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לפני 17 שעות
Location: Tel Aviv-Yafo
Job Type: Full Time
we are building an internal carrier-grade testbeda cloud-native platform that spins up realistic ISP-level topologies on Azure AKS so every engineer can validate new routing features straight from the monorepo. As Network Simulation Platform Lead you will architect, code and operate this infrastructure, weaving it into our GitHub Actions → Argo CD pipeline and mentoring a small DevOps-minded team.
What you will do
Design & build the platform develop Python services, Kubernetes operators and Temporal/Airflow workflows that simulate BGP, EVPN, fail-overs and traffic storms.
Own cloud & container operations deploy, scale and troubleshoot high-throughput networking workloads on Azure AKS; craft custom Docker images and automate resource lifecycle management.
Integrate with CI/CD plug the simulation framework into our nx-based monorepo using GitHub Actions and GitOps with Argo CD; provide one-click, self-service environment spin-up/down for development and testing.
Champion DevOps practices manage Helm/kubectl manifests, secrets, observability hooks and automated cleanup; keep infra-as-code tidy and reviewable.
Lead the team mentor 4-6 engineers, run design reviews, pair on complex infra problems and uphold high standards for code quality and security.
Collaborate cross-functionally work daily with feature developers, networking architects and QA automation engineers to embed simulation hooks directly into everyday workflows.
Requirements:
What were looking for
Leadership experience 2 + years guiding engineering or DevOps teams that own internal tooling or platforms.
Strong coding skills deep Python expertise plus readiness to dive into Go/Bash/YAML when useful.
Cloud-native mastery hands-on knowledge of Azure, Azure Kubernetes Service, container orchestration and distributed micro-services.
DevOps craftsmanship proven record configuring GitHub Actions pipelines, GitOps delivery with Argo CD, and maintaining nx monorepos.
Networking fundamentals solid grasp of routing protocols, load balancing and fault-tolerance patterns in distributed systems.
Nice to have
Experience with Helm templating or Crossplane-style provisioning.
Background in performance, chaos or security testing for distributed systems.
Familiarity with observability stacks (Prometheus / Grafana) or dashboard UI work.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a DevOps Engineer-IDP Team
What Youll Do:
Streamline Delivery Build and run self-service pipelines with our internal Platform Orchestrator, which uses ArgoCD & Argo Workflows for build, test ,deploy, validate, and scan.
Elevate DevEx Grow Backstage into the single entry point for engineers through catalogs, golden-path templates, and clear docs.
Software Rollout Strategies - Define safe rollout strategies (blue/green, canary, Argo Rollouts) and automate promotions across environments.
Incident-Ready Platform Participate in platform on-call, drive post-mortems, and turn findings into hardening and auto-healing features.
Automate Everything Craft Python/Go tools and CLIs that eliminate toil and bake best practices into everyday workflows.
Requirements:
5+ years as a DevOps / Platform / Infrastructure engineer in a tech company.
Proven success designing and scaling internal CI/CD orchestration systems leveraging CICD tools.
hands-on expertise with Argo CD, Argo Workflows, Backstage, and Kubernetes.
Strong coding skills in Python (bonus: Go or TypeScript).
Solid understanding of containerization, IaC , k8s operators and cloud-native observability (Prometheus, Grafana, OpenTelemetry).
A true platform-as-a-product mindset: you measure success by the productivity and happiness of fellow engineers.
Excellent communicationclear docs, engaging workshops, and persuasive storytelling.
Nice to Have:
Service mesh (Istio, Linkerd) and progressive delivery (Argo Rollouts, Flagger).
Experience migrating traditional pipelines to Git-Ops workflows.
Backstage plug-in development or broader CNCF toolchain familiarity (Crossplane, Helm, Kustomize).
This position is open to all candidates.
 
