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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
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.
Requirements:
Ideal candidates will have:
Experience: 5+ years in a dedicated FinOps or Cloud Cost Management role within a large-scale, multi-cloud environment (AWS & GCP preferred).
Data: Expert-level SQL and proficiency in Python for data manipulation. You should be comfortable moving beyond basic reports into data transformation and enrichment.
Visualization: Proven track record of building high-impact BI dashboards (e.g., Tableau, Looker, or Grafana) that tell a story, not just display numbers.
Cloud Architecture: Deep technical understanding of cloud services (Compute, Storage, Networking, and BigQuery/Snowflake) and how their architectural choices impact the bottom line.
Financial Literacy: Solid understanding of accounting principles.
Education: B.Sc. in Computer Science, Industrial Engineering, Data Analytics, or a related field.
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 Cloud FinOps Engineer to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless workers who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
Proactively identify and execute cost-saving opportunities through rightsizing, optimized scaling strategies, lifecycle management, and architectural improvements without impacting performance or velocity.
Collaborate with R&D and DevOps to evaluate the cost-impact of architectural decisions, ensuring "cost-by-design" is a core part of our infrastructure evolution.
Design and maintain granular visibility into cloud spend, transforming complex data into actionable insights that inform relevant teams and empower them to take ownership of their usage.
Take ownership of cost operations across AWS, Azure, GCP, and OCI, establishing consistent tagging policies, automated guardrails, and governance frameworks.
Manage and optimize our portfolio of RIs, Savings Plans, and Spot instances to maximize our cloud ROI.
Requirements:
3+ years of experience managing cloud costs in complex, large-scale environments with a proven track record of moving the needle on cloud spend.
A proactive, hands-on executor: You dont just report on costs; you actively identify overspend, propose technical solutions, and drive them to completion to deliver tangible savings.
Strong technical understanding of cloud-native architectures and experience in building or scaling efficient infrastructure.
Ability to analyze cloud usage economics to find the "sweet spot" between performance, scalability, and cost-efficiency.
Experience leading end-to-end cost optimization programs, from identifying inefficiencies to implementing company-wide governance.
Excellent communication skills and the ability to translate complex technical data into clear business insights for stakeholders at all levels.
B.Sc. in Computer Science, Software Engineering, or a related technical field.
Technical Stack & Tooling:
Deep, hands-on experience with Azure, AWS, GCP, OCI
Understanding of Kubernetes cost allocation and experience with tools to manage shared resource environments (Keda, Kubecost, etc.).
Proficiency with platforms like Umbrella, Azure Cost Management, or similar.
Experience with Terraform/Ansible/Python or implementing automated cost-governance and tagging policies.
Understanding of Kubernetes cost allocation and experience with tools to manage shared resource environments (Keda, Kubecost, etc.).
Proficiency with platforms like Umbrella, Cloud Native cost management tools, or similar.
This position is open to all candidates.
 
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13/05/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking an experienced Senior FinOps Engineer to join our growing FinOps organization. As part of our team, you'll play a crucial role in optimizing cloud spend, driving financial accountability, and implementing best practices across our technology infrastructure.
As a Senior FinOps Engineer, you'll bridge the gap between finance, technology, and business stakeholders to establish a culture of cost awareness and financial responsibility. You'll leverage your technical expertise and financial acumen to implement FinOps practices that align business value with cloud costs.
What We Offer
Career growth opportunities in a rapidly evolving field
Collaborative and innovative work environment
Opportunity to work with cutting-edge cloud technologies
Flexible work arrangements
Professional development support and certification reimbursement
Key Responsibilities
Lead the implementation and enhancement of FinOps practices across the organization
Design and implement cost allocation strategies, tagging policies, and showback/chargeback mechanisms
Develop and maintain cloud cost forecasting models and budgets
Identify cost optimization opportunities through detailed analysis of cloud resource usage
Create and maintain dashboards and reports to provide visibility into cloud spending
Collaborate with engineering teams to build cost-aware architectures and implement cost controls
Partner with finance teams to incorporate cloud costs into financial planning processes
Drive automation of FinOps processes where possible
Stay current with evolving cloud pricing models and optimization strategies
Educate and mentor teams on FinOps principles and cloud cost management.
