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לפני 17 שעות
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
You'll own and evolve the infrastructure and reliability of our production platform - a distributed, data-heavy system running on AWS and Kubernetes. You'll work closely with engineering to keep our services fast, reliable, and observable as we scale, while continuously improving our automation, deployment, and operational processes.
This role is a fit for someone responsible and hands-on, who wants to contribute to the team effort, take ownership, and keep learning and expanding their capabilities.
What You'll Do
Design, build, and operate scalable, resilient infrastructure on AWS and Kubernetes.
Own reliability: define SLOs/SLIs, improve observability, and drive down toil through automation.
Manage and tune our core data and workflow systems - ClickHouse, PostgreSQL, Kafka, and Temporal - for performance and reliability at scale.
Build and maintain CI/CD and GitOps workflows using ArgoCD and GitHub.
Manage infrastructure as code with Terraform.
Lead incident response, run postmortems, and drive systemic improvements.
Establish and improve engineering and operational processes suited to a company operating at scale.
Partner with development teams to make the right reliability, cost, and scalability tradeoffs.
Requirements:
Strong hands-on experience as a DevOps and/or SRE engineer.
Deep experience with Kubernetes and AWS in production.
Solid experience with Temporal, Kafka, PostgreSQL, and ClickHouse.
Experience with Terraform (IaC) and GitOps tooling such as ArgoCD.
Familiarity with processes and practices for companies operating at scale.
A responsible, ownership-driven mindset with strong collaboration and communication skills.
Eagerness to learn, grow, and contribute to a shared team effort.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking an experienced DevOps Engineer to join our Engineering team and play a key role in building and operating our cloud-native platform. The ideal candidate will have hands-on experience managing production environments at scale, driving cloud transformation initiatives, and supporting the of enterprise systems from on-premises deployments to modern SaaS and cloud-native architectures. You will be responsible for designing, automating, and maintaining scalable infrastructure, CI/CD pipelines, and deployment processes that support both our core products and emerging AI-driven capabilities. Working closely with Engineering, QA, Product, and AI teams, you will help ensure the reliability, security, and performance of our services while driving operational excellence and continuous improvement across our technology stack.
Responsibilities:
Design, implement, and maintain CI/CD pipelines.
Manage and optimize cloud infrastructure across AWS, Azure, and/or GCP.
Develop and maintain Infrastructure as Code using Terraform.
Manage Kubernetes-based environments and GitOps deployment workflows using Argo CD and
Kustomize.
Lead and support the migration of enterprise applications and infrastructure from on-premises
environments to scalable SaaS and cloud-native architectures.
Establish, maintain, and continuously improve production environments, ensuring high availability,
security, scalability, and operational excellence.
Demonstrate strong production ownership, including incident management, root cause analysis,
capacity planning, and performance optimization.
Collaborate with Engineering, QA, Product, and AI team
Support the deployment, operation, and monitoring of AI and Generative AI services.
Build and maintain monitoring, logging, and alerting systems.
Troubleshoot and resolve infrastructure, deployment, and production issues.
Requirements:
5+ years of experience as a DevOps Engineer or similar
infrastructure-focused role.
Hands-on experience with Azure, Aws, or GCP.
Experience with CI/CD tools such as Jenkins, GitHub Actions, or similar platforms.
Strong knowledge of Terraform and Infrastructure as Code practices.
Experience with Docker, Kubernetes, Argo CD, and Kustomize.
Experience designing and operating production-grade Kubernetes saas platforms or enterprise environments.
Experience with monitoring and observability tools such as Prometheus, Grafana, and ELK.
Strong troubleshooting, analytical, and communication skills.
B.Sc. in Computer Science, Computer Engineering, Information Systems, or a related field (or equivalent practical experience).
This position is open to all candidates.
 
