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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Key responsibilities include designing, building, and shipping cutting-edge products and features quickly while driving continuous improvements in engineering processes, tools, and systems. Engineers will also collaborate across teams to solve problems, contribute to planning, and maintain/elevate the existing codebase by developing high-performance backend services.
The Project Engineer will execute complex technical projects across infrastructure, cloud, and end-user environments, including design, configuration, deployment, and post-implementation support. Key tasks involve leading client-facing initiatives like email migrations, network deployments, security implementations (SSO/MFA), and server upgrades.
This role focuses on CRM administration, serving as a subject-matter expert for JobNimbus, maintaining system integrity, and managing vendor onboarding, compliance, and performance monitoring. The administrator will also prepare operational reports and support system implementations across the organization.
The Staff AI Engineer will be responsible for architecting, building, and operationalizing production-grade multi-agent systems at scale to power advisor copilots and investment intelligence workflows. Key tasks involve designing and implementing these systems using modern agent frameworks, developing distributed services with strong observability, and establishing evaluation frameworks for accuracy and reliability.
The Customer Success Engineer will serve as the primary technical expert on the Cyera Platform, driving customer adoption through onboarding and training, and designing customized use cases based on client needs. They will proactively ensure customers maximize their return on investment, act as a leader for ongoing engagement, and advocate for customer feedback to influence the product roadmap.
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Responsibilities include supporting Project Managers, utilizing Excel for analysis and presentation, managing data accuracy in databases, and providing consistent project updates to stakeholders. The role involves coordinating initiatives, tracking costs, evaluating business processes, and gathering critical information from meetings.
This role serves as the primary marketing lead for the SELECT/Data Platform business unit, responsible for translating revenue goals into a unified quarterly go-to-market strategy and defining ICP segmentation. The manager will lead cross-functional execution for integrated campaigns covering paid search, LinkedIn targeting, content development, and demand generation programs aimed at driving awareness and pipeline.
The Field Service Engineer is responsible for supporting client needs by performing troubleshooting, installation, validation, preventative maintenance, modifications, and service repairs on Beckman Coulter equipment, including providing technical training to customers. This role also requires maintaining accurate service logs, ordering necessary repair parts, and adhering to cycle times.
The Mainframe Solution Architect translates business requirements into technical solutions for complex applications running on IBM Mainframe, including integrations with other platforms. They communicate Architecture and Enterprise standards, assist development teams in implementation, and play a key role in transitioning Mainframe workloads to platforms like Kubernetes.
The Director will define and own the Machine Learning strategy and technical roadmap, leading and growing the Machine Learning and FPT teams while establishing a culture of rigor and production-quality delivery. Key tasks include driving improvements to core computer vision models and building out MLOps infrastructure for model training, deployment, and monitoring.
The Principal ML Scientist will advance core computer vision model performance for warehouse inventory scanning across drone and MHE Vision platforms, owning the full ML lifecycle from research through production deployment and monitoring. This includes collaborating on model optimization for various inference targets and providing technical leadership and mentorship to the ML team.
The engineer will take ownership of meaningful product areas from initial concept through production, contributing across the full stack from user interfaces to backend services. Responsibilities include shipping quickly while maintaining correctness, upholding high standards for code quality and system design, and taking responsibility for production system reliability.
The primary focus is winning business by developing compelling, value-laden business solutions for clients and establishing deep technical relationships to drive new revenue and improve margins. This involves understanding client goals, identifying unrecognized business value opportunities, and leading cloud solution design, security, and migration efforts.
The engineer will be responsible for working on a well-known on-prem applications deployment platform, focusing on code optimization and complex architectures. This involves taking actionable steps from initial concepts to building state-of-the-art products alongside CTOs, Engineering, and Product professionals.
Professionals will design strategies for implementing Oracle Digital Core, linking business needs with technology, and advising clients on Oracle Supply Chain functionalities to optimize key processes. Responsibilities also include leading workshops to define business blueprints for SCM modules and assisting technical teams with configuration, testing, and post-implementation support.
