DevOps Engineer. Arcitech AI Arcitech AI Navi Mumbai, Maharashtra, India Navi Mumbai, Maharashtra, India • On-site • Full-time • 2-5 Years experience required2-5 Years • ₹ (INR) 400000 - 500000 per year Posted Today About Company Arcitech AI, located in Navi Mumbai's bustling Vashi, is a trailblazer in software and IT, specializing in software development, AI, mobile apps, and integrative solutions. Committed to excellence and innovation, Arcitech AI offers incredible growth opportunities for team members. Enjoy unique perks like weekends off and a provident fund. Our vibrant culture is friendly and cooperative, fostering a dynamic work environment that inspires creativity and forward-thinking. Join us to shape the future of technology. Unit No. 15, Ground Floor, E Wing, Phase - I, Akshar Business Park, Sector - 25, Vashi- 400703. Job Description Job Description We are seeking a motivated and enthusiastic DevOps Engineer with 2–3 years of hands-on experience in cloud and DevOps technologies. The ideal candidate will work closely with development and operations teams to support, automate, and optimize the deployment pipeline, cloud infrastructure, and application performance across AWS and Azure environments. Roles & Responsibilities • Deploy, manage, and monitor applications in AWS and Azure cloud environments. • Work with Linux-based systems to ensure reliable performance, configuration, and maintenance. • Build and maintain CI/CD pipelines using modern DevOps tools (GitHub Actions, GitLab CI, Jenkins, etc.). • Create and maintain containerized applications using Docker. • Assist in implementing IaC (Infrastructure as Code) and automation processes. • Troubleshoot infrastructure, deployment, and application-related issues. • Collaborate with development teams to enable smooth DevOps processes. • Write scripts using Bash or Python to automate routine operational tasks. • Participate in continuous improvement of deployment reliability and scalability. Required Skills • 2–3 years of hands-on experience in DevOps or Cloud Engineering. • Practical working knowledge of AWS and Azure cloud services. • Strong understanding and experience with Linux operating systems. • Experience using Docker, Git, and CI/CD pipeline tools. • Basic knowledge of Kubernetes concepts (pods, deployments, services). • Ability to write automation scripts using Bash or Python. • Strong analytical thinking, problem-solving, and troubleshooting skills. Good to Have Skills • Experience with Terraform or other Infrastructure-as-Code tools. • Familiarity with monitoring and logging tools (Prometheus, Grafana, CloudWatch, ELK, etc.). • Understanding of networking fundamentals (TCP/IP, DNS, load balancing, routing). • Exposure to microservices architecture and container orchestration concepts. Job Type • Full-time Location • On-site Salary • As per industry standards
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