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1 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
As a Platform DevOps Engineer for us, you will lead DevOps for our SaaS product. You will serve as the products primary DevOps owner, with end-to-end responsibility for infrastructure, Production availability, reliability, and development and deployment workflows. The role is designed to establish a scalable DevOps capability as the product and organization grow.

Key Responsibilities
Own the end-to-end cloud-native infrastructure for us, including Development, Test, and Production environments.
Design and build scalable, secure, and reliable infrastructure for an active SaaS product.
Lead CI/CD, deployment, and release-management processes using GitHub Actions, GitOps, and Argo CD.
Manage and scale Kubernetes, Docker, Helm, and public-cloud infrastructure using Terraform.
Establish and lead observability, monitoring, alerting, and incident-response capabilities.
Participate in on-call rotations, resolve Production incidents, lead postmortems, and drive preventive improvements.
Partner with R&D teams to improve product performance, scalability, reliability, and security.
Develop automation and scripting tools, and promote AI-powered code assistance and development practices to improve operational speed and quality.
Build operational processes, infrastructure standards, and documentation that support the future growth of the DevOps capability.
Requirements:
Requirements
At least 3 years of hands-on experience in DevOps or Platform Engineering roles.
Proven experience in a SaaS company, including ownership of Production systems.
Experience as a sole DevOps engineer, technical lead, or in a role with broad ownership of product infrastructure.
Hands-on experience building and maintaining cloud-native infrastructure in a public cloud environment.
Significant experience with Kubernetes, Docker, Helm, and Terraform.
Experience with CI/CD, GitHub Actions, GitOps, and Argo CD.
Experience with Prometheus and observability, monitoring, and alerting systems.
Experience with on-call, incident response, incident analysis, and improving Production-system reliability.
Strong scripting skills.
Demonstrated ability to provide technical leadership, operate independently amid ambiguity, and drive cross-functional initiatives.
High proficiency in Hebrew and English.
A relevant degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.

Preferred Qualifications
Experience with Azure.
Experience building and scaling Production infrastructure from the ground up for a SaaS product.
Experience with AI products, LLM workloads, or Voice / Conversational AI systems.
Experience with cloud security, IAM, secrets management, and infrastructure hardening.
Experience with cloud cost optimization and efficient resource management.
Experience managing or mentoring DevOps / Platform Engineering professionals.
Experience using AI-powered code assistance or development tools.
This position is open to all candidates.
 
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3 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We're hiring an experienced DevOps Engineer to join our engineering team. This role suits someone who has already spent real time operating cloud-native infrastructure at scale - not someone looking to break into the field. You'll bring a GitOps mindset, hands-on Kubernetes depth, and the independence to research and learn new tools quickly in a fast-moving, large-scale environment.
Design, operate, and troubleshoot Kubernetes clusters (EKS/AKS) at scale
Manage application delivery and infrastructure using GitOps tools (ArgoCD/Flux)
Build and maintain Helm charts and Kustomize overlays for multi-environment deployments
Provision and manage cloud infrastructure using Crossplane
Own and optimize CI/CD pipelines (GitHub Actions, GitLab CI) for build, test, and deployment workflows
Maintain and extend observability stacks, including Prometheus, Grafana, alerting rules, and dashboards
Write automation scripts and tooling in Python, Go, or Bash to streamline operations
Develop internal developer portals, AI agents, and other engineering productivity tools
Support AWS infrastructure across multiple accounts and regions, including networking, IAM, compute, and storage services
Participate in on-call rotations, troubleshoot production incidents, and drive root-cause analysis
Collaborate with Platform, Security, and Application Engineering teams on infrastructure design and reliability improvements.
Requirements:
4+ years of experience in DevOps, Platform Engineering, or a related role
Experience with Kubernetes and Helm in production environments
Experience with Crossplane and/or Terraform for Infrastructure as Code (IaC)
Proficiency in AWS
Experience with GitOps tools such as ArgoCD or Flux
Ability to script in Python, Go, or Bash for automation and tooling
Experience with Prometheus and Grafana for monitoring and alerting
Experience building and maintaining CI/CD pipelines (GitHub Actions, GitLab CI)
Strong self-learning ability, including independently researching unfamiliar technologies, reading documentation, and applying findings without hand-holding
Strong troubleshooting skills across networking, compute, and distributed systems
Nice to Have
Proficiency in Go, or Python beyond scripting
Experience with service mesh technologies (Istio or similar)
Experience working in multi-cloud environments.
This position is open to all candidates.
 
