We are seeking a Senior DevOps Engineer to join our team.
As a DevOps Engineer and lead the effort in designing, building, deploying and maintaining our companys infrastructure, deployment pipelines, and continuous integration/delivery workflows.
You will work closely with development teams to ensure efficient and reliable software delivery, as well as identify and implement improvements to our systems and processes.
Responsibilities:
Design, implement, and maintain highly available and scalable infrastructure on cloud platforms such as AWS, Azure, or GCP.
Build and maintain deployment pipelines
Design and implement data pipelines to support various data processing needs across the organization.
Work closely with development teams to ensure code is deployed efficiently and reliably while maintaining high standards of security and performance.
Identify and implement improvements to our systems and processes, including automation and monitoring solutions.
Troubleshoot and resolve issues related to infrastructure and deployments.
Collaborate with cross-functional teams to ensure seamless integration of new features and technologies.

We're seeking a talented, passionate, and experienced DevOps Engineer to join our team. The ideal candidate will have a strong background in building and maintaining scalable environments, a commitment to quality, and a collaborative work ethic. They should also have a passion for new technologies, with a craving to work in a fast-paced environment, utilizing advanced cloud technologies and methodologies like K8s, GitOps, and IaC.



Main Responsibilities:

Design and implement CI/CD pipelines.
Automate the provisioning, deployment, and management of AWS environments for development, staging, QA, and production.
Optimize infrastructure for scalability and cost-efficiency.
Streamline processes through the automation of repetitive tasks and workflows.
Establish and maintain robust monitoring systems to ensure application and system health.
Enforce security best practices and compliance standards for software and infrastructure.

Required Database Architect
Job Description:
Responsible for designing and optimizing our large-scale database infrastructure according to high availability, scalability, and performance principles
Identify new areas for cost-effective improvement in current databases
Explore new features, versions, and databases according to requirements
Work with developers and software architects in modeling, creating and maintaining data structures and our data layer
Lead and execute technical DB-related POCs and benchmarks
Auditing database design regularly to maintain quality and SLA demands
Quickly identify and resolve critical and hard production issues
Provide on-call support when needed.

We are seeking an experienced Senior Backend Engineer with a passion for tackling complex challenges across a diverse range of technologies.
Your role will involve a deep commitment to software design, code quality, and performance optimization.
As part of our Engineering team , your mission will be to empower critical infrastructure by enabling the detection, investigation, and response to complex attacks and data breaches on their networks.
As a Senior Backend Engineer, you will take a lead role in developing the backend infrastructure to efficiently handle, process, and store massive volumes of data.
Your expertise will play a crucial part in building a scalable, high-performance backend system that serves as the foundation for other services within the platform. Additionally, you will be responsible for translating intricate requirements into meticulous and actionable backend designs.
Responsibilities:
Be a significant part of the development of backend infrastructure to efficiently handle, process, and store vast volumes of data.
Architect and build a scalable, high-performance backend system that supports various services within the platform.
Translate intricate requirements into meticulous backend design plans, maintaining a focus on software design, code quality, and performance.
Collaborate with cross-functional teams to implement backend and data-handling techniques.
Apply your expertise in Core Linux, SQL, and scripting languages to create robust backend solutions. Leverage your proficiency in cloud platforms such as AWS, GCP, or Azure to drive strong backend engineering practices.
Demonstrate strong debugging skills, identifying issues such as race conditions and memory leaks within the backend system. Solve complex backend problems with an analytical mindset and contribute to a positive team dynamic.
Bring your excellent interpersonal skills to foster collaboration and maintain a positive attitude within the team.

We are seeking an experienced DevOps Team Leader to head our DevOps team as part of our Platform and DevOps Engineering group.
As a DevOps Team Leader, you will be responsible for overseeing the design, development, and deployment of our sophisticated DevOps solutions across cloud and on-premises environments.
This role involves leading a team of DevOps engineers, driving best practices in code, architecture, and infrastructure management while ensuring high availability and optimal performance of our services.
Responsibilities:
Lead and mentor a team of DevOps engineers in building and maintaining the best solutions for our production platform.
Champion an 'Everything as Code' approach: manage our infrastructure using a wide range of technologies including Ansible, Terraform, and Kubernetes.
Oversee the creation and maintenance of tools for automation, deployment, monitoring, and operations.
Drive troubleshooting and resolution of issues in our development, production, and test environments.
Foster a culture of excellent communication, collaboration, and innovation within the team.
Ensure continuous professional development and upskilling of team members to keep pace with technological advancements.

As the Vice President of Data , you will hold a critical leadership position responsible for driving strategic decisions through advanced quantitative analysis and data Science. Your expertise will be instrumental in cross-departmental collaboration with product marketing, customer service, and operations teams to ensure alignment and synergy across all areas of the business.

