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25/03/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Platform Engineering Manager to join the Data Security team. In this role, you will lead the Platform Engineering team, whose mission is to empower engineering teams by delivering reliable, scalable environments, services, and tools that enable efficient development, seamless delivery, and high productivity.

Key Responsibilities:

Lead, mentor, and grow the Platform Engineering team .

Own the CI/CD ecosystem (e.g., GitLab CI, Jenkins, etc) while driving adoption of best practices in build and CI/CD pipelines, testing, supportability, and security for faster and safer deployments.

Manage testing infrastructure and environment provisioning.

Drive automation to reduce manual intervention and operational overhead.

Improve developer productivity by streamlining local dev environments, sandbox infra, and test automation. Release faster and more reliable product.

Ensure ease of supportability, maintainability, and observability of services.

Conduct regular infrastructure reviews, audits, and cost optimizations.
Requirements:
4+ years hands-on in Infrastructure/DevOps roles.

At least 3+ years in leadership/management role. Managing and scaling infra/DevOps teams (5+ engineers).

Experience decomposing large initiatives into phased, incremental programs.

Deep knowledge of automation and CI/CD pipeline tools (GitHub Actions, GitLab CI, Jenkins, etc.).

Proficiency in GCP.

Exposure to hybrid setups (cloud + on-prem).

A team player with excellent collaboration, communication skills to collaborate with product, engineering, security, and leadership stakeholders.

Strong analytical, diagnostic, and problem-solving skills with the ability to work independently and take ownership.

Proven experience working with AI tools to speedup processes and improve efficiency.

Be able to adapt to new technologies and infrastructure.
This position is open to all candidates.
 
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לפני 12 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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09/04/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
As a DevOps Experience Manager at Fiverr, you will lead our DevEx team with a specific focus on optimizing the end-to-end journey of our software engineers. Your mission is to build and maintain a scalable, secure, and intuitive internal developer platform that minimizes friction and maximizes productivity. You will drive the adoption of modern DevEx practices, ensuring a seamless alignment between engineering workflows, developer satisfaction, and operational excellence. This leadership role requires a balance of hands-on technical expertise and strategic vision, empowering your team to deliver high-quality platform solutions in a fast-paced environment. You will shape Fiverr’s developer productivity strategy - optimizing the "inner loop," enhancing system reliability, and implementing innovative technologies, including Generative AI-driven automation , to provide developers with better self-service capabilities and insights.

What am I going to do?:
Lead and mentor a team of engineers dedicated to developer productivity, fostering a culture of ownership and continuous improvement. Design and implement scalable, secure, and cost-efficient developer platforms and architectures that simplify the path to production. Evaluate and adopt emerging tools and best practices to enhance the developer experience and overall product quality. Drive standards of Infrastructure as Code, comprehensive observability, and automated testing to create a "paved road" for development teams. Monitor productivity metrics and infrastructure reliability, providing data-driven insights to leadership on how to improve engineering velocity. Guide the team in applying GenAI-native tools to automate documentation, provide self-service support for developers, and optimize performance. Partner with cross-functional leaders to influence architecture and development workflows, ensuring the platform meets the needs of all engineering teams. Hire and continue to build the team Report to the VP of Cloud Engineering , contributing to Fiverr's long-term technology roadmap for developer empowerment.

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:
8+ years of hands-on experience in DevOps or Platform Engineering, with at least 1+ years in a leadership/management role Proven experience leading teams and driving alignment within matrixed organizations. Technical expertise in CI/CD pipelines, AWS, Infrastructure as Code (Terraform, Pulumi), container orchestration (Kubernetes), and observability tools. Strong understanding of how infrastructure choices impact developer velocity and cloud cost modeling. Experience with Generative AI in a DevEx context, such as automating workflows, enhancing productivity, or creating intelligent alerting systems. Curiosity and ability to evaluate new AI-native tools and integrate them where they provide real value to the engineering community. Excellent communication skills , with the ability to influence both technical developers and non-technical stakeholders. Strategic mindset , comfortable managing competing priorities in a high-pressure 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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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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22/03/2026
Job Type: Full Time
We're looking for a Senior AI/MLOps Engineer to join a group that specializes in Security and Networking, and specifically ML, AI and agent development. As a Senior AI/MLOps Engineer, youll build and maintain the infrastructure, tools and processes necessary to support the AI lifecycle in a production environment. You will collaborate closely with data scientists, software engineers, security architects and DevOps teams to ensure smooth deployment, modeling and optimization of AI models. This role involves creative problem solving alongside engineering teams, and is pivotal for the continued success of AI networking security.

