Java/ Spring Boot Developer- Upgrade & Modernization

Job Title: Java Architect / Principal Software Engineer Location: Downtown Toronto, ON Hire Type: Contract Role Summary We are looking for a

Staff/Principal Software Engineer

who thrives in ambiguity, builds systems from the ground up, and ships quickly. This is a highly hands-on

Individual Contributor (IC)

role with significant architectural influence. The ideal candidate will be responsible for both

system architecture and hands‑on implementation , working at the intersection of

edge computing, backend services, AI/ML platforms, and data science . Key Responsibilities Design and build end‑to‑end signal flows, including edge detection, ingestion APIs, processing, storage, and downstream routing. Architect edge‑layer solutions across edge‑worker runtimes and CDN‑layer compute for token detection, header manipulation, and signal capture with minimal latency impact. Build backend services using

Java Spring Boot , including APIs, validation/normalization pipelines, data persistence, and platform foundations. Define integration patterns for third‑party vendors, including identity and trust providers. Implement JWT validation, public‑key caching, and deterministic signal ingestion. Build platform capabilities supporting

ML inference , including structured data access layers, feature pipelines, and model‑registry integration. Make technology decisions around storage, transport reliability, observability, security, and governance on AWS. Drive rapid prototyping, demos, iterative architecture refinement, and production implementation. Work closely with Data Science, Product, Engineering, and partner teams. Must-Have Skills & Experience 10+ years

of experience building production‑grade distributed systems. Strong

Java and Spring Boot

expertise. Strong system design and architecture experience. Proven experience taking

greenfield projects from 0 to 1 . Experience selecting technologies/frameworks and building the initial architecture from scratch. Hands‑on implementation experience -

must be a strong coder, not an architecture‑only candidate . Experience building features supporting

ML inference pipelines , data normalization, feature pipelines, model serving, or similar AI/data platforms. Strong experience with

AI‑assisted development tools , such as GitHub Copilot, LLM‑powered workflows, or agentic coding assistants. Strong AWS experience across compute, storage, networking, and IAM. Experience with edge computing/CDN execution environments such as Edge Workers, CDN Functions, , or equivalent. Experience with microservices and event‑driven architectures. Excellent communication and stakeholder management skills. Ability to independently drive technical decisions in an ambiguous environment. Critical Client Expectations The client is specifically looking for candidates who: Have

greenfield/0‑to‑1 project experience

and have personally selected and established the technology framework. Are highly experienced with

AI‑assisted development while remaining strong hands‑on engineers . Demonstrate exceptional

system design and architecture

capabilities. Have strong

implementation and coding experience . Communicate clearly and confidently with technical and non‑technical stakeholders. Are naturally

curious and probing

- candidates should ask why, what, when, where, and how rather than simply agreeing with requirements. Can challenge assumptions, identify gaps, and propose thoughtful technical solutions. Thrive in a fast‑paced, startup‑like environment with evolving requirements. Nice‑to‑Have Identity, trust, or security domain experience. Python experience for data engineering or scripting. Databricks or similar AI/data platform experience. Observability at scale, including distributed tracing, structured logging, and dashboards. Experience with multi‑party integration platforms or network services. Open‑source contributions or community involvement.

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