דרושים Staff Data Scientist Full Stack ב-Palo Alto ב-ארהב

Being the cybersecurity partner of choice, protecting our digital way of life.

Your Impact

• End-to-end backend development of features and core components across their entire life cycle (design, develop, test, deploy, maintain)
• Collaborate with peers across different teams and disciplines to shape solutions and integrate with other parts of the product
• 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

Your Experience

• Education: A Bachelor's or Master's (M.S./B.S.) degree in Computer Science or an equivalent technical field.

• Experience: 2+ years of professional Software Engineering experience, ideally focusing on the development of scalable server-side applications .

• Programming: Strong programming proficiency in one or more of the following: Python , Node.js , or TypeScript .

• Database Knowledge: Solid understanding of and experience with relational databases (SQL) , MongoDB , and BigQuery .

• Collaboration: A demonstrated ability to be a team player with strong communication skills for effective collaboration across cross-functional groups .

Core Technical Experience

• Proven experience building and maintaining high-scale server-side applications .

• Experience utilizing Cloud Platforms such as Google Cloud Platform (GCP) , Amazon Web Services (AWS) , or Microsoft Azure .

• Familiarity with CI/CD pipelines and managing cloud infrastructure .

• Experience with REST APIs (design, development, and consumption).

• Knowledge of AI/ML pipelines , Data Science principles , and related technologies like Model Context Protocol

Preferred

• Prior experience with containerization technologies, specifically Kubernetes and/or Docker .

Compensation Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $106000 - $170500/Yearly. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .

All your information will be kept confidential according to EEO guidelines.

Being the cybersecurity partner of choice, protecting our digital way of life.

Your Career

We are seeking development-heavy Site Reliability Engineers (SREs) who are passionate about bringing new ideas to all facets of DevOps and operational excellence within our Internet security infrastructure product portfolio. This key role requires strong technical expertise to design, build, maintain, and scale production services and server farms, with an emphasis on applying development skills to automate and optimize complex infrastructures for large-scale global product deployments across multiple cloud platforms. As an SRE, you will take end-to-end ownership of your focus areas, driven to solve problems at every level of the stack, and participate in all phases of the product lifecycle—from initial design and development through testing and deployment—while collaborating seamlessly with multi-functional teams, including developers, product managers, and QA, to achieve a common operational goal.

Your Impact

• Build Terraform to deploy infrastructures and services to multiple cloud platforms.

• Build automation for provisioning and operating infrastructure at a massive scale using Python or Go code

• Work with Dev/QA teams to build pipelines and automation for delivering and deploying applications to production

• Build observation (logging, metrics, alerting) systems to make sure system works well.

• Design and implement the infrastructure to ensure applications align with infrastructure requirements, focusing on scalability and reliability

• Collaborate with PMs to deliver compliances (SOC2, Fedramp, IL5) and establish a vision for continuous improvement.

• On-call Support and Incident Resolution

  • Participate in occasional on-call rotations to support the infrastructure

  • Investigate incidents, formulate hypotheses, and identify root causes to solve issues promptly

  • Write postmortem reviews and provide remediation recommendations

Your Experience

• Bachelor's or higher degree in Computer Science, Engineering, or related field or equivalent military experience required

• 3+ years of experience in DevOps, SRE, or related roles.

• Cloud Experiences: GCP/AWS/OCI/Azure.

• Container Docker, Kubernetes operational experiences.

• Knowledge of TCP/IP, DNS, HTTP, GRPC

• Proven experience in designing, implementing, and maintaining scalable and reliable infrastructure

• Strong proficiency in automation scripting and infrastructure as code (IaC)

• Excellent problem-solving skills and the ability to troubleshoot complex issues

• Effective communication skills, both written and verbal

• Experience working in collaborative, cross-functional environments

• Python/Go programming

• Additional Requirements

• Availability for occasional on-call support

• Willingness to engage with customers directly and represent the technical aspects of the product

Compensation Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $0 - $0/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .

All your information will be kept confidential according to EEO guidelines.

Being the cybersecurity partner of choice, protecting our digital way of life.

