Help & Supportcareers@gravityer.com
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Devops Engineer with 4+ years in AWS Cloud & CI/CD Automation
To obtain a challenging position as an AWS DevOps Engineer in a growth-oriented organization where I can utilize my expertise in AWS Cloud, DevOps practices, CI/CD automation, Infrastructure as Code, containerization, and monitoring solutions to contribute towards organizational success while continuously enhancing my technical and professional skills. Having around 4+ years of IT/Software industry experience as an AWS DevOps Engineer with expertise in AWS Cloud and DevOps technologies. Experienced in designing, implementing, and maintaining scalable cloud infrastructure on AWS. Hands-on experience with CI/CD pipeline implementation using Jenkins and GitHub Actions. Proficient in Infrastructure as Code (IaC) using Terraform and AWS CloudFormation. Strong knowledge of Docker and Kubernetes. Experienced in monitoring and logging using CloudWatch, OpenSearch, Grafana, and Prometheus. Good understanding of AWS services including EC2, IAM, VPC, S3, Lambda, and CloudWatch. Strong understanding of Agile methodologies and collaborative development lifecycle processes. AWS Certified Solutions Architect Associate.
Unknown
Bachelor of Technology · Electronics and Communication Engineering
N/A – June 30, 2019
Nubes Opus Pvt Ltd
Software Developer
December 1, 2021 – Present
India
HedgewithAI – AI Based Trading & Investment Platform
December 1, 2021 – Present
HedgewithAI is an AI-powered stock market trading and investment platform developed for users who want simplified access to stock market strategies and investment guidance through web and mobile applications. The platform enables users to subscribe to AI-generated trading strategies, market insights, and stock recommendations without requiring deep market expertise. Roles & Responsibilities: • Designed and managed AWS cloud infrastructure. • Implemented CI/CD pipelines using Jenkins and GitHub Actions. • Automated infrastructure provisioning using Terraform. • Managed Docker containers and Kubernetes deployments. • Configured CloudWatch, OpenSearch, Grafana, and Prometheus. • Managed IAM users, roles, and security policies. • Automated tasks using Shell Scripting and Python. • Worked with Linux servers, Nginx, and Apache Tomcat.
AWS Certified Solutions Architect - Associate
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience with a single professional project, 'HedgewithAI', demonstrates depth in DevOps practices within an AI/investment platform domain. The listed responsibilities and technologies align very well with a DevOps Engineer role, indicating a strong cultural fit for organizations seeking expertise in AWS, CI/CD, IaC, and containerization. The breadth of skills covers core DevOps areas, suggesting adaptability to various technical challenges. However, the limited diversity in project types makes it difficult to assess broader cultural adaptability.
Soft Skills & Operational Fit
The candidate's resume highlights experience with Agile methodologies and collaborative development lifecycle processes, indicating a good operational fit for modern DevOps environments. The project description for 'HedgewithAI' suggests an ability to work on complex, AI-driven platforms, demonstrating problem-solving and adaptability. However, specific soft skills like teamwork, leadership, or conflict resolution are not explicitly detailed.