What youll be doing:

Developing, improving and optimizing scalable infrastructure for handling and deploying security and networking AI models and agents in production, ensuring high availability, scalability, reproducibility, and performance.

Optimizing AI models and agents for performance, scalability, and resource utilization, considering factors such as latency, efficiency, and cost.

Monitoring and deploying agentic systems, LLMs, and ML models in production.

Designing and implementing frameworks/pipelines for AI training, inference, and experimentation.

Collaborating closely with data scientists, security architects and software engineers to operationalize and deploy AI models and agents, including packaging and integration with existing systems. Participate in developing and reviewing code, design documents, use case reviews, and test plan reviews.

Collaborating with DevOps teams to integrate pipelines and workflows into the CI/CD process, ensuring flawless deployments and rollbacks.

Building and maintaining monitoring and alerting systems to proactively identify and resolve issues relating to quality, performance and infrastructure.

Implementing access controls, authentication mechanisms, and encryption standards for AI models and data.

Documenting guidelines, and standard operating procedures for MLOps/AI processes and sharing knowledge with the wider team.

Develop proof-of-concepts for new features.
Requirements:
What we need to see:

BSc/MSc in CS/CE or related field (or equivalent experience).

Strong background in AI with experience deploying and monitoring AI/ML models, LLMs and agents to production systems at scale, including distributed and multi-node environments - at least 5 years of experience.

Proficiency in programming languages such as Python, Java, or Scala, along with experience in using ML/AI frameworks and libraries (e.g. TensorFlow, PyTorch).

Proficiency in microservices architecture, container orchestration, cloud platforms, and scalable infrastructure for training and inference workloads.

Knowledge of inference optimization techniques.

Understanding of build infrastructure and CI/CD tools and practices (e.g. GitLab, GitHub Actions, Jenkins).

You are detail-oriented and care deeply about robust, well tested, high-performance code in production environments.

You are proactive, take full ownership of your deliverables, have a can-do approach, and excellent communication and collaboration skills, able to work effectively in multifunctional teams.

Ways to stand out from the crowd:

Knowledge of network protocols and Linux internals.

Security and networking background, with knowledge of security protocols, network architectures, firewalls, intrusion detection systems, and other relevant security and networking concepts.

Experience deploying and optimizing generative models and agents.