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08/09/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking a highly skilled DevOps / Platform Engineer to join our R&D team. In this role, you will be responsible for designing, operating, and scaling our cloud infrastructure while supporting both engineering and machine learning initiatives.

You will own our AWS environment end-to-end - from infrastructure architecture and Kubernetes operations to MLOps enablement, security hardening, and cost optimization. This role goes beyond traditional DevOps and includes responsibilities across IT operations support, multi-account AWS management, DevSecOps practices, DevFinOps ownership, and machine learning infrastructure.

You will play a critical role in ensuring our systems are secure, scalable, observable, and cost-efficient, while enabling fast and reliable software and model delivery.

Responsibilities
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

Monitor and optimize AWS resource utilization and costs
Implement cost visibility and reporting practices
IT & Operational Support

Support internal IT-related infrastructure tasks
Continuously improve operational processes and automation
Requirements:
~5 years of experience working in a DevOps or Platform Engineering role.
BSc degree in Computer Science, Engineering, or equivalent (required).
Strong hands-on experience operating in an AWS environment.
Solid understanding of networking fundamentals, including: VPC design, subnets, routing tables, Load balancers, NAT/Internet gateways.
Experience maintaining Kubernetes clusters at scale, including managing and deploying Helm charts.
Strong background in observability and monitoring using: Prometheus, Grafana, and Loki and CloudWatch.
Experience with GitOps workflows and continuous delivery using ArgoCD.
Proficiency with Infrastructure as Code (Terraform / Cloudformation), preferably using AWS CDK (Python and/or TypeScript).
Core understanding of MLOps principles, including model deployment, monitoring, versioning, and lifecycle management.
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 DevOps Engineer with deep AWS expertise and strong hands-on experience with Kubernetes, GitOps, and Infrastructure as Code.
In this role, you will design, automate, and scale secure, highly available infrastructure and CI/CD pipelines supporting flagship product. Beyond hands-on engineering, you will play a key role in shaping platform architecture, driving DevOps best practices, mentoring engineers, and continuously improving the reliability, scalability, and efficiency of our production environments.
Responsibilities:
Architect and manage secure, scalable, and highly available AWS environments, including multi-account and multi-region architectures.
Design and implement GitOps-driven CI/CD processes using ArgoCD, Argo Workflows, GitHub Actions, and related tooling.
Lead Infrastructure as Code (IaC) practices using Terraform and additional technologies such as Pulumi and Crossplane.
Build, operate, and maintain production-grade Kubernetes (EKS) environments, including Helm-based deployments and cluster lifecycle management.
Automate infrastructure provisioning, application deployment, and operational workflows across development, staging, and production environments.
Drive DevSecOps practices, including security scanning, secrets management, and compliance automation.
Establish and continuously improve monitoring, logging, and observability using tools such as Datadog, Prometheus, Grafana, and OpenTelemetry.
Partner closely with development teams to enable seamless application integration and rapid, reliable software delivery.
Optimize infrastructure for scalability, resilience, performance, and cost efficiency.
Mentor engineers, promote DevOps best practices across teams, and contribute to platform and architecture decisions.
Participate in and continuously improve the on-call rotation supporting mission-critical production systems.
Requirements:
5+ years of experience as a DevOps Engineer in complex production environments.
3+ years of hands-on cloud experience, preferably with AWS, with strong knowledge of services such as EKS, EC2, S3, RDS, ElastiCache, SQS, VPC, and Route 53.
Proven experience designing secure, scalable, and highly available cloud architectures, including multi-account environments.
3+ years of hands-on Kubernetes experience, including Helm, operators, and production-grade cluster management.
Strong experience with CI/CD and GitOps practices using ArgoCD and/or GitHub Actions. Experience with Argo Workflows is a strong advantage.
3+ years of hands-on experience with Terraform.
Strong scripting and automation skills using Python and/or Bash.
Experience executing infrastructure and DevOps projects end-to-end in enterprise-scale environments.
Extensive experience using AI-powered development and engineering tools such as Claude Code, Codex, Cursor, or similar tools to improve productivity, automation, troubleshooting, and software delivery.
Excellent problem-solving, communication, and collaboration skills.
Strong ownership, hands-on approach, and ability to operate independently.
Passion for continuous learning, innovation, knowledge sharing, and mentoring others.
This position is open to all candidates.
 
