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A leading technology services firm is seeking a Senior DevOps Engineer to design and maintain high-performance DevOps pipelines. This role requires strong hands-on experience with Docker and Kubernetes across multi-cloud environments. Responsibilities include developing CI/CD automation, troubleshooting performance issues, and evaluating emerging DevOps tools. The ideal candidate will have excellent communication skills and a passion for automation, supported by a solid background in building and running Docker containers. This position offers hybrid work options situated in Hauts-de-France, France.
Qualitest is the world’s leading managed services provider of AI‑led quality engineering solutions. It helps brands transition through the digital assurance journey and make the move from conventional functional testing to adopt innovations such as automation, AI, blockchain, and XR.
Qualitest’s core mission is to mitigate business risks associated with digital adoption. It fulfills this through customized quality engineering solutions that leverage Qualitest’s deep, industry‑specific knowledge for various sectors, including technology, telecommunications, finance, healthcare, media, utilities, retail, manufacturing, and defense. These scalable solutions protect brands through end‑to‑end value demonstration with a focus on customer experience and release velocity.
Qualitest has offices in the United States, United Kingdom, Germany, Israel, Romania, India, Mexico, Portugal, Switzerland, and Argentina. It employs more than 7,000 engineers who serve over 400 customers worldwide.
Job Title: Senior DevOps Engineer
Experience Range: 6–10 Years
Job Location: Bangalore, Chennai, Hyderabad, Noida or any location with Hybrid
We are seeking a Senior DevOps Engineer with strong hands‑on experience in containerization, Kubernetes orchestration (EKS, AKS, GKE), and CI/CD automation using GitLab. The ideal candidate will play a key role in designing, implementing, and maintaining scalable, secure, and high‑performance DevOps pipelines across multi‑cloud environments (AWS, Azure, and GCP).