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 Sales Engineer will partner with the sales team to translate customer needs into technical product use cases and design effective solution architectures. They will also build rapid demos and proof-of-concepts to validate workflows and accelerate the sales process.
The role involves owning and improving Datadog Cloud SIEM and security observability capabilities across production and corporate environments. You will design, build, and maintain detection rules and telemetry pipelines while collaborating with security and engineering teams to ensure actionable security signals.
The developer will be responsible for coding and problem-solving using core Java and Spring Boot. They will also provide production support and manage database and API integrations.
The Field Service Engineer will perform onsite troubleshooting, preventive maintenance, and emergency repairs on electro-mechanical and automation solutions. They are also responsible for documenting service events, managing parts inventory, and maintaining high levels of customer satisfaction.
Build and maintain scalable data products, features, and pipelines to support statistical models and analytical applications. Collaborate with cross-functional teams to ensure data quality, governance, and observability across analytical and production environments.
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The consultant will design, enhance, and support customized SAP solutions for high-volume customer receivables and payment processing. They are responsible for managing integrations across FI-AR, SD, and GL modules to ensure accurate financial reconciliation.
You will own the end-to-end architecture for DigitalOcean's AI-native business, defining standards for agentic systems, orchestration, and enterprise integration. You will also build prototypes, publish reference implementations, and mentor engineering teams across the US and India.
You will define end-to-end mission concepts for lunar landers and surface power systems while connecting customer needs with high-performing technical solutions. Additionally, you will perform power and avionics design, conduct trade studies, and contribute to programmatic planning and proposal development.
The Senior Mechanical Systems Engineer will define end-to-end mission concepts and develop designs for lunar landers, rovers, and spacecraft. They will lead cross-functional teams to ensure engineering solutions meet mission requirements and business objectives.
The engineer will design and develop transmission and distribution substations, including protection and control systems for various utility and industrial projects. They are responsible for performing electrical calculations, ensuring compliance with industry standards, and providing technical support throughout the construction and remediation phases.
You will design, build, and maintain the core platform for sportsbook and casino experiences by working across backend systems and user-facing applications. This includes developing scalable APIs, responsive interfaces, and data pipelines while ensuring system reliability and performance.
The Inside Solutions Architect drives data center networking and AI infrastructure sales opportunities through a virtual-first engagement model. They act as a subject matter expert, providing architectural guidance and technical positioning to account teams and customers.
The Data Engineer will design, implement, and maintain data interactions while optimizing operations for performance and scalability. They will also contribute to the development of APIs, data models, and backend systems to support healthcare reporting programs.
You will design and implement a scalable, secure, and maintainable data platform using Microsoft Fabric to support clinical trial data needs. This involves building automated data pipelines, developing data models, and creating Power BI reports to provide actionable insights.
Develop and configure solutions on the Pega platform by implementing business rules, processes, and functional components. Collaborate with the Senior System Architect within Agile teams to ensure high-quality application delivery and maintenance.
The Data Scientist will apply statistical modeling, data mining, and NLP techniques to analyze complex public sector problems. Responsibilities include data pre-processing, feature engineering, model development, validation, and visualization of results.
The Principal Cyber Security Engineer will design, implement, and manage security measures to protect organizational data, systems, and networks across on-premise and cloud environments. They will also lead security breach responses, conduct vulnerability testing, and provide guidance to team members on security best practices.
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Lead complex, high-risk customer deployments by designing agentic workflows and building integrations while providing technical leadership across multiple workstreams. Coach junior engineers to improve their problem-solving skills and translate customer challenges into reusable platform capabilities.
You will own and extend the simulation tooling, ensuring determinism, reproducibility, and high-quality test suites for autonomous ground handling systems. Additionally, you will build and operate cloud-based scenario execution, failure-triage tooling, and evaluation layers to gate releases effectively.
Design and operate security controls across cloud platforms and edge infrastructure, including Cloudflare WAF and SASE solutions. Collaborate with infrastructure and incident response teams to implement zero-trust network access and cloud security posture management.
The Security Engineer will assess the security posture of AI/ML systems, including Large Language Models and generative AI infrastructure. They will conduct threat modeling, implement security controls, and develop security runbooks to mitigate risks like prompt injection and data exfiltration.
You will own the revenue systems layer by designing and maintaining the integration between CRM, billing, warehouse, and analytics platforms. Additionally, you will implement AI-driven workflows and ensure data integrity across complex account hierarchies and pricing models.
Design, implement, and maintain IAM frameworks across multi-cloud environments while integrating Generative AI to automate security workflows and anomaly detection. Collaborate with cross-functional teams to ensure identity and access controls are embedded into AI/ML systems to protect sensitive data and maintain compliance.
The Senior Firmware Engineer will research, develop, and maintain embedded solutions for secure issuance printers and laminators. This role involves collaborating with cross-functional teams to define requirements, design architectures, and resolve technical defects.
Lead and mentor a team of engineers while designing, building, and optimizing mobile CI/CD pipelines. Own the end-to-end mobile application delivery process, including release automation, code signing, and deployment to app stores.
The Software Support Engineer will triage, debug, and resolve issues while managing feature releases and maintaining backend AI applications. They will work directly with the founder to ensure platform reliability and support ongoing development workflows.
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The Principal Salesforce Developer will design, develop, and deploy scalable solutions across the Salesforce platform while leading technical discovery and strategy. This role involves hands-on coding, mentoring developers, and partnering with business stakeholders to implement AI and data-driven initiatives.
Lead the design and analysis of electrical systems for hyperscale and AI data centers using SKM PowerTools. Provide technical leadership, mentor junior engineers, and ensure compliance with international electrical standards across complex projects.
The AI Lead Engineer will oversee the development and deployment of advanced AI models and machine learning solutions. They are responsible for managing the end-to-end lifecycle of AI projects, including model training, evaluation, and productionization within cloud environments.
The role involves performing functional testing on AI agent workflows and validating LLM responses for accuracy, consistency, and hallucination rates. Responsibilities also include developing automation scripts and testing RAG pipelines and multi-agent interactions.
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