3 Platform Automation Jobs

Senior Software Development Engineer - OCI AI Platform, Services & Solutions Org OCI is Oracle's next-generation cloud platform, built for the most demanding enterprise workloads. We are focused on delivering high-performance computing, storage, networking, and platform services at global scale. The AI Platform, Services & Solutions organization within OCI is building a robust ecosystem to support the end-to-end lifecycle of AI and machine learning workloads. From GPU infrastructure and training pipelines to model serving and deployment tools-we empower teams across Oracle and our customers to build and deploy AI at scale. We are looking for a Senior Software Engineer to join our growing team and help shape the future of AI infrastructure and services at Oracle. You will work on critical components of OCI's AI platform, including high-scale GPU cluster management, self-service ML infrastructure, and model serving systems. Work on critical AI infrastructure that powers Oracle's GenAI and ML initiatives. Contribute to high-impact projects with visibility across Oracle Cloud. Collaborate with top engineers and researchers in a fast-paced, innovation-driven environment. Grow your career in a supportive, mission-driven team building the future of enterprise AI. This is a highly technical, hands-on role where you'll build large-scale distributed systems, optimize AI/ML workflows, and collaborate with cross-functional teams to deliver scalable and reliable solutions. Design, implement, and operate scalable services for GPU-based model training, tuning, and inference. Build tools and APIs that enable internal and external users to easily launch, monitor, and manage ML workloads. Collaborate with product, infrastructure, and ML engineering teams to define and deliver key platform features. Optimize performance, reliability, and efficiency of AI infrastructure using best-in-class engineering practices. Contribute to platform automation, observability, CI/CD pipelines, and operational excellence. Troubleshoot complex issues in distributed systems and participate in on-call rotations as needed. Mentor junior engineers and participate in design and code reviews. What You'll Do Build cloud service on top of the modern Infrastructure as a Service (IaaS) building blocks at OCI Design and build distributed, scalable, fault tolerant software systems Participate in the entire software lifecycle - development, testing, CI and production operations Leverage internal tooling at OCI to develop, build, deploy and troubleshoot software Participate in on-call for the service with the team Qualifications 4+ years of experience shipping scalable, cloud native distributed systems Experience building control plane/data plane solutions for cloud native companies Proficient in Go, Java, Python Experience with container orchestration like Kubernetes Experienced at building highly available services, possessing knowledge of common service-oriented design patterns and service-to-service communication protocols Experience with production operations and best practices for putting quality code in production and troubleshoot issues when they arise Able to effectively communicate technical ideas verbally and in writing (technical proposals, design specs, architecture diagrams and presentations) BS in Computer Science, or equivalent experience Preferred Qualifications MS in Computer Science Experience in diagnosing, troubleshooting and resolving performance issues in complex environments Deep understanding of Unix-like operating systems Production experience with Cloud and ML technologies Generative AI, LLM, Machine learning experience Career Level - IC3

Senior Software Development Engineer - OCI AI Platform, Services & Solutions Org OCI is Oracle's next-generation cloud platform, built for the most demanding enterprise workloads. We are focused on delivering high-performance computing, storage, networking, and platform services at global scale. The AI Platform, Services & Solutions organization within OCI is building a robust ecosystem to support the end-to-end lifecycle of AI and machine learning workloads. From GPU infrastructure and training pipelines to model serving and deployment tools-we empower teams across Oracle and our customers to build and deploy AI at scale. We are looking for a Senior Software Engineer to join our growing team and help shape the future of AI infrastructure and services at Oracle. You will work on critical components of OCI's AI platform, including high-scale GPU cluster management, self-service ML infrastructure, and model serving systems. Work on critical AI infrastructure that powers Oracle's GenAI and ML initiatives. Contribute to high-impact projects with visibility across Oracle Cloud. Collaborate with top engineers and researchers in a fast-paced, innovation-driven environment. Grow your career in a supportive, mission-driven team building the future of enterprise AI. This is a highly technical, hands-on role where you'll build large-scale distributed systems, optimize AI/ML workflows, and collaborate with cross-functional teams to deliver scalable and reliable solutions. Design, implement, and operate scalable services for GPU-based model training, tuning, and inference. Build tools and APIs that enable internal and external users to easily launch, monitor, and manage ML workloads. Collaborate with product, infrastructure, and ML engineering teams to define and deliver key platform features. Optimize performance, reliability, and efficiency of AI infrastructure using best-in-class engineering practices. Contribute to platform automation, observability, CI/CD pipelines, and operational excellence. Troubleshoot complex issues in distributed systems and participate in on-call rotations as needed. Mentor junior engineers and participate in design and code reviews. What You'll Do Build cloud service on top of the modern Infrastructure as a Service (IaaS) building blocks at OCI Design and build distributed, scalable, fault tolerant software systems Participate in the entire software lifecycle - development, testing, CI and production operations Leverage internal tooling at OCI to develop, build, deploy and troubleshoot software Participate in on-call for the service with the team Qualifications 4+ years of experience shipping scalable, cloud native distributed systems Experience building control plane/data plane solutions for cloud native companies Proficient in Go, Java, Python Experience with container orchestration like Kubernetes Experienced at building highly available services, possessing knowledge of common service-oriented design patterns and service-to-service communication protocols Experience with production operations and best practices for putting quality code in production and troubleshoot issues when they arise Able to effectively communicate technical ideas verbally and in writing (technical proposals, design specs, architecture diagrams and presentations) BS in Computer Science, or equivalent experience Preferred Qualifications MS in Computer Science Experience in diagnosing, troubleshooting and resolving performance issues in complex environments Deep understanding of Unix-like operating systems Production experience with Cloud and ML technologies Generative AI, LLM, Machine learning experience Career Level - IC3

