DevOps/SRE Leader for Multi-Cloud Platform Engineering

Pravallika Seelapureddy

DevOps / SRE

Phone Number: +1-407-***-****

Email ID: *************************@*****.***

LinkedIn: linkedin.com/in/seelapureddy-pravallika

PROFESSIONAL SUMMARY

• 7+ years of experience in DevOps, Site Reliability Engineering, and Cloud Platform Engineering across U.S. enterprise environments in banking, healthcare, and retail domains.

• Proven expertise in multi-cloud architecture using AWS, Azure, and GCP with strong hands-on experience in Kubernetes (AKS, EKS, GKE), Docker, and Infrastructure as Code (Terraform, CloudFormation, Bicep).

• Strong background in building and optimizing CI/CD pipelines using Azure DevOps, GitHub Actions, Jenkins, and GitLab to enable automated, secure, and scalable deployments.

• Experienced in production reliability, observability, and incident management using Prometheus, Grafana, ELK, Splunk, Datadog, PagerDuty, and ServiceNow.

• Skilled in cloud migration, platform modernization, and automation using Python, Bash, and PowerShell across hybrid and enterprise environments.

• Hands-on experience implementing DevSecOps practices using SonarQube, Checkmarx, IAM, and policy-driven governance aligned with HIPAA and financial compliance standards.

• Proven ability to improve system availability, deployment efficiency, and operational stability by partnering with cross-functional engineering, security, and cloud platform teams in large-scale U.S. production environments.

• Extensive experience designing and supporting Kubernetes-based platform engineering solutions for microservices, API platforms, and enterprise workloads.

• Strong expertise in incident reduction, automation, and reliability engineering, driving improvements in uptime, MTTR, and release stability.

• Experienced in multi-cloud governance, FinOps, and cost optimization strategies, enabling scalable and cost- efficient cloud adoption across enterprise environments. TECHNICAL SKILLS

• Cloud Platforms: AWS (EKS, EC2, IAM, VPC, ALB/NLB, CloudWatch, Route53, S3, Lambda, RDS) Microsoft Azure

(AKS, Azure DevOps, Azure Monitor, Log Analytics, API Management, Cosmos DB, Azure AD, Automation Runbooks)

Google Cloud Platform (GKE, Cloud SQL, Cloud Monitoring, GCP IAM, Billing APIs)

• Containerization & Orchestration: Kubernetes (EKS, AKS, GKE) Docker Helm Kustomize Podman (evaluation)

Autoscaling (HPA, VPA, Cluster Autoscaler) Service Mesh (Linkerd)

• CI/CD & GitOps: Jenkins GitHub Actions Azure DevOps GitLab CI Spinnaker Argo CD FluxCD Blue/Green

& Canary Deployments YAML-based Reusable Pipelines

• Infrastructure as Code & Automation: Terraform CloudFormation ARM Templates Azure Bicep Packer Python Bash PowerShell Ansible Azure Automation Runbooks

• Observability & Monitoring: OpenTelemetry Prometheus Grafana Datadog Splunk ELK Stack Azure Monitor Log Analytics Application Insights CloudWatch

• Reliability & Operations (SRE): SLIs SLOs Error Budgets Incident Response Root Cause Analysis (RCA) On- call Operations Runbooks Capacity Planning Performance & Load Testing (JMeter, k6)

• Security & Compliance: IAM Best Practices HashiCorp Vault AWS Secrets Manager Trivy Snyk SonarQube Checkmarx SBOM Generation Sigstore / Cosign Encryption Audit Logging HIPAA & Financial Compliance

• Governance & Platform Controls: OPA / Gatekeeper Kyverno Release Gates Policy-as-Code Cloud Governance

Cloud Center of Excellence (CCoE) FinOps CloudHealth Cost Management

• Version Control & Collaboration: Git Azure Repos GitHub GitLab Jira ServiceNow

• Operating Systems & Databases: Linux (RHEL, Ubuntu) SQL Databases RDS Cloud SQL Cosmos DB PROFESSIONAL EXPERIENCE

Client: Citi Bank - Tampa, Florida March 2025 - Present Role: Sr. Cloud DevOps Engineer

• Built and owned multi-stage CI/CD for .NET and Java workloads using Azure DevOps and GitLab, improving release flow with multi-path deployments, Release Gates, and rollback handling, and standardizing delivery using reusable YAML pipeline templates across teams.

• Supported containerized deployments across hybrid Linux environments by installing and managing Docker (and evaluating Podman for rootless use cases), coordinating deployments across x86 and ARM system configurations, and enabling consistent packaging and rollout practices for Linux-based platforms.

• Provisioned and maintained Azure infrastructure for multi-region deployments using ARM templates and Terraform, while administering Azure Repos, Pipelines, and Release Gates to keep deployments secure, controlled, and aligned with enterprise delivery standards.

• Automated operational workflows and infrastructure validation using Python 3 and PowerShell, embedding automation into release pipelines and using Azure Automation Runbooks for scheduled patching, reporting, and backup routines; created a shared PowerShell automation toolkit that significantly reduced repetitive manual tasks.

• Integrated quality and security controls into delivery pipelines by implementing SonarQube and Checkmarx quality gates, ensuring code health and security checks were enforced before production deployments.

