Behavox

AI

SeniorSoftwareEngineer(JAVA)

Toronto, Canada; Canada Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Software Engineer (JAVA) at Behavox. Skills: Expert Java engineering, Software architecture and design patterns, Cloud-native platforms and infrastructure, AI-assisted engineering. Driving technical direction across core product domains. Deep hands-on Java engineering”

What You'll Achieve.

Execution; Winning by building what others cannot; Retaining full ownership of architecture, quality, and technical outcomes; Raising the quality bar

Industry & Context.

AI
Problems you'll solve

Determines the right approach to complex problems; Problem-solving ability; Solve complex problems with speed, accuracy, and sound engineering judgment

Eligibility Requirements

Working from the office 1 day per week (Montreal/Toronto downtown), Use of AI tools or external assistance during live interviews or technical exercises is strictly prohibited unless explicitly instructed otherwise

What They're Looking For.

Must Have

Expert Java engineering, Deep understanding of Java internals — GC tuning, Collections Framework, advanced concurrency (java. util. concurrent, multithreading), NIO/NIO2, performance profiling, and heap-dump analysis, Mastery of Spring Framework (IoC/DI, bean lifecycle, Spring Boot), SOLID principles, Clean Code practices, and GoF design patterns, Expertise in monolith and microservices architectural styles — including migration patterns and domain-driven decomposition, Inter-process communication design (REST, gRPC, messaging), transaction management in distributed systems (Sagas, 2PC), CQRS, Event Sourcing, and external API design focused on scalability, security, and documentation, Experience designing high-availability and high-load systems on GCP (preferred), AWS, and Azure, Cloud security best practices: IAM, VPC, data encryption, JWT/JWS/JWE, Infrastructure as Code (Terraform or equivalent) and Twelve-Factor App methodology, Implementing full observability stacks: structured logging, distributed tracing, metrics, and alerting, SLI/SLO/SLA frameworks, Deployment strategies: Rolling Updates, Blue/Green Deployments, Canary Releases, Practitioner-level command of agentic AI tools applied to software engineering — encompassing prompt engineering techniques, AI context management and its limitations, sub-agents, skills and plugins, multi-agent orchestration, and team-of-agents architectures, Experience with Claude Code (Anthropic), Codex (OpenAI), or equivalent is mandatory

Nice to Have

GCP experience

What You'll Do.

Driving technical direction across core product domains

Deep hands-on Java engineering

Architectural ownership

High-level system design

Leading delivery of critical

cross-cutting platform capabilities

Determining the right approach to complex problems

Accountable for the long-term health of the systems they own

Leading high-level design for complex

cross-service features

Evaluating and selecting appropriate technologies

and architectural patterns

Producing and maintaining architecture documentation (design docs

Owning and implementing critical product components

Architecture validation

Production-grade code implementation

and long-term maintainability

Driving the engineering agenda for assigned product areas

Proactively identifying gaps in requirements

architectural limitations

Directing agentic AI tools across the full engineering workflow (code generation

How You'll Work.

Team & Collaboration

Communicating technical decisions across functions; Cross-functional technical communication (engineering, product, DevOps, ML teams); Communicating technical decisions clearly to non-technical stakeholders; Participating in tech talks and knowledge-sharing sessions; Collaborative decision-making within the hiring team

Communication Scope

Communicating technical decisions across functions; Communicating technical decisions clearly to non-technical stakeholders; Producing design documents; Participating in tech talks and knowledge-sharing sessions

Process & Methodology

Delivery estimation

Full Job Description

About Behavox Behavox is a cloud-native AI company providing an integrated controls platform for global banks, asset managers, hedge funds, private equity firms, insurance businesses, and commodity firms. The platform unifies communications and trade surveillance, compliant archiving, policy management as well as front-office analytics on a single, AI-native technology stack, delivered as a globally scalable SaaS-based cloud service. At Behavox, our engineering culture is built around speed, experimentation, and technical excellence, following agile principles and rapid iteration. We constantly test and adopt the latest cloud technologies and AI tooling, optimising for fast feedback loops and execution. We look for people who can move fast, challenge conventional wisdom, and who want to work at the frontier of modern AI, SaaS platforms, and distributed systems. Behavox is a high-performance organisation with a strong bias toward delivery, ownership, and responsibility. We commit, and we execute. We are building systems that are complex, mission-critical, and global in scale; systems that many consider too large or too difficult. To do that, we seek the smartest, most technically capable engineers and technologists who take end-to-end responsibility and want to win by building what others cannot. Founded in 2014 and backed by SoftBank Vision Fund, Behavox is headquartered in London, with offices worldwide, including New York City, Montreal, Seattle, Singapore, and Tokyo. About the Role The Software Engineer (Java) operates at a senior engineer level, driving technical direction across core product domains. The role combines deep hands-on Java engineering with architectural ownership — from high-level system design and technology selection to leading delivery of critical, cross-cutting platform capabilities. At this level, engineering excellence extends beyond implementation: the engineer determines the right approach to complex problems, communicates technical decisi

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