Senior Software Engineer Java, Python, AWS, AI/ML Systems

Jeffery Davis

+1-725-***-**** *******@*****.*** Las Vegas, NV, USA linkedin.com/in/jeffery-davis-91a4a51/ PROFESSIONAL SUMMARY

Senior Software Engineer with 9+ years of experience designing, building, and operating enterprise- grade applications across SaaS, healthcare, and open-source platforms. Deep expertise in Java, Spring Boot, and JVM-based ecosystems, along with strong proficiency in Python for backend services and AI- driven workflows. Experienced in building modern full stack applications using React and Next.js, delivering scalable, high-performance user experiences backed by robust APIs. Strong focus on scalable backend architectures, distributed systems, and API-driven platforms supporting high-availability, mission-critical workloads. Proven track record of translating complex business and regulatory requirements into secure, high-performance services using microservices, event-driven architectures (Kafka/RabbitMQ), RESTful APIs, and relational databases (PostgreSQL/MySQL). Strong experience in domain-driven design (DDD), transactional integrity, concurrency control, caching strategies (Redis), and JVM performance tuning. Hands-on experience integrating AI/LLM-powered capabilities into backend systems using both Java and Python, including OpenAI/LLM API integration, prompt orchestration, retrieval-augmented generation (RAG), semantic search, and document processing pipelines. Designed scalable AI-enabled services with token management, rate limiting, streaming responses, and secure data handling, enabling intelligent automation, conversational interfaces, and AI-assisted analytics within enterprise platforms. Experienced in cloud-native development on AWS, including Docker-based containerization, CI/CD pipelines, infrastructure automation, and production observability (centralized logging, metrics, distributed tracing). Skilled in developing and deploying full stack applications, leveraging React and Next.js for frontend architecture, server-side rendering

(SSR), and seamless integration with backend services. Adept at leading technical design discussions, mentoring engineers, and driving best practices in clean architecture, automated testing, and secure coding standards. Proven ability to own systems end-to-end—from concept through production—ensuring scalability, maintainability, and long-term system evolution aligned with business growth.

EDUCATION

University of Nevada-Las Vegas August 2015 - May 2019 Bachelor’s Degree of Computer Software Engineering PROFESSIONAL EXPERIENCE

Akta Tech Miami, FL, USA

Senior Software engineer 07/2023 – 02/2026

• Designed and developed Java-based backend services using Java 17/21 (LTS) and Spring Boot 3.x (3.1/3.2) for enterprise SaaS video platforms supporting live streaming, video-on-demand (VOD), and Dynamic Ad Insertion (DAI).

• Designed and integrated AI/LLM-powered services within Spring Boot 3 microservices, implementing RAG, semantic search, and intelligent metadata/tag generation using external LLM APIs (OpenAI-compatible), leveraging WebClient (Spring WebFlux) for streaming and reactive processing.

• Built Python-based AI services (FastAPI) for LLM orchestration, data preprocessing, and asynchronous inference pipelines, integrating seamlessly with Java microservices for hybrid AI-driven architectures.

• Built secure prompt orchestration layers with token management, rate limiting, and streaming response handling, ensuring secure AI-driven insights, automated content moderation, and operational decision support across video workflows.

• Built and maintained scalable microservices leveraging Spring Boot 3.x, Spring MVC/WebFlux, Spring Data JPA (Hibernate 6), and Jakarta EE 9+ namespaces, orchestrating video workflows, live encoding pipelines, and cloud-based media processing.

• Developed full stack applications using React and Next.js, building responsive, component-driven UIs with SSR/SSG for multi-screen video playback, analytics dashboards, and admin platforms.

• Designed domain-driven data models and implemented complex persistence logic using JPA/Hibernate 6, including advanced entity mappings, transactional boundaries, fetch strategies, and query optimization.

• Implemented RESTful and GraphQL APIs using Spring Web, OpenAPI 3, and Node.js where needed, enabling multi-platform playback, ad delivery, analytics, and monetization across web, mobile, and connected TV platforms.

• Developed event-driven architectures using Spring Kafka (3.x), RabbitMQ, and Spring Cloud Stream, processing high-volume streaming events, ad decisioning signals, and real-time analytics pipelines.

