Top Senior Level Jobs in Albuquerque, NM

Build and scale backend-focused systems supporting truckload freight operations, including high-volume carrier quotes, automated transactions, distributed services, and APIs. Design scalable data models and architectures, contribute across the React and TypeScript stack, make key technical decisions, mentor engineers, and collaborate with product leadership. The role also involves developing AI-powered logistics tools and maintaining reliable, secure infrastructure on Kubernetes and GCP.

Architect, build, and scale Parade’s foundational platform infrastructure supporting high-volume logistics transactions and AI systems. Own Kubernetes, cloud, Terraform, CI/CD, observability, networking, security, and distributed asynchronous workloads. Partner with engineering, product, and data teams to improve reliability, scalability, automation, and developer velocity across a fully remote organization.

The Senior Fullstack Software Engineer will design, implement, and maintain features for Conveyor's SaaS platform, involving both backend and frontend work, while collaborating closely with team members and mentoring juniors.

Design, build, and maintain AI-powered B2B SaaS products across frontend, backend, and AI. Own projects end-to-end, collaborate with product and design, ensure maintainability, mentor teammates, and inform roadmap and implementation decisions.

Designs and supports enterprise data integrations, ETL/ELT pipelines, APIs, data models, and transformations across Microsoft platforms. Maintains data quality, governance, security, and reliability while developing CI/CD pipelines, deployment automation, and release processes. Troubleshoots integration and deployment issues, manages environments, supports reporting and analytics, and collaborates with technical and business stakeholders to deliver scalable data solutions.

Own and expand a Three.js-based in-browser solar configurator, build and optimize 3D geometry and design workflows, implement frontend product features, collaborate with backend and computational teams, and ensure performant, stable, and intuitive 3D UX.

Lead architecture and implementation of autonomous inbound/outbound AI agents, build scalable LLM ops and signal-intelligence data pipelines, integrate identity resolution and third-party CRM systems, and maintain production-ready, well-documented systems for Series B diligence.

Build and own the technical roadmap: design AI-first interfaces and APIs, architect scalable ETL pipelines, develop data models for ML features, ship autonomous B2B workflows (PO generation, vendor sync, schedule optimizations), and establish engineering standards, CI/CD, and mentoring.

Write direct-response video ad copy, including hooks, on-screen headers, and full scripts for e-commerce and direct-to-consumer brands. Develop variations of winning concepts using performance data, collaborate with strategists, editors, and account leads, incorporate feedback quickly, and manage multiple briefs, clients, and deadlines. The role requires adaptable writing across industries and audiences, with a focus on measurable advertising performance.

Designs and delivers analytics solutions on Snowflake using dbt, SQL, and modern ELT practices. Responsibilities include data modeling, pipeline development, migrations, performance optimization, data quality, security, orchestration, CI/CD, and release management. Leads discovery and requirements gathering, translates business needs into analytics architectures, provides technical guidance, and communicates recommendations to client stakeholders in agile consulting environments.

Lead ArboStar's paid media and PR strategy to drive high-quality B2B SaaS lead generation. Manage PPC campaigns and budgets, mentor PPC specialists, optimize funnels (MQL→SQL) through CRO and A/B testing, coordinate with Sales/Product/Ops, run PR/partnerships, and deliver analytics and ROI-focused reporting.

Lead customer-facing HPC deployments and serve as the escalation point for complex hardware, operating system, application, and compiler issues. Deploy and debug GPU-accelerated Kubernetes clusters across on-premises and cloud environments, using Python, C#/.NET, CUDA, and ROCm. Diagnose issues involving NVIDIA and AMD GPUs, high-speed interconnects, PCIe topology, and driver stacks. Create technical documentation, reproduce customer failures, and collaborate with engineering and R&D on bug reports and product improvements.

Develop compiler and high-performance computing solutions that translate .NET and Java bytecode into optimized CUDA and ROCm code for CPUs and GPUs. Analyze customer algorithms, design parallel implementations, extend compilation infrastructure, build reusable libraries, and optimize throughput and latency. Apply expertise in GPU programming, compiler architecture, mathematics, and software engineering to deliver performance matching or exceeding hand-tuned binaries.