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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:
You know how to create your own momentum and don't wait to be handed a process.
You've sold into the US market and are comfortable running those cycles remotely.
You generate your own pipeline. Outbound is just how you work.
You're technical enough to sell infrastructure without an SE in the room. You get LLMs, tokens and cloud deployment well enough to hold your own with a VP of Engineering.
You want to build the function, not just hit a number, but you still love the close.

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:
1-2 years of B2B sales and/or lead generation experience in DevOps.
Ability to learn technical concepts quickly.
Experienced in Cold Calling, Sales Navigator, ZoomInfo, Orum, Salesforce, Apollo.
You have a high degree of resilience, enabling you to bounce back from setbacks.
You're extremely coachable and willing to receive and implement feedback.

Requirements:
● Proven experience improving conversion rate in an e-commerce environment, agency-side or in-house.

● Hands-on A/B testing experience: you know how to design a test and read a result.

● A strong sense of customer psychology and UX logic.

● Comfortable moving between big-picture strategy and hands-on execution.

● Strong attention to detail and sharp project prioritization.

● High-level English.

Requirements:
An inspiring engineering leader who is passionate about building exceptional teams and empowering people to grow.
7+ years of software engineering experience, including several years leading engineering organizations in high-growth SaaS or cloud infrastructure companies.
Proven experience managing multiple engineering teams and developing engineering managers.
Strong technical background in distributed systems, cloud-native technologies, Kubernetes, and containerized environments, with the ability to engage deeply in technical discussions.
Experience scaling engineering organizations, processes, and product delivery through periods of rapid growth.
A track record of partnering effectively with Product and Executive leadership to deliver business impact.
A degree in Computer Science from a leading academic institution or equivalent experience, including service in an elite technological IDF unit.
A collaborative, ownership-driven leader who sets a high bar for execution while fostering a positive, high-performance engineering culture.

Requirements:
A positive individual who enjoys working with others.
An experienced software engineer with significant hands-on experience developing cloud-based applications.
4+ years of industry experience developing complex, technically demanding, large-scale systems.
A good understanding of cloud-native technologies, including container technologies and Kubernetes.
A degree in Computer Science from a top academic institution, or relevant experience as a Software Engineer in an IDF technological unit.
Someone who enjoys taking ownership and collaborating with others to build a world-class product.
The opportunity to significantly impact the company's future, working on the core product alongside top-tier engineers in a culture of innovation.

Requirements:
7+ years of hands-on backend development experience, preferably in Go or a similar language.
Proven experience as a Tech Lead or senior developer in a high-scale, production-grade environment.
Deep understanding of Kubernetes, container orchestration, and distributed systems.
Strong leadership skills, ownership, and a collaborative mindset.
A degree in Computer Science or experience from an elite IDF tech unit.
Passion for building world-class products and leading by example.
(Nice to have) Experience in cloud cost optimization or resource management.

Requirements:
8+ years of backend experience, including large-scale system design.
Strong architectural thinking and proven experience designing cloud-native, distributed systems.
Deep knowledge of Kubernetes, microservices, and Go.
Experience in high-growth startups or mission-critical infrastructure environments.
Ability to work independently and provide mentorship to engineering teams.
Strategic mindset with attention to detail and quality.
(Nice to have) Experience in cloud cost optimization or resource management.

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:
5+ years of hands-on experience in infrastructure, platform engineering, or SRE roles in high-scale distributed systems.
Hands-on experience with at least two major cloud providers (AWS, GCP, or Azure).
Solid understanding of networking, security groups, IAM, SSO/OIDC, and cloud-native security principles.
A strong ownership mentality - you don't just flag problems, you fix them
Full professional fluency in Hebrew and English.
(Nice to have) Deep expertise with Kubernetes, Helm, and Go - you understand the internals and can build on them, not just deploy.
(Nice to have) Experience with cloud cost optimization, resource management, or working at a company that sells infrastructure tooling.

Requirements:
7+ years of experience in R&D, with at least 3 years in applied research leadership roles.
Proven track record of driving research projects that turned into impactful products or technologies.
Deep expertise in one or more of: distributed systems, AI infrastructure, cloud computing, performance optimization.
Strong technical foundation (e.g., algorithms, systems design, data-intensive computing).
Experience leading research teams or groups in fast-growing companies.
Excellent communication skills and ability to bridge research with business impact.
Passion for innovation, curiosity, and pushing the boundaries of what's possible.