Low Level Engineer (AI Native)

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8767827

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לפני 19 שעות

Senior Low Level Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

A sensor runs on every customer machine, takes inventory of the software and AI tools in use, sends that back over an encrypted channel, and enforces policy locally. It runs as a service on Windows and a daemon on macOS, with the access and the responsibility that come with running as SYSTEM and root. This role owns the hard parts of it.

What you'll work on

The sensor itself: software inventory, secure telemetry, and on-device policy enforcement, on both Windows and macOS.

Real OS work. On macOS that means Launch Services, Spotlight, IOKit, the Security framework, and Open Directory. On Windows it means services, ETW, WMI, the registry, and WinSock.

The policy enforcement point: evaluating rules over events (including AI-tool use and browser extensions) against a policy engine, and talking to the backend that makes the decisions.

Encrypted logging and telemetry, crash handling and symbolication, and the recovery path that keeps the agent running and hard to tamper with.

Signed installers and macOS configuration profiles.

Tech you'll work with

The work is low-level systems development in Rust, close to the operating system across Windows, macOS, and Linux - memory, processes, files, and the OS internals that expose them. Alongside that, you'll lean hard on agentic coding tools; deep fluency with at least one is central to how we work, not a bonus. Expect to range across the stack - OS internals, AI tooling internals, CI, and a fair amount of reverse engineering - and to learn the parts you don't know yet.

Requirements:
Several years of systems programming in Rust, C, or C++, working close to the OS.

Hands-on experience with the internals of at least one of Windows or macOS (services or daemons, process and file APIs, security frameworks), and the willingness to learn the other.

Care with correctness and failure handling. This code runs as root and SYSTEM, and it can't crash on a customer's machine.

Comfort with concurrency, IPC, and debugging problems that only show up on real hardware.

This position is open to all candidates.

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8767825

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לפני 19 שעות

Full Stack Engineer (AI Native)

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We're hiring for leverage, not years. If you can wield agentic coding tools better than most senior engineers - and you've shipped real, working software with them - we want to talk, regardless of how long you've been doing this or where you learned it. This role is designed for someone earlier in their career who, armed with the right tools and the judgment to use them, delivers like someone far more senior.

You'll work across the whole stack: a single feature might run from a Drizzle schema change, through a Hono endpoint, to a new React screen. The agentic toolchain is how you cover that ground - but the judgment to review, verify, and take responsibility for what the tools produce is what makes it work.

What you'll work on

Full, thin vertical slices - backend to frontend - shipped behind previews and a merge queue.

Extending and hardening our agentic-dev toolchain: skills, workflows, and MCP servers the whole team relies on.

Whatever's highest-leverage that week - you'll move across the codebase more than most.

Requirements:
Demonstrated, shippable output built with agentic tools. A portfolio, GitHub, or side projects that actually work - this counts more than any credential.

Deep, hands-on control of at least one agentic coding tool: you write your own skills and commands, build MCP servers, orchestrate multi-agent work, engineer context deliberately, and know precisely when to trust the model and when to verify.

The judgment to review AI-generated code critically. You catch the subtle bug the model slipped in, and you can explain why it's wrong - you don't merge what you can't stand behind.

Solid fundamentals and real debugging chops. When the agent gets stuck, you don't.

Curiosity across the stack. You're comfortable being full-stack precisely because these tools extend your reach.

This position is open to all candidates.

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8767831

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חברת השמה / כח אדם

28/06/2026

Principal AI Engineer (Prisma Browser - Agents Platform)

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

The Prisma Browser group is building an agentic development lifecycle, an infrastructure of autonomous agents that work alongside our engineers to accelerate and improve how we build software. Our goal is to ship faster, with higher quality, and to continuously tighten the feedback loop between what the agents produce and what engineering actually needs. Over time, this system should compound: every improvement makes the next one easier to reach.
Prisma Browser is an enterprise secure browser used by some of the largest organizations in the world. It's a complex, multidisciplinary product spanning browser core, frontend, extensions, and backend services, and it runs at scale for customers who need it to always work. The bar for what we ship is high. That means whatever agentic infrastructure we build has to meet the same standard. We're not here to vibe code our way to production.
We're looking for an AI Engineer with a product builder's mindset. You have real experience with AI and agentic workflows, and you know how to take a complex project from idea to adoption, technically and organizationally. That means working across teams, aligning with security, infrastructure, and other engineering groups, and understanding that building the system is only half the job. Getting people to trust it is the other half.
We aren't looking for a conventional senior developer; we need someone whose mindset is adapted to technical challenges that didn't even exist 18 months ago.