Requirements:
5+ years of experience in cloud infrastructure engineering, with at least 3 years focused on cloud financial management/FinOps
Deep understanding of major cloud platforms (AWS, Azure, GCP) and their pricing models
Experience using FinOps tools
Strong skills in data analysis and visualization tools
Proficiency with infrastructure as code
Experience with cost allocation methodologies and chargeback models
Solid understanding of financial concepts as they apply to technology investments
Excellent communication skills with the ability to effectively communicate complex technical and financial concepts to diverse audiences
FinOps Foundation certification preferred (FinOps Certified Practitioner)
Technical Skills
Cloud Platforms: AWS, Azure, GCP (certification in at least one platform preferred)
Experience with AI/ML for FinOps (cost optimization, anomaly detection, forecasting)
Programming/Scripting: Python, Bash, PowerShell
Data analysis and visualization tools: PowerBI
Infrastructure as Code: Terraform, CloudFormation
Containerization and Orchestration: Docker, Kubernetes, ECS
CI/CD: GitHub Actions, Jenkins, GitLab CI
Database Systems: Experience with SQL and NoSQL databases.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
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 Platform Engineer, you will be tasked with leading the design and development of a unified, scalable Developer Platform, building secure APIs and infrastructure using modern DevEx and CI/CD practices, and collaborating across teams to drive innovation in a global, high-scale environment.
What will you do?
Primary responsibilities include:
Help create the Future: Dive deep into our current developer platform, identify pain points, and design innovative solutions to address them in an iterative way toward a shared vision. Participate in design and development of a new architecture that supports scalability, maintainability, and operational excellence.
Modernize the Stack: Collaborate with architects and teams to evaluate and implement the right tools, frameworks, and methodologies for building a robust, user-centric developer platform.
Hands-on Development: Write high-quality, production-ready code.
Mentor and Lead: Guide and mentor other engineers, contribute to their professional growth, share best practices and architectural insights, and foster a culture of engineering excellence. Your involvement increases the overall quality, whether you wrote it directly, reviewed it, or had a hand in designing it.
Collaborate Across Teams and Orgs: Partner with engineering, architects, product, design, quality, DevOps / Infra teams, and leadership to align on objectives, design, timelines, and execution strategies.
Our stack: Go, Python; Kubernetes, Docker, AWS, GCP, FedRAMP; GitHub Actions, ArgoCD; GitHub Enterprise; depending on the requirements of the service for communication, we use Kafka, REST API, GraphQL, gRPC, etc.; Postgres, MongoDB, Redis, ClickHouse; Prometheus/Thanos, Grafana.
Requirements:
Ideal candidates will have:
Expertise in Developer Platform / DevEx fundamentals and infrastructure platform services design
Proficiency in Golang, experience with Python is a plus
Deep proficiency in CI/CD pipelines and tooling (e.g., GitHub Actions, ArgoCD, Jenkins) in large-scale environments
Extensive experience with cloud platforms (AWS and/or GCP) and Kubernetes
Excellent problem-solving skills
Strong ownership and accountability, with proven experience driving large, impactful projects
Strong communication skills and ability to articulate technical concepts and influence engineering direction across teams, departments, and stakeholders in multiple time zones.
This position is open to all candidates.
 
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12/05/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
As a FinOps Engineer, you'll be responsible for managing and optimizing the financial aspects of our cloud computing operations, including monitoring and controlling AI-related costs. In this role, you will work collaboratively as part of a team, demonstrate initiative, think creatively, and drive innovative solutions. You'll work closely with the CFO and VP of R&D to ensure cost efficiency, budget adherence, and financial transparency across our cloud services.
In your day-to-day, you will:
Work directly with different external hosting providers to manage hosting costs
Manage and monitor cost visibility for multi-data center architecture in a large-scale, multi-cloud environment
Work with financial teams on production-related budgets, forecasts, and expense reports
Create financial models to calculate TCO of new projects
Create financial and usage dashboards, as well as frameworks for efficiency & costs
Partner with the development, support and devops teams to encourage financial responsibility
Stay updated on industry trends and best practices in cloud cost optimization and FinOps methodologies
At our company, we believe our best work happens together. Our work model is fully in person, with 5 days a week from our office. Flexibility remains a core value at our company and special requests are handled thoughtfully at the team level.
