Senior Java Software Engineer (AWS, Acting Lead)

Pizza Hut Digital & Technology

Ứng tuyển

Waseco Building - 10 Pho Quang Street, Ward 02, Tân Sơn Hòa, TP Hồ Chí Minh

Linh hoạt

Đăng 16 ngày trước

Kỹ năng:

Java English Leadership Spring Boot PostgreSql AWS

Chuyên môn:

Lập trình viên Backend

Lĩnh vực:

Sản Phẩm Phần Mềm và Dịch Vụ Web

3 Lý do để gia nhập công ty

Flexible Friday afternoon
18 Annual Leave + 5 Recharge Days/ Year
Hybrid working model

Mô tả công việc

We are seeking a highly skilled and motivated Java Technical Leader to lead and grow a team of Software Engineers delivering scalable, secure, and high-quality backend systems.

In this role, you will combine strong Java architecture expertise, technical leadership, and modern engineering practices, including effective use of AI-assisted tools to improve productivity, quality, and decision-making.

You will work closely with international stakeholders, take end-to-end ownership of technical outcomes, and foster a culture of engineering excellence, continuous learning, and smart adoption of new technologies.

Key Responsibilities:

Technical & Team Leadership

Lead, mentor, and coach a team of Software Engineers, supporting their technical growth and career development.
Act as a hands-on technical leader, setting coding standards, architectural principles, and best practices.
Foster a collaborative, inclusive, and learning-oriented team culture with strong ownership and accountability.
Guide engineers on effective and responsible use of AI tools to enhance daily engineering work (e.g., design, coding, debugging, testing, documentation).
Proactively identify, troubleshoot, and resolve complex performance or scalability issues.
Work closely with DevOps/SRE teams to improve CI/CD pipelines, deployment reliability, and runtime stability.
Drive improvements in system observability, monitoring, and alerting.
Ensure high standards of code quality through design reviews, code reviews, automated testing, and documentation.
Design, develop, and review robust Java-based systems using Spring ecosystem and microservices architecture.

Global Collaboration

Work effectively with cross-functional and international teams (e.g., UK, US).
Communicate complex technical topics clearly to both technical and non-technical stakeholders.

AI-Augmented Engineering (Big Plus)

Leverage AI-assisted developer tools (e.g., for code generation, refactoring, test creation, log analysis, incident triage, and documentation) to:
Improve development speed without compromising quality
Reduce repetitive manual work
Support faster debugging and root-cause analysis
Promote best practices for AI usage, including validation of outputs, security awareness, and IP safety.
Explore and propose practical AI use cases in backend engineering, and system observability.

Yêu cầu công việc

Core Java & Backend Expertise

Strong expertise in Java, including OOP, multithreading, concurrency, collections, and performance tuning.
Hands-on experience with Spring / Spring Boot, Spring Data, Dependency Injection (DI), and transaction management.
Solid experience designing and building RESTful APIs and distributed microservices architectures.
Experience with SQL databases (e.g., PostgreSQL) and NoSQL solutions (e.g., MongoDB, DynamoDB).
Strong understanding of data modeling, query optimization, and backend performance tuning.
Hands-on experience with AWS (e.g., EKS, S3, RDS, Lambda).
Experience with CI/CD pipelines and modern DevOps practices.
Familiarity with monitoring and logging tools such as DataDog for metrics, logs, and traces.

Ways of Working

Proficient with GitLab for version control and collaboration.
Experience working in Agile / Scrum environments.
Strong problem-solving skills and ability to make sound technical decisions under constraints.
Strong spoken and written English for international collaboration.

Bonus / Differentiators

Proven experience using AI tools in daily engineering work (coding, debugging, testing, design, or operations).
Ability to mentor others on productive and responsible AI usage.
Familiarity with Kubernetes (K8s): containerization, deployment, scaling, and service-to-service communication.