company description
we are the global leader in identity security. centered on privileged access management, we provide the most comprehensive security offering for any identity - human or machine - across business applications, distributed workforces, hybrid cloud workloads and throughout the DevOps lifecycle. the worlds leading organizations trust us to help secure their most critical assets. to learn more about us, visit our blogs or follow us on x, linkedin or facebook. job description
the role
we are seeking a senior platform engineer to join our platform team. you will be responsible for building the technical foundation that hundreds of developers will use daily.
your goal is to make kubernetes "invisible" for our developers. you will design and implement the automated machinery-the "paved road"-that enables application teams to move from code to production securely and reliably, without managing the underlying infrastructure themselves.
responsibilities
platform engineering & automation
internal Developer platform (idp): build and maintain our Developer portal, creating a unified "single pane of glass" for service catalogs, self-service actions, and scorecards. k8s core: design, implement, and maintain production-grade kubernetes clusters with a focus on multi-tenancy, security, and high availability. gitops mastery: implement and manage automated deployment workflows using gitops principles (argocd or flux). self-service apis: create abstractions (using tools like crossplane or custom cli tools) to simplify cloud resource provisioning and integrate them directly into idp. Developer experience (devex)
workflow optimization: analyze the Developer 's "inner and outer loops" to identify friction points and automate them away via the idp. standardization: create helm charts, ci/cd templates, and "gold path" configurations that embody best practices for security and observability. technical mentorship: act as a subject matter expert for r&d teams, providing guidance on containerization, microservices architecture, and cloud-native patterns. operational excellence
observability: build comprehensive monitoring and logging stacks (prometheus, grafana, opentelemetry) and surface these metrics within idp to give developers deep insights. security & compliance: implement automated policy enforcement (opa/kyverno) and ensure all platform components adhere to identity security standards. infrastructure as code: maintain 100% of the platform via iac tools like terraform/pulumi/opentofu etc. qualifications
technical

company description
we are the global leader in identity security. centered on privileged access management, we provide the most comprehensive security offering for any identity - human or machine - across business applications, distributed workforces, hybrid cloud workloads and throughout the DevOps lifecycle. the worlds leading organizations trust us to help secure their most critical assets. to learn more about us , visit our blogs or follow us on x, linkedin or facebook. job description
we are looking for a bright, talented senior devex platform Developer to join a team of highly energized and professional engineers working on mission-critical systems in the red-hot cybersecurity industry. this role is focused on development flow productivity and building application infrastructures and tools to handle the challenges of hyper-growth and application scale.
you will design, implement, and deploy products and infrastructures that directly increase our stability and quality while reducing our time to market.
what you will do:
Developer platforms: design and develop solution-oriented enterprise DevOps platforms and tools to improve the Developer experience.
velocity & quality: create solutions to increase r&d velocity, reduce lead time, and improve overall product quality.
saas infrastructure: plan, design, and develop company's saas infrastructure, operation engine, and deployment strategy.
ci/cd & security: develop and adopt new technologies to improve ci/cd pipelines, utilizing a devsecops "shift left" approach to introduce security early in the cycle.
troubleshooting: perform platform and service troubleshooting across various applications, domains, and platforms.

You will play a key role in leading and scaling our DevOps and Cloud operations teams. Your mission is to ensure that our SaaS platform is reliable, scalable, and efficient, while enabling engineering velocity and high-quality delivery.

This is a hands-on leadership role combining technical depth with team management. You will work closely with R&D and Product to continuously improve our infrastructure, deployment processes, and production operations.


Responsibilities

DevOps Management
Architect and manage multi-cloud infrastructure (Azure, AWS, GCP).
Own CI/CD pipelines and IaC frameworks (Terraform, Pulumi).
Define and enforce SLOs/SLAs with an SRE mindset.
Manage monitoring, alerting, and incidents.
Promote Kubernetes and scalable micro-services practices.