Wolters Kluwer is looking for a motivated and talented DevSecOps Senior Engineer to join the dynamic team. This role presents an exciting opportunity for someone with hands-on experience in a mature software engineering and DevSecOps environment to enhance their skills and have a meaningful impact within a forward-thinking organization. As a DevSecOps Senior Engineer, you will play a vital role in supporting the engineering team, contributing to the development, maintenance, and enhancement of the enterprise cloud platform. Your primary focus will involve working closely with various stakeholders, including the engineering team, Cloud Operations, Security, Compliance, and other key partners. You will be responsible for implementing engineering practices to streamline software development processes, improve efficiency, and ensure the reliability and scalability of the cloud platform. This role will provide you with hands-on experience with DevSecOps tools and application and platform technologies to build and maintain continuous integration and delivery pipelines, infrastructure as code, and automated deployment processes. You will be engaged in various tasks such as application and platform automation, infrastructure management, monitoring, and performance optimization. Your foundational understanding of application and platform engineering concepts, practices, and tools will be crucial in implementing best practices and optimizing platform workflows. Collaboration with experienced professionals will offer valuable insights and experiences to support your career growth. As a DevSecOps Senior Engineer, you are expected to actively participate in designing, developing, and deploying cloud platform solutions. Projects will require attention to detail and a commitment to quality. Effective collaboration with team members and clear communication are essential for successful delivery of application and platform solutions. This position provides an excellent opportunity for growth and career development in a supportive and innovative environment. Working with cutting-edge technologies, being part of a collaborative team, and making a significant impact on the organization's success are key aspects of this role. If you are passionate about engineering and eager to advance your career, we encourage you to apply and join the Wolters Kluwer team. Key Responsibilities: - Support architecture for complex applications to meet business requirements. - Implement best coding practices with the support of AI. - Deploy, monitor, and maintain platforms. - Utilize SRE principles such as resilience, metrics, capacity planning, incident management, and security. - Manage cloud infrastructure and services (AWS, Azure, Google Cloud). - Collaborate with cross-functional teams and communicate technical concepts to non-technical stakeholders. - Implement and manage CI/CD pipelines. - Develop scripts and tools for operational efficiency. - Build and transform container and serverless architectures. - Ensure software and platforms adhere to security standards and regulations. - Implement security best practices and conduct regular security assessments. - Document processes, procedures, and infrastructure setups. - Stay updated with emerging technologies and industry trends. - Continuously improve systems, processes, and methodologies. - Participate in project planning and execution. - Ensure timely and budget-friendly project completion. - Understand customer requirements and translate them into technical solutions. - Gather feedback from stakeholders and refine requirements. - Ensure customer satisfaction through high-quality deliverables. - Explore generative AI technologies to enhance software capabilities. - Deploy AI models for automated content generation and predictive analytics. Qualifications & Experience: Requirements: - Bachelor's degree in computer science, Information Systems, or a related field. - Minimum of 5 years of hands-on experience in DevSecOps engineering discipline. - Minimum 1 year of experience with AI and Generative AI technologies. - Experience with Application and Infrastructure Operations. - Proficiency in scripting languages (Bash, Python) for automation tasks. - In-depth knowledge of programming frameworks (.NET, JAVA) and application development. - Extensive experience with Terraform for infrastructure as code (IaC) management. - Proficiency with CI/CD tools and practices (Azure DevOps, Jenkins, GitLab CI). - Comprehensive experience with cloud platforms (AWS, Azure, GCP). - Strong analytical and problem-solving skills. Soft skills: - Excellent communication and collaboration skills. - Willingness to learn and contribute to team success. Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.,