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23/03/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
As a DevOps Engineer, you won't just "maintain" infrastructure, you will own it.
You will lead the charge in cloud security automation, using an AI-first mindset to drive extreme efficiency. Your mission is to identify, rectify, and prevent misconfigurations and bottlenecks in advance. You are expected to operate with high autonomy, shaping the future of secure cloud environments by being a proactive force, not a reactive one.
Key Responsibilities:
Innovate & Implement:Design and implement cloud infrastructure solutions with a focus on GCP, including compute reservations, BigQuery, Pub/Sub, GCS, and networking.
Release Engineering: Lead weekly production upgrade cycles across global multi-region environments, including branch-out processes, hotfix management, version gating, and rollback procedures.
Service Deployment & Lifecycle: Own end-to-end service deployments on Kubernetes - from Helm chart creation and Flux/GitOps configuration to production rollout and scaling.
Database Administration:Manage and optimize database infrastructure including MySQL, Redis, BigQuery, Neo4j, Scylla, MongoDB, and PostgreSQL in production environments.
AI Integration: Utilize AI-supporting tools to optimize coding, automate repetitive tasks, and solve complex architectural puzzles. Contribute to AI-native infrastructure such as Vertex AI and AI Gateway services.
Tenant & Customer Infrastructure: Manage customer-specific infrastructure including dedicated compute reservations, tenant provisioning, licensing configuration, and feature flag management across multi-tenant and single-tenant environments.
Infrastructure Automation & Tooling:Develop internal CLI tools and automation scripts (Python) to streamline operations.
Cost Optimization: Drive cloud cost optimization through resource right-sizing, reservation management, database disk reduction, and efficiency improvements.
Service Reliability: Enhance uptime by establishing SLAs, setting up comprehensive monitoring (Prometheus, Grafana, Stackdriver), and participating in the production on-call rotation (including off-hours support).
Requirements:
3+ years in DevOps/SRE with a focus on multi-region production environments.
AI-First Workflow: Must be proficient in using LLM-based agents (Cursor, Claude Code, etc.) for coding and architecture.
Cloud & Containers: Deep expertise in GCP (GKE), including Kubernetes orchestration (HPA, Node Pools) and Terraform for IaC.
Automation: Strong Python/Bash skills and experience with GitOps workflows (Flux/ArgoCD) and CI/CD (GitLab/Jenkins).
Data & Infrastructure: Experience managing production databases (SQL/NoSQL) and standard Linux/Networking troubleshooting.
Nice to have:
Experience with AI-native infrastructure (Vertex AI, AI Gateways).
Observability stacks (Prometheus/Grafana) and managing Multi-tenant SaaS platforms.
Willingness to participate in on-call rotations.
This position is open to all candidates.
 
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לפני 18 שעות
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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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
At our company, we believe people are capable of more than a single job description. Youre not hired just to fill a position- youre empowered to shape it, grow it, and make it your own.
We call this being Positionless.
And Positionless isnt just our culture. Its our product.
we are the creator of Positionless Marketing, an AI-powered platform that gives every marketer the power to analyze, create, launch, and optimize independently. The result is faster execution, deeper personalization, and 88% greater campaign efficiency.
Recognized as a Visionary in Gartners Magic Quadrant, we partner with leading brands like Sephora, Staples, and Entain. Today, more than 550 our company's across NYC, London, Tel Aviv, Scotland, Brazil, Estonia, and beyond are building the future of marketing together, in an environment that actively encourages ownership and growth, with two out of every three managers promoted from within.
If youre looking for a place where you can do more, be more, come grow with us.
Are you passionate about ensuring system reliability, scalability, and performance? Do you thrive in a dynamic environment where automation and operational excellence are key?
we are looking for a Site Reliability Engineer (SRE) to join our team and play a crucial role in designing, implementing, and maintaining our cloud-based infrastructure. In this role, you will collaborate across teams to drive automation, improve system resilience, and optimize performance while fostering a culture of reliability.
Responsibilities:
System Reliability- Ensure high availability and performance of services through effective monitoring, incident management, and root cause analysis.
Automation & Tooling- Develop and maintain automation for infrastructure provisioning, configuration management, and application deployment.
