Search the 7 jobs at InOrg Global

The Technical Project Manager will oversee the planning, execution, and delivery of multiple complex technical projects, ensuring alignment with business objectives. Responsibilities include collaborating with stakeholders, managing cross-functional teams, tracking progress, managing budgets, and driving continuous improvement while adhering to company policies and promoting a collaborative work environment.

The DevOps Architect will design and implement DevOps solutions, focusing on CI/CD pipelines for various codebases. Responsibilities include managing cloud resources, ensuring deployment processes, and collaborating with cross-functional teams to drive innovation in DevOps practices.

The Senior DevOps Engineer will lead the design and implementation of DevSecOps solutions, manage cloud resources, and oversee CI/CD pipelines while ensuring rigorous deployment processes are followed. The role involves utilizing various cloud technologies and collaborating with cross-functional teams to deliver projects efficiently and effectively.

The job involves the responsibilities of a Quality Analyst within a DevOps team, focusing on ensuring quality in software development and deployment processes.

As a DevOps Engineer at InOrg, you'll learn to implement DevSecOps methodologies, manage build and deployment processes in cloud environments like AWS and Azure, and work with tools such as Terraform and GitLab. This role involves enhancing skills in CI/CD practices, scripting, and participating in Agile projects.

The Senior Technical Architect designs and delivers complex Azure-based projects, ensuring high-quality architectural solutions that meet clients' technology needs. Responsibilities include collaborating with stakeholders, creating data models, deploying cloud solutions, optimizing performance, ensuring compliance, and maintaining security across the Azure platform.

The Lead Data Scientist will lead project teams to craft innovative analytics solutions, utilizing Machine Learning and Deep Learning. Responsibilities include designing sophisticated models, overseeing project delivery, mentoring team members in Python and AI, and collaborating with stakeholders to leverage data for business success.