DevOps Engineer Jobs in Kazakhstan

We are looking for an innovative Lead DevOps Engineer with extensive experience in cloud computing and scripting and a thorough understanding of CI/CD principles. As a Lead DevOps Engineer, you will drive the team in improving our operations environment and performance, including CI/CD, logging, monitoring, and cloud computing. In addition, you would apply innovative problem-solving to automate workflows and maximize the operational efficiency of our software engineering team. In this role, you will shape the future of our DevOps practice, promote a culture of collaboration, and implement innovative solutions to optimize our software development lifecycle.

We are looking for a Lead Cloud DevOps Engineer , a technician with a good understanding of Agile and ITIL processes, who can act as a coach for our DevOps team junior members. Your role will involve crafting, strategizing, and executing tasks. Moreover, you'll be integral in spearheading strategic endeavors like establishing high-availability application environments, conducting disaster recovery assessments, and facilitating the seamless onboarding of new clientele.

We are seeking a Senior Azure DevOps Engineer with a strong DevOps mindset and excellent communication skills to support and enhance our Windows-based environments. This role focuses on automation, documentation and collaboration across teams to ensure operational excellence.

We are seeking a driven and highly skilled Data DevOps Engineer to support the development and operationalization of an on-premises Data Platform and ML models. You will work on implementing and optimizing infrastructure automation, multi-tenancy, and unified management capabilities. Join us to contribute to a cutting-edge data platform and advance your DevOps career.

We are searching for a dedicated and results-oriented Lead Data DevOps Engineer to drive the development and operationalization of an Enterprise Data Platform (EDP) Foundation. This role focuses on implementing an on-premises data platform, integrating cutting-edge technologies, and ensuring automation, scalability, and multi-tenancy capabilities while maintaining security and operational excellence.

We are seeking a driven and highly skilled Senior Data DevOps Engineer to support the development and operationalization of an Enterprise Data Platform (EDP) Foundation for a leading oil and gas company. This role focuses on implementing and optimizing an on-premises data platform, integrating advanced technologies for data ingestion, processing, and analytics. The position emphasizes automation, infrastructure management, operational excellence, and unified management capabilities.

We are looking for a skilled Big Data DevOps Engineer with profound knowledge of cloud technologies and experience with a variety of data tools and platforms. The ideal candidate will have proven experience in managing and optimizing big data operations across cloud environments.

Are you a DevOps engineer who can easily navigate the world of Big Data? If so, we have an excellent opportunity for you. We are currently looking for a Lead DevOps Engineer (Big Data) to join our team and be an essential resource for managing the Big Data platform environment. The primary focus is to onboard the platform into the environment function and optimize the settings, processes, and support.

We are looking for a Lead Data DevOps to join EPAM and contribute to a project for a large customer in the e-commerce/fashion industry. As a Senior Data DevOps in Data Platform, you will focus on maintaining and implementing new features to the data transformation architecture, which is the backbone of the Customer's analytical data platform. By constantly challenging the status quo, you will deliver high-performance data processing solutions that are efficient and reliable at scale.

We are currently seeking an experienced Lead AI DevOps/SRE to join our team. In this pivotal role, you will collaborate closely with data scientists and software developers to ensure seamless integration and optimize the operational efficiency of our AI deployments. Your expertise will be pivotal in deploying, maintaining, and scaling our cutting-edge AI solutions, encompassing LLMs and RAG systems. As a key team member, you will spearhead both traditional DevOps responsibilities and innovative approaches to MLOps. Your proactive involvement will be essential in driving the success of our AI initiatives and maximizing their impact across the organization.