דרושים » תוכנה » Senior Software Engineer, Cloud

Were seeking a strategic and hands-on Head of Engineering to lead and scale our technical organization.
In this role, you will turn our product vision into a strong, scalable engineering foundation, build efficient processes, and drive technical excellence. You should be passionate about technology, user value, and high-quality execution. Success means challenging assumptions, diving into details, and shaping both the product and the team that builds it.
Responsibilities:
Lead and scale of 20-30 engineering organizations (Frontend + Backend) through two Group Leads.
Own the technical strategy and roadmap, ensuring strong alignment with product goals and long-term company vision.
Design and oversee scalable, reliable system architecture across image processing, AI model serving, and data pipelines.
Remove bottlenecks to improve development velocity and overall engineering efficiency.
Drive hiring, mentoring, career development, and a culture of ownership and excellence.
Roll up your sleeves when needed and set the standard for hands-on technical leadership.
Enforce engineering best practices across code quality, CI/CD, testing, deployment, and observability.
Partner closely with Product, AI/ML, and Design teams to translate business needs into technical solutions.
Make key technology decisions and evaluate new tools, frameworks, and services.
Define and track engineering KPIs to ensure system performance, uptime, and team productivity.

We are seeking a Senior Production Engineer with extensive experience to lead the design, development, deployment, and operation of large-scale software solutions. This role is a critical bridge between Software Engineering and Infrastructure, demanding a deep proficiency in building and operating reliable, scalable systems within a complex Big Data environment.
What You'll Be Doing All Day:
Own Reliability and Scalability: Lead the architecture and implementation of best practices to ensure high availability, optimal performance, and horizontal scalability of our critical systems, operating within a vast Big Data landscape.
Infrastructure as Code (IaC): Develop, maintain, and evolve our infrastructure using advanced IaC tools (e.g., Terraform or Pulumi), ensuring full automation of service deployment and management across our AWS/GCP cloud environment.
Strategic Collaboration: Partner closely with application software engineering teams to design, conduct code reviews, and implement systems that are stable, secure, and performant.
Observability: Implement and manage robust monitoring, logging, and alerting solutions to enable proactive identification and deep Root Cause Analysis (RCA) of issues.
Automation & Efficiency: Identify and eliminate manual tasks ("Toil") by automating repetitive processes to continuously improve operational efficiency and system reliability.
Production Incident Response: Participate in an on-call rotation to quickly investigate, troubleshoot, and mitigate critical production incidents, driving post-mortems to prevent recurrence.
Performance Engineering: Analyze system performance, conduct performance tuning, and execute capacity planning to meet future demands.

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 looking for a highly talented technical individual to join the Cortex XDR infrastructure team.
The team is responsible for developing automation infrastructure and various cloud based tools and platforms that are used across the research, development and QA departments to ensure the functionality, stability and quality of the XDR product, alongside the efficiency of the infrastructure and process used to build, test and deploy on various clouds and distributions. We believe that the platforms & infrastructure that the team provides are a critical & crucial part of our department's progress to the modern future and one of our key growth factors.
As a Platform engineer you will play a pivotal role in enhancing our development and automation experience by pushing forward modern automation approaches, eliminating manual efforts and introducing new development operations for continuous integration, scale & durability using advanced cloud services. Your expertise will be used in areas such as infrastructure development, cloud based automation, serverless infrastructure, automation as a service, providing technical guidance, and pushing infrastructure\configuration as a code and GitOps approach across the development departments.
To succeed in this role, you should have a strong foundation in modern cloud based automation methodologies and a comprehensive understanding of industry best practices, especially in redundancy and scalability of large systems and the ability to control them via SCM based declarative configs. You should be familiar with modern public clouds approaches and serverless based architectures, including virtualization containers and container based orchestration including multiple Kubernetes based deployments. You should be comfortable engaging in complex technical discussions and advocating for optimal solutions in a fast-paced growing environment as part of our quest for continuous improvement.
Your Impact
Utilize modern technologies including serverless cloud services, Kubernetes, Terraform, among others, and use them all in an infrastructure/configuration as a code GItOps approach to manage everything via source code and continuous integration processes
Design and implement (hands on) the next generation of platforms, automation frameworks, SDKs, and tools to be used across our entire R&D group, and be part of our infrastructure transition to the cloud
Develop and maintain a cloud based test execution system, that supports parallel executions on multiple operating systems and multiple cloud providers and at a very large scale, and by so helping reduce the amount of effort required to perform automatic testing and manual testing, and reduce time to market
Provide tools, systems and simulators for scaling up all lifecycle phases of our products and services including cross company and third party integrations and frameworks to be used in high scale
Introduce progress and help revolutionize our operations and lay the foundation for innovation and growth.

