דרושים » מחשבים ורשתות » Principal DevOps Engineer - AI Platforms (Cortex)

We are establishing a new role focused on bridging AI capabilities with our internal DevOps platform. You will build AI-powered tools and services that run on top of the DevOps platform developed by the infrastructure team. This role combines hands-on DevOps/platform engineering work with close collaboration with software development teams, enabling them to build, deploy, and operate AI solutions efficiently, securely, and in alignment with organizational standards. You will act as a technical enabler, helping teams bring AI-driven applications into production while ensuring best practices across architecture, compliance, DevSecOps, FinOps, and AI governance. The role also includes direct contributions to the platform itself.
Your Impact
Enhance DevOps platform capabilities to support AI-based tools and workloads.
Work closely with development teams to enable and support AI application delivery end-to-end.
Assist in designing architecture and production-grade implementation of AI systems.
Lead and enforce DevSecOps practices, compliance requirements, and governance standards for AI solutions.
Develop platform components and internal services as part of the AI infrastructure layer.
Support production readiness, monitoring, performance, reliability, and cost optimization (FinOps).
Serve as a technical interface between multiple engineering teams.
Participate in future on-call rotations.

We are looking for an experienced DevOps Manager to lead and grow our DevOps function. This role combines people leadership, technical direction, and ownership of the infrastructure, tooling, automation, and operational practices that power Stamplis production environment.

You will manage DevOps Engineers, hire and onboard an additional team member, and drive the strategy, execution, and evolution of Stamplis internal DevOps platform. You will work closely with Engineering, Data, AI, Product, and Security teams to improve developer experience, enable fast and safe delivery, and keep production stable.

This role requires a strong hands-on DevOps / Platform Engineering background, combined with proven leadership capabilities. If you believe DevOps should operate as a self-service platform, love automation, and think in systems and end-to-end flows, keep reading.


What You Will Do
Lead, mentor, and manage a DevOps team, fostering ownership, excellence, collaboration, and continuous improvement.
Own the DevOps roadmap, priorities, execution, and delivery, aligned with Engineering, Data, AI, Security, and business goals.
Provide technical and architectural guidance across infrastructure, CI/CD, cloud operations, automation, observability, security, and platform engineering initiatives.
Build and evolve our internal DevOps platform, creating self-service capabilities, internal services, and golden paths that scale across teams.
Own CI/CD end-to-end, including Jenkins, GitHub, and GitHub Actions pipelines from commit to production.
Oversee and evolve our AWS stack, including ECS, EKS, Lambda, DynamoDB, Redshift, S3, DocumentDB, networking, IAM, observability, and deployment patterns.
Enable MLOps and data workflows using tools such as Airflow, MLflow, and Jupyter Notebooks.
Drive an automation-first mindset through Infrastructure-as-Code, scripting, internal tooling, and reusable components.
Lead cost optimization efforts with a FinOps mindset, including visibility, budgets, rightsizing, and workload efficiency.
Ensure security is embedded into DevOps practices, including least privilege, secrets management, vulnerability scanning, secure SDLC, and incident readiness.
Leverage AI-assisted development tools such as Cursor, GitHub Copilot, Claude Code, and ChatGPT Enterprise to improve team productivity and delivery speed.
Collaborate closely with cross-functional stakeholders to unblock delivery, improve developer experience, and maintain production stability.

we are looking for a FinOps Engineer.
In this role, you will build and own the techno-financial operations practice for cloud, infrastructure, AI, data, and third-party engineering services. You will work closely with Engineering, DevOps, AI Infrastructure, Product, and Finance to make infrastructure spend transparent, predictable, optimized, and aligned with business value.
The role is in the junction of engineering and finance, You will be responsible for creating visibility into cloud and infrastructure costs, driving optimization initiatives, improving forecasting accuracy, defining cost governance practices, and helping engineering teams make better cost-aware technical decisions without slowing down delivery.

As a Senior or Principal Software Engineer in Cortex Cloud, you will contribute to the development and scaling of cloud-native security solutions for enterprise organizations. This role involves working within an established team to evolve a high-traffic product, with a focus on refining architecture, optimizing the technology stack, and maintaining engineering standards.
Your responsibilities include writing reliable code, influencing product direction, and designing distributed systems. You will be expected to make technical decisions that impact the long-term stability and performance of cloud workload protection services.
AI Integration & Engineering Workflow
A core component of our development process is the use of AI. Rather than basic code completion, we integrate AI assistants as functional components of our workflow. Our team utilizes a multi-agent AI system (IDEX/ProDex) that assists across the development lifecycle: from planning and architecture to code analysis and security reviews.
In this role, you will:
Work with AI Tools: Utilize platforms such as Gemini, Claude, and Cursor for tasks beyond code generation, including root-cause analysis, system design reviews, and architectural assessment.
Develop AI-Augmented Workflows: Help refine how AI is integrated into the SDLC, including the orchestration of agents and the development of internal tools that extend AI capabilities across our codebase.
Maintain Quality Standards: While AI assists in increasing velocity, you are responsible for the technical output. This includes critical review of all generated code and ensuring that AI-assisted work aligns with our architectural requirements and security benchmarks.
Interact with Specialized Agents: Coordinate with AI agents (Product, Architecture, Security) that operate on shared context to assist in managing complex engineering tasks.
We are looking for engineers who are interested in leveraging AI as a technical tool to manage complexity and who want to contribute to the practical application of human-AI collaboration in a cloud environment.

