DevOps Engineer, Behavox
ML Infrastructure
Plus highly competitive cash compensation package
AI insights to safeguard & enhance businesses
Job no longer available
AI insights to safeguard & enhance businesses
201-500 employees
Job no longer available
Plus highly competitive cash compensation package
201-500 employees
Company mission
To transform data into AI insights that safeguard and enhance businesses.
Role
Who you are
- We are looking for fearless innovators who have an insatiable appetite for building what no one has built before
- If you are interested in taking your career to the next level and building the next generation AI Infrastructure then this is the right place for you
- A deep and genuine interest in Behavox as demonstrated by a connection to its mission, marketplace and/or technologies
- Linux system administration expertise, solid knowledge of Linux and networks
- Designing and managing infrastructure in a public cloud (AWS, GCP)
- Hands-on experience with Kubernetes
- Development and scripting skills (Python, Bash)
What the job involves
- Behavox is shaping the future for how businesses harness their most important raw material - data. Our mission is bold: Organize enterprise data into actionable information that protects and promotes the business growth of multinational companies around the world
- From managing enterprise risk and compliance to maximizing revenue and value, our data operating platform presents a widespread opportunity to build multilingual, AI/ML-based solutions that activate data for every function within a global enterprise
- Our approach is unique, and it’s validated by our customers who tell us to keep forging ahead because no one else is aggregating, analyzing, and acting on data to uncover opportunities or solve problems quite the way we are
- The Machine Learning Operations team at Behavox designs and builds the next-generation cutting-edge tooling, infrastructure, and web interfaces that enable the building of efficient ML models, including LLM
- We are exposed to a wide range of interesting challenges that include (but are not limited to): building infrastructure that enables scalable development of ML models; building scalable and secure data infrastructure; development and deployment of ML services
- As a DevOps Engineer, you will work on Kubernetes-based infrastructure in AWS and GCP, CI/CD/CT processes for ML models and services, data infrastructure
- Manage and troubleshoot complex distributed large-scale software systems
- Build scalable, secure and reliable container-based infrastructure
- Design the cloud infrastructure
- Automate software delivery processes with CI\CD pipelines
- Develop tools, services, and scripts (Python)
Application process
- We take Talent very seriously and we are building a community of extraordinary individuals working together in very high performing teams. We also know that the best Talent always has options so we believe that the process has to be a two way assessment - the company AND the candidate assessing the business needs alignment, the career next step alignment, and the cultural alignment
- 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. We may record interviews for training purposes
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 over the years, keeping the platform up-to-date with developing tech.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 5 rounds)
Feb 2020
$100m
LATE VC
Dec 2018
$70m
LATE VC
Total funding: $179.9m
Company benefits
- Equity options
- 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
Vauxhall, London, UK
Leadership
Erkin Adylov
(CEO & Co-founder)Previously co-managed a hedge fund focusing on financial technology companies, and was a research analyst at Goldman Sachs.
Slav Slavinski
(Chief of Staff & Co-founder)Previously a corporate finance executive, who also trained as a software developer.
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