דרושים » ניהול ביניים » Senior Software Engineer - Core Innovation & Future Technologies

We are looking for a Senior Software Engineer to join the ride as we spearhead the next revolution in electronics!
Responsibilities
Develop and maintain robust, scalable, and secure Java-based software solutions
Collaborate with product managers, architects, and other engineers to design and implement new features
Build and optimize data processing pipelines for high-volume analytics applications
Ensure software quality through code reviews, unit testing, and integration testing
Participate in architectural decisions, contributing to the design of cloud-based systems
Monitor and optimize system performance to meet scalability and reliability goals
Troubleshoot, debug and resolve issues in development, staging, and production environments.

we are looking for a Senior Node.js Developer with strong backend orientation and deep JavaScript/browser expertise.
You should have a passion for scalable, infrastructure, and performance, along with a deep understanding of backend technologies and how they interact with the web.
Youll be involved in the full cycle of software development from ideation and design to implementation and deploymentwhile considering performance, observability, and reliability across the stack.

Role

- Design and implement scalable backend services using Node.js, ensuring performance, reliability, and maintainability.
- Collaborate with development teams and product managers to brainstorm and develop software solutions.
- Leverage your expert-level knowledge of JavaScript and browser internals to support performance optimization and debugging across the stack.
- Lead and contribute to projects involving Kubernetes (K8s), Pods, and containerized deployments.
- Work with Redis, OpenSearch, and AWS services (including S3 and CDN) to support data flow, storage, and delivery at scale.
- Create comprehensive technical documentation, including system specifications and troubleshooting guides.
- Monitor and optimize system performance using tools like Grafana, and contribute to observability and alerting strategies.
- Participate in code reviews, architecture discussions, and continuous improvement of development practices.

Are you a super-talent Senior Software Engineer with a passion for cybersecurity? Our Core team is looking for a highly responsible and professional individual to join us in building the next generation of cybersecurity solutions. We're seeking someone who thrives on technical challenges, can dive deep into complex systems, and is eager to contribute to a product that makes a real impact. If you're a top-notch engineer who consistently delivers high-quality work and is always looking to push the boundaries of what's possible, we want to talk to you. What You'll Do As a Senior Software Engineer , you'll be instrumental in designing, developing, and deploying critical components of our cybersecurity platform. Your responsibilities will include:
* Leading the design and implementation of complex software features from concept to production.
* Collaborating with product managers, researchers, and other engineers to define technical requirements and architectural solutions.
* Driving best practices in software development, including code quality, testing, and maintainability.
* Mentoring junior engineers and contributing to a culture of continuous learning and innovation.
* Tackling challenging technical problems in areas like low-level systems, big data processing, and vulnerability research.

Were looking for a Senior Software Engineer with a passion for solving tough technical challenges, working across the stack, and building systems that matter. This is your opportunity to work on an advanced, real-world product involving computer vision, edge computing, and scalable cloud architecture.
🚀 What Youll Do:
Design and implement robust, scalable components across the software stack.
Take end-to-end ownership of complex featuresfrom concept to deployment.
Collaborate with product managers, system engineers, and AI researchers to build integrated solutions.
Contribute to a high-performance platform that combines real-time sensor data, video analytics, and cloud services.
Build and maintain CI/CD pipelines and automated test frameworks.
Lead with qualitywriting clean, testable code and applying TDD principles.
Mentor teammates, share knowledge, and help set best practices across the team.

We are looking for a talented highly-motivated experienced SW engineer to join one of its growing inspiring development teams.
You will work on multi-tenant, high-scale, distributed SaaS echo system on top of k8s platform which is used for managing the cloud security services infrastructure, customers' self-service configuration, monitoring and reporting, analytics and more.

As a SW engineer, you will manage and work with the different Engineering teams and architects in order to design, develop, monitor, scale and optimize the large-scale architecture of a winning SaaS security service.

What will you do?

Implement our implementation of next generation back-end infrastructure to help us scale our SaaS based infrastructure.

Be part of a team building tools to make our infrastructure scalable, and robust.

Leverage Generative AI tools for code generation, optimization, debugging, documentation, and prototyping.

Continuously research and integrate new AI-driven developer productivity tools.

Design and develop an always-available Cloud-based SaaS platform in AWS

Lead and Design the development of robust CI/CD pipelines for Kubernetes running Containerized applications

Design and build strong Application and System monitoring and automated self-healing procedures.

