דרושים » תוכנה » Senior DevOps Engineer - (Cortex Cloud)

We are looking for a Staff Devops Engineer.
As a Devops Staff Engineer, you will not be assigned a specific R&D group, but will serve as a focal point for the DevOps engineers, to help and support with any issue.
Youll be leading projects that cross DevOps, push forward technical discussions and interact with each DevOps engineer as needed to solve diverse complex problems of high scale.
Youll support multi-region environments, build and maintain tools for automation, deployment, monitoring, and operations.
Youll troubleshoot and resolve issues in our various environments.
Youll play a key role in designing and enforcing infrastructure patterns that support zero-downtime deployments, high resilience, and compliance standards.
Youll collaborate with teams across the company to define and drive forward scalable, production-grade architecture.
Youll conduct periodic on-call duties and emergency response.

We are looking for a motivated Principal Software Engineer to join our Cortex Platform group in our Tel Aviv R&D center. The team is responsible for the orchestration platform that manages the entire lifecycle of the production environment hosting all Cortex products, as well as the enablement of the entire RnD group using self service APIs and internal tooling.
More information about Cortex can be found here.
Your Impact
Develop the orchestration platform that manages the entire lifecycle of the production environment hosting all Cortex products deployed on GCP
Develop Kubernetes operators and cloud-native applications to streamline our infrastructure management and deployment processes.
Collaborate with engineering teams to design and enhance software architecture to improve scalability, service reliability, cost and performance.
Stay abreast of cutting-edge technologies and deploy them to production environments when appropriate.
Contribute to team-wide efforts including code reviews, design reviews, and technical/architectural decisions.
Participate in the on-call rotation to provide support for applications and infrastructure.

We are looking for a Senior DevOps Engineer to join our R&D team in developing the next rising product in the health tech landscape. If you are looking for a challenging, influential position and are passionate about making an impact, this might be the role for you.
As a Senior DevOps Engineer , youll play a key role in the design, development, testing, deployment, and monitoring of our infrastructure and products. In this position, you'll make significant contributions to our observability stack, helping build and maintain robust systems for logs, metrics, traces, and alerting.
Responsibilities:
Support and collaborate with cross-functional engineering teams using cutting-edge technologies.
Contribute to the design, implementation, and maintenance of monitoring, logging, and alerting systems (e.g., Prometheus, Grafana, Loki)
Secure, scale, and manage our cloud environments (AWS and GCP)
Design and implement automation solutions for both development and production .
Manage and improve our CI/CD pipelines for fast and safe delivery
Lead best practices in infrastructure, observability, configuration management, and system hardening
Continuously assess and improve existing infrastructure in line with industry standards.

Required Senior SRE
Were on a mission to help companies unlock reality and reach their full potential. As a Senior Site Reliability Engineer, youll play a key role in shaping our new Production Reliability domain. Youll drive reliability initiatives, lead cross-team projects, and make sure our SaaS platform stays robust, scalable, and efficient. This is a high-impact, hands-on role that demands technical expertise and a proactive approach.
As a Senior SRE, you will:
Design, build, and maintain scalable, fault-tolerant systems.
Define and enforce SLOs, SLIs, and SLAs and drive improvements based on real data.
Build automation and tooling to enhance observability, testing, and deployments.
Lead complex incident responses, including on-call rotations and postmortems.
Collaborate closely with engineering, product, and support teams to embed reliability into everything we do.
Mentor engineers and promote operational excellence across the organization.

