About the Role

The Behavox Platform is a scalable, fault-tolerant and highly performant storage and processing system which allows us to manage and analyze massive volumes of data. We have an extensive and flexible set of APIs to develop products that allow our clients to work through millions of data items, by searching, filtering, and visualizing relationships between entities in the system.

As a Site Reliability Engineer you will be responsible for the availability, latency, performance, efficiency, change management, monitoring, emergency response, and capacity planning of all production systems and services. You will work together with other DevOps, Product and Engineering teams to design and implement SRE practice at Behavox to build foundational infrastructure allowing to support the rapid growth of the Behavox client base.

This is an incredible opportunity to discover the world of high-load data processing and face the challenges of distributed Big Data systems. It will also provide you the opportunity to:

1. Work with high load and business-critical services that will have a big impact on the company

2. Implement your ideas in an environment that strives for continuous improvement

3. Be part of a fast-growing dynamic company and with modern technologies

More information about the tools and solutions used at Behavox can be found on our engineering blog https://blog.behavox.engineering

What You'll Bring

• A deep and genuine interest in Behavox as demonstrated by a connection to its mission, marketplace and/or technologies
• 5+ years of experience as an SRE/DevOps engineer responsible for deployment and maintenance of production systems
• Experience with Public Clouds (GCP/AWS). Knowledge of Google cloud Dataflow, Cloud Functions, Pub/Sub or similar AWS technologies would be a plus
• Automation skills - SaltStack or equivalent tools(Ansible), knowledge of programming languages (Python, Golang, Java)
• Experience with CI/CD and orchestration tools Terraform, Nomad/Kubernetes, Consul, Jenkins, Gitlab

What You'll Do

• Perform deployment and maintenance of high-load and large-scale distributed storage and data processing systems in Public clouds
• Monitor, develop and troubleshoot applications to resolve issues, lead incident support, be part of the on-call team
• Automate routine operations using Python / Golang
• Maintain cloud based services in the public cloud providers (GCP/AWS)
• Administer and troubleshoot Linux operating systems and networks

What We Offer

• A truly global mission with a passionate community in locations all over the world
• Huge impact and learning potential as our aspirations require bold innovation
• Highly competitive compensation with 100% bonus pay already integrated
• Benefits include fully covered health coverage for employee and family
• Generous time-off policy and flexible work schedule

About Our 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.

Please note that:

• We want to get to know you and have a genuine conversation, so the use of AI tools or assistance during live interviews is strictly prohibited and will result in immediate disqualification from the process
• Interviews may be recorded for internal review purposes to ensure fairness and enable collaborative hiring discussions within the team.