Top Remote Senior Level Software Engineer Jobs

Senior backend engineer responsible for setting technical direction, designing scalable distributed systems, building customer-facing web applications, mentoring engineers, and applying machine learning to large-scale healthcare data. The role requires Java, Scala, or Rust expertise, cloud systems experience, technical design leadership, cross-functional collaboration, and adoption of agentic engineering practices.

Develop and maintain scalable Java backend applications, REST APIs, and microservices. Integrate backend services with frontend systems and third-party platforms, write efficient code, conduct reviews, troubleshoot issues, optimize performance, and implement security measures. Collaborate with QA, product, and frontend teams while participating in Agile ceremonies, testing, documentation, and service improvements.

Build scalable and resilient Python Django web applications, APIs, SaaS products, mobile solutions, and enterprise integrations. Design back-end architecture, APIs, data models, and integrations; conduct code reviews; ensure secure, performant, maintainable code; mentor developers; document systems; estimate work; and plan project timelines. The role also involves AWS and Azure infrastructure, CI/CD, Docker, observability, and collaboration with product and front-end teams.

Build the architecture and core infrastructure for a neobank-style financial platform serving international entrepreneurs. Responsibilities include KYC/KYB workflows, ledger systems, transaction state machines, banking and payment integrations, reconciliation, secure APIs, asynchronous event processing, compliance tooling, and production deployment. The Founding Engineer will own technical direction, work directly with founders, and develop scalable provider-agnostic systems for multi-currency accounts, money movement, FX, and card issuing.

Build and operate LottieFiles’ platform systems, including a Federation v2 GraphQL gateway, gRPC services, authentication integrations, and developer tooling. Improve developer experience through golden paths, schema workflows, code generation, documentation, and platform enablement. Enhance observability, scalability, security, resilience, latency, and reliability across distributed cloud systems. Collaborate with engineering, product, DevOps, and vendors, resolve incidents, and mentor teammates.

Build and operate scalable, low-latency APIs, event-driven services, integrations, and web applications supporting membership and loyalty experiences. Integrate and extend Antavo with commerce, CRM, CDP, marketing, and data platforms. Apply distributed-systems, reliability, observability, and security practices; troubleshoot production issues; contribute to reusable engineering assets; and mentor junior engineers.

Leads multiple engineering teams delivering AI-powered data connectivity solutions. Owns execution, delivery, technical direction, operational reliability, and cross-team coordination. Develops engineering talent through coaching, hiring, and performance management while partnering with Product and Engineering leadership on priorities and organizational planning. Guides architecture, cloud-native development, incident response, SLOs, and AI-assisted software development practices. Requires strong Java/Kotlin expertise, cloud architecture experience, and technical judgment across distributed systems.

Design and build scalable, extensible software infrastructure for regulated mortgage servicing systems. Collaborate with Product and Design to deliver customer experiences, learn new technologies quickly, and balance technical and product requirements. Develop robust systems capable of handling complex regulations, billions of dollars in loans, and rapid growth in a fast-paced startup environment.

As a Senior Data Engineer, you'll design data architecture, manage data pipelines, develop secure production code, and collaborate with cross-functional teams to innovate healthcare technology solutions.

Build and maintain scalable backend applications, serverless functions, microservices, data workflows, ETL pipelines, and cloud-native architectures using Python and AWS. Manage databases, APIs, batch jobs, and real-time integrations while optimizing performance, scalability, security, compliance, and cost. Collaborate with product, engineering, analytics, and data teams; contribute to architecture, CI/CD, infrastructure automation, development standards, and technical mentorship. Healthcare claims data experience is required.