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 Cloud Infrastructure & DevOps Engineer will design, manage, and optimize the Azure cloud infrastructure to support the platform's growth. They will also maintain CI/CD pipelines, ensure system reliability, and implement security best practices.
The Senior Clinical Quality Assurance Associate oversees GCP quality systems and provides QA leadership across global clinical operations, including decentralized clinical trials. They are responsible for leading investigations, managing CAPAs, conducting risk assessments, and supporting audit readiness to ensure compliance with regulatory requirements.
The Legal Solutions Engineer will leverage their legal background to conduct discovery and demonstrate how Ontra's AI-powered platform addresses complex private market workflows. They will partner with cross-functional teams to align on customer strategy and serve as a trusted product expert throughout the sales process.
You will own features and systems across the full stack, from problem definition through production. You will partner with product teams to ship high-impact releases and maintain AWS infrastructure.
The Senior Database Administrator will design and implement robust database strategies while ensuring the security and performance of mission-critical systems. They will collaborate with developers to manage database changes and provide proactive support for upgrades and disaster recovery.
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The engineer will design, configure, and implement scalable contact center solutions within Genesys Cloud CX and Amazon Connect. They will also lead discovery sessions with stakeholders to translate business requirements into technical designs and optimize platform performance.
The Lead Full Stack Software Engineer will drive the design, architecture, and development of scalable, cloud-native healthcare applications. This role involves providing technical leadership, mentoring engineers, and ensuring high-quality delivery through code reviews and production support.
The QA Test Engineer will execute functional, regression, and data validation testing across the pharmacy platform to ensure high-quality software delivery. They will collaborate with developers and product managers within an agile team to log defects and improve testing workflows.
Design, build, and maintain full-stack features within a large Ruby on Rails monolith and React frontend. Integrate AI capabilities and LLMs to improve user workflows while ensuring measurable product outcomes.
You will partner with Account Executives to manage technical relationships with federal agency prospects, leading demos and proofs-of-concept for Coder's platform. You will also serve as the voice of the agency to internal product teams while troubleshooting deployments in secure, air-gapped environments.
You will manage scaled customer programs and technical engagement for high-growth accounts using a one-to-many model. Additionally, you will build and maintain technical tools, content, and enablement resources to support the broader Field Engineering organization.
You will lead the deployment, configuration, and optimization of AI-driven financial solutions for credit union clients. This involves acting as a technical advisor, troubleshooting production environments, and driving scalable deployment processes.
The Senior Backend Engineer will design, build, and operate scalable backend services and high-throughput distributed systems for an AI data platform. They will collaborate with engineering leadership on architecture, Kubernetes orchestration, and observability to ensure system reliability and performance.
You will build and maintain the factory-floor UI components and AI interaction interfaces that allow users to self-serve data insights. The role involves collaborating with cross-functional teams to implement features and conducting research spikes to explore new technologies.
The intern will work with infrastructure tools like Docker and Kubernetes to build, deploy, and monitor services. They will also contribute to cost-saving initiatives and improve developer productivity through better workflows.
You will ship technically challenging projects end-to-end in a fast-paced environment while contributing to core features, services, and databases. You will also be responsible for deployment, monitoring, debugging, and testing to ensure high-quality production code.
You will educate customers and collaborate with technical teams to design customized Redis-powered solutions that meet specific business needs. Additionally, you will drive proofs of concept and pilots while working closely with the sales team to identify and develop new account opportunities.
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Develop and maintain data pipelines, including ingestion, transformation, and modeling processes. Ensure the availability and performance of data solutions within the Microsoft Azure ecosystem.
The Senior Software Engineer will design and develop backend solutions using .NET and Azure technologies. They will also collaborate with international teams to maintain high-quality code and implement automated testing within an Agile environment.
The role involves interacting with business and technical teams to gather requirements and design scalable data solutions. You will be responsible for developing pipelines, optimizing transformation processes, and ensuring data quality, security, and governance.
The role involves defining and evolving data warehouse architecture, frameworks, and integration standards while implementing ETL/ELT pipelines. You will also be responsible for ensuring data quality, mentoring junior team members, and participating in architectural decision-making with stakeholders.
The Data Migration Engineer is responsible for migrating customer data from legacy systems to Applied Systems SaaS products while ensuring data integrity and business continuity. They collaborate with cross-functional teams to develop standardized migration scripts and workflows while managing customer expectations throughout the process.
The role involves administering Proofpoint email security platforms and managing vulnerability remediation processes. You will also support incident response activities, including alert analysis, threat investigation, and coordination with technical teams.
The Enterprise Architect will advise customers on secure cloud system design and implementation while assessing cyber risks across various platforms. They will also develop security policies, standards, and technical content to support secure cloud-ready application development.
The specialist will design, configure, and troubleshoot HL7 and FHIR healthcare interfaces while collaborating with implementation teams to ensure successful deployment of autonomous solutions. They will also support billing workflows, validate coding outputs, and serve as a liaison between product, engineering, and customer success teams.
Design, provision, and operate end-to-end cloud-native environments for AI and data engineering solutions. Collaborate with cross-functional teams and client stakeholders to ensure secure, scalable, and production-ready infrastructure.
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The Principal Clinical Data Science Lead oversees end-to-end clinical data review activities to ensure high-quality data delivery for clinical trials. They are responsible for managing budgets, resources, and timelines while serving as the primary point of contact for internal and external stakeholders.
The Cellular Therapy Account Director will lead disease awareness, site onboarding, and strategic account planning for the launch of tabelecleucel. Post-approval, they will drive product utilization and support treatment centers through cross-functional collaboration and expert relationship management.
The ServiceNow Discovery Engineer will manage the health of the Discovery ecosystem, including MID Servers and discovery schedules. They will also translate operational runbooks into structured workflows to improve engineering efficiency and data quality.
Design and build AI agents to analyze infrastructure discovery logs and automate complex troubleshooting processes. Manage data-processing pipelines and API integrations to feed telemetry data into the AI ecosystem.
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