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Infrastructure Software Engineer - Azure Cloud Services

Symbiosis Management Consultants
8 - 12 Years
Delhi NCR

Posted on: 28/05/2026

Job Description

Role : Infrastructure Software Engineer


Experience : 8+ Years

Industry Type : Automobile


Employment Type : Full Time, Permanent


Department : IT & Information Security


Education : B.Tech / B.E. in Any Specialization


Role Overview :


We are looking for an experienced Infrastructure Software Engineer with strong expertise in cloud infrastructure, distributed systems, automation, and modern data platforms. The ideal candidate should possess a problem-solving mindset with the ability to independently drive solutions in complex environments. This role requires deep technical knowledge in Azure cloud services, infrastructure automation, edge/cloud computing, and scalable platform engineering.


Key Responsibilities :


- Design, develop, and manage scalable, secure, and fault-tolerant cloud and hybrid infrastructure systems.

- Build and maintain distributed infrastructure platforms across cloud and edge environments.

- Develop and implement Infrastructure-as-Code (IaC) solutions using Terraform and Ansible.

- Create, manage, and enforce infrastructure governance policies using Sentinel.

- Automate infrastructure provisioning, deployment, and operational workflows.

- Manage and optimize Azure cloud environments, ensuring high availability and performance.

- Design and maintain containerized environments using Docker and related technologies.

- Develop automation scripts and tooling using Python and Bash scripting.

- Build and support event-driven architectures and modern data platform solutions.

- Collaborate with cross-functional teams to improve infrastructure reliability, scalability, and security.


- Troubleshoot infrastructure, networking, and system performance issues across environments.

- Implement and maintain CI/CD pipelines and DevOps best practices.

- Work with data pipeline orchestration tools such as Dagster.

- Ensure adherence to security, compliance, and operational best practices across infrastructure projects.

- Support edge computing deployments and optimize hybrid cloud integrations.


Key Result Areas :


- Ensure high availability and reliability of cloud and distributed infrastructure systems.

- Drive infrastructure automation and reduce manual operational efforts.

- Improve infrastructure scalability, performance, and deployment efficiency.

- Maintain secure and compliant cloud environments through governance policies.

- Enhance system observability, monitoring, and incident response capabilities.

- Optimize infrastructure cost management and resource utilization.

- Strengthen CI/CD implementation and deployment automation processes.

- Improve operational efficiency through scripting, tooling, and process automation.

- Deliver robust and resilient infrastructure solutions aligned with business goals.

- Support modernization initiatives for cloud-native and hybrid platform architectures.


Required Skills & Competencies :


- Strong expertise in Azure cloud services and infrastructure management.

- Extensive experience with Terraform and Ansible.

- Proficiency in Sentinel policy creation and implementation.

- Strong knowledge of Docker and containerization technologies.

- Advanced Linux administration and Bash scripting skills.

- Strong programming skills in Python.

- Experience with distributed systems and cloud-native architectures.

- Understanding of edge computing concepts and hybrid cloud infrastructure.

- Solid knowledge of networking concepts including DNS, DHCP, TLS/HTTPS, and routing.

- Experience with data orchestration and pipeline tools such as Dagster.

- Familiarity with event-driven architectures and data mesh systems.

- Understanding of DevOps practices, CI/CD pipelines, and automation frameworks.

- Strong troubleshooting, analytical, and problem-solving capabilities.

- Ability to work independently with a proactive go and figure it out mindset.

- Excellent collaboration and communication skills.


Preferred Qualifications :


- Experience in the Automobile or Manufacturing industry is preferred.

- Exposure to Kubernetes and orchestration platforms is an added advantage.

- Knowledge of monitoring and observability tools is desirable.

- Experience with security best practices and cloud governance frameworks.

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