Neha Chaudhary

• Global Scale & Infrastructure Oversight: Directed the operations and site reliability engineering (SRE) for 30+ mission-critical applications across 7 distinct geographical regions, ensuring maximum availability, minimal latency, and optimal performance.
• Financial Stewardship & Business Impact: Managed a $10M+ operational budget, directly safeguarding customer revenue streams through proactive capacity planning and efficient change management.
• Multi-Cloud Migration Leadership: Spearheaded complex migrations from On-Premise and AWS environments to a multi-cloud architecture, primarily focused on scalable, high-availability Google Cloud Platform (GCP) configurations.
• AI Strategy & Innovation: Drove the enterprise strategy for AI adoption across multiple platforms, successfully implementing AI agents and skills that delivered measurable, data-driven ROI.
• Team Leadership & Global Management: Led and mentored cross-functional and offshore engineering teams, fostering professional growth, implementing automated training frameworks, and optimizing resource delivery.
• Enterprise Observability & Automation: Designed and implemented advanced automated monitoring and self-healing systems, eliminating toil for business-as-usual (BAU) and ad-hoc operations to enhance overall infrastructure reliability.
• Data Security & Governance: Governed large-scale data validation, automated data obfuscation, encryption protocols, and vulnerability scanning to ensure strict compliance across multi-regional data platforms.
• Big Data & Cloud Analytics Engineering: Managed high-throughput data pipelines from legacy mainframes to cloud-native architectures, provisioning dynamically scalable clusters in GCP to support complex Spark, MapReduce, and Hive analytical jobs for VIP clientele.

Key Professional Experience

• Global Infrastructure & SRE Leadership: Directed site reliability engineering (SRE) and 24/7 production support for 30+ mission-critical applications across 7 geographical regions, consistently optimizing availability, latency, performance, and capacity planning.
• Budgetary & Revenue Ownership: Managed a $7M+ operational budget, safeguarding global customer revenue streams through rigorous change management, incident response, and proactive infrastructure stability.
• Multi-Cloud Migration & Architecture: Spearheaded large-scale migrations from On-Premise and AWS environments to highly available, auto-scaling Google Cloud Platform (GCP) configurations.
• Global Team & Vendor Management: Led, mentored, and developed cross-functional onshore and offshore engineering teams; implemented structured training frameworks and optimized resource allocation to support global business units.
• Big Data & Cloud Analytics Engineering: Managed high-throughput data integration pipelines from legacy mainframes to cloud-native platforms, dynamically provisioning GCP clusters to support heavy Spark, MapReduce, and Hive analytical workloads for high-value VIP clients.
• Enterprise Automation & CI/CD: Designed and deployed automated monitoring frameworks and modern CI/CD pipelines to eliminate operational toil for business-as-usual (BAU) and critical deployments.
• Data Governance & Security: Governed large-scale data encryption, automated obfuscation, validation protocols, and vulnerability scanning across complex, multi-source data platforms to ensure strict compliance.
• Legacy Modernization: Critical core infrastructure projects, including OS-level migrations, identity/unique ID generation application support, and database optimizations.

Environment: GCP, AWS, UNIX/Linux, Hadoop (Spark, MapReduce, Hive), Couchbase, WebLogic, Oracle 11i, Nexus, Maven.

Key Professional Experience

• Mission-Critical SRE Leadership: Directed site reliability engineering (SRE), incident management, and 24/7 on-call production support for tier-1 financial applications specializing in fraud/suspicious activity detection, market analysis, and tokenized/encrypted data architectures.
• Multi-Cloud Transformation: Spearheaded the architectural migration of legacy, on-premise infrastructure to a secure, highly available multi-cloud environment utilizing Google Cloud Platform (GCP) and AWS.
• Data Security & Governance: Implemented stringent data security measures across financial data platforms, orchestrating large-scale data obfuscation, tokenization, advanced encryption protocols, and continuous vulnerability scanning.
• Big Data Engineering & Scale: Architected data ingestion feeds from legacy mainframes to cloud-native platforms; provisioned and fine-tuned dynamically scalable GCP clusters to optimize high-throughput Spark, MapReduce, and Hive workloads for high-value institutional clients.
• Enterprise CI/CD & Automation: Formulated enterprise-grade automation frameworks and CI/CD pipelines to streamline deployments, monitor application health, and eliminate operational toil for critical workflows.
• Global Team Management: Led and developed cross-functional onshore and offshore engineering teams, establishing comprehensive training frameworks and managing strategic resource allocation to maintain seamless operations.
• Infrastructure Modernization: Managed complex OS-level migrations, capacity planning, and database tuning to support high-performance scoring engines and customer identity (keying) applications.

