146 Lambda jobs available for remote work from home. Apply for positions such as Senior Back-end Engineer (PHP/Python) - Pet Tech Platform, Sr. DevOps Engineer (AWS), Senior QA Automation Engineer LATAM, and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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You will take end-to-end ownership of the backend platform, managing API schemas, AWS infrastructure, and database systems. Additionally, you will integrate AI-powered solutions into core products and collaborate on internal Python-based microservices.
The role involves maturing DevOps disciplines and championing lean agile mindsets while managing and optimizing the AWS platform. You will also troubleshoot complex technical issues, design automation scripts, and mentor internal customers on AWS best practices.
The Senior QA Automation Engineer will design and execute automated test cases for APIs, UI, and backend systems while integrating processes into CI/CD pipelines. They will also perform database validation, conduct AWS QA testing, and maintain comprehensive test documentation.
The Lead Full-Stack Developer will serve as the functional owner of an internal document automation platform, driving its design, development, and continuous improvement. They will collaborate with business stakeholders to translate operational needs into scalable, intuitive software solutions using Laravel, React, and AWS services.
The Software Engineer I is responsible for the development, maintenance, and documentation of enterprise-level applications and SQL reports. They will collaborate within an Agile team to analyze business requirements and implement technical solutions using established architectural patterns.
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The developer will build, test, and maintain web products and services within an agile environment to support internal and external users. They will collaborate with cross-functional teams on full-stack development, infrastructure, and service-based architecture.
The developer will build, test, and maintain web products within the PRH applications suite to support both internal and external users. They will work in an agile environment, collaborating with cross-functional teams on full-stack development, infrastructure, and service-based architecture.
Design, develop, and maintain scalable data pipelines and ETL/ELT processes across AWS platforms. Collaborate with business and technical teams to ensure data quality, governance, and compliance with privacy regulations.
You will lead the design and implementation of Amazon Connect solutions while conducting technology assessments to improve contact center performance. Additionally, you will act as a liaison between technical teams and business stakeholders to ensure projects are delivered on time and within budget.
![CI&T is hiring for remote [Job - 31296] Master Backend Developer / Tech Lead — Java, Go & AWS, Brazil](/assets/96be70cc-b65f-449c-9299-d619efa70efb.png){kind=small}
Design, implement, and maintain high-performance backend services and cloud-native infrastructure on AWS. Provide technical leadership through code reviews, architecture decisions, and team mentoring.
Design, develop, and maintain scalable data pipelines and ingestion processes using AWS services and modern data architectures. Collaborate with BI teams and stakeholders to translate business requirements into efficient, high-performance data solutions.
Design, develop, and maintain scalable web applications while integrating AI models and generative solutions. Collaborate with engineering and business teams to optimize infrastructure performance, scalability, and costs.
The Sr. Developer, APIs is responsible for designing, building, and maintaining a scalable, secure API platform that supports the organization's member ecosystem and agentic AI initiatives. This role involves implementing production-grade APIs, managing the full API lifecycle, and collaborating with cross-functional teams to ensure data governance and system reliability.
You will design and implement enterprise-scale contact center solutions using Amazon Connect, generative AI, and serverless technologies. The role involves hands-on development, debugging production systems, and collaborating with customer engineering teams to deliver high-quality technical solutions.
You will be responsible for managing high-performance, scalable infrastructure and real-time messaging systems to support millions of users. Additionally, you will build automated CI/CD pipelines and monitoring systems to ensure reliability and security across the platform.
You will own the end-to-end ML/AI platform, including training infrastructure, model serving, and inference pipelines. Additionally, you will drive the engineering strategy for GenAI/LLM and agentic workflows while integrating these services with Java microservices.
You will design and implement scalable, performant, and cost-efficient infrastructure solutions while fostering a DevOps culture across development teams. This involves managing monitoring best practices, conducting chaos engineering experiments, and developing internal tooling to support service reliability.
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You will own the end-to-end AWS enterprise architecture and lead the operational team in technical direction and hands-on development. Additionally, you will design and orchestrate AI agents to automate delivery and modernize legacy systems while maintaining client-facing architectural standards.
You will own the end-to-end AWS enterprise architecture, including multi-account governance, security posture, and hybrid connectivity. Additionally, you will lead the operational team, set technical direction, and actively build infrastructure using CDK and agentic tooling.
The Engineering Manager will lead the account management and identity services team, driving technical excellence and architectural strategy. They will also focus on hiring, coaching, and mentoring engineers while fostering a culture of ownership and high performance.
You will lead and grow a team of engineers focused on account management and identity services while driving technical excellence across backend and frontend systems. You will act as a player-coach to architect scalable solutions, mentor senior engineers, and collaborate with cross-functional partners to deliver a high-performance technical roadmap.
Lead the design and implementation of a cloud-native AI/ML engineering platform to support GenAI and traditional AI/ML applications. Drive technical vision, strategy, and architectural integration while mentoring engineering teams and partnering with cross-functional stakeholders.
The Senior Software Engineer will lead the engineering function, overseeing architecture decisions, backend development, and team mentorship. They are responsible for managing production deployments, incident response, and maintaining complex OEM data integrations.
You will own the real-time cloud infrastructure and data path connecting software systems to physical thermal battery hardware. Additionally, you will manage AWS infrastructure, advance AI-first development lifecycles, and build self-service tools for the engineering team.
Design and develop end-to-end features across the full stack, including mobile, web, and backend services. Collaborate with product, QA, and engineering teams to deliver high-quality, tested, and well-documented solutions.
The Cloud Application Architect will design, deploy, and maintain enterprise-class cloud solutions while coordinating with Agile teams to modernize software applications. They are responsible for developing automation, ensuring system security, and leveraging AWS services to support mission-critical government projects.
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You will design and build end-to-end user-facing features using React and Node.js while owning the technical direction and architecture of your domain. You will also collaborate with cross-functional teams to deploy software, resolve production issues, and mentor mid-level engineers.
The Enterprise Architect will design and maintain enterprise systems while aligning IT strategy with business objectives. They will provide leadership to development teams and ensure architectural integrity across all technology projects.
Design and manage scalable AWS cloud-native infrastructure while developing event-driven integrations. Implement CI/CD pipelines, monitoring, and observability to ensure high availability and system reliability.
The Big Data Lead will develop and support data integration, ELT, and data engineering solutions while processing large data volumes in cloud-based environments. They are responsible for designing resilient data pipelines and leading data modeling, governance, and master data management practices.
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