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Requirements:
10+ years in DevOps, SRE, or Infrastructure Engineering, with a proven track record of scaling systems by an order of magnitude or more - not just operating at a scale someone else built.
Led engineering teams at least twice, and led team managers at least once; at least two of those stints at strong, high-growth technology companies through a scale-up from roughly 50 to 200+ employees.
Deep, hands-on credibility in cloud architecture, Kubernetes, and Infrastructure as Code, across AWS and at least one other major provider (Azure, GCP, or Oracle) - enough to guide and challenge the team's technical decisions directly.
Proven ownership of FinOps / cloud cost strategy at meaningful scale, with a concrete result you can point to.
Direct experience owning security posture and compliance (SOC 2 / ISO 27001 or equivalent) as an infrastructure leader, not just partnering with a security team.
Experience negotiating and managing vendor and infrastructure contracts.
A clear, current point of view on AIOps and using AI to improve the SDLC - and something you've actually built or adopted, not just a talking point.
Combines strategic ownership with hands-on depth - equally comfortable setting a three-year infrastructure roadmap and reviewing the architecture underneath it.
Bonus: high-egress, high-throughput infrastructure (proxy networks, browser farms, crawling/scraping, CDN) or a data/API/usage-based product where infrastructure cost is the gross margin.
Fluent Hebrew and English.

Requirements:
Qualifications:

Bachelor's degree in Computer Science or equivalent experience.

5+ years of experience in DevOps/Software Engineering working in one or more of the big public clouds (AWS / Azure / GCP).

3+ years of experience managing Infrastructure-as-Code (Terraform / AWS CDK / CloudFormation).

Basic understanding of Cloud Networking concepts (VPC peering, Subnetting, Load Balancing, DNS).

Familiarity with Kubernetes components (Control Plane, Worker Nodes, ETCD) and standard maintenance routines (upgrades, scaling, node patching).

Knowledge of AWS common best practices-design, implement, and maintain scalable and reliable cloud infrastructure solutions.

Hands-on coding/scripting skills in TypeScript/Python/Golang and Linux Bash.

Experience with microservices methodology, Git, and CI/CD (preferably GitHub Actions & ArgoCD).

Experience maintaining infrastructure that requires high availability and security.

Strong written and verbal communication skills in both English and Hebrew.


Advantages:

Experience setting up Kubernetes clusters from scratch.

Experience with Helm and Service Mesh technologies (e.g., Istio).

Experience with observability platforms (e.g., Datadog, ELK, CloudWatch, Prometheus/Grafana).

Experience developing Kubernetes Operators.

Familiarity with Crossplane.

Requirements:
Proven experience in software development, technical product management, or advanced technical support within complex infrastructure environments.
Demonstrated experience with storage technologies and protocols such as NFS, S3 (object storage), SMB, and familiarity with enterprise storage architectures and distributed file systems.
Strong hands-on experience with Linux, Python, and networking concepts (TCP/IP, routing, switching, large-scale deployments).
Ability to analyze and solve complex technical challenges in scale-out Linux environments, HPC workloads, AI training infrastructures, and advanced networking architectures.
Experience collaborating across cross-functional teams - Engineering, QA, and Support - using industry-standard tools such as Jira, Slack, GitLab, Git, unit testing frameworks, and QTest.
Strong analytical skills with the ability to leverage telemetry, usage data, and customer insights to guide product decisions and prioritize effectively.
Experience working with observability and data platforms, including time-series databases (e.g., Prometheus), multi-tenant log aggregation systems, Slack and Salesforce integrations, and AI-driven automation workflows - a strong advantage.
Familiarity with scripting and automation using Python, REST APIs, OpenTelemetry (OTEL), and Bash to improve operational efficiency and supportability.
Excellent communication skills, with the ability to bridge technical depth and customer-facing clarity.
A proactive, customer-first mindset with strong ownership and accountability.

Requirements:
You've built and run backend or infrastructure systems in production, owned them end to end, and care about latency, correctness, and observability.
You're comfortable in the request hot path. Concurrency, streaming, tail latency and failure modes are things you reason about by default.
You've shipped to cloud environments and can build something that installs cleanly in someone else's.
You're strong in TypeScript/Node, which is our stack, or fluent enough in a systems language that picking it up is quick.
You already build AI-native. Coding agents and LLM tooling are part of how you ship.
You understand, or want to go deep on, LLMs, tokens, and how model APIs actually behave.

Requirements:
Strong TypeScript, and a few years of shipping code you still owned afterwards.
You've shipped client-side software onto machines you couldn't reach: a desktop app, CLI, agent, installer, or IDE extension.
You're careful with other people's state: atomic writes, idempotency, and a clean rollback when something fails halfway.
You'll pick up the Windows bug, not just the Mac one.
You write tests, and you can debug from logs and a screenshot with no shell on the box.
You already build with AI coding tools.

