Help & Supportcareers@gravityer.com
Devops Engineer with 3+ years in AWS, Azure, Kubernetes & CI/CD.
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 3.5+ years of experience in automating deployments, optimizing CI/CD pipelines, and scaling Kubernetes-based cloud infrastructure. Skilled in AWS, Azure, Docker, Jenkins, Kubernetes, ArgoCD, and monitoring solutions. Proven success in reducing deployment time, improving uptime, and enhancing developer productivity through automation and cloud-native practices. Strong background in Infrastructure as Code (Terraform, Ansible) and cloud security practices, with hands-on expertise in integrating security scans and code quality tools into CI/CD pipelines. Adept at collaborating with cross-functional teams and driving DevOps best practices across the software development lifecycle.
Sinhgad College of Science
Bachelor of Computer Science · Computer Science
August 1, 2019 – June 30, 2022
CloudMoyo India Pvt. Ltd
DevOps Engineer
November 1, 2022 – Present
Pune, Maharashtra, India
Cloud-Native Retail Microservices Applications (E-commerce Domain)
June 29, 2026 – Present
Designed and deployed a cloud-native retail microservices application on AWS, focusing on scalability, automation, and high availability using Kubernetes and CI/CD best practices. Designed and provisioned highly available AWS infrastructure using Terraform, following Infrastructure as Code (IaC) best practices. Deployed and managed microservices-based retail applications on Amazon EKS, handling services such as catalog, cart, and order processing. Built and optimized CI/CD pipelines using Jenkins to automate code build, testing, Docker image creation, and deployments. Implemented Docker multi-stage builds and pushed optimized images to Amazon ECR. Deployed applications using Kubernetes manifests and Helm charts, enabling environment-specific configuration and easy version management. Implemented GitOps workflows using ArgoCD to automate deployments and maintain Git as the single source of truth. Configured rolling deployments and rollback strategies to ensure zero-downtime releases during frequent updates. Implemented Horizontal Pod Autoscaling (HPA) to handle traffic spikes typical of retail workloads. Monitored cluster health, application performance, and ingress traffic using Prometheus and Grafana. Worked closely with developers to troubleshoot deployment issues and improved application performance in Kubernetes.
Unified Risk & KYC Decisioning Platform (FinTech / RegTech Domain)
June 29, 2026 – Present
Built and automated a cloud-native Risk & KYC decisioning platform for banks and fintechs, enabling secure identity verification, fraud detection, and real-time risk assessment using Azure-managed and containerized services. Developed and managed CI/CD pipelines using Jenkins, integrating automated build, test, and security scans for KYC and risk-processing microservices. Containerized application services using Docker and deployed them on Azure Kubernetes Service (AKS) using Kubernetes manifests and Helm charts. Executed GitOps-based deployments using ArgoCD, ensuring declarative, auditable, and consistent releases across environments. Arranged secure image management by pushing Docker images to Azure Container Registry (ACR) with systematized tagging using commit hashes. Supervised sensitive KYC and identity data using Azure Blob Storage, Azure SQL Database, enforcing encryption and IAM least-privilege access. Set up monitoring, logging, and alerting using Prometheus, Grafana, and Azure Monitor Supervised Kubernetes deployments, rollbacks, health checks, and sync policies using the ArgoCD dashboard. Collaborated with development and security teams to ensure compliance, audit logging, and production readiness.
Cultural Fit Analysis
The candidate's project diversity across e-commerce and FinTech/RegTech domains, coupled with experience in both AWS and Azure, suggests adaptability and a broad technical interest. Their focus on automation, CI/CD, and GitOps aligns well with modern DevOps culture. The explicit mention of collaboration with development and security teams indicates a team player mindset, which is crucial for cultural fit in a DevOps role. The breadth of skills and tools used also points to a continuous learning and growth-oriented individual.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through their detailed project descriptions, highlighting problem-solving, automation, and efficiency improvements. Their experience in collaborating with development and security teams indicates good cross-functional communication and a team-oriented approach. The emphasis on reducing manual errors, optimizing deployments, and improving system reliability points to a proactive and detail-oriented work attitude.