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Metro location, mid-level generalist SRE role, and broad cloud-container skills increase applicant competition.
Automotive-specific skills like AUTOSAR, MATLAB, and virtual ECU make background fit highly industry-specific.
Many mandatory cloud, IaC, Kubernetes, security, automotive and MATLAB/AUTOSAR requirements make filters highly strict.
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Own and engineer scalable, secure cloud infrastructure solutions primarily on Microsoft Azure and AWS using IaaS/PaaS models and Infrastructure as Code via Terraform.
Deploy, manage, and secure containerized applications using Docker, Kubernetes (including Amazon EKS), and maintain Helm charts for standardized Kubernetes deployments.
Develop and maintain automation and monitoring solutions including CI/CD pipelines (e.g., Jenkins, GitLab CI), configure Linux-based systems (Ubuntu 22.x+), and ensure operational reliability and security compliance.
Expertise in Microsoft Azure and AWS cloud environments with focus on IaaS/PaaS services (EC2, S3, VPC, RDS, IAM).
Proficiency with Terraform for Infrastructure as Code and container orchestration using Docker and Kubernetes including Helm charts.
Experience with Linux administration (preferably Ubuntu 22.x or higher), scripting in Python, Bash/YAML, and automation tools like Ansible.
Work Experience Required: Not explicitly mentioned in the JD; Location: Bangalore (Hybrid work mode); Mandatory face-to-face interview at Coforge office.
Strong background in cloud engineering with hands-on skills in multi-cloud environments (Azure and AWS) and Infrastructure as Code best practices.
Experience in automotive domain, especially with electric vehicle (EV) systems, AUTOSAR architecture, virtual ECU simulation tools (Silver from Synopsys, Vector virtual target), and software validation frameworks.
Capable of managing end-to-end CI/CD pipelines involving static code analysis, code coverage, and integration of software validation using GitLab, Jenkins, and scripting with Git/SVN version control.