Top Remote Software Engineer Jobs

Develop production quantitative software for Man Systematic in partnership with quantitative researchers and portfolio managers. Responsibilities include onboarding datasets, implementing trading signals, building portfolio optimization and visualization tools, enhancing research platforms, and optimizing code using numerical algorithms and distributed computing. The role requires Python and scientific-stack expertise, large-scale data experience, production engineering practices, Linux, Git, databases, and collaboration across investment and technology teams.

Build and support full-stack applications, APIs, integrations, and AI agent workflows for federal and national security partners. Develop accessible interfaces, backend services, authentication, audit logging, data models, testing, and deployment capabilities across cloud, private-network, and on-premises environments. Diagnose production issues, support releases, document solutions, collaborate with partner and platform teams, and mentor engineers. The role also requires adapting applications to federal security and delivery requirements.

Own full-stack engineering for a private-beta community platform, covering architecture, database design, development, testing, deployment, monitoring, security, and production support. Lead technical delivery, coordinate priorities across departments, review external engineering work, and support integrations. Use AI coding agents responsibly while maintaining code quality and technical judgment. Contribute to scalable backend architecture, LLM integrations, RAG, and AI agents.

Leads architecture and development of complex backend services for a commercial health plan platform. Designs .NET Core and Azure systems, develops claims, eligibility, and benefits functionality, manages healthcare data integrations, and owns cloud infrastructure and CI/CD architecture. Provides technical leadership through code reviews, testing standards, mentoring, and architecture decisions while ensuring performance, reliability, security, and regulatory compliance.

Lead development of robust, deterministic, and scalable simulation software for safety-critical autonomous aviation systems. Responsibilities include improving framework performance, flight dynamics modeling, hardware emulation, simulation-based testing, reproducibility, and distributed real-time architecture. Collaborate with flight software, guidance, navigation, control, and hardware test teams; support hardware-in-the-loop, high-fidelity physics, and cloud-based Monte Carlo infrastructure. Evaluate technical decisions, lead projects, and mentor engineers.

Supports implementation and technical support for EMR interfaces that automate electronic orders and results. Leads development, testing, troubleshooting, deployment, and documentation of interoperability solutions between the company and external healthcare providers. Assesses data sources, scopes projects, performs data transformations, administers Mirth interfaces, writes SQL queries, supports production systems, trains teammates, and communicates with clients.

Supports complex IBM Z security conversion and migration engagements by analyzing customer environments, executing conversions, troubleshooting failed jobs, and maintaining conversion tools. Develops and modifies REXX code, works with z/OS security managers and mainframe technologies, investigates access controls and security definitions, and collaborates with customers and technical teams. The role also contributes to engineering practices, source control, testing, documentation, and responsible use of AI-assisted tools.

Develop and support scalable Python services, APIs, and event-driven systems for digital freight pricing and booking. Build experimentation frameworks, AI-assisted pricing harnesses, validation guardrails, real-time platforms, and machine-learning integrations. Lead architecture decisions, ensure security and reliability, mentor engineers, and collaborate across product, operations, revenue management, data science, and engineering teams.

Own the architecture and technical direction for Mirantis’s Enterprise AI platform, spanning AI gateways, Kubernetes-based model serving, control planes, identity, metering, and observability. Lead gateway and LLM infrastructure strategy, enterprise installation and security design, architecture reviews, and build-versus-buy decisions. Develop critical-path software, mentor senior engineers, collaborate with customers and design partners, and represent Mirantis in Kubernetes and ML-infrastructure communities.

The Workday Integrations Consultant will implement Workday solutions, gather requirements, and deliver integration technologies, while managing teams and participating in training.