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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You will work directly with clients to analyze business problems and implement high-quality software solutions. Additionally, you will collaborate with senior consultants to design systems, maintain data pipelines, and manage CI/CD deployment processes.
The Quality Assurance Engineer will support client initiatives by testing API-led infrastructure and modernizing government data enablement. This role involves conducting data validation and accelerating the development lifecycle to ensure maximum efficiency.
The Data Analytics Engineer will design and deliver a global analytics platform while providing actionable insights through data modeling and visualization. They will collaborate with IT and business units to interpret complex data sets and drive process improvements across the organization.
The role involves supporting the Epidemiology team by preparing Real World data and conducting statistical analysis to inform clinical development and safety documents. You will also partner with stakeholders to manage projects and provide technical expertise for observational studies.
The Infrastructure Engineer will design, build, and operate infrastructure across multi-cloud AWS and Azure environments using Terraform and GitHub Actions. They will also monitor service health, respond to incidents, and provide mentorship to junior team members.
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The analyst will perform detailed quality assurance reviews of planograms and retail deliverables to ensure accuracy and visual consistency. They will also collaborate with cross-functional teams to document defects and maintain high standards for creative and retail execution.
You will manage Kubernetes clusters, deployment pipelines, and cloud infrastructure to ensure the reliability and security of a multi-chain financial platform. Additionally, you will support engineering teams by optimizing infrastructure, resolving incidents, and maintaining automated deployment tooling.
The Data Analyst will manage and maintain data sets, perform quality checks, and build reports and dashboards for stakeholders. They will also translate complex reporting requirements into clear, actionable insights for non-technical audiences.
The Senior Data Analyst will design and maintain scalable analytical systems to automate data processes and develop pricing optimization algorithms. They will lead cross-functional initiatives and build executive-ready dashboards to drive commercial performance and strategic decision-making.
You will own end-to-end development of product features while integrating AI coding tools into your daily workflow to maximize efficiency. Additionally, you will act as a full stack seed within your team to champion AI-augmented development practices and improve cross-team collaboration.
The role focuses on designing, developing, and optimizing generative and agentic AI solutions to drive business value. This includes prompt engineering, implementing RAG capabilities, and establishing AI governance and observability frameworks.
Develop, validate, and maintain SDTM and ADaM datasets using R while ensuring compliance with CDISC standards. Collaborate with biostatistics and clinical teams to support clinical trial deliverables and automated reporting pipelines.
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You will lead a dedicated data science team to analyze business performance and develop product features that address consumer pain points. This player-coach role involves guiding analysts' work while driving your own projects to improve patient access and care outcomes.
You will work in an autonomous, product-minded team to build and ship lovable experiences for startup customers. You will partner closely with designers and product leaders to shape the future of Mercury's banking and fintech software.
You will collaborate in a cross-functional team to build and maintain core CMS features, integrations, and AI-powered capabilities. This involves translating business needs into technical solutions and proactively identifying and fixing performance or reliability issues.
Lead and support a team of cloud professionals while coordinating multiple AWS projects for various clients simultaneously. Participate in technical pre-sales, infrastructure migrations, and the continuous improvement of cloud delivery processes.
The Senior Microsoft Security Administrator will monitor and maintain Microsoft Defender services, including EDR, NGAV, and DLP policies for Department of Defense customers. They will also ensure seamless integration with SIEM solutions like Microsoft Sentinel and provide detailed security reporting and analytics.
The Solutions Architect acts as a technical consultant to help customers adopt and optimize AWS services while formulating successful cloud strategies. They also serve as a technical reference by creating architectural content, presenting at workshops, and driving organizational improvements.
Interns will work on scaling existing models to identify chronic conditions and enhance NLP and machine learning solutions to improve predictive accuracy. They will also support strategic projects, collaborate with mentors, and deliver a final presentation upon completion of the internship.
The intern will support the development of an enterprise AI-powered Appeals & Grievances solution to improve operational efficiency and scale AI capabilities. They will work with a mentor on strategic projects, perform business-related tasks, and deliver a final presentation.
Drive projects from concept to release by collaborating closely with product managers and designers. Write and review high-quality code while leveraging AI to improve development velocity and domain understanding.
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You will collaborate with a cross-functional team to build complex, scalable data engineering and AI solutions. Your role involves driving technical strategies and mentoring junior team members while applying best engineering practices.
The Platform Observability Engineer will onboard application services onto the Grafana observability stack and implement configurations as code. They will collaborate with application teams to define operational signals, dashboards, and alerts while migrating legacy monitoring to modern standards.
Develop new measurements, KPIs, and models to describe internet quality of service and experience. Collaborate with data engineers and product managers to transform methodologies into viable data products.
Design, implement, and operate scalable streaming and batch data pipelines on AWS. Collaborate with engineers and data analysts to build reliable, high-quality datasets for company-wide use.
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