Top Remote Software Engineer Jobs

Analyzes, designs, develops, and maintains Java-based eCommerce systems, web applications, payment-processing integrations, APIs, and distributed infrastructure. The role also builds AI and machine-learning tools for transactional and operational data analysis. Responsibilities include architecture evaluation, performance tuning, security and PCI DSS compliance, testing, documentation, CI/CD maintenance, troubleshooting, and Agile collaboration.

Design, build, test, deploy, and support scalable backend applications across the full software development lifecycle. Collaborate with product, UX, nutrition, vendors, and business stakeholders to define solutions and interfaces. Solve complex architectural problems, refactor code, mentor engineers, communicate technical direction, and develop distributed systems using cloud, big-data, and backend technologies.

Build the enterprise platform for an AI creative product, including workspaces, permissions, SSO, audit logs, usage-based billing, invoicing, payment integrations, and security foundations. Develop backend services, APIs, and polished React/Next.js administrative interfaces for multi-tenant customers. Collaborate with founders, sales, and customers to define and ship enterprise features while taking increasing ownership of platform surfaces.

Work full-stack on a small mobile-focused engineering team building a product-first React Native app. Contribute to product ideation, UX, analytics, and deliver features across frontend and backend (GraphQL, PostgreSQL). Report to Head of Engineering and collaborate on technical decisions, pair-program, and help shape product strategy in a fast-paced startup.

Lead zero-to-one product development while shaping Unify’s product roadmap and engineering foundation. Build scalable AI-powered products using TypeScript, Prisma, Temporal, PostgreSQL, Kubernetes, Pulsar, ClickHouse, and LLMs. Evaluate technology platforms and vendors, establish engineering standards, manage infrastructure, deliver high-quality products at scale, and mentor multiple engineers while collaborating closely with founders, product, design, and engineering teams.

The Principal Engineer will lead the design and delivery of core platform capabilities, focusing on scalable systems, AI application, and mentoring engineers while driving architectural decisions and improving operational systems.

Owns end-to-end architecture for RGA’s investment technology modernization across applications, APIs, integrations, data platforms, cloud infrastructure, and analytics. Defines reference architecture, guides engineering delivery, integrates investment vendors, establishes AWS and Snowflake solutions, and ensures audit-ready controls. The role mentors engineers, supports Agile planning, and partners with enterprise architecture, security, governance, investment operations, and accounting leadership.

Designs and scales high-performance backend web services and ETL pipelines supporting tens of thousands of transactions per second. Responsibilities include architecting fault-tolerant distributed systems, improving performance, developing monitoring and deployment strategies, collaborating across product and engineering teams, and supporting recruiting and onboarding. The role requires expertise in data-intensive systems, microservices, cloud architectures, and commercial SaaS products.

Develop and maintain customer-facing and internal APIs for large location-intelligence datasets. Translate business needs into technical solutions, design Snowflake data structures and efficient SQL queries, build tested applications, document systems, and support production deployments. Collaborate with product and engineering teams, use AWS and multiple programming languages, create data visualizations, participate in Agile development and on-call rotations, and apply generative AI while maintaining security and privacy standards.

Designs, develops, tests, troubleshoots, and implements Java software capabilities, enterprise APIs, RESTful services, and microservices. Uses AI coding agents for feature development, refactoring, testing, and codebase navigation. Collaborates in an agile team, manages multiple deadlines, maintains software quality and security, and supports evolving technologies. The role requires hybrid work in Columbia, Maryland, or San Antonio, Texas, and eligibility to obtain a U.S. government security clearance.