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31/08/2025
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
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.
Requirements:
5+ years of DevOps, or SRE experience
3+ years working with public cloud platforms (AWS, GCP) at scale
Deep Kubernetes expertise, including managing large-scale, multi-cluster enterprise-grade Kubernetes environments
Experience designing and managing Custom Resource Definitions (CRDs) and custom controllers
Strong background in Infrastructure as Code (Terraform, Helm) and GitOps principles (ArgoCD, Crossplane, FluxCD, etc.)
Hands-on experience in observability & monitoring (Prometheus, Grafana, Datadog, OpenTelemetry, etc.)
Proficiency in scripting & automation (Python, Go, Bash) for infrastructure automation
Expertise in cloud networking (VPC, load balancers, service meshes) and security best practices (RBAC, IAM, security groups, network policies, etc.)
Experience with CI/CD pipelines, optimizing for performance, security, and developer velocity
Nice-to-Have:
Experience with self-hosted on-prem deployments and managed private VPC deployments (Bring Your Own Cloud models)
Advanced expertise in Helm and Crossplane for Kubernetes resource management.
Other cloud provider experience
Experience in GenAI or large-scale SaaS platforms
Familiarity with SQL/NoSQL databases and distributed systems
DevSecOps experience, with a strong understanding of security automation and compliance frameworks
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
were looking for a DevOps engineer to take the lead on one of the most critical technical challenges in our business: how we deploy software at scale.
Today, deploying our core system into each store is a complex, multi-stage process. Tomorrow, it needs to be seamless, automated, and capable of onboarding dozens of stores per weekwithout sacrificing versatility and quality
This role isnt just about CI/CD or scripting. Its about refining the automation infrastructure that enables repeatable, self-service deployments across hundreds of live, mission-critical environments. Youll sit at the heart of our Ops Technology team, working at the intersection of system engineering and in-store execution, and serving as the technical backbone for deployment scale.
You'll help shape and evolve our DevOps toolsetworking hands-on with cutting-edge technologies to streamline deployments, boost reliability, and scale our platform with speed and confidence. For the right person, this role is a stepping stone toward technical leadership in one of most strategic teams.
A day in the life:
Design and build the software deployment framework that powers in-store systems at scale
Lead remote deployments using Octopus Deploy, driving repeatability and automation
Set up and manage Kubernetes clusters for scalable microservices in diverse environments
Deploy and monitor services with a focus on resilience, observability, and recovery
Troubleshoot complex issues across CI/CD, environments, services, and infrastructure
Collaborate with System Engineering and SRE peers to ensure smooth end-to-end deployment flows
Continuously evolve our CI/CD pipelines, deployment logic, and infrastructure-as-code practices
Build tooling, templates, and documentation to enable fast, low-touch deployments by others
Serve as a technical leader and force multiplier within the Ops Tech team
Requirements:
3+ years in DevOps, Infrastructure, or SRE roles with deep end-to-end ownership
Solid background in Kubernetes, container orchestration, and microservices
Experience deploying and supporting systems in live production environments
Strong CI/CD skills with tools like GitHub Actions, GitLab CI, or Jenkins
Scripting proficiency in Bash, PowerShell, or Python
Familiarity with monitoring, alerting, and diagnostics (Prometheus, Grafana, etc.)
Experience with infrastructure-as-code tools like Terraform, Helm, etc.
Excellent troubleshooting skills and a bias toward automation and scale
Strong communication and the ability to work cross-functionally and independently
Nice to have:
Experience with Azure and GCP
Understanding of K8s networking, service meshes, ingress controllers
Passion for enabling othersthrough tools, documentation, or mentorship
Proven ability to drive change in fast-moving, operationally complex environments
Expertise with Octopus Deploy and experience deploying software remotely
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking an experienced Solutions Data Engineer who possess both technical depth and strong interpersonal skills to partner with internal and external teams to develop scalable, flexible, and cutting-edge solutions. Solutions Engineers collaborate with operations and business development to help craft solutions to meet customer business problems.
A Solutions Engineer works to balance various aspects of the project, from safety to design. Additionally, a Solutions Engineer researches advanced technology regarding best practices in the field and seek to find cost-effective solutions.
Job Description:
Were looking for a Solutions Engineer with deep experience in Big Data technologies, real-time data pipelines, and scalable infrastructuresomeone whos been delivering critical systems under pressure, and knows what it takes to bring complex data architectures to life. This isnt just about checking boxes on tech stacksits about solving real-world data problems, collaborating with smart people, and building robust, future-proof solutions.
In this role, youll partner closely with engineering, product, and customers to design and deliver high-impact systems that move, transform, and serve data at scale. Youll help customers architect pipelines that are not only performant and cost-efficient but also easy to operate and evolve.
We want someone whos comfortable switching hats between low-level debugging, high-level architecture, and communicating clearly with stakeholders of all technical levels.
Key Responsibilities:
Build distributed data pipelines using technologies like Kafka, Spark (batch & streaming), Python, Trino, Airflow, and S3-compatible data lakesdesigned for scale, modularity, and seamless integration across real-time and batch workloads.
Design, deploy, and troubleshoot hybrid cloud/on-prem environments using Terraform, Docker, Kubernetes, and CI/CD automation tools.
Implement event-driven and serverless workflows with precise control over latency, throughput, and fault tolerance trade-offs.
Create technical guides, architecture docs, and demo pipelines to support onboarding, evangelize best practices, and accelerate adoption across engineering, product, and customer-facing teams.
Integrate data validation, observability tools, and governance directly into the pipeline lifecycle.
Own end-to-end platform lifecycle: ingestion → transformation → storage (Parquet/ORC on S3) → compute layer (Trino/Spark).
Benchmark and tune storage backends (S3/NFS/SMB) and compute layers for throughput, latency, and scalability using production datasets.
Work cross-functionally with R&D to push performance limits across interactive, streaming, and ML-ready analytics workloads.
Requirements:
24 years in software / solution or infrastructure engineering, with 24 years focused on building / maintaining large-scale data pipelines / storage & database solutions.
Proficiency in Trino, Spark (Structured Streaming & batch) and solid working knowledge of Apache Kafka.
Coding background in Python (must-have); familiarity with Bash and scripting tools is a plus.
Deep understanding of data storage architectures including SQL, NoSQL, and HDFS.
Solid grasp of DevOps practices, including containerization (Docker), orchestration (Kubernetes), and infrastructure provisioning (Terraform).
Experience with distributed systems, stream processing, and event-driven architecture.
Hands-on familiarity with benchmarking and performance profiling for storage systems, databases, and analytics engines.
Excellent communication skillsyoull be expected to explain your thinking clearly, guide customer conversations, and collaborate across engineering and product teams.
This position is open to all candidates.
 
