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 the construction and optimization of robust data pipelines to power real-time analytics, AI/ML initiatives, and enterprise reporting. Own end-to-end data validation and quality assurance while mentoring junior engineers in coding best practices.
Design, engineer, and support secure, scalable cloud infrastructure with a primary focus on Microsoft Azure. Lead security-driven design decisions across network architecture, identity, and data protection while advancing modernization initiatives.
The Client Support Engineer diagnoses and resolves complex interoperability issues involving FHIR APIs, HL7 messaging, and network integrations. This role performs root cause analysis and collaborates with Engineering and Product teams to drive technical resolutions and support customer escalations.
Design, develop, and maintain high-impact, scalable native iOS applications with a focus on user experience. Lead technical decisions, implement automated testing, and mentor junior and semi-senior developers.
Build statistical models and production systems to optimize advertiser performance and business goals within the mobile ad tech marketplace. Design and execute experiments to validate economic theories and develop applications for budget retention and bidding innovation.
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Lead the design and optimization of Kubernetes-based infrastructure and CI/CD systems to ensure production reliability. Build and govern AI tooling infrastructure, including MCP servers and secure access patterns for production systems.
Lead and manage structural engineering projects from conception to completion, focusing on full building and delegated steel design. Responsibilities include performing structural analysis, reviewing shop drawings, and managing a team of engineers to prepare deliverables.
Perform detailed engineering design and analysis for electrical power systems, including one-line diagrams and relaying schematics for substations. Conduct power system studies and manage project deliverables, budgets, and client communications.
Lead and grow a team of electrical engineers and technicians to ensure the quality and timely completion of projects for industrial clients. Manage resource planning, budgets, and client relationships while mentoring staff and supporting business development.
The role is responsible for the entire certification lifecycle of FPGAs, including authoring DO-254 plans and standards. You will coordinate certification activities with the FAA and DERs to ensure safe airborne electronic hardware.
Serve as the corporate Subject Matter Expert for HF and sulfuric acid alkylation technology across all refining assets. Lead technical leadership, process safety standards, and performance optimization to improve reliability and economic outcomes.
Design and optimize GPU-accelerated software for deep learning inference, focusing on LLM and Generative AI models. Contribute to open-source frameworks and libraries like vLLM and SGLang to improve model serving pipelines across NVIDIA accelerators.
Design, implement, and operate secure corporate IT infrastructure including identity, endpoint, and network architecture. Partner with stakeholders to deliver infrastructure projects and utilize Gen AI tools to accelerate systems administration and documentation.
Act as the design lead for airfield civil construction projects and oversee the work of EITs. Coordinate with owners and subconsultants while presenting design solutions and participating in construction oversight.
Translate complex customer Standard Operating Procedures (SOPs) into precise, software-defined workflows and JSON configurations within the core platform. Configure mobile driver workflows and monitor performance metrics to increase automation and service-level reliability.
Lead the architectural overhaul of post and comment composers across web and mobile platforms to enhance content creation. Define the multi-year technical vision for contribution formats, focusing on video creation, editing, and client-side performance.
Design and optimize reinforcement learning algorithms for robotic control and adaptive behaviors in dynamic environments. Develop sim-to-real pipelines and integrate RL policies with hardware constraints and sensor data.
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Develop and enhance backend services and cloud infrastructure to power medical devices and application ecosystems. Support operations through monitoring, triaging incidents, and building internal automation tooling.
The role focuses on supporting the secure software development lifecycle by providing guidance to engineering teams and managing application security governance. Responsibilities include reviewing security alerts, remediating vulnerabilities, and implementing AI security guardrails.
The role involves designing, prototyping, and deploying production-ready machine learning models and systems. Responsibilities include setting up monitoring protocols, optimizing MLOps workflows, and collaborating with platform and product teams.
The role involves designing and building enterprise-grade MVP agentic AI applications to demonstrate platform value to prospective customers. You will translate business problems into technical solutions and deliver outcome-oriented demos to accelerate platform adoption.
The role involves rotating across departments to identify operational inefficiencies and designing scalable solutions to fix them. Key tasks include building automations, creating Standard Operating Procedures, and leading improvement projects from identification to implementation.
Act as the senior analytical partner to the Marketing organization to define performance metrics and influence investment decisions. You will build the data foundations for AI capabilities and provide strategic recommendations across Growth, Corporate Marketing, and Revenue Operations.
Act as a key analytical partner to the Marketing organization to improve performance understanding and data-informed decision making. Develop data foundations for AI and automation capabilities while collaborating across Growth, Finance, and Data Engineering teams.
The Lead AI/ML Instructor will deliver live lectures, facilitate assignments, and provide feedback to students in an accelerated training program. They are also responsible for reviewing and updating the course curriculum and materials using tools like Jupyter Notebooks and LMS.
Design and maintain scalable ML pipelines and cloud infrastructure to operationalize Generative AI models. Collaborate with data scientists and SRE teams to ensure high availability, security, and observability of production systems.
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Responsible for designing, developing, and implementing enterprise-level software applications for corporate clients. This includes managing technical aspects of development, building integration components, and performing system and performance testing.
The engineer will manage daily platform operations, including onboarding applications and performing platform upgrades and patching. They will also support storage and deployment automation technologies while participating in operational meetings.
Lead the quality engineering strategy for AI-powered healthcare applications, specifically focusing on Voice AI agents and LLM-powered workflows. Design and maintain automated test frameworks and integrate them into CI/CD pipelines to ensure scalable and reliable software delivery.
Manage the full sales cycle from prospecting to closing for AI-powered SaaS products targeting collections and debt-focused teams. Achieve revenue targets by conducting discovery calls, delivering product demonstrations, and maintaining CRM hygiene in Salesforce.
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