Top Remote Entry Level Java Developer Jobs

Build full-stack, agent-driven software for SOX control testing and internal audit workflows. Design reliable and observable LLM agent systems, create structured audit deliverables, own end-to-end technical workstreams, and collaborate with product, design, auditors, and domain experts. Engineers will help shape agentic architecture, AI tooling, evaluation practices, and product direction while working on ambiguous 0-to-1 initiatives.

Principal Software Engineer role at Atlassian with flexible remote, office, or hybrid work options. The provided description primarily details compensation, benefits, company culture, equal employment practices, and employment verification requirements; specific responsibilities and technical qualifications are not included.

Build and operate highly reliable card-issuing software and tooling across authorization, clearing, settlement, certification, and network integrations. Serve as a technical expert on card-network specifications, protocols, mandates, and production behavior. Lead complex cross-team engineering work, debug protocol-level issues, influence network requirements, mentor engineers, improve platform reliability, and participate in on-call support for critical financial systems.

Build and operate highly reliable card-issuing systems at the network boundary. Responsibilities include interpreting specifications, protocols, certifications, mandates, and production behavior; developing production software and conformance tooling; analyzing network messages; driving certification cycles; influencing card networks; mentoring engineers; applying AI-assisted engineering practices; and participating in on-call support for critical financial systems.

Build and operate scalable software powering enterprise data science and AI platforms. Contribute across backend services, APIs, frontend features, and cloud integrations while working on high-impact projects. Collaborate with experienced engineers, apply modern software engineering practices, and learn technologies supporting reliable, reproducible, and compliant AI and MLOps solutions.

Nourish is accepting applications from engineers interested in future building opportunities. The company develops an AI-native digital health platform connecting patients with dietitians, physicians, medications, lab testing, and AI agents to provide insurance-covered metabolic healthcare nationwide.

Design and own secure, scalable wallet infrastructure for custody, key management, transaction signing, authorization, recovery, and multichain systems. Architect support for MPC, HSMs, secure enclaves, TEEs, smart contract wallets, account abstraction, and emerging cryptographic approaches. Define security boundaries, policy engines, secrets management, authentication, and programmable authorization while making foundational build-versus-buy decisions and guiding systems from first principles through production.

Build, test, ship, and operate production backend features with minimal guidance. Design APIs, background jobs, integrations, data models, migrations, and bounded services while maintaining security, performance, observability, and reliability. Review code, improve automated testing, investigate production issues, address technical debt, participate in operational support, and collaborate asynchronously with product, frontend, infrastructure, and security teams. Use AI coding tools responsibly by validating and correcting generated output.

Develop and maintain Java-based microservices and RESTful APIs for Mastercard’s scalable Core Payments platforms. Design solutions, participate in architecture discussions, build automated tests, support CI/CD, improve performance and reliability, apply secure coding practices, conduct code reviews, troubleshoot production issues, and collaborate with engineers, testers, product owners, and stakeholders in an Agile environment.

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.