• Manages and leads engineering activities during the proposal and design stages of projects that are assigned or supports and supervises employees in this role. • Provides project oversight, including managing engineering scope according to technical contracts, developing change orders, and maintaining project schedules or supports and supervises employees in this role. • Maintains high levels of quality and responsiveness to meet internal and external client requirements in alignment with company expectations. • Oversees engineering activities of team members. • Responsible for reviewing project deliverables and assumes responsible charge as needed. • Completes or supports team in developing tools to improve technical efficiency, accuracy, and quality. • Performs or manages team/company professional development opportunities. • Provides strategic direction, leadership, and technical services oversight for employees on achieving individual, team, department, and organizational performance goals. • Coaches, trains, and develops engineering technical staff for growth and development opportunities. • Participates and supports technical manager in weekly team meetings. • Performs individual performance reviews, training, and professional development for team members. • Supports growth of team through hiring and new business opportunities.

Title: Senior Java Developer Location: Toronto 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 decisions across functions, participates in hiring, and is accountable for the long-term health of the systems they own. This level demands sound judgment on technology and business trade-offs and the ability to act as a technical lead. A defining expectation is mastery of AI-assisted engineering — leveraging agentic AI tools as force multipliers while retaining full ownership of architecture, quality, and technical outcomes. What You'll Bring - 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 - Software architecture and 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 - Cloud-native platforms and infrastructure: 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 - Observability, reliability and deployment: Implementing full observability stacks: structured logging, distributed tracing, metrics, and alerting. SLI/SLO/SLA frameworks. Deployment strategies: Rolling Updates, Blue/Green Deployments, Canary Releases - AI-assisted engineering: 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 What You'll Do - Architecture and technology leadership: Lead high-level design for complex, cross-service features. Evaluate and select appropriate technologies, frameworks, and architectural patterns before delegating implementation. Produce and maintain architecture documentation: design docs, ADRs, tech specs, and wiki pages - Advanced Java feature implementation: Own and implement critical product components — including prototyping, architecture validation, and production-grade code. Ensure correctness, performance, and long-term maintainability with comprehensive test coverage (unit, integration, contract, component) - Technical roadmap contribution: Drive the engineering agenda for assigned product areas. Proactively identify gaps in requirements, architectural limitations, and technical risks. Contribute to product roadmap planning and delivery estimation. Participate in hiring processes - Cross-functional technical communication: Drive technical communication across engineering, product, DevOps, and ML teams. Communicate technical decisions clearly to non-technical stakeholders. Produce design documents and participate in tech talks and knowledge-sharing sessions - AI-augmented engineering: Direct agentic AI tools (Claude Code, Codex, or equivalent) across the full engineering workflow — code generation, testing, refactoring, debugging, and documentation. Demonstrated ability to apply advanced prompt engineering, manage AI context limitations, compose multi-agent orchestration workflows, and critically evaluate AI-generated outputs for correctness, security, and quality. Ability to establish guardrails and improve agent configurations to raise the quality bar. AI proficiency amplifies — it does not replace — deep engineering judgment and technical accountability What We Offer - The opportunity to work on a global, mission-critical AI platform alongside the best engineers and technologists across multiple geographies - A role with real ownership and impact, building complex systems at scale in an environment that values speed, experimentation, and technical excellence - A highly attractive benefits package, including competitive cash compensation, an equity award aligned with long-term value creation, and comprehensive health insurance for employees and their families - Modern, comfortable offices in Montreal/ Toronto downtown, with an expectation of working from the office 1 day per week, reflecting our belief in strong in-person collaboration, while remaining flexible to accommodate remote work for candidates who live in other Canadian cities - A generous time-off policy of 30 days annually, plus public holidays and sick leave, recognising the importance of sustained high performance About Our Process Our selection process is designed to rigorously assess a candidate’s depth of technical knowledge, problem-solving ability, and alignment with Behavox’s mission and core values. As part of the process, candidates will first participate in a series of interviews focused on evaluating their technical expertise and engineering judgment. Candidates who successfully progress through these interviews will then be invited to complete a live technical exercise. The purpose of this live technical assessment is to validate the candidate’s stated technical competencies and assess their ability to solve complex problems with speed, accuracy, and sound engineering judgment. Note that whenever possible, we aim to conduct interviews in person at our offices. We recognise and respect the time candidates invest in this process. In return, Behavox commits significant time and resources to ensure that those who join us have the capability, judgment, and alignment required to operate at the speed and level of complexity our work demands. We value efficiency and clarity on both sides; if at any point we determine that a candidate is not a fit, we reserve the right to immediately conclude the interview or the technical assessment. Please note the following: - A core objective of the process is to objectively assess individual knowledge and competencies. The use of AI tools or external assistance during live interviews or technical exercises is strictly prohibited (unless explicitly instructed otherwise) and will result in immediate disqualification. - Interviews and technical sessions may be recorded for internal review to support fairness, consistency, and collaborative decision-making within the hiring team.

