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Senior specialized backend role with strong platform and AI requirements narrows the qualified candidate pool.
Requires deep backend/platform and distributed-systems expertise, limiting transferability across industries.
Explicit 8+ years plus mandatory backend, cloud, Kubernetes, IaC, databases and streaming make filters strict.
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Lead development and evolution of core backend platforms focusing on scalable, secure, and cost-efficient APIs, data, and AI services with thousands of concurrent sessions.
Build and integrate AI-native features such as LLM orchestration, evaluation, guardrails, and governance into the platform.
Partner with multiple product teams to align engineering work with business goals, provide technical strategy, and mentor engineers for quality and impact.
8+ years of experience as a backend/platform engineer with ownership of production services.
Expertise in system design, distributed systems, cloud platforms (AWS/GCP), containers/Kubernetes, Infrastructure as Code (Terraform), and CI/CD automation.
Proficiency in at least one language among Go, Java, Ruby, Python, or JavaScript and experience with relational (Postgres/MySQL) and NoSQL databases plus event-driven architectures like Kafka.
Excellent communication skills for clear documentation, explaining trade-offs, mentoring, and influencing across teams.
Senior engineer with strong backend and platform focus comfortable operating between high-level platform shaping and deep technical problem solving.
Experience embedding AI systems in production, specifically related to LLMs, prompt/model evaluation, and safety guardrails.
Ability to balance long-term architectural decisions with fast iterative delivery, prioritizing both developer experience and system reliability.