Rajeev Shukla

2015 to 2019 · Client: Windstream Communications (Telecom)

• Delivered full-stack Java application features for Windstream Communications, a US broadband and telecom provider, implementing business logic across customer management, billing, and service provisioning domains.
• Built and maintained backend services using Spring MVC, Hibernate, Struts 2, and GWT, translating complex telecom business rules into robust, testable application logic.
• Developed and consumed REST and SOAP web services to integrate Windstream's internal systems with downstream billing, provisioning, and CRM platforms.
• Used Redis and Kafka for caching and asynchronous messaging, improving throughput on high-volume customer data processing workflows.
• Containerised application components with Docker and participated in early microservices decomposition of the legacy monolith.
• Managed build and release pipelines using TeamCity, and conducted peer code reviews through Fisheye and Crucible, maintaining code quality across the team.
• Worked closely with business analysts and QA teams to deliver sprint commitments consistently in an Agile environment.

2019 to Present · Client: T-Mobile (Telecom)

• Progressed through increasingly senior roles on multiple T-Mobile programmes, ultimately serving as Software Architect on the Eligibility Hub platform and Lead Engineer on the Promotions domain.
• Architected and delivered cloud-native microservices on AWS, handling millions of device eligibility transactions and promotional campaign executions using Lambda, Step Functions, Kafka, EventBridge, SQS, and DynamoDB.
• Implemented Cognito-based authentication flows securing customer-facing APIs, and built notification pipelines using SNS and SES for transactional and promotional messaging at scale.
• Designed secure VPC architecture with subnetting, route tables, security groups, and NAT gateways, ensuring compliant network isolation in multi-tenant AWS environments.
• Led engineering teams through full delivery cycles covering requirements breakdown, system design, code review, deployment, and post-release monitoring.
• Implemented end-to-end observability with OpenTelemetry, Grafana, and CloudWatch, enabling real-time alerting and faster incident resolution across distributed services.
• Conducted technical interviews, mentored engineers, and served as the escalation point for complex architectural decisions across the team.

• Translated complex business requirements into technical designs and full-stack implementations using Java EE, Spring MVC, Hibernate, and REST Web Services.
• Owned end-to-end development across multiple product modules, covering high-level architecture, low-level design, coding, testing, and production deployment.
• Maintained production stability by proactively monitoring application logs, diagnosing issues, and implementing fixes with minimal downtime.
• Evaluated feasibility of new feature requests and integrated approved enhancements into existing systems without disrupting live workflows.

• Developed enterprise Java applications from scratch, handling requirements analysis, system design, and full-cycle implementation using Core Java and Java EE.
• Delivered reliable software releases through rigorous bug diagnosis, regression testing, and coordinated deployment to production environments.
• Gained foundational experience in enterprise software delivery, version control with SVN, and cross-team collaboration.

• Joined GlobalLogic to work on-site with Windstream Communications, a major US broadband and enterprise telecom provider, contributing to their core customer management, billing, and service provisioning applications.
• Implemented complex telecom business logic across multiple product modules including customer account management, service order processing, and billing rule engines using Spring MVC, Hibernate, and Struts 2.
• Built rich browser-based UIs using GWT (Google Web Toolkit) for internal tools, and integrated frontend components with backend REST and SOAP services.
• Used Kafka for asynchronous event processing and Redis for session and data caching, improving responsiveness of customer-facing workflows under high load.
• Containerised services with Docker and contributed to early microservices decomposition from the legacy Java EE monolith.
• Maintained CI/CD pipelines with TeamCity and enforced code quality through structured peer reviews using Fisheye and Crucible.

• Leading backend engineering for T-Mobile's Promotions domain, designing and delivering services that power promotional offers, eligibility rules, and campaign execution for millions of T-Mobile subscribers.
• Architecting event-driven microservices using Kafka and EventBridge to decouple promotion lifecycle events from downstream billing and notification systems.
• Collaborating with product, business, and platform teams to translate complex promotion business rules into scalable, testable service logic.

• Served as Software Architect, responsible for High-Level Design (HLD) and Low-Level Design (LLD) of the entire eligibility platform, defining service boundaries, data contracts, API specifications, and infrastructure topology before a line of code was written.
• Designed a device eligibility platform that evaluates promotion eligibility for T-Mobile's customer base in real time, handling high-volume concurrent requests with sub-second latency targets.
• Architected a serverless orchestration layer using AWS Step Functions and Lambda, replacing a brittle synchronous flow with a resilient, retryable state machine and significantly reducing eligibility check failures.
• Designed an event-driven data pipeline using Kafka, EventBridge, and SQS to decouple eligibility logic from upstream CRM and inventory systems, enabling asynchronous processing and improved fault isolation.
• Defined the observability strategy using OpenTelemetry, Grafana, and CloudWatch, covering distributed tracing, SLO dashboards, and real-time alerting across all service boundaries.
• Optimised read performance using Elasticache (Redis) as a caching layer in front of DynamoDB, eliminating redundant lookups and reducing p99 response times under peak load.

• Part of a large-scale post-merger migration programme transitioning millions of Sprint customers onto T-Mobile's billing and account management platform, one of the largest telecom migrations in US history.
• Designed and implemented Java microservices responsible for customer data transformation and validation, mapping Sprint account structures, rate plans, and billing cycles to T-Mobile equivalents with zero data loss tolerance.
• Built event-driven processing pipelines using SQS and Kafka to handle high-volume customer record migrations asynchronously, with full retry and dead-letter handling for reliable at-scale execution.
• Worked closely with billing, account management, and QA teams to resolve edge cases in data mapping and ensure a seamless customer experience post-cutover.

• Worked on a machine learning and big data initiative to detect billing anomalies across T-Mobile's subscriber base, identifying erroneous charges, revenue leakage, and irregular billing patterns at scale.
• Used SparkR on a distributed big data environment to run statistical models against large volumes of billing transaction data, enabling anomaly detection that would not be feasible with traditional query-based approaches.
• Contributed to feature engineering, model execution pipelines, and integration of anomaly signals into downstream billing correction workflows.
• Gained hands-on experience with Apache Spark and distributed computing in a production telecom environment handling billions of billing records.