Top Software Engineer Jobs in Albuquerque, NM

The Senior Infrastructure Tooling Software Engineer will work on projects critical to Cloudflare's success, focusing on agile delivery of tools and systems for infrastructure management, including automation and capacity monitoring tools. The role requires debugging skills, API design experience, and a growth-oriented mindset in a fast-paced environment.

The Infrastructure Tooling Software Engineer will work on critical projects for Cloudflare's Resiliency Engineering team, developing tools for managing infrastructure and ensuring system functionality at scale. The role involves automating processes, managing IP addresses, and enhancing capacity dashboard functionality, with a focus on agile development.

The Territory Solutions Engineer is responsible for the technical aspect of sales at Cloudflare, working closely with enterprise clients to ensure solution design, adoption, and customer success. This role involves educating customers, driving sales opportunities, and collaborating with various teams within Cloudflare, while utilizing technical knowledge in internet technologies and scripting languages.

As an Infrastructure Engineer III, you will ensure the seamless operation of mission-critical systems by deploying and managing infrastructure, utilizing various hardware architectures and operating systems, automating tasks, and tuning storage protocols. You will diagnose and resolve incidents, enhance resilience, and support software development through effective lifecycle management and infrastructure monitoring.

As a Software Engineer III at CrowdStrike, you will develop detection strategies for Windows OS vulnerabilities, collaborate on enhancing sensor capabilities, and contribute to research on exploiting detection tools. Your role involves coding practices in both user-mode and kernel-mode to identify malicious behaviors in endpoint devices.

As a Senior Software Development Performance Engineer, you will create and refine tools to enhance CrowdStrike's cloud-based infrastructure. You'll engage in designing software solutions, collaborating with peers, optimizing back-end performance, and leading technical initiatives across teams, while ensuring streamlined development processes.

As a Senior Data Engineer at PatientIQ, you'll clean and process large datasets using SQL and Python, develop and maintain ETL processes, design scalable data pipelines, and work collaboratively with data analysts to optimize and integrate data for healthcare insights.

Develop and implement new ad formats for web-based rendering, collaborate with teams on new features, enhance automated testing, mentor junior engineers, and ensure system reliability and efficiency for ad serving.

As a Machine Learning Engineer, you will design, build, and iterate on large-scale Machine Learning systems, working closely with cross-functional teams to personalize user experiences at Dropbox. Your role will impact millions of users and involve evaluating the performance of ML systems against business objectives.

As a Senior Machine Learning Engineer, you will design, build, evaluate, and iterate on large scale machine learning systems, collaborating with cross-functional teams to enhance user experiences at Dropbox. Your work will directly impact the product and its millions of users, utilizing cutting-edge AI/ML advancements.

In this role, you will design and build software for Dropbox's sync engine that serves millions of users. You'll collaborate with product managers to understand user needs, implement features, and participate in code reviews and mentorship to enhance team culture.

Lead a high-performing team to build graphs of data about Enterprise customers. Collaborate with various teams to develop systems using cutting-edge technologies like LLMs and graph databases. Drive the development of a knowledge graph integrated with analysis and ranking systems while ensuring responsible data usage.

The Integration System Engineer II is responsible for maintenance and configuration of integration endpoints for ERP systems, focusing on post implementation support and ensuring data accuracy. They troubleshoot connectivity issues, offer technical solutions, manage escalations, and collaborate with project teams and customers.