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לפני 2 שעות
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for a DevOps Architect to help shape the infrastructure strategy behind our Revenue AI platform. This role sits at the center of our engineering ecosystem, driving architectural direction, improving operational excellence, and enabling teams to scale with confidence. Youll work across engineering groups to identify systemic gaps, define scalable standards, and accelerate execution without becoming a delivery bottleneck.
Youll Own:
Infrastructure Strategy & Standards: Define and evolve our cloud and infrastructure architecture across Kubernetes, networking, observability, security, and data platforms. Establish clear standards and scalable best practices that enable teams to move faster with consistency and reliability.
Technical Debt & System Health Visibility: Continuously identify, prioritize, and drive resolution of cross-team technical debt, architectural gaps, and operational inefficiencies. Create organizational visibility around the most critical infrastructure challenges and opportunities.
Cross-Org Technical Leadership: Partner closely with engineering leaders and teams to influence architectural decisions, challenge assumptions, and ensure solutions are scalable, maintainable, and secure. Lead through expertise and influence, not direct ownership.
Developer Enablement & Engineering Velocity: Provide frameworks, tooling direction, and lightweight prototypes or POCs that empower teams to execute independently with higher quality and efficiency.
Critical Infrastructure Initiatives: Drive major cross-functional initiatives around reliability, scalability, security, observability, and cost optimization from identification through execution and measurable impact.
Youll Solve:
Scaling Complexity: How do we maintain simplicity, reliability, and operational clarity while supporting rapid growth and increasingly complex distributed systems.
Cross-Team Alignment: How do we create architectural consistency across independent engineering groups without slowing down innovation and execution?
Operational Excellence at Scale: How do we proactively surface and resolve systemic weaknesses before they become production issues?
Balancing Speed & Sustainability: How do we enable fast delivery today while protecting the long-term health and scalability of the platform?
AI Infrastructure Evolution: How do we build infrastructure that supports modern AI/ML workloads, GPUs, large-scale data pipelines, and future platform requirements
Youll Impact:
Platform Reliability & Scalability: Your work will directly improve the resilience, scalability, and operational maturity of our infrastructure platform.
Engineering Efficiency: By creating better standards, tooling, and architectural guidance, youll act as a force multiplier for engineering teams across the company.
Long-Term System Health: Youll help reduce operational friction, minimize technical debt, and ensure our infrastructure can support long-term business growth.
Execution Quality Across Teams: Your influence will elevate engineering quality, decision-making, and operational discipline throughout the organization.
Requirements:
A Deep Technical Expert: Someone with 8+ years of hands-on experience with AWS and cloud-native infrastructure at scale, including strong Kubernetes expertise and distributed systems knowledge.
An Infrastructure Architect: Someone with deep experience in Infrastructure as Code and GitOps methodologies using tools like Terraform, Crossplane, or Pulumi.
A Pragmatic Builder: A strong engineer with programming experience in Python or Go who can build tools, prototypes, and automation when needed.
A Systems Thinker: Someone who can identify patterns, uncover systemic issues, and drive improvements across complex technical environments.
An Influential Technical Leader: Someone with proven experience leading cross-team initiatives and driving alignment without direct authority.
This position is open to all candidates.
 
