Cloud Engineering Jobs

Responsible for architecting and implementing enterprise-scale cloud automation solutions across AWS, Azure, and VMware environments. Design automated infrastructure provisioning, configuration management, CI/CD pipelines, and observability-driven self-healing systems. Ensure compliance with security standards and integrate with ITSM workflows.

Oversee enterprise-wide Microsoft 365 collaboration platforms including Teams, Exchange Online, SharePoint Online, and OneDrive, along with AI capabilities. Define service strategy, roadmap, and operating model while ensuring alignment with business priorities. Drive AI adoption and ensure safe deployment in partnership with security, legal, and data governance teams.

Lead end-to-end data architecture design and implementation on AWS using Medallion Architecture. Responsible for building scalable data models across multiple business domains, ensuring data quality, and aligning with enterprise strategy. Oversee data pipelines, team delivery, and stakeholder communication.

We are hiring a Manager/Lead for Data Engineering & ETL Operations to drive enterprise-scale data integration and analytics solutions. The role requires strong hands-on expertise in ETL, cloud platforms, and data warehousing, along with ability to lead teams and manage delivery. This is a hands-on leadership role ideal for professionals transitioning from Senior Engineer to Manager.

Lead the design and implementation of enterprise-scale data warehouse platforms on Databricks and Snowflake, establishing data modeling standards, governance frameworks, and scalable ingestion pipelines. Collaborate with cross-functional teams and engage with clients as a trusted advisor to drive data strategy and architecture blueprints.

We are seeking a Security Engineer responsible for both Web3 and Web2 security paradigms, including penetration testing, cloud security (AWS), and monitoring/alerting systems. The role involves ensuring the security of digital assets, infrastructure, and applications.

This role involves designing, standardizing, and maintaining enterprise data models for large-scale data modernization initiatives. The data modeler will translate business requirements into conceptual, logical, and physical data models across multiple domains, ensuring consistency and alignment with cloud data platforms.

Lead enterprise-scale data modernization initiatives using Microsoft Fabric. Define target-state architecture, implement Medallion architecture, and establish data governance frameworks. Build GenAI-ready data platforms enabling advanced analytics and machine learning.

As a C# Developer at micro1, you will apply your software engineering expertise to train next-generation AI systems by providing high-quality real-world code examples. You will design, develop, and maintain robust C# applications, collaborate with a distributed team, participate in code reviews, and contribute to technical discussions. This fully remote contract role emphasizes your domain knowledge over prior AI experience.

This DevOps Engineer role focuses on architecting, implementing, and optimizing scalable infrastructure solutions across dynamic cloud environments. The engineer will drive production reliability, automation, and security for high-traffic systems, while mentoring new hires and fostering a culture of technical excellence. The position is remote, full-time, and requires deep expertise in AWS, Kubernetes, and Docker.

This DevOps Engineer will apply expertise to help train next-generation AI systems by designing, implementing, and managing scalable cloud infrastructure. The role involves automating deployment pipelines, monitoring systems, and ensuring security best practices. No prior AI experience is required—domain knowledge in DevOps is what matters.

This Site Reliability Engineer role involves deploying, monitoring, and recovering containerized AI training environments. You will use advanced terminal techniques to manage infrastructure, automate tasks, and ensure system stability. The work directly supports training next-generation AI systems, leveraging your domain expertise rather than prior AI experience.

In this role, you'll apply your expertise to help train next-generation AI systems by designing, deploying, and managing scalable cloud and on-premises infrastructure. You will monitor performance, automate processes, and ensure security and compliance. No prior AI experience is needed—your infrastructure domain knowledge is what matters.

This Golang Developer role involves designing and maintaining robust applications using GoLang while applying domain expertise to help train next-generation AI systems. The role is remote and contractor-based, focusing on building high-quality software that shapes how AI models learn and reason. Collaboration with cross-functional teams, code reviews, and performance optimization are key aspects of the position.

This role involves applying full-stack development expertise to help train next-generation AI systems by building scalable web applications. The developer will use React.js, Node.js, AWS, PostgreSQL, Serverless Framework, and WebRTC to create high-quality, real-world input that improves model learning and reasoning. Collaboration with cross-functional teams is essential to deliver new features and ensure performance and usability.

This Python Developer role focuses on building and maintaining robust backend applications using Python and Django, with PostgreSQL and AWS for database and cloud infrastructure. The work directly supports training next-generation AI systems, but no prior AI experience is required—domain expertise in backend development is what matters. You'll collaborate with cross-functional teams, write clean code, and participate in code reviews while working remotely on a contract basis.

This role involves applying AWS expertise to train next-generation AI systems by providing high-quality, real-world input. The engineer will design, deploy, and manage AWS infrastructure, automate operations using IaC tools, and ensure security and compliance. No prior AI experience is required—domain knowledge in AWS is key.

This role applies DevOps expertise to help train next-generation AI systems by designing, deploying, and managing resilient infrastructure across cloud providers. You will implement CI/CD pipelines, containerize applications, automate provisioning, and monitor system health—all while working remotely. No prior AI experience is needed; your domain knowledge in DevOps is what matters.

This Support Engineer role focuses on providing technical support for cloud infrastructure and networking, while also leveraging domain expertise to help train next-generation AI systems. The position involves diagnosing and resolving complex issues, automating tasks with scripting, and using JIRA for tracking. It is a remote contractor position requiring strong communication and autonomous work.

This Solutions Architect role involves applying deep technical expertise to help train next-generation AI systems by architecting and implementing scalable microservices-based solutions on AWS. The position requires collaborating with engineering and product teams, designing infrastructure with Docker and Kubernetes, and ensuring solutions meet performance and reliability standards. No prior AI experience is needed—domain knowledge in cloud architecture is paramount.

This role involves applying C# expertise to train next-generation AI systems. The developer will design, develop, and optimize C# applications, collaborate remotely with cross-functional teams, implement and maintain CI/CD pipelines on Azure and AWS, and participate in Agile ceremonies. No prior AI experience is required; domain knowledge in C# is what matters.