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21/08/2026
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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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12/10/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Tech is at the center of everything we do 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 Technology team might be right for you. We're looking for a Senior DevOps Engineer with a strong security orientation to join our DevOps team. our 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 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 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.
Equal opportunities:
We're not about checklists. If you don't meet 100% of the requirements for this role but still feel passionate about the position and think you have the right skills and qualifications to excel at it, we want to hear from you. We prioritize diversity. We celebrate difference and embed it into every aspect of our workplace and product, as well as our community. We are proud and committed to providing equal opportunity employment to all individuals regardless of race, color, religion, sex, sexual orientation, citizenship, national origin, disability, Veteran status, or any other characteristic protected by law. In addition, we will provide accommodation to individuals with disabilities or a special need.
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
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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04/10/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
At our company Software Technologies, we secure the world - and now we're securing the AI revolution. We're building a Workforce AI Security Platform: a cloud-native, multi-tenant SaaS platform that governs, protects, and enables safe AI adoption across global enterprises. This is a greenfield opportunity to help architect the infrastructure backbone of a platform that will define how organizations adopt AI at work securely.
We're looking for a Senior DevOps Engineer who owns infrastructure end-to-end, ships with confidence, and raises the reliability bar without being asked. You will work closely with backend, full-stack, and security teams, as well as DevOps teams across other our company organizations, to build a highly available, reliable, and secure production environment. If you get energized by building systems that scale, pipelines that teams love, and platforms that never sleep - this role is for you.
Key Responsibilities
Own and evolve our cloud infrastructure across multi-region production environments, end-to-end.
Lead our GitOps deployment model - designing and maintaining declarative, automated deployment workflows with zero manual gates.
Build, maintain, and optimize CI/CD pipelines with a strong focus on developer experience, reliability, and speed.
Initiate, implement, and champion an AI-first DevOps & SRE ecosystem - identifying opportunities, building AI agents and intelligent automation, and driving their adoption across engineering operations.
Develop automation frameworks for provisioning, scaling, observability, and incident response, leveraging AI-powered tooling and agentic workflows to reduce toil.
Operate and improve our observability platform: metrics, logs, alerting, dashboards, SLOs/SLIs, and on-call tooling.
Champion zero-trust secrets management and credential-less authentication patterns across the stack.
Partner with architects and engineering leadership on cloud cost optimization, availability, and performance.
Build internal tooling and automation that multiplies engineering velocity across the organization.
דרישות:
5+ years of hands-on DevOps experience in a SaaS product environment - Must.
Demonstrated initiative in applying AI to engineering operations - designing and building AI agents, agentic workflows, LLM-powered automation, or Model Context Protocol (MCP) integrations that reduced operational toil and improved production reliability, quality, or velocity - Must.
Strong scripting and programming skills - Python and Bash for automation, tooling, and AI agent development; Go is a plus.
Strong motivation to continuously learn and adopt emerging technologies, and to share that knowledge across the team.
Deep, hands-on AWS expertise; multi-cloud (AWS, GCP, Azure) experience is a strong plus - Must.
Strong understanding of containers and orchestration - Docker, Kubernetes, including workloads, networking, service mesh (Istio), Helm/Kustomize, and autoscaling (KEDA, HPA, VPA).
Strong experience with:
Infrastructure-as-Code - Terraform, Crossplane, and/or cloud-native declarative tooling.
GitOps principles and tooling (ArgoCD or equivalent).
CI/CD platforms - building reusable, scalable, security-hardened pipeline templates (GitHub Actions or equivalent).
Secrets management - dynamic injection, IRSA/Workload Identity, avoiding long-lived credentials.
Experience embedding security into CI/CD: vulnerability scanning, SBOM generation, and supply chain security (Trivy, Grype, Syft, JFrog Xray).
Solid observability knowledge - OpenTelemetry, Prometheus, Grafana, Datadog, ELK/OpenSearch, distributed tracing.
Hands-on experience with AI/ML workloads or LLMOps infrastructure - a significant advantage.
Cost-awareness (FinOps) - treating cloud spend as a core engineering metric.
Clear communication skills - able to align engineers, security teams, and leadership around infrastructure decisions.
A strong sense of ownership - proactively identifying gaps and driving improvemen המשרה מיועדת לנשים ולגברים כאחד.
 
