דרושים » תוכנה » Infrastructure Engineer- CPA (Cortex XDR)

Join a new initiative within the Cortex XDR agent group as an Infrastructure and internal tooling Software Engineer, focused on enhancing developer velocity and quality. You will be part of a task force developing end-to-end testing frameworks, innovating CI processes, and incorporating new tools to streamline development. This role is pivotal in improving processes and increasing the efficiency of our security R&D group. You will work with multiple stakeholders to build productive relationships and drive the team's success.
Key Responsibilities
Implement and manage an end-to-end Python testing framework for developers to run tests in development and CI.
Set up and maintain innovative CI/CD processes to streamline development and ensure high-quality software outputs.
Enhance developer productivity by contributing to initiatives that increase development velocity and reduce routine tasks.
Lower code to product CI/CD cycle time.
Collaborate with development, research, DevOps, and QA teams to align infrastructure projects with their requirements.
Continuously learn and adapt new technologies and tools to keep the development process efficient.

Were looking for a highly effective and experienced Backend Python Engineer with deep Python expertise to design and deliver scalable, resilient systems as part of a highly successful and collaborative engineering team.


In this role, you will work on highly innovative, next-generation security technologies within our Human Risk Management (HRM) product group. Human Risk Management is a comprehensive approach to cybersecurity that focuses on understanding, measuring, and mitigating risks associated with human behaviour across an organization.


You will contribute in technical design and code quality, and will be responsible for designing and building a new, large-scale analytics database from the ground up, forming a core foundation of our risk scoring and HRM capabilities. This is a hands-on role with meaningful ownership across the full software development lifecycle.


Your day-to-day:

Lead the design and development of core backend components of a large-scale SaaS platform using Python.

Design, build, and maintain RESTful APIs and highly available management services.

Design and implement scalable distributed systems and intelligent network data-path processing.

Design, build, and evolve a new large-scale analytics database from the ground up, responsible for ingesting high-volume security signals and calculating human risk scores at scale.

Champion engineering best practices, system reliability, and maintainable code.

Contribute to in-depth code reviews, architectural guidance, and mentoring of other engineers.

As a Senior IT SRE Engineer, you will be a key player in ensuring the reliability, scalability, and performance of our critical IT infrastructure. You will leverage SRE principles and an automation-first mindset to build and maintain resilient hybrid cloud environments. This role is ideal for a candidate who thrives in a fast-paced, innovative setting and is passionate about solving complex challenges with cutting-edge technology.
Key Responsibilities
Provision, configure, and support resilient hybrid cloud deployment architectures using an Infrastructure-as-Code framework.
Proactively collaborate with development teams to ensure new applications are production-ready, scalable, and reliable from inception.
Develop and maintain tools and frameworks to automate operational tasks, including deployment, monitoring, and recovery.
Conduct thorough root cause analysis of production issues and implement preventative measures to improve system resilience, demonstrating strong problem-solving skills.
Manage CI/CD platforms, Linux infrastructure, and contribute to capacity planning and operational runbooks.
Design and implement proactive service monitoring, alerting, and trend analysis to maintain service availability and performance SLAs.
Participate in an on-call rotation to support critical applications and services, responding to and resolving incidents efficiently.
Contribute to comprehensive documentation related to infrastructure design, deployment, and operational procedures.

As a Senior DevOps Engineer In Threat Cloud, you will be pivotal in designing, implementing, and maintaining our cloud infrastructure. You will join a highly technological team responsible for managing Threat Cloud AI cloud environments, optimizing infrastructure, and ensuring security and cost efficiency. In this role, you will collaborate with key stakeholders across the company, including R&D, Security, and Product teams, to automate processes, streamline operations, and drive impactful changes in our cloud strategy.
Key Responsibilities
Impactful Contribution: Play a major part in shaping the Threat Cloud strategy, focusing on innovation and long-term success.
Lead the team towards technical solutions guided by a strong understanding of the latest and greatest technologies like Kubernetes,GitOps and Data Lake solutions.
Tackle large-scale production issues and bring out-of-the-box thinking to the table
Cross-Functional Collaboration: Work closely with all major stakeholders in the company, including R&D, Security, Product, and more, to ensure seamless integration of DevOps practices.
Automation & Streamlining: Help automate and streamline our operations and processes, enhancing efficiency and reducing manual intervention.
Evaluate new cloud-native technologies and vendor products to continuously improve our infrastructure.

We are seeking an Engineering Manager to lead a cross-platform team within the Cortex XDR agent group. In this role, you will lead a group of talented engineers, making critical technical decisions and driving the team's priorities to build revolutionary security capabilities. You will own large projects, guide your engineers, and deliver impactful results in a rapidly changing environment, shaping the future of endpoint protection for millions of users.
Key Responsibilities
Lead, mentor, and manage a team of cross-platform engineers, guiding them through technical challenges, system design, and large-scale projects to deliver results.
Proactively collaborate and exchange information with Product, QA, and other stakeholders to improve processes and ensure successful project alignment.
Provide technical guidance and mentorship to engineers of all levels, fostering an environment of continuous learning and high-quality code delivery.
Take full ownership of product flows from a technical standpoint, partnering with Product Managers to define and deliver new features.
Focus on the customer by analyzing and resolving complex field-reported issues, reinforcing a customer-centric engineering approach.
Drive team growth by leading the hiring process for new engineers and fostering a positive, engaged, and motivated team environment.
Empower team members by providing regular, constructive performance feedback and creating opportunities for professional development.

