Product Software Engineering Manager

Requirements:

• Hold a Bachelor's degree in Computer Science, Computer Information Systems, Engineering, or another technical field.
• 8+ years of technical experience with at least 2 years of technical and engineering leadership experience.
• Have excellent verbal and written communication skills.
• Have strong problem-solving and analytical skills.
• Have a strong understanding of Microservice Architecture.
• Have deep expertise in Java, including core libraries, concurrency, and memory management.
• Have deep expertise in the Spring Boot framework, including modules such as Spring Data, Spring Security and Spring Cloud.
• Have deep knowledge of SQL and NoSQL databases.
• Have deep expertise in ORM frameworks like Hibernate and database design best practices.
• Have deep experience with Kafka, Kinesis, and Redis (Elasticache).
• Possess extensive experience in developing industry-level, highly available and scalable services.
• Have expertise in cloud-based computing principles and practices.
• Have a deep understanding of CI/CD pipelines, Docker/containerization, Kubernetes/orchestration and AWS.
• Have expertise with cloud infrastructure technologies: Terraform, K8S, Spinnaker, IAM, ALB, etc.
• Have experience working with observability tooling such as DataDog.
• Have experience creating performant User Interfaces leveraging HTML/CSS/JS and React or other frameworks.
• Have a track record of championing quality engineering, and be adamant that all code is written in a way that can be tested with unit tests.
• Have experience working with high-performing teams using Agile and Lean methodologies and frameworks.
• Have the ability to adapt to new technologies and changing project requirements.
• Have skills in mentoring, coaching, and providing constructive feedback to team members.
• Have the capability to align technical decisions with business goals to drive innovation within the team.
• Care about your craft and have opinions about the right way to do things with technology.

Preferred Experience:

• Master's degree in Computer Science, Software Engineering or related technical discipline is highly desirable.
• Experience with AI (GenAI, Azure/OpenAI APIs, Machine Learning).
• Experience working on Design Systems.
• Previous work experience in digital advertising.
• Experience working with vendor teams to deliver high-quality results.
• Experience building Order Management Systems supporting Quote-to-Cash.

Skills

AWS, Docker, Java, Kafka, Kubernetes, Spring, Spring Boot, Terraform