Requirements:
Your Impact
Design and implement automated evaluation loops, static analysis, and rigorous quality gates to ensure the ADLC process doesn't just write code, but consistently produces great, production-ready code.
Help the team tackle complex, hard problems to elevate our autonomous development product from "good" to "excellent".
Lead complex initiatives in Context Engineering and Prompt Engineering.
Manage and orchestrate the complex ecosystem of autonomous agents utilized for internal development.
Serve as a leading individual in a very strong team professionally and personally - Were looking for someone who not only delivers his own work but improves that of those around them.
Find space for growth to push the entire team or group forward - New projects, changing processes or improving existing tools.
View prompt engineering as a core engineering discipline-where rewriting agent behavior is a versioned, reviewed, and tested code change.
Act with a debugging temperament; conduct deep-dive analyses of raw agent transcripts to diagnose non-deterministic failures and ascertain root causes instead of merely working around them.
Your Experience
At least 8+ years of experience in software development, architecture, or owning operational systems in production.
Computer Science B.Sc. or equivalent education or equivalent military experience required.
A product builder's mindset: you can extract requirements, talk to stakeholders, and tell the difference between what's important and what's noise.
Experience in building production grade agents. Deep understanding of the agent loop, its states and transitions. You know how to build it correctly, not just use it.
Positive can-do mindset, able to work independently and within a team.
Hands-on experience with LLM APIs, including a practical, highly-skeptical understanding of token costs, caching, context windows, and model failure points.
You know how to build the right context for a task, including memory systems, session storage, and vector databases.
You understand where LLMs fail and how to design around those failure points.
You've used traces or observability tooling to diagnose and improve agent behavior.
A systems-level background that touches reliability, observability, or platform engineering, with a strong preference for writing narrow, deterministic code over building hypothetical abstractions.
Experience in the cybersecurity space - an advantage.

This position is open to all candidates.

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8713873

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02/07/2026

AI Engineer, Exposure Management 25674

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We're looking for an AI Engineer who is equal parts builder, enabler, and visionary.
This is a rare opportunity to join a small, elite team at the ground floor and have outsized impact on how AI is designed, built, and shipped across a globally recognized cybersecurity platform.
If you thrive at the intersection of cutting-edge AI research and real-world production systems and you want your fingerprints on something that matters - read on.
Why Join Us?
Greenfield opportunity - you're not joining a mature team with fixed patterns, you're helping define them.
Real impact at scale - your work will influence products used by thousands of organizations worldwide.
A team of great people - small, senior, and genuinely collaborative.
Freedom to innovate - we encourage bold ideas, fast experiments, and honest feedback.
our company's AI moment - AI is a company-wide strategic priority, and this group is at the center of it.
*we are an equal opportunity employer committed to diversity and inclusion.
Key Responsibilities
What You'll Do:
Build AI infrastructure - Design and develop the foundational tools, frameworks, and pipelines that power the group's AI capabilities, with a focus on LLMs and Generative AI.
Enable AI across the team - Act as the group's AI enablement engine: establish best practices, create internal tooling, and uplift teammates to work effectively with AI systems.
Own AI agents & agentic workflows - Design, implement, and iterate on autonomous agents and multi-step AI pipelines integrated with a variety of tools and environments.
Bring AI to production - Take models and capabilities from prototype to production-grade systems - reliable, scalable, and observable.
Shape the big picture - Contribute to the group's AI strategy, not just its execution. We want someone who asks "why" before diving into "how."
Stay ahead of the curve - Continuously research and evaluate emerging AI techniques, models, and tools - and bring what's relevant back to the team.
Collaborate and communicate - Write clearly. Think clearly. Work closely with researchers, engineers, and product stakeholders to align on goals and drive outcomes.

