Behavox

AI

SeniorSoftwareEngineer(JAVA)

CA$135–195k ~AI est. 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: Java engineering, Software architecture, Cloud-native platforms, AI-assisted engineering. Drive technical direction. Lead high-level design”

Industry & Context.

AI
Problems you'll solve

Complex problems; Sound judgment

Eligibility Requirements

Work from office 1 day per week

What They're Looking For.

Must Have

Expert Java engineering, Mastery of Spring Framework, SOLID principles, Clean Code practices, GoF design patterns, Expertise in monolith and microservices, Inter-process communication design, Transaction management in distributed systems, CQRS, Event Sourcing, External API design, Experience designing high-availability systems, Experience designing high-load systems, Cloud security best practices, Infrastructure as Code, Twelve-Factor App methodology, Implementing full observability stacks, SLI/SLO/SLA frameworks, Deployment strategies, Practitioner-level command of agentic AI tools, Experience with Claude Code, Experience with Codex, Experience with equivalent AI tools

Nice to Have

GCP experience preferred

What You'll Do.

Drive technical direction

Lead high-level design

Evaluate technologies

Select architectural patterns

Delegate implementation

Produce architecture documentation

Maintain architecture documentation

Own product components

Implement product components

Validate architecture

Write production-grade code

Ensure maintainability

Drive engineering agenda

Contribute to roadmap planning

Contribute to delivery estimation

Participate in hiring processes

Drive technical communication

Communicate technical decisions

Direct agentic AI tools

Apply prompt engineering

Manage AI context limitations

Compose multi-agent orchestration

Improve agent configurations

How You'll Work.

Team & Collaboration

Cross-service features; Across engineering; Across product; Across DevOps; Across ML teams

Communication Scope

Technical decisions; Non-technical stakeholders; Tech talks; Knowledge-sharing sessions

Process & Methodology

Roadmap planning

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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