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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Support the development of Python-based backend applications for the AI-powered ESG solution 'Ribeca'. Work on processing and analyzing structured and unstructured datasets, including map data, and collaborate with technical teams on model evaluation.
Build and optimize a cross-platform video processing and rendering engine using FFmpeg and Skia. Develop WebAssembly infrastructure and iOS integrations to enable high-performance video editing across web and mobile platforms.
Build and extend a canvas-based video editor using PixiJS and WebGL to create high-performance creative tools. Develop collaboration features including co-editing, commenting, and approval workflows for global brand social teams.
The role focuses on maintaining CI/CD pipelines, automating code testing and deployment, and managing infrastructure using code. It also involves monitoring application performance, resolving errors, and implementing security best practices.
The Senior QA Engineer focuses on improving the quality and functionality of Ignition software through automated and manual testing. Responsibilities include developing test plans, mentoring junior engineers, and collaborating with development teams to ensure requirement testability.
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Architect and deploy production-grade RAG pipelines and agentic workflows to process complex multimodal data for government and military clients. Balance high-level R&D and experimentation with the delivery of scalable, production-ready software on AWS.
Lead the technical vision and architectural strategy for high-impact data pipelines serving US government and defense agencies. Develop production-ready code to solve complex challenges in data orchestration and AI-first infrastructure for sensitive workloads.
Responsible for data transfer and the development of interfaces and integration processes within SAP S/4HANA implementation projects. This includes monitoring interfaces, troubleshooting errors, and collaborating with consultants to implement technical solutions.
The role involves building and operating CI/CD pipelines and automating application deployment within OpenShift environments. It also focuses on integrating IAM components and managing infrastructure using Terraform and Ansible.
Design and deploy end-to-end AI-powered products and autonomous agents to automate mortgage lending workflows. Build document intelligence pipelines and AI-driven borrower experiences to compress complex tasks into minutes.
Design and implement end-to-end features from Backend (Node/NestJS) to Frontend (Angular), focusing on dynamic forms and monitoring dashboards. Maintain platform stability through bug fixes, production support, and ensuring compliance with ISO 27001 and SWIFT standards.
The role focuses on managing AWS infrastructure using Terraform and ensuring security compliance with ISO 27001 and SWIFT CSP. Additionally, it involves handling internal IT support, including Azure AD administration and employee onboarding/offboarding.
Develop and implement secure, scalable cloud strategies and platform architectures with a focus on Kubernetes and hybrid cloud environments. Create automation for CI/CD pipelines and implement Infrastructure as Code using tools like Terraform and Ansible.
Design and implement backend systems and data pipelines to normalize and scale third-party data. Collaborate with leadership to enhance UI/UX and improve the overall performance and reliability of the platform.
Lead the design and development of scalable AI/ML and Generative AI solutions from concept to production. Provide technical leadership, code reviews, and mentorship to a team of AI engineers while collaborating with stakeholders.
Lead the design and architecture of enterprise-grade Agentic AI and Generative AI solutions. Collaborate with customers and presales teams to translate business requirements into scalable technical AI workflows.
Design and operate CI/CD pipelines for mobile applications and backend services to automate build, test, and release processes. Collaborate with infrastructure teams to manage non-production environments and integrate quality gates for improved delivery reliability.
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Support and troubleshoot application issues on Linux-based systems and clusters for CSP clients. Manage support cases, perform root cause analysis, and collaborate with Engineering to improve product operability.
Ensure digital product reliability by creating test plans, executing manual tests, and documenting defects. Collaborate with developers and product teams to validate requirements and support release readiness through regression cycles.
Analyze and improve business processes related to sales and budgeting while translating stakeholder needs into functional Salesforce specifications. Collaborate with technical teams to implement scalable solutions and ensure data quality across enterprise systems.
Develop and maintain high-performance IT engines and scalable low-code solutions for federal customers using Appian. Support growth activities including prototypes, RFPs, and translating business needs into technical architecture requirements.
The role focuses on driving the acceptance and specification of PNA concrete solutions by building relationships with architectural and engineering firms. It involves providing technical support to sales teams and translating engineering reports and building codes into project opportunities.
The role is accountable for the end-to-end ownership, delivery, and adoption of enterprise data products within the Chief Data Office. This includes defining product visions, managing backlogs, and partnering with technical teams to ensure scalable and reliable data solutions.
Design and implement customer experience solutions using the Google CCAI suite and Generative AI tools to enhance business performance. Lead design thinking workshops, manage CCaaS migrations, and support pre-sales activities including RFP responses and proofs of concept.
Lead the design, implementation, and operationalization of production-grade data pipelines and workflow automation for index and analytical solutions. Provide technical leadership and mentorship to SMEs while ensuring solutions meet enterprise standards for quality and reliability.
Lead and mentor multiple data engineering teams in the design, build, and maintenance of high-quality data products using Databricks. Establish engineering standards, optimize Spark performance, and oversee the migration from legacy analytical platforms to a modern streaming architecture.
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Lead the design and delivery of end-to-end Pega solutions by translating business requirements into technical workflows and case lifecycles. Partner with stakeholders to ensure scalability, compliance, and alignment with enterprise architecture standards.
Design, build, and scale intelligent ML/AI systems and production-grade models on the Databricks Lakehouse platform. Lead the end-to-end ML lifecycle from concept and feature development to deployment and monitoring.
Develop and maintain complex workflows using Alteryx and IBM Unica to support Medicare and STARS program orchestration. Act as a technical lead to translate business strategies into system architecture and manage data solutions across various platforms.
The Business Analyst will gather and document requirements from CMS regulatory documentation and support client discovery sessions. They will also create workflows, deliverables, and assist the Product Owner with user acceptance criteria and feature writing.
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