Top Remote Software Engineer Jobs in Albuquerque, NM

Own and improve Glydways’ Bazel monorepo infrastructure across C++, Python, and Go. Responsibilities include implementing remote caching and remote build execution, optimizing build and test performance, maintaining toolchains and dependencies, supporting embedded cross-compilation, improving CI/CD workflows with AWS and Buildkite, developing developer automation, monitoring build health, and participating in on-call support.

Build full-stack applications for an AI-driven pipeline risk platform. Primary responsibilities include developing TypeScript and React interfaces, building TypeScript and Python APIs, designing asynchronous analytical workflows, integrating Databricks and Azure services, and enabling customer model deployment. The role also covers testing, security, performance optimization, database development, CI/CD, accessibility, API documentation, and collaboration with design, data science, product, QA, and engineering teams.

Develop and maintain integrations across modern .NET services and legacy .NET Framework applications. Build REST APIs, event-driven services, shared libraries, and synchronous or asynchronous workflows. Own work through testing, deployment, production support, and on-call rotations. Contribute to API standards, platform architecture, documentation, code reviews, and onboarding. Use AI-assisted coding tools daily across development, testing, reviews, and documentation.

Build and maintain full-stack software using TypeScript, Go, and Python, including backend, frontend, and architectural development. Collaborate with developers, designers, product managers, and Department of Defense stakeholders to develop AI-powered solutions, take products from concept to launch, conduct code reviews, and support customers through travel when needed.

Lead architecture and development of significant backend platform features from concept through release. Design scalable distributed systems, write technical proposals, assess business impacts, and ensure dependable performance. Use AI coding assistants while validating code quality and safety, coach engineers, shape the technical roadmap, and collaborate with product and cross-functional teams. The role requires expert Node.js and TypeScript skills, experience with message queues, and ownership of substantial product areas.

Build and scale AI-native healthcare products through full-stack applications, backend services, data pipelines, and AI systems. Design, test, deploy, and operate production-ready software, run A/B tests, automate manual workflows, and collaborate with product, operations, and AI/ML teams. The role requires end-to-end ownership of scalable, secure, reliable systems and features, with a focus on performance, data integrity, clean code, and measurable business outcomes.

Build and operate scalable data pipelines, backend services, APIs, and infrastructure powering AI-driven healthcare applications. Design distributed data systems, ETL workflows, streaming platforms, and cloud-native architectures while partnering with AI, machine learning, and product teams. Own production reliability, observability, security, automation, and on-call support for business-critical systems.

Design, build, and scale secure full-stack healthcare systems using TypeScript, React, Node.js, PostgreSQL, and AWS. Develop APIs, event-driven services, integrations with health systems, clinical data pipelines, and LLM-powered features. Own functionality from design through rollout, write tests and architecture documentation, review code, collaborate with product and clinical teams, troubleshoot production issues, and participate in on-call support.

Design, develop, test, and maintain scalable platform software and services. Collaborate with architecture and cross-functional teams, implement platform features, participate in code reviews, document technical specifications, troubleshoot issues, and optimize performance and scalability. The role requires Go development, scripting, Kubernetes, cloud-native technologies, containerization, cloud networking, and CI/CD experience.

Investigates customer escalations, performs root-cause analysis across complex Java codebases, and delivers production-ready fixes. Uses AI-assisted tools for log analysis, defect diagnosis, code remediation, test generation, and validation. Communicates issue status, documents resolutions, maintains knowledge content, supports teammates, and contributes to product enhancements. The role includes periodic after-hours and weekend pager coverage.

Develops, enhances, tests, debugs, deploys, and supports enterprise mainframe applications using COBOL, IDMS, DB2, and related technologies. Troubleshoots production issues, collaborates with end users to define requirements, ensures performance and security, applies Agile practices, and mentors junior developers. The role supports remote personnel serving a Kansas City, Kansas customer and requires the ability to obtain and maintain Public Trust clearance.

Build and maintain secure, scalable backend systems for Mindbody products. Design microservices, write tested and maintainable code, monitor applications, participate in reviews, and collaborate with Product, Design, QA, and Engineering teams. The description also includes leadership responsibilities such as managing backend development teams, coaching managers and engineers, establishing delivery processes, and driving technical and organizational improvement.

