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 AWS Certified AI Practitioner will design, implement, and optimize AI and machine learning solutions to enhance IT call center operations. They will collaborate with cross-functional teams to integrate AWS AI services for automation, predictive analytics, and improved service delivery.
The AWS Certified Solutions Architect will design, implement, and optimize scalable and secure cloud architecture solutions for government call center operations. They will collaborate with stakeholders to ensure infrastructure meets performance, security, and compliance standards while managing AWS services and cost efficiency.
The Data Scientist will design, develop, and deploy advanced machine learning and predictive analytics solutions to improve IT Call Center performance. They will collaborate with cross-functional teams to translate complex data into actionable insights and maintain robust MLOps pipelines.
The Broadband Sales Engineer will serve as a technical leader and trusted advisor to grow business within strategic broadband accounts. They will collaborate with internal teams to develop custom network solutions, manage sales pipelines, and represent the company at industry events.
The Business Development Executive is responsible for identifying new business opportunities, generating leads, and building strategic relationships with prospective clients. They will manage the sales pipeline, conduct discovery conversations, and negotiate commercial terms to drive revenue growth.
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The administrator will manage and support SAP BusinessObjects and SAP Data Services environments, including configuration, security, and performance monitoring. They will also collaborate with business teams to resolve reporting issues and ensure successful production deployments.
The Sales Engineer is responsible for driving sales growth and developing customer relationships within the Northeast Territory. They serve as a technical resource to assess client needs, present solutions, and support the sales process through product demonstrations and ongoing customer engagement.
Design and maintain data acquisition infrastructure while building AI-powered, self-healing scrapers for public data. Develop resilient pipelines and agentic workflows to ensure data accessibility and system observability.
Manage and deepen partnerships with foundation model companies, agent harnesses, and AI-native platforms to expand Apollo's ecosystem. Drive monetization strategies and collaborate with R&D to design and ship new plugins and skills for headless surfaces.
The Machine Learning Engineer will design, develop, and optimize advanced algorithms for workflow automation, computer vision, and signal processing. They will collaborate with cross-functional teams to integrate these algorithms into the company's software ecosystem and ensure performance meets product requirements.
The Principal Sales Engineer will lead technical sales engagements for Federal Civilian entities, including platform demonstrations and Proof of Value execution. They will act as a trusted advisor to guide customers through Zero Trust transformations and ensure technical alignment.
The role involves generating demand and supply reports for network hardware while validating data accuracy and identifying discrepancies. You will collaborate with cross-functional teams to improve planning processes, develop dashboards, and provide actionable insights for business decisions.
Architect and build robust, fault-tolerant web and ETL services that scale to high throughput. Collaborate with engineering teams to optimize existing systems and define high standards for engineering culture.
You will design and scale automated data engineering systems, including agentic pipelines and ML infrastructure, to support a high-growth e-commerce business. You will also collaborate cross-functionally with data scientists and analysts to ensure the reliability and performance of shared data assets.
You will build and scale data pipelines for ingestion into Snowflake while designing agentic systems to automate data engineering tasks. You will also collaborate with cross-functional teams to maintain ML pipelines and ensure the reliability of shared data assets.
The associate will support strategic initiatives and optimize operational processes by conducting market analysis and managing cross-functional projects. Additionally, they will build and own internal AI-driven automation workflows to streamline finance, business development, and reporting tasks.
The engineer will integrate security into the product lifecycle by performing application security assessments and providing remediation guidance to development teams. They are also responsible for automating security processes and conducting code analysis to ensure secure design and implementation.
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The engineer will design and maintain robust cybersecurity architectures while partnering with cross-functional teams to ensure security best practices are adopted. They will also continuously assess risks, define security policies, and implement controls to mitigate emerging threats across the infrastructure.
You will take full ownership of end-to-end execution for strategic partner projects while working hands-on to deliver high-impact technical solutions. You will also collaborate closely with customer engineering and executive teams to ensure the effective integration and use of ElevenLabs' AI technologies.
The Databricks Data Engineer will design and implement data ingestion pipelines and configure a Government-owned Databricks workspace. They will also implement Unity Catalog for data governance and develop comprehensive documentation to support long-term sustainment.
The Network Integration Technical Analyst builds and monitors functions within the Integrated Client Environment to support provider network integration. This role involves proactive issue identification and analytical troubleshooting to minimize negative impacts on business operations.
The analyst will evaluate and support the development of AI-enabled healthcare analytics solutions to improve provider performance insights. They will collaborate with cross-functional teams to translate business requirements into effective analytical capabilities and validate AI-generated outputs.
Partner with business stakeholders to translate complex needs into scalable, AI-enabled technical solutions. Design, develop, and deploy full-stack web applications and Generative AI workflows within AWS cloud environments.
You will be responsible for analyzing, implementing, testing, and maintaining software applications while adhering to organizational coding standards. Additionally, you will collaborate with cross-functional teams to deliver solutions that support business goals and process improvement strategies.
Design and maintain secure integrations between Oracle Fusion Cloud HCM and federal HR systems using Oracle Integration Cloud. Develop bidirectional payroll integrations and implement API endpoints while ensuring compliance with federal security protocols.
Develop, enhance, and maintain secure web applications using C#/.NET, Python, and JavaScript while supporting application modernization and integrations. Collaborate with team members to clarify requirements, estimate solutions, and deliver high-quality software using AI-assisted development tools.
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The intern will assist with data management activities, including reviewing data for consistency and ensuring compliance with regulatory requirements and Good Clinical Practice. They will also support the validation of EDC systems, SAS listings, and the creation of essential data management documentation.
You will participate in multidisciplinary development teams to design and build B2B2C applications using React Native. Additionally, you will contribute to innovative digital solutions involving technologies like Node.js, React.js, and mobile development.
The Principal Software Development Engineer will lead the technical direction for internal tooling and data-product ecosystems while driving the end-to-end design of high-scale web applications. They will mentor senior engineers, establish engineering standards, and collaborate with cross-functional partners to translate business objectives into technical roadmaps.
Design and build machine learning, NLP, and generative AI systems to support scientific discovery and knowledge extraction. Collaborate with cross-functional teams to deploy production-ready models that solve complex scientific and business challenges.
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