Top Remote Software Engineer Jobs

Develops, maintains, and supports EDI and API integration systems, including translation maps, scripts, transaction workflows, testing, monitoring, troubleshooting, and security. Collaborates with business, technical, trading partner, and service-provider teams to gather requirements, improve processes, manage changes, support onboarding, and ensure reliable data transmission. The role also contributes to project management, business process analysis, documentation, user acceptance testing, and integration-related implementations.

Own and evolve StackYak’s backend control plane, including PostgreSQL data models, durable workflows, APIs, identity and authorization, infrastructure integrations, billing, and production reliability. Build programmatic access through management APIs, Terraform, CLI, and agent interfaces. Design systems for correctness, idempotency, tenancy, security, and partial failure while operating the platform in production and shaping its technical standards.

Build and ship full-stack product features across HR-facing and employee health insurance platforms. Partner directly with stakeholders, own product decisions, integrate LLM-driven agents and experiences, maintain code quality, improve observability, and help establish the technical foundation using modern AI development tools.

Lead end-to-end development of scalable web applications using Node.js, React, MongoDB, and Google Cloud. Build analytics, identity resolution, personalization, integrations, and advanced visualizations using AI-assisted, spec-driven workflows. Develop LLM integrations, configure AI agents, maintain MCP servers, automate testing and CI/CD, and support observability. Serve as a Feature Lead by guiding architecture, technical specifications, documentation, and cross-functional communication.

Designs and builds secure, scalable distributed backend systems using Python and AWS. Responsibilities include event-driven architectures, asynchronous processing, cloud data pipelines, serverless applications, REST APIs, performance optimization, authentication, and cloud security. The role requires strong distributed systems, testing, debugging, and backend development expertise, with GenAI, LLM, RAG, and vector database experience preferred.

Build, maintain, and deploy a high-volume, fault-tolerant observability platform. Architect and develop OpenTelemetry-based systems, implement services in Go (concurrency/gRPC), work with ClickHouse/Postgres, Kafka/Redis streaming, and containerized deployments on Kubernetes/Docker. Evaluate new tools and improve platform reliability and performance.

Designs and implements Go-based control-plane software for custom AI inference hardware. Responsibilities span system management APIs, Linux services, hardware interfaces, diagnostics, observability, security, firmware updates, distributed systems, and workload management. The role requires hands-on debugging across application, operating system, firmware, and hardware boundaries, plus technical leadership, mentoring, architecture, and production ownership. Regular on-site lab work includes server racking, system bring-up, hardware troubleshooting, and documentation.

Build and ship fully native iOS and Android applications using Swift/SwiftUI and Kotlin/Jetpack Compose. Own mobile architecture, CI/CD, release infrastructure, enterprise authentication, managed-device support, security controls, OS integrations, and auditability. Deliver features including search, AI assistants, agents, notifications, widgets, and voice modes while ensuring accessibility, performance, offline behavior, and enterprise readiness. Establish AI-assisted development workflows and represent mobile in security reviews.

Lead and grow an AI-first software development team focused on clinic activation and onboarding. The manager will remain hands-on through architecture reviews, pairing, code shipping, and technical direction. They will partner with product, design, and data to run weekly releases, instrumentation, and experiments, while shaping AI-driven onboarding and responsible AI adoption. The role also requires coaching developers, owning activation outcomes, and partnering with adjacent AI and product 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.