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15/04/2026
חברה חסויה
Location: Merkaz
Job Type: Full Time
abra R&D is looking for a Senior DevOps Engineer! abra R&D is looking for a DevOps Engineer who will take part in building a next-generation data and agent platform designed for real-time, AI-driven systems at scale. We are looking for a Staff Infrastructure / DevOps Engineer to own and build the production infrastructure layer across our entire platform. This role goes beyond traditional DevOps- you will design and implement infrastructure systems in code, including core services such as authentication, encryption, and internal platform tooling Our stack is primarily GCP , with plans for multi-cloud (AWS, Azure) deployment. What you’ll do:
* Design and build cloud infrastructure for KeewanoDB and the AI platform (primarily GCP, expanding to AWS/Azure)
* Develop infrastructure services in code (authentication, encryption, internal platform services) using Python, Go, or TypeScript
* Own and evolve CI/CD pipelines (GitHub Actions, build systems, release pipelines)
* Implement and manage infrastructure as code (Terraform or similar)
* Design and operate Kubernetes (K8s) environments for high-scale, distributed systems
* Build and maintain observability systems (monitoring, logging, tracing, alerting)
* Ensure security best practices across infrastructure (secrets management, IAM, encryption)
* Optimize system reliability, scalability, and performance across environments
* Work closely with backend, database, and AI teams to support production workloads
Requirements:
* 5+ years of experience in infrastructure, DevOps, or platform engineering
* Strong experience with GCP (primary), plus familiarity with AWS and/or Azure
* Proven experience building production-grade infrastructure systems, not just pipelines
* Strong programming skills in Python, Go, or TypeScript
* Deep experience with Kubernetes (K8s) and containerized environments
* Strong experience with CI/CD systems (GitHub Actions or similar)
* Experience with Infrastructure as Code (Terraform preferred)
* Solid understanding of networking, security, and distributed systems
* Experience with monitoring and observability stacks Strong Plus
* Experience building internal platform tooling or developer infrastructure
* Experience with database infrastructure and stateful distributed systems
* Familiarity with multi-cloud architectures and cross-cloud deployment strategies
* Experience with SonarQube or similar code quality/security tools
* Background in high-scale production environments
This position is open to all candidates.
 
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דרושים בCrowdStrike
Location: Tel Aviv-Yafo
Job Type: Full Time
CrowdStrike's Data Science Studio is seeking a pioneering Senior MLOps Engineer to establish and lead our MLOps function from the ground up. As the first MLOps engineer in the studio, you will play a foundational role in shaping how we build, deploy, and scale machine learning systems that protect thousands of organizations worldwide.

This is a unique opportunity to define the technical strategy, influence the technology stack, and architect the infrastructure that will power our AI/ML-driven security solutions for years to come.

This role combines strategic vision with hands-on execution. You'll work at the intersection of data science, engineering, and production operations - building production-grade systems that operate at immense scale while collaborating closely with highly technical data scientists and ML engineering teams across CrowdStrike.

What You'll Do:
- Architect MLOps infrastructure from the ground up: Design and implement the foundational MLOps platform, establishing best practices, tooling, and workflows that will scale with our growing data science initiatives
- Define technology strategy: Evaluate, select, and integrate MLOps technologies and platforms that best serve our needs - from experiment tracking and model versioning to deployment pipelines and monitoring systems
- Build production-grade ML pipelines: Develop robust, scalable pipelines for model training, validation, deployment, and monitoring that handle massive data volumes and ensure reliability in production
- Enable data scientist productivity: Create tools, frameworks, and automation that empower data scientists to move quickly from research to production while maintaining high quality and reliability standards
- Establish monitoring and observability: Implement comprehensive monitoring, logging, and alerting systems to ensure ML models perform optimally in production and issues are detected proactively
- Drive MLOps culture and practices: Champion best practices in ML engineering, CI/CD for ML, model governance, and reproducibility across the data science organization
- Collaborate cross-functionally: Partner closely with data scientists to understand their workflows and pain points, and work with ML engineering teams to ensure seamless integration with broader platform capabilities
 -Scale for the future: Design systems with scalability, security, and maintainability in mind, anticipating the needs of a rapidly growing ML portfolio
Requirements:
- 6+ years of experience in MLOps, ML engineering, DevOps, or related infrastructure roles with focus on machine learning systems
- Production ML systems expertise: Proven track record of building and operating ML systems at scale in production environments
- Strong infrastructure and automation skills: Deep knowledge of cloud platforms (AWS, Azure, or GCP), containerization (Docker, Kubernetes), and infrastructure-as-code (Terraform, CloudFormation)
- ML pipeline proficiency: Hands-on experience with ML workflow orchestration tools (e.g., Airflow, Kubeflow, MLflow, Metaflow) and building end-to-end ML pipelines
- Programming excellence: Strong coding skills in Python; experience with additional languages is a plus
- CI/CD and DevOps practices: Expertise in building automated deployment pipelines, version control, and modern DevOps methodologies
- Strategic and hands-on balance: Ability to think architecturally about long-term solutions while rolling up your sleeves to implement them
- Collaborative mindset: Excellent communication skills and ability to work effectively with data scientists, engineers, and stakeholders with varying technical backgrounds
- Startup mentality: Comfort with ambiguity and ability to build from scratch in a fast-paced environment
This position is open to all candidates.
 
