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our company's Infinity External Risk Management, otherwise known as Cyberint, continuously reduces external cyber risk by managing and mitigating an array of digital threats with a unified solution.
At Cyberint, we help organizations protect their digital presence by delivering cutting-edge Attack Surface Management (ASM) and Threat Intelligence (TI) solutions. As a member of our R&D organization, youll play a key role in ensuring the scalability, reliability, and performance of our cloud-native SaaS platform operating at scale.
Key Responsibilities
As a DevOps Engineer, you will be a core member of our DevOps & Infrastructure team, focused on building and maintaining distributed, scalable, and highly available systems in a dynamic SaaS environment. You will collaborate closely with development, QA, and support teams to enhance automation, improve CI/CD pipelines, and drive operational excellence across the board.
Key Responsibilities:
Design, build, and maintain infrastructure in a modern cloud-native SaaS ecosystem (primarily AWS).
Contribute to the scalability and reliability of distributed systems supporting high-volume data processing and real-time operations.
Develop and enhance CI/CD pipelines to support rapid and reliable deployments across multiple environments.
Implement and manage Infrastructure as Code (IaC) using Terraform for consistent, scalable infrastructure.
Operate and optimize Kubernetes (EKS) clusters to support distributed microservices architectures.
Monitor and respond to system alerts, troubleshoot issues, and contribute to incident prevention and response strategies.
Build self-service tools and automation frameworks to empower R&D teams and enhance delivery velocity.
Work cross-functionally with developers, QA, and support to ensure infrastructure meets evolving product needs.
Write and maintain scripts (Python, Bash) to automate recurring tasks and streamline operations.
Continuously identify and execute improvements in system performance, availability, and cost-efficiency.

As a Fullstack Engineering Team Lead at Via, youll join an energetic and dynamic team, taking on a pivotal role in driving our innovative projects forward. You will be part of a highly talented and motivated development team responsible for Vias Driver Operations and Management system. This role involves leading a team of skilled engineers, ensuring the delivery of high-quality software solutions, and contributing to the continuous improvement of our development processes.

What Youll Do:
Lead and manage a team of Backend and Frontend engineers, overseeing the development of both end-to-end services and core infrastructure components.
Collaborate closely with cross-functional teams within Via, to ensure seamless project execution.
Develop, own, and execute the team's roadmap, ensuring alignment with the company's strategic goals.
Oversee project objectives to enhance and support the overall product strategy.
Play a central role in managing, coaching, and fostering the growth of your engineering team.
Guide and mentor team members to ensure they deliver exceptional results by promoting best practices and addressing technical challenges on projects requiring advanced technical expertise.

We are looking for a Site Reliability Engineering (SRE) & Production Team Leader to join our Engineering team. Someone who has a passion for observability, monitoring, automation, and high-availability systems, and who has a desire to solve complex technological challenges with a proactive approach to continuous improvement.
We use an interesting and mixed technology stack: Kubernetes, Terraform, CI/CD pipelines, Datadog, Prometheus, and cloud-native architectures.
In this position, you will use your expertise in building and scaling SRE operations, and will design, implement, and operate a world-class reliability strategy.
About Us
we are a key player the network security field, striving to provide the leading SASE platform in the market. Our innovative approach, merging cloud and on-device protection, redefines how businesses connect in the era of cloud and remote work.
Key Responsibilities
Design, build, and manage our SRE framework to ensure observability, resilience, and high availability.
Develop and automate solutions for proactive monitoring, incident response, and performance optimization.
Improve and maintain our alerting and monitoring stack, leveraging tools like Datadog, Prometheus, and Grafana.
Lead post-mortem analysis and implement continuous improvement initiatives.
Collaborate with DevOps, Engineering, and Product teams to ensure smooth and efficient delivery of reliable services.

Join the cutting-edge CloudGuard AI Security engineering team, where you will be part of a top talented team collaborating to shape and secure next-generation AI-enabled public cloud environments. You will create proof-of-concepts, design robust architectures, and develop products that address the evolving security challenges of AI adoption in modern enterprises.
Key Responsibilities
Pioneer AI Security Solutions: Design, build, and refine innovative security products for AI-driven cloud environments.
Design & Own UI/UX of the security solution
Architect & Own EKS-Based Backends: Lead the development of AI security microservices, ensuring high performance, scalability, and reliability.
Full Development Lifecycle: Contribute to every stage, from initial design to deployment, while maintaining best-in-class coding standards.
Continuous Learning & Adapting: Stay current on the fast-paced AI landscape, enterprise use cases, and emerging threat vectors.
Collaborate & Innovate: Work together with product architects and cross-functional teams to refine requirements and deliver groundbreaking security solutions.