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31/08/2025
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for an exceptional MLOps Team Lead to own, build, and scale the infrastructure and automation that powers state-of-the-art Large Language Models (LLMs) and AI systems.
This is a technical leadership role that blends hands-on engineering with strategic vision. You will define MLOps best practices, build high-performance ML infrastructure, and lead a world-class team working at the intersection of AI research and production-grade ML systems.
You will work closely with LLM Algorithm Researchers, ML Engineers, and Data Scientists to enable fast, scalable, and reliable ML workflows covering everything from distributed training to real-time inference optimization.
If you have deep technical expertise, thrive in high-scale AI environments, and want to lead the next generation of MLOps, we want to hear from you.
Requirements:
3+ years of experience in MLOps, ML infrastructure, or AI platform engineering.
2+ years of hands-on experience in ML pipeline automation, large-scale model deployment, and infrastructure scaling.
Expertise in deep learning frameworks (like PyTorch, TensorFlow, JAX) and MLOps platforms (like Kubeflow, MLflow, TFX).
Proven track record of building production-grade ML systems that scale to billions of predictions daily.
Deep knowledge of Kubernetes, cloud-native architectures (AWS/GCP), and infrastructure as code (Terraform, Helm, ArgoCD).
Strong software engineering skills in Python, Bash, and Go, with a focus on writing clean, maintainable, and scalable code.
Experience with observability & monitoring stacks (Prometheus, Grafana, Datadog, OpenTelemetry).
Strong background in security, compliance, and model governance for AI/ML systems.
Leadership & Execution:
Proven ability to lead high-impact engineering teams in a fast-paced AI environment.
Ability to drive technical strategy while remaining hands-on in critical areas.
Strong cross-functional collaboration skills, working closely with research and engineering teams.
Passion for automation, efficiency, and designing scalable self-service MLOps solutions.
Experience in mentoring and coaching engineers, fostering a culture of innovation and continuous learning.
It Would Be Great If You Have:
Experience working with LLMs and large-scale generative AI models in production.
Expertise in optimizing model inference latency and cost at scale.
Contributions to open-source MLOps tools or AI infrastructure projects.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Senior Data Engineer to join our Platform group in the Data Infrastructure team.
Youll work hands-on to design and deliver data pipelines, distributed storage, and streaming services that keep data platform performant and reliable. As a senior individual contributor you will lead complex projects within the team, raise the bar on engineering best-practices, and mentor mid-level engineers while collaborating closely with product, DevOps and analytics stakeholders.
Requirements:
5+ years of hands-on experience in backend or data engineering, including 2+ years at a senior level delivering production systems
Strong coding skills in Python, Kotlin, Java or Scala with emphasis on clean, testable, production-ready code
Proven track record designing, building and operating distributed data pipelines and storage (batch or streaming)
Deep experience with relational databases (PostgreSQL preferred) and working knowledge of at least one NoSQL or columnar/analytical store (e.g. SingleStore, ClickHouse, Redshift, BigQuery)
Solid hands-on experience with event-streaming platforms such as Apache Kafka
Familiarity with data-orchestration frameworks such as Airflow
Comfortable with modern CI/CD, observability and infrastructure-as-code practices in a cloud environment (AWS, GCP or Azure)
Ability to break down complex problems, communicate trade-offs clearly, and collaborate effectively with engineers and product partners
Bonus Skills:
Experience building data governance or security/compliance-aware data platforms
Familiarity with Kubernetes, Docker, and infrastructure-as-code tools
Experience with data quality frameworks, lineage, or metadata tooling
This position is open to all candidates.
 
