• Designed and implemented CI/CD pipelines in Jenkins integrated with Git and Maven for Java-based applications, automating build, test, and deployment workflows across Dev, Test, and Prod environments.

• Managed AWS infrastructure (EC2, VPC, S3, RDS, ELB, Auto Scaling) using Terraform and AWS CLI, delivering secure, scalable, and cost-optimized solutions for enterprise applications.

• Automated configuration management using Puppet, creating and maintaining manifests/modules to streamline application provisioning and reduce deployment times.

• Deployed and managed Docker containers for microservices in development/testing environments, improving environment consistency and reducing release issues.

• Monitored system performance and application health using AWS CloudWatch, configuring alerts and IAM policies to ensure compliance and proactive incident management.

• Assisted in provisioning AWS cloud infrastructure (EC2, S3, RDS, VPC) with Terraform and AWS CloudFormation, reducing manual setup time for development environments by 40%.

• Contributed to CI/CD pipeline enhancements in Jenkins and GitLab CI, integrating automated testing and deployment steps for secure updates to trading and transaction monitoring services.

• Helped configure and maintain Kubernetes (EKS) clusters for containerized microservices supporting real-time payment processing, ensuring high availability and quick failover.

• Monitored production and staging systems using Prometheus, Grafana, and CloudWatch, generating dashboards to track transaction response times and detect issues proactively.

• Implemented basic security scanning and code quality checks (Snyk, Trivy) within pipelines to meet PCI-DSS compliance and reduce vulnerabilities before deployment.

• Supported secrets management setups via AWS Secrets Manager, removing hardcoded credentials from internal service configurations.

• Wrote automation scripts in Bash and Python for repetitive tasks such as log archiving, deployment triggers, and cloud resource clean-up.

• Coordinated with development and QA teams to troubleshoot build failures and deployment issues in test environments for banking applications.

• Documented environment setup procedures, CI/CD workflows, and troubleshooting guides for team knowledge sharing.

• Assisted in migrating and deploying microservices to Kubernetes clusters (AKS), ensuring optimal pod scheduling, service resiliency, and compliance with deployment standards.

• Actively participated in on-call rotations, responding to critical production alerts, collaborating with SRE teams, and resolving incidents to reduce application latency by 30%.

• Built and maintained CI/CD automation using Jenkins and Azure DevOps, enabling faster release cycles and increasing deployment velocity for banking application teams.

• Integrated performance monitoring with Dynatrace, tuning services and configurations to achieve a 40% improvement in response times for customer-facing apps.

• Partnered with QA and development teams to embed automated testing into the SDLC, improving defect detection and reducing post-release production issues.

• Implemented monitoring/alerting systems using Prometheus and Grafana, reducing system downtime by 50% through proactive detection and resolution of performance bottlenecks.

• Designed, configured, and maintained Azure VNets, subnets, DNS, routing, and network security policies to support secure, compliant banking workloads.

• Configured and maintained Docker (builds, Compose setups) to provide consistent dev/test environments, reducing onboarding time for new developers.

• Engaged in Scrum meetings, sprint planning, and release readiness reviews to align infrastructure deliverables with feature release timelines.

• Architected and deployed secure, high-availability AWS environments for a financial services platform, using EC2 Auto Scaling Groups, Application Load Balancers, and VPC networking — maintaining 99%+ uptime during quarter-end trading peaks.

• Automated multi-tier application provisioning using Terraform and Ansible, reducing environment setup from ~4 hours to under 30 minutes and eliminating configuration drift.

• Built and maintained CI/CD pipelines in Jenkins and GitHub Actions, integrated with Maven for Java microservices and SonarQube for code quality checks — lowering deployment rollbacks by ~40%.

• Migrated legacy banking services to Docker microservices, deploying on Amazon EKS for zero-downtime rolling upgrades and faster production rollback.

• Implemented proactive monitoring using AWS CloudWatch, Splunk, and ELK Stack, reducing MTTR from 90 min to under 50 min for priority-1 incidents.

• Designed granular AWS IAM roles/policies and implemented AWS Config, Security Hub, GuardDuty to maintain PCI-DSS/SOX audit readiness and remediate vulnerabilities automatically.

• Implemented AWS Backup, S3 lifecycle policies, and cross-region replication to ensure RPO of <4 hours for critical financial workloads.

• Managed complex VPC architectures (subnets, route tables, NAT gateways, security groups) to isolate sensitive client data in compliance with financial industry security guidelines.

• Collaborated with developers to introduce CloudFront CDN and ElastiCache for real-time data applications, improving response times by ~20%.

• Created detailed runbooks, architecture diagrams, and SOPs, and actively participated in sprint planning and release readiness to align infrastructure deliverables with client go-live dates.

• Assisted in migrating on-premises workloads to Microsoft Azure (VMs, Blob Storage, AD, SQL DB), delivering a scalable environment for banking and ERP applications.

• Developed ARM templates and Azure DevOps pipelines to automate infrastructure provisioning and deployment processes — cutting setup time from hours to minutes.

• Configured Azure Monitor and Log Analytics for system-wide monitoring, reducing incident detection and response durations by 35%.

• Optimized delivery workflows with Azure DevOps, Jenkins, and GitLab, increasing deployment frequency and reducing human errors during release cycles.

• Managed Azure Kubernetes Service (AKS) clusters for microservices-based applications, improving scalability and optimizing resource utilization.