Principal Backend Java Engineer – Platform (CE100SF RM 3771)

Position: Principal Backend Java Engineer – Platform (CE100SF RM 3771)

Responsibilities

• Architect, design, and build core backend services for data ingestion, APIs, and real-time event processing across applications, infrastructure, and IAM domains.
• Develop event-driven pipelines integrating data from GitHub, SAST tools, AWS Cloud, CI/CD logs, and security scanners.
• Define and maintain domain schemas (ECS-style) to normalize multi-source telemetry and enable correlation across app, infra, and identity data.
• Implement and optimize NoSQL and graph-based persistence layers using Firestore, MongoDB, and Neo4j.
• Build and secure multi-tenant APIs with robust authentication, RBAC, and contextual access control (OAuth2, JWT).
• Collaborate with AI/ML and frontend teams to expose explainable, composable APIs that power Cognia’s reasoning and visualization layers.
• Design and oversee data contracts, event schemas, and message queues for inter-service communication.
• Lead architecture discussions, perform code and design reviews, and mentor engineers on backend best practices.
• Own DevOps integration for backend services — ensuring reliable deployment, observability, and scalability (AWS).
• Define and enforce engineering standards, including API versioning, error design, security policies, and testing frameworks.
• Define the architecture blueprint that supports the AI reasoning engine, telemetry ingestion, and explainable APIs
• Establish customer’s core backend foundation
• Mentor engineers and raise the technical bar across the team.

Requirements

• 8–10 years of backend engineering experience, with at least 3 years in microservices
• Deep expertise in microservice architecture, RESTful API design, and asynchronous/event-driven systems.
• Strong proficiency in Java
• Experience architecting and scaling data-intensive SaaS platforms using Firestore, MongoDB, and Neo4j (or equivalent).
• Proven experience building multi-tenant, secure systems with OAuth2, JWT, RBAC, and audit logging.
• Solid understanding of cloud-native architectures — containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines.
• Hands-on experience with AWS and infrastructure automation (Terraform, Cloud Build, GitHub Actions).
• Experience with Pub/Sub, Kafka, or other event-streaming systems for large-scale telemetry processing.
• Strong background in secure API development, data modeling, and runtime observability (logging, metrics, tracing).
• Excellent communication and mentoring skills — able to guide cross-functional teams and make sound architectural decisions with minimal oversight.

Bonus Skills

• Experience with security data processing, AppSec, or DevSecOps tooling (e.g., Snyk, SonarQube, CodeQL).
• Familiarity with RAG/LLM-based pipelines or AI-driven services (collaboration with AI/ML teams).
• Exposure to GraphQL, gRPC, or OpenAPI-first design.
• Understanding of data lineage, provenance, or knowledge graph architectures.

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