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הגשת מועמדותהגש מועמדות
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30/09/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
our company's platform runs inside the security stacks of enterprise customers, processing live detection and telemetry data from SIEM, EDR, and SOAR systems at real scale. Until now, infrastructure has been built and carried by the founding engineering team alongside everything else. You will be the first dedicated owner of it. That means designing our company's cloud foundation across GCP and AWS, building the deployment, scaling, and observability layers from the ground up, and setting the standards the rest of engineering builds on. It also means holding a bar that most startups can defer and our company cannot: we sell to security teams who audit their vendors seriously, so how we run our own infrastructure is part of how we win. This is a hands-on senior role with real architectural authority, and as engineering grows you become the person others learn cloud and infrastructure from.
What you'll be doing
Multi-cloud architecture: Own the design and implementation of our company's multi-cloud architecture across GCP and AWS, including the cross-cloud standards, boundaries, and tradeoffs that keep two providers from becoming twice the complexity.
Infrastructure as code: Build and maintain the entire environment in Terraform, so infrastructure is reviewable, reproducible, and scales without a person in the loop.
Deployment pipelines from scratch: Create the CI/CD foundation that lets a small team ship quickly and safely, with the testing, gating, and rollback paths that make fast releases boring rather than risky.
Kubernetes at data scale: Run and scale the Kubernetes and containerized workloads behind our company's security data processing, where volume, latency, and cost pressure all show up at once.
Security of our own stack: Own identity, access, secrets, network boundaries, and infrastructure hardening to a standard that holds up under customer security review.
Reliability and visibility: Build the logging, monitoring, and alerting layer that tells us something is wrong before a customer does, and make on-call sustainable as the system grows.
Technical direction: Partner directly with the founding engineering team on architectural decisions, and raise the infrastructure and cloud fluency of every engineer who joins after you.
Requirements:
Senior infrastructure depth: 7+ years as a DevOps or Site Reliability Engineer, with production systems you built and carried, not only inherited.
Multi-cloud experience: Hands-on work with core services across both GCP (GCE, GKE, Cloud Storage, VPC) and AWS (EC2, EKS, S3, RDS), and clear judgment on when running in two clouds is worth the cost.
Kubernetes and containers: Strong production experience with Docker and Kubernetes, including scaling, resource management, and debugging clusters under real load.
Infrastructure as code: Proven Terraform experience (or Pulumi) in complex, multi-provider environments, with a preference for codified over manual.
Pipelines and scripting: Built CI/CD from zero with GitHub Actions, GitLab CI, or Jenkins, backed by strong Python or Bash.
Security instincts: A DevSecOps mindset and real exposure to security best practices. Background in a cybersecurity or otherwise security-sensitive environment is a strong advantage.
0-to-1 ownership: Comfortable being the first and only person in a domain, making decisions without an existing playbook, and staying close to the work while setting direction for others.
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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06/10/2026
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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הגשת מועמדותהגש מועמדות
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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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27/09/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Tech is at the center of everything we do at Fiverr 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 Fiverr Technology team might be right for you. Fiverr's Engineering team is expanding its DevOps capabilities to manage our rapidly growing cloud infrastructure. We're looking for a mid-level DevOps Engineer to join this high-velocity environment, taking ownership of cloud assets, contributing to production stability, and driving key projects. You'll be instrumental in strengthening our team and supporting our continued innovation.

What am I going to do?:

* Independently deploy and maintain robust cloud infrastructure across AWS, GCP, and CloudFlare, leveraging Kubernetes, Terragrunt, and Ansible.
* Contribute to an on-call rotation, ensuring the stability of critical production services including Kafka, RabbitMQ, and various databases, with a focus on proactive incident resolution.
* Lead small to mid-sized projects from conception through completion, utilizing your expertise in CI/CD pipelines (Jenkins, ArgoCD, Argo Workflows) and scripting languages like Python, NodeJS, Go, or Kotlin.
* Partner closely with security and development teams to embed security best practices throughout the entire software development lifecycle.
* Proactively evaluate and implement new tools and technologies to enhance engineering efficiency, security posture, and operational excellence.
* Manage sensitive information securely using tools like HashiCorp Vault and ensure secure configurations for services like Kong & Nginx.