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לפני 7 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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13/05/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
The Architect leads the design and implementation of scalable AI platforms and central services for AI, creating shared capabilities, tools, and frameworks that transform how our company builds, delivers, and operates products.
Beyond architecture, this role drives strategic, high-impact projects with powerful ROI that positively disrupt operations and elevate customer outcomes, improving efficiency, innovation, and product value across the company.
Strategic Objectives:
Accelerate AI Transformation across the organization by designing and operationalizing central AI services and a unified platform framework that powers key transformation initiatives, including Agentic Workflows.
Institutionalize AI Engineering and Governance Standards through common architecture, services, and enablement frameworks ensuring scalability, security, quality, and compliance.
Deliver measurable transformation outcomes through strategic, ROI-driven projects that reshape how our companys products are built and operated, directly benefiting customers and business performance.
Drive sustainable transformation at scale, balancing rapid innovation with operational excellence and long-term maintainability.
Key Responsibilities
Architect the AI Transformation Framework
Design and own the end-to-end architecture that enables the companys AI Transformation vision - spanning data, models, pipelines, APIs, and governance layers.
Define blueprints and integration standards to embed AI and automation throughout the SDLC, from ideation to delivery.
Build Generative AI Platforms and Central Services
Lead the design and implementation of the AI Enablement Platform and central AI services powering transformation initiatives such as Agentic Workflows and the Knowledge Hub.
Create scalable, secure, and modular AI components that can be leveraged across product lines and engineering domains.
Partner with infrastructure, platform, and security teams to operationalize LLM-based services, retrieval systems, and agentic automation flows.
Drive Strategic Transformation Projects
Lead cross-functional initiatives that deliver tangible operational and business impact - improving speed, quality, and cost-efficiency across the product organization.
Develop strong business cases and ROI frameworks to prioritize and communicate transformation value at the executive level.
Translate successful outcomes into reusable playbooks and AI cookbooks that scale across teams, roles, and product domains.
Technical Leadership and Enablement
Act as the senior technical authority and coach for AI transformation initiatives, guiding teams through architecture reviews, proofs of concept, and scale-up phases.
Mentor internal architects and tech leads to develop AI-native architectural competencies.
Requirements:
10+ years in software or platform architecture, including experience leading cross-organizational transformations.
Proven track record of designing large-scale, data-driven, or AI-enabled systems.
Experience delivering projects with measurable business outcomes and ROI.
Expertise
Enterprise and cloud-native architecture (multi-tenant, microservices, API-first, distributed systems).
Deep understanding of AI/ML infrastructure, LLM integration patterns, agent frameworks, and MLOps.
Familiarity with data engineering, retrieval-augmented generation (RAG), and workflow orchestration (e.g., n8n, LangChain).
Background in cyber security or secure software design - strong advantage.
Mindset & Skills
Transformation-oriented thinker who connects technology to organizational capability and business strategy.
Excellent communicator and influencer at multiple levels (executive to technical).
Bias for action, simplification, and measurable outcomes.
This position is open to all candidates.
 
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1 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for an experienced SRE Team Lead to drive the reliability, observability, and automation practices across our private cloud infrastructure and operations. In this role, you will lead a team of site reliability engineers, own the engineering roadmap for monitoring and automation, and act as a key liaison between development, operations, and platform teams. You bring at least 3-4 years of hands-on people management experience and a deep technical background in SRE or DevOps disciplines.



What will you do?

Leadership & Team Management

Lead, mentor, and grow a team of SREs, providing technical direction, career development guidance, and day-to-day management.

Own the team roadmap for reliability, observability, and automation initiatives - prioritizing work, removing blockers, and driving delivery.

Conduct regular 1:1s, performance reviews, and hiring processes to build and sustain a high-performing team.

Foster a culture of operational excellence, blameless post-mortems, and continuous improvement.

Act as an escalation point for complex incidents and reliability issues, leading post-incident reviews and ensuring follow-through on action items.


Automation & Infrastructure

Design, develop, and maintain automation tools to support infrastructure and operations teams at scale.

Manage pipelines and infrastructure workflows using Jenkins, Ansible, Python, and Bash.

Drive the adoption of infrastructure-as-code practices across the organization.

Collaborate with system engineers to improve scalability, performance, and fault tolerance of critical systems.


Monitoring & Observability

Build and extend monitoring and alerting systems using Grafana, the ELK (Elastic) stack, Zabbix, and custom scripts.

Implement and enforce observability best practices to ensure full visibility into systems, applications, and infrastructure.

Define and track SLIs, SLOs, and error budgets across key services.

Partner with development teams to embed observability earlier in the software development lifecycle.


Database & Platform Support

Support monitoring and infrastructure integration for databases including MongoDB and PostgreSQL.

Maintain documentation and champion knowledge sharing around automation, monitoring, and reliability practices.
Requirements:
What you need:

Experience & Leadership

3-4+ years of experience in a people management or team lead capacity within SRE, DevOps, or infrastructure engineering.

5-8+ years of overall experience in SRE, DevOps, or infrastructure automation roles.

Proven track record of building, coaching, and retaining high-performing engineering teams.

