Cognizant

Cloud Engineer

Cognizant

Noida, Uttar Pradesh, India (Hybrid) · Full Time

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Experience
4–6 yrs
Salary
Openings
1
Posted
6 days ago
Work mode
Hybrid
Education
Any graduate
Eligibility
Candidates with any graduate degree are eligible to apply.
Resume
Required to apply

Where you'll work

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Job description

About the Role

We are looking for a Cloud Engineer responsible for architecting, deploying, and fine-tuning containerized workloads and cloud-native services on leading public cloud platforms. The role involves utilizing container orchestration, infrastructure as code, and automation tools to develop secure, reliable, and cost-effective platforms supporting business applications. This position follows a hybrid working model and includes rotational shift responsibilities.

Key Responsibilities

  • Design scalable and highly available cloud architectures employing compute services, managed databases, and container orchestration to support business applications in a hybrid environment.
  • Implement containerized solutions using container platforms and registries ensuring consistent build, packaging, and deployment of microservices across multiple environments.
  • Create and manage infrastructure as code definitions to provision and maintain cloud resources in an auditable, repeatable, and version-controlled fashion.
  • Configure and optimize content delivery networks and load balancing to enhance application performance, resilience, and user experience globally.
  • Build and administer container orchestration clusters ensuring efficient scheduling, resource usage, and seamless service discovery for microservice architectures.
  • Establish and maintain continuous integration and continuous delivery pipelines to automate the build, test, and deployment phases for applications and infrastructure.
  • Configure and manage managed relational database services focusing on security, resilience, and high performance for transactional and analytical workloads.
  • Develop automation scripts using scripting and programming languages to reduce manual efforts, boost reliability, and enforce configuration standards across environments.
  • Use monitoring and advisory tools to identify bottlenecks, optimize costs, detect security gaps, and collaborate with teams for timely remediation.
  • Manage managed machine learning services to facilitate model training, deployment, and monitoring for data-driven products adding value to customers and society.
  • Implement stringent security measures using identity and access management, network configurations, and logging to ensure data protection and regulatory compliance.
  • Work closely with application, operations, and security teams to understand needs, design effective solutions, and guarantee seamless deployments without business disruptions.
  • Provide rotational shift support for both production and non-production environments by resolving incidents, conducting root cause analyses, and initiating preventive actions.

Qualifications

  • Four to six years of hands-on experience as a cloud engineer or in a similar position with solid expertise in containerized applications and managed cloud services.
  • Strong proficiency with container technologies and registries, including experience building, tagging, scanning, and deploying production images.
  • Practical knowledge of compute services, container platforms, and orchestration services covering cluster configuration, node groups, and networking.
  • Understanding of managed relational database services including backup methods, parameter tuning, connectivity design, and fundamental query optimization.
  • Experience with content delivery networks and load balancing focusing on caching, distribution techniques, and secure endpoint setups.
  • Expertise in infrastructure as code using popular tools for managing cloud resources, modules, state, and integration with version control systems.
  • Proficiency in scripting languages and Python for automation related to provisioning, configuration management, monitoring, integration, and operations.
  • Experience with continuous delivery tools and pipelines including artifact repository integration, approval workflows, and container deployment strategies.
  • Knowledge of cloud security best practices, cost control measures, resilience, and governance via advisory tools and monitoring platforms.
  • Prior exposure to IT operations environments including incident and change management along with adherence to service levels is preferred.
  • Excellent communication with cross-functional teams, documenting solutions meticulously, adhering to standardized processes, and contributing to ongoing improvements.
  • Mentality focused on platform reliability, efficiency, sustainability, and alignment with business objectives benefiting customers and society at large.

Preferred Certifications

  • AWS Certified SysOps Administrator – Associate
  • AWS Certified DevOps Engineer – Professional
  • Certified Kubernetes Administrator

Eligibility

Applicants must hold at least a graduate degree.

Minimum education

Bachelor's Degree

How they work

Communication Teamwork & Collaboration Problem Solving Attention to Detail Work Ethic

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