Equal opportunities:
At Fiverr, we know that talent has no single face. We welcome talent from everywhere and everyone because it makes everything we build better. Need accommodations? Just ask. And if this role excites you but you don't tick every box, apply anyway. The best people rarely fit the mold exactly.
Requirements:
* 4+ years of hands-on DevOps / Platform Engineering experience in production environments within a public cloud environment (AWS preferred)
* Strong, production-grade Kubernetes experience (design, deployment, scaling, and troubleshooting) with solid AWS experience (VPC, IAM, EC2, EKS, Load Balancers, 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 & Ansible – advantage)
* Experience with Docker and containerized workloads
* 2+ years of experience building and maintaining CI/CD pipelines (Jenkins, GitHub Actions)
* Proficiency in Python for automation and strong Linux administration skills
* Experience with monitoring and observability tools (Prometheus, Grafana)
* Development experience and familiarity with GenAI platforms (AWS Bedrock, Vertex AI, OpenAI) – advantage Working with AI At Fiverr, AI is a powerful partner in our engineering workflows. You'll leverage AI-powered tools like GitHub Copilot for code assistance, intelligent security scanning tools, and automation platforms to streamline deployments and monitoring. While AI handles repetitive tasks and provides insights, your critical thinking, architectural decisions, and complex problem-solving remain at the forefront.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8776958
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תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
28/09/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We're looking for a Senior Platform Engineer to join our CTI Group. We're a startup that builds a lot, so you'll work across a wide range of systems and tools, build new platforms and services, and have real influence over where the platform goes next.
You'll work on the platform behind our CTI products: the microservices running on Kubernetes, the cloud and on-prem environments around them, and the infrastructure behind the systems. There's a lot still to build, and you'll have a real say in what comes next.
Responsibilities
Own what you build end to end, from design through implementation to running it in production.
Design and build the internal platforms, tools, and services other engineering teams rely on, and add new ones as we grow.
Make architectural decisions across infrastructure, applications, networking, security, and data.
Design, build, and maintain our cloud and on-prem environments.
Build and operate the infrastructure behind our AI/ML systems at scale.
Manage and evolve our Kubernetes environments.
Build and maintain CI/CD pipelines, deployment automation, and Infrastructure-as-Code with Terraform.
Build security into the platform, from IAM and secrets management to network policies.
Set up the monitoring and observability that show us how the platform is doing.
Design for scalability, availability, performance, and resilience in high-scale production systems.
Apply Infrastructure-as-Code practices (Terraform) end to end.
Requirements:
5+ years in DevOps or Platform Engineering roles.
Strong software engineering skills, including production-grade Python development using OOP, and proficiency in Bash scripting.
Experience designing and building platforms and infrastructure from scratch.
A strong architectural sense: you understand how infrastructure, applications, networking, security, and data fit together.
Hands-on AWS experience.
Solid Kubernetes experience, including deploying, operating, and troubleshooting clusters.
Experience with Terraform and Docker, and comfort with Linux, networking, and security fundamentals.
Experience with high-scale production systems and with the infrastructure behind AI/ML workloads.
A startup mindset: hands-on, curious, and comfortable with broad scope and a lot of room to shape your own work.
Bonus Points:
Experience in the cyber security field.
On-prem, customer private cloud, or air-gapped deployment experience.
Model serving and ML tooling such as MLFlow, and GPU scheduling on Kubernetes.
Observability stacks such as Prometheus, Grafana, or Loki.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8836113
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דיווח על תוכן לא הולם או מפלה
מה השם שלך?
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שליחה
סגור
v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for an experienced Technical Lead to direct the technical vision across our Infrastructure Group (DevOps, Data Infrastructure, and Backend Platform).This person is deeply experienced in the DevOps and Data Infrastructure worlds, with solid working knowledge of the backend (Java) stack - enough to challenge service architecture and align infrastructure decisions with how services are actually built and run. This is a cross-cutting, technical role. The Technical Lead drives architecture, eliminates silos between teams, standardizes foundational engineering practices, and mentors senior engineers across the group

Team tasks you will take part in
Act as the infrastructure technical lead within the R&D organization, directly influencing our broader technology roadmap.
Drive the end-to-end technical strategy for cloud infrastructure across AWS and multi-cloud environments, from conceptual architecture to production readiness.
Collaborate with technical leads across engineering to ensure cross-group implementations align with our overall technical strategy.
Design and execute the rollout of AI infrastructure, including governed model access, LLM proxy architectures, inference/serving platforms, and MCP and agent infrastructure.
Establish AI as a first-class engineering capability across us (AI SDLC) by deploying governed coding agents, IDE assistants, AI-assisted code review, testing, and documentation-enforcing guardrails, cost controls, and usage visibility to deliver a measurable shift in throughput.
Architect and continuously evolve CI/CD systems and delivery pipelines at scale to reduce friction and elevate developer safety standards.
Collaborate directly with backend teams to architect scalable microservices and optimize datastore performance across RDS MySQL, MongoDB, and Snowflake.
Define and enforce organization-wide observability, reliability, and performance standards, establishing best practices for monitoring, alerting, and system health.
Cloud security, and incident management processes, ensuring systems remain resilient, secure, and compliant.
Requirements:
Requirements
8+ years in infrastructure/backend engineering, with deep hands-on expertise across both DevOps and Data Infrastructure.
Technical leadership - Proven track record leading technical direction in complex, distributed environments (as tech lead, staff/principal engineer, or hands-on team lead).
Mastery of AWS: Deep knowledge of AWS services, security best practices, account management, and cost optimization
Data Infrastructure Depth: Hands-on experience scaling and managing complex data platforms, including Snowflake, Apache Airflow, MongoDB, RDS MySQL, and streaming/batch framework concepts (Kafka, Spark).
Orchestration & Containers: Expert-level Kubernetes (EKS) and Docker; strong Terraform, GitOps, and CI/CD (GitHub Actions, ArgoCD).
Engineering Standards: Deep understanding of SRE principles, SOC 2 security compliance, cloud networking (WAF, VPCs, IAM)
Database Ops: Solid understanding of the DevOps aspects of MySQL/RDS and MongoDB (scaling, backups, performance tuning).
Backend: Working proficiency in Java microservices: able to read, review, and challenge backend architecture and service dependencies.
Team Player: Strong communication skills and a "can-do" attitude - you enjoy solving problems as part of a collaborative squad.

Advantages
Technical background in fintech, loan servicing, or compliance-heavy financial architectures.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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עדכון קורות החיים לפני שליחה
8831050
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