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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Own end-to-end machine learning projects from exploration to production deployment while building reliable agentic LLM systems. Collaborate with product, clinical, and engineering teams to translate requirements into technical solutions and mentor junior engineers.
You will leverage data to uncover insights, optimize dispute strategies, and minimize financial losses while mitigating fraud and chargeback risks. Additionally, you will collaborate with cross-functional teams to fix root-cause vulnerabilities and build analytical tools to quantify team initiatives.
Provide expert technical guidance and resolve complex issues for users regarding Bentley's iTwin and cloud-based workflows. Collaborate with global teams to diagnose, document, and escalate technical defects while maintaining high-quality support standards.
The Web Application Developer will collaborate with architects and engineering managers to deliver high-quality technical solutions for a diverse customer base. They will participate in Agile ceremonies, write production-ready code, and contribute to infrastructure and data pipeline development.
You will build and test infrastructure automation tools while managing code deployments across all environments. Additionally, you will monitor cloud-based applications and collaborate with cross-functional teams to ensure SLA compliance and resolve production issues.
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![CI&T is hiring for remote [Job-31173] Senior/Master Fullstack Developer (Python/React), Brazil](/assets/96be70cc-b65f-449c-9299-d619efa70efb.png){kind=small}
You will design and implement end-to-end technical solutions for a cloud enterprise platform using Python and React. Additionally, you will maintain system resilience, investigate production issues, and leverage AI tools to optimize development workflows.
The consultant will architect, deliver, and maintain critical cloud platform components including AWS EKS environments and telemetry pipelines. They are responsible for establishing SRE standards, automating deployment workflows, and providing high-level technical advisory to ensure platform resilience.
This role involves designing and evolving automated tests to validate business-critical behavior and data integrity while utilizing AI tools for test ideation. The engineer will partner with product and development teams to improve testability and act as a final quality gate for AI-assisted outputs.
Develop high-impact dashboards, reports, and executive panels using Power BI while applying data storytelling and UX best practices. Collaborate with business stakeholders to translate complex requirements into scalable, high-performance analytical solutions.
The role involves designing and optimizing scalable data structures and pipelines to ensure data integrity and governance. You will collaborate with stakeholders to translate business needs into technical solutions while integrating various data sources and APIs.
You will own the technical adoption and integration of Rabbit into enterprise GCP environments to ensure measurable cost savings. You will also serve as the primary technical contact for troubleshooting, debugging, and advising customers on BigQuery cost strategies.
The Cloud Solution Architect will partner with enterprise customers to design and scale AI and agent-based solutions using the Microsoft ecosystem. They will act as a trusted advisor to drive business outcomes, adoption, and digital transformation while providing feedback to influence product development.
You will design and maintain robust automated testing solutions for API, web, and mobile applications while advancing CI/CD pipelines and testing frameworks. You will also partner with cross-functional teams to identify risks, improve testability, and coach other engineers on quality standards.
The role involves building and implementing Landing Zones in Google Cloud Platform while maintaining infrastructure via Terraform and CI/CD pipelines. You will also apply governance and compliance policies to ensure secure, scalable, and reliable cloud environments.
You will be responsible for implementing, supporting, and optimizing SAP PM-EAM processes while gathering business requirements. Additionally, you will create functional specifications, execute testing cycles, and provide ongoing support for maintenance-related incidents.
Implement and administer secure Google Cloud Platform environments, including Landing Zone setup and organizational structure. Collaborate with DevOps and security teams to ensure compliance with FedRAMP High and IL4 standards using Infrastructure as Code.
Maintain the stability, observability, and predictability of the Open Solutions platform in a production environment. Focus on shifting operations from reactive to preventive by building robust observability and automating repetitive manual tasks.
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Design and maintain high-throughput batch and streaming data pipelines to process global financial transactions. Collaborate with cross-functional teams to build scalable data warehouse and lakehouse architectures while enforcing data quality and governance standards.
Develop and maintain back-end applications using Java and Kotlin while ensuring high quality, scalability, and performance. Collaborate with cross-functional teams to convert business requirements into technical solutions and manage critical production environments.
Design and conduct statistical modeling and analysis to inform business decision-making and evaluate hypotheses. Partner with stakeholders to translate business requirements into actionable analytical solutions and communicate findings clearly.
The Enterprise Account Manager will build and maintain strong relationships with insurance brokers while facilitating platform onboarding and support. They will act as a bridge between customers and the internal technology team to synthesize feedback and drive product improvements.
Design, build, and maintain robust backend services using Java and Spring Boot while ensuring reliability through testing and troubleshooting. Collaborate with cross-functional teams to implement APIs and manage containerized deployments within a CI/CD environment.
Lead the design, development, and delivery of end-to-end data science solutions while providing technical guidance to the team. Collaborate with business stakeholders and engineering teams to translate complex business challenges into scalable, data-driven machine learning models.
The Sr. Director will lead the transformation of managed services from a labor-based model to an intelligence-driven, automation-enabled organization. They are responsible for defining the AI strategy, implementing agentic workflows, and establishing a global Center of Excellence to improve service efficiency and client outcomes.
The Solution Architect will lead discovery sessions and design workshops to translate client needs into technical designs for Salesforce Marketing Cloud projects. They will also integrate Marketing Cloud with external systems using APIs, custom scripts, and tools like MuleSoft.
The Project Manager will lead the operationalization of an AI Content Creation Governance Center of Excellence by coordinating cross-functional forums and managing governance workflows. They will also provide strategic support to leadership through research, decision tracking, and the preparation of executive-level briefing materials.
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Ensure the reliability, availability, and performance of production applications and environments through monitoring and incident analysis. Develop and maintain CI/CD pipelines while implementing SRE practices and automation to improve platform efficiency.
Develop and maintain high-quality C# code within a complex microservices ecosystem for the food industry. Implement robust technical solutions, manage APIs, and ensure system resilience through comprehensive testing and CI/CD processes.
You will own the architecture, development, and automation of end-to-end machine learning solutions while bridging the gap between data science and software engineering. Responsibilities include managing the ML lifecycle, ensuring cloud cost-efficiency, and collaborating with cross-functional teams to deliver scalable production models.
You will design and implement scalable data solutions while managing cloud infrastructure and automating data operations. The role involves direct customer interaction to gather requirements and provide technical leadership for complex software initiatives.
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