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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Provide technical leadership for the design and evolution of agentic AI services to support client and fan experiences. Define AI agent behaviors, establish reusable engineering patterns, and monitor performance metrics to ensure reliable and scalable outcomes.
The QA/Support Engineer will author and QA AI-driven automations for healthcare workflows while executing high-volume repetitive tasks. They will also maintain technical documentation and contribute to the continuous improvement of internal developer tooling.
Provide technical leadership for the design and evolution of agentic AI services to support client and fan experiences. Define AI agent behaviors, establish reusable engineering patterns, and monitor AI quality measures to ensure reliable and scalable outcomes.
The engineer will own features and systems end-to-end, including technical design, implementation, deployment, and maintenance. They will also mentor junior engineers and collaborate with product managers to balance technical tradeoffs and deliver high-quality software.
The Senior Site Reliability Engineer will define and implement service level objectives while improving the reliability, scalability, and observability of critical cloud-based services. They will also lead incident response efforts, conduct root cause analysis, and mentor the SRE team to ensure operational excellence.
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The Database Administrator will manage, monitor, and maintain multi-cloud database environments including Snowflake, PostgreSQL, and SQL Server. They are responsible for ensuring high availability, performance optimization, security compliance, and automating recurring operational tasks.
Serve as the primary escalation point for complex technical issues that frontline support cannot resolve. Collaborate with engineering and product teams to reproduce defects, create workarounds, and drive continuous product improvement.
The Senior Solution Architect will act as a technical expert to support customers through evaluations, workshops, and the creation of compelling technical proposals. They will collaborate with sales teams and partners to design solutions that align with customer IT architectures and deliver successful Proofs of Concept.
The Senior .NET Engineer will design and implement applications while maintaining high code quality standards. They are also responsible for mentoring team members and participating in technical interviews.
Develop software and hardware for UAV/USV systems from concept to working prototypes while participating in field testing and military training. Collaborate with project beneficiaries and research partners to ensure system robustness and support reconnaissance operations.
The Inpatient Coder I is responsible for accurately assigning diagnosis and procedure codes for inpatient encounters while adhering to regulatory guidelines. They must also collaborate with departments like CDI and HIM Operations to ensure the integrity of medical records and coding compliance.
The medical diagnosis coder evaluates and codes clinical information from health risk assessment forms while performing post-payment audits of adjudicated claims. They also manage provider referrals for documentation corrections and provide regular reports to the supervisor regarding audit findings.
The Cloud Operations DBA will manage and maintain diverse database environments across multiple cloud platforms to ensure system reliability and performance. They will also provide support to development teams, perform database tuning, and implement standardized processes for backups and patching.
The role involves supporting pre-sales and post-sales activities, including customer demonstrations, material evaluations, and on-site equipment installations. Additionally, the engineer will perform servicing, repairs, and provide technical training to customers while maintaining support through phone and CRM systems.
The Lead Engineer will own the engineering, reliability, and lifecycle management of the enterprise agentic AI platform, including production AI agents and control plane infrastructure. They will establish engineering standards, manage FinOps for AI workloads, and lead a team to scale the practice while ensuring alignment with security and governance.
Lead the technical strategy and implementation for foundational services including load balancing, DNS, and security infrastructure. Design scalable platform solutions while providing mentorship to junior team members and ensuring 24/7 system availability.
The Principal Statistical Programmer develops custom code to generate summary tables, listings, and datasets while ensuring quality standards and regulatory compliance. They also act as a lead, directing programming activities, mentoring personnel, and providing technical expertise on CDISC standards.
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The Principal Statistical Programmer will lead programming activities for clinical trials, including the development of ADaM datasets, tables, listings, and figures. They will also provide technical expertise, mentor junior staff, and ensure compliance with regulatory standards and project timelines.
Lead the technical strategy and implementation for foundational services including load balancing, DNS, and security infrastructure. Design scalable platform solutions while providing mentorship to junior team members and driving automation efforts.
Provide technical support for SaaS data management and analytics software to customers in Japan, including Spotfire and Signals One. Collaborate with global product and engineering teams to investigate, reproduce, and resolve complex technical issues.
The Forward Deployed Engineer will partner with business leaders to identify and prioritize high-impact AI agent use cases. They are responsible for designing, building, and deploying production-ready AI agents using the enterprise stack while ensuring alignment with security and governance standards.
The Senior Cloud Engineer will design, implement, and automate secure, scalable, and highly available AWS cloud infrastructure. They will also partner with engineering teams to drive operational excellence, manage incident response, and maintain Infrastructure as Code.
The Lead Data & AI Platform Engineer will design and scale data, analytics, and AI platforms to support global customer operations and automation. They will provide technical leadership and partner cross-functionally to deliver data-driven insights and improve operational efficiency.
The Senior Application Software Engineer will design, develop, test, and implement new or existing application software while leading Agile methodologies. They will also ensure rigorous application of cybersecurity policies and integrate hardware and software components to support the FLITES system.
You will lead the design, development, and scaling of AI-powered applications and agent-driven experiences on the Workiva platform. This involves driving product development from concept to production while shaping technical strategy and mentoring engineering teams.
The Applied AI Science Co-op will research and implement methods to improve embedding quality, personalized ranking systems, and customer behavior models. They will collaborate with scientists and engineers to deploy scalable machine learning solutions for content discovery and user insights.
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The Lead Data & AI Platform Engineer will design and scale data, analytics, and AI platforms to support global customer operations and automation. They will provide technical leadership and partner cross-functionally to deliver data-driven insights and improve operational efficiency.
You will be responsible for building and optimizing data products within the Databricks environment, acting as a strategic bridge between data engineering and data analysis. Your goal is to transform raw data into high-quality, scalable data products while applying engineering best practices to support BI and Data Science teams.
Provide technical customer service, including troubleshooting, diagnostics, and preventive maintenance for life science and genomics products. Coordinate with internal teams to resolve complex issues and maintain accurate service documentation while traveling to customer sites.
The Field Service Engineer provides technical support, troubleshooting, and preventive maintenance for Applied Genomics and Life Science products. This role involves traveling to customer sites across the NJ/NYC and Eastern PA region to ensure equipment operates effectively.
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