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 lead product direction for major AI Finance app areas, defining roadmaps and success metrics across multiple squads. You will guide cross-functional teams to ensure high-quality execution and continuous improvement of financial products.
You will build and own complex, state-rich UI systems and integrate AI-powered workflows into the core product. You will collaborate cross-functionally with product, design, and client teams to deliver high-impact, user-centric solutions.
You will lead the full software development lifecycle for features that enhance classroom interaction and student engagement. This involves collaborating with cross-functional teams to innovate and build scalable, user-focused solutions using modern AI technologies.
The role involves owning end-to-end SEO and GEO programs, including strategy, content operations, and analytics for a portfolio of B2B and consumer accounts. You will manage client relationships, execute technical audits, and optimize visibility across both traditional search engines and AI-powered platforms.
Conduct high-quality application security reviews and penetration tests to identify and report security vulnerabilities. Collaborate with internal teams and leadership to drive the resolution of security findings and provide technical security advice.
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Lead a team of electrical engineers in the design, troubleshooting, and modification of complex systems for nuclear power plants. Manage project deliverables, budgets, and client relationships while overseeing technical design changes and equipment procurement.
You will lead licensing basis system and component evaluations for nuclear power uprate projects while performing consulting-level engineering work. Additionally, you will mentor junior staff and interface with clients to present technical solutions and project status updates.
The Information Security Architect leads the governance and maturation of secure design and implementation for enterprise applications across all IT domains. They partner with engineering and DevOps teams to embed security into CI/CD pipelines and conduct architecture risk assessments and threat modeling.
Design and implement cloud-based BI and data reporting solutions using AWS to support enterprise analytics. Build and maintain data pipelines and workflows to integrate data from multiple sources into a centralized BI platform.
The Data Scientist Principal will design and implement AI/ML solutions to support the Centers for Medicare & Medicaid Services (CMS) Hosting, Operations & Maintenance program. Responsibilities include building agentic frameworks, implementing generative AI, and mentoring other data scientists.
The MuleSoft Architect will oversee platform architecture, deployment, and integration strategy to support business needs. They will also perform advanced programming, testing, and maintenance of integration applications while providing technical guidance to staff.
You will develop, maintain, and enhance client reports using SQL and reporting tools while providing technical support and subject-matter expertise in lending and risk management. You will also collaborate with internal teams to analyze complex data sets and identify opportunities to improve reporting efficiency through innovation.
You will develop and troubleshoot embedded multimedia middleware and GStreamer-based pipelines for Linux and Android platforms. You will also collaborate with cross-functional teams to resolve complex issues regarding latency, synchronization, and system performance.
The Senior Data Engineer designs and develops complex, scalable cloud-native data solutions and pipelines to support enterprise analytics and AI-driven capabilities. They also mentor engineering teams, contribute to technology strategy, and ensure data governance and quality standards are maintained.
The Associate Director provides strategic leadership for clinical quality and compliance, overseeing the Quality Management System across research and development. They are responsible for vendor quality governance, clinical study oversight, and ensuring inspection readiness through proactive risk management and CAPA implementation.
You will build and scale production pipelines to translate climate hazard data into actionable financial metrics. Additionally, you will collaborate with cross-functional teams to support model research and ensure data integrity across financial and hazard datasets.
The SIEM Platform Engineer will design, implement, and maintain scalable SIEM architectures across multi-cloud environments. They are responsible for managing log ingestion pipelines, ensuring platform health, and supporting continuous monitoring and compliance requirements.
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Design, develop, and maintain scalable, secure software services while implementing DevSecOps practices and CI/CD pipelines. Collaborate with cross-functional teams to modernize architecture, improve system reliability, and mentor engineering staff.
You will develop quick technical workarounds to unblock business operations and build product prototypes to explore future concepts. You will collaborate directly with the Senior Product Manager and COO to ship functional software solutions.
The consultant will design and implement end-to-end machine learning solutions on AWS to solve complex data science problems for customers. They will also act as a technical resource to operationalize models and develop high-quality technical content like reference architectures.
The consultant will plan, design, and implement security and compliance solutions on AWS while providing strategic guidance to customers. They will also develop automation tools, reference architectures, and technical content to support customer cloud adoption.
The AI Systems Engineer will design, build, and operate the platform layer for large-scale AI training and inference workloads. Responsibilities include managing GPU clusters, distributed training frameworks, and ensuring reliability, efficiency, and cost control.
The Data Solutions Architect will define and lead the architecture of the enterprise data platform, covering ingestion, storage, processing, and governance. They will drive strategic data infrastructure direction and collaborate with cross-functional teams to deliver a scalable data foundation.
The AI Security Engineer will lead the design and implementation of security controls and threat models for AI and machine learning systems. This role focuses on mitigating risks such as prompt injection, model abuse, and data exfiltration within LLMs and AI infrastructure.
The Salesforce API Architect will design and govern integrations between Salesforce and the broader enterprise application landscape. This role involves collaborating with cross-functional teams to translate requirements into engineered solutions while providing mentorship and design oversight.
The AppSec Engineer will embed security throughout the software development lifecycle by partnering with engineering teams to design secure systems. They will identify vulnerabilities and implement security improvements to reduce risk across the application portfolio.
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Design, optimize, and deploy machine learning models for resource-constrained edge devices such as mobile platforms and embedded systems. Ensure reliable AI performance by managing trade-offs in compute, memory, energy, and connectivity.
Design and operate metrics, logging, tracing, and alerting platforms to ensure system reliability. Manage the full observability stack, including collection pipelines, storage, and actionable dashboards for engineering teams.
The DevOps Automation Engineer will design, build, and maintain infrastructure-as-code foundations using Terraform. This role involves creating reusable modules, hardening pipelines, and enforcing policy-as-code across cloud and hybrid environments.
The Reliability Engineer will ensure the availability, performance, and operational excellence of large-scale distributed systems in production. They will apply software engineering principles to infrastructure problems to push the platform toward higher reliability and lower operational toil.
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