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5 ימים
חברה חסויה
Location: Bnei Brak
Job Type: Full Time
We are looking for a talented and hands-on DevOps Engineer to join our team and play a key role in building, maintaining, and scaling our cloud infrastructure and delivery pipelines.
What youll do: Design, implement, and maintain cloud infrastructure across AWS and Azure Build and manage CI/CD pipelines using Azure DevOps Develop and maintain Infrastructure as Code using Terraform and Terragrunt Manage containerized environments using Docker Administer and maintain Windows and Linux servers Implement and manage monitoring, logging, and alerting systems using Grafana and related tools Automate operational processes using PowerShell, Bash, and Python Collaborate closely with development teams to improve performance, reliability, and system availability Troubleshoot and resolve issues in complex production environments
Requirements:
What were looking for: 3+ years of experience in a DevOps role Hands-on experience with AWS (ECS, EC2, Lambda, Networking) Strong experience with Azure DevOps (Pipelines, Repos, Releases) Proven experience with Terraform and Terragrunt Solid experience with Docker (image creation and container management) Experience managing Linux and Windows Server environments Familiarity with monitoring tools such as Grafana Scripting skills in PowerShell, Bash, or Python Strong understanding of Networking, Security, and High Availability
Nice to have: Experience with Kubernetes (EKS or AKS) Experience with CloudWatch, Prometheus, ELK, or Loki Background working with distributed systems and microservices architectures Experience with additional CD tools such as GitHub Actions or ArgoCD Familiarity with WAF and CDN solutions (CloudFront, Cloudflare)
This position is open to all candidates.
 
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17/03/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
we are looking for an experienced DevOps Engineer to join our high-performance team. Youll work closely with development teams to design and implement smarter processes and tools, while embracing a GenAI-driven mindset. In this role, you will help build and scale infrastructure that not only keeps our company running smoothly, but also powers next-generation AI-driven applications with speed, resilience, and efficiency.
our companys Technology Stack sample:
AWS, Kubernetes, Terragrunt, Ansible, Jenkins, ArgoCD, Argo-Workflows, Service Mesh, Nginx, CloudFlare, Hashicorp Vault/Consul, Kafka, RabbitMQ, Prometheus, Grafana, VictoriaMetrics, CircleCI
Programming languages: Python, NodeJS, Go, Kotlin
What am I going to do?
Maintain and build a large-scale, highly available cloud infrastructure focusing on K8S.
Improve resiliency and cost efficiency of our cloud infrastructure.
Use GenAI tools to automate troubleshooting, speed up incident resolution, and improve production reliability.
Develop AI-driven self-service solutions to accelerate developer issue resolution and resource provisioning.
Develop and adopt new tools to make Development and Operations processes at our company more efficient.
Collaborate with developers to optimize system performance, reliability, and scale.
Evolve and maintain our companys AWS infrastructure by improving and adopting new services.
Support AI/ML/GenAI services with scalable infrastructure and monitoring.
Maintain our company availability by participating in DevOps on-call shifts.
Mentor DevOps engineers.
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.
This position is open to all candidates.
 