SecOps & FinOps
Support implementation of security best practices across cloud and CI/CD environments in collaboration with Security stakeholders.
Participate in security incident response processes when relevant.
Own cloud cost visibility and optimization processes, including tagging, monitoring, and ongoing efficiency improvements.
Support business continuity and disaster recovery.
Enforce cost-efficiency policies and guardrails.

People & Process Management
Manage and develop DevOps team.
Establish and improve operational processes to support engineering delivery and production readiness.
Foster a culture of ownership and continuous improvement.
Provide operational metrics and updates to engineering leadership.

Our SaaS platform leverages AI to make information accessible, actionable, and measurable, driving productivity and satisfaction for enterprises worldwide. As we scale rapidly to support mission-critical deployments, we are strengthening our engineering foundations across cloud infrastructure, reliability, and operational excellence. About the Role You will play a key role in leading and scaling our DevOps and Cloud operations teams. Your mission is to ensure that our SaaS platform is reliable, scalable, and efficient, while enabling engineering velocity and high-quality delivery. This is a hands-on leadership role combining technical depth with team management. You will work closely with R&D and Product to continuously improve our infrastructure, deployment processes, and production operations.

Responsibilities:
DevOps Management
* Architect and manage multi-cloud infrastructure (Azure, AWS, GCP).
* Own CI/CD pipelines and IaC frameworks (Terraform, Pulumi).
* Define and enforce SLOs/SLAs with an SRE mindset.
* Manage monitoring, alerting, and incidents.
* Promote Kubernetes and scalable micro-services practices. SecOps & FinOps
* Support implementation of security best practices across cloud and CI/CD environments in collaboration with Security stakeholders.
* Participate in security incident response processes when relevant.
* Own cloud cost visibility and optimization processes, including tagging, monitoring, and ongoing efficiency improvements.
* Support business continuity and disaster recovery.
* Enforce cost-efficiency policies and guardrails. People & Process Management
* Manage and develop DevOps team.
* Establish and improve operational processes to support engineering delivery and production readiness.
* Foster a culture of ownership and continuous improvement.
* Provide operational metrics and updates to engineering leadership.

Advantages:

* Certifications in Azure, AWS, Kubernetes (CKA/CKAD), and FinOps Practitioner.
* Experience with knowledge management or AI/ML-powered SaaS products.
* Familiarity with security frameworks (NIST, ISO).

Required Devops Engineer
Petah Tikva, Israel
About us:
We are international Multi-Cloud experts, utilizing the power of the cloud for smart digital transformation. With 5 sites over 4 continents around the globe, +450 experts, +1000 customers, and +30 years of proven experience, our mission is to deliver the best Multi-Cloud service to our customers, accelerate their business and help them grow. As tech-savvies, To help our customers stay on top of their game, our teams are constantly developing new strategies and tools that will help them improve cloud performance, spending, visibility, control, and automation. Our cloud experts will make any digital transformation a quick, smart, and easy process
What You'll Do:
Design the infrastructure for hybrid-cloud deployments
Build reliable systems at scale.
Own, improve and pitch about production, stability and performance
Maintain the application layer of our public cloud and private cloud
Develop and integrate infrastructure tools in support of our production system
Automate the Provisioning and configuration
Work closely with product, QA, developers, and IT/operations departments to streamline their working methods.

Responsibilities:
* Own the design, implementation, and maintenance of DevOps processes in alignment with project requirements and industry best practices.
* Implement Infrastructure as Code (IaC), support secure development practices, work with GitOps methodologies, operate in air-gapped environments, develop scripts, and build CI/CD pipelines.
* Lead and optimize processes across all stages of the software development lifecycle, leveraging advanced technologies and tools for complex cybersecurity projects in defense systems.
* Collaborate closely with development teams and cross-functional stakeholders as part of a multidisciplinary team.

