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As the Lead Backend Engineer, you’ll be hands-on in Kotlin every day, designing platform services, integrating workflow orchestration frameworks, and enabling GenAI-powered intent parsing and decision nodes. You need to understand complexity, trade offs and scaling.
Responsibilities
- Design and build backend platform services in Kotlin for ingestion, orchestration, RBAC, monitoring, and developer tooling.
- Implement and optimize workflow orchestration frameworks (e.g., Temporal, Cadence, Camunda, Argo).
- Provide scalable APIs and abstractions that empower other teams to build workflows on the platform.
- Integrate GenAI/NLP pipelines for intent parsing, process matching, and intelligent decisioning.
- Champion developer experience (DX) through tooling, CI/CD improvements, and observability.
- Mentor backend engineers, lead design reviews, and guide technical decisions.
- Collaborate closely with frontend, product, and process analysts to ensure platform adoption and impact.
- Bachelor’s degree in computer science, Engineering, Data Science, or related field (or equivalent experience).
- 10+ years of backend engineering experience, with strong Kotlin/JVM expertise.
- Proven track record building platforms, frameworks, or orchestration services (not just applications).
- Hands-on experience with workflow orchestration systems (Temporal, Cadence, Camunda, Argo, or similar).
- Deep knowledge of distributed systems, API design, and event-driven architectures.
- Practical experience integrating GenAI/NLP into backend systems.
- Experience with RBAC/security models in multi-tenant or enterprise environments.
- Strong bias for action, ability to thrive in lean teams inside large organizations, and passion for delivering value quickly.
- Natural mentor with excellent communication skills; collaborates across functions and knows when to push back.
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