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 role involves building and scaling virtual desktop solutions while managing security policies, identity providers, and network access controls. You will also be responsible for monitoring system uptime, automating patching, and optimizing costs for AWS WorkSpaces environments.
Participate in the development of modern, scalable, and business-oriented web applications. Collaborate within an international team on high-impact banking sector projects.
You will lead the technical design, development, and implementation of custom .NET solutions hosted in AWS while overseeing daily team operations. This role involves enforcing coding standards, managing complex integrations, and mentoring developers to ensure high-quality project delivery.
Participate in all phases of the software development lifecycle, including requirements analysis, system design, development, and deployment. Collaborate with stakeholders to design and implement high-quality, scalable, and secure software solutions.
Design and develop Generative AI solutions using Amazon Bedrock and AWS cloud services to transition initiatives from experimentation to production. Collaborate with multidisciplinary teams to build scalable, secure, and maintainable enterprise AI architectures.
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You will participate in the design, implementation, and evolution of enterprise backend applications using agile methodologies. Responsibilities include developing new features, maintaining existing applications, and ensuring code quality through unit and integration testing.
The role involves supporting and troubleshooting SDWAN networks, business data circuits, and managed services for ISP/MSP customers. You will also be responsible for onboarding new customers, collaborating with vendors, and mentoring fellow engineers.
The Senior Automation QA Engineer will architect test automation frameworks from scratch and migrate existing suites to Playwright. They will also integrate automated scripts into CI/CD processes and provide technical guidance to the testing team.
You will implement and deploy enterprise-standard security checks like SAST, SCA, and DAST within the CI/CD pipeline. Additionally, you will partner with development teams to conduct threat modeling, review code, and drive a shift-left vulnerability detection program.
You will lead consulting engagements to transform complex business needs into secure, scalable Salesforce solutions for the financial services sector. This involves collaborating with cross-functional teams to guide solution direction and ensure the successful delivery of digital transformation initiatives.
The Salesforce Enablement Analyst will serve as the primary owner of Salesforce operations, governance, and enablement across the commercial organization. This role is responsible for managing system intake, enforcing data quality standards, and driving user adoption through structured processes and training.
You will design and implement RESTful APIs and ingestion pipelines to transform unstructured data into structured engineering artifacts. Additionally, you will build and extend agentic AI workflows and deploy services on GCP using infrastructure-as-code.
You will act as a trusted advisor to prospects and customers, guiding them through digital transformation using GitLab's DevSecOps platform. You will lead technical evaluations, design solution architectures, and serve as the voice of the customer to internal product and engineering teams.
You will build production-grade React applications and develop shared component libraries to manage complex engineering data. Additionally, you will collaborate with backend teams to integrate APIs and implement interfaces for AI-powered features and project dashboards.
The engineer will design and maintain cloud infrastructure, CI/CD pipelines, and observability systems to support AI-powered hardware product development. They will also collaborate with engineering teams to ensure reliable, secure, and scalable platform operations.
You will contribute to MetaMask's social expansion and multi-chain user experiences across web and mobile platforms. Additionally, you will coordinate with experience teams to complete complex projects and mentor junior team members.
The role involves building and deploying production machine learning models to identify fraud and optimize decisioning strategies. You will also identify opportunities for automation to reduce manual work and collaborate with cross-functional teams to improve system performance.
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You will partner with business units to identify decisioning gaps and implement machine learning solutions to combat fraud. Additionally, you will build automation to reduce manual work and run experiments to optimize decisioning strategies.
Design and build AI-powered applications and agentic workflows that integrate with external tools and business systems. Collaborate with cross-functional teams to optimize AI performance, reliability, and scalability in production environments.
The DevOps Engineer will design, build, and maintain cloud infrastructure and automated deployment pipelines for the VA.gov platform. They will also collaborate with engineering teams to improve platform scalability, security, and the overall developer experience.
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The engineer will maintain and modernize a legacy application by upgrading dependencies, frameworks, and libraries. They will also expand unit test coverage and ensure system stability during an extended operational period.
The role involves defining and maintaining key performance indicators to assess the scalability and limits of a private cloud platform. You will also develop automated pipelines and test workloads to identify performance regressions and ensure system readiness.
The Backend Engineer will design, develop, and maintain secure, scalable APIs and services to support the VA.gov platform. They will also participate in platform modernization, technical architecture initiatives, and ensure operational excellence through automated testing and monitoring.
The HR Administrator will manage the end-to-end employee onboarding process, including orientation, HRIS data entry, and compliance auditing. They will also support company culture through engagement initiatives and manage internal merchandise inventory.
The Senior Director will lead the enterprise AI transformation roadmap by identifying and prioritizing high-value AI opportunities across all business functions. They will also establish an AI Center of Excellence and governance frameworks to ensure responsible and scalable AI adoption.
The Solution Engineer will act as a bridge between Sales, Product, and clients to guide prospects through the evaluation of transaction monitoring and anti-fraud solutions. They are responsible for gathering technical requirements, delivering product demos, and ensuring a smooth transition to implementation.
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The Senior Director will lead the enterprise AI transformation roadmap by identifying and prioritizing high-value AI opportunities across all business functions. They will also establish an AI Center of Excellence and governance frameworks to ensure responsible and scalable AI adoption.
The Quantum Error Correction Engineer will develop and benchmark error-correcting codes and protocols tailored to neutral-atom hardware. They will also design fault-tolerant logical operations, develop decoding strategies, and maintain numerical simulation tools to support QPU architecture design.
The Partner Technical Lead will manage technical operations and integration readiness for mobile network operator partners across the Middle East. This role involves coordinating cross-functional teams to ensure seamless network deployment, resolving technical escalations, and maintaining readiness KPIs.
Develop high-performance cloud and container technologies primarily using Python to support 5G and distributed Edge deployments. Participate in agile development processes to deliver quality solutions, unit tests, and resolve integration issues.
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