Performance Optimization- Analyze and enhance system performance, including load balancing, caching, and database tuning. Conduct regular capacity planning.
Incident Response & Troubleshooting- Lead incident response efforts, participate in on-call rotations, and troubleshoot complex infrastructure issues.
Security & Compliance- Collaborate with security teams to implement best practices and ensure compliance with relevant standards (ISO 27001, SOC 2, etc.).
Collaboration & Mentorship- Work closely with developers, DevOps, Support, and product teams to enhance application reliability and implement SRE best practices.
Requirements:
4+ years in Site Reliability Engineering, DevOps, or related roles.
Proven experience managing large-scale, cloud-based infrastructure in GCP, AWS, or Azure.
Expertise in container orchestration (Kubernetes, Docker) and microservices architecture.
Strong proficiency in scripting and programming languages (Python, Go, Bash, etc.).
Experience with CI/CD pipelines, infrastructure as code (Terraform, CloudFormation), and configuration management (Ansible, Puppet, Chef).
Hands-on experience with monitoring and observability tools (Datadog, Prometheus, Grafana, ELK Stack).
Experience using AI tools to enhance SRE processes, such as intelligent monitoring, incident prediction, and automation of incident response.
Deep understanding of networking concepts, DNS, load balancing, and distributed systems.
Strong problem-solving skills, excellent communication, and a proactive mindset.
Advantages:
Certifications- AWS Certified Solutions Architect, GCP Professional Cloud Architect, or Kubernetes certifications (CKA, CKAD).
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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31/03/2026
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
We are looking for a DevOps Engineer to join our dynamic and growing team.
Job Id: 23046
This is an opportunity to work alongside top engineers, gain hands-on experience in production environments, and help scale secure, high-performance services used by customers around the globe. You will be part of a fast-paced, startup-like environment, with the backing and stability of a global cybersecurity leader.
Key Responsibilities:
Support the deployment and maintenance of scalable, multi-tenant environments across cloud platforms
Assist in automating infrastructure using Infrastructure-as-Code tools and CI/CD pipelines
Monitor and improve the reliability, performance, and security of platform services
Collaborate with development, product, and operations teams to deliver new features and improvements
Troubleshoot infrastructure and application issues in development and production environments
Implement custom user interfaces using the latest programming techniques and technologies
Design, develop, and maintain DevOps-related microservices that support platform automation and reliability
Design and integrate agentic AI capabilities into DevOps workflows to automate decision-making, incident response, and platform operations.
Requirements:
Bachelors degree in Computer Science or a related technical field
At least 3 years of experience as a DevOps Engineer
Strong interest in cloud technologies, DevOps methodologies, and automation
Knowledge of containerization and container orchestration technologies, such as Amazon EKS
Experience in the design, operation, and troubleshooting of Kubernetes core components and API extensions for cloud-native, distributed systems
Familiarity with Linux, basic networking, containers, and scripting
Understanding of CI/CD, cloud infrastructure, and monitoring concepts
Experience building maintainable and testable codebases, including API design and unit testing techniques
Hands-on experience applying GitOps principles to manage Kubernetes infrastructure and application deployments
Nice to Have:
Exposure to Kubernetes in cloud environments such as Amazon EKS
Familiarity with Ingress Controllers, Kubernetes Gateway API, CloudFront, and Global Accelerator
Experience designing and developing Kubernetes operators and controllers
Experience or coursework with tools such as Terraform, Pulumi, Crossplane, and Helm
Hands-on experience with observability technologies such as Prometheus, Grafana, OpenTelemetry, and centralized logging systems.
This position is open to all candidates.
 
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05/04/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
we are on a mission to bring identity security everywhere - to every human, machine, and AI agent, both on-prem and in the cloud. Our unique technology secures identities & access at runtime, in ways that werent possible before. With the broadest identity security platform in the market, trusted by more than 1,000 customers including many Fortune 100 companies, we are uniquely positioned to lead the fast-growing identity security category.
Joining our company means becoming part of a fast-moving team with a culture of innovation and collaboration, that goes above and beyond to help our customers and each other, on a journey to reshape the future of identity security.
As a DevOps Engineer, youll design and implement a full CI/CD solution on AWS and Azure with Kubernetes, while supporting and scaling our cloud infrastructure using Infrastructure as Code.
