דרושים » תוכנה » Senior DevOps Engineer - CDP

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 seeking a DevOps Engineer with strong experience in managing large-scale data systems and infrastructure. The ideal candidate is passionate about building efficient, scalable, and reliable systems for data-intensive applications.
Responsibilities:
Take an active role across all DevOps areas, including:
Developing and maintaining monitoring and alerting infrastructure to ensure system reliability and performance.
Overseeing the development and upkeep of tools and procedures for monitoring, deployment, and alerting across our SaaS multi-tenant product family.
Design, deploy, and optimize scalable data infrastructure, including data lakes and high-throughput distributed systems.
Ensure reliability and performance in environments processing terabytes of data daily.
Manage, monitor, and maintain self-hosted open-source databases in a Linux environment.
Automate operational tasks and deployment pipelines using Bash and modern CI/CD tools.
Collaborate with Data Engineering and Infrastructure teams to streamline and harden the data lifecyclefrom ingestion to analysis.

we are the leader in Behavioral Biometrics, a technology that leverages machine learning to analyze an online users physical and cognitive digital behavior to protect individuals online. our companys mission is to unlock the power of behavior and deliver actionable insights to create a digital world where identity, trust, and ease coexist.Today, 32 of the world's largest 100 banks and 210 total financial institutions rely on our company Connect to combat fraud, facilitate digital transformation, and grow customer relationships.. our companys Client Innovation Board, an industry-led initiative including American Express, Barclays, Citi Ventures, and National Australia Bank, helps our company to identify creative and cutting-edge ways to leverage the unique attributes of behavior for fraud prevention. With over a decade of analyzing data, more than 80 registered patents, and unparalleled experience, our company continues to innovate to solve tomorrows problems.
Main responsibilities:
Data Architecture Direction: Provide strategic direction for our data architecture, selecting the appropriate componments for various tasks. Collaborate on requirements and make final decisions on system design and implementation.
Project Management: Manage end-to-end execution of high-performance, large-scale data-driven projects, including design, implementation, and ongoing maintenance.
Cost Optimization: Monitor and optimize cloud costs associated with data infrastructure and processes.
Efficiency and Reliability: Design and build monitoring tools to ensure the efficiency, reliability, and performance of data processes and systems.
DevOps Integration: Implement and manage DevOps practices to streamline development and operations, focusing on infrastructure automation, continuous integration/continuous deployment (CI/CD) pipelines, containerization, orchestration, and infrastructure as code. Ensure scalable, reliable, and efficient deployment processes.
Our stack: Azure, GCP, Kubernetes, ArgoCD, Jenkins, Databricks, Snowflake, Airflow, RDBMS, Spark, Kafka, Micro-Services, bash, Python, SQL.

We are looking for a DevOps DevOps Engineer to take ownership of our Cloud Infrastructure and Platform Engineering strategy, enabling high-scale, cutting-edge GenAI products running across 40+ Kubernetes clusters on GCP and AWS.
This role is a hands-on engineering , requiring deep expertise in cloud-native technologies, Kubernetes at scale, and modern DevOps principles. You will work closely with engineering teams to design and implement scalable infrastructure solutions, optimize developer workflows, and ensure reliability and efficiency across our platform.
Role and Responsibilities:
Cloud & Kubernetes Expertise: Design and implement highly scalable multi-cluster Kubernetes environments across GCP & AWS.
Developer Experience & Enablement: Lead the development of self-service tools and automation that improve efficiency for R&D teams.
Incident & Reliability Engineering: Work with engineering teams to optimize cost, performance, and reliability of production infrastructure through monitoring, capacity planning, and scaling strategies.
Security & Governance: Contribute to best practices for RBAC, IAM, cloud security, and compliance while ensuring infrastructure reliability.
Automation & Infrastructure as Code: Drive adoption of GitOps workflows and Infrastructure as Code (Terraform, Helm, Crossplane) to enhance automation and consistency.
Mentorship & Team Growth: Provide technical mentorship within the platform engineering team and contribute to knowledge-sharing across R&D.
Cross-Team Collaboration: Work closely with engineering teams to align cloud infrastructure goals with business needs and reliability requirements.

