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Metro location, mid-level generalist backend role, and established brand increase candidate competition.
Core backend and data pipeline skills are transferable, but vector datastore and video metadata domain knowledge limit portability.
Explicit 6+ years and mandatory Java, SQL/NoSQL, vector stores, ETL, and messaging experience raise strictness.
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Lead design, development, and maintenance of scalable, robust video metadata software applications and data pipelines.
Collaborate with cross-functional teams to define technical specifications, ensure application performance, and participate in architectural decisions.
Mentor and guide junior engineers, conduct code reviews, and contribute to engineering process improvements.
6+ years of professional software development experience with strong focus on Python.
Bachelor’s degree in Computer Science, Engineering, or related field.
Proficiency in Java and backend technologies; experience with RESTful APIs and microservices architecture.
Experienced in SQL, NoSQL, Vector datastores and messaging queue concepts.
Proven leadership in managing and mentoring engineering teams for successful project delivery.
Experienced in building and optimizing ETL/ELT data pipelines at scale with database schema design knowledge.
Familiarity with legacy systems automation, cloud platforms (AWS, Azure, GCP), and containerization (Docker, Kubernetes) preferred.