Top Remote Entry Level Java Developer Jobs

Design, implement, test, and operate features for Temporal’s open-source distributed workflow server. The role focuses on backend systems, task processing, scheduling, persistence, visibility, reliability, performance, observability, and developer experience. The engineer will collaborate across teams, participate in design and code reviews, improve documentation and operational tooling, and contribute to a complex open-source codebase while developing distributed systems expertise.

Build and operate Origin’s AI observability platform across data-collection agents, backend services, infrastructure, inference pipelines, APIs, and React interfaces. Design distributed systems using AWS, EKS, ClickHouse, and Kafka for high-throughput, multi-tenant production workloads. Develop internal coding agents and define AI-native engineering practices while making decisions around storage, APIs, performance, and reliability.

Design and build complex customer-facing product features, own technical decisions, contribute to architecture and technical direction, uphold code quality, mentor engineers, and support production incidents. The role collaborates closely with Product and Design across a modern web stack including React, TypeScript, Node.js, .NET, relational databases, and Microsoft Azure.

Lead hands-on software engineering and architecture across multiple teams, designing and delivering Angular and .NET applications, APIs, integrations, cloud solutions, and reusable engineering platforms. Modernize legacy systems, improve reliability and security, troubleshoot production issues, strengthen CI/CD and testing, and mentor engineers. Establish practical AI-assisted development practices and customer-facing AI capabilities with appropriate security, validation, traceability, and human oversight.

Designs, develops, tests, and implements Microsoft Power Platform solutions for clients. Builds Power Apps using Dataverse, Power Automate, SharePoint, Excel, and Forms; creates Power BI analytics with Power Query and DAX; designs data models; integrates systems; modernizes legacy applications; troubleshoots and optimizes solutions; and communicates requirements, designs, progress, and documentation to clients and project teams.

Build and maintain mission-critical wealth management systems for SMB clients. Design data pipelines, ETL/ELT processes, data models, warehouses, analytics, and reporting solutions using AWS, Snowflake, Mage AI, and other big data tools. Collaborate with data scientists and analysts on predictive models, statistical analyses, and machine learning algorithms. Develop software with Next.js and Python while working closely with the team and clients on financial-domain challenges.

Lead the engineering department, develop and empower engineers, establish systems and guardrails for reliable delivery, improve workflows, maintain technical involvement, and set metrics that drive productivity and impact. The role partners closely with Product, supports high-impact decisions, and builds a culture of trust, psychological safety, ownership, and clear communication.

Talent community opportunity for future technical roles at RapidSOS. Potential responsibilities include developing and supporting life-saving technology, collaborating with Product on public safety solutions, leading or supporting engineers, owning strategic initiatives, and improving tools and processes. Candidates should be collaborative, self-motivated, adaptable, detail-oriented, eager to learn and leverage AI, and comfortable in a fast-paced startup environment.

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.

Builds simulation infrastructure and software-in-the-loop sensor simulation products that help customers test and validate autonomous driving, drone delivery, eVTOL, robotics, and other physical AI systems safely at scale.