5,487 Azure jobs available for remote work from home. Apply for positions such as Senior Presales Engineer, Cloud, Payroll Integration Developer, Managed Services Operations Lead - FinOps, and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The Senior Presales Engineer will partner with Sales to lead technical discovery, design cloud solutions, and support complex enterprise opportunities throughout the lifecycle. They will act as a bridge between customers and internal teams, including Product, Engineering, and Finance, to ensure successful proposal development and contract execution.
You will design, develop, test, and deploy inbound and outbound interfaces connecting payroll solutions to various agency systems. Additionally, you will maintain interface specifications and coordinate with trading partners to resolve integration defects.
The Managed Services Operations Lead serves as the senior technical authority for Cloud FinOps, driving the design and implementation of cost optimization solutions across AWS, Azure, and GCP. This role provides technical leadership, mentorship, and strategic guidance to delivery teams while managing complex client financial scenarios and automation roadmaps.
The role involves developing scalable data pipelines, microservices, and ETL/ELT solutions within the Azure cloud environment. You will also mentor other engineers and collaborate with stakeholders to implement AI-based solutions and optimize data reliability.
You will own and maintain the AI Hub platform infrastructure used by over 55 portfolio companies, including deployment, integrations, and security. Additionally, you will provide L2 technical support and guidance to local AI Champions to ensure stable and scalable AI operations.
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You will serve as a trusted technical advisor, guiding customers through the deployment and operationalization of the Wiz platform within federal and SLED environments. Additionally, you will act as the primary technical liaison, driving the resolution of complex architectural challenges and fostering long-term customer success.
Provide technical and operational support for cloud-based systems while maintaining reliability and performance. Design and implement automation, monitoring, and alerting solutions to proactively manage production environments.
The engineer will drive the technical and architectural vision for core freight movement operations while managing the full software development cycle. Responsibilities include building scalable platform services, developing APIs, and ensuring operational excellence through monitoring and troubleshooting.
Develop and evolve high-performance web applications using Java, Spring Boot, and Angular. Create and maintain scalable microservices while ensuring quality, security, and adherence to development best practices.
The engineer will monitor and optimize the performance of the enterprise cloud data platform, focusing on database efficiency, query execution, and resource utilization. They will also collaborate with cross-functional teams to implement automated monitoring, security posture improvements, and disaster recovery solutions.
You will architect and govern cloud security controls across AWS and GCP while embedding automated security testing into CI/CD pipelines. Additionally, you will define security guardrails for AI/LLM deployments and manage vulnerability assessments across the cloud ecosystem.
The Solution Manager will design, build, and scale AI-enabled manufacturing solutions, including prototypes and reusable intellectual property. They will lead the end-to-end development process, translating complex manufacturing problems into technical requirements and operational outcomes.
The Senior Manager will lead the design, development, and scaling of AI-enabled manufacturing solutions, setting the vision and roadmap for a portfolio of reusable assets. They will manage multidisciplinary teams to translate complex manufacturing priorities into production-oriented technical solutions while ensuring quality, risk management, and commercial relevance.
![CI&T is hiring for remote [Job-31573] AI Engineer Master](/assets/96be70cc-b65f-449c-9299-d619efa70efb.png){kind=small}
Design and architect scalable, production-ready AI solutions including intelligent agents and RAG systems. Lead technical initiatives and establish LLMOps practices to ensure performance, reliability, and business impact.
The Director of Data Architecture will lead the design and implementation of scalable, AI-ready data platforms using Microsoft Azure and Fabric. This role involves serving as a strategic advisor to clients, managing presales activities, and providing technical leadership to engineering teams.
The Data Architect will design and oversee scalable data infrastructure while collaborating with stakeholders to translate business requirements into effective data engineering solutions. They are responsible for defining data models, ensuring data quality, and providing technical guidance to engineering teams throughout the implementation process.
You will be responsible for end-to-end quality assurance, performance engineering, and automated regression testing across Oracle Utilities systems. This includes designing test scenarios, executing batch load and stress tests, and managing software defects to ensure zero-defect deployments.
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You will be responsible for back-end development using microservice architecture and participating in the design and architectural decision-making process. Additionally, you will implement various testing strategies and collaborate with international teams to deliver product roadmaps.
You will perform back-end development using microservice architecture and participate in the design of application architecture and code reviews. Additionally, you will collaborate with cross-functional teams in an Agile environment to deliver product roadmaps and ensure high coding standards.
You will develop and test AI-powered software solutions while collaborating with product managers and senior developers. Additionally, you will troubleshoot technical challenges and refine features to improve overall product performance.
You will lead the enterprise program for non-human identity security, managing the strategy, roadmap, and governance for machine and workload identities. You will also collaborate with cross-functional teams to implement identity controls, automate secret rotation, and ensure compliance with security standards.
The role involves handling L1/L2 technical support requests and monitoring client infrastructure, including cloud systems and servers. You will also be responsible for maintaining technical documentation and communicating effectively with customers and third-party vendors.
Design, model, and develop the GCP data ecosystem including data lakes and warehouses while ensuring optimal performance. Provide technical troubleshooting, mentor junior engineers, and collaborate directly with clients to define business requirements.
Design, develop, and maintain SQL Server databases and data pipelines within Azure environments. Collaborate with finance and business stakeholders to ensure data accuracy and optimize performance for reporting and analytics.
The Measures Developer is responsible for designing, programming, and maintaining electronic healthcare quality measures using SQL, CQL, and Python. They will also perform data mapping, validation, and root cause analysis to ensure compliance with regulatory reporting requirements.
The specialist will perform technical and application-level performance tuning for Unit4 Financials by Coda across new and existing implementations. They will also develop proactive monitoring and remediation processes to ensure optimal system performance.
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Architect and deliver end-to-end AI/ML and Generative AI solutions for enterprise clients from discovery to production. Lead technical implementation, provide architectural governance, and support pre-sales activities including client workshops and solution design.
The Senior Software Engineer will design, maintain, and deploy scalable cloud-based applications while serving as the technical owner for platform integrations. They will also collaborate with cross-functional teams to troubleshoot production issues and mentor other engineers to foster a culture of continuous learning.
The role involves providing L2/L3 technical support across cloud, infrastructure, and endpoint environments while managing complex escalations. You will also contribute to infrastructure projects, system maintenance, and the development of technical documentation and operational processes.
Design and develop scalable, secure microservices and cloud-based platform components to support high-performance AI applications. Collaborate with AI engineers to integrate systems, optimize backend performance, and ensure reliable deployment in containerized environments.
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