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31/08/2025
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for a DevOps Team Leader to lead our DevOps efforts as we scale. This is a hands-on leadership role requiring deep technical expertise, strong project and people management skills, and the ability to navigate complex stakeholder environments.

The ideal candidate will lead the day-to-day operations of the DevOps team, ensure operational excellence, drive platform improvements, and manage cross-functional alignment with Dev/Finance/Security/ higher manager.

Responsibilities
Team Leadership & Execution

Lead, mentor, and grow a high-performing DevOps team.
Manage day-to-day operations including incident management and task prioritization.
Ensure SLAs and compliance requirements are met.
Balance proactive platform improvements with reactive issue resolution.
Platform Ownership

Oversee the design, implementation, and maintenance of a secure, scalable, multi-region AWS infrastructure.
Own CI/CD pipelines, infrastructure-as-code (IaC), observability (logs, metrics, tracing), and automation tooling.
Ensure robust disaster recovery (DR) and business continuity practices are in place and regularly tested.
Stakeholder Collaboration

Act as the main point of contact between DevOps and external/internal stakeholders: Banks, Regulators, Security teams, NOC/SOC, and Development teams.
Communicate clearly on priorities, incidents, risks, timelines, and platform status.
Represent DevOps in cross-functional planning and reviews.
Process & Standards

Define and evolve the DevOps teams SDLC, deployment standards, and incident response processes.
Drive best practices in monitoring, alerting, and reliability engineering.
Champion a culture of ownership, transparency, and continuous improvement.
Requirements:
7+ years of DevOps / SRE experience, including at least 2 years in a leadership or tech lead role.
Proven experience managing multi-region AWS production environments.
Strong skills in Terraform, Kubernetes, CI/CD (e.g., GitHub Actions), observability tools (e.g., Datadog, Prometheus, OTLP).
Hands-on experience with high-availability systems, disaster recovery, and compliance-driven environments.
Ability to balance short-term firefighting with long-term vision.
Excellent communication and stakeholder management skills.
This position is open to all candidates.
 