Responsibilities
Design and implement robust, scalable, and highly available cloud solutions to ensure seamless service delivery and support rapid business growth
Focus on cross-service integrations and components within the SaaS stack, adhering to DevOps best practices
Develop, enhance, and maintain CI/CD pipelines using a GitOps-driven approach, ensuring efficient and secure deployment workflows
Streamline processes through automation, focusing on scalability, security, metric collection, and enhanced visibility across environments
Partner with developers to optimize service reliability, performance, failover strategies, and scalability
Work as part of an innovative and high-performing team, leveraging modern tools and technologies.
Requirements:
5+ years of experience in DevOps roles, with a proven track record of managing large-scale systems
3+ years of hands-on experience with cloud platforms, preferably AWS or Azure
Proficiency in Kubernetes for container orchestration- must
Strong experience with Infrastructure as Code (IaC) tools, particularly Terraform- must
Advanced expertise in enterprise Linux administration in production environments, including deployment, configuration, and lifecycle management
In-depth knowledge of Continuous Delivery (CI/CD) and GitOps methodologies, with tools such as Jenkins, GitHub Actions, and ArgoCD
Expertise in configuration management tools such as Ansible
Familiarity with message bus technologies (e.g., RabbitMQ, Kafka, or similar)
Hands-on experience with monitoring and logging solutions
Proficiency in automation scripting using Bash and at least one programming language such as Python or Go
Solid understanding of networking concepts and information security, including firewalls, VPNs, LDAP, identity management, and access control
Strong collaboration skills, with the ability to work across teams, communicate complex issues, and support technical decision-making
Analytical and proactive, with high ownership and accountability for end-to-end system reliability in dynamic environments.
This position is open to all candidates.
 
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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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22/03/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
As a Site Reliability Engineer on the SASE Platform team, you will play a critical role in building and operating highly available, secure, and globally distributed services. Your mission is to ensure our cloud-native security and networking platform is reliable, scalable, and performant from day one, protecting the users, applications, and data for the world's largest enterprises as they adopt cloud, remote work, and AI
Your Impact:
Proactively collaborate with development teams to embed reliability, scalability, and operability into services from the earliest design stages.
Design, review, and evolve cloud-native architectures to improve availability, performance, cost efficiency, and fault tolerance.
Build and operate automation for provisioning, deploying, and managing global infrastructure using Infrastructure as Code (IaC).
Improve CI/CD pipelines and release processes to enable safe, fast, and repeatable deployments.
Drive observability best practices, including metrics, logs, traces, and SLIs/SLOs to enable data-driven incident analysis.
Participate in on-call rotations, reducing mean time to resolution (MTTR) through automation and proactive reliability improvements.
Challenge existing processes by championing reliability, security, and operational maturity across the organization.
Requirements:
Your Experience
5+ years of experience working with Unix/Linux systems, including shell, tools, networking, and kernel concepts.
2+ years of hands-on experience with microservices architectures running on Kubernetes and container platforms.
Proven experience operating workloads in public cloud environments (e.g., AWS, GCP, Azure) at scale.
Proficiency in building automation and tools in at least one scripting or programming language (e.g., Python, Go, Java).
Strong experience with Infrastructure as Code (IaC) tools such as Terraform or Ansible.
Bachelors degree in Engineering, Computer Science, or a related technical field, or equivalent practical experience.
Nice to have:
Deep expertise in designing and operating monitoring, alerting, and observability systems (e.g., Prometheus, Grafana, ELK Stack).
Advanced networking expertise, including TCP/IP, DNS, BGP, routing, and cloud networking concepts relevant to SASE architectures.
Prior experience operating or supporting SASE, SD-WAN, Zero Trust, or network security platforms.
Familiarity with using AI/LLM technologies to improve operational workflows (e.g., incident analysis, automation).
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8587419
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
We are looking for a hands-on Senior DevOps Engineer with a strong cloud-native mindset to build, maintain, and evolve our highly scalable, highly-available cloud infrastructure. This role is pivotal in driving operational excellence, security, and automation across our entire engineering organization. You will promote communication, integration, and collaboration to significantly enhance our software development productivity and reliability. You'll work closely with engineering and product teams to streamline delivery, enforce platform standards, and enable a high-velocity development environment-all while keeping reliability and security top of mind.
