דרושים » תוכנה » Senior Software Engineer - Research Infrastructure Team (Cortex)

We are looking for a Senior Backend Engineer to join our Cortex XDR team and help us to prevent, detect and respond to all runs on an integrated endpoint, network and cloud data - reduce the noise and focus on real threats.
More information about the Cortex XDR product can be found here.
Your Impact
You will be a part of a group with the mentality and independence of a startup, supported by the power of a successful corporation You will design and build an infrastructure that supports billions of events per second, storing, processing and making them accessible and visible to the user while collaborating with the industry's leading cyber products
You will be responsible for the complete software development life cycle including requirement analysis, design, development, deployment, and support You will write clean, testable, readable, fast and maintainable code that is efficient and scalable.

We are looking for a Senior Principal Backend Engineer to join our Cortex XDR team and help us to prevent, detect and respond to all runs on an integrated endpoint, network and cloud data - reduce the noise and focus on real threats.
More information about the Cortex XDR product can be found here.
Your Impact
You will be a part of a group with the mentality and independence of a startup, supported by the power of a successful corporation You will design and build an infrastructure that supports billions of events per second, storing, processing and making them accessible and visible to the user while collaborating with the industry's leading cyber products
You will be responsible for the complete software development life cycle including requirement analysis, design, development, deployment, and support You will write clean, testable, readable, fast and maintainable code that is efficient and scalable.

At our company, were reinventing DevOps and MLOps to help the worlds greatest companies innovate -- and we want you along for the ride. This is a special place with a unique combination of brilliance, spirit and just all-around great people. Here, if youre willing to do more, your career can take off. And since software plays a central role in everyones lives, youll be part of an important mission. Thousands of customers, including the majority of the Fortune 100, trust our company to manage, accelerate, and secure their software delivery from code to production - a concept we call liquid software. Wouldn't it be amazing if you could join us in our journey?
About the Team
We are seeking a highly skilled Senior Data Engineer to join our company's ML Data Group and help drive the development and optimization of our cutting-edge data infrastructure. As a key member of the company's ML Platform team, you will play an instrumental role in building and evolving our feature store data pipeline, enabling machine learning teams to efficiently access and work with high-quality, real-time data at scale.
In this dynamic, fast-paced environment, you will collaborate with other data professionals to create robust, scalable data solutions. You will be responsible for architecting, designing, and implementing data pipelines that ensure reliable data ingestion, transformation, and storage, ultimately supporting the production of high-performance ML models.
We are looking for data-driven problem-solvers who thrive in ambiguous, fast-moving environments and are passionate about building data systems that empower teams to innovate and scale. We value independent thinkers with a strong sense of ownership, who can take challenges from concept to production while continuously improving our data infrastructure.
As a Data Engineer at our company's ML you will...
Design and implement large-scale batch & streaming data pipelines infrastructure
Build and optimize data workflows for maximum reliability and performance
Develop solutions for real-time data processing and analytics
Implement data consistency checks and quality assurance processes
Design and maintain state management systems for distributed data processing
Take a crucial role in building the group's engineering culture, tools, and methodologies
Define abstractions, methodologies, and coding standards for the entire Data Engineering pipeline.

Required Staff MLOps Engineer
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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.

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.

We are hiring for a Principal Backend Engineer to join our fast-paced KSPM (Kubernetes Security Posture Management) team in Cortex Cloud, located in our TLV office. Cortex Cloud is our company's next-generation cloud security solution.
In this role, you'll be key in developing and scaling the core parts of our KSPM solution. Our team's goal is to help Cortex Cloud customers understand and fix security issues in their Kubernetes workloads across all major cloud providers.
The ideal candidates are software engineers with a "can-do" attitude and a passion for solving real customer problems. You should be a person who wishes and is able to work closely with the team and our partners across Cortex Cloud to make decisions and drive features end-to-end.
For us, caring about people is not a slogan; we are looking for individual contributors who enjoy and want to work with great people and collaborate on delivering business value across PANWs vast customer portfolio.
Your Impact
End-to-end backend development of features and core components across the software development life cycle (design, develop, test, deploy, maintain)
As a principal software engineer, independently drive and collaborate with others to deliver high impact features in the KSPM domain
Work with customers and provide solutions to their day-to-day work and challenges
Contribute to team-wide efforts - code reviews, design reviews, technical and architectural decisions.

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.

we are seeking a passionate Senior Platform Engineering Developer to help build the next generation of our Internal Platform for Engineering. If youre driven by the challenge of designing and developing cutting-edge infrastructure and tools, this is the opportunity for you. As a Platform Engineer at our company, you will be responsible for designing, developing, and managing an internal multi-cloud platform tailored for engineers. You will collaborate closely with product managers, developers, DevOps, and other engineering teams to build platform features and capabilities that enhance deployment processes, observability, monitoring, security, and cost optimization, all while ensuring the scalability, availability and stability of our company's SaaS.
As a Senior Platform Engineering Developer at our company, you will...
Take part in designing, developing, and extending the capabilities of our company internal platform and SaaS, ensuring they meet the evolving needs of engineering teams and our company customers
Develop scalable cloud-native solutions that leverage AWS, Azure, GCP, and Kubernetes, empowering teams with efficient and reliable infrastructure. Collaborate with product managers to align platform development with business objectives, ensuring the platform delivers maximum value to our company's SaaS customers
Continuously improve developer productivity by creating self-service tooling, minimizing manual interventions, and integrating cloud and Kubernetes services
Work with diverse and cutting-edge technologies, including Kubernetes, k8s Operators, ArgoCD, Prometheus, OpenTelemetry, Kafka, MongoDB, Falco, etcd, Helm, Istio, Crossplane, and Kyverno, while developing expertise in these areas.

As a Senior DevOps Engineer on our Production Engineering team, you will be at the forefront of ensuring the stability, scalability, and performance of our production systems. Youll be responsible for the health of large-scale cloud environments, investigating incidents, driving root cause analysis, and implementing long-term solutions that improve system reliability. Youll also own and continuously improve the production release process, ensuring deployments are safe, automated, and well-orchestrated. Youll collaborate closely with engineering, platform, and SRE teams to ensure world-class operational excellence for our customer-facing services.
Your Impact
Own the end-to-end release process: plan, coordinate, and execute deployments across environments with a strong focus on safety, reliability, and automation
Ensure stability and performance of all production systems, maintaining high availability through proactive monitoring and incident management
Investigate and resolve complex production issues, driving post-incident reviews and implementing long-term fixes
Respond to critical incidents and customer escalations with a calm, structured approach and clear communication
Define and uphold best practices for change management, observability, and system reliability
Manage infrastructure-as-code using Terraform for scalable cloud deployments
Improve monitoring, alerting, and recovery mechanisms to detect and resolve issues faster
Automate repetitive operational tasks through scripting and tooling
Collaborate with development teams to ensure smooth delivery and stable operation of new features
Participate in an on-call rotation to support production systems.

We are looking for an experienced software engineer who can drive the development of our infrastructure platform. You'll be working on cloud-based solutions, developing automation tools, and building systems that enhance our development and deployment capabilities. This role offers the opportunity to work with cutting-edge technologies while solving complex infrastructure challenges.
The Infrastructure team is responsible for building and maintaining core automation systems, cloud infrastructure, and developer tools that power our products. We work extensively with Python, Azure cloud services, and modern DevOps practices to create scalable and reliable solutions.