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02/09/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Tech is at the center of everything we do at our company and we're looking for people who are builders at their core. From developers to visionaries and everything in between, we want minds who aren't just interested in putting the pieces together but who can find new ways to innovate. Solid communication, creative problem solving and business understanding are all prerequisites. So, if you're tech savvy, inquisitive, and ready to take the road less traveled, the company Technology team might be right for you.
We're looking for a Senior DevOps Engineer with a strong security orientation to join our company's DevOps team.
our company's platform runs at significant scale, and our DevOps team sits at the core of keeping it fast, reliable, and secure. As we grow, so does the scope of what we own - we need an engineer who can step in as a strong pillar of our company's production ecosystem.
This is a hands-on role for someone who takes security seriously, moves fast, and knows how to get things done in a complex, high-scale environment.
our company's Technology Stack:
AWS, GCP, CLoudFlare ,Kubernetes, Terragrunt, Ansible, Jenkins, ArgoCD, Argo Workflows, Kong & Nginx, HashiCorp Vault, Kafka, RabbitMQ, Mongodb, Aurora Postgresql & Mysql, Prometheus, Grafana, VictoriaMetrics
Programming languages: Python, NodeJS, Go, Kotlin
What am I going to do?
Full Ownership: Drive infrastructure initiatives through their entire lifecycle, taking accountability from initial design to delivery and long-term operations.
Kubernetes Orchestration: Architect, implement, and maintain production-grade Kubernetes clusters, ensuring they remain scalable and resilient under high-scale demand.
Cloud Architecture: Design and manage robust AWS environments, including VPC, IAM, and EKS, to support a highly available platform architecture.
Infrastructure as Code: Utilize Terraform to build and evolve our environment, applying configuration management principles to all IaC workflows.
CI/CD Excellence: Support and improve our deployment pipelines using Jenkins and GitHub Actions to maintain a fast development velocity.
Observability: Implement comprehensive monitoring solutions with Prometheus and Grafana to ensure deep visibility into platform health.
Operational Resilience: Join the DevOps on-call rotation, taking responsibility for mitigating production issues and maintaining site reliability.
Tooling & Innovation: Continuously evaluate and adopt tools - security and otherwise - that raise the bar on engineering efficiency and security posture at our company.
Requirements:
6+ years of hands-on DevOps / Platform Engineering experience in large-scale production environments on a public cloud (AWS preferred).
Proven leadership mindset - able to own projects end to end and be accountable for outcomes.
Strong, production-grade Kubernetes experience across design, deployment, scaling, and troubleshooting.
Solid AWS experience with VPC, IAM, EC2, EKS, Load Balancers, and DNS.
Experience designing and operating highly available, scalable infrastructure systems.
Experience with managed and distributed databases (AWS Aurora, RDS, MongoDB, Redis).
Hands-on experience with Infrastructure as Code and configuration management (Terraform required; Terragrunt and Ansible a plus).
Experience with Docker and containerized workloads.
2+ years building and maintaining CI/CD pipelines (Jenkins, GitHub Actions)
