Java Developer, Behavox

MSD

Salary not provided

+ Performance bonuses

SQL

AWS

GCP

Python

Java

Kafka

Postgres

Cassandra

MySQL

Azure

Redshift

HBase

RabbitMQ

Data Flow

Snowflake

BigQuery

Senior and Expert level

London

Communication surveillance for security & compliance

Be an early applicant

Communication surveillance for security & compliance

101-200 employees

FintechB2BArtificial IntelligenceSecurityComplianceDeep TechSaaS

Be an early applicant

Salary not provided

+ Performance bonuses

SQL

AWS

GCP

Python

Java

Kafka

Postgres

Cassandra

MySQL

Azure

Redshift

HBase

RabbitMQ

Data Flow

Snowflake

BigQuery

Senior and Expert level

London

101-200 employees

FintechB2BArtificial IntelligenceSecurityComplianceDeep TechSaaS

Company mission

To use artificial intelligence to pinpoint and identify illegal, immoral and malicious insiders and protect the workplace and digital headquarters.

Job

Company

Role

Who you are

A deep interest in Behavox’s mission and products
5+ years building scalable, reliable, cloud-native backend systems using Java (GCP preferred, AWS/Azure acceptable)
Experience designing containerized or serverless components in large-scale distributed systems
Proficiency with SQL, both OLAP and OLTP (MySQL, PostgreSQL, BigQuery, RedShift, Snowflake) and NoSQL (ScyllaDB, HBase, Cassandra, BigTable) data stores
Experience working in or building systems for the financial domain (e.g., trading, market data analytics)
Familiarity with message brokers like Kafka, Google Cloud Pub/Sub, RabbitMQ
(Nice to Have) Proficiency with Python and a strong testing mindset (unit, integration, contract, e2e)

What the job involves

As a Software Engineer at Behavox, you will help build and evolve our cutting-edge Mosaic platform
You’ll join a high-performing team of engineers, working on problems across distributed systems, real-time analytics, and large-scale data ingestion pipelines
You'll collaborate closely with product managers and fellow engineers to deliver innovative solutions used by top-tier financial institutions worldwide
You’ll have full ownership of features—from design to deployment—and the autonomy to make technical decisions while being supported by a team of experts
Our culture emphasizes continuous learning, code quality, and delivering business impact
Our tech stack includes Java 17+, Python, GCP (Pub/Sub, DataFlow, Cloud Run, Cloud Functions), PostgreSQL, BigQuery, and a host of modern DevOps and observability tools
We prioritize clean code, testability, and frequent refactoring to maintain a healthy development lifecycle. You'll always work with the latest frameworks and contribute to evolving our architecture
Design and implement scalable, cloud-native services in Java
Collaborate with team members during planning, technical discussions, and code reviews
Take end-to-end ownership of features and deliver with autonomy
Analyze product requirements and propose implementation strategies
Write and maintain automated tests at all levels (unit, integration, contract, component, E2E) to uphold high product quality

Application process

During the process we will begin by exploring the core factors regarding salary and location along with core experience and skills and values alignment. We will then deep dive explore the critical technical competencies we have identified for the role, and then we will deep dive in behavioral competencies
The most aligned candidate will then be asked to do a practical work task simulation activity so we can make sure that you will enjoy the kind of work the role requires, and this task will typically be presented and discussed with a group of colleagues and managers
Finally we will ask you to meet with a number of our senior leaders to make sure that you are making the most informed call possible
Please note that interviews and assessments may be recorded, and must be completed independently without the use of AI tools or interview-assistance platforms

Salary benchmarks

Our take

The volume of communications in the workplace is going up. Not only do people send emails, but now employees are communicating all day through internal chat platforms like Slack. Behavox helps companies make sense of the vast amount of data being produced from all of these messages.

The company uses AI and machine learning to aggregate and analyse large volumes of unstructured communications. The data produced can be used to create actionable insights on employees' performance and also help risk and compliance teams to identify bad actors.

Regulation is high for financial services companies, and it's likely to grow in other industries, increasing Behavox's potential addressable market. The company has continued to develop its offering, with a number of updates released throughout 2023, keeping the platform up-to-date with developing tech.

Steph

Company Specialist at Welcome to the Jungle

Insights

Rocket List 2021

Top investors

36% female employees

-9% employee growth in 12 months

Glassdoor (3.6)

Company

Funding (last 2 of 5 rounds)

Feb 2020

$100m

LATE VC

Dec 2018

$70m

LATE VC

Total funding: $179.9m

Company benefits

Equity & ownership
Options as a reward for making great contributions to the company and our customers
Health insurance for the whole family, free of charge
World-class relocation program with visa and citizenship sponsorship
Great office culture
OKR-based management

Company HQ

Financial District, New York, NY

Leadership

Erkin Adylov

(CEO)

Previously co-managed a hedge fund focusing on financial technology companies, and was a research analyst at Goldman Sachs.

Slav Slavinski

(Chief of Staff)

Previously a corporate finance executive, who also trained as a software developer.

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