Bernie Smith
Senior Full-Stack Software Engineer
Newark, NJ • 707-***-**** • **************@*****.***
• https://www.linkedin.com/in/bernie-smith-b345b77b SUMMARY
Senior Full-Stack Software Engineer with 15 years of experience delivering end-to-end user-facing and backend systems across consumer technology, cloud identity platforms, mobility, and enterprise consulting. Proven expertise building high-performance React/TypeScript frontends paired with scalable backend services in Node.js, .NET, Java, and Python. Experienced owning products from UI architecture and UX performance through API design, distributed systems, and cloud-native infrastructure on AWS, Azure, and Kubernetes. Strong track record optimizing frontend responsiveness, backend reliability, and operating production services with SLO/SLA ownership while mentoring engineers in Agile teams. PROFESSIONAL SKILLS
Frontend & UI Engineering:
• React, Next.js, Angular, AngularJS
• TypeScript, JavaScript (ES6+)
• HTML5, CSS3, Responsive Design
• Client-Side Performance Optimization
• Component Architecture & Reusable UI
Systems
Cloud, DevOps & Systems:
• AWS, Azure, Kubernetes, Docker
• CI/CD, Terraform, Helm, GitOps
• Kafka, Redis
• PostgreSQL, MySQL, MongoDB
Backend & API Engineering:
• Node.js, Python (Django, Flask, FastAPI)
• Java (Spring Boot), C#, ASP.NET Core, .NET
Core
• Ruby on Rails
• REST APIs, GraphQL
• Microservices, Event-Driven Architecture
Quality, Delivery & Observability:
• Agile/Scrum, TDD, Code Reviews
• System Design & Architecture
• Prometheus, Grafana, Datadog, PagerDuty
• Performance Optimization & Reliability
PROFESSIONAL EXPERIENCE
Apple
Senior Software Engineer Jul 2022 – Present
• Architected high-throughput backend services and API contracts supporting iCloud storage and sync infrastructure serving 100M+ active users across 175 countries, processing 2.5B daily device sync operations with sub-500ms latency.
• Built event-driven microservices using Java (Spring Boot) and Python handling 1B+ daily events (photo uploads, document changes, app data sync) with exactly-once delivery guarantees and zero data loss.
• Designed real-time conflict resolution for concurrent edits across devices using vector clocks and operational transformation, reducing sync conflicts by 67% and improving experience consistency.
• Implemented Kafka streaming data pipelines processing 800TB/day telemetry, slashing analytics latency from 6 hours to 8 minutes (45% improvement) and enabling near real-time product insights.
• Led migration of 22 legacy monolithic services to Kubernetes on AWS with Helm charts and GitOps workflows, improving deployment frequency from bi-weekly to daily (60% increase) and reducing production incidents by 30%.
• Designed and implemented React + TypeScript frontend experiences for internal and partner-facing dashboards, enabling engineers and product teams to visualize real-time iCloud sync health, storage usage, and latency metrics across regions.
• Built highly reusable frontend component libraries aligned with internal design standards, improving UI consistency and reducing new feature delivery time by 30%.
• Optimized frontend rendering performance through memoization, code-splitting, and API response shaping, improving initial load times by 40% for large datasets.
• Collaborated closely with product designers to translate complex backend workflows into intuitive, user- friendly interfaces used daily by hundreds of internal stakeholders.
• Partnered with backend teams to define API contracts optimized for frontend consumption, reducing over-fetching and improving perceived UI responsiveness.
• Built resilient retry and circuit breaker patterns (resilience4j), preventing cascading failures during regional AWS outages and maintaining availability during 3 major infrastructure incidents.
• Developed internal REST APIs using TypeScript/Node.js for App Store Connect analytics enabling 200K+ developers to track downloads, revenue, and engagement across 40M apps.
• Optimized iCloud backup restoration through intelligent caching with Redis and PostgreSQL query tuning, achieving 35% reduction in restore time (12 minutes 7.8 minutes).
• Implemented distributed rate limiting using Redis + Lua protecting backend services from traffic spikes, successfully handling 10x normal load during iPhone launch events without degradation.
• Collaborated with Security and Privacy teams implementing end-to-end encryption, federated authentication flows, and comprehensive audit logging meeting GDPR/CCPA requirements.
• Built automated performance benchmarking using JMeter and Python scripts, running 500+ nightly scenarios and catching regressions before production deployment.
