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 IAM Engineer will design, implement, and support authentication solutions including SSO and MFA across the organization. They will partner with stakeholders to ensure secure, reliable access while maintaining platforms like Okta and Microsoft Entra.
The SCM Integration Lead will spearhead the implementation and integration of core Supply Chain systems, specifically focusing on Blue Yonder WMS. This role acts as the primary liaison between business operations, IT, and external partners to ensure seamless data flow across logistics and financial platforms.
Support project managers in supervising and delivering civil engineering projects, including studies, site investigations, land development, and preparation of design plans, specifications, estimates, and reports. Contribute to site and street design, grading, drainage, water and sewer systems, flood control, transportation improvements, permitting, utility coordination, and construction support.
The Manager of Reporting & Analytics will lead a team of analysts to transform clinical and operational data into actionable business intelligence. They will act as a strategic partner to leadership while personally performing complex data modeling and driving the adoption of modern analytics tools.
The Platform Support Engineer serves as the primary responder for production incidents and service requests, ensuring system stability and performance. They manage incident triage, monitor system health, and collaborate with technical teams to resolve issues while maintaining clear communication with stakeholders.
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The Lead Software Engineer is responsible for designing, developing, and maintaining applications while providing technical leadership for solution delivery. They also manage incident resolution, perform root cause analysis, and ensure system resiliency through automated testing and DevOps practices.
You will engineer and maintain secure, resilient cloud environments while partnering with internal teams to embed security into architecture and tooling. Additionally, you will lead cloud-centric disaster recovery exercises and help secure infrastructure supporting AI-driven pipelines.
Design, build, and scale data pipelines to ingest and transform heterogeneous data sources for analytics consumption. Set technical standards for pipeline architecture and mentor other data engineers on the team.
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.
The Sales Engineer is responsible for the technical and operational aspects of proposed software solutions from the prospect stage through project acceptance. They collaborate with sales and product teams to analyze customer requirements, perform gap analysis, and design integrated solutions using T2 FLEX software.
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.
Manage infrastructure capacity and efficiency programs by tracking progress, coordinating with engineering partners, and ensuring projects stay on schedule. Leverage GenAI tools to accelerate planning, automate workflows, and improve data-driven decision-making.
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.
Design and develop methods to analyze unstructured big data sources to generate actionable insights for product enhancement. Interact with cross-functional teams to identify analytical questions and communicate findings to business managers.
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.
Conduct vulnerability research on internet-exposed services and develop detection logic to identify emerging threats. Collaborate with internal teams to transform research findings into actionable security advisories and automated detection workflows.
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This role leads the implementation and advancement of Manufacturing Data Enablement (MDE) technology using SafetyChain software across all company facilities. The engineer will also manage quality control systems, develop training documentation, and provide technical support to ensure system maturity and compliance.
Own the full post-sales lifecycle for a customer portfolio, including onboarding, adoption, renewals, and expansion through upselling and cross-selling. Build strategic account plans and trusted customer relationships, monitor account health and opportunities, and coordinate internally to resolve issues and deliver customer value.
Analyze US claims and clinical data, cost sheets, spending, and utilization to inform pricing and contracting recommendations using health economics methods. Support adjudication of signed value-based agreements by validating eligible rebates, while collaborating with consulting and product teams to deliver accurate, client-ready analyses.
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.
Own the technical presales experience for prospective customers across the Americas, including discovery, solution guidance, RFI/RFP responses, and customer product evaluations. Support sales and professional services with solution designs, technical architecture, workflows, presentations, demonstrations, and basic proofs of concept.
Build financial and commercial models to assess product investments, pricing, margins, and market expansions, and conduct market research to inform go-to-market decisions. Define pilot success measures and track launch performance, while collaborating with internal teams and external stakeholders to validate assumptions and align commercial strategy with clinical value.
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.
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Build and ship complex platform features, including versioning systems, approval workflows, and permission models, while contributing to architectural decisions and modularizing the core domain. Conduct architectural code reviews, improve automated quality gates, and help develop AI-enabled engineering workflows such as agentic testing and automated reviews.
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.
Lead engineering and operations for AKS clusters and the ARK agentic runtime across a large, multi-tenant government environment, including incident escalation, root cause analysis, monitoring, security, and performance optimization. Mentor engineers, coordinate incident response and change management, and maintain operational and architecture documentation.
Develop and analyze algorithms and models using large datasets to generate business insights and solve business problems, consulting with senior data scientists on analytical methods. Communicate findings and recommendations to technical and non-technical audiences, support project reporting, and continually develop data science skills.
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