This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
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.

As a Senior DevOps Engineer , youll be at the forefront of shaping, operating, and scaling our production environments. Youll work closely with other engineering teams to ensure the reliability, scalability, and security of our platform, while continuously innovating and introducing modern, cutting-edge solutions.

Our workloads are fully Kubernetes-based, running on spot instances in a multi-cloud environment, with AWS as our primary cloud provider. Our architecture is stateless by design, leveraging cloud-native S3 for elastic storage and as a data lake. This enables advanced data pipelines with Airflow for data transformation and Clickhouse for high-speed queries.

This simple yet innovative architecture allows for rapid development iterations with minimal disruption to day-to-day operations, empowering constant optimization and high agility.

What Youll Do:
Proactively optimize and enhance delivery and live production environments

Partner with R&D teams by standardizing processes and providing self-serve tools for safe and fast execution

Establish and maintain efficient observability and visibility standards to support better decision-making across all teams

Enforce security and compliance best practices in day-to-day operations

Challenge and improve our technology stack by proactively introducing and developing new tools and approaches

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.

We are seeking an experienced Production Engineer to join our SRE team as part of our Platform Engineering group. This role involves taking ownership of monitoring, deploying, and ensuring the reliability of production-grade modern SaaS platforms across Cloud and On-Premise environments.



Responsibilities
Lead initiatives to enhance product reliability and system readiness.
Design and implement sophisticated monitoring solutions to ensure high availability and performance of our production platform.
Oversee and refine the entire product reliability pipeline.
Proactively troubleshoot and resolve issues across production environments.
Champion an "Everything as Code" approach using a wide range of technologies including Ansible, Terraform, Helm, Python and more.
Develop advanced tools for automation, deployment, monitoring, and operations.
Exhibit excellent communication and interpersonal skills to effectively collaborate within the team and across departments.
Promoting best practices in reliability and system operations.

we are the leader in Behavioral Biometrics, a technology that leverages machine learning to analyze an online users physical and cognitive digital behavior to protect individuals online. our companys mission is to unlock the power of behavior and deliver actionable insights to create a digital world where identity, trust, and ease coexist. Today, 34 of the world's largest 100 banks and 210 total financial institutions rely on our company Connect to combat fraud, facilitate digital transformation, and grow customer relationships.. our companys Client Innovation Board, an industry-led initiative including American Express, Barclays, Citi Ventures, and National Australia Bank, helps our company identify creative and cutting-edge ways to leverage the unique attributes of behavior for fraud prevention. With over a decade of data analysis, more than 80 registered patents, and unparalleled experience, our company continues to innovate to solve tomorrows problems.
What we're looking for:
our company delivers advanced behavioral insights, providing global organizations with actionable intelligence to create a secure and frictionless digital customer journey.
We are looking for a talented DevOps Engineer to join our team, learn develop and grow with us. In this role you will work collaboratively with our RnD teams to empower the operations and infrastructure array, which is essential to support our ambitious goals.
Build and maintain a scalable cloud infrastructure in Production (Azure, GCP)
Troubleshoot and fix Production infrastructure/platform issues
Proactively and continuously improve Production stability and robustness to assure our infrastructure components are always up and available
Develop end to end projects in order to make our infrastructure better in large-scale including design, implementation, and ongoing maintenance.
Cost Optimization: Monitor and optimize cloud costs associated with data infrastructure and processes.

We're looking for a Senior DevOps Engineer with a passion for driving efficiency and reliability. You will play a key role in evolving our DevOps practices, leading the charge on critical infrastructure initiatives and enhancing our deployment pipelines. This position involves close collaboration with engineering and product teams to translate business needs into resilient, available, and secure systems.

Responsibilities:

Evolve and maintain adaptive cloud infrastructure to support our business strategy and enable smooth growth at scale.
Improve the resiliency and cost efficiency of our cloud infrastructure.
Collaborate with developers to optimize service performance, reliability, and scale.