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 ServiceNow Architect will design and implement comprehensive solutions while providing technical oversight and ensuring alignment with industry best practices. They will also lead technical project teams, foster client relationships, and contribute to business growth through strategic roadmaps and proposal development.
The Senior Project Manager is responsible for orchestrating the successful implementation of ERP solutions by managing project scope, schedules, and technical workstreams. They act as a key liaison between clients, consultants, and developers to ensure high-quality delivery and alignment with business requirements.
You will design, deliver, and operate the firewall and network-security infrastructure across on-premises data centers and cloud environments. Additionally, you will manage firewall policy engineering, lead platform migrations, and handle incident response to ensure secure and reliable connectivity.
The Lead Data Engineer will design, build, and maintain scalable data pipelines and warehousing solutions while serving as a technical leader for data scrum teams. They are responsible for diagnosing complex technical problems, mentoring junior engineers, and implementing efficient data integration solutions using modern cloud platforms.
You will design, build, and maintain customer-facing enterprise mobile applications across iOS and Android platforms using React Native. Additionally, you will troubleshoot complex system issues, integrate APIs, and contribute to engineering best practices through code reviews.
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The Program Manager will direct Cengage's AI initiatives by managing operational cadence, vendor onboarding, and governance activities. They will coordinate cross-functional teams including Legal, Privacy, Security, and Procurement to ensure smooth delivery and operational readiness.
The Managing Consultant will lead clinical quality analytics workstreams by designing and executing quantitative analyses using complex healthcare claims data. They are responsible for managing client relationships, mentoring junior staff, and translating complex data findings into actionable executive-level insights.
You will own and evolve the Azure cloud infrastructure, CI/CD pipelines, and operational practices for the organization. This includes designing, building, and optimizing platforms that support applications, data integrations, and AI-native services.
Manage complex Salesforce implementation projects across the full lifecycle while coordinating with internal teams and clients. Ensure project health, manage stakeholder expectations, and oversee the integration of business requirements into technical design specifications.
Design and deliver production-grade evidence collectors to automate security and compliance data gathering. Develop agentic workflows using AI to interpret controls and execute review procedures across various APIs.
The Solutions Architect will lead the end-to-end design and deployment of AI-powered applications on the Databricks platform. They will collaborate with cross-functional teams to implement scalable, governed, and production-ready AI solutions.
Design and build production-grade AI agentic systems that optimize customer experiences through reasoning, tool use, and retrieval workflows. You will also develop LLM evaluation systems and maintain scalable Python services within AWS cloud environments.
You will lead the Google Cloud data engineering function, driving modern data architecture, real-time analytics, and Generative AI infrastructure. Additionally, you will mentor high-performing engineering teams and partner with client executives to deliver scalable, business-critical data foundations.
Own the data science components of client engagements end-to-end, from architecture and modeling to production deployment and monitoring. Collaborate with cross-functional teams to define project scopes, present results to non-technical stakeholders, and mentor senior engineers.
The Senior Manager will lead the design, development, and execution of self-service products and AI-powered digital customer experience solutions. They are responsible for driving product strategy, managing the product lifecycle, and overseeing a team of product owners and analysts to deliver scalable, customer-centric digital experiences.
The Junior Developer maintains front-end and back-end applications while contributing to code development in an Agile environment. They also assist with software maintenance, defect remediation, and technical documentation updates.
Lead the technical design and development of full-stack features for SaaS products while building scalable back-end services and intuitive front-end experiences. Partner with architects and product teams to ensure high-quality, maintainable code and mentor other engineers.
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The Senior ISSO serves as the primary cybersecurity and privacy advisor to System Owners, ensuring security requirements are integrated throughout the system lifecycle. They lead RMF activities, maintain authorization packages, and ensure continuous compliance with federal security regulations.
Design, develop, and maintain data pipelines using Databricks and Medallion architecture. Manage the migration of legacy pipelines and support the modernization of analytical platforms for international clients.
The Customer Success Engineer acts as the primary technical owner for enterprise accounts, driving onboarding, adoption, and long-term resilience strategies. They are responsible for conducting recovery simulations, managing churn risk, and aligning business outcomes with the Veeam Data Platform.
Evaluate and rate AI-generated technical outputs against quality criteria while identifying inaccurate or incomplete information. Design comprehensive test cases for functional and edge-case scenarios and document defects with precise reproduction steps.
The Online Data Analyst will enhance the quality of digital maps by performing research and evaluation tasks in a web-based environment. Responsibilities include verifying data accuracy and determining the relevance of information across various task types.
The role involves enhancing the quality of digital maps by conducting research and verifying data accuracy. You will perform evaluation tasks in a web-based environment to support the development of AI models.
Design and deploy AI agents using Microsoft 365 Copilot and Copilot Studio while guiding business users in optimizing copilots. Define governance, security, and compliance practices for the Microsoft AI ecosystem.
![Stone - Linkedin is hiring for remote Staff Security Engineer [AppSec]](/assets/7ddbd535-4349-45de-8c13-c765decea54f.png){kind=small}
Define and implement security architectural standards for applications, including those integrating LLMs and generative AI. Collaborate with engineering teams to perform threat modeling, vulnerability assessments, and incident response to ensure secure software development lifecycles.
The Online Data Analyst will enhance the quality of digital maps by conducting research and evaluation tasks in a web-based environment. This involves verifying data accuracy and determining the relevance of information across various task types.
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Design and maintain automated test frameworks for document-generation workflows to ensure consistency and audit readiness. Implement CI/CD quality gates and validate integrations with Document Management Systems to maintain regulatory compliance.
The role involves conducting structured quality audits on spatial and mapping datasets to verify geographic and business information. You will perform root-cause analysis on data discrepancies and provide feedback to refine mapping algorithms.
The AI Automation Specialist will design and build practical AI-powered tools, dashboards, and workflow integrations to solve operational problems. They are responsible for the full lifecycle of these tools, from intake and scoping to building, testing, and training team members.
Design and build multi-agent AI systems in Python to automate complex go-to-market business workflows. Manage the full lifecycle of backend services, including deployment, observability, and integration with external business systems.
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