• Created real-time monitoring dashboards using Prometheus/Grafana tracking 200+ service health metrics, with PagerDuty integration reducing alert fatigue by 45%.
• Mentored 5 junior engineers via design reviews, pair programming, and architecture workshops, with 4 promoted to mid-level within 18 months.
• Participated in on-call rotation supporting critical infrastructure maintaining 99.99% uptime SLA, resolving 12 high-severity incidents with 23-minute average time-to-resolution.
• Leveraged AWS services (EC2, S3, RDS, Lambda, CloudWatch) to support scalable, highly available iCloud backend infrastructure across global regions.
Tech Stack: React, TypeScript, JavaScript, Node.js, Java (Spring Boot), Python, REST APIs, Kafka, Redis, PostgreSQL, AWS (EC2, S3, RDS, Lambda, CloudWatch), Kubernetes, Docker, Helm, GitOps, CI/CD, Prometheus, Grafana, PagerDuty
Microsoft
Senior Software Engineer Sep 2020 – Jul 2022
• Developed scalable backend services and admin experiences for Azure Active Directory supporting 500M+ enterprise users across 250K organizations, handling 15B authentication requests daily.
• Built RESTful APIs using C# / ASP.NET Core / .NET Core for MFA, conditional access policies, and identity governance workflows, improving authentication success from 94.2% 98.7% (40% error reduction).
• Architected cloud-native microservices on Azure leveraging Functions, Service Bus, and Cosmos DB, achieving 99.95% availability.
• Designed token validation and rotation service processing 800M OAuth2/OIDC tokens/day with sub-50ms latency, implementing caching strategies reducing directory calls by 73%.
• Built a TypeScript/React admin portal enabling IT administrators to manage 50M+ identities, configure security policies, and investigate suspicious sign-in activity across tenants.
• Served as full-stack owner for multiple Azure AD admin features, driving requirements from UX design through React implementation and backend API delivery.
• Led frontend architecture decisions for the TypeScript/React admin portal, focusing on scalability, maintainability, and secure multi-tenant UI patterns.
• Improved frontend performance and usability for large enterprise tenants by optimizing state management, API pagination, and client-side caching, cutting page interaction latency by 35%.
• Worked directly with design and PM teams to iterate on accessibility, usability, and admin workflows, improving administrator task completion rates.
• Implemented threat detection analyzing login patterns with ML models, identifying and blocking 2.3M potentially compromised accounts monthly while maintaining 0.8% false positive rate.
• Led performance optimization reducing SQL Server query times by 50% (indexing, query rewrites, read replicas), improving dashboard load times from 8s 4s.
• Developed automated provisioning pipeline syncing Active Directory with 40+ SaaS applications using SCIM, reducing manual account setup time from 45 minutes 2 minutes.
• Established CI/CD pipelines using Azure DevOps with automated testing (95% code coverage), security scanning, and progressive rollouts across 8 global regions, reducing manual effort by 70%.
• Built real-time compliance reporting/audit logging aligned to SOC 2 / ISO 27001 / FedRAMP, processing 200M daily audit events with 7-year retention.
• Collaborated across Redmond, Dublin, and Hyderabad in Agile delivery, shipping 18 major features across 6 quarterly release cycles.
• Authored API specs, architecture decision records, and troubleshooting guides adopted as standard reference by 120+ engineers.
Tech Stack: C#, ASP.NET Core, .NET Core, React, TypeScript, JavaScript, REST APIs, OAuth2, OpenID Connect
(OIDC), SCIM, Azure Functions, Azure Service Bus, Cosmos DB, SQL Server, Azure DevOps, CI/CD Uber Eats
Software Engineer II (L4) Mar 2016 – Sep 2020
• Built and maintained backend services powering the Uber Eats marketplace across 45 countries processing 12M daily orders at peak, generating $26B annual gross bookings during tenure.
• Developed order lifecycle management APIs using Java and Python handling order placement, restaurant acceptance, driver assignment, and delivery completion with complex state machine orchestration and idempotency guarantees.
• Architected payment processing service integrating with 25 payment providers (Stripe, Braintree, local methods) supporting 15 currencies, processing $2B/month with 99.98% success rate.
• Built restaurant onboarding platform streamlining partner integration from 3 weeks 2 days, enabling 180K+ restaurants and increasing selection by 240%.
• Owned full-stack delivery of merchant-facing features, implementing React-based dashboards tightly integrated with real-time backend order and dispatch systems.
