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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You will develop microservices using AWS serverless architecture and participate in technical design sessions to solve complex business challenges. Additionally, you will provide technical direction to junior engineers and collaborate with stakeholders within an Agile environment.
You will design, train, and deploy AI agents while managing the full ML lifecycle from research to production scaling. You will also build agentic workflows in Python and implement observability metrics to ensure system reliability.
The role involves supporting Agile sprint teams by managing production database environments and providing database subject matter expertise. Responsibilities include designing data models, performing database administration tasks, optimizing performance, and providing production support.
Manage the end-to-end project lifecycle for generator onboarding, including hardware installation, software integration, and stakeholder coordination. Serve as a technical subject matter expert to ensure asset health, market readiness, and proactive troubleshooting for the company's energy portfolio.
The Salesforce Technical Architect is responsible for designing and delivering scalable, multi-cloud Salesforce solutions while acting as the senior technical authority for client engagements. They will lead technical strategy, mentor development teams, and ensure the successful integration of third-party systems into the Salesforce ecosystem.
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Lead a team of data-focused engineers to build and maintain a scalable, modern data platform capable of handling petabytes of data. Drive long-term planning, contribute to the data roadmap, and foster an inclusive, high-performing team culture.
The VP of Enterprise Data & Analytics will lead the end-to-end strategy for data science, analytics, and data products to establish data as a competitive advantage. This role involves hands-on technical leadership, building data foundations for AI, and managing cross-functional teams to deliver measurable business outcomes.
The Marketing Data Analyst is responsible for auditing and monitoring the accuracy, integrity, and flow of marketing data from lead capture through client intake. They will collaborate with internal teams and external vendors to troubleshoot campaign tracking, manage data integrations, and resolve data discrepancies.
The Field Application Engineer acts as the primary technical liaison for US customers, managing technical engagements and driving the adoption of Soitec's substrate technology. They coordinate cross-functional services between sales, production, and quality teams while managing new product qualifications and customer complaint investigations.
You will triage externally disclosed security vulnerabilities in Amazon devices and services while collaborating with internal teams to implement effective remediations. Additionally, you will lead improvements to security programs and automate manual processes to enhance the overall security posture of the organization.
You will be responsible for designing and implementing scalable server-side applications and APIs for a health-tech platform. You will also manage data models and collaborate with cross-functional teams using Agile methodologies.
You will architect and develop complex, high-volume integrations with third-party systems while owning the integration foundation end-to-end. Additionally, you will scale backend systems and collaborate cross-functionally to ensure reliability and performance for thousands of users.
You will architect and maintain the CI/CD infrastructure and deployment systems to ensure fast, safe, and transparent code delivery. Additionally, you will build deployment observability tools and implement reliability guardrails to support the engineering organization.
Lead the design and implementation of robust IAM solutions while integrating GenAI-enabled tools to automate identity lifecycle processes and access governance. Collaborate with cross-functional teams to improve cloud identity hygiene, secrets management, and security compliance across the organization.
The Lead Structural Engineer will guide a team in the design and analysis of industrial and nuclear facility structures while interfacing with clients and other disciplines. They are responsible for directing the preparation of technical deliverables, mentoring staff, and overseeing the application of modern tools and automation to improve engineering workflows.
The Practice Lead is accountable for the vision, growth, and governance of the Enterprise AI Strategy & Projects practice. They orchestrate multidisciplinary teams to turn AI opportunities into scalable enterprise capabilities while driving client outcomes and business growth.
The Senior AI Engineer will design and maintain the AI-powered development harness used by Product, UX, and Engineering teams to ensure traceable and reliable AI-assisted workflows. This role involves building artifact lifecycle systems, authoring agent instructions, and implementing feedback loops to continuously improve AI output quality.
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You will own the learning and enablement strategy for AI capabilities, designing scalable architectures and frameworks to drive workforce transformation. You will also establish measurement frameworks to track adoption, proficiency, and business impact while partnering with program managers to execute high-impact learning experiences.
Develop and modify software enhancements for the Profile Core Product while identifying client requirements and technical specifications. Collaborate with engineering, sales, and training teams to ensure successful product implementation and client support.
The Solutions Engineer will collaborate with sales and product teams to analyze client needs and deliver tailored technical solutions. They act as a bridge between internal teams and partners to ensure seamless integrations and long-term client success.
The Identity & Access Management Security Engineer participates in the development, testing, implementation, and integration of IAM systems and solutions. This role focuses on supporting identity solutions, troubleshooting access issues, and ensuring the security of information resources.
The Senior Associate Software Engineer will design, develop, and support scalable software, data, and automation solutions to meet R&D and commercialization business needs. They will collaborate with cross-functional teams to translate requirements into secure, reliable, and maintainable technical implementations throughout the software development lifecycle.
The IT Tech Lead serves as a subject matter expert responsible for the architecture, integrity, and security of PACS applications. They collaborate with cross-functional teams to deliver high-quality technical solutions, manage vendor relationships, and oversee operational processes including crisis and change management.
Forward Deployed Engineers act at the intersection of sales, product, and professional services to implement AI-driven solutions and solve complex customer problems. They participate in the sales process, map customer requirements to SailPoint solutions, and contribute to building standard agentic technology demonstrations.
Lead the development, implementation, and maintenance of comprehensive security strategies and identity services. Design advanced identity security controls and partner cross-functionally to secure the digital landscape.
Lead the design and development of full-stack features for an AI-powered web application while defining technical vision for AI/ML systems. Drive innovation through prototyping and ensure security, scalability, and observability across cloud architecture.
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You will design, develop, and operate data warehouses, platforms, and pipelines while implementing complex analytical data models. Additionally, you will provide operational support for post-production deployments and collaborate with business resources to meet reporting requirements.
You will design, implement, and operate scalable, reliable, and secure agentic AI systems for enterprise customer experiences. The role involves collaborating with cross-functional teams including Product, UX, Data Science, and Engineering to evolve production-grade AI solutions.
The engineer will build and maintain scalable software for the Cribl Stream control plane, focusing on orchestration and configuration of distributed nodes. They will also collaborate with cross-functional teams to design high-quality features and participate in 24x7 on-call rotations to ensure system reliability.
You will develop and iterate on underwriting prediction models for real-time transaction decisions and scale feature pipelines. Additionally, you will collaborate with cross-functional teams to productionize models and ensure their ongoing health through monitoring and backtesting.
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