Cloud & DevOps Engineer - AWS - Azure - Kubernetes, IaC, CI/CD

Abhishek Soppanna

DevOps Engineer

Open to Relocate ********.**********@*****.*** 716-***-**** LinkedIn SUMMARY

DevOps Engineer with 5+ years of experience designing, automating, and managing cloud-native infrastructure across AWS and Azure platforms. Proven expertise in IaC using Terraform, Azure Bicep, and Ansible, combined with deep proficiency in Kubernetes (EKS/AKS), Docker, and CI/CD pipeline automation using GitHub Actions, Jenkins, and Azure DevOps. Strong background in monitoring and observability with Prometheus, Grafana, and Azure Monitor, driving measurable reductions in MTTR and performance bottlenecks. Adept at Python scripting for automation, FinOps optimization, and security compliance (PCI-DSS, IAM, Vault, KMS). Recognized for implementing scalable, reliable, and secure systems that improve operational efficiency, and cross-functional collaboration in Agile/Scrum environments. PROFESSIONAL EXPERIENCE

Stripe DevOps Engineer CA September 2024 – Present

• Designed, deployed, and managed a multi-region Kubernetes (EKS) platform on AWS, using Ansible for configuration management and Helm for package orchestration; achieved 99.9% uptime and supported a 15% growth in transaction volume.

• Collaborated with Machine Learning and Quantitative teams to deploy GPU-accelerated infrastructure using AWS SageMaker and EKS, reducing model inference latency by 20% and improving workflow efficiency.

• Integrated vulnerability scanning tools (Trivy) and policy-as-code (Open Policy Agent) into CI/CD pipelines via GitHub Actions, enforcing security and compliance standards to prevent unauthorized or non-compliant deployments.

• Developed Python automation scripts leveraging scikit-learn and TensorFlow for predictive infrastructure failure detection, cutting incident response time by 30% and improving overall system reliability.

• Built comprehensive monitoring, alerting, and FinOps dashboards using Prometheus and Grafana to track application KPIs, system performance, and cloud cost allocation, reducing MTTR by 25% and uncovering cost optimization opportunities.

• Optimized high-availability PostgreSQL and Redis clusters on AWS RDS and ElastiCache, implementing automated backups, performance tuning, and connection pooling to ensure data integrity and uptime for payment systems. Databricks DevOps Engineer CA November 2023 – August 2024

• Engineered Infrastructure as Code (IaC) solutions with Terraform and Azure Bicep, automating provisioning of complex Azure environments including AKS clusters, App Services, and Virtual Networks, ensuring repeatable deployments across multiple teams.

• Designed, developed, and maintained scalable CI/CD pipelines using Azure DevOps (YAML) to automate build, test, and deployment workflows for microservices, reducing manual effort and accelerating release cycles by 15%.

• Containerized and deployed distributed applications using Docker and Azure Kubernetes Service (AKS), improving portability, scalability, and environment consistency across staging and production.

• Collaborated in Agile/Scrum teams, leveraging Git-based version control (branching, pull requests) to enhance collaboration, code quality, and continuous integration workflows.

• Implemented end-to-end monitoring and alerting solutions with Azure Monitor and Log Analytics, enabling real-time performance tracking and proactive issue resolution, cutting MTTR by 20%. Paytm DevOps Engineer India June 2019 – July 2022

• Built and maintained CI/CD pipelines leveraging Jenkins, GitLab CI, Argo CD, and Docker, enabling daily deployments and improving release reliability by 25%, supporting scalable software delivery across engineering teams.

• Automated Linux configuration and developed Python-based operational tools, reducing manual effort by 20% and minimizing common vulnerabilities.

• Designed and automated DR strategies for high-availability payment systems using Terraform and AWS CloudFormation, achieving Recovery Time Objectives (RTOs) within SLA thresholds and ensuring business continuity for mission-critical workloads.

• Led Site Reliability Engineering (SRE) initiatives for the UPI payment gateway, deploying Prometheus and PagerDuty, and implementing observability best practices to achieve high service availability and reduce incident resolution time by 15%.

• Implemented PCI-DSS-compliant IAM policies, AWS KMS encryption, and HashiCorp Vault to strengthen cloud security. TECHNICAL SKILLS

Cloud Platforms: AWS (EC2, S3, RDS, Lambda, Fargate, EKS, DynamoDB), Azure (AKS, Azure Monitor, Azure DevOps, Azure SQL, Sentinel) Infrastructure as Code (IaC): Terraform, AWS CloudFormation, Azure Bicep, ARM Templates, Ansible, Helm CI/CD & DevOps Tools: Jenkins, GitLab CI/CD, GitHub Actions, Azure DevOps, AWS CodePipeline, Docker, Kubernetes (EKS, AKS, OpenShift) AI & Automation Tools: Large Language Models (LLMs – GPT-4, Claude), AI-driven Incident Response, Predictive Anomaly Detection Monitoring & Logging: Prometheus, Grafana, ELK Stack, CloudWatch, Application Insights, OpenTelemetry, PagerDuty, Splunk, AppDynamics Programming & Automation: Python, Bash, PowerShell, AI-based Automation, Predictive Anomaly Detection Databases & Storage: PostgreSQL, MySQL, MongoDB, DynamoDB, Oracle, SQL Server Security & Compliance: IAM Policies, Policy-as-Code, OS Hardening, HashiCorp Vault, AWS Secrets Manager, PCI-DSS Compliance Methodologies & Tools: GitOps, Blue-Green Deployments, Site Reliability Engineering (SRE), Agile (Scrum, Kanban), Power BI, Excel EDUCATION

Master’s in Computer Science Stevens Institute of Technology, New Jersey, USA. Bachelor’s in Computer Science GSRM University, Tamil Nadu, India.

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