Find remote programming jobs in Frontend, Backend, DevOps, QA, or as a FullStack or Data engineer. We curate the best remote software development jobs to match your area of expertise. Software Developers design, specify, create, and maintain web and native apps. Remote Software Engineer jobs where people telecommute (work remotely) are on the rise and we can help you to stay ahead of the curve.
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Lead cloud infrastructure design and migration efforts on AWS while developing scalable Django-based applications. Act as a technical advisor to stakeholders and mentor junior engineers while championing engineering best practices.
The Systems Engineer will support the sales organization by assessing customer IT business goals and developing tailored solutions using the Fortinet portfolio. They are responsible for providing expert technical guidance, delivering compelling presentations, and ensuring ongoing customer success and growth.
The Field Application Engineer serves as the primary technical interface, providing pre-sales and post-sales support to customers for MPS products. They are responsible for driving design-in activities, resolving complex technical issues, and collaborating with R&D to optimize system performance.
You will serve as the primary technical architect for large-scale AI and HPC customer initiatives, designing state-of-the-art NVIDIA GPU clusters. You will also lead technical engagements, translate complex requirements into production-ready designs, and oversee Proof-of-Concept deployments.
The Application Engineer will provide high-level technical support, demonstrations, and training for X-Rite color management solutions across Iberia. They will collaborate with Sales, R&D, and customers to optimize workflows and ensure effective product implementation.
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You will write deeply technical content to educate developers on APIs, integrations, and AI infrastructure while building prototypes to support your work. You will also shape the company's technical narrative and vision alongside the founders and engineering team.
You will source, verify, and upload public, legally usable PDF documents in specific languages to support AI training. Additionally, you will provide basic metadata for each submission to ensure it meets project quality and licensing standards.
You will lead and architect product-integrated incident response strategies with a focus on AI and LLM security threats. This includes developing detection and remediation playbooks while partnering with engineering teams to secure AI product pipelines.
Design, implement, and maintain highly available database solutions while leading automation and migration initiatives. Collaborate with cross-functional teams to ensure data integrity, security, and performance optimization across enterprise environments.
The Senior Channel Solutions Engineer will serve as the primary technical advisor for managed service partners, facilitating the onboarding, operationalization, and scaling of the Trend Vision One platform. This role involves aligning platform capabilities with partner service models, supporting detection engineering, and driving long-term technical advocacy within the managed security ecosystem.
The Track Engineer will plan, design, and support the construction and maintenance of track systems for Light Rail Transit projects. This role involves coordinating with multidisciplinary teams to ensure infrastructure integration, conducting site inspections, and overseeing track readiness for testing and commissioning.
The Senior Backend DevOps Engineer will operate and optimize containerized microservices within AWS ECS for the JLV program. They are responsible for designing CI/CD pipelines, maintaining infrastructure as code, and ensuring high availability and security compliance.
Develop and maintain comprehensive test plans and automated test suites for AI-powered clinical patient summarization capabilities. Collaborate with cross-functional teams to validate clinical data accuracy, ensure traceability, and support CI/CD pipelines within a federal healthcare environment.
The AI Workforce Enablement Lead will design and implement enablement programs to support enterprise AI transformation and drive genuine behavior change. This role involves partnering with HR and technology teams to translate redesigned workflows into clear role expectations and practical manager resources.
The role involves leading a team of analysts to deliver scalable Workday reporting solutions while consulting with HR stakeholders to meet business needs. Additionally, the manager will oversee the implementation of a third-party people analytics platform and drive continuous improvement in reporting practices.
Design and build scalable, distributed solutions to support continuous integration processes for OpenShift-native tooling. Maintain development, staging, and production environments while troubleshooting escalated issues and mentoring other engineers.
The role leads coordinated strategic planning and integration across core engineering platforms to ensure cohesion across distributed product teams. It also involves curating executive narratives regarding strategy, progress, and impact for board-level discussions and operational reviews.
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The Workday System Architect designs, implements, and optimizes architecture strategies to meet enterprise business needs. They provide strategic consultation, lead complex system designs, and oversee change management processes to ensure business solutions are effective and scalable.
You will lead the end-to-end architecture design of AI Data Center Networks, high-performance Data Center Interconnects, and global backbone networks. Additionally, you will collaborate with engineering teams to implement and optimize hyperscale cluster network standards and configurations.
You will own the architecture and development of the Salesforce platform with a focus on CPQ, Billing, and AI-driven solutions. You will partner with cross-functional teams to translate business problems into scalable technical solutions using Python, Azure, and Salesforce.
Lead teams in building and modernizing applications while remaining hands-on with coding, architecture, and troubleshooting. Establish technical direction and mentor developers in the responsible and effective use of AI-assisted development tools.
The Field Service Engineer 1 is responsible for performing accurate preventative maintenance and equipment repairs while driving customer satisfaction. They will work with experienced engineers to learn installation techniques and manage administrative service records.
Drive growth strategies for semiconductor applications and serve as the primary technical sales leader for strategic accounts. Collaborate with engineering and product management to provide material solutions and gather customer insights to influence future product development.
The Sales Engineer will lead the growth strategy for the aerospace market by identifying new business opportunities and managing strategic customer relationships. They will serve as the technical leader, providing expert material guidance and collaborating with internal teams to drive commercial excellence.
The Lead Cost Manager will develop detailed cost plans, manage the post-contract process, and provide high-level cost advice to clients. They are responsible for overseeing pre-contract processes, performing bid evaluations, and reporting on financial impacts to senior leadership.
You will own the full-stack design and engineering of human-facing AI agent interfaces, ensuring they are legible, trustworthy, and production-ready. You will also define interaction patterns and observability standards that allow humans to monitor and intervene in autonomous agent workflows.
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The Sr. AI Engineer will design and implement advanced AI systems to enhance instrument intelligence and lab automation across Life Sciences and Diagnostics sectors. They will lead complex AI projects and collaborate with cross-functional teams to translate product concepts into scalable AI architectures.
The Senior Director defines the architectural blueprint and enterprise patterns to scale autonomous and AI-enabled laboratory systems across Danaher. They are responsible for governing technology standards and ensuring interoperability across complex, mixed-vendor scientific ecosystems.
The Principal Databricks Architect will define and scale the global data science and AI platform, establishing reference architectures and governance frameworks. They will partner with data science teams to build self-service capabilities and ensure seamless interoperability between Databricks and enterprise data platforms.
Define and lead the UX engineering strategy across Reddit Ads while building high-quality prototypes to validate product directions. Partner with cross-functional teams to create reusable systems and tools that improve interaction quality and development efficiency.
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