Summary
Overview
Work History
Skills
Technical Skills
Timeline
Generic

Anjali U

Dallas

Summary

Accomplished Senior Software Engineer with 10+ years of proven success in architecting, leading, and delivering enterprise-scale solutions across healthcare, finance, telecom, and smart infrastructure. Demonstrated expertise in backend engineering with Java (6–17), Spring Boot, Spring MVC, and Spring WebFlux, complemented by advanced proficiency in modern front-end frameworks including React 17, Angular 17, and Vue.js to deliver high-performance, user-centric applications. Designed and directed cloud-native, distributed architectures on AWS and Azure, leveraging Lambda, EC2, S3, Glue, Redshift, Step Functions, App Services, Key Vault, and Cosmos DB to achieve scalability, resiliency, and cost optimization. Spearheaded DevOps modernization initiatives, implementing enterprise-grade CI/CD pipelines, infrastructure as code (Terraform, Ansible), containerization (Docker, Kubernetes, OpenShift), and deployment automation (GitHub Actions, Jenkins, ArgoCD) to enable continuous delivery and zero-downtime releases. Led data engineering and integration strategies, orchestrating real-time ETL pipelines with Apache Airflow, Kafka, RabbitMQ, and AWS Glue, while optimizing data lakes and warehouses in Redshift, Snowflake, and Hadoop ecosystems. Championed MLOps adoption, operationalizing advanced AI/ML capabilities through AWS SageMaker, Azure ML, Hugging Face, and LLM APIs, embedding explainable AI (SHAP, MLflow) and RAG-based pipelines into business workflows to enhance decision intelligence. Directed observability and resilience engineering by institutionalizing proactive monitoring, distributed tracing, and log aggregation with CloudWatch, Grafana, Prometheus, ELK Stack, Splunk, and Dynatrace, ensuring mission-critical uptime. Enforced rigorous security and compliance standards with OAuth 2.0, OpenID Connect, JWT, IAM, HashiCorp Vault, KMS, SonarQube, and Checkmarx, safeguarding sensitive data and aligning with regulatory frameworks. Recognized as a strategic technical leader and mentor, driving Agile/Scrum delivery, cross-functional collaboration, and engineering best practices, while aligning complex technology roadmaps with organizational goals to deliver scalable, secure, and future-ready digital platforms.

