IN_Senior Associate_Data Engineering_Emerging Business_Advisory_Bangalore

Job Description & Summary: We are seeking a highly skilled and a Senior AWS DevOps Engineer to join our dynamic team. The ideal candidate will be responsible for architecting, building, and maintaining scalable and secure DevOps solutions on AWS. This includes architect & automate infra provisioning on AWS, designing robust CI/CD pipelines, managing Kubernetes clusters, implementing infrastructure as code, and ensuring system reliability through proactive monitoring and observability practices. 

This role demands deep expertise in AWS cloud services, infrastructure automation, container orchestration, and modern DevOps practices to drive operational excellence and innovation. The candidate must have hands-on experience with foundational AWS services such as EC2, S3, Networking Services (VPC, ELB, Route 53 etc.), ECS, Fargate, Lambda, and DevOps pipelines. They should be capable of configuring various AWS services at the infrastructure level using best practices and exposing appropriate endpoints. 

Responsibilities: 

• Architect & Automate Infra provisioning on AWS cloud for Compute, Storage, Networking, Database & Data services. 

• Design, build, and maintain CI/CD pipelines using tools like Jenkins, GitHub Actions, GitLab, or AWS CodePipeline for automated and seamless deployments. 

• Manage Kubernetes clusters, including deployment, scaling, and lifecycle management of containerized applications. 

• Implement infrastructure as code using Terraform or AWS CloudFormation to automate provisioning and management of cloud infrastructure. 

• Configure and manage foundational AWS services such as EC2, S3, ECS, Lambda, and VPC with best practices, ensuring secure and scalable architecture. 

• Provide appropriate service endpoints and documentation for infrastructure components. 

• Ensure system reliability and uptime through proactive monitoring, alerting, and incident management. 

• Leverage cloud-native tools and services across AWS to optimize infrastructure and application performance. 

• Develop and maintain automation scripts using Python, Shell, or other scripting languages to streamline operational tasks and improve system efficiency. 

• Implement and manage observability tools such as AWS Cloudwatch,  Grafana and Prometheus to monitor system performance and troubleshoot issues effectively. 

• Set up dashboards and alerts to provide actionable insights into system health and performance. 

• Collaborate with development and operations teams to ensure seamless integration and delivery of applications. 

• Conduct performance tuning, cost optimization, and security hardening of AWS environments. 

• Participate in architectural reviews and provide recommendations for continuous improvement. 

Mandatory skill sets: 

AWS Cloud (Compute, Storage, Networking, Database and Data Services), GitHub Actions, GitLab, Kubernetes, Terraform / AWS CloudFormation, Linux, Prometheus, Grafana, Python 

Preferred skill sets: 

PowerShell Scripting, Groovy, AWS AI Services - Amazon SageMaker, AWS Bedrock 

Years of experience required: 

4-8 Years 

Education qualification: 

BE/B.Tech/MBA/MCA