The role involves client acquisition and growing Assets Under Management (AUM) by building relationships with individuals and families needing guidance in an AI-reshaped economy. Responsibilities also include developing personalized financial advisory strategies aligned with the AI resilience thesis and collaborating with the fund management team.
The role involves client acquisition and growing Assets Under Management (AUM) by building relationships with individuals and families needing guidance in an AI-reshaped economy. Responsibilities also include developing personalized financial advisory strategies aligned with the AI resilience thesis and collaborating with fund management.
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The role involves client acquisition and growing Assets Under Management (AUM) by building relationships with individuals and families needing guidance through AI-driven economic shifts. Responsibilities also include developing personalized financial advisory strategies aligned with the AI resilience thesis and collaborating with the fund management team.
The role involves client acquisition and growing Assets Under Management (AUM) by building relationships with individuals and families needing guidance through AI-driven economic shifts. Responsibilities also include developing personalized financial advisory strategies aligned with the AI resilience thesis and collaborating with the fund management team.
The role involves pioneering the agent experience by shaping how AI agents interact with Pinecone through designing interfaces, protocols (MCP), and tooling, while shipping end-to-end experiences across API, SDK, CLI, and web surfaces. Additionally, the engineer will build high-leverage systems that multiply team output through AI-powered workflows and automated quality gates, setting the standard for AI-assisted development.
This individual contributor is responsible for troubleshooting and resolving complex customer technical issues, primarily related to networking (Switching, Network Security), storage, and server software, with a strong focus on SONiC related problems. The role involves engaging with customers to understand topologies, review configurations, troubleshoot issues, and participating in pre-sales activities.
The role involves the testing and validation of Ethernovia’s software, requiring close collaboration with design and hardware validation teams to create, enhance, and execute test cases and plans. A major focus is placed on safety-critical automotive testing, automation, processing results, issue identification, documentation, and adherence to functional safety standards.
This role involves designing and implementing architectural solutions for performant, scalable billing platform systems, focusing on cloud integration, microservices, and target state architectural patterns. The engineer will also drive code reviews, mentor others, and optimize application performance across frontend and backend layers.
The Senior AWS Cloud Platform Engineer will be responsible for designing the platform upon which all other teams build, involving active platform product design with significant impact. Responsibilities include the development, further development, and operation of central platform services, building Golden Paths, CI/CD pipelines, and Compute Blueprints.
The role involves client acquisition and growing Assets Under Management (AUM) by building relationships with individuals and families needing guidance through AI-driven economic shifts. Responsibilities also include developing personalized financial advisory strategies aligned with the AI resilience thesis and collaborating with the fund management team.
The manager will build and run a new fund focused on investments resilient to AI disruption, political instability, and structural economic shifts, owning the investment thesis and portfolio strategy with a 20-year horizon. This role is foundational, requiring leadership in capital raising from day one, sourcing, evaluating, and executing investments across asset classes.
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Engineers will work directly with the CEO and CTO to build full-stack features and improvements, taking true end-to-end ownership of their work and leading key components of the product roadmap. This includes refining the SDLC and CI/CD pipelines while maintaining the AWS infrastructure.
This role involves developing and executing infrastructure validation and testing plans, building automated test scripts for system validation, and enforcing documentation and change control processes. The administrator will validate system updates and collaborate with DevOps to improve CI/CD reliability for the Starfish Storage product.
The engineer will build the infrastructure necessary for exploring, testing, and validating chiplet-based systems across hardware, software, and architectural layers. This involves creating a scalable, high-performance emulation ecosystem to support debug, software development, and power/performance analysis for SiP based AI/ML engines.
The role involves architecting and specifying one or more chiplets intended for robotics and automotive applications, translating high-level requirements into detailed architectural direction. This includes identifying impactful features that enhance Power, Performance, Area (PPA), safety, and reliability while collaborating across design, verification, and software teams.
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