Srujan Reddy Manthur
Dallas, TX • 945-***-**** • ******************@*****.*** • linkedin.com/in/srujanreddymanthur
Cloud/Decision Engineer (Pega & Azure DevOps)
Sr. Pega Developer and Cloud/Decision Engineer specializing in Pega architecture, Pega CDH, DevOps, and cloud-native delivery for banking, telecom, and financial services specializing in Next-Best-Action strategies, engagement policies, real-time decisioning. Designed and delivered unified CDH solutions across 5 European markets and built data-driven decisioning using Python, SQL to support personalized customer interactions and campaigns. Improved deployment speed by 60% within 1 year by rolling out a unified Pega CDH with advanced NBA across 5 European markets and implementing full CI/CD with Azure DevOps, Terraform, and Kubernetes.
WORK EXPERIENCE
AT&T (Contract) Dallas, TX • 04/2025 - Present Cloud/ Decision Engineer
•Led Pega and Azure DevSecOps automation initiatives over 6 months, standardizing CI/CD workflows that reduced manual effort by 40% and improved release reliability across multi-environment pipelines.
•Implemented advanced DevSecOps controls within one year by integrating SAST/DAST and dependency scanning into Azure DevOps pipelines, enforcing secure build gates and aligning Zero Trust security practices.
•Strengthened REST API security by implementing OAuth2, Managed Identities, and Azure API Management, achieving a 30% reduction in security vulnerabilities across Pega and microservices ecosystems.
•Developed Python scripts to automate deployment validation and CDH data quality checks, integrating results into Azure DevOps pipelines and dashboards.
•Orchestrated AKS deployments using Docker and Helm, executing Blue-Green and Canary deployments that decreased production downtime by 35% and enabled safer rollout strategies.
•Improved observability within 9 months by deploying Azure Monitor and Application Insights for logs, metrics, and distributed tracing, cutting incident resolution time by 40% through proactive insights and root-cause analysis.
Tata Consultancy Services • Hyderabad, India • 07/2021 - 07/2023 System Engineer- Pega Decisioning & Integrations
•Designed and delivered Pega CDH strategies, adaptive models, and inbound/outbound campaigns with advanced NBA decisioning for five European markets (Netherlands, Ireland, Spain, Czech Republic, Albania) within 9 months, standardizing Context Dictionary (Customer, Household, Subscription) models to cut integration errors by 35%.
•Wrote PostgreSQL queries to build Household, Customer and Subscription views powering CDH decision strategies, improving accuracy of Next-Best-Action eligibility and propensity models.
•Developed and optimized Pega decision strategies, adaptive models, inbound & outbound campaigns, interaction history, and complex case/data flows, integrating with Kafka and Docker-based services to lower cross-system transaction latency by 25% for high-volume workloads.
•Configured and tuned Pega rules (flows, activities, data transforms, reports, services, SLA’s) in line with Pega guardrails for decision making and case management workloads.
•Implemented end-to-end CI/CD for Pega using Azure DevOps, Jenkins, automated RAP packaging, Ansible, and Docker, integrating SonarQube-based guardrail and code-quality checks and automated Pega Test Suite regression, improving deployment reliability and cutting release cycle time by up to 70%.
Mindtree • 06/2019 - 06/2021 Azure DevOps Engineer
•Designed and implemented Pega applications and reusable components (case types, data pages, activities, rulesets, agents) on Pega 7.x/8.x with Git-based source control, RBAC, and REST/SOAP integrations via Azure API Management, improving integration reliability and reuse by 30–40% within one year.
•Built and customized Pega UI (sections, harnesses, portals) and end-to-end case management flows with assignments, SLA’s.
•Integrated Pega with external systems using REST/SOAP services and connectors through API’s, handling JSON payloads.
•Tuned Pega performance using PAL, DB Trace, and SMA, and automated environment configuration, rule packaging, and deployments using Ansible and Jenkins/Azure DevOps pipelines, increasing throughput, reducing release time, and supporting L2/L3 production optimization.
SKILLS
Pega Expertise
Activities, Agents, Case Management, CDH (Customer Decision Hub), Context Dictionary, Data Pages, Data Transform, Flows, Pega UI
Decision Rules, Declare Rules, Flows, Guardrails Compliance, Listeners, Performance Tuning (PAL, DB Trace, SMA), Queue Processing, Reports, Services, SLA Management, Smart Investigate
NBA Designer, Context Dictionary, Engagement Policies, Interaction History, Data Flows, Arbitration, Propositions Treatment Channels, Inbound & Outbound Campaigns.
Integrations
Connect-REST, Connect-SOAP, File Listeners, Kafka, MQ/JMS, REST, SOAP, SQL
Cloud Platforms
AWS (basic), Microsoft Azure: App Services, Azure Functions, AKS, Virtual Machines, Storage, Networking, Monitor, Key Vault, Active Directory (Entra ID)
DevOps & CI/CD
Azure DevOps (YAML/Classic), GitHub Actions, Jenkins, SonarQubelibrary+1
Infrastructure & Containers
IaC: ARM Templates, Bicep, Terraform; Containers: Docker, Helm Charts, Kubernetes (AKS); Networking: ACR, Load Balancers, VNet
Scripting & Version Control
Python, SQL, PostgreSQL, Azure CLI, Bash, PowerShell, Shell; Version Control: Azure Repos, Git, GitHub
Security & Backup
Security: Key Vault, Managed Identities, Entra ID, RBAC; Backup: Azure Backups, Veeam
SDLC & Agile
CI/CD Automation, Code Reviews, Grooming, Release Management, Retrospectives, Sprint Planning
EDUCATION
Master of Science: Information Technology & Management
Arkansas Tech University • Russellville, AR • GPA: 3.62 • 08/2025
Bachelor of Science: Electronics & Communication Engineering
B V Raju Institute of Technology • GPA: 3.24 • 05/2021 CERTIFICATIONS
Pega Certified Senior System Architect (CSSA)
Pega Certified System Architect (CSA)
Pega Certified Decisioning Consultant (CPDC)