Required Senior Software Engineer
Tel Aviv
About the role:
As a Senior Software Engineer on the Data Platform, youll be part of one of our most strategic engineering groups, tasked with building the core data ingestion and processing infrastructure that powers our entire platform. The team is responsible for handling billions of cloud signals daily, ensuring scalability, reliability, and efficiency across our architecture.
Youll work on large-scale distributed systems, own critical components of the cloud security data pipeline, and drive architectural decisions that influence how data is ingested, normalized, and made available for product teams across. Were currently in the midst of a major architectural transformation, evolving our ingestion and processing layers to support real-time pipelines, improved observability, and greater horizontal scalability, and were looking for experienced engineers who are eager to make foundational impact!
Our Stack: Python, Go, Rust, SingleStore, Postgres, ElasticSearch, Redis, Kafka, AWS
On a typical day youll:
Write clean, concise code that is stable, extensible, and unit-tested appropriately
Write production-ready code that meets design specifications, anticipates edge cases, and accounts for scalability
Diagnose complex issues, evaluate, recommend and execute the best solution
Implement new requirements within our Agile delivery methodology while following our established architectural principles
Lead initiatives end to end from design and planning to implementation and deployment, while aligning cross-functional teams and ensuring technical excellence
Test software to ensure proper and efficient execution and adherence to business and technical requirements
Provides input into the architecture and design of the product; collaborating with the team in solving problems the right way
Develop expertise of AWS, Azure, and GCP products and technologies.

Required Senior Software Engineer
Realize your potential by joining the leading performance-driven advertising company!
As a Senior Software Engineer in the Advertiser Solutions Core group in our Tel Aviv Office, youll be a technical leader and key contributor to our product and engineering roadmaps. You will influence critical decisions that affect millions of users daily, setting the technical direction for one of the largest real-time big data operations in the world, supporting over 140TB of new data every day.
How youll make an impact:
Acting as a key technical leader for the group, guiding the architecture and design of complex, business-critical systems that empower our advertisers to manage their budgets and optimize performance.
Driving development by being hands-on, personally writing code for the most complex and critical system components and setting a high bar for code quality and best practices.
Driving the technical strategy for building highly scalable and reliable solutions to process and analyze vast amounts of data, enabling actionable insights for advertisers.
Leading and mentoring engineers working on a large-scale, high-throughput recommendations system, influencing the way billions of people discover the internet.
Making high-stakes architectural decisions for one of the largest real-time big data operations in the world, responsible for over 140TB of new data every day.
Fostering a culture of technical excellence and end-to-end ownership; setting standards for how we design, build, ship, measure, and maintain our products at scale.
Serving as a key technical partner to product managers and other engineering leaders, translating complex business goals into a tangible, multi-quarter technical roadmap.
Our Tech Stack:
Java, Spark, Kafka, HDFS, K8S, Helm, Docker, Vertica, MySQL, BigQuery, Airflow, Prometheus, Grafana, Cassandra, Memcached, Druid.

As a Senior Data Engineer, youll collaborate with top-notch engineers and data scientists to elevate our platform to the next level and deliver exceptional user experiences. Your primary focus will be on the data engineering aspectsensuring the seamless flow of high-quality, relevant data to train and optimize content models, including GenAI foundation models, supervised fine-tuning, and more.
Youll work closely with teams across the company to ensure the availability of high-quality data from ML platforms, powering decisions across all departments. With access to petabytes of data through MySQL, Snowflake, Cassandra, S3, and other platforms, your challenge will be to ensure that this data is applied even more effectively to support business decisions, train and monitor ML models and improve our products.
Key Job Responsibilities and Duties:
Rapidly developing next-generation scalable, flexible, and high-performance data pipelines.
Dealing with massive textual sources to train GenAI foundation models.
Solving issues with data and data pipelines, prioritizing based on customer impact.
End-to-end ownership of data quality in our core datasets and data pipelines.
Experimenting with new tools and technologies to meet business requirements regarding performance, scaling, and data quality.
Providing tools that improve Data Quality company-wide, specifically for ML scientists.
Providing self-organizing tools that help the analytics community discover data, assess quality, explore usage, and find peers with relevant expertise.
Acting as an intermediary for problems, with both technical and non-technical audiences.
Promote and drive impactful and innovative engineering solutions
Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences, and active community participation
Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions. Provide technical guidance and mentorship to junior team members.

