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 design, build, and deploy machine learning models for critical cybersecurity use cases such as threat detection, fraud intelligence, and risk scoring. You will own the full model lifecycle, including data preparation, feature engineering, and production monitoring in cloud-native environments.
Develop and innovate machine learning algorithms to optimize advertising performance and ROI. Collaborate with data engineers to implement novel algorithms into production code and iterate based on data insights.
The Applied Machine Learning Scientist will innovate and develop ML algorithms to maximize advertising performance and ROI. They will also write production-ready code and collaborate with Data Engineers to implement and test novel algorithms.
You will define strategy and drive improvements for security programs such as fuzzing, threat modeling, and secrets management. You will also partner with engineering teams to design and implement security controls and provide subject matter expertise for software security.
The role involves administering, monitoring, and troubleshooting Linux-based workloads and Azure platform services. You will collaborate with DevOps teams to support CI/CD deployments, infrastructure as code, and secure platform configurations.
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Drive the full product lifecycle from MVP scoping to production release while leading a cross-functional team. Design and develop scalable backend APIs and responsive frontend components to ensure high-quality, on-time delivery.
The Fintech Software Engineer is responsible for designing, developing, and maintaining scalable, secure financial software solutions and payment systems. This role involves owning specific platform components, managing API development, and ensuring system reliability through monitoring and incident resolution.
Manage engineering projects and teams while conducting unbiased field investigations and testing of incident events. Develop new business opportunities and provide technical findings to clients in a clear, professional manner.
The Senior Electrical Engineer will perform detailed design and analysis of electrical power systems, including substations and SCADA, while ensuring projects meet quality, budget, and schedule requirements. The role also involves conducting power system studies, providing field troubleshooting, and supporting business development efforts.
The role provides comprehensive support for SAP HR and Sales/Service modules, including configuration, enhancements, and process improvements. It acts as a liaison between business users and technical teams to ensure system solutions meet operational requirements.
The Staff Product Security Engineer will lead the design and implementation of secure, scalable architectures for AI, data, and cloud-native systems. They will collaborate with engineering and data science teams to embed security, privacy, and compliance throughout the product development lifecycle.
The engineer will operationalize governance for Microsoft 365 Copilot and Copilot Studio agents, including managing sharing controls, risk-scoring, and remediation. They will also establish guardrails for agent deployment, data protection, and billing while ensuring alignment with firm confidentiality and ethical-wall obligations.
Lead the design, configuration, and optimization of the VHA AI Education Hub platform while developing intelligent AI learning assistants and sandbox environments. Collaborate with cross-functional teams to ensure AI models are safe, explainable, and compliant with federal healthcare data standards.
The developer will be responsible for delivering critical fraud detection and risk management solutions while ensuring application stability and performance. They will collaborate with cross-functional teams to manage deployments, maintain CI/CD pipelines, and support post-implementation activities.
The role involves integrating revenue cycle management solutions to support health systems and physician groups. You will be expected to provide exceptional experiences for clients and patients while driving innovation through emerging technology.
The AI Solutions Architect will lead the strategy, architecture, and implementation of enterprise-grade Generative AI solutions across Finance and Corporate functions. This role involves evaluating emerging LLMs, optimizing AI performance, and acting as a strategic advisor to senior leadership to drive business value.
The MDM Engineer will architect, implement, and support mobile device solutions, including managing configurations, security policies, and connectivity. They will also provide fourth-level support and collaborate with infrastructure teams to ensure seamless integration of mobile hardware and applications.
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The Senior Manager will apply advanced analytics and statistical methods to strengthen quality oversight of clinical development and patient safety. They will develop predictive risk models and dashboards to identify systemic risks and support evidence-based decision-making across regulated R&D activities.
The Technical Account Manager will lead technical onboarding, implementation, and adoption of the platform across customer test frameworks and CI/CD pipelines. They will serve as the primary technical contact to troubleshoot issues, drive product usage, and ensure long-term customer success.
The Staff DevSecOps Engineer will implement and operate global customer-facing SaaS infrastructure while collaborating with engineering and product teams. Responsibilities include managing file integrity monitoring, automating audit evidence collection, and hardening base images.
You will design and maintain high-availability infrastructure for government cloud environments while defining reliability standards and incident response protocols. The role involves end-to-end ownership of the platform stack, including automation, observability, and cross-team collaboration to ensure system resilience.
The AI Engineer will own and maintain AI products in production, ensuring stability and reliability through rigorous testing and evaluation. They will design agent architectures and context engineering strategies to create seamless, high-quality learning experiences for users.
You will be responsible for creating viral content for TikTok and managing the Shopify store operations for a new D2C brand. Additionally, you will oversee the affiliate partner program and utilize AI-driven tools to optimize marketing performance.
You will architect and build highly scalable backend microservices while optimizing big data streaming pipelines using cloud-native AWS services. Additionally, you will maintain reactive frontend components and ensure system reliability through observability and performance tuning.
The developer will design, build, and maintain mobile applications for iOS and Android platforms while ensuring high performance and stability. They will also collaborate with cross-functional teams to implement features, consume APIs, and manage the release process to app stores.
The LLMOps Engineer is responsible for building and running evaluation suites to measure the performance and failure modes of AI products. They will also manage the reporting loop for stakeholders and steward core datasets to ensure model reliability.
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You will identify, validate, and demonstrate realistic attack paths against Array's products and infrastructure using both manual techniques and AI tools. Additionally, you will partner with engineering teams to remediate vulnerabilities and ensure security gaps are fully eliminated.
The Senior AI/ML Engineer will design and build a competency navigation algorithm for an AI learning platform using probabilistic and Bayesian modelling. They will also develop pipelines to process unstructured data using LLMs and build behavioural profiling models as the data asset grows.
The GenAI Solutions Architect will design and oversee AI use cases, ensuring they align with enterprise architecture, governance standards, and integration patterns. They will also provide hands-on guidance to delivery teams, producing reference architectures and documentation to accelerate AI adoption.
Design, build, test, and operate production GenAI capabilities while adhering to strict security and governance standards. Partner across cross-functional teams to facilitate capability transfer and participate in support rotations for live workloads.
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