we are a global leader in cybersecurity, dedicated to protecting organizations from cyber threats. Our team is at the forefront of developing innovative cloud solutions, and we are looking for a Senior DevOps Engineer to join our Cloud Network Security group.
Key Responsibilities
As a DevOps Engineer at our company, you will design, implement, and manage CI/CD pipelines, collaborate with cross-functional teams, and ensure the high availability and reliability of our cloud-based services and solutions.
Responsibilities:
Design, implement, and manage CI/CD pipelines to automate the deployment of SaaS
Collaborate with development, QA, and operations teams to ensure smooth and reliable software releases.
Monitor system performance and troubleshoot issues to ensure high availability and reliability of our services.
Implement and manage infrastructure as code (IaC) using tools like Terraform, CloudFormation and ARM.
Optimize system performance, scalability, and security.
Develop and maintain documentation for infrastructure and deployment processes.

our company's Infinity External Risk Management, otherwise known as Cyberint, continuously reduces external cyber risk by managing and mitigating an array of external cyber security threats with one unified solution.
Cyberint, a market leader in External Risk Management, helping organizations to accelerate the detection, response and remediation of their external threats, was recently acquired by our company and is looking for a Python Engineer.
We are seeking a proactive and experienced Python Engineer to join our global organization. This critical role will oversee the enforcement of feature and release cycles, drive best practices within the R&D team, manage incidents, and provide ownership for key deliverables.
The ideal candidate is passionate about building impactful product experiences end-to-end while leveraging the latest AI tools and automation frameworks.
Key Responsibilities
Your Role and Impact
As a pivotal member of our team, you will drive Cyberint toward its ambitious engineering goals, collaborating extensively across the organization with teams from Product Development to Security Research and Analysts. Your role will span the full software development lifecycle, encompassing design, architecture, and production deployment. This position demands a blend of robust development skills and technical problem-solving prowess.
Key Responsibilities
Spearhead end-to-end development of software components, from initial design through to architecture and production deployment.
Collaborate closely with cross-functional teams, including Product Managers, Security Researchers, and Analysts, to achieve seamless integration and alignment with company objectives.
Employ state-of-the-art technologies to enhance our Threat Intelligence solutions, ensuring scalability, reliability, and effectiveness.

We're looking for talented, versatile and highly independent Machine Learning Engineers to join our winning team. You will be in charge of end-to-end development and you'll have a massive impact on the product and the technical decisions made.

The ML Engineers are part of our infrastructure group, working closely with the exceptional research team, taking trained models and scaling them out to production.

Responsibilities:
Take ownership of the entire machine learning engineering lifecycle from building scalable training and evaluation pipelines to deploying models in production, with robust monitoring and maintenance systems.
Help in creating scalable solutions by enabling us to continuously increase the accuracy of our algorithms across thousands of clinics.
Designing a secured large-scale system that is suitable for sensitive patient data.
Continue to enhancing our deep learning infrastructure to supports our AI models at scale, including CI/CD, automation, testing and monitoring.
Collaborate with the research, medical and product teams in implementing ML solutions to the digital health space.

We are looking for an experienced MLE Team Lead to lead our Machine Learning Engineering team as part of the Infrastructure group. AI/ML are core components of Navina unique technology, and a significant part of our technical edge. This is a unique opportunity to take a leadership role in building the infrastructure that powers the models driving Navinas products.

Youll lead a team of ML engineers in designing scalable production systems, collaborating with cross-functional stakeholders, and mentoring team members as we scale our ML platform and capabilities.

Responsibilities:
Provide technical leadership and team management for the Machine Learning Engineering team, including mentoring team members, and encourage ongoing personal and professional growth.
Define and drive the roadmap for ML infrastructure in collaboration with other technical leaders and data science team, ensuring alignment with broader engineering and organizational goals.
Remain actively involved in the architecture and development of systems that enable scalable and reliable model training, deployment, serving, and monitoring.
Own the engineering aspects of the ML lifecycle, including the design of efficient production-grade deployment mechanisms, robust observability and maintenance practices.
Work closely with data science, product, medical, and dev teams to understand evolving needs and deliver infrastructure and tooling that improve development velocity and model reliability.
Continuously evaluate emerging tools and best practices in ML infrastructure and thoughtfully integrate relevant technologies to strengthen the teams capabilities.

We're seeking a talented, versatile, and highly independent Full Stack Engineer to join our engineering team. You will be in charge of end-to-end development and significantly impact both the product and technical decisions.

Responsibilities:
Lead development processes from ideation to production.
Develop, maintain, and imperialize the products application layer (front end & back end).
Collaborate with product, medical, and software teams across the organization.
Build a customer-centric product with a deep understanding of the complex healthcare industry.

We are looking for an experienced AI leader to lead our AI & ML engineering efforts, as part of the core infrastructure of the company. AI/ML are core components of Navina unique technology, and a significant part of our technical edge. This is a unique opportunity to take a leadership role in building the tools and infrastructure that power the models driving Navinas success.

Youll directly lead a team of ML engineers in designing scalable production systems, collaborating with cross-functional stakeholders, and mentoring team members as we scale our ML platform and capabilities. In addition - you will lead the AI-first approach of the company, evangelizing AI coding and development practices, providing thought-leadership on AI across the company inside the engineering team and across the broader company.

