לוח משרות דרושים איש DevOps, לחיפוש זה נמצאו 124 משרות

we are seeking a Senior Software Engineer (Data Engineering). You will be responsible for designing and building all data, ML pipelines, data tools, and cloud infrastructure required to transform massive, fragmented data into a format that supports processes and standards. Your work directly empowers business stakeholders to gain comprehensive visibility, automate key processes, and drive strategic impact across the company.

Responsibilities

Design and Build Data Infrastructure: Design, plan, and build all aspects of the platform's data, ML pipelines, and supporting infrastructure.
Optimize Cloud Data Lake: Build and optimize an AWS-based Data Lake using cloud architecture best practices for partitioning, metadata management, and security to support enterprise-scale operations.
Lead Project Delivery: Lead end-to-end data projects from initial infrastructure design through to production monitoring and optimization.
Solve Integration Challenges: Implement optimal ETL/ELT patterns and query techniques to solve challenging data integration problems sourced from structured and unstructured data.

-Cloud Infrastructure Platform Ownership:
Design, implement, and maintain scalable infrastructure in a multi-account AWS organization
Manage and deploy applications using Helm charts, GitOps workflows using ArgoCD
Support CI/CD pipelines and release processes.

-Observability Reliability:
Implement and maintain monitoring and logging solutions.
Define alerts, dashboards, and SLOs to ensure system health and operational excellence.

-MLOps Enablement:
Support and operate ML infrastructure in AWS
Enable reliable model deployment, monitoring, and lifecycle management.

-DevSecOps Security:
Implement security best practices across infrastructure and CI/CD pipelines
Enforce IAM least-privilege policies and secure networking configurations
Integrate security ownership and compliance controls.

-DevFinOps Cost Optimization

-IT Operational Support

We're looking for a talented DevOps engineer to join our team.
As a DevOps Engineer, you will architect and operate scalable, resilient cloud environments, using advanced automation and AI-based tools to improve system health, reduce manual intervention, and optimize infrastructure costs.
Responsibilities
Own the full lifecycle of the Coin Master platform. Ensure high availability, performance, and cost-efficiency across our multi-region AWS environment
Design and maintain robust, high-performance infrastructure using IaC. You will focus on building self-healing environments where AI agents continuously monitor and remediate issues in real-time
Embed security into the infrastructure layer. Leverage AI-assisted tooling to proactively identify and patch vulnerabilities across our Kubernetes clusters and AWS stack
Build tools and services that empower our engineering team to ship code faster. You are the architect of the platform, ensuring it is intuitive, scalable, and fully automated.

We are looking for a technically strong and AI-savvy SRE Team Lead & Escalation Manager to own production reliability, incident management, and cross-functional prioritization. This role leads our AI-driven automation strategy, drives self-healing infrastructure development, and sets a new standard for modern reliability engineering.
Key Responsibilities
Lead and mentor the SRE team; improve monitoring, alerting, and observability.
Own production incidents and escalations end-to-end - from mitigation to RCA and corrective action.
Lead the design and development of self-healing systems capable of detecting, diagnosing, and remediating incidents autonomously.
Drive automation of repetitive operational workflows using AI/ML-based solutions to reduce toil and MTTR.
Manage the cross-functional Squad handling customer and production issues; align priorities across Support, QA, R&D, and Sources.
Track key operational metrics and lead long-term reliability improvements.

Were hiring a DevOps Engineer to join our growing DevOps team. You'll be working hands-on with modern AWS-native technologies, helping us scale secure and observable cloud environments, while partnering closely with developers to build and ship reliably.
Responsibilities
Manage scalable, production-grade AWS infrastructure with Terraform
Maintain Kubernetes clusters, including deployments, autoscaling, and ingress
Handle cross-service communication using Kafka, SQS, or PubSub
Set up observability and alerting using Grafana, Prometheus, and log aggregation tools
Maintain CDN for traffic protection, rate limiting, and caching
Manage and improve CI/CD workflows using GitHub Actions and ArgoCD
Collaborate directly with developers on environment setup, debug sessions, and deployments
Implement IaC and GitOps patterns across services and teams
Participate in production operations, incident response, and on-call rotations

Welcome to the Platform Engineering DevEx group-the driving force behind Palo Alto internal developer platform! We are entering an exciting era of growth and innovation, building out specialized pillars to champion a truly world-class developer experience. We are looking for an inspiring Principal Platform Engineer to serve as our technical anchor, visionary, and culture-builder.
In this role, you will have the unique opportunity to elevate the way hundreds of developers worldwide build, deploy, and thrive every single day. You wont just build tools; you will cultivate an environment of empowerment and high velocity. By defining the "North Star" vision for our internal platform as a premium SaaS product, you will transform the "Frontend of DevOps" (Self-Service Portals, Automations, and Insights) into a seamless, joyful experience that engineers love to use. If you are passionate about cutting-edge cloud tech, delighting internal users, and bridging big-picture strategy with engineering excellence, wed love to have you build the future with us.
Your Impact:
Architect the Internal Developer Portal (IDP) Vision: Define the multi-year architectural blueprint and technology stack for our IDP. You will ensure the platform is highly scalable, extensible, and abstracts complex multi-cloud operations into a frictionless, elegant developer experience.
Govern the Enterprise "Golden Path": Standardize and govern the backend logic and API frameworks used for self-service infrastructure. You will design the foundational plugins and paving strategies that allow global R&D teams to scaffold services, provision secure cloud resources, and manage permissions autonomously.
Champion Data-Driven Engineering Culture: Own the strategy for "Service Maturity Scorecards" and organizational insights. You will design systems to aggregate and analyze data from across the entire SDLC toolchain (GitHub, Jira, Artifactory), providing executive leadership and engineering directors with clear visibility into global DORA metrics, velocity, and quality.
Design Resilient Enterprise Integrations: Architect the overarching event-driven automation framework that seamlessly glues our global toolchain together (Kubernetes, GitHub, LaunchDarkly, Artifactory). You will drive the elimination of "TicketOps" across the company, replacing it with resilient, silent, background automation.
Drive Platform Evangelism & InnerSourcing:Act as the primary advocate for the platform across Palo Alto global R&D organization. You will gather feedback from engineering leaders, cultivate an InnerSource culture where other teams contribute to the platform, and mentor senior engineers within the DevEx pillar.