• Implemented production observability and platform monitoring using Azure Monitor, Log Analytics, and Datadog, creating dashboards and alert rules for proactive detection; supported AKS releases using Helm, partnered with the Cloud Center of Excellence (CCoE) on governance, and maintained high availability through routine updates, patching, and infrastructure refactoring.

Client: Optum - Eden Prairie, MN Jan 2024 to Feb 2025 Role: Site Reliability Engineer

• Ensured high availability and reliability of healthcare applications supporting claims, patient data, and provider integrations by implementing SLIs, SLOs, and error budgets.

• Managed AWS (EKS, EC2, S3, Lambda, CloudWatch) cloud infrastructure and automated provisioning using Terraform and infrastructure-as-code practices.

• Administered Kubernetes and Docker environments, handling container orchestration, scaling, and microservices deployments.

• Built and maintained CI/CD pipelines using Jenkins and GitHub Actions; implemented blue-green and canary deployments to improve release stability.

• Implemented observability and monitoring using Prometheus, Grafana, Splunk, and ELK; improved alerting, logging, and system performance visibility.

• Led incident management and production support using PagerDuty and ServiceNow; conducted RCA and automated operational tasks using Python and Bash.

• Performed performance tuning, capacity planning, and load testing using JMeter/k6 while ensuring HIPAA-aligned security, audit logging, and compliance standards. Client: Kroger - Dallas, TX Feb 2023 to Dec 2023

Role: DevOps / Cloud Engineer

• Led modernization of container platforms by transitioning on-prem Kubernetes workloads to Azure AKS and Google Kubernetes Engine (GKE), enabling automated multi-cloud deployments using FluxCD GitOps pipelines.

• Engineered identity, API, and data platform services using Azure AD, API Management, Cosmos DB, and GCP Cloud SQL, provisioning environments through Terraform and Azure Bicep to maintain cross-environment consistency.

• Streamlined cross-cloud infrastructure operations by integrating Ansible with Jenkins for automated provisioning, patching, and configuration management, improving scalability and reducing manual overhead.

• Developed reusable Terraform modules supporting AKS, GKE, VNet/Cloud VPC peering, and Cosmos DB/Cloud SQL replication to standardize infrastructure deployment patterns.

• Built enterprise-grade CI/CD workflows using GitHub Actions, Azure DevOps, and Spinnaker, embedding governance through OPA Policy-as-Code controls.

• Implemented secure service-to-service communication across multi-cloud clusters using Linkerd Service Mesh for enhanced traffic management and encryption.

• Established unified observability by integrating Azure Monitor, GCP Cloud Monitoring, and OpenTelemetry, supported by Application Insights dashboards for performance visibility and latency optimization.

• Standardized hybrid platform provisioning by creating pre-configured golden images using Packer and Terraform for consistent environment builds.

• Strengthened identity and access governance through automated provisioning using Azure AD RBAC and GCP IAM, ensuring secure multi-cloud access management.

• Enabled financial governance and cost optimization by implementing CloudHealth with GCP Billing APIs, providing consolidated FinOps metrics and cloud spend visibility. Client: ICICI Bank - Hyderabad, India Feb 2021 to Dec 2022 Role: Cloud Engineer

• Designed and managed AWS (EC2, S3, RDS, VPC, IAM, CloudWatch, Lambda) cloud infrastructure to support digital banking and payment platforms with high availability.

• Led migration of on-prem workloads to AWS using lift-and-shift and re-platforming approaches; automated provisioning using Terraform and CloudFormation (IaC).

• Built and maintained CI/CD pipelines using Jenkins and Git to enable automated build, test, and deployment of banking applications.

• Deployed and managed containerized applications using Docker and Kubernetes (EKS) for scalable microservices environments.

• Implemented monitoring and observability using CloudWatch, ELK, Prometheus, and Grafana for performance tracking, alerting, and system health visibility.

• Strengthened security using IAM, VPC, encryption, and audit logging aligned with banking compliance requirements.

• Automated operational tasks and supported incident management, troubleshooting, and RCA using Python and Bash to improve system stability and reduce downtime. Client: Accenture - Hyderabad, India April 2018 – Jan 2021 Role: Site Reliability Engineer

• Owned reliability and operational stability for enterprise applications running on cloud-hosted Linux environments, supporting multiple production systems used by global users while ensuring consistent uptime and performance.

• Worked closely with application teams to define and track service-level indicators and objectives, using production data to guide reliability improvements and support informed release and scaling decisions.

• Supported cloud infrastructure operations on AWS/Azure by monitoring compute, storage, and network behavior, assisting with environment stability, capacity planning, and performance tuning as application usage increased.

• Built and maintained observability using a combination of monitoring dashboards, centralized logging, and alerting tools (such as Prometheus/Grafana and Splunk/ELK), improving visibility into service health and reducing time spent diagnosing issues.

• Actively participated in incident management and on-call rotations, coordinating with development, infrastructure, and network teams to restore services during outages, followed by root-cause analysis and corrective action tracking.

• Automated repetitive operational tasks using Python and Bash scripting, improving consistency in routine checks, deployments, and recovery steps, and reducing manual effort for day-to-day support activities.

• Supported release readiness and scalability efforts by assisting with performanfce testing, load validation, and infrastructure optimization, helping teams prepare systems for peak traffic and business-critical events. EDUCATION

• Masters of Science in Business Analytics TRINE University – Dec 2024

• Bachelor of Technology (B.Tech) KL University Vijayawada – May 2018

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