Requirements:
2+ years of experience as a FinOps engineer
Proficiency in SQL for data querying, analysis, and reporting An engineer with an eclectic knowledge of hosting-related areas like CDN services, Cloud infrastructure, networking architecture, and monitoring tools
Comprehensive understanding of how cloud services work from a financial standpoint, with a proven ability to leverage automation for accurate cost modeling and forecasting
Able to identify and automate cost optimization opportunities, with a strategic mindset for troubleshooting and resolving financial challenges
A can-do attitude, great social skills and a holistic approach to solving tasks, while working within a group of equally-brilliant people
Bachelors degree in Computer Science, Information Technology, or related field. Advanced degree or relevant certifications is an advantage.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
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 Staff Software Engineer - C++ Endpoint Security, Collection Engineering (Data Protection Team), you will be tasked with designing and implementing low-level C++ or Rust agent modules as a foundational member of our newly formed Data Protection unit. You will research and develop high-fidelity sensors and robust, scalable code to monitor and prevent sensitive data leakage across multiple operating systems. By building these mission-critical collection engines, you will play a key role in defining the technical architecture for our companys next generation of data-centric security.
What will you do?
Primary responsibilities include:
Lead, design and implement low-level agent modules (using C++ or Rust), capable of monitoring data access and movement with minimal performance overhead.
Research and evaluate technologies for building high-fidelity sensors that track data access.
Develop robust, scalable, and performant code that operates reliably across multiple operating systems and environments.
Collaborate closely with Core Agent, Backend, and Frontend teams to deliver a unified, user-facing, next-generation data protection product.
Requirements:
Ideal candidates will have:
7+ years of experience as a low-level software engineer, building complex systems in modern C++\C.
Hands-on experience with system-level development, debugging tools, and performance profiling.
Deep OS Expertise, with strong knowledge of operating system architecture and internals (Windows, Linux, and/or macOS).
A proven track record of shipping production-quality code to large-scale deployments, ensuring reliability across diverse environments and collaborating with multiple stakeholders.
Security Domain Expertise
Technical leadership experience
Exposure to a multi-stack environment, working across agent, backend, and frontend systems.
This position is open to all candidates.
 
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01/06/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for an outstanding Senior DevOps Engineer to join our revolutionary, large-scale mobile content discovery platform used by millions of users worldwide. In this role, you won't just keep the lights on-you will take a leading role in shaping our data infrastructure, setting architectural standards for AI/ML workloads, and bridging the gap between DevOps and Data Engineering.
Why youll love this team: We move fast, use cutting-edge technologies, and value absolute technical excellence over rigid bureaucracy. If you are passionate about solving complex, high-traffic infrastructure puzzles and want to see your work directly impact millions of daily users, this is the sandbox youve been looking for.
What you'll be doing
Design Data-Native Cloud Solutions: Design and implement scalable data and AI/ML infrastructure across multiple environments using Kubernetes, orchestration platforms, and IaC to power our AI, ML, and analytics ecosystem
Accelerate Data/ML Engineer Experience: Spearhead improvements to data pipeline deployment, monitoring tools, and self-service capabilities that empower data teams to deliver insights faster with higher reliability
Engineer Robust Data/ML Platforms: Build and optimize infrastructure that supports diverse data workloads from real-time streaming to batch processing, ensuring performance and cost-effectiveness for critical analytics systems
Drive DevOps Excellence: Collaborate with engineering leaders across backend and ML teams, champion modern infrastructure practices, and mentor team members to elevate how we build, deploy, and operate data systems at scale
Collaborate on high-level technical designs with ML and Backend engineers to build resilient systems.
Requirements:
5+ years of hands-on DevOps experience building, shipping, and operating production systems
Infrastructure as Code: design and implement infrastructure automation using tools such as Terraform, Pulumi, or CloudFormation (modular code, reusable patterns, pipeline integration)
Cloud platforms: deep experience with AWS, GCP, or Azure (core services, networking, IAM)
Kubernetes: strong end-to-end understanding of Kubernetes as a system (routing/networking, scaling, security, observability, upgrades), with proven experience integrating data-centric components (e.g., Kafka, RDS, BigQuery, Aerospike).