Responsibilities:

Lead and mentor multiple teams of Analysts, Data Scientists and Data Engineers.
Initiate & manage cutting-edge projects from ideation to delivery, including developing automated solutions.
Evaluate and improve the companys KPIs through data.
Collaborate closely with Stakeholders from Product, Marketing, Operations, Customer support and Finance and initiate data driven decisions and solutions.
Lead the analysis of complex datasets to extract valuable insights, trends, patterns, and anomalies that drive strategic decisions.
Lead the building and upgrade of existing data infrastructure to cope with performance, scalability, and growth.

We are seeking a highly skilled and motivated Cyber Data Analyst to join our dynamic team.
The ideal candidate will be proficient in working with both structured and unstructured data, utilizing a variety of databases including GraphDB, VectorDB, ColumnDB, Elasticsearch, and other NoSQL databases.
This role involves leveraging Python to explore data, extract insights, present trends, and make predictions.
Responsibilities:
Advanced Data Exploration: Apply Python and statistical tools to deeply explore structured and unstructured data across various database technologies (GraphDB, VectorDB, ColumnDB, Elasticsearch, and NoSQL).
Insight and Trend Analysis: Extract meaningful insights from complex data sets to identify trends, patterns, and anomalies.
In-depth Research: Research up-to-date threat-intelligence repositories and automate data enrichments into the platform.
Data-Driven Cybersecurity Analysis: Utilize advanced statistical methods and mathematical modeling to analyze data for potential threats and vulnerabilities, focusing on patterns and anomalies that could indicate security incidents.
Collaborative Insight Sharing: Work alongside cross-functional teams to communicate complex data findings. Prepare and present reports that translate intricate data insights into actionable intelligence for both technical and non-technical stakeholders.
Continuous Skill Enhancement: Stay updated with the latest statistical methods, data analysis techniques, and advancements in AI, including machine learning and deep learning, to continually improve cybersecurity data analysis practices.

We are growing and looking for a talented Data Analyst to join our product data team.
The Data Analyst will use analytical and technical skills together with strong business and product understanding to ensure the product fully and accurately utilizes the customers data, producing the best solution possible.
Responsibilities:
Work closely with other business and development units and lead the onboarding process of new customers, to deliver high-quality data-centered solutions.
Perform data modeling, wrangling, analysis, and mapping as part of the integration architecture.
Support and expand existing customer data integration solutions to accommodate product evolution in accordance with customer needs.
Guide customers to success by explaining data related subjects and resolving complex logical and business issues through professional discussions.

We are looking for a brilliant, quick-learner Data Engineer for our data engineering team - an independent logical thinker who understands the importance of data structuring for macro-business decisions.
The position combines high technical skills with business orientation, working closely with the analysts and the R&D team, and affecting the company's cross-departments decisions directly. Our Data Engineer should have the ability to speak in technical and practical terms, and more importantly, lead from one to the other, while dealing with challenges and creating them - to make our team even better than it is.
Roles and Responsibilities:
Creating and structuring end-to-end data pipelines & ETLs: from the source all the way to the analysts hands, enabling them the ideal conditions to make smart and data driven business decisions.
Cracking top industry data challenges while initiating and building creative technical solutions - in house Device Graph, Server-to-Server to multiple systems, Privacy challenges, Online-to-Offline and more.
Deep understanding of the business needs, technical requirements and the companys roadmap - and translating it into custom made data solutions and scalable products.
Craft code following best practices to ensure efficiency, while integrating CI/CD principles.
Writing multi-step scalable processes from more than 50 data sources - Marketing. Operations, CS, Product, CRM and more... tying them up to a valuable & useful source of insights for the analysts.
Understanding data challenges and weaknesses, and managing high standards monitoring and reliability processes.

We are seeking for a Senior Endpoint Engineer Tech Lead to join our team and lead the effort in Endpoint Sensor development.
As Technical Leader you will be heading the activity of designing, implementing, and maintaining our endpoint sensor (Agent) software offering across all supported operating systems, as well as their accompanying APIs, supporting ever growing scale and collecting data in highly challenging deployments.
You will work closely with other sensor and analysis teams to ensure efficient and reliable data flow, overcoming complexity and implementing highly requested customer features.
Responsibilities:
Lead other senior developers developing endpoint sensors, ensuring high coding standards (testing, maintainability), process adherence (sprint planning, documentation) and overall low footprint and high performance.
Design, implement, and maintain endpoint sensors on Windows, MacOS and several Linux distros, as well as their corresponding installation process and shared APIs.
Identify and implement improvements to our systems and processes, from business logic, through the addition of data sources to monitoring.
Troubleshoot and resolve issues related to sensor-endpoint deployment in various operating systems.
Work closely with other development teams to define APIs and Schema to ensure data reliability, availability, and correctness across the system.