Top Remote Entry Level Software Engineer Jobs

Build software for renewable energy campuses, including high-fidelity simulations, geospatial data pipelines, automated site and electrical design, and energy management systems. Develop real-time controls, SCADA and telemetry integrations, testing infrastructure, and safety systems for islanded solar and storage facilities. Collaborate with power, civil, and external engineering experts to convert domain knowledge into reliable software and accelerate utility-scale site design and deployment.

Develop products directly with clients to support the growth and strategic direction of S32 portfolio companies. The role involves collaborating with clients, shaping product direction, and delivering meaningful technology solutions. S32 invests across areas including artificial intelligence, enterprise software, cybersecurity, fintech, quantum computing, computational biology, and biotechnology.

Develop and maintain full-stack healthcare applications using Java, Spring Boot, Angular, and TypeScript. Build APIs, data models, user interfaces, and automated testing suites while optimizing data operations for scalability, performance, integrity, and security. Scope and deliver medium-to-large features, reduce technical debt, contribute to system design, and support team members in a remote-first environment.

Develops and supports software applications. The posting requires U.S. citizenship or naturalized citizenship and mandates that all work be performed within the continental United States, Alaska, or Hawaii.

Own client data workflows from intake through validated delivery. Ingest, clean, transform, and validate healthcare datasets using Python and SQL; build automation scripts; troubleshoot pipelines with Engineering; ensure HIPAA-compliant, accurate outputs; package results with clinical context; track client metrics; and improve delivery playbooks and documentation.

Provide primarily technical Oracle EBS support and development, with some functional responsibilities involving HR, payroll, and Oracle HCM Cloud. This is a remote contract role initially lasting three months, with potential for long-term extension. Candidates should be available to start as soon as possible and have experience working across Oracle enterprise applications and HR/payroll systems.

Build and deploy production-quality software integrations within customer aerospace and defense environments. Embed with engineering teams, connect CAD, CFD, FEM, simulation, and digital engineering workflows to Istari’s platform, develop reusable solutions, and serve as the primary technical interface. Translate customer needs into product insights, contribute to architecture and roadmap discussions, and support technical proposals. The role requires onsite customer work, U.S. citizenship, and clearance eligibility.

Design and deliver full-stack applications spanning user interfaces, data models, APIs, backend services, cloud infrastructure, and AI-enabled workflows. Build vector-store and RAG capabilities, deploy Azure services with Terraform and containers, and contribute to architecture, technical roadmaps, code reviews, testing, and system operations. Collaborate directly with business stakeholders to understand needs and deliver scalable, secure, enterprise-grade software. The role also involves identifying patentable innovations, preparing disclosures, and supporting patent prosecution.

Build and ship production software features and fixes independently with strong test coverage. Use AI development tools thoughtfully, learn pharmacy workflows and customer needs, identify bugs and UX issues, and improve rapidly through code reviews and pairing. The role works with a Node.js, TypeScript, and GCP stack in a remote-first environment supporting AI-powered healthcare and pharmacy operations.

Designs and develops Kubernetes-native AI infrastructure for inference and distributed model training. Responsibilities include writing Go-based controllers, operators, APIs, CLIs, and developer tools; optimizing serverless container workflows, GPU scheduling, autoscaling, reliability, security, and workload isolation; and monitoring Kubernetes ecosystem advancements. The role collaborates with technical teams to solve complex distributed-systems challenges and influence the product roadmap.