GitOps & CI/CD: practical experience implementing pipelines and advanced delivery using tools such as Argo CD / Argo Rollouts, GitHub Actions, or similar

Observability: metrics, logs, and traces; actionable alerting and SLOs using tools such as Prometheus, Grafana, ELK/EFK, OpenTelemetry, or similar
Scalability & Performance: Proven experience managing production environments characterized by high traffic volumes and large amounts of data, with a focus on maintaining system reliability and cost-efficiency at scale.
You might also have
Coding proficiency in at least one language (e.g., Python or TypeScript); able to build production-grade automation and tools.
Data Pipeline Orchestration: Demonstrated success building and optimizing data pipeline deployment using modern tools (Airflow, Temporal, Kubernetes operators) and implementing GitOps practices for data workloads
Data Engineer Experience Focus: Track record of creating and improving self-service platforms, deployment tools, and monitoring solutions that measurably enhance data engineering team productivity
Data Infrastructure Deep Knowledge: Extensive experience designing infrastructure for data-intensive workloads including streaming platforms (Kafka, Kinesis), data processing frameworks (Spark, Flink), storage solutions, and comprehensive observability systems.
This position is open to all candidates.
 
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01/06/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
we are seeking a Hands-on Architect to design, build, and evolve the core of next-generation AI cybersecurity platform.This is not an ivory-tower role; it is for a builder at heart. You will write code, build functional prototypes, and own critical services from inception to production. This role demands a unique blend of deep, code-level execution with a broad, system-wide architectural vision that spans our entire data, cloud, and AI stack.
Responsibilities:
Rapidly code and build functional proofs of concept (PoCs) and prototypes to explore and validate new architectures, data platforms, data processing frameworks, and GenAI capabilities.
Validate technical feasibility, scalability, and business impact through working software, not just diagrams or documents.
Partner closely with engineering, product and data science teams to translate emerging technologies into production-ready, scalable systems.
Lead architecture design reviews, proactively identify scalability and performance bottlenecks, and embed security principles into the design process from day one.
Serve as a technical leader and mentor, elevating the team's skills through pair programming, in-depth code reviews, and deep-dive sessions on system design and software craftsmanship.
Requirements:
7+ years in a senior technical leadership role (e.g., Principal Architect, Staff/Lead Engineer). Demonstrated experience leading architecture in fast-moving environments, with a strong track record as a hands-on builder delivering production systems.
Proven experience architecting and operating large-scale, distributed, and data-intensive systems, with the ability to reason across end-to-end system flows, dependencies, and trade-offs. Experience in SaaS or cybersecurity domains is a strong advantage.
Deep, hands-on experience with AWS, GCP, or Azure, and strong expertise in Kubernetes and containerized environments. Ability to design for scale while maintaining simplicity, efficiency, and cost awareness.
Strong background in modern data platforms, streaming architectures, and complex event processing, including systems that handle large-scale, real-time data workloads.
Experience designing and building multi-tenant SaaS platforms with strong isolation and scalability characteristics. Familiarity with Bring Your Own Cloud or similar deployment models in enterprise environments.
Hands-on experience integrating GenAI capabilities into production systems, including RAG pipelines, agentic workflows, or LLM-based integrations.
Solid understanding of secure system design, cloud security principles, and enterprise compliance frameworks, with the ability to incorporate security into architectural decisions.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
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 Software Engineer - C++ Endpoint Security, Collection Engineering (Data Protection Team), you will design and implement low-level C++ or Rust agent modules as a foundational member of our newly formed Data Protection unit. You will research and develop high-fidelity sensors and robust, scalable code to monitor and prevent sensitive data leakage across multiple operating systems. By building these mission-critical collection engines, you will play a key role in defining the technical architecture for our companys next generation of data-centric security.
What will you do?
Design and implement low-level agent modules (using C++ or Rust), capable of monitoring data access and movement with minimal performance overhead.
Research and evaluate technologies for building high-fidelity sensors that track data access.
Develop robust, scalable, and performant code that operates reliably across multiple operating systems and environments.
Collaborate closely with Core Agent, Backend, and Frontend teams to deliver a unified, user-facing, next-generation data protection product.
Requirements:
4+ years of experience as a low-level software engineer, building complex systems in modern C++\C.
