Senior Full-Stack Product Software Engineer

Senior Full-Stack Product Software Engineer

Role Overview
We are seeking a Senior Full-Stack Product Software Engineer to design, develop, and support scalable, user-centric advertising solutions. In this role, you will collaborate with cross-functional teams to deliver innovative products, take technical ownership of key systems, mentor peers, and ensure high standards of reliability, observability, and operational excellence.

Key Responsibilities

• Design, build, and maintain scalable microservices and modern web applications using Java, Spring Boot, and front-end frameworks such as React.
• Collaborate with Product, UX, and Engineering teams to deliver high-quality features and enhancements.
• Translate business requirements and user stories into technical solutions from development through deployment.
• Drive system reliability through monitoring, metrics, alerting, and operational best practices.
• Participate in code reviews, technical mentoring, and knowledge sharing across engineering teams.
• Support production systems through on-call rotations and incident resolution.
• Champion software quality through automated testing, CI/CD, and agile development practices.
• Leverage AI-enabled development tools in accordance with company policies.

Required Qualifications

• 5+ years of software engineering experience.
• Strong proficiency in Java, Spring Boot, REST APIs, microservices, and distributed systems.
• Experience with React or other modern JavaScript frameworks.
• Strong knowledge of relational databases such as MySQL or PostgreSQL.
• Solid understanding of data structures, algorithms, and software design principles.
• Excellent problem-solving, communication, and collaboration skills.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent practical experience.

Preferred Qualifications

• Experience in AdTech, programmatic advertising, or real-time bidding platforms.
• Experience with AWS cloud services.
• Knowledge of Docker, Kubernetes, Terraform, and modern DevOps practices.
• Experience with event streaming technologies such as Kafka, Kinesis, SNS, or SQS.
• Strong understanding of system observability, scalability, and performance optimization.