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 Senior Test Automation Engineer is responsible for designing and maintaining end-to-end test automation frameworks for both API and UI levels. They will also conduct performance testing, mentor other test engineers, and integrate test suites into CI/CD pipelines.
You will own the full lifecycle of the CRM Opportunities backend, designing scalable data models and distributed workflows. You will also be responsible for building high-performance APIs and ensuring system reliability through instrumentation and incident response.
Design, build, and optimize scalable data pipelines and lakehouse architectures on AWS. Collaborate with cross-functional teams to troubleshoot analytical workloads and ensure high-quality data delivery for customer projects.
Engage with strategic customers to guide them through their DevOps and DevSecOps journey using the JFrog platform. Collaborate with sales, product, and engineering teams to demonstrate technical value and influence product roadmaps based on customer needs.
Design, develop, and maintain automated test frameworks using Playwright and TypeScript while integrating them into CI/CD pipelines. Collaborate with stakeholders to translate business requirements into automated test scenarios and leverage AI-assisted tools to enhance testing efficiency.
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You will develop and execute a comprehensive, AI-first marketing architecture to drive demand and revenue. Your role involves identifying effective channels, automating processes, and building a scalable marketing engine from the ground up.
You will perform security reviews of source code and smart contracts while building automation to secure the development lifecycle. Additionally, you will manage bug bounty programs, coordinate external audits, and research attack techniques to implement concrete defenses.
The Senior QA Engineer will design and scale robust test automation frameworks while integrating AI-assisted approaches into the testing lifecycle. They will collaborate with cross-functional teams to ensure high software quality through functional, regression, and API testing.
You will lead, mentor, and grow a team of AI engineers to build an agentic harness that optimizes product and engineering workflows. You are responsible for defining the AI substrate, managing inference economics, and implementing evaluation infrastructure to ensure high-quality, measurable outputs.
Build and own core products end-to-end, including managing job flows and complex edge cases. Set architectural patterns and tooling standards for the engineering team while coaching others and delivering value on schedule.
You will design and maintain automated test suites for a complex, non-deterministic AI Agent Development Platform, ensuring reliability and performance. This involves building failure-injection tests, verifying multi-tenant isolation, and collaborating with AI engineers to integrate quality gates into the CI/CD pipeline.
You will own and evolve backend services, APIs, and data pipelines that power dealer websites and inventory management at scale. Additionally, you will collaborate with cross-functional teams to design features, review code, and ensure high standards of reliability and performance.
You will own the end-to-end delivery of features on the web portal and collaborate with back-end engineers to design clean APIs. Additionally, you will write comprehensive tests and optimize web application performance for scalability and responsiveness.
You will own end-to-end data platform migration projects, acting as the primary customer contact for scoping, planning, and execution. You will also partner with the engineering team to configure migration agents and refine delivery playbooks.
Own the end-to-end delivery of AI-automated data platform migration projects, including scoping, planning, and execution. Serve as the primary customer contact to manage stakeholder expectations and ensure timely project delivery.
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The Staff Platform Security Engineer will own and strengthen security across cloud infrastructure, Kubernetes environments, and production access. They will partner with engineering and compliance teams to implement security controls, manage vulnerabilities, and drive security architecture reviews.
You will design, develop, and maintain scalable backend microservices and APIs to support the core CRM contact infrastructure. Additionally, you will optimize system performance, troubleshoot production issues, and collaborate with cross-functional teams to deliver high-quality features.
The Lead Business Analyst will drive process improvement initiatives and collaborate with stakeholders to define business requirements for procurement functions. They are responsible for translating these requirements into functional specifications for Power BI dashboards and supporting project delivery through effective communication and UAT coordination.
The developer is responsible for building and maintaining backend systems, integrating applications with required services, and providing clean APIs. They also perform unit testing, resolve incidents, and manage the full lifecycle of IT products within an agile squad.
You will lead end-to-end project involvement from workshops through to design and delivery while performing root cause analysis. You will also manage stakeholders across all levels and produce detailed business requirement specification documents.
Serve as a top-tier technical escalation resource for complex networking issues in high-performance computing and AI/ML environments. Collaborate cross-functionally to influence product design, improve support readiness, and resolve critical customer incidents.
You will co-create with product and design teams to shape technical solutions and direct AI agents to implement features. You are responsible for maintaining the architectural foundations, ensuring code quality, and mentoring team members in AI-native development practices.
You will manage identity, access, and cloud governance across multi-cloud environments while provisioning infrastructure using Terraform. Additionally, you will maintain Kubernetes clusters, develop CI/CD pipelines, and implement observability and disaster recovery strategies.
The Senior Full Stack Engineer will own features end-to-end, from data modeling and architecture to deployment and shipping. They will also manage integrations, maintain engineering standards, and monitor production systems to ensure reliability.
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You will work as a consultant on client assignments or internal projects focusing on integration development and backend engineering. The role involves designing and implementing robust system integrations and utilizing AI tools to enhance development and operational activities.
The specialist will analyze client web analytics data to identify trends and anomalies while creating detailed reports. They will also collaborate with project managers to tailor reports and identify opportunities for A/B testing.
The specialist will analyze client web data to create reports and identify anomalies or root causes. They will also collaborate with project managers to tailor reports and identify opportunities for A/B testing.
The specialist will analyze client web data to identify trends and anomalies while maintaining accurate reporting documentation. They will also collaborate with project managers to tailor reports and identify opportunities for A/B testing.
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