1,529 Git jobs available for remote work from home. Apply for positions such as Solution Engineer - Data Center Networking, Remote Sensing Engineer, Senior Salesforce Developer, and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The Solution Engineer will support enterprise clients in the stable, secure, and performant operation of their data center networks, focusing on Cisco ACI migrations. Responsibilities include analyzing network infrastructure, implementing automation via Infrastructure as Code, and providing technical consulting for design and defect resolution.
The Remote Sensing Engineer will process, analyze, and interpret satellite and airborne imagery to support national security and defense missions. They will also develop automated geospatial processing pipelines and Python-based tools for feature extraction and spatial analysis.
The Senior Salesforce Developer will architect, design, and implement complex Salesforce solutions, including integrations with SiteTracker and ServiceNow. They will collaborate with cross-functional teams to deliver high-quality code and ensure the platform meets evolving business requirements.
The role involves performing modeling, simulation, and analysis of navigation systems to support GPS-denied navigation for advanced flight systems. You will lead the design of new algorithms and collaborate with cross-disciplinary teams to transition technologies into fielded systems.
The Lead Data Engineer will develop and maintain data ingestion pipelines and AI-enhanced applications to support organizational data strategy. They will also manage Azure cloud resources and collaborate with stakeholders to ensure data reliability and accessibility.
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The role serves as a technical anchor for a cross-functional engineering squad, overseeing architecture, design, and development of healthcare data platforms. Responsibilities include building full-stack Java/React applications, maintaining Python data pipelines, and mentoring peers within an AI-accelerated development environment.
The role serves as a technical anchor for a cross-functional engineering squad, overseeing architecture, design, and development of healthcare data platforms. Responsibilities include building full-stack applications, maintaining data pipelines, and mentoring peers while utilizing AI-accelerated development practices.
Design and evolve serverless solutions using AWS Lambda while contributing to the development of APIs and back-end services. Ensure the creation of scalable, secure, and efficient systems by applying best practices in performance and observability.
The role involves implementing and monitoring security controls across Kubernetes, Linux, and database environments while developing AI-driven security tooling. You will also be responsible for vulnerability scanning, maintaining security documentation, and preparing reports for security reviews.
The DevOps Engineer will support software development teams by managing platform applications, compilation, and deployment processes. They act as a bridge between development and infrastructure teams while maintaining documentation for SDLC systems.
The developer will build and manage backend systems, including databases, APIs, and automation workflows for web applications and business platforms. They will collaborate with UI/UX designers and frontend developers to ensure the seamless integration and functionality of digital products.
You will partner with cross-functional teams to build queries, models, and dashboards that turn raw data into actionable business decisions. Additionally, you will investigate data quality issues and document methodologies to ensure results are reproducible and trusted.
The Senior Software Developer will design, develop, troubleshoot, and analyze software programs while coordinating with departments to resolve significant software matters. They will also provide first-level on-call support and maintain communication with management and customers regarding project status.
The Analytics Engineer will develop and mature an end-to-end digital thread by integrating data across siloed business units. They will leverage Python and statistical expertise to build analytical models, automate workflows, and provide actionable insights to support product performance.
The Data Engineer will design and maintain robust data models, pipelines, and database objects while ensuring alignment with architectural standards. They will collaborate with the engineering team to develop APIs and data management tools within an agile, continuous delivery environment.
Design and build scalable distributed systems and ML pipelines to support search, retrieval, and recommendation use cases. Collaborate with cross-functional teams to deliver high-quality AI-driven features and maintain production services.
The Cloud Engineer will design, deploy, and maintain mission-critical cloud infrastructure across AWS, Azure, and GCP environments. They are responsible for managing CI/CD pipelines, ensuring operational health, and enforcing security and governance standards.
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You will design and implement comprehensive testing strategies while balancing manual and automated testing approaches. Additionally, you will collaborate with cross-functional teams to ensure high software quality standards are maintained throughout the development lifecycle.
You will manage end-to-end client engagements, from discovery and requirements gathering to building solutions and training end-users. You will design and deploy AI-powered workflows, integrations, and automations while maintaining multiple active projects.
The Senior Manager is responsible for designing, managing, and optimizing data and BI platforms while leading the delivery of data pipelines and architecture. They will also manage team members, drive project planning, and partner with stakeholders to ensure data availability and quality.
You will leverage advanced statistical modeling, machine learning, and data engineering to develop scalable predictive solutions. You will also collaborate cross-functionally to translate complex data into actionable business outcomes.
Design, build, and maintain innovative network tools and automation solutions to meet evolving business needs. Collaborate with cross-functional teams to refactor existing tools and ensure optimal application performance and security.
You will develop, maintain, and improve an established platform within the public sector by working across the entire development stack. Responsibilities include troubleshooting code, managing databases, performing DevOps tasks, and supporting the team with technical solutions.
The DevOps Engineer will support software development teams by managing platform applications, compilation, and deployment processes. They act as a bridge between development and infrastructure teams while maintaining documentation for SDLC systems.
Design, implement, and maintain cloud and on-premises infrastructure using Infrastructure as Code and Kubernetes. Collaborate with cross-functional teams to automate provisioning and ensure secure, resilient environments aligned with DoD principles.
The Senior DevOps Engineer will design and implement enterprise-grade GitLab CI/CD pipelines to support Oracle-to-cloud data warehouse migrations. They will also automate deployment processes and provide technical mentorship to team members on DevOps best practices.
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You will design and implement scalable AI and agentic workflows while maintaining high-quality, secure, and performant code. You will also partner with leadership to translate business requirements into technical solutions and remediate technical debt.
You will be responsible for analyzing requirements, creating test scenarios, and maintaining test documentation for affiliate cashback systems. Additionally, you will develop and maintain automated tests in Go while identifying and reporting defects throughout the development lifecycle.
The Senior AI Engineer will design and implement evaluation pipelines to ensure the reliability, quality, and cost-effectiveness of AI-powered product features. They will also instrument LLM interactions and build observability dashboards to monitor performance, latency, and safety signals in production.
The Staff Engineering Manager will lead and mentor engineering teams while driving technical vision and architectural strategy for large-scale distributed systems. They are responsible for ensuring engineering excellence, secure coding practices, and delivering innovative solutions that support core freight movement operations.
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