Java Technical Lead

Machine Learning Technologies, LLC; Iowa; Presencial; USD 110.000 - 190.000; Jornada completa

Descripción de la vacante

Machine Learning Technologies, LLC seeks a Full-Stack Engineer / Technical Lead to design, build, and maintain enterprise-grade applications across the stack—from Angular frontend to Java backend, deployed on GCP with GKE and AlloyDB. You will lead frontend and backend design, ensure code quality, testing, and secure API design in OpenAPI/Swagger, while driving DevOps and scalable architecture.

Expertise in Angular, Java/Micronaut, cloud, Kubernetes, and CI/CD is required to deliver

Formación

• 4+ years frontend experience with Angular
• 5+ years backend experience with Java and Micronaut
• Experience with OAuth2/OIDC security
• Experience with PostgreSQL or AlloyDB
• Experience with GCP and Kubernetes
• Experience with CI/CD and IaC

Responsabilidades

• Design and develop modern, responsive frontend interfaces with Angular
• Implement state management and API integrations
• Architect, build, and maintain lightweight microservices with Java and Micronaut
• Implement robust authentication/authorization using OAuth2/OIDC
• Model and optimize relational databases (AlloyDB/PostgreSQL)
• Write and optimize SQL with JDBI; manage migrations with Flyway
• Configure Kubernetes orchestration, load balancing, and auto-scaling
• Implement CI/CD pipelines, automated tests, and cloud monitoring

Conocimientos

Angular

TypeScript

RxJS

REST APIs

Herramientas

Micronaut

Flyway

JDBI

OpenAPI/Swagger

GKE

Docker

Kubernetes

Descripción del empleo

Full-Stack Engineer / Technical Lead

We are looking for an experienced Full-Stack Engineer / Technical Lead to design, build, and maintain high-performance, enterprise-grade applications.

In this role, you will work across our entire stack—from modern web interfaces powered by Angular 19 to lightweight microservices built on Java 23 and Micronaut 4.9.3, deployed on Google Cloud Platform (GCP) using Google Kubernetes Engine (GKE), and backed by AlloyDB (PostgreSQL).

Responsibilities

• Frontend Development Design and develop modern, responsive, and high-performance frontend interfaces using Angular 19.
• Implement state management, reactive programming patterns, and seamless API integrations.
• Backend & Microservices Architect, build, and maintain lightweight, high-throughput microservices using Java 23 and Micronaut 4.9.3 for ultra-fast startup and low memory footprint. Ensure high code quality, security, unit/integration test coverage, and clean RESTful API design with automated, self-documenting APIs using OpenAPI / Swagger.
• Implement robust Authentication & Authorization using OAuth2 and OIDC protocols for enterprise integration and access control across microservices.
• Database Architecture & Management Design, optimize, and manage enterprise relational database models using AlloyDB for PostgreSQL.
• Write efficient SQL queries using JDBI 3 for type-safe database operations, manage version-controlled schema migrations with Flyway, and optimize indexing and throughput for high scale. Cloud Infrastructure & DevOps Deploy, manage, and scale applications on GCP using GKE (Google Kubernetes Engine).
• Configure and maintain Kubernetes Orchestration, Load Balancing, and Auto-scaling policies to ensure 99.99% availability and optimal resource utilization.
• Implement CI/CD pipelines, automated testing, container security, and cloud monitoring/logging.

Requirements

• Frontend: 4+ years of hands-on experience with modern Angular (experience with Angular 17+ or Angular 19 preferred), TypeScript, RxJS, and modern web UI libraries.
• Backend: 5+ years of experience with Java backend engineering (core Java 23), specifically with microservices frameworks like Micronaut 4.9.3 (for ultra-fast startup and low memory usage), along with OAuth2/OIDC security standards.
• Database: Deep experience with PostgreSQL or GCP AlloyDB, including data modeling, type-safe SQL with JDBI 3, version-controlled migrations using Flyway, and performance tuning.
• Cloud & DevOps: Strong expertise with Google Cloud Platform (GCP).
• Hands-on proficiency with Kubernetes (GKE), containerization (Docker), ingress/load balancing, and auto-scaling.
• Core Competencies Deep understanding of microservices architecture, event-driven design, and distributed system trade-offs.
• Experience with RESTful APIs, JSON, automated API documentation using OpenAPI / Swagger specifications, and gRPC.
• Familiarity with CI/CD tools (e.g., GitHub Actions, GitLab CI, Cloud Build) and Infrastructure as Code (e.g., Terraform).
• Strong problem-solving skills, architectural ownership, and passion for building scalable systems.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.