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 seeking a Windows Internals Engineer for our Tel Aviv R&D center. In this role, you will be a key member of the team that designs and develops the low-level Windows components for our revolutionary Cortex XDR endpoint security product, directly contributing to our mission of protecting our digital way of life from advanced cyberattacks.
Key Responsibilities
Contribute to the research and development of Windows drivers, services, and other system-level components.
Challenge the status quo by finding and implementing innovative solutions to counter sophisticated cyberattacks.
Proactively collaborate and exchange information with engineers, security researchers, and product managers to lead projects and initiatives.
Design, develop, and debug complex, high-performance, multi-threaded code in C++.
Conduct in-depth analysis of system internals and focus on the details to produce robust, high-quality security features.
Apply learning from security research and reverse engineering to simplify complex problems and develop practical solutions.

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 Jr. DevOps / MLOps Engineer to join our R&D team and help design, build, and maintain our Machine Learning (ML), integration and deployment efforts. Responsibilities:
* Create and maintain MLOps infrastructure for Cloud and local AI training
* Improve, stabilize, and maintain existing CI processes
* Own the deployment pipeline end-to-end
* Develop reliable tools to support R&D efforts, including specialized modules and implementation of Agentic AI

Join a team of senior engineers operating in a large-scale, multi-cloud production environment supporting tens of thousands of enterprise customers worldwide. This is not a typical SRE role - youll work at the core of a complex, high-impact system alongside experienced DevOps professionals in a fast-paced, cybersecurity-focused organization.
Your Impact:
Own and operate large-scale, global production environments across multiple cloud providers (GCP, AWS, Azure)
Actively monitor, investigate, and resolve incidents triggered by automated alerting systems (PagerDuty / Incident Response)
Drive end-to-end troubleshooting across complex, distributed systems with high context switching
Design, deploy, and improve monitoring and observability systems (e.g., Prometheus, Grafana) - not just react to alerts
Collaborate closely with internal teams (CX, CS, Engineering) to ensure system reliability and performance
Work hands-on with modern DevOps and infrastructure tools including Kubernetes, Terraform, CI/CD pipelines, and GitOps workflows
Develop and maintain automation and tooling (primarily in Python)
Gain deep understanding of system architecture and interconnected services
Contribute to a culture of operational excellence in a high-scale, high-availability environment
On call responsibilities:
Daytime hours (12:00-20:00)
Occasional weekends and holidays (rotation-based).

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.

We are looking for a Senior Cloud DevOps Engineer to design, build, and optimize secure, scalable, and efficient cloud infrastructure for a live cybersecurity SaaS product. You will take ownership of infrastructure designs, production reliability, and cloud cost optimization, while working closely with other senior technical teams.
Key Responsibilities:
Design, implement, and optimize cloud infrastructure with a strong focus on scalability, security, and cost-efficiency.
Build and maintain secure cloud networking infrastructure - including VPCs, subnets, routing, VPNs, firewalls, and load balancers.
Develop Infrastructure as Code solutions using Terraform, Kubernetes, and Helm.
Enhance CI/CD pipelines and deployment workflows (Argo CD) to support frequent production releases.
Implement monitoring, alerting, and observability systems using Prometheus, Grafana, and logging tools.
Troubleshoot and resolve complex production issues, ensuring high availability and customer satisfaction.
Collaborate closely with development, security, and operations teams to integrate infrastructure with application needs.
Contribute to cloud cost optimization initiatives by improving efficiency and resource usage.
Maintain cloud security best practices and compliance with standards (e.g., SOC2, ISO27001).

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.

Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Senior FinOps Engineer, you will be tasked with being a key architect of our financial sustainability at our company. You won't just track spend, you will build the frameworks that transform complex cloud and usage data into clear, actionable strategies for the business. Joining our global FinOps team, you will act as the bridge between Product Engineering, Finance, and Leadership, ensuring our hyper-growth is matched by world-class unit economics and cloud efficiency.
What will you do?
Primary responsibilities include:
Advanced Analytics & Insights: Architect and maintain sophisticated data models that merge cloud billing data with customer usage metrics to drive deep-dive trend analysis and anomaly detection.
AI & ML Economics: Establish governance and unit-economic tracking for AI-related spend, including GPU utilization, LLM token consumption, and model training costs to ensure high ROI on AI initiatives.
Strategic Allocation: Design and govern complex cost-allocation frameworks (including Kubernetes and shared services) to ensure 100% accountability across product lines and engineering pods.
Cost Tracking & Accountability: Track and maintain critical cloud cost, identify increases and improve cost accountability across org.
Optimization & Commitment Management: Lead the strategy for Reserved Instances, Savings Plans, and CUDs across a multi-cloud environment. Proactively identify architectural rightsizing opportunities.
Forecasting & Capacity Planning: Build predictive models for cloud spend that account for customer acquisition rates, regional expansion, and product roadmap changes to safeguard company margins.
Cost Accountability: Improve cost accountability and mindset across org
Stakeholder Influence: Present quarterly business reviews (QBRs) to senior stakeholders, translating technical cloud complexities into clear financial impact.
Capitalization (CapEx) Reporting: Support the engineering capitalization process by correlating labor effort with project delivery data for financial compliance.