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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The Network Engineer will manage the transition from a legacy Juniper MPLS infrastructure to a modern, zero-trust cloud-based network architecture. This role involves hands-on troubleshooting, migration planning, and coordinating cutover activities with various stakeholders to ensure service continuity.
You will analyze customer requirements and develop complex software systems while implementing automation processes and cloud infrastructure. Additionally, you will be responsible for integrating AI components and providing consulting on automated test environments.
The System Administrator will own the day-to-day health of a hybrid infrastructure environment, including server maintenance, cloud services, and identity management. They will also provide second-level technical support, manage IT assets, and ensure system security and compliance.
The Principal Engineer will serve as a technical expert to develop optimized automation and control system solutions for capital investment projects. They will provide technical leadership, drive innovation, and collaborate with cross-functional teams to ensure operational effectiveness and reliability across manufacturing facilities.
The Field Service Engineer 1 performs preventative maintenance, equipment installation, and troubleshooting on designated medical equipment. They are responsible for driving customer satisfaction, managing service records, and identifying potential sales opportunities.
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The Sr. AI Engineer will design and implement advanced AI systems to enhance device intelligence and lab automation across life sciences and diagnostics. 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 labs across Danaher. They govern technology standards and ensure interoperability across scientific instruments, robotics, and AI-enabled software platforms.
You will design, build, and own the GTM infrastructure, including forecasting engines, deal desk processes, and AI-driven signal intelligence. You will also manage cross-functional projects and ensure data integrity across the organization's sales systems.
The Senior Systems Engineer will design, implement, and support critical infrastructure systems while mentoring less experienced staff. They are responsible for diagnosing system issues, automating workflows, and ensuring compliance across development and production environments.
The architect will own technical decisions for agent and conversational-AI solutions, determining the optimal balance between low-code Power Platform tools and custom Azure development. They will design enterprise-grade system architectures, establish governance models, and provide technical oversight to delivery teams.
You will design, develop, and support innovative software solutions while collaborating with cross-functional teams to meet business-critical initiatives. The role involves leveraging generative AI tools to accelerate development and ensuring the scalability and quality of distributed systems and web applications.
The Business Analyst collaborates with clients to perform needs assessments and cost/benefit analyses to align business initiatives with technology solutions. They are responsible for gathering requirements, creating user stories, facilitating Agile ceremonies, and coordinating user acceptance testing.
You will architect and develop certificate lifecycle management capabilities, including discovery, issuance, and rotation across complex enterprise environments. You will also provide technical leadership on PKI architecture and collaborate with cross-functional teams to build secure, scalable automation workflows.
Design and maintain automated test frameworks for AWS infrastructure, infrastructure-as-code, and deployment workflows. Collaborate with DevOps, Platform Engineering, and Security teams to validate infrastructure changes and ensure compliance before production release.
The Principal Customer Success Engineer will lead strategic relationships with major customers, guiding them through data security programs and value realization. This role involves orchestrating cross-functional teams and acting as a trusted advisor to executive stakeholders like CISOs and CIOs.
Collaborate with stakeholders to convert business requirements into high-quality services with meaningful tests and documentation. Proactively manage performance tuning, troubleshoot incidents, and mentor junior team members.
You will design, develop, and maintain scalable software applications using Elixir and Python to power a healthcare imaging data platform. Additionally, you will provide technical leadership by mentoring engineers and driving long-term platform strategy.
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You will optimize documentation and context for AI-generated tickets to ensure engineering pods have clear, actionable requirements. Additionally, you will perform data analysis using SQL to track product performance and build prototypes to communicate complex ideas effectively.
The Technical Product Manager will own the end-to-end planning of the AI inference software stack, translating model advancements into actionable engineering requirements. They will serve as the primary bridge between engineering, go-to-market teams, and ecosystem partners to ensure a competitive and well-documented product roadmap.
The Senior Infrastructure Sales Manager will develop and execute sales strategies to grow outdoor infrastructure lighting and controls market share with departments of transportation and utilities. The role involves maintaining key relationships with specifying influences, managing agency performance, and providing technical product support.
The roles involve architecting and building full-stack web platforms for solar fintech and carpooling, as well as designing and prototyping indoor painting robotics. You will be responsible for the entire development lifecycle from initial concept to deployment and iteration.
You will design and implement data integration pipelines to connect complex EHR systems with the Bayesian platform to provide real-time clinical insights. Additionally, you will manage production deployments, troubleshoot data issues, and develop automation tooling to improve integration efficiency.
You will build and configure full-stack integrations between the Bayesian platform and complex Electronic Health Record (EHR) systems to deliver real-time clinical insights. Additionally, you will lead deployment processes, perform integration testing, and develop automation tooling to improve engineering efficiency.
The Senior Site Reliability Engineer will manage AWS infrastructure, databases, and backup systems while ensuring platform scalability and security. They will also lead production monitoring, incident response, and the maintenance of infrastructure as code.
The Senior Principal Engineer will lead complex load and generation interconnection studies while mentoring a team of engineers to ensure high-quality project delivery. They will also serve as a trusted advisor to developers, translating technical issues into actionable insights to navigate the ERCOT interconnection landscape.
The Senior Support Engineer serves as a technical advisor and subject matter expert for Blue Yonder Execution solutions, managing complex customer escalations and incidents. They also collaborate with engineering teams to drive product improvements while mentoring junior staff and creating knowledge base documentation.
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You will lead the migration of the data platform to a Databricks lakehouse and design robust ELT pipelines to ensure reliable, analytics-ready datasets. Additionally, you will mentor other engineers, establish technical standards, and partner with stakeholders to deliver meaningful platform improvements.
The Enterprise Intelligence Solutions Engineer designs, develops, and supports scalable enterprise intelligence products, cloud data platforms, and AI-enabled applications. This role manages the complete solution lifecycle, from business discovery and architecture to deployment and operational support.
You will serve as the technical lead for pre-sales engagements, managing the entire process from initial conversations through Proof of Concepts to deal closure. Additionally, you will partner with account managers to articulate the platform's value proposition and provide critical field feedback to the product management team.
You will build the foundation of the company's go-to-market engine by designing and implementing CRM architecture, data infrastructure, and lead generation automations. You will also partner with Sales to define and enforce lead qualification logic to ensure a consistent, high-quality pipeline.
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