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17/03/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
we are looking for an experienced DevOps Engineer to join our high-performance team. Youll work closely with development teams to design and implement smarter processes and tools, while embracing a GenAI-driven mindset. In this role, you will help build and scale infrastructure that not only keeps our company running smoothly, but also powers next-generation AI-driven applications with speed, resilience, and efficiency.
our companys Technology Stack sample:
AWS, Kubernetes, Terragrunt, Ansible, Jenkins, ArgoCD, Argo-Workflows, Service Mesh, Nginx, CloudFlare, Hashicorp Vault/Consul, Kafka, RabbitMQ, Prometheus, Grafana, VictoriaMetrics, CircleCI
Programming languages: Python, NodeJS, Go, Kotlin
What am I going to do?
Maintain and build a large-scale, highly available cloud infrastructure focusing on K8S.
Improve resiliency and cost efficiency of our cloud infrastructure.
Use GenAI tools to automate troubleshooting, speed up incident resolution, and improve production reliability.
Develop AI-driven self-service solutions to accelerate developer issue resolution and resource provisioning.
Develop and adopt new tools to make Development and Operations processes at our company more efficient.
Collaborate with developers to optimize system performance, reliability, and scale.
Evolve and maintain our companys AWS infrastructure by improving and adopting new services.
Support AI/ML/GenAI services with scalable infrastructure and monitoring.
Maintain our company availability by participating in DevOps on-call shifts.
Mentor DevOps engineers.
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.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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14/04/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Fiverr is looking for an experienced DevOps Engineer to join our high-performance team. You’ll work closely with development teams to design and implement smarter processes and tools, while embracing a GenAI-driven mindset. In this role, you will help build and scale infrastructure that not only keeps Fiverr running smoothly, but also powers next-generation AI-driven applications with speed, resilience, and efficiency. Fiverr’s Technology Stack sample: AWS, Kubernetes, Terragrunt, Ansible, Jenkins, ArgoCD, Argo-Workflows, Service Mesh, Nginx, CloudFlare, Hashicorp Vault/Consul, Kafka, RabbitMQ, Prometheus, Grafana, VictoriaMetrics, CircleCI Programming languages: Python, NodeJS, Go, Kotlin

What am I going to do?:

* Maintain and build a large-scale, highly available cloud infrastructure focusing on K8S.
* Improve resiliency and cost efficiency of our cloud infrastructure.
* Use GenAI tools to automate troubleshooting, speed up incident resolution, and improve production reliability.
* Develop AI-driven self-service solutions to accelerate developer issue resolution and resource provisioning.
* Develop and adopt new tools to make Development and Operations processes at Fiverr more efficient.
* Collaborate with developers to optimize system performance, reliability, and scale.
* Evolve and maintain Fiverr’s AWS infrastructure by improving and adopting new services.
* Support AI/ML/GenAI services with scalable infrastructure and monitoring.
* Maintain Fiverr availability by participating in DevOps on-call shifts.
* Mentor DevOps engineers.

Equal opportunities:
At Fiverr, 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. At Fiverr, we prioritize diversity. We celebrate difference and embed it into every aspect of our workplace and product, as well as our community. Fiverr is 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, Fiverr will provide accommodation to individuals with disabilities or a special need.
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
This position is open to all candidates.
 