Experience owning an engineering roadmap and driving cross-functional reliability initiatives.



Technical Skills

Strong scripting skills in Python and Bash; comfortable building and maintaining production-grade automation.

Hands-on experience with infrastructure automation tools, particularly Ansible.

Solid experience with monitoring and observability platforms - ELK stack, Grafana, and Zabbix.

Good understanding of CI/CD pipelines and related tooling, including Jenkins.

Familiarity with managing and monitoring MongoDB and PostgreSQL in a production environment.

Comfortable working in Linux-based environments.

Excellent problem-solving skills and strong written and verbal communication.



Ability to support the following:

Experience with cloud providers - AWS, GCP, or Azure.

Exposure to containerization technologies such as Docker and Kubernetes.

Familiarity with infrastructure provisioning using Terraform.

Experience introducing SRE practices (SLOs, error budgets, chaos engineering) at an organizational level.

Exposure and experience with migrating/ building AI tools to improve process.
This position is open to all candidates.
 
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23/04/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
we are looking for a Software Architect.
The Software Architect role involves defining, leading, and evolving the technical architecture of our flagship product. Youll be the driving force behind critical architectural decisions, ensuring our systems are scalable, reliable, and secure. This is a hands-on leadership role where youll balance long-term architectural vision with the immediate needs of delivery.
Beyond designing robust solutions, youll play a key role in shaping our engineering culture. Youll provide technical guidance across the entire software development lifecycle, and collaborate closely with cross-functional teams, including DevOps, QA, Automation, Product, Support, Sales, and Engineering leadership.
Key Responsibilities:
Define and evolve the technical architecture of our product across its SaaS, client-server, and multi-OS deployments.
Ensure the scalability, security, performance, and maintainability of our microservices-based systems.
Lead the technical design and execution for new features, from initial concept to final deployment.
Collaborate with DevOps on containerization, orchestration, and advanced CI/CD pipelines (e.g., Docker, Podman, Kubernetes).
Partner with QA & Automation to guarantee testability, resilience, and high-quality delivery.
Work closely with product teams to translate business requirements into robust technical solutions.
Mentor and provide technical guidance to developers, team leaders, and group leaders to foster a strong engineering culture.
Drive the adoption of architectural best practices in code quality, design patterns, and system integration.
Collaborate with Support & Sales to understand customer needs and inform architectural improvements.
Serve as the technical authority for governance, reviewing designs, enforcing architectural guidelines, and ensuring consistency across all engineering teams.
Requirements:
Motivation & Attitude: Motivated, a self-learner and a team player with a can-do attitude.
Proven Experience: Demonstrated experience as a Software Architect or Engineer in a SaaS or cybersecurity environment.
Architectural Expertise: Deep expertise in microservices architecture, large-scale distributed systems, and designing for scalability and security.
Technical Stack:
Languages: Strong background in C# and Python. Experience with TypeScript (Angular) is a plus.
Data: Hands-on experience with PostgreSQL, Elasticsearch, and Redis, including its use for caching and pub/sub.
Containerization: Solid understanding of containerization and orchestration using Docker, Podman, and Kubernetes.
Deployment Knowledge: Experience with multi-OS and high-scale client-server deployments.
Security & Certificate Technology: Deep understanding of secure communication protocols (SSL/TLS) and hands-on experience with digital certificate management, key rotation, and secure credential storage.
Leadership & Collaboration:
Exceptional collaboration and communication skills, with a track record of working effectively across cross-functional teams (Product, DevOps, QA, Support, Sales).
Strong leadership and mentorship abilities, including a history of shaping engineering culture.
Education: A Bachelors or Masters degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
This position is open to all candidates.
 
