Top Remote Entry Level Software Engineer Jobs

Lead the full software development lifecycle for internal and customer-facing observability systems. Design, build, deploy, support, and optimize scalable distributed systems and high-throughput data pipelines. Own reliability, performance, testing, documentation, and production readiness; participate in on-call support. Mentor engineers, lead design reviews, investigate incidents, and collaborate with stakeholders to develop effective tooling across the Temporal ecosystem.

Develop ServiceNow customer applications for work order management, scheduling, and dispatch. Collaborate with stakeholders and technical SMEs, enhance event rules and CMDB binding, configure Discovery and Service Mapping, manage MID servers, build integrations using REST APIs, prevent duplicate CIs, and migrate and configure custom discovery and application patterns across environments.

Designs, builds, operates, and supports backend services powering an enterprise AI platform. Responsibilities include developing APIs, AI gateway and orchestration capabilities, entitlements, tenancy models, data access patterns, integrations, and platform services. The engineer owns services throughout design, implementation, testing, deployment, monitoring, reliability, and support while collaborating with client product, engineering, data, and platform stakeholders.

Lead engineering strategy, execution, architecture, recruiting, and team development for an AI-native storytelling and creative tools company. Remain hands-on with prototyping, systems design, technical evaluation, and critical implementation. Track frontier AI, agent systems, generative media, and AI-assisted development to guide product decisions. Partner with creative, product, business, and executive leadership on technical tradeoffs, company strategy, culture, organizational design, and long-term direction.

Own the company’s integration surface, beginning with CargoWise and expanding to Magaya, Descartes, and other operational platforms. Build safe bidirectional write-back connectors with idempotency, replay, reconciliation, validation handling, and workflow safeguards. Integrate deeply with the company’s canonical connector architecture using Python, FastAPI, Celery, PostgreSQL, Redis, and AWS. Apply hands-on TMS and CargoWise/eAdaptor expertise to modify customer systems of record reliably in production.

Own product and engineering as a technical co-founder, writing production code and leading architecture, reliability, observability, AI delivery infrastructure, unit economics, roadmap, customer-facing technical work, and founding-team recruitment. Harden the AI voice front desk for production, scale managed AI worker delivery, balance quality and cost, support legal privacy requirements, and expand the platform into additional AI staff roles.

Develop software infrastructure for AI-era data management at VAST Data. The role is designed for a new college graduate and involves writing clean, documented code using C, C++, or Python, applying data structures and algorithms, communicating effectively, and learning through mentorship from senior engineers.

Develop client-side features for a complex live multiplayer mobile game using Unity3D. Responsibilities include implementing LiveOps content, writing production-ready code, designing feature architecture, optimizing mobile performance, integrating assets, improving asset workflows, and collaborating with international interdisciplinary teams across shared game systems.

As a Software Engineer - Backend, you will develop products and manage engineering infrastructure, focusing on system design, security, and code quality.

Develop, test, deploy, maintain, and support business automation solutions across application and platform layers. Analyze and improve business processes, select appropriate technologies, integrate APIs and microservices, troubleshoot deployed solutions, and apply secure development, logging, and testing practices. Collaborate with technical and business stakeholders throughout the automation lifecycle, provide automation guidance, use Agile and Scrum methodologies, and manage multiple short- and long-term projects.