Knowledge of network security principles and practices.
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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4 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Who We Are: Incredibuild empowers developers to radically accelerate their work by shortening build times, enabling more iterations, and speeding up product releases. Thousands of customers - including world-leading brands - rely on our platform to streamline and accelerate everything from compilation to release automation, resulting in major resource savings and faster time-to-market. We’ve helped over 200,000 developers at companies like Microsoft, Samsung, Nintendo, Amazon, and many others build some of the world’s most impactful software across gaming, financial services, embedded systems, and more. As a Pre-sale engineer , you will partner with enterprise customers to design and deliver solutions that accelerate CI/CD pipelines and developer productivity. This is a customer-facing, pre-sales role combining deep technical expertise (backend systems, CI/CD, DevOps) with strong business and communication skills. You will lead technical discovery, run POCs, and act as a trusted advisor throughout the sales cycle and early onboarding.
?Key Responsibilities:
* Own the technical engagement from discovery through POC and rollout
* Analyze customer CI/CD and build environments to identify bottlenecks
* Design scalable solutions leveraging Incredibuild across backend and DevOps ecosystems
* Build ROI-driven value propositions using performance metrics
* Partner with Sales, Product, and Engineering to drive successful deployments
* Create reusable assets (POCs, best practices, demos)
* Support early-stage onboarding and expansion
Requirements:
* 5+ years in a customer-facing technical role ( Solution Engineer /Application engineer/Pre-Sales Engineer /Sales Engineer Strong focus on backend products architectures including APIs, distributed systems, and server-side technologies
* Proven experience in pre-sales / solution architecture roles
* Availability to work Monday–Friday, aligned with US time zones
* Strong hands-on experience with CI/CD systems (e.g., Jenkins, GitHub Actions, GitLab, Azure DevOps)
* Deep understanding of build systems (e.g., CMake, MSBuild, Gradle, Bazel)
* Strong experience with Linux/Windows environments and backend infrastructure
* Experience with cloud platforms (AWS / Azure / GCP)
* Proven ability to work with enterprise DevOps environments
* Excellent communication skills with both technical and business stakeholders
Nice to Have:
* Experience with Kubernetes / containerized CI environments
* Familiarity with compiler toolchains and caching strategies
* Background in DevTools / developer productivity / CI/CD acceleration
* Experience in performance analysis and pipeline optimization
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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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8597223
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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
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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 :)
31/03/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
This is a Senior Software Development Engineer in Test (SDET) position on our Falcon Data Protection product development team, focusing on the integration between our endpoint sensor and browser extension technology. You will own the end-to-end quality process for how the sensor and browser extension work together to deliver data protection - from hands-on exploratory testing and test strategy design through to building robust automation. As a key contributor to the team, you will drive validation for new capabilities, ensuring data protection works as expected across the full stack. Working closely with sensor, cloud, and extension development teams, you'll coordinate testing efforts, participate in technical design discussions, and lead code reviews. We're seeking a senior engineer who works independently, thrives on technical challenges, takes full ownership of quality for their domain, and contributes to a culture where quality is paramount.

Location: Hybrid - Tel Aviv, Israel

Success in this role means:

Owning the entire quality process for sensor and browser extension integration - from test strategy through hands-on testing to automation

Driving validation of new capabilities end-to-end, including test design, hands-on testing, automation, environment setup, and coordination across teams

Identifying what can and should be automated, and building that automation incrementally

Reviewing developer test code and SDET test code to raise the quality bar across the team

Collaborating both within and across teams as part of SDLC ceremonies and major initiatives

Building elegant, robust, and reliable solutions for complex technical problems

What You'll Do:

Own the quality process for sensor-browser extension integration - design and implement comprehensive test strategies, configure environments (VMs, CI/CD pipelines) and coordinate with developers and QA

Perform hands-on exploratory and manual testing of new features, then identify automation opportunities and build integration and E2E test automation

Build and maintain integration and end-to-end tests using Python, ensuring data protection features works correctly across sensor and browser extension on both Windows and macOS platforms

Review developer-written tests and SDET test code with an eye towards improving reliability, security, and maintainability

Debug cross-platform issues found through testing or customer-reported cases to identify root cause and enhance test coverage

Reproduce and validate fixes for customer-reported issues

Manage test infrastructure including CI/CD pipelines in Jenkins, ensuring fast and reliable feedback loops

Participate in SDLC ceremonies as part of major initiatives, collaborating with sensor, cloud, and extension teams

Collaborate with product and release management to control risk, improve quality, and streamline release cycles
Requirements:
7+ years of hands-on SDET/test automation development experience

Computer science degree or equivalent experience

Strong programming skills in Python

Extensive experience with:

White-box & black-box testing techniques and code review

CI/CD frameworks and testing methodologies

Experience testing across both Windows and macOS platforms

Understanding of process communication and error handling in system-level integrations

Self-driven and able to work independently with minimal supervision

Demonstrated ability to:

Design, document and implement comprehensive test strategies

Lead test initiatives and mentor team members

Work effectively in a globally distributed team

Communicate technical concepts clearly to various audiences

Proven track record in product development and release cycles
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8598637
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