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10/09/2025
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
We are looking for a Site Reliability Engineer (SRE) to join our Engineering team. Someone who has a passion for observability, monitoring, automation, and high-availability systems, and who has a desire to solve complex technological challenges with a proactive approach to continuous improvement.
We use an interesting and mixed technology stack: Kubernetes, Terraform, CI/CD pipelines, Datadog, Prometheus, and cloud-native architectures.
In this position, you will use your expertise in building and scaling SRE operations, and will design, implement, and operate a world-class reliability strategy.
About Us
we are a key player the network security field, striving to provide the leading SASE platform in the market. Our innovative approach, merging cloud and on-device protection, redefines how businesses connect in the era of cloud and remote work.
Key Responsibilities
Develop and maintain our monitoring, alerting, and logging systems, ensuring high visibility into production environments.
Implement automation to improve system reliability, scalability, and efficiency.
Troubleshoot and resolve production incidents, leading root cause analyses and implementing permanent fixes.
Collaborate with software engineers and DevOps teams to enhance application performance and resilience.
Continuously improve operational processes, focusing on reducing toil and improving reliability.
Requirements:
3+ years of experience as an SRE, DevOps Engineer, or in a similar role.
Hands-on experience with monitoring and observability tools like Datadog, Prometheus, and Grafana.
Strong understanding of Linux systems, networking, and cloud-native architectures.
Experience with Kubernetes, Terraform, and CI/CD pipelines.
A problem solver, capable of finding creative solutions and getting things done.
Fluent with incident management, RCA processes, and operational best practices.
It would be great if you also have:
Experience in high-scale distributed systems.
Background in security and compliance for cloud infrastructure.
Familiarity with AWS (EKS, EC2, RDS, S3, networking configurations).
Proficiency in Python, Go, or Bash for automation and scripting.
Understanding of cost optimization and resource management in cloud environments.
Familiarity with machine learning or predictive analytics for proactive reliability management.
This position is open to all candidates.
 