Experience with monitoring and observability tools (Prometheus, Grafana).
Experience with GenAI platforms (AWS Bedrock, Vertex AI, OpenAI).
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Required DevOps Engineer
About the role:
Our DevOps team operates the infrastructure that powers our AI and Computer Vision platform across construction sites in 15+ countries. From data pipelines and ML workloads to backend services - you'll work with a diverse, modern, Kubernetes-based stack and have real influence on how we build, deploy, and operate.
What you'll do:
Own Multi-Cloud Infrastructure: Work alongside the team to design, scale, and operate our high-scale, multi-region production infrastructure across AWS and GCP, powering construction sites globally.
Drive Kubernetes at Scale: Manage and evolve our Kubernetes platform on EKS and leveraging GitOps practices with ArgoCD and Helm to enable safe, fast, and reliable deployments.
Build Robust CI/CD: Design and maintain CI/CD pipelines that empower dozens of engineers to ship confidently - with automation, testing, and progressive delivery built in.
Tackle Diverse Infrastructure Challenges: Work hands-on with a wide variety of workloads - from heavy data processing and Computer Vision pipelines to backend services and ML inference - each with unique scaling, performance, and reliability requirements.
Ensure Reliability & Observability: Build and maintain world-class observability (metrics, logs, tracing, alerting) so that issues are caught early and resolved fast. Performance, reliability, and scalability are at the core of what you do.
Security & Cost: Partner with the team to strengthen our security posture, identity and access management, compliance, and cloud cost optimization across both clouds.
Ownership from 0 to 1: You will have real influence over our architecture and tooling. We want engineers who care about shaping what we build and how we build it, ensuring performance, security, and observability are baked in from day one.
Requirements:
A seasoned DevOps / Infrastructure engineer (5+ years) with strong hands-on experience in production cloud environments.
Proven expertise operating large-scale, distributed systems - with deep understanding of Kubernetes, networking, and cloud-native architecture.
Strong experience with multi-cloud environments (AWS and/or GCP), Infrastructure-as-Code (Terraform), and GitOps workflows (ArgoCD, Flux, or similar).
Hands-on experience with CI/CD systems (Jenkins, GitHub Actions, etc.).
Solid scripting and automation skills (Python, Bash, or Go).
Proven track record of being a collaborative team player who partners closely with developers, ML engineers, and cross-functional stakeholders across the organization.
Experience with observability stacks (Prometheus, Grafana, OpenTelemetry, Logz.io, or similar).
Experience with databases (relational and/or NoSQL) - including operational aspects like backups, migrations, and performance tuning.
AI-Native Engineering: You are an AI-native engineer who leverages LLMs and agentic tools (like Cursor, Copilot, or Claude) not just for command completion, but as a core operational partner - automating diagnostics, runbooks, and infrastructure workflows so you can focus on the critical things.
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 an independent Senior DevOps Engineer who thrives in a fast-paced environment. You will join our centralized DevOps team, serving as a pillar of reliability and innovation for the entire engineering organization.