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30/03/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
The DevOps Engineer builds, automates, and operates cloud‑native infrastructure across AWS and Red Hat OpenShift, enabling scalable, secure, and reliable application delivery. This role combines hands‑on platform engineering, CI/CD automation, container orchestration, and the integration of AI‑powered tools for observability, anomaly detection, and operational efficiency. The engineer collaborates closely with development, security, and SRE teams to streamline deployments and improve system resilience.
Core Responsibilities
Cloud & Platform Engineering
Design, deploy, and maintain cloud‑native infrastructure on AWS (EC2, VPC, IAM, EKS, S3, RDS, Lambda).
Operate and optimize Red Hat OpenShift clusters, including cluster upgrades, operator management, and workload orchestration.
Implement Infrastructure‑as‑Code using Terraform, CloudFormation, or Ansible.
Build secure, scalable network architectures including VPC design, load balancing, service mesh, and ingress/egress controls.
CI/CD & Automation
Develop and maintain CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or Argo Workflows.
Automate build, test, and deployment workflows for microservices and containerized applications.
Implement GitOps practices using Argo CD or Flux.
Create reusable automation modules and scripts in Python, Bash, or Go.
Containers & Kubernetes
Manage containerized workloads using Docker, Kubernetes, and OpenShift Operators.
Configure namespaces, RBAC, secrets, ConfigMaps, and resource quotas.
Troubleshoot cluster performance, networking, and scheduling issues.
Support service mesh technologies (Istio, Linkerd) when applicable.
AI‑Driven Operations
Integrate AI/ML‑based tools for monitoring, anomaly detection, predictive scaling, and automated remediation.
Work with data and platform teams to operationalize AI/ML pipelines on Kubernetes or OpenShift.
Evaluate emerging AI‑Ops platforms and contribute to automation strategies.
Observability & Reliability
Implement monitoring, logging, and tracing using Prometheus, Grafana, ELK, Loki, CloudWatch, or Datadog.
Build alerting, dashboards, and SLO‑based reliability metrics.
Participate in on‑call rotations and incident response, driving root‑cause analysis and long‑term fixes.
Security & Compliance
Apply DevSecOps practices including image scanning, secrets management, and policy enforcement.
Work with security teams to implement IAM best practices, encryption, and compliance controls.
Integrate tools such as Vault, OPA/Gatekeeper, or Kyverno.
Requirements:
2-5 years of experience in DevOps, cloud engineering, or platform operations.
Strong hands‑on experience with AWS services and cloud architecture fundamentals.
Practical experience with Kubernetes and Red Hat OpenShift.
Proficiency with Terraform, Ansible, or similar IaC tools.
Experience building CI/CD pipelines and automating deployments.
Solid Linux administration and networking fundamentals.
Scripting skills in Python, Bash, or Go.
Understanding of container security, cloud security, and DevSecOps practices.
Preferred Qualifications
Certifications: AWS Solutions Architect, CKA/CKAD, Red Hat OpenShift, Terraform Associate.
Experience with AI‑Ops platforms or ML pipeline orchestration.
Familiarity with service mesh, API gateways, or event‑driven architectures.
Experience with multi‑cluster or hybrid cloud environments.
Background in SRE practices (SLOs, error budgets, chaos engineering).
What Success Looks Like
Reliable, automated, and secure cloud‑native infrastructure supporting rapid development cycles.
Stable and observable Kubernetes/OpenShift environments with clear operational metrics.
Reduced manual work through automation and AI‑driven insights.
Strong collaboration with engineering teams and continuous improvement of DevOps practices.
This position is open to all candidates.
 
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07/04/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
we are looking for a talented DevOps Engineer to join us on our mission to simplify decision-making for millions!

What You'll Do

Responsibilities

Design, own, and evolve DevOps tooling, CI/CD architecture, and infrastructure automation strategies across multi-cloud environments (AWS & GCP), supporting high-performance, resilient production systems.
Manage Kubernetes clusters (EKS, GKE) and containerized microservices at scale, leveraging Helm, IaC, and other cloud-native technologies.
Collaborate with engineering and data teams to optimize cloud-native architectures for performance, cost-efficiency, scalability, and high availability.
Automate infrastructure and pipeline workflows using Python, Bash, and Groovy, with IaC tools like Terraform and CloudFormation, and CI/CD platforms such as Jenkins and GitHub Actions.
Support data workflows and ML deployments using orchestration tools like Airflow and CI/CD for data pipelines.
Work with AI-native tooling (e.g., MCP, agent frameworks, Cursor, OpenAI, Gemini and Vertex).
Bring out-of-the-box thinking, excellent problem-solving skills, and the ability to debug complex systems.
Requirements:
3+ years of hands-on experience with AWS in production environments, with strong working knowledge of Linux-based systems for deployment, debugging, and automation.
3+ years of DevOps experience supporting production-grade systems with high availability, scalability, and operational reliability.
Strong expertise in Kubernetes-based orchestration (EKS, KOps, GKE).
Extensive experience with CI/CD tools such as Git, GitHub, Jenkins, GitHub Actions, and Nexus.
Proficiency in scripting/programming languages, including Bash, Python, or Groovy, for automating infrastructure and pipelines.
Experience with Infrastructure as Code (IaC) tools like Terraform and CloudFormation.
Experience with logging, metrics, and observability stacks, such as Datadog, Telegraf, Elasticsearch, Kibana, Prometheus, and Grafana.
Ability to troubleshoot and debug complex, distributed systems across multiple cloud environments.
Only candidates meeting the above requirements will be considered.
This position is open to all candidates.
 