Overview

10
10
years of professional experience

Work History

Software Engineer

Paycom
Dallas
08.2023 - Current
  • Collaborated on a modernized benefits and payroll platform that streamlined enrollment workflows, improved data accuracy, and enabled real-time decision-making for end users.
  • Resolved issues related to form delays and session timeouts by optimizing user flows and back-end processing.
  • Worked closely with cross-functional teams to reduce manual errors, enhance plan selection experiences, and improve overall transparency and scalability, resulting in measurable gains in performance, usability, and user satisfaction.
  • Deployed ML models in Amazon SageMaker Studio v3.0, personalizing benefit plans and increasing adoption rates.
  • Trained classification models in SageMaker to predict high-risk opt-out users, enabling proactive retention strategies.
  • Applied SHAP v0.44 for explainable AI, ensuring interpretability and compliance transparency in ML predictions.
  • Integrated SageMaker Real-time Inference Endpoints into Angular 17 UI, delivering contextual recommendations during benefit selection.
  • Automated ML workflows using SageMaker Pipelines v2.0 + AWS Step Functions, ensuring continuous retraining with live data.
  • Built an AI-powered chatbot using AWS Lambda + SageMaker JumpStart, reducing support tickets by 35% and improving self-service with multi-turn dialog + AWS Comprehend.
  • Architected a standardized form-handling framework using Angular 17 Reactive Forms, enabling 6+ product teams to enforce consistent validations and reducing cross-team user input errors by 40%.
  • Led the creation of a shared Angular Material v17 component library (modals, route guards, forms) adopted across multiple squads, cutting redundant development effort by 25% and ensuring design consistency across the enterprise UI.
  • Directed a front-end refactoring initiative by introducing functional programming standards in Angular/TypeScript v5.2, reducing defect-prone code by 30% and accelerating onboarding of new developers through consistent patterns.
  • Implemented Virtual Scrolling (Angular CDK v17) for benefit comparisons, cutting DOM load and improving performance for large datasets.
  • Secured navigation using Angular Router v17 + Route Guards, preventing unauthorized access and preserving workflow state.
  • Enhanced live user interactions with RxJS v7.8 debouncing/throttling, optimizing API calls and reducing backend load.
  • Reduced initial load time by 35% with lazy loading of Angular modules and on-demand route-based rendering.
  • Established a UI testing strategy with Jasmine v5 & Karma v7, integrating test coverage thresholds into CI/CD pipelines and coaching engineers, which lifted coverage to 85%+ and reduced production UI regressions by 30%.
  • Designed and implemented Spring Boot v3.1 RESTful APIs with layered architecture, improving modularity and maintainability.
  • Built event-driven systems using Apache Kafka v3.6, streaming real-time benefit updates across distributed services.
  • Optimized high-traffic pipelines via Kafka Consumer Groups v3.6, reducing lag and boosting throughput by 50%.
  • Published audit and compliance events using Spring Boot Kafka Producers, enabling real-time analytics.
  • Architected a Node.js v20 + Express.js middleware layer as an API gateway, enforcing security standards and optimizing request handling, which cut API response latency by 35% across Angular and backend services.
  • Implemented JWT (RFC 7519) + OAuth2.1 authentication in Spring Boot, enabling role-based API security.
  • Designed MongoDB schemas with validation and indexes, cutting query response times by 40% during peak payroll loads.
  • Implemented MongoDB aggregation pipelines, enabling real-time analytics and reducing dependency on batch jobs.
  • Enabled secure file uploads via Amazon S3 Pre-signed URLs (2023 API), bypassing backend bottlenecks for direct cloud transfers.
  • Built async pipelines with Amazon SQS v3 SDK + AWS Lambda (Node.js runtime), decoupling workloads and improving scalability.
  • Cached tokens and sessions in AWS ElastiCache (Redis v7.0), reducing redundant logins and improving continuity.
  • Provisioned infrastructure with Terraform v1.6 (IaC), eliminating manual provisioning errors and ensuring consistency.
  • Configured AWS CloudWatch Logs & Metrics v2.13, enabling proactive anomaly detection and reducing recovery time.
  • Controlled API/UI access with AWS Cognito Roles v2.0, dynamically tailoring features for different user roles.
  • Containerized microservices with Docker v24 and orchestrated deployments on Kubernetes v1.28, ensuring high availability.
  • Designed standardized Helm v3.13 chart templates to manage 50+ Kubernetes workloads, enabling version-controlled, repeatable deployments and reducing rollout failures by 40% across environments.
  • Mentored 6+ junior developers, standardizing code review practices and introducing design patterns that reduced defect rates by 25% across squads.
  • Facilitated cross-team architecture reviews, aligning UI, backend, and DevOps squads on shared standards and reducing rework by 30%.
  • Enabled payroll processing for 15k+ enterprise clients, implementing zero-downtime deployments and improving SLA adherence from 95% → 99.9%.
  • Architected an event-driven microservices framework using Kafka and Spring Boot, adopted enterprise-wide to process 5M+ payroll transactions with near real-time reliability.
  • Environment: Angular 17, Node.js, Spring Boot, Java 8, Spring WebFlux, Python, Maven, Gradle, Swagger, Spring Boot Actuator, AWS Lambda, Amazon SQS, Apache Kafka, Jenkins, GitHub Actions, Terraform, Docker, Kubernetes, OpenShift, Amazon ECS, AWS KMS, AWS Secrets Manager, Amazon SageMaker, AWS Step Functions, Amazon Redshift, AWS Glue, SQL, Redis, NoSQL, CloudWatch, Grafana, ELK Stack, Splunk, Application Insights