we're looking for a visionary Security Architect to play a pivotal role in designing and implementing robust security solutions across our infrastructure and applications.
If you have a passion for building secure-by-design systems, a deep understanding of both infrastructure and application security principles, and the ability to translate complex requirements into actionable blueprints, we want to hear from you. You'll be instrumental in shaping security landscape, ensuring our platform remains a trusted and secure environment for our global users.
What You'll Be Doing:
This is a hands-on position. You need to love writing Python, working with APIs, and codifying infrastructure. Lead the architectural design and implementation of security solutions for cloud infrastructure, network, and applications.
Get your "hands dirty", fearlessly working on our most complex and risky problems involving production systems and networks.
Constantly push optimizations and best practices. Define and maintain security standards, frameworks, and best practices across the organization.
Collaborate closely with engineering, product, and operations teams to integrate security seamlessly into the development lifecycle and infrastructure deployments.
Evaluate and recommend security technologies and tools to enhance security posture.
Develop security reference architectures and patterns to guide engineering teams in building secure solutions.
Participate in threat modeling and risk assessment activities to proactively identify and mitigate potential security threats.
Provide expert guidance and mentorship to engineering teams on security-related topics.
Stay current with the latest security trends, threats, and technologies, and translate them into actionable strategies .

We are looking for a motivated Senior DevOps Engineer to join our Cortex Devops Production group in our Tel Aviv R&D center. The group is responsible for the reliability and availability of the production environment hosting Cortex XDR and the enablement of the entire XDR RnD group using CI tools, infrastructure, and automation.
In this role you will a part of a DevOps group that is responsible for planning, executing, and reporting the various infrastructure and code projects, as well as managing and executing high-pressure production maintenance work and issues
More information about the Cortex-XDR product can be found here.
Your Impact
You will take full end-to-end responsibility for the production environment of our SaaS product deployed on GCP
You will build tools for the automatic remediation of known issues
You will develop Infrastructure-as-code which will be used to orchestrate production and dev environments
You will design, build, maintain, and scale production services with thousands of Kubernetes clusters
You will secure the production environments and add in new security tools and features both internal our company's and other market-leading technologies
You will work closely with development teams to design and enhance software architecture to improve scalability, service reliability, cost, and performance
You will build CI pipelines and automation processes
Participate in the on-call rotation supporting the applications and infrastructure
You will research cutting-edge technologies and deploy them to production.

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.

The ideal candidate enjoys working in a fast-paced environment with highly innovative technologies.
Your Impact
Provision, configure, and support resilient hybrid cloud deployment architectures using the automation framework
Collaborate with development teams to ensure applications are production-ready, scalable, and reliable from the outset
Manage CI/CD platform, Linux infrastructure, and collaborate with other SREs to deploy and maintain the automation framework, perform capacity planning, and create and review operational runbooks.
Set up critical infrastructure and develop tools and frameworks to automate operational tasks, including the deployment of machines, services, and applications
Participate in Incident Command on-call rotation supporting critical applications and services.
Conducts root cause analysis of critical business and production issues and drives future preventive measures
Manage scalability, capacity planning, redundancy, and resiliency
Maintain service availability and performance SLAs based on business and product requirements.
Contribute to documentation related to design, deployment, validation, and operations
Design proactive service monitoring, alerting, and trend analysis of underlying infrastructure, and support the operations team in implementation
Establish end-to-end monitoring and alerting on all critical components of the application.

Required Senior DevOps Engineer
Description
The DevOps Engineer position is an operational engineering role and is an integrated part of our development team. You will be responsible for improving the efficiency of our processes, software, and infrastructure, and will be assisting RnD Team with product development. If you are DevOps Engineer that is passionate about automating and scaling everything, this job is for you.
Responsibilities
Monitor and optimize cloud infrastructure for performance, scalability, and cost-efficiency.
Manage and Maintain CI Infrastructure (GitLab CI and Jenkins).
Manage, Maintain and Improve our Release and Development Environments.
Support critical production infrastructure deployed in Multiple Clouds (AWS, Azure, and GCP).
Develop and Support RnD toolchain and implement best practices for code deployment, testing, and maintenance.
Automate On-Premises Labs Infrastructure by adopting IaC practices.
Lead and Develop Monitoring, Telemetry, Alerting, and Logging Production services.