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 role involves leading platform architecture, engineering standards, and developer experience design across a large enterprise. Responsibilities include managing platform integrations, service catalog architecture, and technical leadership for cloud teams.
The Systems Engineer will build, administer, and optimize enterprise OpenShift container platforms while automating infrastructure operations. They will also support application teams in deploying cloud-native workloads and ensure platform security and high availability.
The Accounts Receivable Analyst manages AR requests for multiple locations, reconciles client credits, and assists with cash receipt postings. They also perform ad hoc reporting, support special projects, and provide training for new employees.
The Project Manager will own the end-to-end delivery of AI-as-a-Service engagements, managing a portfolio of 20-30 concurrent customer projects. They will serve as the primary point of contact, coordinating internal teams and ensuring project milestones are met.
The Senior React Engineer will design and build pages for an online banking application while providing technical guidance and mentorship to a distributed team. They will collaborate with product owners to ensure system scalability, performance, and reliability through hands-on implementation and architectural oversight.
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You will lead global alliance strategies for AWS and GCP to expand market reach and drive joint go-to-market initiatives. This involves building senior-level relationships, orchestrating differentiated integrations, and collaborating cross-functionally to accelerate pipeline and revenue growth.
Architect and develop platform capabilities for security, compliance, and privacy use cases while providing technical structure to the team. Collaborate with cross-functional stakeholders to define strategic roadmaps and build scalable services using Golang and Java.
You will own and deliver end-to-end computer vision projects, including equipment defect detection and thermal anomaly identification for power grid infrastructure. Additionally, you will bridge the gap between research and production by adapting novel algorithms and building scalable data pipelines.
You will build and maintain AI-driven security scanners to detect vulnerabilities and lead red teaming efforts against internal AI systems. Additionally, you will develop automation for vulnerability triage and mentor junior engineers on integrating AI into offensive security workflows.
You will own core platform capabilities such as identity, permissions, and enterprise integrations while driving the development of AI-native workflows. You will lead complex technical initiatives from architecture through implementation and mentor other engineers to raise the engineering bar.
The developer will design, build, and maintain scalable enterprise applications using Java, Spring Boot, and microservices architecture. They will also be responsible for cloud-native development, deployment, and monitoring on the Google Cloud Platform.
Lead the development and scaling of internal tools by partnering with cross-functional teams to automate operational bottlenecks. Architect and maintain a unified internal platform while leveraging AI-native workflows to accelerate code delivery.
Develop and support tools and services that enhance enterprise development workflows within the Atlassian ecosystem. Collaborate with cross-functional teams including developers, system administrators, and project managers to solve technical challenges.
You will design, analyze, and build flight controls software for unmanned aircraft systems while performing stability and performance analysis. Additionally, you will develop software components, run high-fidelity simulations, and support aircraft integration and flight testing.
You will design and maintain scalable data pipelines and backend services to transform nutrition data into actionable insights. Additionally, you will collaborate with data scientists to productionize machine learning models and enhance the company's data analytics platform.
The Senior Manager leads the planning and delivery of infrastructure solutions across hybrid environments to support business objectives. They are responsible for building high-performing teams, establishing governance processes, and ensuring the scalability and security of enterprise technology.
The Senior Software Engineer will design, develop, and maintain complex distributed software systems while leading agile teams. They are responsible for mentoring junior engineers, conducting code reviews, and ensuring the delivery of high-quality, scalable, and secure software solutions.
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The Principal SRE will design and maintain a scalable hybrid application platform while orchestrating automated CI/CD pipelines. They will also bridge platform engineering and database teams by developing self-service tooling and driving infrastructure automation.
The Workforce Analytics Manager leads the workforce analytics function to deliver forward-looking insights that support strategic workforce planning and business decisions. They partner with HR and business leaders to define workforce questions, build analytical frameworks, and translate data into actionable recommendations.
The MLOps Engineer will be responsible for managing the machine learning lifecycle and automating data processing workflows. They will also oversee the orchestration, monitoring, and deployment of ML pipelines using GCP and Apache Airflow.
The Senior AI/ML Engineer will define and own the architecture, technical standards, and governance for AI/ML platforms and agentic workflows. They will provide technical mentorship to engineering teams and partner with cross-functional departments to ensure the safe and effective integration of AI solutions.
You will own the frontend architecture for internal and customer-facing applications while establishing engineering patterns and design standards. You will collaborate with cross-functional teams to build accessible, scalable interfaces that integrate with governed backend systems.
The Application Development Engineer serves as the primary technical contact for customers, managing development projects and technical service activities. They collaborate with the commercial team to identify opportunities, develop new packaging structures, and ensure portfolio alignment with business priorities.
The Membership Administrator processes enrollment applications, maintains eligibility data, and reconciles individual and group billings. They also provide customer service to internal and external stakeholders while ensuring compliance with federal and state regulations.
The Cogito Project Manager oversees analytics workstreams, manages project priorities, and facilitates communication between stakeholders and technical teams. They are responsible for requirements gathering, maintaining Agile processes, and ensuring the successful delivery of Epic Cogito reporting solutions.
Design and manage a content workflow that integrates AI tools for research, drafting, and optimization while maintaining a human editorial voice. Execute B2B marketing campaigns across multiple channels and develop strategies for AI-driven search visibility.
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The BI Report Developer designs, develops, and deploys advanced Power BI reports and dashboards using structured data from Microsoft Fabric, SQL Server, and Synapse Analytics. They also collaborate with data engineering teams to optimize data models and present complex findings to executive stakeholders.
The Lead Generation Specialist is responsible for identifying potential customers, building targeted prospect lists, and conducting outbound outreach to generate qualified leads. They will also manage CRM data, schedule meetings for the sales team, and collaborate with various departments to refine lead generation strategies.
You will design, develop, and maintain backend services and frontend applications while collaborating with cross-functional teams to build scalable headless content management solutions. Additionally, you will manage containerized deployments on GCP and ensure the security and efficiency of the digital ecosystem.
You will act as a founding Forward Deployed Engineer to bridge the gap between power engineering domain experts and product development by building, testing, and rolling out critical tooling. This involves deep discovery of user workflows, hands-on technical execution, and driving adoption of new AI-assisted processes across the U.S. team.
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