Top Software Engineer Jobs in Albuquerque, NM

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 architecture and development of high-scale systems for ingesting, processing, storing, and serving user profiles. Drive cross-team initiatives across APIs, streaming infrastructure, and data processing. Improve scalability, reliability, data quality, observability, and performance while mentoring engineers and partnering with product, data, and ML teams to enable segmentation, personalization, and ML use cases.

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.

Design, build, and maintain CI/CD pipelines, deployment tooling, and release systems. Improve build/deploy speed, troubleshoot failures, partner with product teams, and coach engineers to reduce delivery friction.

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.

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 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, build, and operate managed compute primitives for Temporal Cloud: autoscaling, multi-tenant safety, multi-cloud integrations, secure cross-account execution, observability (SLOs, tracing/metrics), and ship end-to-end APIs with strong operational ownership and mentorship.

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.

Design, build, and own operator services that provision, repair, and manage bare-metal GPU servers. Implement secure, extensible code across firmware, imaging, DPU initialization, and network configuration. Operate and monitor GPU fleets at scale, serve on-call rotations to resolve incidents, and apply AI tools across the SDLC while driving automation, telemetry, and reliability improvements.

Lead design and delivery of cloud and AI production systems, partner with stakeholders to translate needs into architecture, ensure security and quality, mentor engineers, and drive customer adoption and scalable reusable solutions across engagements.

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.

Build and improve Fleet and Streams UI in Kibana using TypeScript, React, and Node.js. Own end-to-end features, lead architecture and design discussions, enforce coding standards and testing, conduct code reviews, and collaborate asynchronously with designers and product managers to deliver intuitive, scalable user interfaces for log and agent management.

Design, build, and maintain high-performance, distributed full-stack applications using C#/.NET and TypeScript/React. Implement microservices on AWS (DynamoDB, RDS, SQS, Lambda, API Gateway), automated testing, and GitHub Actions CI/CD. Troubleshoot production issues, optimize performance, and instrument observability (OpenTelemetry, tracing, metrics). Collaborate with product and engineering teams to deliver scalable, secure, multi-tenant solutions.

Lead end-to-end design, development, and delivery of enterprise-scale software. Architect scalable, fault-tolerant systems, drive DevOps/CI-CD, ensure testing and code quality, mentor engineers, collaborate with stakeholders, and manage project risks to deliver high-impact features.