Lead Full Stack Software Engineer

Cynet Systems • Plano, TX

2d

About The Position

Our client is seeking a Senior/Lead Full Stack Software Engineer to build Java-based services and modern frontend applications. The successful candidate will lead features end-to-end and work effectively in a fast-paced environment. The role requires expertise in scalable, resilient, fault-tolerant microservices and distributed systems, along with strong AWS, frontend, API development, observability, containerization, and AI/ML integration experience.

The technical stack includes Java, Spring Boot, Spring Cloud, Apache Camel, Spring AI, modern frontend frameworks, AWS cloud services, REST and GraphQL APIs, event-driven messaging, and observability platforms. The position also involves using AI-assisted development tools and integrating Amazon Bedrock or similar AI/ML services into existing applications.

Requirements

• Exceptional expertise building Java-based, scalable, resilient, and fault-tolerant microservices.
• Deep knowledge of distributed systems.
• Strong AWS experience, including hands-on work with core cloud services.
• Strong API development skills, including REST, GraphQL, and event-driven architectures.
• Solid understanding of metrics, logs, distributed tracing, and auditing.

Nice To Haves

• AWS Certified Solutions Architect designation.
• Familiarity with Docker and Docker Compose.

Responsibilities

• Build Java-based, scalable, resilient, and fault-tolerant microservices using deep knowledge of distributed systems.
• Use AI-assisted code-generation tools, including GitHub Copilot and Cursor, to accelerate development.
• Develop modern frontend applications using frameworks such as Next.js, Nuxt.js, React, Vue, Astro, or Svelte.
• Develop APIs using REST, GraphQL, and event-driven architectures, and generate Swagger documentation.
• Implement observability solutions using tools such as Client or Dynatrace, including metrics, logs, distributed tracing, and auditing.
• Use containerization and orchestration platforms, especially ECS and Fargate, and cloud-native deployment patterns.
• Integrate Amazon Bedrock or similar AI/ML services into existing applications.
• Lead features end-to-end.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed