments. Automate development, testing, and deployment workflows while monitoring IaaS and PaaS partners and maintaining high availability.

Develop and operate a scalable microservices platform and implement secure service-to-service communication with API Gateways and a Service Mesh. Build and use a telemetry-based observability platform (monitoring, tracing) and support other teams in migrating, integrating and deploying their services.

Grow and manage a data science team, hire and set guidelines, and align with product and cloud infrastructure. Provide technical leadership in advanced modeling, recommender systems, and neural networks, while staying hands-on for at least 50% of the time.