Responsibilities
Provide technical leadership and team management for the Machine Learning Engineering team, including mentoring team members, and encourage ongoing personal and professional growth.
Define and drive the roadmap for AI & ML infrastructure in collaboration with other technical leaders and data science team, ensuring alignment with broader engineering and organizational goals.
Remain actively involved in the architecture and development of systems that enable scalable and reliable model training, deployment, serving, and monitoring.
Be the go-to person for AI development across the company. Guide and mentor others to AI-first development tools, methodologies, and ways of thinking about problems we are solving.
Work closely with data science, product, medical, and dev teams to understand evolving needs and deliver infrastructure and tooling that improve development velocity and model reliability.
Continuously learn , try and help productize AI and ML technologies to drive the overall engineering efficiency higher.

We are looking for a Senior ML Engineer.
As a Senior ML Engineer , you will lead the design, deployment, and maintenance of production-ready machine learning systems that power legal insights at scale. Youll work across disciplinesintegrating LLMs, building pipelines, and optimizing infrastructureto deliver real-world impact.
Youll gain full ownership over the systems you build, from selecting the tools and platforms to deploying services in production. Youll work closely with DevOps and Data Engineering to ship robust solutions that drive meaningful change in the world.
Responsibilities :
Design and implement production-grade ML systems, including APIs, batch jobs, and streaming pipelines using Databricks, MLflow, AWS/GCP.
Build and manage ML infrastructure, including data pipelines, model training, deployment, and monitoring.
Develop and maintain end-to-end ML/LLM pipelinesfrom data ingestion and labeling to synthetic data generation, model registry, and rollout.
Own and improve MLOps practices: automated testing, CI/CD, monitoring, alerting, and model governance.
Write clean, maintainable Python code and uphold best practices in engineering and documentation.
Collaborate with DevOps and Data Engineering teams to scale systems and improve performance.
Research and recommend the best tools, platforms, and practices to support ML at scale.

We are looking for a talented Senior Full Stack Developer with an AI-oriented approach to help build and scale the platform powering legal data operations. This role is critical in developing end-to-end systems used by both legal experts and law firms, leveraging cutting-edge technologies to deliver high-impact solutions. If youre a proactive, technically sharp engineer with a passion for innovation, system architecture, and AI-driven development approach, wed love to hear from you!
Responsibilities :
Collaborate with product managers, designers, and other engineers to design, develop and test our innovative products.
Mentor other engineers, providing technical guidance, define and apply engineering best practices (coding standards, software development methodologies, etc.) to leverage the team technical skills.
Continuously improve the performance, reliability, and security of our applications through design reviews, code reviews, refactoring, and optimization.
Identify and resolve technical challenges and bottlenecks in a timely manner.
Stay updated with emerging technologies and industry trends, and assess their potential impact on our products and processes.
Collaborate with cross-functional teams to translate business requirements into technical solutions.

We are seeking a skilled and passionate backend engineer to join the Core Technologies Team.

As a part of our dynamic team, you will contribute to the development of the foundation of our SaaS Platform. In this role, you'll immerse yourself in a stimulating, fast-paced environment where creativity and innovation are the driving forces behind your decisions. You will have the opportunity to collaborate with our major clients, significantly influencing our business outcomes. Your primary focus will be on constructing Aqua's next-generation cutting-edge data lake, concentrating on the creation of large-scale data pipelines.

Responsibilities:

Design and develop core systems and software infrastructures, collaborating with research, product, and open-source teams.

Engage closely with engineers, researchers, product owners, and designers to identify and solve complex cybersecurity problems and spearhead the development of a new product line.

Take complete ownership of projects, from initial definition and design to development, testing, and post-deployment.

Construct multi-tenant scalable microservices deployed as part of our SaaS product.

Operate within a CI/CD environment alongside experienced and talented engineers, utilizing state-of-the-art technologies.

Plan and execute PoCs to evaluate new technologies and products.

Thrive in an environment that fosters individual growth.

We are looking for a talented software engineer to join our great team, responsible for developing the frontend of Aqua's management console.

In this role, you will play a great part in extending the UI for Aquas management console, work with product, designers and developers and bring your UI experience to Aquas team.

In this role you will have the opportunity to improve and rebuild UI components from ground up.

Were looking for a highly motivated and experienced Go/C++ Engineer to join our strategic core team. This team is responsible for building Aquas cutting-edge endpoint security solutions for Containers, K8S, and Cloud Workloads. We are building a state-of-the-art security platform for large enterprises in the exciting and innovative new field of Cloud Native applications. Our systems are deployed on thousands of customer servers around the world. A distributed system to watch over distributed systems!

Main responsibilities:
Take end to end ownership of projects from requirements to production.
Evaluate technologies, run proof of concepts and promote changes in the technological stack.
Collaborate with all other development teams in R&D.
Be an effective part in owning and supporting the teams services in multiple production environments.
Apply best practices for high quality design, code and tests.
Mentor, support, guide and assist team members in their day-to-day software development challenges.
Understanding the vision, short and long-term goals & product backlog to ensure smooth implementation.
Identify and coordinate dependencies with external teams and stakeholders.
Promote a collaborative team environment that fosters ownership, creativity, and innovation.