Senior Software Engineer

Kaiser Permanente
San Leandro
03.2019 - 11.2022
  • Collaborated on enhancing the provider search functionality within a healthcare benefits platform, addressing member frustration caused by outdated directories, limited filtering options, and incomplete provider profiles.
  • These issues often resulted in incorrect provider selections, delayed care, and elevated support requests.
  • Partnered with cross functional teams to implement real-time provider data integration, glocalization-based search, and advanced filtering by specialty, language, and availability.
  • The improvements significantly increased search accuracy, reduced user friction, and enabled members to make timely, confident decisions regarding their healthcare providers—ultimately improving engagement, service delivery, and operational efficiency.
  • Transformed a broken enrollment platform into a React 17 SPA with React Router, enabling guided workflows, reducing user drop-offs, and eliminating full-page reloads.
  • Built custom React Hooks and centralized validation logic with the Context API, reducing duplication and simplifying maintenance of multi-step forms.
  • Applied lazy loading and dynamic imports in React, minimizing payload sizes and optimizing first paint times for smoother UI performance.
  • Used React Hook Form with JSR-380 backend validations, ensuring strict data integrity across frontend and backend.
  • Solved mobile rendering issues with Bootstrap 4.6 and Bootstrap 5, creating consistent responsive layouts and improving accessibility across devices.
  • Prevented form progress loss by combining React useEffect, LocalStorage, Azure Redis, and Spring Session, preserving user state during reloads and timeouts.
  • Added React Error Boundaries and structured fallback messages, improving transparency and reducing user frustration during submission failures.
  • Streamlined session management using Azure Redis and Spring Session, enabling persistent user state across reloads and reducing form abandonment.
  • Implemented Kafka consumers and producers for real-time event processing in benefit selection workflows, enabling decoupled service communication and reducing latency.
  • Optimized MongoDB queries with compound indexes and caching, cutting data retrieval times by 35% and improving provider search experience.
  • Built Node.js APIs for advanced provider search filters, directly integrating with MongoDB collections and ensuring accurate, scalable lookups under heavy load.
  • Optimized backend queries using PostgreSQL with connection pooling and prepared statements, enhancing performance and preventing SQL injection.
  • Secured sensitive credentials with HashiCorp Vault across Spring Boot microservices, enabling centralized secret management, rotation, and compliance.
  • Prevented duplicate transactions by adding idempotent request handling and token validation in Spring Boot APIs, ensuring single-source-of-truth submissions.
  • Enforced RBAC (Role-Based Access Control) with OAuth 2.0 and Spring Security, dynamically rendering protected UI elements based on user identity.
  • Secured infrastructure secrets using Azure Key Vault and AWS Parameter Store, safely injecting values into Spring Boot microservices.
  • Resolved large file upload failures with Azure Blob SDK (chunked uploads) and Amazon S3 Pre-signed URLs, enabling seamless uploads over unstable networks.
  • Deployed backend microservices on Azure App Services and enabled real-time health monitoring using Spring Boot Actuator endpoints.
  • Improved UI responsiveness under backend load by offloading tasks with Apache Kafka queues, enabling real-time interactions.
  • Enhanced backend scalability by tuning Spring Boot thread pools and implementing Kafka retry queues, ensuring smooth peak-load performance.
  • Created environment separation with Spring Profiles and modular React config, ensuring safe transitions across Dev, QA, and Prod.
  • Built automated CI/CD pipelines using Azure DevOps, Spring Boot Buildpacks, AWS CodeBuild, and AWS CodePipeline, reducing release errors.
  • Centralized logging with SLF4J (backend) and React console wrappers (frontend), improving production debugging and traceability.
  • Implemented detailed monitoring with AWS CloudWatch, AWS CloudTrail, and Spring Boot Actuator, enabling proactive detection and traceability.
  • Ensured reliability with unit & integration tests using JUnit, Mockito, and React Testing Library, providing regression coverage.
  • Scaled benefits platform to serve 1M+ users, reducing provider search errors by 40% and cutting member support calls by 25%.
  • Established observability standards using Grafana, ELK, and Splunk, enabling proactive detection of 90% of incidents before end-user impact.
  • Defined API security governance with OAuth 2.0, JWT, and HashiCorp Vault, ensuring HIPAA and SOC2 compliance across all healthcare services.
  • Led knowledge-sharing sessions for 4 cross-functional squads, aligning UI, API, and DevOps practices with enterprise compliance mandates.
  • Environment: React 17, Java 8, Spring Boot, Spring WebFlux, Kafka, Azure, CI/CD, Azure DevOps, Docker, AKS, OAuth 2.0, Spring Security, Microservices, PostgreSQL, Hibernate, Redis (Azure Cache), Azure Key Vault, Azure Blob Storage, Azure App Services, Azure ML, LLM APIs, RAG (Retrieval-Augmented Generation), JUnit, Mockito, React Hook Form, Bootstrap 4.6, React Router, LocalStorage API, JSR-380, DTOs, Monitoring, SLF4J, Spring Actuator, Error Boundaries, Agile Scrum

