Top Remote Entry Level Software Engineer Jobs in CO

Lead the technical direction of Zocdoc’s patient acquisition platform, building scalable APIs, microservices, AWS infrastructure, and React experiences. Improve SEO, page speed, system reliability, and patient-facing data access. Collaborate with Product, Design, and Marketing, integrate third-party data and Contentful, apply LLM technology, promote engineering excellence, mentor engineers, and drive AI-focused innovation across distributed teams.

Build and maintain the TypeScript-based Duo Client SDK, including Node.js core packages, public APIs, browser-compatible modules, Vue 3 client components, and platform adapters. Responsibilities include migrating consumers from the GitLab Language Server, managing versioning and deprecation paths, strengthening credential security, optimizing browser performance, writing tests, conducting code reviews, and participating in on-call support.

Lead Affirm’s Resilience Engineering team, defining strategy and building platforms for safe production load testing and chaos engineering. Manage engineers, establish safeguards such as isolation, approval workflows, rollback, observability, and auditability, and partner across infrastructure, security, and product teams to improve reliability. Drive adoption of resilience practices, identify distributed-system weaknesses, and guide monitoring, alerting, and incident response for production experiments.

As an Outcome Engineer, you will architect multi-agent systems, implement automated governance, and build evaluation frameworks to enhance AI-powered workflows.

The Quantitative Developer will assist with client onboarding, support, implement and maintain new functionality for portfolio compliance, and improve team documentation.

Lead the design and development of backend-heavy full stack applications using workflow orchestration, headless architectures, APIs, microservices, and cloud-native patterns. Build scalable backend services, collaborate with frontend, product, and DevOps teams, enforce quality and security standards, participate in architecture reviews and production support, and mentor engineers while owning technical outcomes.

Leads the design and development of backend-heavy full-stack applications using Java, Angular, microservices, APIs, and cloud-native technologies. Architects workflow orchestration and headless systems, guides engineering teams, reviews architecture, ensures code quality and scalability, collaborates with product and DevOps teams, and supports production systems.

Develop and maintain SAP S/4HANA solutions using ABAP and RAP, including CDS views, behavior definitions, OData V4 services, enhancements, and integrations. Apply Clean Core and HANA-optimized development practices, troubleshoot production issues, participate in code reviews, document technical designs, and collaborate with functional consultants and stakeholders. The role focuses on WM/IM and may involve RF, warehouse automation, PPF, EWM integrations, monitoring, and Fiori extensions.

Design and implement infrastructure services for a GPU-as-a-Service platform. Build REST and gRPC APIs, bare-metal provisioning workflows, Kubernetes cluster lifecycle services, reconciliation loops, reliability mechanisms, and interfaces for hardware and cluster health. The role requires Go, Kubernetes controller patterns, bare-metal provisioning, asynchronous systems, and experience with infrastructure technologies such as Metal3, Cluster API, and Temporal.

Analyze and troubleshoot mainframe JCL batch workloads, schedules, CICS environments, and related configurations. Convert legacy batch jobs into PowerShell scripts for Azure, automate recurring cloud batch processing, optimize concurrency and performance, and maintain secure PowerShell modules. Document business requirements, collaborate with stakeholders and cross-functional technical teams, and support mainframe-to-cloud migration projects using Agile practices.

Build and operate large-scale distributed web crawlers that discover, fetch, extract, deduplicate, and recrawl billions of pages. Develop targeted pipelines for audio, video, and multilingual data, transforming web content into training-ready datasets. Create infrastructure and tooling for researchers to request, monitor, evaluate, and explore crawled data, while ensuring reliability, efficiency, compliance, politeness, and rate-limit handling.