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15/04/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
our core technology combines an advanced visual capture infrastructure, cloud-based automated post-production processes, a scalable streaming platform, and proprietary application layers that utilize GPU shader video rendering and animations. Our platform includes modern full-stack development and integrations to the world's e-commerce, catering to the scale and standardization demanded by the world's largest enterprise brand.
What does it mean to be a DevOps at our company?
Being a DevOps Engineer at our company means connecting with the business at large, rather than focusing solely on a specific niche. You'll collaborate with various departments, and the infrastructure and delivery pipelines you contribute to will reach millions of end-users.
We value expanding skill sets, discovering new areas of excellence, and pursuing passions over rigid job titles.
Your true potential
CVs and resumes cant capture the full essence of who you are as a developer. We believe in looking beyond project bullet points and tech stacks to understand the person behind them. We prioritize how you think and solve problems over specific programming languages and their quirks.
Our ideal candidates are curious, creative thinkers, and continuous learners with a passion for technology. If you thrive on learning by doing, love taking on exciting challenges, and enjoy exploring new territories, then our company is the place for you.
WHAT WILL YOU DO
Lead features end-to-end with full ownership and accountability, from design through deployment.
Establish monitoring and observability practices that provide real-time visibility into complex workflows and distributed systems.
Design and build infrastructure for large-scale usage.
Shape how we rapidly build and release code to production for millions of viewers.
Requirements:
OUR DREAM CANDIDATE
3-5 years of experience as Devops Engineer
Proven experience building and maintaining high-scale, high-availability production systems for enterprise environments, with a track record of handling mission-critical systems.
Deep understanding of cloud computing (AWS or GCP).
Strong hands-on experience with container orchestration using Docker and Kubernetes, including deploying and managing containerized workloads in production.
Advanced knowledge in JavaScript
Advanced networking knowledge, including load balancing and firewall configuration.
Strong background in monitoring, logging, and alerting systems (New Relic, Datadog, Mezmo, Kibana), with experience implementing observability practices for distributed systems.
Fluency in infrastructure-as-code tools such as Terraform, CloudFormation, or Pulumi.
Proficiency in scripting languages (Bash, Python, or Go) for automation and system management.
Not a must, but well value any experience with these tools were already using:
Familiarity with messaging queues and event-driven architecture (e.g., Kafka, RabbitMQ, Kinesis)
Proven experience in security best practices and vulnerability management.
Experience with SQL and modern data stack tools (e.g., MySQL, Postgres, Snowflake, dbt).
Experience in software development is a strong advantage.
Degree in Computer Science (not a must; were always looking for super-talented people).
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8611741
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דיווח על תוכן לא הולם או מפלה
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תיאור
שליחה
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v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
15/04/2026
חברה חסויה
Location:
Job Type: Full Time
As a certified AWS Partner, we design and deliver well-architected, secure, and cost-efficient cloud solutions - combining deep technical expertise with outstanding customer service. The Role Were looking for a Mid-Level DevOps Engineer to join our growing team and take part in designing, building, and operating scalable, secure, and automated AWS-based infrastructures. Youll work in a fast-paced environment, using advanced, cloud-native technologies, and have direct interaction with customers - understanding their challenges, designing solutions, and guiding them from architecture to production. Responsibilities Build and manage Infrastructure as Code (IaC) using Terraform Develop and optimize CI/CD pipelines (GitLab CI, GitHub Actions, Jenkins, etc.) Design, deploy, and maintain containerized environments using Docker & Kubernetes (EKS) Design and implement scalable, secure, and cost-efficient AWS architectures Work directly with customers to gather requirements, design solutions, and provide hands-on technical guidance Lead and support cloud modernization projects, including migrations and replatforming Monitor and improve system reliability using observability tools Troubleshoot complex production issues in dynamic, high-velocity environments Apply cloud security best practices (IAM, encryption, networking, compliance)
Requirements:
3+ years of experience in production-grade cloud environments Strong hands-on experience with AWS services Proven experience with Terraform or other IaC tools Solid experience building and maintaining CI/CD pipelines Hands-on experience with Docker & Kubernetes (EKS / K8s) Strong understanding of cloud-native architectures Scripting skills in Bash / Python / Go Ability to thrive in a fast-paced, evolving environment Strong communication skills and experience working with customers Fluent English - written and verbal Nice to Have AWS Certifications (DevOps Engineer / Solutions Architect) Experience in customer-facing / consulting roles Familiarity with GitOps tools (ArgoCD, FluxCD) Experience with SaaS platforms Knowledge of Serverless architectures (Lambda, API Gateway, Step Functions) Why us? Work in a cutting-edge cloud environment Exposure to advanced AWS services and modern DevOps practices Projects with leading customers and real production systems A high-performing team with a strong learning culture Growth, ownership, and professional development
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8591845
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 :)
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
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.
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.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8591955
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