We are looking for highly experienced, hands-on Senior Java Engineers (Architects /Technical Leads with strong hands-on Software Engineering background) to join an innovation-focused on Agentic AI initiatives.

This is a hands-on IC role with significant architectural influence - you'll design the system and write the code. You'll work at the intersection of edge computing, backend services, and AI/ML platforms, collaborating closely with data science to build the foundation for trust-signal processing and machine learning inference.

What You'll Do

$B!|(B Design and build the end-to-end signal flow: CDN/edge detection -> ingestion APIs -> processing -> sandbox storage -> downstream routing

$B!|(B Architect edge-layer solutions across edge-worker runtimes and CDN-layer compute for KYA token detection,

header manipulation, and signal capture with minimal latency impact

$B!|(B Build backend services in Java Spring Boot: External Signals Collection API, signal validation/normalization pipelines, data persistence, and API foundations for the Agentic Trust Service

$B!|(B Define integration patterns for third-party vendor connectivity (KYA providers, identity vendors) including JWT validation, public-key caching, and deterministic signal ingestion

$B!|(B Ship platform features for ML inference - structured data access layers, feature pipelines, and model-registry integration points that enable data science to move from exploration to production

$B!|(B Make technology decisions on storage, transport reliability, observability, and governance for non-production environments on AWS

$B!|(B Operate with startup-like speed - move fast through prototype cycles, demo prep, and iterative architecture refinement

What We're Looking For

Must-Have





Area Expectation

- 8+ years of hands-on Java backend development experience.
- Strong expertise in Java, Spring Boot, and Microservices .
- Proven experience in software design, architecture, and end-to-end implementation .
- Hands-on experience with GitHub Copilot and/or Claude as part of the software development lifecycle.
- Positive understanding of AI/ML concepts and AI-assisted software development.
- Experience working with Agentic AI , AI agents, workflows, skills, or AI-powered coding tools.
- Strong system design and problem-solving skills.
- Excellent communication and collaboration skills.

Ability to work independently in ambiguous environments with minimal supervision Area Expectation

- Backend Deep expertise in Java Spring Boot - API design, microservices, event-driven architectures
- Cloud Strong AWS experience (compute, storage, networking, IAM)
- Edge/CDN Hands-on experience with edge computing and CDN execution environments (edge
- workers, CDN functions, Lambda@Edge, or equivalent)
- Languages Deep expertise in Java and/or the ability to work effectively in
- JavaScript/TypeScript-based edge runtimes

Nice-to-Have •

Identity, trust, or security domain experience (JWT/JWS, PKI, OAuth 2.0, bot detection, token verification)

- Python proficiency for data engineering or scripting
- Databricks or similar AI/data platform experience
- Experience with observability at scale (distributed tracing, structured logging, dashboards)
- Prior work on multi-party integration layers or network/platform services
- Open-source contributions or community involvement

Tech Stack

Key Skills:: 1) Solid 8 yrs in microservices

2.full stack strong backend experience

3.strong AI focussed experience using Java as backend

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📌 Senior Java Software Engineer (Greater Toronto Area)
🏢 New York Technology Partners
📍 Greater Toronto Area