DevOps Engineer

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🕒 April 1

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Apptiva Core Technologies

WebsiteLinkedInAll Job Openings

51 - 200 employees

☁️ SaaS

🏢 Enterprise

SaaS • AI • Enterprise

Apptiva Core Technologies is a company specializing in technological solutions, offering a wide range of services including customized software development, UX/UI design, cloud services, digital transformation, IoT (Internet of Things), AI and machine learning solutions, and technological training for enterprises. The company focuses on integrating, maintaining, and scaling IT resources with agile, DevOps-based methodologies to provide dynamic services tailored to competitive markets. Apptiva emphasizes client-centric approaches with intuitive and business-aligned solutions, expertise in public, private, and hybrid clouds, and innovative IoT technologies to enhance automation and data generation. Additionally, they offer strategic digital transformation and remote learning platforms to optimize business processes and costs.

📋 Description

• Collaborate with product development teams. • Focus on automating builds via CI/CD pipelines and getting code into production efficiently. • Support services before they go live via system design consulting. • Develop software platforms and frameworks, capacity planning and launch reviews. • Use automation to scale systems sustainably and improve reliability, speed and security. • Work with IT Product teams to deploy newer software versions in Cloud resources. • Collaborate with DevOps teams to ensure new environments meet requirements and best practices.

🎯 Requirements

• MANDATORY: Strong knowledge managing Jenkins. • Strong knowledge writting Helm templates to deploy resources in OpenShift 4.X. • Experience creating docker images (Dockerfiles and S2I). • Experience deploying resources and managing them in Kubernetes/OpenShift. • Experience in Git and Gitflows. • Experience in Linux. • ADVANCED English level • NICE TO HAVE: Knowledge deploying resources in AWS using Terraform. • Knowledge architecting solutions in AWS. • Knowledge in code analysis tools (Sonarqube and GHAS) and creating performance tests (Jmeter). • Scripting using Python, Bash or similar.