Software Engineer

ICIC Bank
Hyderabad
06.2017 - 03.2019
  • Collaborated on a digital banking platform aimed at improving customer on-boarding, transaction processing, and internal service workflows.
  • Enhanced coordination between customer-facing systems and back-end operations to support faster, more reliable financial services.
  • Worked with business teams to streamline processes, reduce manual effort, and improve the overall customer experience.
  • Contributed to increased operational efficiency, compliance, and customer satisfaction across banking.
  • Evaluated and selected AWS over IBM Cloud during migration, reducing infra costs by 20% and ensuring PCI-DSS compliance.
  • Pioneered Infrastructure-as-Code adoption with Terraform templates, which became reusable standards across multiple banking deployments.
  • Led digital transformation roadmap discussions with stakeholders, aligning migration milestones with compliance audits and SLA objectives.
  • Built real-time monitoring dashboards using Vue.js, integrating telemetry from HVAC and IoT sensors for energy tracking and system diagnostics.
  • Developed back-end services using Spring MVC, REST APIs, and WebSocket endpoints for live data streaming and control command feedback loops.
  • Deployed builds using CI/CD Level 2 with Azure DevOps, supporting fast, automated testing and deployment workflows.
  • Used Terraform to provision AWS resources, including networking, IAM roles, and auto-scaling groups.
  • Conducted RCA investigations for production issues and deployed alerting mechanisms to reduce downtime.
  • Documented infrastructure migration flows and built reusable IaC templates for future site replication.
  • Participated in Agile sprints and collaborated with QA and IoT teams to validate post-migration behavior.
  • Led daily stand-ups and tracked deliverables for cross-team coordination.
  • Enhanced response times by introducing async patterns, connection pools, and streamlining back-end endpoints.
  • Built alerting rules with auto-responses to mitigate system pressure during peak loads.
  • Designed Git branching strategy to support concurrent features and isolated bug-fix deployments.
  • Integrated Application Insights and proactive notifications to reduce MTTR.
  • Provided documentation and architectural onboarding guides to support new developers.
  • Presented metrics dashboards to leadership showcasing energy efficiency gains.
  • Implemented OAuth 2.0 for secured API authentication and leveraged Splunk to track request logs, identify bottlenecks, and troubleshoot API performance issues.
  • Environment: Java 8, Spring Boot, Spring MVC, WebSocket, Lambda Expressions, REST APIs, OAuth 2.0, Python, Vue.js, CI/CD, Azure DevOps, Terraform, AWS (EC2, S3, IAM, Auto Scaling), IBM Cloud (legacy), MongoDB, Oracle, Amazon S3, Splunk, Application Insights, Airflow, Batch Jobs, Asynchronous Programming, Microservices, Git, IaC, Agile, Telemetry Analytics, ETL, IoT Integration