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06/05/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
As a Sr. Principal Architect, you will serve as the technical cornerstone for a high-impact engineering group that encompasses both our Email Security and Broker Platform teams. This is a unique dual-scope role: you will oversee the architecture of a brand-new, cutting-edge email security solution while simultaneously guiding the evolution of our high-scale Broker Platform - the backbone that enables seamless data integration and communication across the entire Cortex ecosystem. You will be responsible for the architectural synergy between multiple domains, ensuring that our security detection engines and our data orchestration layers are built for massive scale (billions of events per second), high availability, and ironclad security. Operating out of our TLV office, you will drive the long-term technical roadmap, navigate complex "cross-team" dependencies, and instill a culture of architectural rigor. You aren't just building a product; you are building the foundation upon which the worlds leading cyber-security products integrate and operate.
Key Responsibilities
Align the architectural goals of the Email Security and Broker Platform teams, ensuring unified standards for data ingestion, processing, and threat detection.
Take ownership of the Broker Platforms scalability, ensuring it can support the explosive growth and diverse data requirements of the Cortex suite.
Drive the "Zero to One" architecture for new email security offerings, ensuring they leverage the full power of our platform infrastructure.
Lead technical "RFC" (Request for Comments) reviews, making critical decisions on tech stacks, data modeling, and distributed system patterns.
Act as the bridge between engineering, product, and site reliability (SRE) to ensure that architectural designs translate into operational excellence.
Requirements:
10+ years of hands-on Software Engineering experience, with 2+ years in a Principal or Architect role leading multi-team technical strategies.
Proven experience building SaaS products alongside deep knowledge of message brokers and infrastructure.
Experience architecting systems that handle multi-region, large workloads with extreme throughput requirements.
Expert-level knowledge of cloud-native ecosystems (AWS, GCP, or Azure) and container orchestration at scale (Kubernetes).
Proficiency in Golang and Python, with a deep understanding of low-level performance tuning and concurrency models.
B.Sc. or M.Sc. in Computer Science or Software Engineering, or leadership experience in elite military technology units.
This position is open to all candidates.
 
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5 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a seasoned and execution driven DevOps Team Lead. In this role you will drive the evolution of our infrastructure and cloud operations empowering our entire R&D organization. You will lead fully the DevOps aspects of the company including strategic infrastructure management within a multi-cloud environment. In this role you will leverage cutting-edge AI technologies to accelerate important DevOps flows. As a technical lighthouse, you will set the standard for engineering excellence, cloud-native architecture, and operational scale. You will work in a global environment with highly-skilled engineering teams reporting to the VP R&D.



What Youll Do?

Build and lead a strong DevOps team fostering a culture of ownership, collaboration, and technical excellence.
Take end-to-end leadership and project management of large-scale cloud infrastructures, driving technical decisions, execution, and outcomes.
Continuously modernize DevOps practices (CI/CD, GitOps, monitoring etc) to drive efficiency, agility, and performance across the organization.
Use AI-powered tools and agentic workflows to improve R&D efficiency.
Design and maintain cloud environments using Infrastructure as Code.
Our stack - Mainly GCP and AWS, Kubernetes, Terraform, Terragrunt, Node.js, Golang and more
Requirements:
Proven success record managing DevOps team(s) in hyper growth tech companies.
Hands-on and expertise in AWS or GCP production environments at scale.
Hands-on and expertise in Kubernetes and managing large scale Prod+Dev environments.
Experience with FinOps and cloud cost optimization.
Experience in backend micro-services / API development.
A proactive Can-Do attitude and a drive to build something new.
This position is open to all candidates.
 
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1 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for an experienced SRE Engineer to drive the reliability, observability, and automation practices across our private cloud infrastructure and operations. In this role, you will be in a team of site reliability engineers, own the engineering roadmap for monitoring and automation, and act as a key liaison between development, operations, and platform teams. You bring at least 4+ years of hands-on people management experience and a deep technical background in SRE or DevOps disciplines.

What will you do?

Automation & Infrastructure
- Design, develop, and maintain automation tools to support infrastructure and operations teams at scale.
- Manage pipelines and infrastructure workflows using Jenkins, Ansible, Python, and Bash.
- Drive the adoption of infrastructure-as-code practices across the organization.
- Collaborate with system engineers to improve scalability, performance, and fault tolerance of critical systems.

Monitoring & Observability
- Build and extend monitoring and alerting systems using Grafana, the ELK (Elastic) stack, Zabbix, and custom scripts.
- Implement and enforce observability best practices to ensure full visibility into systems, applications, and infrastructure.
- Define and track SLIs, SLOs, and error budgets across key services.
- Partner with development teams to embed observability earlier in the software development lifecycle.

