Assistant Manager

• Job Role: Business Analytics-Analytics
• Experience (In Years): 3-6
• Job Location: gurugram

.Experience implementing container orchestration using Kubernetes / EKS.

· Knowledge of cost optimization, FinOps practices, and cloud governance.

· Exposure to multi-account AWS setups using Control Tower, Organizations, or Landing Zone.

· Familiarity with logging and observability tools such as CloudWatch, Grafana, Prometheus, or ELK.

· Experience working with cross-functional agile teams in a consulting environment.

Responsibilities

Design, build, and manage scalable AWS infrastructure including EC2, EKS, Lambda, API Gateway, VPCs, IAM, Security Groups, Load Balancers, and routing components.

· Implement Infrastructure-as-Code (IaC) using Terraform/ AWS CDK to automate provisioning, scaling, and environment management.

· Set up and manage DevOps pipelines using GitHub, GitHub Actions, CodeBuild, CodeDeploy and ArgoCD to support automated build, test, and deployment workflows.

· Collaborate with data engineering teams to support infrastructure components such as AWS Glue, Databricks on AWS/Azure, DynamoDB, and Redshift.

· Collaborate with developers to manage scalable DevOps processes for seamless development.

· Utilize AWS Well-Architected Framework principles to design secure, reliable, cost‑efficient, and high-performing solutions.

· Partner with business and technical stakeholders to understand requirements and develop solutions

· Monitor, optimize, and troubleshoot cloud environments to ensure high availability, resilience, and operational excellence.

· Contribute to establishing DevOps best practices, reusable templates, and standard operating procedures across engagements.

Qualifications

Bachelor degree, Strong hands-on experience in AWS services across compute, security, networking, databases, and serverless architectures.

· Proficiency in Infrastructure-as-Code

· Practical experience designing and maintaining CI/CD pipelines

· Working knowledge of data engineering ecosystems and tools (e.g., Databricks, AWS Glue, Redshift).

· Solid understanding of cloud architecture patterns, DevOps workflows, automation, and monitoring practices.