we are seeking a promising and talented Senior DevFinOps Engineer to join our DevOps group. If you thrive in a fast-paced, dynamic environment, can handle multiple requests simultaneously, and enjoy working independently as part of a cutting-edge DevOps team, this is your opportunity to help make the world a safer place!
Key Responsibilities
Act as a DevFinOps Engineer within a highly skilled team, bridging engineering and finance to drive cloud cost efficiency across large-scale operations from development to production.
Design, develop, and maintain Avanan's cloud cost visibility, allocation, and optimization solutions - including tagging strategies, cost dashboards, budgets, and anomaly detection across accounts and services.
Implement tools and procedures for cost monitoring, forecasting, and alerting across our SaaS multi-tenant product family.
Embed FinOps practices into the CI/CD lifecycle - surfacing the cost impact of changes early, and enforcing cost guardrails as part of deployment automation.
build AI-based FinOps agents for cloud services at the infrastructure and application levels
Continuously identify and execute cost-optimization opportunities (right-sizing, reserved capacity/savings plans, spot usage, storage tiering, idle-resource cleanup) without compromising performance, reliability, or security.
Partner with engineering teams to drive cost accountability - providing unit-economics insight (cost per tenant/feature/service) and making cost a first-class engineering metric.
Plan capacity and model the financial impact of scaling decisions, balancing cost efficiency with fault tolerance and growth.
Design and shape our cost reporting, chargeback/showback, and budgeting solutions.
Execute all tasks with cloud infrastructure security and financial governance as guiding principles.

we are looking for a Senior Infrastructure Engineer to work on our dedicated engineering team building processing pipelines, information storage systems, and presentation layers in support of intelligence analysts.

The collection, processing, and exploration of malware samples and other information at a large scale is at the core of the Intelligence mission The Intelligence Automation team is responsible for prototyping, building, and operating the systems that enable this mission, and we'd like you to join us!

Your job will be to build, maintain, and improve infrastructure to support the entire breadth of our teams activities. You will work on classical datacenter and cloud infrastructure as well as environments for malware sandboxing or world-wide threat monitoring and hunting.

Advancing our fast-paced intelligence mission, requirements sometimes shift rapidly, and projects can live anything from weeks to years depending on changes in the surrounding ecosystem. It will be your responsibility to provide an infrastructure that can keep up with and adapt to these changes.

Occasionally things inside or outside of your control break and you will use your debugging skills to pinpoint the issue no matter whether it is on a hardware, network, cloud, kernel, or user space level.

You will be responsible for all aspects of the infrastructure you design, build, and maintain. This includes gathering requirements, making technical choices, creating documentation, securing workloads, upskilling colleagues, proactively monitoring operations, and gathering feedback from stakeholders.

You will join a team of very experienced infrastructure engineers who will always have your back. However, as a remote employee on a team distributed across many regions and time zones, you will not have direct access to all of your co-workers for the entire workday. Thus, the ability to work unsupervised, communicate asynchronously, and take the initiative in maintaining lines of communication is crucial. Additionally, we are looking for someone who would like to be part of a team who are passionate about their work and go the extra mile to exceed expectations. We love enthusiastic individuals who bring a positive attitude to their work and really care about what they produce for our stakeholders.

What You'll Do:

Maintain a can-do attitude and be solution-oriented

Deliver on ambiguous assignments and quickly evolving requirements in a fast-paced environment

Design, implement, document, and maintain our multi-cloud infrastructure

Be a consultant to development teams to ensure smooth deployment, monitoring, and maintenance of applications and services

Develop and maintain infrastructure-as-code (IaC) and management automation tools

Secure traditional and AI workloads

Ensure high availability, scalability, and performance of our systems

Troubleshoot and resolve complex infrastructure issues

Deploy, monitor, and troubleshoot relational and NoSQL databases

Mentor junior engineers and contribute to knowledge sharing within the team

Stay up-to-date with industry trends, best practices, and emerging technologies

Judge security and compliance risk

We are seeking a skilled and motivated DevOps engineer with deep familiarity in the streaming ecosystem to join our elite infrastructure team. If you're excited by the challenge of operating mission-critical systems at scale and optimizing the developer experience through automation and tooling, wed love to hear from you.

