Senior Backend Executive

1. Agent Orchestration & System Architecture

• Agentic Frameworks:
• Architect the orchestration layer (Agent of Agents) that coordinates specialized AI workers (e.g., Controllership Agent, Treasury Agent), managing state, task routing, and error handling.
• Workflow Logic:
• Design the "Task Router & Intent Classifier" services that map user prompts to specific skills/playbooks, ensuring deterministic execution of critical financial and engineering workflows.
• Microservices Design:
• Build scalable, containerized microservices that handle high-concurrency requests for the LeverEDGE platform, ensuring low-latency responses for real-time market intelligence and design trade-off analysis.

• Secure SAP Connectivity

• Build the "Data Access Layer" (DAL) that serves as the secure gateway for AI agents to read/write to SAP S/4HANA and Ariba, enforcing strict validation logic before any transaction is committed.
• Scalable Data Lakehouse connectivity:
• Build a scalable, secure, observable connection layer to the central data platform ensuring all read transactions are authenticated, authorized, and properly audited.
• RAG Integration:
• Develop the backend logic to interface with Vector Databases (e.g., Weaviate) and Retrieval Models, enabling the "Knowledge Mining Chatbot" to securely query historical proposals and technical documents.

• External API Managers

3. Security, Performance & Deployment

• Defense-Grade Security:
• Implement "Gateway & Policy Guard" services that enforce Authentication, Role-Based Access Control (RBAC), and PII/ITAR redaction before data ever reaches an LLM.
• On-Premise Optimization:
• Engineer systems for strictly air-gapped or on-premise deployment, optimizing for efficient resource usage on local GPU clusters rather than infinite cloud scaling.
• Reliability Engineering:
• Implement comprehensive logging, tracing, monitoring, and observability mechanisms adhering to EDGE policies ensuring enterprise best practices are followed

Technical Requirements

• Core Languages:
• Expert proficiency in

Python

Go

Java

• Containerization & Orchestration

Docker

Kubernetes

• (k8s) for deploying scalable applications in on-premise environments.
• API Architecture:
• Strong background in designing RESTful APIs and gRPC services.

Experience

• building API Gateways (e.g., Kong, NGINX) for traffic management and security.
• Database Management:
• Proficiency with Relational Databases (PostgreSQL) for transactional data and Vector Databases (Weaviate, Milvus) for semantic search applications.
• Integration Protocols:
• Familiarity with enterprise integration patterns and ERP protocols (OData, SOAP) is a strong plus.

Professional Qualifications

• Experience:
• 5+ years of experience in Backend Engineering, with a focus on building distributed systems or platforms that serve ML/AI models in production.
• Structured Delivery:
• Ability to thrive in a "Governance Collision" environmentdelivering Agile software (Sprints, MVPs) that passes rigorous "Stage Gate" reviews and Systems Engineering audits.
• Operational Mindset:

Experience

• building systems that require high availability and auditability, preferably in Fintech, Healthcare, or Defense sectors.
• Collaboration:
• Proven track record of working with Data Scientists to productize models and Frontend Engineers to deliver seamless user experiences.