Process massive streams of media metadata in a high-scale AWS environment.
Deliver high-quality features that power industry-leading measurement and attribution products.
Independently own and deliver features, writing high-quality code that includes monitoring, metrics, and logging as standard practice.
Author and own the testing plan for features, performing various test types and identifying patterns in test results.
Actively participate in code reviews to ensure a healthy and maintainable codebase.
Use AI tools to improve task speed and quality, critically evaluate AI-generated output, and identify enhancements in work assignments.
Participate in the on-call rotation and contribute to defining on-call expectations.

Requirements

Significant experience (typically 2–5 years) developing software features for business or technology solutions.
Strong experience with Java and Spring Boot in a microservices environment.
Solid understanding of AWS (S3, Lambda, EC2) and containerization (Docker).
Familiarity with CI/CD pipelines.
Experience with message brokers (RabbitMQ/SQS), Kubernetes (EKS), Docker, and SQL optimization is preferred.
Demonstrated ability to use LLMs and AI coding assistants to accelerate your development lifecycle.
Strong communication skills with the ability to tailor messaging to different audiences (from junior devs to senior leadership).

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

JavaSpring BootmicroservicesAWSS3LambdaEC2DockerCI/CDSQL optimization

Soft Skills

strong communicationindependently own featurescode reviewscritical evaluationpattern identification