Develop and implement mobile features, collaborate with cross-functional teams to enhance performance, and proactively identify and navigate challenges in mobile architecture and deployment processes to achieve seamless user experiences.

Role Description Millions of self-storage operators rely on Storable's Edge platform every day to run their businesses, from managing tenants and processing payments to generating financial reports and keeping facilities secure. Our focus is for Edge to continue to be so reliable and intuitive that operators can focus on their customers instead of their software. We need someone who can help us on that journey. We're looking for a Staff Software Engineer to help shape the next chapter of our Edge platform. Edge is a large-scale Ruby on Rails application at the center of Storable's ecosystem, and it's at an inflection point. The near-term mission is stabilizing and scaling the platform by improving reliability, reporting performance, database scalability, and payments correctness, while laying the groundwork for longer-term architectural evolution. This role sits at the intersection of deep technical work and collaborative leadership. You'll spend roughly 40–50% of your time contributing directly in the codebase, with the remainder focused on architecture, technical strategy, mentoring, and cross-team alignment. Your impact will extend beyond solving hard problems yourself to helping the engineers around you solve harder ones. We are actively transforming our engineering organization through AI-assisted development practices, and this role will help define how AI is integrated into our software delivery lifecycle, engineering workflows, and platform evolution. If you're energized by the challenge of evolving complex systems at scale, and you care as much about growing the people around you as shipping great software, we'd love to hear from you. We believe that great ideas come from diverse perspectives and inclusive teams. We encourage people of all backgrounds, genders, and experiences to apply, even if you don't meet every qualification listed below. Qualifications - 8+ years of professional software engineering experience, with substantial time in SaaS or product engineering environments. - 3+ years operating at a Staff, Principal, or Lead level (or equivalent scope), including owning architecture, guiding delivery for complex systems, and mentoring other senior engineers. - Demonstrated experience evolving a large, mature codebase (ideally a Rails monolith) toward a more modular, scalable architecture. Requirements - Deep proficiency in a modern server-side framework (Ruby on Rails) and relational databases (Postgres or MySQL), including schema design, indexing, query optimization, and scaling patterns. - Solid understanding of distributed systems concepts and event-driven architectures (background jobs, queues, events/streams). - Strong foundation in testing, CI/CD, observability, and incident response in production environments. - Ability to reason about performance, reliability, and data correctness in financial or similarly sensitive domains. - Comfortable using AI-assisted development tools in your daily workflow and eager to help teams adopt effective AI-augmented engineering practices. - Experience shaping AI-augmented engineering workflows for teams (e.g., multi-agent setups for implementation, test generation, refactoring, or incident analysis). - Demonstrated experience driving adoption of AI-assisted software development practices across engineering teams. - Experience evaluating and implementing AI-augmented workflows such as agent-based development, automated test generation, code migration/refactoring, documentation generation, or incident analysis. - Ability to articulate measurable impact from AI adoption on engineering productivity, quality, or delivery. Benefits - Generous health coverage for you and your family, including fully paid short- and long-term disability coverage and two-times base salary life insurance. - 401(k) match after 60 days, 100% vested after 1 year. - Employer contribution to your HSA, plus an HRA to help offset your deductible. - Instant access to flexible vacation. We trust you, so we have a ‘take what you need’ vacation policy. - Be More – company rewards and recognition that add up and can be redeemed for personalized gifts and experiences. - 8 hours of Volunteer Time Off each year and the opportunity to get active in the community by joining one of our offsite volunteer and community service events. - 8 hours of Rest, Relax, Recharge time to care for your mental health. - Access a range of mental well-being resources for yourself and your dependents, including counseling services, stress management programs, and mindfulness workshops. - Fully paid parental leave: 12 and 6 weeks for primary and secondary caregivers, respectively. - ’Paw’ternity Leave and Pet Bereavement. - Caregiver Leave: four weeks of fully paid time away from work to care for aging dependents or family members, if needed. - $50 monthly home data stipend, plus a home office sign-on bonus of $250. - Fertility care support options to help in your journey towards parenthood. - Access to financial experts to help you make informed decisions and achieve your financial goals. - Direct Student Loan Payment Program, some qualifications and eligibility rules apply.