• Implemented transaction management and consistency guarantees using Spring @Transactional (Jakarta Transactions), handling concurrency, idempotency, and failure recovery in distributed systems.

• Optimized high-throughput, low-latency services using asynchronous processing (CompletableFuture, virtual threads), Python async workflows, connection pooling (HikariCP), and caching with Redis.

• Integrated Dynamic Ad Insertion (DAI) workflows, coordinating ad decisioning, content stitching, and playback signaling while ensuring minimal latency and seamless viewer experience.

• Deployed and operated cloud-native applications on AWS and GCP, containerized with Docker and orchestrated via Kubernetes (EKS/GKE), with infrastructure automation and CI/CD pipelines.

• Implemented observability and resilience patterns using Spring Boot Actuator, Micrometer, Prometheus, OpenTelemetry, and centralized logging for real-time monitoring and alerting.

• Integrated AI/ML-powered video quality analysis and anomaly detection services, enabling automated stream degradation detection and proactive remediation.

• Led technical design and code reviews, mentoring engineers on modern backend and full stack architecture, modularization, and scalability best practices.

• Enforced comprehensive testing strategies using JUnit 5, Mockito, Spring Boot Test, Testcontainers, and contract testing, ensuring reliability of mission-critical systems. Concepta Tech Orlando, FL, USA

Full Stack Engineer 03/2021 – 06/2023

• Delivered enterprise-grade web and mobile applications for global brands including Disney, Warner Music, Red Lobster, and AdventHealth, adhering to enterprise architecture standards, security requirements, and scalability constraints.

• Led backend and full-stack development using Java 11/17 and Spring Boot 2.5–2.7, alongside Python

(FastAPI) for building scalable APIs and AI-driven services within distributed systems.

• Designed and implemented domain-driven, layered architectures (Controller–Service–Repository) ensuring clear separation of concerns, maintainability, and extensibility.

• Built and evolved Spring Boot microservices exposing RESTful APIs with proper versioning strategies, supporting high-traffic web and mobile applications.

• Developed full stack features using React and Next.js, building responsive UIs, dashboards, and client-facing platforms with seamless integration to backend APIs.

• Implemented JPA/Hibernate (5.x)-based persistence layers, including complex entity relationships, inheritance mappings, optimized fetch strategies, and transactional consistency using @Transactional.

• Improved database performance through query tuning, indexing strategies, pagination, batching, and caching (Redis), enabling efficient handling of large datasets.

• Applied Spring Security with OAuth2/JWT to implement authentication and role-based authorization, securing APIs and third-party integrations.

• Enforced domain validation using Hibernate Validator (Bean Validation API) to maintain data integrity across service and persistence layers.

• Integrated enterprise CI/CD pipelines (GitHub Actions, Jenkins), automating builds, testing (JUnit 5, Spring Test, Mockito), and deployments across staging and production environments.

• Participated actively in Agile/Scrum ceremonies, contributing to sprint planning, backlog refinement, estimation, and technical design discussions.

• Contributed to Concepta’s Launch Pad and Mission Control delivery frameworks, performing requirement analysis, architectural design, milestone planning, and risk mitigation.

• Collaborated with DevOps teams to deploy services to AWS-based environments, using Docker and containerized workflows to ensure scalability and environment consistency.

• Implemented logging and observability using Spring Boot Actuator, centralized logging, metrics collection, and health checks to improve production monitoring and reduce MTTR.

• Mentored junior engineers through code reviews and architectural guidance, promoting best practices in backend and full stack development.

• Supported long-term maintenance, scaling, and feature expansion of mission-critical systems, consistently achieving 99%+ uptime and enterprise-level reliability. Kinectify Las Vegas, NV, USA

Software developer 11/2019 – 03/2021

• Designed and developed backend services for a modern AML (Anti-Money Laundering) risk management platform using Java (Spring Boot) and Python (FastAPI), supporting real-time intelligence, customer risk scoring, and regulatory compliance workflows.

• Built and maintained microservices using Spring Boot (MVC/WebFlux), Spring Data JPA, and Hibernate, alongside Python-based services for data processing and AI-driven risk analysis, centralizing AML data and eliminating silos.