Requirements:
What You Bring
5+ years in a customer-facing or partner-facing technical role: Solutions Architect, Solutions Engineer, Partner Solutions Architect, Technical Account Manager, or platform engineering with significant external exposure. Time inside AWS/GCP in an SA, PSA, or TAM role is ideal.
Deep, current Kubernetes expertise. Not conceptual. You have run or architected production Kubernetes, and you can go deep on scheduling, autoscaling, requests and limits, resource contention, and what Karpenter does and does not solve. If your hands-on work was a decade ago, this is not the role.
Strong working knowledge of EKS/GKE specifically, and of the AWS/GKE compute stack around it: EC2, instance families, Spot, and GPU instances.
Real experience with the cloud-native ecosystem: containers, Helm, operators, GitOps, observability, and the operational realities of running Kubernetes at scale.
Demonstrated ability to work directly with software engineers as a peer. You can hold a design conversation, understand a trade-off, and carry it accurately to a third party.
Ability to translate in both directions: engineering constraints into partner-facing language, and partner requirements into scoped engineering work.
Excellent written and spoken English, including with executive audiences.
Self-starter with strong ownership and follow-through. This role succeeds or fails on things actually shipping.

Nice to Have
Hands-on experience with GPU workloads on Kubernetes: inference serving, vLLM, MIG, time-slicing, device plugins, or Dynamic Resource Allocation.
Experience taking a product through AWS technical validation, a Foundational Technical Review, or a service integration with an AWS service team.
Familiarity with AWS/GCP Marketplace mechanics: container and SaaS listings, the metering and entitlement APIs, private offers, and free trials.
Experience as a launch partner on a cloud provider product release.
Contributions to Kubernetes or CNCF projects, or a public technical presence such as talks, blog posts, or open source work.
Familiarity with AWS competency requirements.

Requirements:
7+ years of experience in engineering, systems research, or large-scale infrastructure roles.
Deep knowledge of Kubernetes internals, containerization, cloud infrastructure, and resource orchestration.
Hands-on coding experience in Go, Python, or other systems-level programming languages.
Strong analytical and research skills, with a track record of building and delivering innovative POCs.
Ability to thrive in uncertainty, take ownership of technical domains, and drive projects end-to-end.
Excellent written and verbal communication skills.
(Nice to have) Background in cloud cost optimization, scheduling, or autoscaling.
(Nice to have) Published technical research artifacts.
(Nice to have) Experience presenting on technical stages.
(Nice to have) Machine learning experience (e.g., time-series models, LLMs).
(Nice to have) Prior security research experience.

Requirements:
4+ years as a DevOps Engineer, Platform Engineer.
Strong hands-on AWS- EKS, EC2, VPC, IAM, S3, Lambda, CloudFormation/CDK, WAF.
Deep Kubernetes knowledge- cluster architecture, networking, and real production debugging. Helm authoring is a must, not a nice-to-have: our charts are the product our customers install.
Infrastructure as Code- Terraform, CloudFormation, or equivalent, with a real automation mindset.
CI/CD ownership- GitHub Actions (preferred), Jenkins, or similar, including release and artifact pipelines.
Docker and container packaging- multi-service images, registries, and distribution to environments you don't control.
Strong scripting and automation- Python and Bash.
Monitoring and observability- Prometheus, Grafana, OpenTelemetry, DataDog, Coralogix, CloudWatch, or similar.
Excellent English, written and spoken, and genuine customer-facing skills - you can lead a technical call with an enterprise customer's infra and security team, explain an architecture clearly, and stay calm when a deployment is blocked.
Proven track record running highly available, production-grade, service-oriented systems.

Requirements:
Bachelor's Degree in Computer Science, Software Engineering, Information Technology OR Vocational Education in Information Technology or equivalent.
You have 2+ years of manual software QA experience, preferably within backend, infrastructure, enterprise, or server-side systems, including hands-on experience testing complex backend systems and integrations; or at least 4 years of relevant experience if you hold vocational education in Information Technology.
You hold an ISTQB Foundation Certification.
You have hands-on experience with Windows, Windows Server, Windows Services, IIS, web services, and troubleshooting system or connectivity issues.
You understand basic networking concepts such as TCP/IP, DNS, ports, firewalls, and client-server communication.
You have experience using troubleshooting tools such as logs, Event Viewer, PowerShell, or network diagnostic tools.
You have scripting experience with Python, PowerShell, or a similar language.
You bring strong analytical, troubleshooting, communication, and collaboration skills.
Preferred: experience with Kafka, message brokers, event-driven architecture, databases, CI/CD, automated testing, or monitoring tools.
Preferred: experience with Wireshark, crash dump analysis, production incident investigation, DICOM, HL7, TLS/security protocols, or regulated healthcare software.