Database & Platform Support
- Support monitoring and infrastructure integration for databases including MongoDB and PostgreSQL.
- Maintain documentation and champion knowledge sharing around automation, monitoring, and reliability practices.
Requirements:
What you need:

4+ years of overall experience in SRE, DevOps, or infrastructure automation roles.

Strong scripting skills in Python and Bash; comfortable building and maintaining production-grade automation.

Hands-on experience with infrastructure automation tools, particularly Ansible.

Solid experience with monitoring and observability platforms - ELK stack, Grafana, and Zabbix.

Good understanding of CI/CD pipelines and related tooling, including Jenkins.

Familiarity with managing and monitoring MongoDB and PostgreSQL in a production environment.

Comfortable working in Linux-based environments.

Excellent problem-solving skills and strong written and verbal communication.


Ability to support the following:
Experience with cloud providers - AWS, GCP, or Azure.
Exposure to containerization technologies such as Docker and Kubernetes.
Familiarity with infrastructure provisioning using Terraform.
Experience introducing SRE practices (SLOs, error budgets, chaos engineering) at an organizational level.
Exposure and experience with migrating/ building AI tools to improve process.
This position is open to all candidates.
 
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13/05/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-centric technology, representing the pinnacle of computer vision, machine learning, and generative AI within the automotive sector. With over $380M in funding and strategic partnerships with industry giants such as Toyota, Amazon, General Motors, Volvo, and Hertz, our technology is utilized in manufacturing plants, dealerships, wholesale auctions, delivery fleets, seaports, and more. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity, encourages teamwork, and strives for excellence.
We are looking for a driven, systems-minded Release Engineer to join our AI-Ops team. In this role, you will be the execution layer of our delivery pipeline—the technical gatekeeper who owns the safe, predictable deployment of software and AI models to global edge and cloud systems. You will balance high-speed deployment velocity with rock-solid operational stability. But you won't just be deploying code; you'll be acting as an internal project manager, driving our organizational roadmap by building Agentic AI tools and automating processes to scale our delivery capabilities continuously.
A day in the life and how you’ll make an impact:
* Act as the technical gatekeeper, validating and transitioning versions through strict release gates. Enforce rigorous governance and ensure strict "Definition of Done" criteria are met.
* Lead risk-mitigated rollouts across diverse global hardware environments.
* Monitor real-time deployment performance, Quality of Service (QoS), and algorithmic accuracy, making decisive, crisis-resilient calls to proceed, pause, or rollback to prevent regressions.
* Define and execute comprehensive test plans that verify cross-team dependencies. Validate that new versions meet detection accuracy requirements without degrading infrastructure.
* Triage complex production failures. Look beyond immediate issues to identify root causes using system metrics, logs, and container states, delivering actionable evidence to R&D.
* Build and integrate Agentic AI and LLM-based tools to accelerate log analysis, risk assessment, and deployment troubleshooting.
* Architect automated workflows to eliminate manual overhead and enhance system observability with robust monitors and dashboards.
Requirements:
* 2+ years of experience in Release Engineering, DevOps, QA, or a similar operations-centric role.
* Strong systems-level troubleshooting skills with the ability to analyze data, system metrics, logs, and container states.
* Demonstrated ability to maintain decisive control and make smart risk-management decisions during live, high-stakes deployments.
* Experience enforcing data integrity and process governance using Jira or similar issue-tracking tools.
Bonus if you have:
* Experience building or integrating AI, LLMs, or Agentic workflows into operational tooling.
* Familiarity with deploying software to both cloud environments and distributed edge hardware.
* Experience with performance benchmarking (throughput, bandwidth, algorithmic accuracy).
* Prior experience acting as a project manager for internal engineering initiatives or tools
Why UVeye: Pioneer Advanced Solutions: Harness cutting-edge technologies in AI, machine learning, and computer vision to revolutionize vehicle inspections. Drive Global Impact: Your innovations will play a crucial role in enhancing automotive safety and reliability, impacting lives and businesses on an international scale. Career Growth Opportunities: Participate in a journey of rapid development, surrounded by groundbreaking advancements and strategic industry partnerships
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8649166
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מודים לך שלקחת חלק בשיפור התוכן שלנו :)
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Hands-On Software Architect to join our architecture group and work alongside some of the most experienced engineers in the industry.