What you will do:

Automate Deployment and Operation
Oversee deployment of Kafka and RabbitMQ clusters (including Confluent Cloud & CFK). Build automation pipelines to ensure repeatability and resiliency across environments.

Monitor and Support Production Systems
Own production stability of global Kafka clusters. Handle on-call rotations, incident management, troubleshooting, and scaling challenges.

Improve Infrastructure Observability
Build and maintain observability systems: dashboards, alerting pipelines, metrics collection (Prometheus, Grafana, etc.).

Optimize System Performance
Collaborate with peers on benchmarking and optimization initiatives. Work on tuning Kafka brokers, cluster configurations, and runtime parameters.

Provide Developer Support and Training (Infra-focused)
Help developers configure topics, quotas, and consumers appropriately. Train service owners to interpret monitoring data and avoid pitfalls.

Develop and Maintain Infrastructure
Contribute to building infrastructure tools and scripts (IaC, Helm charts, etc.) that make provisioning and managing clusters reliable and efficient.

Secure Infrastructure Access
Configure and maintain secure access patterns across streaming infrastructure, ensuring proper authentication and role-based access controls are enforced for both developers and services.

we are looking for a DevOps Engineer.
our DevOps team operates the infrastructure that powers our AI and Computer Vision platform across construction sites in 15+ countries. From data pipelines and ML workloads to backend services - you'll work with a diverse, modern, Kubernetes-based stack and have real influence on how we build, deploy, and operate.
What you'll do:
Own Multi-Cloud Infrastructure: Work alongside the team to design, scale, and operate our high-scale, multi-region production infrastructure across AWS and GCP, powering construction sites globally.
Drive Kubernetes at Scale: Manage and evolve our Kubernetes platform on EKS and leveraging GitOps practices with ArgoCD and Helm to enable safe, fast, and reliable deployments.
Build Robust CI/CD: Design and maintain CI/CD pipelines that empower dozens of engineers to ship confidently - with automation, testing, and progressive delivery built in.
Tackle Diverse Infrastructure Challenges: Work hands-on with a wide variety of workloads - from heavy data processing and Computer Vision pipelines to backend services and ML inference - each with unique scaling, performance, and reliability requirements.
Ensure Reliability & Observability: Build and maintain world-class observability (metrics, logs, tracing, alerting) so that issues are caught early and resolved fast. Performance, reliability, and scalability are at the core of what you do.
Security & Cost: Partner with the team to strengthen our security posture, identity and access management, compliance, and cloud cost optimization across both clouds.
Ownership from 0 to 1: You will have real influence over our architecture and tooling. We want engineers who care about shaping what we build and how we build it, ensuring performance, security, and observability are baked in from day one.

The Enterprise Browser Platform, developed by Talon Cyber Security, plays a critical role in today's digital landscape by enabling secure and efficient remote work. Its capability to protect unmanaged devices lets users work from anywhere confidently, meeting the growing need for flexibility and security in the modern workplace.
As a DevOps Engineer within the Enterprise Browser Platform Group, a division born from the acquisition of Talon Cyber Security, you will contribute significantly to a cutting-edge environment. Your expertise will be pivotal in developing and operating our modern technology stack, which includes:
AWS & GCP as cloud providers
Terraform & Terragrunt for Infrastructure as Code
Microservices architecture over Kubernetes
ArgoCD and GitOps practices
Datadog as the observability platform
You will ensure the continuous delivery, quality, performance, and reliability of our enterprise browser platform.
Your Impact
Implement and optimize CI/CD pipelines and cloud infrastructure using our technology stack, ensuring efficient and reliable deployment to production.
Participate in the deployment of monitoring and alerting systems to maintain high system performance and reliability.
Collaborate with software development and other cross-functional teams to streamline and enhance processes, aiming for efficiency and alignment with business goals.
Contribute to the management of the cloud infrastructure, utilizing Infrastructure as Code principles.

Palo Alto Networks is seeking a Senior or Principal Backend Engineer (we are open to hire both levels) for our Cortex engineering group, focusing on Cortex XSOAR, Cortex XSIAM, and new Cortex AI solutions. In this role, you will design and implement robust backend services for our leading-edge security orchestration, automation, and response platform. You will also contribute to creating innovative AI-based solutions, enhancing shared Cortex infrastructures. This is an exceptional opportunity for those eager to advance Cortex products with AI-driven capabilities and make a significant impact in the cybersecurity industry.
Your Impact:
Own the end-to-end backend development of features and components, from design and development to testing, deployment, and maintenance.
Proactively collaborate and exchange information with peers across different teams and disciplines to shape solutions and ensure alignment on product integrations.
Contribute to team-wide efforts including code reviews, design reviews, and architectural decisions, ensuring high-quality and maintainable code.
Apply a production-oriented approach, providing real-time mitigation and effective solutions to production issues to ensure platform stability and reliability.
Challenge curiously and positively by exploring new technologies and methodologies to enhance our backend services and AI capabilities.