Top Remote Software Engineer Jobs in Albuquerque, NM

Build and maintain full-stack features, data pipelines, and cloud infrastructure for large-scale ad management and analytics. Integrate with advertising platform APIs, apply ML/NLP for forecasting and recommendations, collaborate with product and marketing teams, and use AI coding tools to accelerate development.

Design, build, and maintain scalable backend services and APIs for millions of users. Collaborate with product and UX, implement automated testing, participate in on-call incident management, and mentor teammates while delivering complex distributed-system projects.

Own and evolve the AWS and Kubernetes platform, build Terraform modules, Helm charts, and GitHub Actions workflows, enhance platform capabilities with Go/Python, implement monitoring and runbooks, ensure secure CI/CD and data segregation, and support Node.js/React/Next.js engineering teams.

Design, build, and maintain scalable data pipelines and ingestion agents for fleet robotics. Define efficient data formats/protocols, implement observability and big-data processing (Spark/Kafka), and build cloud tools (S3, Athena, SageMaker) for analytics, IoT integration, and long-horizon forecasting to improve robot performance and operational insights.

Maintain and extend long-term supported forks of major JavaScript frameworks. Develop and secure code in JavaScript/TypeScript, backport fixes, triage and patch CVEs, build CI/CD and automation, collaborate with security and OSS contributors, and drive platform reliability and architecture decisions.

Design, build, and scale GraphQL APIs, low-latency gRPC services, and SQL-backed wagering flows for online casino products. Own complex technical problems end-to-end, improve production performance and observability (DataDog), mentor engineers, and deliver integrations with game providers while operating services on Kubernetes and participating in on-call rotations.

Lead design and implementation of scalable APIs and agent communication layers for an AI-agent driven advertising marketplace. Build high-throughput backend systems, integrate agent frameworks and adtech partners, drive architecture for authentication and protocols, mentor engineers, and prototype agent communication patterns while collaborating with product and design.

Build and own end-to-end, production-grade full‑stack features across backend, frontend, data pipelines, and infrastructure. Collaborate with stakeholders to translate business problems into shipped software, drive cross-team initiatives, and improve tooling and code quality. Use AI coding tools daily to accelerate development and maintain reliability for customer-facing products.

Lead end-to-end design, development, and quality of enterprise cloud solutions. Estimate costs, define quality criteria, implement complex systems, manage engineering processes, risks, and dependencies, and mentor teams. Serve as technical lead across large, cross-functional projects to deliver measurable, user-centric healthcare technology solutions.

Lead architecture and implement core backend services and data models that manage account state, eligibility, and entitlements at scale. Collaborate with product, design, Payments/Wallet, and identity teams to ensure correctness, reliability, and extensibility. Drive cross-team architecture decisions, mentor engineers, run design reviews, and proactively identify and mitigate scalability, reliability, and data-integrity risks.

Lead technical strategy and execution for build, test, release, and deployment systems. Drive initiatives to improve developer productivity, deployment safety, and platform reliability. Coordinate cross-team projects and migrations, contribute high-impact code, coach engineers, and lead incident response and resilience improvements for shared engineering systems.

Lead frontend technical direction for the Trellis design system: design and build a production component library, define accessibility and theming models, create tooling and migration pipelines (codemods, refactoring automation), leverage AI coding agents, mentor senior engineers, and partner with PM/UX to drive frontend architecture and adoption across product teams.

Design, implement, and optimize Elasticsearch core storage and query engine components for observability workloads. Drive architectural improvements, resolve performance bottlenecks in indexing and serialization, optimize data layouts for object storage, lead cross-organizational initiatives, mentor engineers, triage community issues, and write idiomatic modern Java in a distributed team.

Drive architecture and technical vision for Elasticsearch core storage and query engine. Lead performance and storage-efficiency improvements, design indexing/serialization/data layouts, mentor engineers, coordinate cross-organizational initiatives, triage community issues, and write idiomatic modern Java for logs and metrics workloads.

Build and maintain the GG App across Windows, macOS, and iOS including installers, background services, auto-update systems, enterprise deployment paths, health reporting, AWS backend, and documentation. Lead architecture decisions, mentor engineers, participate in on-call support, and champion AI adoption and automation across engineering.

Lead and manage an API engineering team owning core services for Fundrise investor applications. Set technical direction, coach engineers, drive architecture, ensure production quality, security, monitoring, and coordinate cross-team delivery.

Lead and implement backend and developer-experience initiatives across Clojure and Go systems. Define architecture, build and operate distributed services, event pipelines, databases and APIs, improve observability and reliability, mentor senior engineers, and drive cross-team delivery from ambiguity to measurable outcomes while participating in on-call rotation.

Design, build, and operate high-performance, distributed .NET and TypeScript/React applications and cloud APIs. Implement microservices on AWS, automated testing, GitHub Actions CI/CD, observability with OpenTelemetry, and diagnose production issues to ensure scalable, reliable systems.

Own and improve Plane's automated test suite for web and desktop clients: design frameworks, cover hard-to-test scenarios (concurrency, offline/recovery, agent-driven nondeterminism), keep tests fast and reliable, run suites in CI, test cloud and self-hosted environments, and triage failures across teams and community PRs.

The Senior Platform Engineer will enhance internal tooling, optimize CI/CD pipelines, and ensure AWS infrastructure reliability and security while facilitating fast software development and deployment.

Join the engineering team as an entry-level developer to build small features, fix bugs, write tests, participate in code reviews, follow a mentored development plan, contribute documentation, and gradually own larger work as skills grow.

Senior backend engineer building secure, scalable microservice infrastructure. Translate product requirements into technical designs, implement high-availability services, design APIs and schemas, embed security across app/API/infrastructure layers, build observability (metrics, alerts, tracing), collaborate with product/design, and participate in hiring while working remotely.

Build and maintain platform systems that provision, secure, and observe isolated agent execution environments. Design reusable primitives for queues, jobs, locks, and service-bus mechanics. Extend Pulumi-based IaC, work with containers, Linux internals, storage, permissions, logging, and runtime debugging. Ship reliable, maintainable infrastructure-driven application code and collaborate in a small cross-functional team.

Lead design and delivery of scalable, reliable software using C#/.NET, SQL Server, React, and Azure. Own complex initiatives from design through operations, mentor engineers, improve CI/CD, observability, and apply DDD/TDD/VSA practices. Use modern APIs, microservices or modular monoliths, and AI-assisted tooling to improve delivery.

Design, build, and maintain scalable backend services and APIs; deliver product features end-to-end; maintain integrations; diagnose and resolve performance and reliability issues; improve engineering practices and architecture; support large-scale data ingestion and unified data access layers.