This is a 50/50 "Build vs. Run" role. Splitting your time between building modern automation and improving our developer experience and operational excellence, ensuring our production environments are rock-solid, secure, and highly available while managing the live environment from server infrastructure all the way to the application.

Tasks you will take part in:
Design and implement next-generation CI/CD automation flows to streamline the path from "Code" to "Production."
Lead the evolution of our Infrastructure-as-Code (Terraform) to make our systems more modular and self-service for developers.
Collaborate with backend teams to architect scalable microservices and optimize datastore performance (RDS, MongoDB).
Embrace AI-powered development tools (Cursor, Claude Code) to automate toil and accelerate infrastructure delivery.
Full ownership of our AWS accounts and multi-cluster Kubernetes environments.
Manage and fine-tune live production environments, ensuring 99.9% uptime for our mission-critical fintech services.
Drive our Observability strategy (Datadog/Grafana) to proactively catch issues before they impact our customers.
Participate in a weekly on-call rotation, serving as the first line of defense for platform reliability.
is used for creating requisitions 'from scratch'
Requirements:
Requirements:
5+ years of experience managing high-scale production systems.
Mastery of AWS: Deep knowledge of AWS services, security best practices, and account management.
Orchestration & Containers: Expert-level experience with Kubernetes (EKS) and Docker.
Automation-First Mindset: Proficiency in Terraform and at least one high-level language (Python, Go, or Bash).
Database Ops: Solid understanding of the DevOps aspects of MySQL/RDS and MongoDB (scaling, backups, performance tuning).
SRE Discipline: Strong experience with monitoring and logging stacks like Datadog, Grafana, or Prometheus.
Team Player: Strong communication skills and a "can-do" attitude-you enjoy solving problems as part of a collaborative squad.
Experience with AI tools and a strong interest in continuously exploring and applying them in everyday work are highly valued.

Advantages:
Security Knowledge: Experience with FW, WAF, IPS/IDS, and SELinux.
Data Infrastructure: Familiarity with Data tools like Kafka, Spark, Snowflake or Data Lakes.
Multi-Cloud: Familiarity with hybrid or multi-cloud architectures.
This position is open to all candidates.
 
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8831065
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v נשלח
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מודים לך שלקחת חלק בשיפור התוכן שלנו :)
7 ימים
חברה חסויה
Location: Tel Aviv-Yafo and Ra'anana
Job Type: Full Time
As a Senior DevOps Engineer, youll help turn agentic AI capabilities for diagnosing and troubleshooting network and GPU infrastructure into secure, scalable, production-ready services. This role stands out through its end-to-end ownership across cloud and customer-managed environments, close partnership with software and AI engineers, and direct influence on the reliability of NVIDIAs AI infrastructure.


What You'll Be Doing:
Own the DevOps, infrastructure, security, release, and reliability lifecycle - from development environments and CI/CD through deployment, production readiness, and sustained operations.
Build and operate Kubernetes environments and Helm-based deployments for a Python, FastAPI, Node.js, and React microservices platform across SaaS and on-premises footprints.
Engineer GitLab CI/CD pipelines with automated testing, container builds, vulnerability scanning, and versioned image and Helm chart publication through JFrog Artifactory.
Automate infrastructure provisioning, configuration, upgrades, and routine operational workflows to accelerate delivery and improve engineering productivity.
Operate PostgreSQL, Temporal workflow services, and S3-compatible object storage with disciplined capacity planning, backups, recovery testing, and safe migrations.
Strengthen release reliability through deployment validation, reduced-downtime strategies, persistent-state protection, and recovery plans for active workflows.
Deliver actionable observability and security using OpenTelemetry, Datadog/Grafana, Langfuse, secrets management, identity integration, TLS, Kubernetes RBAC, network policies, and container hardening.
Partner with software and AI engineers to troubleshoot distributed systems, investigate incidents, define reliability targets, and improve platform performance, resource efficiency, and customer outcomes.
Requirements:
What We Need to See:
Bachelors degree in Computer Science, Software Engineering, or a related field, or equivalent experience.
5+ years of experience in DevOps, site reliability engineering, or platform engineering supporting distributed applications and microservices.
Strong hands-on experience with Kubernetes, Docker, and Helm, including networking, storage, workload scheduling, scaling, and troubleshooting.
Strong Linux administration skills and proficiency in Python and Bash for automation, plus experience with infrastructure as code and configuration tooling such as Terraform and Ansible.
Experience building and maintaining CI/CD pipelines, including runners, container registries, artifact management, automated quality gates, and secure release practices.
Practical experience operating PostgreSQL or comparable relational databases, including SQL, migrations, backup and restore, and performance troubleshooting.
Strong networking and observability fundamentals across TCP/IP, DNS, HTTP, TLS, load balancing, ingress, metrics, logs, traces, dashboards, and actionable alerting.
Sound understanding of secure infrastructure operations and incident response, with demonstrated ownership, cross-functional collaboration, and prioritization in an evolving environment.