Software Engineer

Ready Computing
Hyderabad
08.2015 - 05.2017
  • Collaborated on a healthcare data integration platform focused on streamlining clinical workflows, patient data exchange, and compliance reporting.
  • Improved coordination between care providers, systems, and support teams to enable timely and accurate healthcare delivery.
  • Partnered with internal stakeholders to refine workflows, reduce data inconsistencies, and enhance system usability.
  • Built microservices-based applications with Spring Framework and Spring Boot, ensuring modularity, scalability, and efficient deployment pipelines.
  • Redesigned clinical data workflows using Java MVC architecture to eliminate inconsistent patient record synchronization across departments, improving coordination and reducing redundant data entry.
  • Standardized SOAP/WSDL integration contracts across departments, ensuring consistent patient data exchange and reducing onboarding time for new integrations by 30%.
  • Directed migration planning for clinical data workflows, engaging business stakeholders to align architecture with compliance reporting requirements.
  • Built dynamic, form-driven interfaces using JavaScript, jQuery, and AJAX to support real-time field validation and improved user experience in departmental workflows.
  • Deployed backend services on JBoss Application Server, ensuring high availability and consistency across multiple environments in a non-cloud, on-premises infrastructure.
  • Automated the build and deployment lifecycle using Maven and GitHub Actions, minimizing manual errors and enabling faster, repeatable delivery of tested code.
  • Followed Test-Driven Development (TDD) practices using Mockito for unit and integration testing, improving code quality and reducing regression issues during updates.
  • Enabled modular SOAP service consumption and publishing through structured WSDLs, allowing departments to access patient data through well-defined service contracts.
  • Monitored system health through custom JBoss logs and health checks, enabling proactive issue detection and maintaining operational stability across integrated services.
  • Collaborated with cross-functional teams to optimize backend logic for healthcare workflows, resulting in faster data access, reduced duplication, and improved user trust in the system.
  • Environment: Java 8, Spring Boot, Spring MVC, SOAP/WSDL, RabbitMQ, JBoss Application Server, Maven, GitHub Actions, JavaScript, jQuery, AJAX, Mockito, TDD, Microservices, Test-Driven Development, Modular Architecture, Asynchronous Messaging, On-Prem Deployment, Health Monitoring, Clinical Data Workflows

Skills

Languages & Scripting: Java (8–21), Python (27/3x), JavaScript (ES6), TypeScript, Kotlin, Scala, C#, GoLang, SQL (PostgreSQL, MySQL, Oracle), PL/SQL, Shell/Bash, YAML, JSON

Front-End Frameworks: Angular (2–17), React (16–18), Vuejs, Nextjs, Redux, RxJS, Tailwind CSS, Bootstrap, Material UI, D3js, Chartjs, Highcharts

Back- End Frameworks: Spring Boot, Spring MVC, Spring WebFlux, Spring Security, Hibernate/JPA, Struts (legacy), Expressjs, Micronaut, Quarkus, Vertx

API & Integration: REST APIs, GraphQL, gRPC, SOAP Web Services, OpenAPI/Swagger, API Gateway (AWS, Apigee, Kong, Azure API Management)

DataBase Storage: PostgreSQL, MySQL, Oracle, SQL Server, MongoDB, Cassandra, DynamoDB, Couchbase, Cosmos DB, Redis, Memcached, Elasticsearch, Solr

Messaging & Streming: Kafka (Producers/Consumers, Streams, Connect), RabbitMQ, ActiveMQ, Amazon SQS/SNS, Azure Service Bus

Cloud Plateforms:EC2, Lambda, S3, API Gateway, Redshift, Glue, EMR, DynamoDB, Cognito, Bedrock, SageMaker, CloudFormation, ECS, EKS, Step Functions, Parameter Store, Secrets Manager, Kinesis

Functions, App Services, Key Vault, Application Insights, Azure Monitor, Service Bus, Cosmos DB, AKS, Azure DevOps

DevOps & CI/CD: Jenkins, GitHub Actions, GitLab CI/CD, CircleCI, Spinnaker, ArgoCD, Tekto, Terraform, CloudFormation, Pulumi, Packer, Ansible, Chef, Puppet, SaltStack, Serverless Framework, Helm, Kustomize

Monitoring & Logging: Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), Splunk, New Relic, Dynatrace, AppDynamics, CloudWatch, Azure Monitor, Datadog

MLOps & ML Tools: SageMaker (Pipelines, JumpStart, Studio), MLflow, Kubeflow, TensorFlow, PyTorch, Hugging Face Transformers, ONNX, Scikit-learn, SHAP, LIME (Explainable AI), LangChain, Vector Databases (Pinecone, FAISS, Weaviate), RAG (Retrieval Augmented Generation), Feature Stores (Feast, Tecton), Model Registry, A/B Testing, Hyperparameter Tuning