We are looking for a hands-on Senior DevOps Engineer with a strong cloud-native mindset to build, maintain, and evolve our highly scalable, highly-available cloud infrastructure. This role is pivotal in driving operational excellence, security, and automation across our entire engineering organization. You will promote communication, integration, and collaboration to significantly enhance our software development productivity and reliability. You'll work closely with engineering and product teams to streamline delivery, enforce platform standards, and enable a high-velocity development environment-all while keeping reliability and security top of mind.
Responsibilities
Design, Automate, and Manage complex cloud infrastructure on AWS using best-in-class Infrastructure as Code (IaC) practices.
Lead the operation and enhancement of our production Kubernetes environments (EKS), focusing on automation, security, observability, and seamless CI/CD integration.
Drive continuous improvement across platform tooling, developer experience, and operational processes to meet our ambitious performance and uptime goals.
Implement and enforce security-first infrastructure patterns, including strong IAM, network segmentation, and secure secrets management.
Actively contribute to high-level technical design discussions and cross-functional architectural decision-making, ensuring solutions align with long-term platform strategy.

We are seeking an experienced engineer to join our team that owns the network stack for EC2 distributed AI/ML systems. The team develops support for a variety of frameworks and communication libraries including NCCL, NVSHMEM, NIXL, NCCL GIN, and Perplexity kernels. Solid knowledge of Linux, networking, and performant coding is important. Experience with embedded systems is valued, and experience with high-speed networking or HPC/RDMA interconnects is highly valued.

If you like solving hard problems, want to work with HPC and ML customers, iterate fast and deliver meaningful solutions at scale, then come join us! This truly is a role at the forefront of AI/ML-you'll be working on features for the largest clusters, with the largest customers, for the largest AI models.

Key job responsibilities
Be a senior engineer on a team that builds and maintains the infrastructure that monitors and reports on functionality and performance of massive testing workloads run at scale. Use our internal CI/CD tools, Linux, and public AWS products to automate the delivery of our software to customers, saving developer time. Write Python code that effortlessly spools up large clusters and runs benchmarks and applications for ML and HPC workloads. Use AWS Managed Grafana and Athena to digest the massive amount of performance data generated by these workloads and create dashboards for developers and stakeholders. Invent automatic mechanisms to alert developers to functional and performance regressions so they never reach reach customers. Manage the complexity of infrastructure that covers many instance types, software stacks, Linux operating systems, cutting-edge releases and make it easy to evolve.

As a Principal Software Engineer on the Cortex Platform team, you will be part of a group with the mentality and independence of a startup, backed by the power of a successful corporation. You will be instrumental in designing and building a massive-scale infrastructure that supports billions of events per second. Your work will involve storing, processing, and visualizing data to collaborate with the industry's leading cyber products and deliver unparalleled security insights.
Key Responsibilities
Own the end-to-end software development lifecycle, from requirement analysis and design through to development, deployment, and ongoing support.
Architect, design, and develop highly scalable, distributed backend services capable of processing billions of events per second.
Proactively collaborate and exchange information with cross-functional teams, including product management and other engineering groups, to ensure alignment on goals and deliverables.
Drive technical innovation by proposing and implementing new ideas and initiatives, transforming concepts into tangible product features.
Ensure high standards of code quality, performance, and reliability through rigorous code reviews, automated testing, and proactive system monitoring.
Mentor and empower other engineers on the team, sharing knowledge of best practices in software design and cloud technologies.

As a Senior IT SRE Engineer, you will be a key player in ensuring the reliability, scalability, and performance of our critical IT infrastructure. You will leverage SRE principles and an automation-first mindset to build and maintain resilient hybrid cloud environments. This role is ideal for a candidate who thrives in a fast-paced, innovative setting and is passionate about solving complex challenges with cutting-edge technology.
Key Responsibilities
Provision, configure, and support resilient hybrid cloud deployment architectures using an Infrastructure-as-Code framework.
Proactively collaborate with development teams to ensure new applications are production-ready, scalable, and reliable from inception.
Develop and maintain tools and frameworks to automate operational tasks, including deployment, monitoring, and recovery.
Conduct thorough root cause analysis of production issues and implement preventative measures to improve system resilience, demonstrating strong problem-solving skills.
Manage CI/CD platforms, Linux infrastructure, and contribute to capacity planning and operational runbooks.
Design and implement proactive service monitoring, alerting, and trend analysis to maintain service availability and performance SLAs.
Participate in an on-call rotation to support critical applications and services, responding to and resolving incidents efficiently.
Contribute to comprehensive documentation related to infrastructure design, deployment, and operational procedures.

We're looking for a Senior AI Infrastructure Engineer to join a group that specializes in Security and Networking, and specifically ML/AI, MLOps, and agentic AI development. As a Senior AI Infrastructure Engineer, youll build and maintain the infrastructure, tools and processes necessary to support the AI lifecycle in a production environment. You will collaborate closely with data scientists, software engineers, and security architects to ensure smooth development, deployment, evaluation, and optimization of AI pipelines, models, and agents. This role requires a balance of high-level engineering rigor and a collaborative spirit; youll be a technical anchor and a supportive peer for teams across the organization.



What youll be doing:

Architecting, developing and optimizing scalable infrastructure for deploying security and networking AI models and agents in production.

Managing ML/agentic workflows to ensure performance, high availability, resource efficiency, and cost-effectiveness.

Designing and implementing pipelines and frameworks for AI training, inference, and experimentation.

Partnering with data scientists and security architects to operationalize AI agents, including packaging and integration with existing systems. This includes contributing to and reviewing code, design documents, and test plans.

Partnering with DevOps teams to integrate pipelines and workflows into CI/CD processes, ensuring reliable deployments and rollbacks.

Building proactive monitoring systems to identify issues in quality and infrastructure before they impact production.

Implementing access controls, authentication mechanisms, and encryption standards to keep our AI models and data secure.

Documenting guidelines and leading knowledge-sharing sessions to elevate the teams collective development expertise.