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Metro location, popular backend role, mid-level experience, and broad skill requirements drive high competition.
Core backend and integration skills are transferable, though enterprise integrations add moderate domain specificity.
Explicit 6+ years Java plus mandatory backend tech and AI-augmented engineering practice creates strict filters.
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Design, build, and scale the integration platform connecting internal products to third-party systems.
Use AI-augmented engineering practices extensively across coding, design, testing, and operations.
Take end-to-end ownership of features including requirements, rollout, monitoring, and reliability.
6+ years of production Java experience with deep JVM and related ecosystem knowledge (Spring Boot, Hibernate).
Strong understanding of integration patterns (REST, GraphQL, gRPC, event-driven with Kafka/SQS) and distributed systems design.
Proficiency using AI coding assistants effectively in software development lifecycle.
Experience with Python scripting and willingness to own Python services; familiarity with cloud-native deployments and containerization.
Experienced in building and managing complex APIs and microservices in a production environment with robust observability and fault tolerance.
Comfortable incorporating AI tools thoughtfully and critically into engineering workflows for efficiency and quality.
Able to lead technical efforts, mentor junior engineers, collaborate cross-functionally, and communicate complex technical issues clearly to non-technical stakeholders.