Ways To Stand Out From the Crowd:
Experience operating AI applications, agent platforms, or LLM services, including monitoring latency, failures, token usage, and cost.
Familiarity with Temporal, LangGraph, Model Context Protocol (MCP), Langfuse, ClickHouse, Redis/Valkey, or S3-compatible storage.
Deep experience with OpenTelemetry instrumentation and collectors, Datadog APM, or Prometheus/Grafana.
Experience with self-hosted Kubernetes, OpenShift, Kubernetes operators, CloudNativePG, or GPU clusters and AI data centers.
Experience building reproducible AMD64 and ARM64 container images, optimizing BuildKit pipelines, and securing the software supply chain.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8837920
סגור
שירות זה פתוח ללקוחות VIP בלבד
סגור
דיווח על תוכן לא הולם או מפלה
מה השם שלך?
תיאור
שליחה
סגור
v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
31/08/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Zipher is building the Autonomous Execution Layer for cloud data and AI workloads. Backed by $50M in funding , we dynamically orchestrate clusters, predict bottlenecks, and auto-heal infrastructure in real time — with zero human intervention . Our platform runs in production at global enterprise customers, including Fortune 500 companies , delivering mission-critical resilience and sub-second optimization We are looking for a DevOps Engineer to build and own the platform our autonomous execution engine runs on. You will own how Zipher ships, scales, and stays up — the delivery pipelines, the Kubernetes infrastructure, and the reliability of systems enterprise customers depend on.
What You’ll Do
* Architect and own GitOps-based delivery — ArgoCD, Helm, Terraform, GitHub Actions — so the engine ships to production safely, many times a day
* Build and operate the Kubernetes platform , including on-demand environments spun up per pull request and torn down automatically
* Design deployment safety into the platform: canary analysis, blue/green rollouts, automated rollback, and an observability stack (Prometheus, Grafana, OpenTelemetry) that surfaces failure first
* Partner closely with backend and data engineers to make production infrastructure secure, reproducible, and cost-aware across AWS accounts and enterprise deployments
* Drive reliability end to end: define SLOs , own incident response, and raise the operational bar for mission-critical services
What We Offer
* A chance to build the core execution engine for a new category of autonomous data platform High ownership from day one : real architectural influence, direct exposure to founders, and responsibility for mission-critical systems
* Technical, high-velocity team that values curiosity, speed, and engineering craftsmanship Top-of-market compensation and meaningful equity Ready to own the platform that lets an autonomous execution engine run in production? Hit Apply.
Requirements:
What You’ll Bring 6+ years in DevOps, Platform, or Infrastructure Engineering , including ownership of production environments for a real product at scale
* Deep hands-on experience with Kubernetes, Helm, and Terraform , with GitOps (ArgoCD or equivalent) as your default way to ship
* Strong production experience on AWS — EKS, IAM, VPC networking, and managed services such as Lambda, S3, DynamoDB, or Kinesis — plus scripting in Python, Go, or Bash
* Real depth in observability and operations : metrics, tracing, log aggregation, alerting, and SLOs you defined and defended
* A high-agency, engineering-first mindset : you enjoy ambiguous, high-leverage problems and take responsibility for reliability, performance, and security
Nice to Have
* Experience building ephemeral environments with Crossplane, Terraform, or a home-grown control plane
* Experience operating data and streaming infrastructure at scale , such as Kafka, Spark, EMR, MongoDB Atlas, or Snowflake
* Familiarity with security and compliance in a high-growth production environment: SOC 2, SSO/MFA, secret scanning, IaC policy enforcement, and cloud cost optimization
* Experience in an elite IDF technology unit or another high-performance engineering environment
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8804051
סגור
שירות זה פתוח ללקוחות VIP בלבד