Your Impact

This Engineering Escalation role is positioned to intercept and assist or drive technical escalations that come to the executive level in engineering

You will speak with executive levels at customers, delivering among other things, discussions about the situation, explaining the root cause or progress toward it, providing status internally, and addressing technical questions during customer interactions

Your Experience

• BE/B.tech or equivalent technical graduation is mandatory or equivalent military experience required
• Career level experience in support service, technical support or similar troubleshooting related role
• Technical lead in area of expertise related to cyberspace equipment vendor or network security organization
• Able to explain complex technical issues to non-technical people
• Able to have open discussions on network design, network security and related technical topic

Required Technical Skills

• Configuring and troubleshooting dynamic routing protocols (BGP and OSPF primarily)
• L1-L3 (ISO model) troubleshooting
• Broad understanding of and ability to analyze and troubleshoot Internet applications and protocols
• Troubleshooting VPNs (IPSec and SSL tunnels)
• Pcap analysis (via Wireshark and other tools)
• Hardware troubleshooting for telecommunications equipment
• C, C++ and python programming languages(Good to have)

Helpful Certifications

• Advanced certification for network equipment vendors (e.g. JNCIE, JNCP, CCIE, CCNA, CCNP, CCA etc)
• Cloud deployment for AWS, GCP, Azure or KVM based solutions)

We define the industry, instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of a challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment.

Compensation Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $128,000 - $174,000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .

All your information will be kept confidential according to EEO guidelines.

Being the cybersecurity partner of choice, protecting our digital way of life.

Your Impact

• Build and operate Cloud Native infrastructure
• Design and develop innovative products end to end taking ownership of DevSecOps
• Collaborate across functions (Product Managers and Engineers) to understand requirements and develop solutions
• Act as a technical leader and mentor junior team members
• Continuously improve the software development process, including testing, deployment, and monitoring

Your Experience

• Significant experience (4+ years) building and maintaining software systems on Cloud and Kubernetes based infrastructure.
• Significant experience working with containers and Kubernetes, CI/CD pipelines and DevSecOps best practices.
• Significant expertise in IaC tools (Terraform, CDK/CloudFormation).
• Expertise in modern Python (type hints, Pydantic, ..) and at least one strongly typed programming language (Go, Java, Python, C++).
• Experience building Kubernetes Operators to automate operational tasks would be a plus.
• Strong communication and problem solving skills.
• ML/MLOps experience would be a plus.
• Excited about working in an agile and fast paced environment.

Compensation Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $147000 - $180,000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .

All your information will be kept confidential according to EEO guidelines.

Key Responsibilities

As a Distinguished Engineer, you will own the long-term technical direction and execution for all data and analytics infrastructure within Saas Data Security and AI.

I. Architecture & Strategic Vision

• Define Architectural Roadmap : Set the 3-5 year technical strategy and architectural vision for the Enterprise DLP data platform, emphasizing scalability, performance, security, and cost-efficiency
• Big Data & AI Foundation : Drive the design, implementation, scaling, and evangelism of the core BigQuery, Vertex AI, Nvidia Triton, Kubeflow platform components that enable high-velocity data ingestion, transformation, and Machine Learning model serving for DLP detections
• Real-time Decisioning: Architect and implement ultra-low latency data ingestion and processing systems (utilizing Kafka, Pub/Sub, Dataflow) to enable real-time DLP policy enforcement and alert generation at massive enterprise scale
• Cross-Functional Influence : Act as the technical voice of the DLP data platform, collaborating with Engineering VPs, Product Management, and Data Science teams to align platform capabilities with product innovation

II. High-Scale Data Platform Engineering

• Big Data Pipeline Mastery : Architect and Lead the design and implementation of highly resilient, optimized batch and real-time data pipelines (ETL/ELT) to transform raw data streams into high-quality, actionable datasets
• Optimized Dataset s: Expertly design and optimize clean, well-structured analytical datasets within BigQuery, focusing on partitioning, clustering, and schema evolution to maximize query performance for both operational analytics and complex data science/ML feature generation
• Database Strategy: Provide deep, hands-on expertise in both SQL and NoSQL databases like MongoDB, Spanner, BigQuery, advising on the optimal data persistence layer for diverse DLP data use cases (e.g., policy configurations, high-speed telemetry, analytical fact tables)
• MLOps Implementation : Establish robust MLOps practices model deployment & execution pipelines like Vertex AI, Nvidia Triton for DLP models, including automated pipelines for continuous training, versioning, deployment, and monitoring of model drift
• Performance Engineering : Debug, optimize, and tune the most challenging performance bottlenecks across the entire data platform, from initial data ingestion to final analytics query execution, often dealing with PBs of data