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לפני 17 שעות
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a UI Platform Team Lead to join our Network Orchestration group. Our group is responsible for developing scalable, high-performance distributed systems that support complex network infrastructures.
As a Team Leader, you will drive the architecture, design, and development of core UI infrastructures and component libraries that support multiple development teams. You will lead a team of 4+ frontend engineers, define best practices, and ensure the scalability and maintainability of the UI architecture. This role requires a combination of technical expertise, leadership, and strategic vision.
Our group is growing, and you will play a key role in building and expanding the team. You'll have the opportunity to optimize and enhance key parts of our system, leveraging the latest tools and infrastructure to drive innovation and efficiency.
We embrace an agile mindset you should be comfortable with context switching, handling multiple priorities, and adapting quickly to changing requirements.
Responsibilitie
Lead & mentor a high-performing development team in building advanced, scalable software solutions.
Lead the development and maintenance of reusable UI components, design systems, and frontend tooling.
Architect and optimize UI frameworks to ensure high performance, scalability, and maintainability.
Collaborate closely with development teams to provide seamless integration across applications.
Work closely with QA to implement best practices for testing and automation, ensuring high software quality and reliability.
Coordinate with Product Managers to align development with business priorities and roadmap planning.
Engage with UI/UX Designers to ensure an intuitive and high-quality user experience.
Work alongside the Project Manager to track progress, mitigate risks, and ensure timely delivery of features.
Define and enforce best practices, coding standards, and architectural guidelines for frontend development.
Stay updated with industry trends and emerging technologies to drive innovation in UI infrastructures.
Ensure cross-browser compatibility for all UI components.
Identify bottlenecks and optimize the frontend build process for improved developer experience.
Work with CI/CD pipelines to automate testing, deployment, and monitoring of UI libraries.
Requirements:
Technical Expertise: At least 6+ years of hands-on experience in frontend development. Strong knowledge of JavaScript/TypeScript and React framework, along with state management solutions (Redux, MobX, etc.).
Leadership & Team Management: Minimum 3+ years of experience leading a development team of 4+ engineers, including hiring, mentoring, and guiding technical decisions.
Framework Proficiency: Strong expertise in React.
Microfrontend Architecture: Proven experience in Microfrontend concepts and their implementation.
Performance DOM Optimization & UI Performance:
Expertise in frontend performance tuning, lazy loading, tree shaking, and bundle size optimization.
Expertise in optimizing DOM rendering, minimizing reflows and repaints, and improving UI responsiveness
Testing: Experience with unit, UI component, and end-to-end testing using frameworks like Jest, React Testing Library, or Playwright. Proficiency in setting up automated visual regression testing, component-level testing, and continuous testing workflows in CI/CD pipelines.
Component-Driven Development: Hands-on experience with Storybook or other UI component documentation tools.
Security: Strong understanding of frontend security best practices (XSS prevention, CORS handling, OAuth, JWT) and secure UI component development.
Project Delivery: Proven ability to lead projects to production, prioritize tasks effectively, and deliver high-quality results within set timelines.
Adaptability & Resilience: Ability and willingness to work in a fast-paced, dynamic, and evolving environment, handling multiple priorities and challenges effectively.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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8351700
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7 ימים
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
We're looking for a Technical Operations Team Lead to join our platform group and drive execution across technical operations, infrastructure, and delivery processes. This role blends leadership, technical depth, and cross-functional collaboration and is perfect for someone who thrives in fast-paced, high-impact environments.
Youll lead a hybrid team (on-site and offshore), work with global stakeholders, and partner with our Program Managers to track delivery in Jira and bring structure to rapidly evolving workflows. This is a key role in helping us scale and operate more efficiently as we build the future of secure cloud connectivity.
About Us
we are a key player the network security field, striving to provide the leading SASE platform in the market. Our innovative approach, merging cloud and on-device protection, redefines how businesses connect in the era of cloud and remote work.
Key Responsibilities
Lead and mentor a cross-functional team (including offshore members)
Own execution planning, delivery tracking, and team velocity
Collaborate with Program Managers to define, track, and report work in Jira
Implement and optimize working procedures for technical teams
Manage Cloud IT systems and user lifecycle (e.g., Okta/Azure, Our SaaS access).
Oversee 3rd party service providers, procurement, and budgeting.
Design and implement automation (Python preferred), including AI-driven workflows.
Support R&D and QA teams with cloud infra, and internal developer's tools and Dev Environments.
Partner with Customer Success, Sales Engineering, and Field Ops.
Ensure compliance with internal security policies by working closely with the CISO and applying SecOps requirements across Cloud IT systems and operations.
Requirements:
2+ years of experience in technical operations, IT, infrastructure, or DevOps roles.
1+ years leading a team of engineers
Proven ability to define and roll out scalable processes in technical teams
Proficiency with Jira and cross-team collaboration with Program Managers
Strong scripting and automation skills (preferably in Python)
Familiarity with AI tools
Hands-on experience with identity and access management (Okta or similar)
Experience managing external vendors, purchasing, and cloud budgets
Cloud-native mindset; Experience working with cloud-native architectures, especially in AWS, and with containerized environments (Docker, Kubernetes).
Familiarity with security and compliance frameworks; experience working with SecOps and applying security requirements in collaboration with CISO
Experience working in enterprise environments and navigating cross-functional collaboration with multiple stakeholders and peer organizations
A strong communicator who can lead by example, align technical execution with product vision, and support a growing team.
It would be great if you also have:
B.Sc. in Computer Science, Software Engineering, or a related field.
field enablement exposure or FinOps experience
Knowledge of performance optimization, caching, and distributed system design.
Familiarity with authentication, authorization, and security best practices.
A passion for mentoring and building a high-performance, collaborative team culture.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8342642
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