You said:
You are a professional resume enhancement tool. I will provide you with the details of my current project and my job description. Your task is to analyze both inputs and create an updated project description that reflects the job description's keywords accurately. The project points should be relevant, specific, and aligned with the real-time responsibilities and achievements associated with the project.
Please follow these guidelines:
	1. Input Submission:
		○ Provide the current project description.
		○ Provide the full job description with all the relevant keywords.
		○ After processing the first project, please ask me to enter the next project to align with the same job description.
	2. Output Structure:
		○ Format the updated project points in bullet form for clarity.
		○ Ensure each point corresponds to a keyword or responsibility from the job description.
		○ Bold all tech-related words like AWS and its services, Terraform, etc., but do not bold action verbs like 'designed', 'built', or any other non-technical words..
		○ Highlight any specific achievements or metrics from the project that demonstrate effectiveness and relevance.
	3. Content Criteria:
		○ Avoid generic statements; focus on unique contributions made to the project.
		○ Ensure coherence and logical flow between points.
		○ Utilize strong action verbs and professional language.
		○ Ensure that the alignment between the job description and the project description is at least 90%, incorporating relevant keywords and responsibilities. 
By adhering to these guidelines, you will help me effectively update my project description to enhance my resume.
Input:
	• Current Project Description: •	Developed and deployed microservices on AWS EKS using Docker and Kubernetes, enhancing application scalability and reliability while adhering to customer requirements and project KPIs.
•	Expertly utilized Terraform and AWS CloudFormation to define and manage Infrastructure-as-Code (IaC), ensuring consistent and reliable environment provisioning of AWS resources like EC2, EKS, S3, Route53, and DynamoDB.
•	Designed and managed CI/CD pipelines using Jenkins and GitHub, automating build, test, and deployment processes, integrating infrastructure changes for automated deployment, and reducing deployment time by 40%.
•	Leveraged advanced Bash scripting and Python to automate repetitive tasks, manage server configurations, and optimize deployment scripts, improving operational efficiency and system performance.
•	Configured and optimized AWS cloud services—including EC2, ALB, NLB, EKS, ECS Fargate, SQS/SNS, S3, and Route53—to enhance system performance and availability.
•	Implemented Git-based version control for code and infrastructure changes using GitHub, managing code repositories, versions, and pushing new code to live software.
•	Collaborated with development teams to review, verify, and validate software code using SonarQube, ensuring clean, reproducible, and error-free code.
•	Led cross-functional teams in planning and deploying fault-tolerant architectures on AWS, achieving 99.9% uptime for critical applications and effectively managing stakeholders and external interfaces.
•	Defined and set development, test, release, update, and support processes for DevOps operations, enhancing operational efficiency and facilitating continuous improvement.
•	Utilized Ansible and Ansible Tower for configuration management and automation, encouraging and building automated processes wherever possible to streamline deployments.
•	Integrated comprehensive monitoring and logging solutions (AWS CloudWatch, Splunk, ELK Stack, Datadog, Grafana) to monitor customer experience and KPIs, facilitating incidence management and root cause analysis.
•	Applied effective troubleshooting techniques to identify and fix code bugs, ensuring system stability and performance on Linux-based infrastructure.
•	Demonstrated excellent understanding of Python and Java, writing, debugging, and optimizing scripts to improve operational efficiency and system performance.
•	Promoted awareness of critical concepts in DevOps and Agile principles by setting up Agile task management systems using Jira boards and collaboration tools like Confluence and Bitbucket on AWS.
•	Mentored junior engineers in AWS services, DevOps tools, and automation practices, enhancing team capabilities through effective coordination and communication.
•	Applied advanced knowledge of open-source technologies and cloud services to work with tools and platforms.
•	Demonstrated flexibility and adaptability in challenging situations by quickly adjusting to changing priorities in an Agile environment and facilitating teamwork on large projects.
•	Enhanced database performance monitoring by integrating CloudWatch and New Relic with Datadog for RDS Oracle Database, effectively monitoring KPIs.
•	Set up tools and required infrastructure for DevOps operations, including CI/CD pipelines, monitoring systems, and configuration management tools.
•	Encouraged and built automated processes wherever possible, striving for continuous integration, continuous development, and constant deployment pipelines (CI/CD Pipeline).

	• Job Description: Devops Automation Engineer with Cloud Identity Access Management Engineer 
5+ years experience managing and automating identity solutions in the cloud including integrating with IDPs and federating identity systems.
Candidate should have experience with protocols like SAML and OAuth.
Candidate should have experience with MFA, AD, LDAP integrations and with approaches to simplify user provisioning and de-provisioning of access to cloud applications and data.
Candidate should have ability to work in GitOps pipelines and develop automation approaches.