ETL & Big Data: Apache Airflow, AWS Glue, Talend, Informatica, NiFi, Spark, Hadoop, Hive, Flink, Snowflake, Databricks

Security & Compliance:OAuth 20, OpenID Connect, JWT, IAM, HashiCorp Vault, AWS KMS, Azure Key Vault, Okta, Ping Identity, SonarQube, Checkmarx, Fortify, Twistlock, Aqua Security, Prisma Cloud, Trivy

Testing & Validation: JUnit, TestNG, Mockito, TestContainers, Pact (Contract Testing), Selenium, Cypress, Playwright, Karate, RestAssured, Postman, Newman, Jasmine, Karma, Jest

Collaboration Tools: Git, GitHub, GitLab, Bitbucket, Jira, Confluence, Trello, Slack, Microsoft Teams, Miro, Figma

Technical Skills

Java (8–21), Python (2.7/3.x), JavaScript (ES6+), TypeScript, Kotlin, Scala, C#, GoLang, SQL (PostgreSQL, MySQL, Oracle), PL/SQL, Shell/Bash, YAML, JSON, Angular (2–17), React (16–18), Vue.js, Next.js, Redux, RxJS, Tailwind CSS, Bootstrap, Material UI, D3.js, Chart.js, Highcharts, Spring Boot, Spring MVC, Spring WebFlux, Spring Security, Hibernate/JPA, Struts (legacy), Express.js, Micronaut, Quarkus, Vert.x, REST APIs, GraphQL, gRPC, SOAP Web Services, OpenAPI/Swagger, API Gateway (AWS, Apigee, Kong, Azure API Management), PostgreSQL, MySQL, Oracle, SQL Server, MongoDB, Cassandra, DynamoDB, Couchbase, Cosmos DB, Redis, Memcached, Elasticsearch, Solr, Kafka (Producers/Consumers, Streams, Connect), RabbitMQ, ActiveMQ, Amazon SQS/SNS, Azure Service Bus, EC2, Lambda, S3, API Gateway, Redshift, Glue, EMR, DynamoDB, Cognito, Bedrock, SageMaker, CloudFormation, ECS, EKS, Step Functions, Parameter Store, Secrets Manager, Kinesis Functions, App Services, Key Vault, Application Insights, Azure Monitor, Service Bus, Cosmos DB, AKS, Azure DevOps, Jenkins, GitHub Actions, GitLab CI/CD, CircleCI, Spinnaker, ArgoCD, Tekto, Terraform, CloudFormation, Pulumi, Packer, Ansible, Chef, Puppet, SaltStack, Serverless Framework, Helm, Kustomize, Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), Splunk, New Relic, Dynatrace, AppDynamics, CloudWatch, Azure Monitor, Datadog, SageMaker (Pipelines, JumpStart, Studio), MLflow, Kubeflow, TensorFlow, PyTorch, Hugging Face Transformers, ONNX, Scikit-learn, SHAP, LIME (Explainable AI), LangChain, Vector Databases (Pinecone, FAISS, Weaviate), RAG (Retrieval Augmented Generation), Feature Stores (Feast, Tecton), Model Registry, A/B Testing, Hyperparameter Tuning, Apache Airflow, AWS Glue, Talend, Informatica, NiFi, Spark, Hadoop, Hive, Flink, Snowflake, Databricks, OAuth 2.0, OpenID Connect, JWT, IAM, HashiCorp Vault, AWS KMS, Azure Key Vault, Okta, Ping Identity, SonarQube, Checkmarx, Fortify, Twistlock, Aqua Security, Prisma Cloud, Trivy, JUnit, TestNG, Mockito, TestContainers, Pact (Contract Testing), Selenium, Cypress, Playwright, Karate, RestAssured, Postman, Newman, Jasmine, Karma, Jest, Git, GitHub, GitLab, Bitbucket, Jira, Confluence, Trello, Slack, Microsoft Teams, Miro, Figma

Timeline

Software Engineer

Paycom
08.2023 - Current

Senior Software Engineer

Kaiser Permanente
03.2019 - 11.2022

Software Engineer

ICIC Bank
06.2017 - 03.2019

Software Engineer

Ready Computing
08.2015 - 05.2017

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Anjali U