Join our R&D team as a Senior DevOps Engineer. Define and create operations tools and processes for a massively scalable system, backing 10,000s of the worlds busiest websites and apps, which will hopefully grow to become the media backbone for the whole Internet.
We offer a fun and supportive environment in which you will constantly learn and evolve, and where your ideas will be embraced and pursued.
Responsibilities:
Manage live production environments
Handle ongoing monitoring and troubleshoot failures
Provide architectural solutions for complex data and processing requirements involving large-scale systems and rapid growth
Manage live environment from server infrastructure all the way to applicative image management layers
Implement system monitoring procedures
Design & implement our systems network topology
Design, implement & develop various solutions according to R&D/Production needs
Work closely with R&D teams to enable delivering features to production
Be part of a 24/7 production support on-call rotation

we are the global leader in identity security. centered on privileged access management, we provide the most comprehensive security offering for any identity - human or machine - across business applications, distributed workforces, hybrid cloud workloads and throughout the DevOps lifecycle. the worlds leading organizations trust our company to help secure their most critical assets.
job description
as a staff engineer in the data & ai platform group, you will be a senior technical leader responsible for driving the design, implementation, and delivery of complex, high-impact features across our data and ai ecosystem. you will set engineering standards, lead cross-team initiatives, and provide hands-on technical guidance to developers working on large-scale, cloud-native distributed systems.
this role combines deep technical expertise with leadership: shaping the platforms architecture, mentoring senior engineers, and ensuring technical excellence and execution. in this role you will
lead end-to-end development of high-priority, cross-team features and initiatives in the data & ai platform. design and implement scalable, resilient, and secure distributed systems in a modern cloud environment. drive technical decision-making, influence architecture directions, and collaborate closely with product, data engineering, and ai teams. mentor developers, support their growth, and elevate engineering practices across the group. promote engineering excellence through code reviews, design reviews, and continuous improvement initiatives. evaluate new technologies and guide their adoption where appropriate. collaborate with engineers and managers across our company to align standards, share knowledge, and lead technical deep dives

Come join the team as a Staff Machine Learning Engineer. We are seeking a highly skilled ML engineer passionate about building a world-class platform at a high scale, specifically focused on delivering AI capabilities. You will be part of a vibrant team of AI Scientists and ML Engineers, helping to build the next generation of awesome products and experiences using cutting-edge Generative AI technology. If you love having stretch goals, challenges, and making customers incredibly happy while fostering your obsessive need for perfect code and user experience, this is the job for you.
Responsibilities
Design, implement, and enhance services at large scale, specifically focusing on improving Generative AI inference, quantization, optimization, finetuning, and evaluation.
Use your coding expertise to design and implement scalable, modular, and secure services.
Develop backend systems that support serving of LLMs and AI Agents at scale, utilizing the latest industry tools and techniques.
Work cross-functionally with product managers, AI scientists, business units, and other engineers to understand, implement, refine, and design Generative AI models.
Help automate, deliver, monitor, and improve GenAI solutions while taking end-to-end responsibilities including technical documentation and automation tests.
Interact with a variety of data sources, working closely with peers to refine features from the underlying data and build end-to-end pipelines.
Resolve defects and bugs during testing, production, and post-release patches, and participate in peer code reviews.
Explore the state-of-the-art technologies and apply them to deliver customer benefits.

Come join the company team as a Staff AI Engineer.
Our Data Exchange group is responsible for acquiring millions of transactions and statements a day to satisfy our customers needs in all our company products.
You will utilize your skills to help develop and maintain backend services leveraging AI and machine learning models, using both analytical algorithms and deep learning approaches, to acquire data from financial institutions on behalf of our users.
Responsibilities
Lead and apply best practices in AI driven software lifecycle management, from ideation, through development and evaluation to production deployment.
Build a backend service with AI in its core at scale (millions of users and requests daily)
Collaborate with stakeholders to define success criteria and align model metrics with business goals
Work side-by-side with product managers, business analytics, data scientists, and backend engineers in enabling AI solutions for business use cases
Explore the state-of-the-art technologies and apply them to deliver customer benefits.