Responsibilities:
Design, Automate, and Manage complex cloud infrastructure on AWS using best-in-class Infrastructure as Code (IaC) practices.
Lead the operation and enhancement of our production Kubernetes environments (EKS), focusing on automation, security, observability, and seamless CI/CD integration.
Drive continuous improvement across platform tooling, developer experience, and operational processes to meet our ambitious performance and uptime goals.
Implement and enforce security-first infrastructure patterns, including strong IAM, network segmentation, and secure secrets management.
Actively contribute to high-level technical design discussions and cross-functional architectural decision-making, ensuring solutions align with long-term platform strategy.
Requirements:
7+ years of experience as a DevOps Engineer, Platform Engineer, or in a similar infrastructure-focused role.
Strong hands-on expertise across the AWS Stack (e.g. EC2, EKS, RDS, VPC, IAM, S3, Lambda).
Mastery of Infrastructure as Code - Terraform or equivalent.
Deep operational knowledge of Kubernetes, including architecture, cluster management, networking, and advanced debugging in production environments.
Strong expertise in designing and managing CI/CD methodologies and platforms (e.g. Jenkins, Github Actions).
Experience with monitoring tools such as Prometheus, DataDog, Coralogix (OTEL), Grafana etc.
Proven prior experience building and maintaining highly-available, production-grade, and service-oriented systems.
Strong scripting and automation background in languages such as Python or Bash.
Exceptional communication and collaboration skills with the ability to articulate complex technical needs and influence cross-functional teams.
Strong knowledge of AWS Networking - an advantage.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8625782
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
We are looking for a hands-on DevOps Team Lead to take ownership of our infrastructure, DevOps practices, and automation pipelines.
You will be the technical and operational lead for a small but growing DevOps team, driving reliability, scalability, and security across our cloud environments.
In this role, you will split your time between leading and mentoring the team, designing and evolving infrastructure, and implementing solutions.
What Youll Do
Lead, mentor, and grow the DevOps team.
Define and enforce DevOps best practices across infrastructure, CI/CD, and security.
Manage the SeaPod Lab environment for developer and test usage.
Operate and evolve the SeaPod Server Linux infrastructure, deployed at scale worldwide, handling complex connectivity and security.
Maintain consistent baselines, update tools, and ensure fleet-wide monitoring and support.
Design, manage, and evolve AWS infrastructure (VPC, IAM, networking, RDS, EKS, etc.).
Operate and upgrade Kubernetes/EKS clusters, manage Helm charts, operators, and custom resources.
Define namespace policies, quotas, and resource allocations.
Drive security, compliance, and cost optimization.
Maintain and enhance GitLab CI pipelines for multiple workloads (Lambda, EKS, EC2, etc.).
Integrate testing, linting, and vulnerability scans into CI/CD workflows.
Build reusable pipeline components for microservices.
Own monitoring and alerting strategies (Grafana, CloudWatch, Coralogix, Prometheus).
Operate and tune PostgreSQL (RDS, Aurora) and manage backups/restores.
Manage distributed tracing. Lead upgrade from Fluentd → OpenTelemetry.
Architect and deploy serverless solutions (Lambda, DynamoDB, API Gateway).
Integrate with event-driven services (SNS/SQS, Kinesis, RDS Proxy).
Manage IAM roles/policies, secrets, and security posture.
Requirements:
5+ years of hands-on DevOps, including 2+ years in a leadership or mentoring role.
Strong production experience with AWS services (VPC, RDS, EKS, IAM, Lambda).
Proven track record operating Kubernetes/EKS clusters at scale.
Expertise with Terraform (or similar IaC tools) and GitLab CI/CD (or equivalent).
Solid background in Linux systems administration, ideally managing large distributed fleets.
Practical experience with PostgreSQL in production (replication, tuning, backup/restore).
Hands-on with observability stacks (Prometheus, Grafana, CloudWatch, OpenTelemetry).
Experience designing and operating secure, compliant environments (SOC2/ISO27001 familiarity a plus).
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8610254
סגור
שירות זה פתוח ללקוחות VIP בלבד