Senior Cloud DevOps Engineer

Job Description Experience: 7.00 + years Salary: Confidential (based on experience) Expected Notice Period: 15 Days Shift: (GMT+05:30) Asia/Kolkata (IST) Opportunity Type: Remote Placement Type: Full Time Permanent position(Payroll and Compliance to be managed by: Montar AI) (*Note: This is a requirement for one of Uplers client - Montar AI) What do you need for this opportunity Must have skills required: - Contributions to open-source projects or technical blogging in cloud/DevOps spaces., Ansible) andGitOps tools (e.g., ArgoCD, CDK, Certifications such as AWS Certified DevOps Engineer, Experience withservice mesh technologies (e.g., Familiarity with additional laCtools (e.g., Flux)., GDPR, Google Professional Cloud DevOps Engineer, Knowledgeofcompliance frameworks likeSOC2, Linkerd) and edge computing., lstio, or Azure DevOps Engineer Expert., orHIPAAin cloudcontexts., Setup and deploy Al models using Azure Al Foundry and Gemini Vertex Al and automate the deployment of models for multiple organizations., Azure DevOps, Docker, Kubernetes Montar AI is Looking for: We're seeking a seasoned Senior Cloud DevOps Engineer to join our Infrastructure team and drive the automation and optimization of our cloud ecosystems. Job Summary - As a Senior Cloud DevOps Engineer, you will lead the design, implementation, and maintenance of robust, scalable cloud infrastructures with a focus on Azure DevOps for end-to-end application deployment and automation. Utilizing your expertise in Infrastructure as Code (laC) tools like Terraform, you will configure shared VPNs and manage version-controlled infrastructure deployments. This role is pivotal in enabling our engineering teams to deploy reliably while ensuring security and performance at enterprise scale. Key Responsibilities - Architect and manage multi-cloud environments (e.g., AWS, Azure, GCP) with a focus on hybrid and multi- cloud strategies, including shared VPN configurations for secure connectivity and optimal resource utilization. - Develop and maintain laC using Terraform to provision, configure, and version-control cloud resources, including networking (e.g., shared VPN setup), compute, storage, and security components. - Design, implement, and optimize Cl/CD pipelines with Azure DevOps to automate end- to-end application deployments across diverse cloud platforms, incorporating testing, artifact management, and rollback mechanisms. - Lead the setup of end-to-end cloud infrastructure, from initial provisioning to monitoring and scaling, ensuring high availability, auto-scaling, and disaster recovery capabilities, with Terraform-managed access controls. - Collaborate with development, security, and operations teams to integrate observability tools (e.g., Prometheus, Grafana, ELK stack) and enforce best practices for infrastructure security and compliance (e.g., 1AM, encryption, audit logging). - Perform capacity planning, performance tuning, and cost optimization for cloud workloads, leveraging tools like cloud-native cost management services. - Mentor junior engineers, conduct code reviews, and contribute to the evolution of DevOps practices, including adoption of GitOps principles. - Troubleshoot complex issues in production environments, conducting root-cause analysis and implementing preventive measures. - Stay abreast of emerging cloud technologies and contribute to proof-of-concepts for new tools or methodologies. Qualifications Required: - Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent experience). - 7+ years of hands-on experience in DevOps, SRE, or Cloud Engineering roles, with at least 3 years focused on multi-cloud environments. - Expert-level proficiency in Terraform for laC, including advanced features like state management, modules, and cross-cloud abstractions. - Deep expertise in automating deployments via Azure DevOps, including workflows for multi-stage pipelines, secrets management, and integration with cloud SDKs/APls. - Proven track record in setting up scalable, end-to-end cloud infrastructures, including VPCs, Kubernetes clusters, serverless architectures, and load balancing, with a focus on shared VPN configurations. - Strong understanding of containerization (Docker, Kubernetes) and orchestration in multi-cloud setups. - Experience with monitoring, logging, and alerting tools (e.g.,Datadog, New Relic, CloudWatch). - Excellent problem-solving skills, with the ability to handle high-pressure situations in production systems. Preferred: - Certifications such as AWS Certified DevOps Engineer, Google Professional Cloud DevOps Engineer, or Azure DevOps Engineer Expert. - Familiarity with additional laCtools (e.g.,CDK, Ansible) andGitOps tools (e.g., ArgoCD, Flux). - Experience withservice mesh technologies (e.g., lstio, Linkerd) and edge computing. - Knowledge of compliance frameworks likeSOC2,GDPR,orHIPAAin cloudcontexts. - Contributions to open-source projects or technical blogging in cloud/DevOps spaces. - Setup and deploy Al models using Azure Al Foundry and Gemini Vertex Al and automate the deployment of models for multiple organizations. How to apply for this opportunity - Step 1: Click On Apply And Register or Login on our portal. - Step 2: Complete the Screening Form & Upload updated Resume - Step 3: Increase your chances to get shortlisted & meet the client for the Interview About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you