III. Mentorship & Operational Excellence

• Technical Mentorship : Mentor and develop Principal and Staff-level engineers, raising the bar for engineering craftsmanship and data platform development across the organization
• Operational Health : Define and implement advanced observability, monitoring, and alerting strategies to ensure the end-to-end health and SLOs of the mission-critical DLP data service

Preferred Qualifications

• 12+ years of experience in a high-scale data-intensive environment, with a minimum of 3+ years operating as a Distinguished or Principal-level Engineer/Architect
• Mastery of Google Cloud Platform (GCP) with extensive, hands-on experience architecting and scaling solutions using BigQuery and Vertex AI or equivalent AWS, Azure, or other Big Data & AI services
• Expertise in Big Data processing frameworks and managed services, specifically with building and scaling data and analytics pipelines using Dataflow, Pub/Sub, and GKE (or equivalent technologies like Apache Spark/Kafka)
• Strong experience in SQL & NoSQL databases (e.g., MongoDB, Cassandra, Spanner), with an understanding of their respective architectural trade-offs for distributed systems
• Demonstrated ability to design scalable data models and systems that enable high-precision
• Proven ability to build and optimize clean, well-structured analytical datasets for large-scale business and data science use cases
• Demonstrated experience in implementing and supporting Big Data solutions for both batch (scheduled) and real-time (streaming) analytics
• Prior experience in the security domain (especially DLP, Data Security, or Cloud Security) is a significant advantage
• Exceptional ability to influence technical and business leaders, translating ambiguous problems into clear, executable technical designs
• BS/MS in Computer Science or Electrical Engineering or equivalent experience or equivalent military experience required

Salary Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $230,000/YR - $300,000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .

All your information will be kept confidential according to EEO guidelines.

Being the cybersecurity partner of choice, protecting our digital way of life.

Your Impact

• Collaborate with product managers, cybersecurity researchers, AI application researchers and infrastructure software engineers
• Design and build an innovative and solid products to ensure our customers can use AI service securely
• Participate in all phases of the product development cycle, from definition, design, through implementation and test
• Implement real-time security services to customers
• Work with PLM on new feature requirement
• Work with QA and DevOps on new release deployment

Your Experience

• Solid golang/python programming skills
• Solid knowledge on HTTP 1.1/HTTP2 protocols and gRPC
• Profound knowledge on web service proxy technology especially on envoy and web assembly
• Experience in designing large distributed system and web services in the cloud
• Deep knowledge in GCP platform is a plus
• Familiar with major CSP LLM foundation models is a plus
• The candidate should be a good problem solver
• Master's degree in computer science or equivalent or equivalent military experience required

We define the industry, instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of a challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment.

Compensation Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $0 - $0/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .

All your information will be kept confidential according to EEO guidelines.

Being the cybersecurity partner of choice, protecting our digital way of life.

Your Impact

• Define and drive the product vision, strategy and roadmap for our Data Security product line

• Conduct market research, competitive analysis and customer feedback to inform product decisions

• Collaborate with design and engineering teams to develop product prototypes and interfaces

• Work closely with data scientists and ML engineers to develop and integrate ML algorithms into the Data Security product lines

• Create and maintain product documentation, including user guides, training materials and release notes

• Monitor product performance and customer feedback to inform product improvements and updates

• Work across functional agile teams (Engineering, UX, customer support, operations, finance, sales and marketing)

• Identify technology partners and drive integration into market leading product

• Drive joint sales (SKUs, solution bundles, incentives) and marketing (collaterals, webinars, trade shows) models with cross-functional teams within and partners

Your Experience

• BS/MS in Computer Science, Engineering or a related field

• MBA is desirable

• 3 years in product management

• Strong understanding of network security principles and solutions

• Client-facing experience through previous product work or customer success roles

• Strong technical background with experience working with data scientists and ML engineers

• Strong understanding of user experience design principles and methodologies

• Excellent communications and collaboration skills, with experience working with cross-functional teams

• Strong analytical and problem-solving skills, with experience using data to inform product decisions

• Experience working in an Agile development environment

• Experience launching cloud products and services

• Demonstrable track record of success

Compensation Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $148,700 - $240,525/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .

All your information will be kept confidential according to EEO guidelines.