As a Hands-On Architect, you will actively design, build, and evolve large-scale software systems, set technical direction, and work day-to-day with development teams, product, and other stakeholders to deliver reliable, scalable solutions.

If you are passionate about making real impact, enjoy solving hard problems end-to-end, and thrive in distributed systems that process billions of events per day, wed love to talk.

What Youll Do
Lead the design and implementation of complex, distributed software systems in production.
Work closely with developers, product owners, and stakeholders to translate business needs into practical, scalable architectures.
Define and drive engineering standards: architecture patterns, coding standards, testing strategies, and operational best practices.
Stay hands-on: write code, review code, and participate in technical problem-solving across teams.
Mentor and coach developers and tech leads, raising the overall technical bar.
Review designs and implementations to ensure solutions are high-quality, maintainable, and resilient.
Continuously evaluate new technologies and approaches, recommending improvements where they provide clear value.
Be involved in production systems: deployments, observability, performance tuning, and incident analysis.
Requirements:
8+ years of experience in software development, system design, and architecture roles.
Strong hands-on experience with modern backend technologies such as Java and/or Python.
Practical experience with containerized and cloud-native systems (Docker, Kubernetes, AWS / Azure / GCP).
Experience designing and operating distributed systems, including messaging or streaming platforms (e.g., Kafka, RabbitMQ, Spark).
Solid understanding of distributed databases (and non-distributed) such as Postgres, Cassandra, SingleStore, Clikhouse or similar technologies.
Deep knowledge of engineering best practices: CI/CD, DevOps, testing, security, and agile development.
Proven experience working with production environments, including deployment pipelines, monitoring, and troubleshooting.
Strong problem-solving skills and the ability to balance ideal architecture with real-world constraints.
Natural technical leadership: able to influence, mentor, and collaborate without relying on authority.
Excellent communication skills and the ability to work effectively across teams.
B.Sc. or M.Sc. in Computer Science, Software Engineering, or equivalent practical experience.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8633945
סגור
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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 :)
05/05/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
As a Senior DevOps Engineer supporting our Cortex Research Group, you will lead all DevOps and infrastructure initiatives that empower our researchers to move quickly, securely, and reliably. You will be responsible for designing, building, and maintaining the groups cloud environments, ensuring scalability, stability, and performance across a wide range of experimental and production workloads. Youll serve as the primary point of contact between the Research Group and other critical stakeholders-including Security, Networking, and Compliance teams-ensuring that research projects align with organizational standards while still enabling rapid innovation.
Key Responsibilities
Own and evolve the Research Groups cloud infrastructure and CI/CD pipelines to enable reproducible, automated, and scalable experimentation.
Define and implement standards for infrastructure-as-code, observability, monitoring, and resource optimization tailored to research use cases.
Proactively collaborate with security and compliance teams to enforce best practices for data governance, access controls, and regulatory requirements.
Partner with networking and platform engineers to integrate research workloads into the broader company ecosystem, ensuring seamless operation.
Serve as the primary technical liaison between the Research Group and stakeholders like Security, Networking, and Platform teams.
Mentor engineers and researchers on DevOps best practices, helping to instill a culture of operational excellence and applied learning.
Requirements:
Your Experience:
5+ years of demonstrated experience in a DevOps, Site Reliability Engineering (SRE), or cloud infrastructure role.
Strong proficiency with infrastructure-as-code (IaC) tools such as Terraform or Ansible.
Hands-on experience building and maintaining CI/CD pipelines using tools like Jenkins, GitLab CI, or GitHub Actions.
In-depth knowledge of at least one major cloud provider (GCP, AWS, Azure).
Preferred Qualifications
Experience with containerization and orchestration technologies, particularly Docker and Kubernetes.
Proficiency in a scripting or programming language such as Python or Go.
Familiarity with monitoring and observability tools like Prometheus, Grafana, or the ELK stack.
Experience supporting machine learning or research-focused environments.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8638096
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