Hands-on experience with system-level development, debugging tools, and performance profiling.
Deep OS Expertise, with strong knowledge of operating system architecture and internals (Windows, Linux, and/or macOS).
A proven track record of shipping production-quality code to large-scale deployments, ensuring reliability across diverse environments and collaborating with multiple stakeholders.
Itd be great if you have experience with / or Youd learn & gain on our team:
Security Domain Expertise
Technical leadership experience
Exposure to a multi-stack environment, working across agent, backend, and frontend systems.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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Location: Tel Aviv-Yafo
Job Type: Full Time
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 Engineering Manager - Windows Endpoint - Windows Endpoint, you will take end-to-end ownership of features from ideation to production, managing multiple teams within the Windows Agent Ecosystem.
We require a leader with a proven track record of success in building and developing high-performing managers and teams, managing operational risks, and driving architectural excellence while fostering a world-class engineering culture.
What Will You Do?
Primary responsibilities include:
You will have the chance to manage an organization of 15+ engineers and team leads across multiple teams working on the Windows Agent, solving the most complicated real-world problems.
You will continuously enrich your knowledge and experience with Windows OS internals and the EPP/EDR ecosystem.
You will be a core part of designing and developing the capabilities that will improve the product's stability and make the user experience smoother.
You will be directly accountable for production stability and operational integrity while mentoring a global managerial bench.
Your mandate is to ensure reliable, high-quality delivery against strategic goals, making decisive trade-offs that balance innovation, security, and long-term organizational health.
Requirements:
Ideal candidates will have:
Proven experience as a Group Lead or Senior Engineering Manager in the areas of C++ and Windows OS internals.
Proven success in coaching team leads and building a succession pipeline.
Deep knowledge of performance management and succession planning.
Data-driven decision-making and prioritizing approaches.
Proven experience with team building and advanced software methodologies.
Ability to lead a feature from planning to development and testing.
Excellent interpersonal skills and great communication skills.
Expertise in managing globally distributed teams across multiple time zones.
Previous experience with security-oriented development - Advantage.
Windows Kernel development experience - Advantage.
This position is open to all candidates.
 
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05/05/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
As a Site Reliability Engineer on the SASE Platform team, you will play a critical role in building and operating highly available, secure, and globally distributed services. Your mission is to ensure our cloud-native security and networking platform is reliable, scalable, and performant from day one, protecting the users, applications, and data for the world's largest enterprises as they adopt cloud, remote work, and AI.
Key Responsibilities
Proactively collaborate with development teams to embed reliability, scalability, and operability into services from the earliest design stages.
Design, review, and evolve cloud-native architectures to improve availability, performance, cost efficiency, and fault tolerance.
Build and operate automation for provisioning, deploying, and managing global infrastructure using Infrastructure as Code (IaC).
Improve CI/CD pipelines and release processes to enable safe, fast, and repeatable deployments.
Drive observability best practices, including metrics, logs, traces, and SLIs/SLOs to enable data-driven incident analysis.
Participate in on-call rotations, reducing mean time to resolution (MTTR) through automation and proactive reliability improvements.
Challenge existing processes by championing reliability, security, and operational maturity across the organization.
Requirements:
Your experience:
5+ years of experience working with Unix/Linux systems, including shell, tools, networking, and kernel concepts.
2+ years of hands-on experience with microservices architectures running on Kubernetes and container platforms.
Proven experience operating workloads in public cloud environments (e.g., AWS, GCP, Azure) at scale.
Proficiency in building automation and tools in at least one scripting or programming language (e.g., Python, Go, Java).
Strong experience with Infrastructure as Code (IaC) tools such as Terraform or Ansible.
Bachelors degree in Engineering, Computer Science, or a related technical field, or equivalent practical experience.
Preferred Qualifications
Deep expertise in designing and operating monitoring, alerting, and observability systems (e.g., Prometheus, Grafana, ELK Stack).
Advanced networking expertise, including TCP/IP, DNS, BGP, routing, and cloud networking concepts relevant to SASE architectures.
Prior experience operating or supporting SASE, SD-WAN, Zero Trust, or network security platforms.
Familiarity with using AI/LLM technologies to improve operational workflows (e.g., incident analysis, automation).
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8638178
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