Build and maintain Python services, REST APIs, batch jobs, shared libraries, claims workflows, and internal applications. Develop maintainable, unit-tested code; write SQL for MySQL databases; participate in design, code review, deployment, and production support; and collaborate across departments. The role also involves handling sensitive healthcare data, using AI-assisted development tools responsibly, and working in a regulated pharmacy benefits domain.

The Software Engineer - AI Systems will design and implement systems to coordinate LLMs, build testable software stacks, conduct research, and collaborate with team members to create AI-powered security solutions.

Build and operate full-stack systems for an AI-powered offensive security platform. Responsibilities include developing React frontends, TypeScript APIs, Kotlin and Go backend services, deploying on AWS, designing scalable systems, optimizing databases, supporting production, and owning features from concept through deployment. The role involves close collaboration with AI and security researchers in a fast-paced remote startup.

Design, build, and operate foundational developer infrastructure across CI, build systems, deployment orchestration, and test platforms. Improve build speed, deployment safety, and test reliability while owning services end to end, including SLOs, observability, and on-call responsibilities. Partner with engineering teams to address platform pain points and lead cross-cutting technical projects through production.

Leads technical strategy and architecture for a scalable advertising platform supporting video, server-side advertising, connected TV, programmatic advertising, and new ad formats. Designs distributed systems, evaluates ad technologies, improves reliability and observability, partners across engineering and product teams, mentors engineers, and guides long-term technical investments and roadmaps.

Lead architecture and roadmap for Azure PostgreSQL systems; design and review scalable, maintainable database engine features (query processing, storage, transaction logging, recovery, versioning, IO, scale-out). Influence coding standards and run code reviews, write proof-of-concept or production code, contribute to open-source PostgreSQL/Linux, and participate in rotational on-call operations.

Develop scalable test automation frameworks, QA tools, and intelligent testing systems using Playwright, C#, and JavaScript/TypeScript. Integrate automated testing into CI/CD pipelines, build end-to-end, integration, and performance solutions, and apply AI techniques to improve test generation and defect detection. Partner with engineering and QA teams, troubleshoot reliability issues, contribute to test strategy, and mentor colleagues on automation and modern testing practices.

Build and operate highly scalable Go backend services and data infrastructure for the AT Protocol ecosystem. Scale systems to support hundreds of millions of users, hundreds of millions of events, petabytes of NVMe storage, thousands of CPU cores, and tens of terabytes of RAM. Responsibilities include developing mission-critical services, managing production operations, and working with databases, distributed systems, operating systems, networking, and storage technologies.

Build and lead architecture for ServiceTitan’s AI-native developer platform, including coding-agent runtimes, orchestration layers, harnesses, build systems, CI/CD, developer portals, safety guardrails, and compliance infrastructure. Deliver production-scale platform projects autonomously, influence engineering direction across teams, anticipate long-term technology needs, establish reusable engineering patterns, and mentor senior engineers.

Build and own AI-enabled developer experience infrastructure, including agent orchestration, coding-agent runtimes, cloud development environments, CI/CD and build systems, developer portals, and automated compliance guardrails. Make architectural decisions, write production code, lead large platform initiatives, mentor engineers, own major platform components, and partner with engineering leadership on multi-quarter delivery strategy.

Lead the technical direction of Carrum Health’s billing and payments platform. Centralize pricing, define billing service boundaries and data models, and build reliable systems for invoicing, provider payments, and financial reporting. Partner with Product, Finance, Operations, and Data on cross-team initiatives, write architectural documentation, mentor engineers, and ensure financial correctness, observability, auditability, and safe rollbacks. Work primarily with Ruby on Rails, React, PostgreSQL, Docker, and AWS in a remote-first startup environment.

Staff Software Engineer responsible for designing scalable distributed systems and full-stack web applications supporting provider acquisition, onboarding, and marketplace supply growth. The role leads cross-team technical initiatives, shapes engineering strategy, mentors developers, and delivers provider-facing products from discovery through post-launch support. Experience with AI-assisted development workflows and technologies such as Node.js, React, TypeScript, Kafka, AWS, Docker, and Kubernetes is valued.

Architects scalable distributed systems and low-level cloud platform services, establishes engineering standards and SLOs, designs CI/CD and deployment safety pipelines, leads complex incident escalations and postmortems, and mentors engineering teams. The role requires full-stack, API, and microservices development in Linux or Unix environments, strong SRE expertise, architectural leadership, and US citizenship with eligibility for security clearance.