Java Developer 3

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) at BCL3 designs, develops, and evolves backend services that support core product capabilities. The role focuses on delivering production-grade features that may span multiple services, with attention to correctness, scalability, and maintainability in distributed systems.

At this level, the engineer works autonomously within established technical direction, owning components or services end to end from a technical perspective. The role requires independent problem solving, sound engineering judgment, and accountability for design decisions and code quality in systems operating at scale.

What You'll Bring

1. Advanced Java backend development: Knowledge of Java language features, concurrency constructs, and backend frameworks used to build scalable services.
2. Large scale Distributed service architectures: Understanding of multi-service architectures, inter-service communication patterns, and data flow across distributed systems.
3. Cloud-native platforms: Knowledge of building and running services on cloud platforms such as GCP, AWS, Azure, OCI, or equivalent, with GCP preferred.
4. Data persistence at scale: Knowledge of databases and data stores (SQL and NoSQL) handling large data volumes, including performance characteristics and schema evolution.
5. Software development lifecycle: Understanding of requirements breakdown, design, implementation, testing, code review, deployment and supportability of owned features within a controlled SDLC.

What You'll Do

1. Software development lifecycle execution: Owns the delivery of assigned features through cross discipline collaboration, requirements analysis, design, implementation, testing, code review, deployment readiness and supportability within established SDLC processes.
2. JAVA feature implementation: Implements well-defined features and enhancements spanning multiple services in Java with correct logic, tests (unit, integration, contract) ensuring backward compatibility and adherence to existing design patterns.
3. Cloud-native service development: Builds and operates Java services using cloud-native deployment and runtime patterns aligned with supported platforms, balancing cost, performance and scale.
4. Database interaction: Designs and implements data access logic, writes efficient queries, and safely evolves schemas within defined constraints.
5. Scalability-focused development: Implements solutions that handle high concurrency and large data volumes through appropriate use of concurrency, caching, service boundaries, and horizontal and vertical scaling strategies.

What We Offer & Expect

1. The opportunity to work on a global, mission-critical AI platform alongside the best engineers and technologists across multiple geographies.
2. A role with real ownership and impact, building complex systems at scale in an environment that values speed, experimentation, and technical excellence.
3. 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.
4. A modern, comfortable office in central Lviv, with an expectation of working from the office three (3) days per week, reflecting our belief in strong in-person collaboration, while remaining flexible to accommodate occasional personal circumstances that may require working from home.
5. 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 with a group of Behavox engineers and engineering managers. 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.