Description

Key Responsibilities

      • Lead the architecture and development of the EBC backend/runtime platform, including APIs, session management, identity context, and integrations. 

      • Design and develop scalable backend services using advanced Python, asynchronous processing, REST APIs, and streaming APIs. 

      • Implement robust workflow and session-state management, including retries, timeouts, caching, schema validation, and structured error handling. 

      • Establish API-first architecture using Apigee, versioned contracts, authentication, authorization, rate limiting, and user-context propagation. 

      • Integrate backend services with UI applications, AI gateways, agents, BigQuery, Stardog, and other enterprise platforms. 

      • Design efficient data-access patterns using advanced SQL and BigQuery, including curated/authorized views, query optimization, filtering, pagination, transformation, masking, and role-aware data delivery. 

      • Integrate conversational AI and agent capabilities while supporting structured AI responses, citations, and graceful handling of unavailable downstream services. 

      • Integrate backend applications with semantic and knowledge-graph interfaces. 

      • Design and support cloud infrastructure using GCP, GKE, Docker, Kubernetes, and Terraform. 

      • Implement service accounts, secrets management, workload identity, networking, DNS, load balancing, and private connectivity. 

      • Establish automated CI/CD pipelines covering build, testing, deployment, promotion, rollback, credential rotation, and environment management. 

      • Drive unit, integration, contract, regression, performance, load, and resilience testing. 

      • Implement production observability through logging, metrics, distributed tracing, dashboards, alerting, and SLIs. 

      • Lead incident response, root-cause analysis, recovery procedures, and production support practices. 

      • Ensure secure coding, least-privilege access, identity propagation, secrets management, masking, audit logging, and protection of sensitive information. 

      • Conduct architecture, design, and code reviews while mentoring engineers and establishing reusable engineering standards. 

Required Qualifications

      • Strong hands-on experience with Python and production backend systems. 

      • Expertise in REST and streaming APIs and asynchronous application architectures. 

      • Experience with Apigee or comparable API-management platforms. 

      • Strong knowledge of authentication, authorization, identity propagation, and API security. 

      • Advanced SQL and BigQuery experience. 

      • Experience integrating applications with AI/agent platforms and enterprise data systems. 

      • Strong experience with GCP, GKE, Kubernetes, Docker, and Terraform. 

      • Experience designing CI/CD pipelines and production deployment processes. 

      • Strong understanding of distributed-system reliability, observability, testing, and security. 

Demonstrated experience leading technical design, conducting code reviews, and mentoring engineers

Key Skills

Education

Bachelor's degree