Maintain and support application deployments, building new systems and upgrading existing.

Working closely with all the Engineering and DevOps teams, taking full responsibility and ownership from conception to post-deployment in a collaborative, fast-paced environment.

We are looking for a highly skilled senior software engineer with expertise in low-level development, OS internals and security. This role focuses on designing and developing cutting-edge EDR and XDR solutions, driving innovation, and scaling our security infrastructure.

What will you do?
The role includes end-to-end responsibility for new collection capabilities in a cross-platform manner. Starting from detecting various system events at the most low-level kernel level to creating a user-facing, huntable experience. You will research and design optimization strategies and algorithms and deliver them at scale. Your deliveries will enhance the security of different Linux and cloud workloads platforms protected by our product and Windows endpoints, which serve millions of users (from enterprise & public sector clients across the globe, incl. some of the largest companies globally). You will focus on the following:
Software development and testing to cover new code.
Conduct low-level research and design new features & infrastructures.
Learn new technologies in the Windows, Linux, and Cloud workloads security domains.
Architect end-to-end security solutions for complex features with a loose problem definition.
Support customers with issues and requests within the teams domain.

Required Senior Software Engineer Core Services team
Why Youll Love This Job
Join a small, focused team at a pivotal momentwere building a groundbreaking system that will redefine how we scale and orchestrate our massive workloads. Youll play a key role in shaping the product and technical vision from day one, with full ownership and the freedom to make bold architectural choices. This is your opportunity to leave a deep technical footprint on a next-generation platform used at global scale.
What Youll Do
Provide hands-on technical leadership across the full software development lifecycle.
Design and build a system to orchestrate structured actions across cloud-managed resources.
Develop internal tools and services that enable teams to control and interact with our clusters.
Collaborate with product and ops teams to ensure robust, scalable, and secure systems.
Drive engineering best practices, code quality, and technical excellence across the team.

Required Senior Algo Data Engineer
Realize your potential by joining the leading performance-driven advertising company!
As a Senior Algo Data Engineer on the Infra group, youll play a vital role in develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools.
About Algo platform:
The objective of the algo platform group is to own the existing algo platform (including health, stability, productivity and enablement), to facilitate and be involved in new platform experimentation within the algo craft and lead the platformization of the parts which should graduate into production scale. This includes support of ongoing ML projects while ensuring smooth operations and infrastructure reliability, owning a full set of capabilities, design and planning, implementation and production care.
The group has deep ties with both the algo craft as well as the infra group. The group reports to the infra department and has a dotted line reporting to the algo craft leadership.
The group serves as the professional authority when it comes to ML engineering and ML ops, serves as a focal point in a multidisciplinary team of algorithm researchers, product managers, and engineers and works with the most senior talent within the algo craft in order to achieve ML excellence.
How youll make an impact:
As a Senior Algo Data Engineer, youll bring value by:
Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production and test environments
Influence directly on the way billions of people discover the internet
Our tech stack:
Java, Python, TensorFlow, Spark, Kafka, Cassandra, HDFS, vespa.ai, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes, Docker, git and Jenkins.

Required Staff MLOps Engineer
Apply
Realize your potential by joining the leading performance-driven advertising company!
As a Staff MLOps Engineer on the Infra group, youll play a vital role in develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools.
About Algo platform:
The objective of the algo platform group is to own the existing algo platform (including health, stability, productivity and enablement), to facilitate and be involved in new platform experimentation within the algo craft and lead the platformization of the parts which should graduate into production scale. This includes support of ongoing ML projects while ensuring smooth operations and infrastructure reliability, owning a full set of capabilities, design and planning, implementation and production care.
The group has deep ties with both the algo craft as well as the infra group. The group reports to the infra department and has a dotted line reporting to the algo craft leadership.
The group serves as the professional authority when it comes to ML engineering and ML ops, serves as a focal point in a multidisciplinary team of algorithm researchers, product managers, and engineers and works with the most senior talent within the algo craft in order to achieve ML excellence.
How youll make an impact:
As a Staff MLOps Engineer Engineer, youll bring value by:
Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production and test environments
Influence directly on the way billions of people discover the internet
Our tech stack:
Java, Python, TensorFlow, Spark, Kafka, Cassandra, HDFS, vespa.ai, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes, Docker, git and Jenkins.