• Built frontend data visualizations and operational tooling enabling restaurants to track order status, demand trends, and performance metrics in real time.
• Collaborated with designers to refine merchant UX flows, reducing onboarding friction and support inquiries through improved UI clarity and feedback loops.
• Balanced frontend iteration speed with backend correctness, ensuring consistent behavior across web, mobile, and API-driven surfaces.
• Contributed to real-time dispatch optimization integrating graph algorithms and ML models, improving matching efficiency by 20% and reducing average delivery time by 4.2 minutes.
• Designed dynamic pricing engine using predictive models (distance, demand, traffic, weather), optimizing marketplace economics and increasing driver utilization by 18%.
• Implemented frontend features using React/JavaScript for merchant dashboard enabling menu management, real-time order tracking, and analytics, reducing support tickets by 30%.
• Modernized Ruby-based legacy order tracking service by migrating to Java microservices with 85%+ test coverage, improving reliability 97.2% 99.6% uptime and reducing latency by 52%.
• Optimized MySQL performance through query analysis, index optimization, and connection pooling, reducing peak DB latency 40% (850ms 510ms) and eliminating timeout errors.
• Built fraud detection rules engine identifying $4.8M in fraudulent transactions monthly while maintaining 3.2% false positive rate.
• Collaborated with data science teams integrating predictive ML models for ETA, demand forecasting, and recommendations (ETA accuracy 68% 84%).
• Implemented distributed caching layer using Redis reducing API calls by 65% during peak traffic, handling 350% spike load (Super Bowl Sunday).
• Developed A/B experimentation framework enabling 40+ experiments that improved browse-to-checkout conversion by 23%.
• Participated in incident response and blameless postmortems for 15 major outages, reducing P0 incidents from 8/quarter 2/quarter.
• Established monitoring and alerting using Datadog tracking 150+ KPIs, reducing on-call noise by 38%. Tech Stack: React, JavaScript, Java, Python, REST APIs, AWS, MySQL, Redis, Stripe, Braintree, Microservices, Distributed Systems, Datadog
Deloitte
Software Engineer Mar 2011 – Mar 2016
• Delivered enterprise software solutions for Fortune 500 clients across finance, healthcare, and retail sectors, supporting mission-critical business operations for organizations with 50K+ employees.
• Developed full-stack claims adjudication platform for major healthcare insurer using Java + Spring processing 1.8M claims/year worth $3.2B, reducing manual review time by 45%.
• Built mortgage loan origination system using C# / .NET MVC supporting $800M annual loan volume, reducing loan approval time from 21 days 12 days.
• Delivered full-stack enterprise applications, building server-rendered and client-side UI layers integrated with complex backend workflows.
• Worked closely with non-technical stakeholders to translate business requirements into clear user interfaces backed by reliable APIs.
• Developed reusable frontend components for internal enterprise portals, accelerating delivery across multiple client engagements.
• Designed data processing ETL pipelines in Python across 12 source systems into SQL Server warehouse, reducing monthly regulatory reporting effort from 160 hours 8 hours.
• Implemented retail inventory management system integrating with POS across 240 store locations, reducing out-of-stock incidents by 34%.
• Built RESTful APIs for mobile banking enabling 120K customers to transact securely, with validation and audit logging aligned to banking security requirements.
• Developed complex SQL queries/stored procedures optimizing reporting for 500K+ daily records, reducing executive dashboard refresh time from 45 minutes 6 minutes.
• Architected integration middleware connecting legacy AS/400 mainframe systems with modern web apps using message queues and web services, enabling phased modernization.
• Collaborated with business stakeholders on requirements workshops and technical specs, delivering 25– 40% operational efficiency improvements.
• Implemented automated testing frameworks using JUnit and Selenium achieving 78% code coverage, reducing regression bugs by 52%.
• Led code quality initiatives (standards, architecture reviews, SonarQube), improving maintainability scores by 35% and reducing technical debt.
• Worked in Agile teams across 8 major engagements, meeting milestones and earning 4.5/5.0+ client ratings, driving renewals and $2.4M additional scope. Tech Stack: Java, Spring, C#, .NET MVC, Python, JavaScript, REST APIs, SQL Server, ETL Pipelines, Message Queues, Web Services, JUnit, Selenium, SonarQube
EDUCATION
Texas A&M University
Bachelor of Science in Computer Science 2006 – 2010