our company has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Its a unique legacy of innovation thats fueled by great technologyand amazing people. We seek an Senior SW Performance Engineer to join our performance verification team. As a Performance Engineer at our company, you will have to work closely with our companys development and architecture teams responsible for Ethernet AI solution and gain a deep understanding of our company products and technologies.
What youll be doing:
Participate in an international team of software engineers working on products for testing our company products
Build automated verification environment for high-end hardware and software which is at the forefront of innovation
Identify, analyze, and report software defects, inconsistencies, and other quality issues.
Drive improvements for performance, quality, stability around SW acceleration solutions.
Stay up to date with industry standard methodologies, new technologies, and emerging trends in software verification.

We are looking for a Senior Engineering Manager to lead Data Security teams, one of the most technically complex and cross-functional areas within Cortex Cloud. This role combines hands-on technical depth (systems programming, distributed cloud architectures) with managerial excellence, guiding teams that build scalable data-security services running at massive cloud scale.
You will drive the design and development of systems that classify, protect, and make sense of customer data across multi-cloud environments. You will lead teams and managers, partner closely with product, collaborate across Cortex and PANW business units, and be accountable for delivering roadmap commitments with speed and precision.
Your Impact
Lead, mentor, and grow multiple engineering teams and managers within the DSPM domain.
Own the full SDLC - from translating product strategy into actionable roadmaps to ensuring flawless execution and on-time delivery.
Engage directly with strategic customers to lead technical deep-dives, architecture reviews, and roadmap discussions.
Set high engineering standards for quality and security while building a culture of accountability and continuous improvement.
Build a culture of accountability, ownership, and continuous improvement.
Oversee the architecture of scalable, distributed systems (primarily Python & Go) capable of processing data at petabyte scale.
Guide teams on building high-throughput pipelines and cloud-native microservices.
Ensure efficient deployment, observability, and runtime stability in production environments.
Partner closely with Product Managers and cross-functional groups (Infra, Research, UX) to define priorities and build multi-quarter roadmaps.
Align stakeholders across business units and communicate tradeoffs, risks, and execution plans with clarity.

Required Senior Software Engineer KSPM Team
About the role
As a Senior Software Engineer on the KSPM (Kubernetes Security Posture Management) team, youll be part of a mission-critical group responsible for building and scaling one of the companys fastest-growing products. Our team helps customers secure their Kubernetes environments across major cloud providers by offering deep visibility into misconfigurations, compliance risks, and security best practices.
Youll contribute to a high-impact codebase that scans, analyzes, and interprets complex Kubernetes configurations and behaviors at scale. This is a unique opportunity to shape the future of our KSPM product owning core backend components, driving architectural improvements, and delivering features that address real-world customer needs.
Were looking for engineers who are passionate about infrastructure, cloud security, and solving challenging problems at scale, and who want to make a meaningful impact on the security of modern, cloud-native systems.
Our Stack: Python, Go, K8s APIs, SingleStore, Postgres, Redis, Kafka, AWS, GCP, Azure, ElasticSearch
On a typical day youll
Design, implement, and maintain scalable backend services for onboarding, scanning, and analyzing Kubernetes environments
Collaborate with security researchers and product managers to translate complex requirements into impactful product features
Write clean, efficient, and testable code, ensuring high performance and reliability
Participate in design and code reviews to uphold technical excellence and team standards
Lead features end-to-end from design and planning to deployment and monitoring
Improve system observability, performance, and resilience in production environments
Work closely with cross-functional teams to continuously enhance product capabilities and customer value
Stay current with developments in the Kubernetes ecosystem and cloud security landscape.