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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This role involves performing Quality Assurance and User Acceptance testing on software changes for the South Carolina Medicaid system, focusing on federally and state-mandated updates. Key tasks include developing and executing test cases, analyzing results, and collaborating with project teams on coding changes.
The Cloud Solution Architect will serve as the center of excellence for specific Cloud Security technologies, assisting customers with multi-cloud and hybrid cloud security blueprints and developing Agentic AI applications to solve challenges. They must also deliver paid consulting services, proof of concepts, and maintain expertise in Fortinet products and competitive offerings.
The role involves developing and executing a personalized content strategy across platforms like X.com and LinkedIn to position an executive as a thought leader in Web3 infrastructure, decentralized identity, and AI ecosystems. Responsibilities also include managing community engagement, tracking performance metrics, and ensuring brand consistency across all personal channels.
The role involves owning and leading product features end-to-end, including research, design, implementation, testing, and shipping, while also leading and shaping engineering architecture and setting quality standards across the stack. Engineers will mentor others in adopting AI-native workflows and directly engage with customers to translate requirements into user experiences.
The role involves owning and leading product features end-to-end, including research, design, implementation, testing, and shipping, while also shaping engineering architecture and setting quality standards across the stack. Engineers will mentor others in adopting AI-native workflows and directly engage with customers to translate requirements into user experiences.
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The Senior Software Engineer will build AI and automation systems powering clinical and business operations, owning large surface areas across product, data, infrastructure, and automation to scale the operational platform. Key tasks include building LLM agents, designing AI-driven care orchestration systems, and shipping internal/external products used by various teams.
The primary responsibility is running outbound prospecting across multiple channels, focusing heavily on phone calls to senior leaders at F500 companies to generate qualified meetings. The role also involves contributing to the creation and refinement of messaging, sequences, and targeting strategies based on conversation insights.
The engineer will partner with research scientists to prototype and validate novel modeling ideas, scaling them through robust training systems for speech technologies, internal tooling, and innovative data strategies. Key duties involve architecting scalable training systems for STT/TTS models, designing internal UIs for ML workflows, and overseeing training tooling, job orchestration, and data storage.
The role involves providing computational, data science, and bioinformatics support for research validation and application programs, including developing and maintaining NIH databases and building analytical tools. Responsibilities also include supporting computational modeling and delivering data-driven insights to a multidisciplinary team.
The Database Architect will design, implement, and optimize enterprise database environments for the Human Capital Management (HCM) platform, defining architecture, storage strategies, and performance optimization practices. Key duties include architecting scalable, high-availability database environments, enforcing design standards, and ensuring compliance with federal security and records management policies.
The engineer will participate in all phases of the Software Development Lifecycle (SDLC) to design, develop, and maintain secure, mission-critical applications using Java, Kotlin, and TypeScript within AWS GovCloud environments. Responsibilities include optimizing Oracle and SQL Server database solutions and collaborating within an Agile framework with various teams.
The specialist will drive the growth of the Cortex and Cloud business by building strong customer relationships and partnering with the core sales team to align strategies. This involves leading strategic sales campaigns, managing forecasting, engaging in deep technical discussions, and collaborating with cross-functional teams and alliances to deliver tailored solutions.
The role involves designing and developing critical hardware components such as Ethernet switches, CPU subsystems, memory, and networking interfaces from concept through production. This includes performing system-level analysis, simulation, validation, and testing while collaborating with cross-functional engineering teams.
The Computer Software/Integration Analyst provides technical support for enterprise application and business system testing activities, supporting the full lifecycle of testing and integration in accordance with DoD acquisition requirements. This includes assisting government offices and testing teams in validating system functionality, interoperability, and performance across the enterprise business system portfolio.
The engineer will design and implement the 'Golden Path' for data, ensuring seamless transitions between operational SQL environments, analytics warehouses, and AI-ready datasets by treating infrastructure as code. Key tasks include building automated, reliable pathways in the AWS-hosted SQL Server environment to optimize data for real-time operations and machine learning scalability.
This role involves leading the TechOps team in designing scalable cloud infrastructure on AWS, focusing on implementing DevOps practices, reliability engineering, and ensuring operational excellence across all systems. Key duties include architecting secure, highly available AWS environments, optimizing resource utilization, and leading incident response and disaster recovery planning.
Specialists will converse with advanced language models on language scenarios, verify factual accuracy and logical soundness, and capture reproducible error traces related to Tsugaru language nuances. They will also suggest improvements to prompt engineering and evaluation metrics to harden model reasoning.
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The specialist will converse with advanced language models on language scenarios, verify factual accuracy and logical soundness, and capture reproducible error traces related to Alentejano dialect nuances. They will also suggest improvements to prompt engineering and evaluation metrics based on their findings.
Specialists will converse with advanced language models on language scenarios, verify factual accuracy and logical soundness, and capture reproducible error traces to harden model reasoning. Daily tasks involve documenting failures related to Carioca grammar, syntax, and stylistic variation.
Specialists will converse with advanced language models on language scenarios, verify factual accuracy and logical soundness, and capture reproducible error traces related to Nortenho dialect nuances. They will also suggest improvements to prompt engineering and evaluation metrics to harden model reasoning.
The specialist will converse with advanced language models on language scenarios, verify factual accuracy and logical soundness, and capture reproducible error traces. Daily tasks also involve suggesting improvements to prompt engineering and evaluation metrics based on documented model failures.
Specialists will converse with advanced language models on various language scenarios, verify factual accuracy and logical soundness, and capture reproducible error traces to harden model reasoning. Daily tasks include suggesting improvements to prompt engineering and evaluation metrics based on model failures.
Specialists will converse with advanced language models on language scenarios, verify factual accuracy and logical soundness, and capture reproducible error traces related to Wu language nuances. They will also suggest improvements to prompt engineering and evaluation metrics to enhance model reasoning.
Specialists will converse with advanced language models on language scenarios, verify factual accuracy and logical soundness, and capture reproducible error traces related to Xiang language nuances. Daily tasks include suggesting improvements to prompt engineering and evaluation metrics based on model failures.
The role involves developing modern full-stack applications covering frontend, backend, databases, and infrastructure, while extensively using AI tools like Claude Code to accelerate development and build AI-powered utilities and automation tools.
The role involves applying API-led connectivity concepts to business initiatives, configuring APIs, portals, and analytics based on specifications, and designing enterprise services using RAML, REST, and SOAP. The developer will also participate in integration projects across various business domains.
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The Sales Engineer will develop and execute winning technology strategies in collaboration with sales teams and design creative solutions that address customer needs and provide a competitive edge. They must also build strong relationships with technical contacts and deliver compelling presentations to both technical and business audiences.
This role involves partnering with engineering teams to design secure systems through threat modeling and embedding security into the development lifecycle. Key duties include building automated defense tools, owning technical implementation of compliance controls like ISO 27001 and TX-RAMP, and leading security incident response investigations.
This role involves serving as a technical advisor and trusted consultant to enterprise prospects, driving value-based solutioning and integration of the AI-native platform into complex customer ecosystems. The engineer will partner with Account Executives to discover solutions and architect generative AI experiences for end users.
The specialist will converse with advanced language models on language scenarios, verify factual accuracy and logical soundness, and capture reproducible error traces to harden model reasoning. Daily tasks involve documenting model failures related to Bhojpuri grammar, syntax, and semantics.
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