• Developed RESTful APIs and event-driven architectures using Spring Cloud, Kafka, and asynchronous Python pipelines to enable real-time processing of high-volume transactional data for risk scoring and alerting.

• Developed full stack features using React and Next.js, building internal dashboards and compliance tools for monitoring risk scores, alerts, and investigative workflows.

• Automated AML workflows and monitoring processes, integrating with global intelligence providers and ensuring transactional, secure, and auditable operations aligned with regulatory standards.

• Designed and optimized JPA/Hibernate-based persistence layers, including complex entity relationships, query tuning, indexing strategies, and caching (Redis), ensuring high performance under large-scale data loads.

• Contributed to cloud-native, containerized deployments on AWS and GCP using Docker and Kubernetes, ensuring high availability, fault tolerance, and horizontal scalability.

• Collaborated with cross-functional teams (Product, Data, DevOps, Compliance) to deliver secure, compliant, and maintainable solutions aligned with business and regulatory requirements.

• Mentored engineers and enforced best practices across Java, Python, and full stack development, including testing (JUnit, Mockito, PyTest), CI/CD, and observability.

• Optimized system performance, throughput, and latency, ensuring continuous uptime, reliability, and real-time responsiveness for enterprise AML applications. TRIM Fort Lauderdale, FL, USA

Fullstack developer (Internship) 04/2017- 09/2019

• Developed and maintained enterprise-grade applications using Java 8/11 (Spring Boot 1.5–2.0) and Python (FastAPI), translating complex business requirements into scalable, maintainable backend systems and data processing services.

• Designed cloud-native architectures on AWS, leveraging Docker, Kubernetes (EKS), and managed services to ensure high availability, fault tolerance, and consistent CI/CD pipelines.

• Integrated financial and third-party APIs (Stripe, Dwolla, Plaid, QuickBooks) using RESTful services, Spring WebClient, and Python services, enabling secure payment processing, reconciliation, and workflow automation.

• Built event-driven systems using Apache Kafka, JMS, AWS SQS, and asynchronous Python workers, ensuring reliable, high-throughput processing of financial transactions with idempotency and fault tolerance.

• Developed full stack internal tools using React and Next.js, including operational dashboards, reporting interfaces, and admin panels to improve visibility and business workflows.

• Implemented internal automation tools and microservices, including Slack API integrations, background job processing, and reporting pipelines to enhance team productivity and observability.

• Applied performance optimization techniques including query tuning, indexing strategies, caching

(Redis, in-memory), and efficient transaction handling to support low-latency financial operations.

• Collaborated cross-functionally with product, UX, and operations teams to align technical solutions with business goals, improving delivery speed, system reliability, and observability. SKILLS

Languages: Java (Spring Boot, Spring MVC, Spring Data JPA, Spring Security, Hibernate), Python

(Django, Flask, FastAPI), Node.js (Express, NestJS), JavaScript/TypeScript, SQL, NoSQL

(PostgreSQL, MongoDB, Redis)

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Backend Development: RESTful & GraphQL APIs, Microservices, Event-driven architectures (JMS, Kafka, RabbitMQ, AWS SQS), Serverless functions (AWS Lambda / Cloud Functions), Enterprise integration patterns (EJB, JMS, SOAP)•

Frontend / Full-Stack: React.js, Next.js, HTML5, CSS3, Tailwind, State management

(Redux/Zustand), Angular(12+)

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Cloud & DevOps: AWS, GCP, Azure, Docker, Kubernetes, CI/CD (GitHub Actions, Jenkins), Infrastructure as Code (Terraform/CloudFormation)

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Testing & Quality: Unit & integration testing (JUnit, Mockito, TestNG), TDD, Linting/Static Analysis (SonarQube, Checkstyle), Code reviews, Automated end-to-end testing

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Data & Analytics: Data pipelines, ETL processes, SQL optimization, Basic AI/ML integration, Analytics dashboards

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Performance & Scalability: Caching (Redis/Memcached), Message brokers (RabbitMQ, Kafka, SQS), Real-time

streaming, High availability systems

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