Requirements:
A Foundation in Engineering Leadership: 10+ years of technology experience, including a significant background in software engineering, solutions architecture, and DevSecOps/DevOps/SRE, with a deep understanding of how modern applications are designed, built, and deployed.
People Management Experience: 3+ years directly managing or formally leading technical teams, ideally including senior architects or principal-level engineers, with a track record of hiring, developing, and retaining strong technical talent.
Financial Services / Multi-Entity Experience: Prior experience providing security advisory in regulated environments, multi-entity corporate structures, or financial technology platforms is preferred.
Deep Application Security Expertise: 5+ years in application, product, or cloud security architecture, with the ability to evaluate and guide architectural mitigations for OWASP Top 10 and design-level vulnerabilities in a microservices architecture.
Cloud Security Architecture: Demonstrated experience defining architecture patterns and conducting security assessments in cloud-native platforms, specifically Google Cloud Platform (GCP); familiarity with AWS or Azure is beneficial.
Expertise in Securing Distributed Systems: Strong understanding of security design patterns for microservices architectures, containerized environments (Kubernetes), and event-driven systems, including API gateways, service mesh concepts, secrets management, and network policies.
Pragmatic Threat Modeling Expertise: Proven background leading and overseeing architectural threat modeling exercises (e.g., STRIDE or similar frameworks) across cloud-native and distributed environments, and translating theoretical threats into actionable architecture guardrails and engineering requirements.
Emerging Technologies: Familiarity with secure architecture considerations for Generative AI integration, agentic workflows, and modern data platform architectures.
Excellent Communication and Influence: Exceptional ability to articulate complex technical risks and solutions to both senior engineers and executive stakeholders to drive consensus and prioritization.
Budget and Vendor Management: Experience managing team budgets and evaluating security tooling or vendor relationships is a plus.
Relevant security, application security, and security architecture certifications (e.g., CISSP, CSSLP, GIAC) are beneficial.

Requirements:
5+ years of experience in software engineering with a focus on AI-driven or autonomous systems.
Proven track record of deploying AI models or agents in production environments.
Technical Skills:
Proficiency in Python.
Databases: Proficiency in SQL (PostgreSQL, MySQL) and NoSQL (e.g. Document DB, Vector DB).
Cloud: Experience deploying large scale production applications on AWS, GCP, or Azure.
Security: Understanding of OAuth2, JWT, and best practices for securing systems.

Requirements:
5+ years of experience as a frontend, fullstack, or software engineer.
Proven experience building production-grade web applications, preferaby in AI-driven or data-intensive environments.
Experience working in early-stage startup environments is a plus.
Technical Skills
Frontend
Proficiency in modern frontend frameworks such as React, Vue, Svelte, or Angular (bonus for React or Svelte).
Strong skills in TypeScript, JavaScript, HTML, CSS.
Experience with UI/UX best practices and responsive design.
Backend
Experience building APIs using Node.js Strong understanding of REST/GraphQL API design.
Experience with SQL (PostgreSQL, MySQL)
Experience with CI/CD pipelines for automated testing and deployment.

Requirements:
5+ years of experience in backend or infrastructure engineering, ideally supporting production AI/ML systems or high-throughput data pipelines.
Proven track record of building and scaling infrastructure in production environments.
Technical Skills:
Proficiency in Python.
Databases: Proficiency in SQL (PostgreSQL, MySQL) and NoSQL (e.g. Document DB, Vector DB).
Cloud: Deep experience deploying and scaling large production applications on AWS, GCP, or Azure.
Containerization and orchestration: Docker, Kubernetes.
Security: Strong understanding of OAuth2, JWT, and best practices for securing distributed systems.

Requirements:
6+ years of professional experience building and scaling web applications.
Strong proficiency in modern Frontend frameworks (e.g., React, Vue, or Angular) and advanced CSS/HTML.
Professional experience with server-side technologies (e.g., Node.js, Python, or Go) and API design.
Experience with relational and non-relational data modeling and database optimization.
Demonstrated ability to contribute to architectural discussions and understand system-wide implications of technical choices.
Strong understanding of cloud-native architectures, containerization (Docker/K8s), and automated CI/CD workflows.
Experience with developing services and APIs in a cloud based microservices ecosystem.
Advanced analytical thinking with the ability to navigate high-level ambiguity and technical complexity.
Strong communication skills, capable of articulating technical decisions to both technical and non-technical stakeholders.
A natural inclination for ownership, proactive problem-solving, and driving technical initiatives to completion.

Requirements:
- 4+ years shipping production frontends on complex SaaS products.
- Expert React + TypeScript. Comfortable with modern state (Zustand, Jotai, TanStack Query, Redux Toolkit).
- Strong CSS craft - Tailwind, CSS-in-JS, design tokens, responsive and dense layouts.
- Experience with visual/canvas-heavy UIs - React Flow, XYFlow, d3, custom canvas/SVG.
- You care about UX the way a backend engineer cares about p99 latency.
Nice to Have:
- Next.js (App Router), server components, streaming, Suspense.
- Realtime stacks (WebSockets, WebRTC, Yjs, Liveblocks).
- Experience building workflow/automation/no-code builders (Zapier, Make, n8n, Retool, Airtable, Monday).
- Open-source contributions.