Remote Senior Software Development Jobs
22,134 Senior Software Development jobs available for remote work from home. Apply for positions such as Data Analyst III, Senior Full-Stack AI Engineer (Agentic Systems), Software Engineer III - Guidewire (Claims Center) and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Analyze Sportsbook product performance and user experiences through testing, regular reporting, and ad hoc analysis. Present actionable insights to stakeholders and collaborate with analysts and data scientists to support product development and business decisions.
The Senior Full-Stack AI Engineer will design, build, and ship production-ready software features across the full stack, including frontend, backend, and AI services. They will specifically focus on developing agentic workflows, retrieval-augmented generation (RAG), and integrating large language models into enterprise cybersecurity compliance platforms.
The Software Engineer III is responsible for designing, developing, and maintaining applications and integrations using Java, .Net, and web technologies. They also act as an application owner for incident management, technical troubleshooting, and ensuring quality standards through peer reviews and documentation.
Lead cross-functional programs to scale Pinterest's shopping and ads infrastructure while driving modernization initiatives for compute and storage platforms. Utilize GenAI to optimize program workflows, manage dependencies, and communicate technical tradeoffs to diverse stakeholders.
You will build and maintain features across two distinct React applications, focusing on component systems, multi-tenant theming, and AI-generated layout rendering. Additionally, you will collaborate with backend engineers on API contracts and establish high standards for testing, performance, and accessibility.
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The Senior Business Analyst is responsible for documenting business requirements and translating them into functional specifications for technical and operational teams. They also manage project timelines, facilitate stakeholder meetings, and act as a subject matter expert throughout the development life cycle.
The AI Solutions Architect will bridge the gap between business-led AI prototypes and enterprise-grade production systems. Responsibilities include refactoring internal AI tools, managing LLM integrations, and ensuring data governance and scalability across the organization.
Design, develop, and maintain scalable Salesforce and Litify solutions to improve business processes and automation. Collaborate with stakeholders to translate requirements into technical solutions while ensuring platform performance and data quality.
You will design, build, and operate technical solutions, taking ownership from the initial problem definition through to production. This includes managing AI-agent workflows, ensuring system stability, and maintaining high standards for quality and security.
Own user-facing product interfaces, secure communications, encryption, data architecture, access controls, and audit logging. Deliver features end to end from specification through production, including testing, monitoring, iteration, and contributions to shared code standards.
You will design and deliver medium-to-large features while reducing technical debt and ensuring system scalability. Additionally, you will contribute to the development of APIs, data models, and user interfaces while maintaining high standards for data integrity and security.
Support and maintain Linux-based HPC and AI infrastructure, including GPU servers, networking, storage, firmware, and out-of-band management across data center and cloud environments. Troubleshoot and document incidents, assist with maintenance and hardware replacements, validate systems after changes, and collaborate with engineering and data center teams.
Steward ontology definitions and build the mapping, validation, reconciliation, connector, and data pipeline capabilities that bring source systems into the platform. Own source onboarding and production support, including monitoring, troubleshooting, documentation, and collaboration with business users.
Lead major frontend feature releases and manage the production lifecycle, stability, and performance of product domains. Develop intuitive AI-powered interfaces, collaborate with backend engineers, and improve development practices through AI tools, code reviews, and delivery planning.
Own and evolve the company’s AI technical strategy, evaluate models and platforms through hands-on implementation, and guide investment toward measurable business outcomes. Establish enterprise AI standards and review processes, advise leaders and engineering teams, and partner with Risk, Compliance, and Legal on responsible AI practices.
The Manager of People Analytics leads a team to conduct advanced modeling and analytics on HR and financial data to provide strategic business insights. They are responsible for designing analytical tools, managing projects, and coaching team members to drive effective business outcomes.
Design, build, and maintain scalable platform services, managing cloud resources and service boundaries across AWS and Kubernetes. Monitor and optimize system performance, improve development processes, and communicate project status, risks, and issues to stakeholders.
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Lead discovery with clinical, technical, and operational stakeholders to scope tailored solutions, assess feasibility, and demonstrate how the Tom platform can address client needs. Develop deal-specific solution blueprints and value cases, contribute to proposals, and ensure disciplined handoffs to implementation and customer success teams.
The engineer will design, implement, and maintain enterprise-grade observability solutions using Datadog across cloud and on-premises environments. They will also collaborate with SRE and security teams to ensure system reliability, incident response, and compliance with healthcare regulatory standards.
Design and implement automated tests to validate data accuracy and pipeline reliability, including manual testing and automated scenarios written in Gherkin. Review requirements for testability, maintain QA documentation, and collaborate with Data Engineers, QA Engineers, business analysts, developers, and other product teams.
Design, implement, and optimize RPA and BPM workflows, manage Azure database solutions, and develop applications integrating AI, machine learning, and large language models. Provide technical consulting and collaborate with development, operations, and business teams to automate processes, including through low-code/no-code Power Platform solutions.
Install, configure, maintain, and troubleshoot software, operating systems, enterprise applications, and middleware environments. Support application deployment and testing while maintaining secure systems in a large-scale enterprise or government IT environment.
Lead the design, implementation, and phase-two rollout of D365 Finance & Operations, including process mapping, solution architecture, integrations, data management, and security. Coordinate testing, implementation partners, project delivery, change management, and process controls while identifying opportunities to improve efficiency through AI and operational excellence.
Define and evolve product solutions aligned with business goals, translating functional needs into viable technical proposals and rapidly iterating with AI tools. Coordinate multidisciplinary teams, prioritize initiatives, manage dependencies, and connect business, technology, and product teams to ensure focused, high-quality delivery.
Develop software using Microsoft full-stack technologies, including C#, .NET, and React or Angular. Work with REST APIs, microservices, Azure, and secure development practices.
Analyze Sportsbook product performance and user experiences through testing, reporting, and regular or ad hoc analysis. Present actionable insights to stakeholders and collaborate with analysts and data scientists to support product development and data-driven decisions.
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Develop and optimize embedded Linux software for Xilinx UltraScale+ platforms, including PetaLinux images, drivers, FPGA interfaces, and performance-critical applications. Support PCB and system bring-up, testing, troubleshooting, documentation, and integration with hardware, FPGA, DSP, and RF teams in lab and field environments.
Design and develop integrated tactical network and communications systems using SATCOM, terrestrial wireless, and software-defined networking technologies. Collaborate with customers and engineering teams to resolve technical issues, develop system solutions, stay current with industry developments, and brief senior leaders on technical matters.
Design secure, scalable, and cost-effective AWS solutions, and lead migrations from on-premises environments to AWS. Support presales through client presentations, workshops, demonstrations, and proposals while advising clients and collaborating with teams throughout the project lifecycle.
Design secure, scalable, and cost-effective AWS solutions, and lead migrations from on-premises environments to AWS. Support presales through client presentations, workshops, demonstrations, and proposals while advising clients and collaborating with teams throughout the project lifecycle.
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