Key Professional Experience

• Mission-Critical SRE Leadership: Directed site reliability engineering (SRE), incident management, and 24/7 production support for high-stakes financial applications specializing in fraud detection, market analysis, and encrypted data architectures.
• Production Governance & Gatekeeping: Served as the primary gatekeeper for the production environment, rigorously enforcing agreed-upon entry/exit criteria, deployment protocols, and change management standards to ensure zero-downtime stability.
• Multi-Cloud Transformation: Spearheaded the architectural migration of legacy infrastructure and mainframe data feeds to highly available, multi-cloud environments across Google Cloud Platform (GCP) and AWS.
• Data Security & Governance: Orchestrated large-scale data obfuscation, tokenization, advanced encryption protocols, and vulnerability scanning to secure customer identity keys and scoring models.
• Big Data Engineering & Modeling: Provisioned and fine-tuned dynamically scalable GCP clusters to optimize high-throughput Spark, MapReduce, and Hive pipelines, executing massive data models and extraction workloads for tier-1 institutional clients.
• Enterprise CI/CD & Monitoring: Formulated automated monitoring frameworks and modern CI/CD pipelines (utilizing Rundeck, Nexus, and Maven) to eliminate operational toil for critical workflows, system maintenance, and OS-level migrations.
• Global Mentorship & Team Management: Managed and developed offshore engineering teams, driving professional growth through structured technical documentation, knowledge transfers, and training management.

Key Professional Experience

This project shifts your focus slightly toward Release Management, Application Support, and Cross-Functional Coordination. Production governance, release orchestration, and client management.

• Production Release & Lifecycle Orchestration: Held end-to-end responsibility for planning, coordinating, and executing software release activities across development, testing, and application support teams, tracking deployments from the initial testing phase through to production.
• Production Governance & Gatekeeping: Served as the strategic gatekeeper for the production environment, rigorously enforcing agreed-upon entry and exit criteria to maintain system stability for core platforms.
• Global Support Architecture: Gathered and documented critical client business requirements to architect and establish a 24/7 offshore production support framework tailored for high-transaction retail applications.
• Incident & Availability Management: Directed comprehensive incident management, system availability tracking, and deployment maintenance protocols across multiple enterprise applications.
• Continuous Process Optimization: Partnered directly with client stakeholders to identify infrastructure improvements, translating business requirements into technical roadmaps focused on automating production support workflows.
• Enterprise Observability & Automation: Spearheaded the implementation of centralized application monitoring and automated infrastructure scripting to streamline business-as-usual (BAU) maintenance and minimize operational downtime.
• Team Leadership & Knowledge Transfer: Facilitated cross-functional alignment across development, QA, and deployment teams; mentored offshore engineers and championed the creation of robust technical documentation.

Environment: UNIX/Linux, Oracle 11i, WebLogic 10, Shell Scripting.

Key Professional Experience

Given that this project involves AT&T’s largest revenue-generating application alongside their critical call center, billing, and IVR ecosystems, your role here is incredibly high-stakes.

• Tier-1 Revenue & Retail Operations Leadership: Directed 24/7 production support and site reliability for AT&T’s highest-grossing application ecosystems , safeguarding core retail storefront sales, bulk commercial transactions, billing/invoicing engines, and call center infrastructure.
• Global Support Architecture: Partnered with business clients to gather operational requirements and architected an international offshore framework to deliver round-the-clock production support for high-transaction retail environments.
• Incident & Availability Management: Managed end-to-end incident response, deployment lifecycles, and system availability across an interconnected web of frontend dashboards, IVR platforms, search engines, and critical upstream/downstream backend applications.
• Continuous Process Optimization: Consulted directly with client stakeholders on strategic infrastructure improvements, translating business feedback into automation initiatives that modernized production support workflows and eliminated operational toil.
• Enterprise Observability & Automation: Formulated comprehensive application monitoring systems and automated infrastructure scripts to drastically reduce system maintenance downtime and ensure seamless application health.
• Offshore Talent Development: Championed cross-functional team growth by leading technical knowledge transfers, training new team members, and creating engineering documentation to maintain service delivery standards.

Environment: UNIX/Linux, WebLogic 10, Oracle 11i, Shell Scripting, Retail & Billing Applications

Key Professional Experience

For this specific project, your strongest selling point is portfolio expansion and scaling an operation.

• Enterprise Portfolio Scaling & Management: Successfully expanded operational scope by onboarding and integrating 15 of AT&T's highest-revenue retail applications—including OPUS (flagship retail/POS platform), SSK (in-store kiosk networks), Phoenix (bulk commercial sales), and EDP (billing/document processing)—into a centralized production support infrastructure.
• Global Support & Resource Architecture: Strategically architected and deployed a 24/7 offshore production support framework tailored to manage the increased scale and strict availability requirements of the expanded 15-application retail portfolio.
• Strategic Client Consultation: Partnered closely with enterprise stakeholders to analyze system workflows, providing tactical recommendations to automate legacy production support processes and drive continuous operational efficiency.
• Talent Onboarding & Knowledge Management: Formulated comprehensive technical documentation and spearheaded knowledge transfer initiatives to seamlessly onboard new engineering resources, maintaining service delivery continuity across complex environments.

Environment: UNIX, WebLogic 10, Oracle 11i, Enterprise POS & Billing Applications .