Requirements:
Must-Haves:
5+ years of experience in Software Development in production environments
Relevant academic background or Army experience.
Strong hands-on experience with LLMs and Generative AI- prompt engineering, fine-tuning, RAG pipelines, evaluation, and beyond.
Proven ability to build and ship production-level AI systems - not just notebooks, but real, deployed infrastructure.
Experience building or working with AI agents - tool use, agentic frameworks (e.g., LangChain, LlamaIndex, AutoGen, or similar).
Excellent written and verbal communication skills - you can explain complex AI concepts to both engineers and non-engineers.
Strong command-line proficiency and comfort working across diverse tools and environments.
A growth mindset - you read papers, break things, and love learning.
Nice to Have:
Experience in AI enablement - building internal tools, templates, frameworks, or training that help others work with AI more effectively.
Background in cybersecurity or working with security data.
Familiarity with cloud-based ML infrastructure (AWS, GCP, or Azure).
Experience with observability and evaluation frameworks for LLM-based systems.
Mindset & Culture Fit:
Big-picture thinker - you zoom out to understand what the team is building toward and zoom in to execute.
Team player with ambition - you lift others up while pushing yourself and the work forward.
Self-driven - in a small team, you own your domain end to end.
Comfortable with ambiguity- we're building something new; not everything is defined yet.

This position is open to all candidates.

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8721046

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חברת השמה / כח אדם

19/07/2026

Senior AI Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

we are looking for a Senior AI Engineer to design and build production-grade, LLM-powered systems. You'll work at the intersection of software engineering and applied AI - shipping agents, RAG pipelines, and tool-using systems that solve real problems at scale. This is a hands-on, high-ownership role for someone who thrives at the frontier of what's possible with modern LLMs and isn't afraid to write the glue, the infrastructure, and the prompts that make it all work.
This is a **cross-functional, company-wide role**. You won't be embedded in a single product team - instead, you'll partner with every department to identify high-leverage opportunities and build AI-powered tools and workflows that boost productivity and efficiency across the entire organization.
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless workers who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
What You'll Do:
- Design, build, and operate LLM-powered applications, agents, and workflows end-to-end - from prototype to production.
- Architect retrieval, context engineering, and tool-use strategies that make models reliable, accurate, and cost-efficient.
- Integrate LLMs with internal services, third-party APIs, and data stores to automate complex business and engineering workflows.
- Build, evaluate, and continuously improve evaluation harnesses for non-deterministic systems.
- Collaborate closely with product, research, and platform teams to translate ambiguous problems into shipped capabilities.
- Stay ahead of the rapidly evolving LLM ecosystem (models, frameworks, agentic patterns) and bring the best ideas into our stack.

Requirements:
Engineering Foundations:
- Strong Python skills- you write clean, idiomatic, well-tested code and understand the language deeply.
- Hands-on experience using coding agents(Cursor, Claude Code, GitHub Copilot, or similar) to build complex software systems. You know how to delegate effectively to AI assistants and review their output critically.
- Experience with multiple database paradigms- both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis, DynamoDB, or similar). You can choose the right tool for the job.
- Experience designing and integrating with third-party APIs- REST and gRPC. Comfortable building robust clients, handling auth, retries, rate limits, and schema evolution.
- Production experience with Docker and Kubernetes- containerizing services, writing manifests, and debugging deployments.
- Strong Linux fundamentals- confident in bash and the terminal; you can navigate, script, and troubleshoot a server without reaching for a GUI.
- Experience building cloud-native tools on AWS, GCP, or Azure (compute, storage, queues, serverless, IAM).
AI / LLM Expertise:
- Solid understanding of what an LLM is and how it works- tokenization, attention, context windows, sampling, and the practical implications of each for system design.

This position is open to all candidates.

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8744445

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15/07/2026

Sr. SRE AI Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

At our company, "It's all about the user. All of them." We're passionate about providing a seamless one-stop experience for business travelers, no matter how they travel, where they stay, or where they're going. we are building cutting-edge solutions at the intersection of travel, expense, payments, and AI. As a leader in the AI for Travel domain, we are using intelligent, practical AI experiences to make business travel simpler, faster, and more reliable for travelers, travel managers, finance teams, and support teams.
We are constantly striving to make our systems reliable, scalable, and simple to operate so our services are available to travelers when they need them most. With our continued growth, we have exciting challenges ahead and we're looking for a Senior Site Reliability Engineer to join our team in Tel Aviv. This role blends classic SRE ownership with pragmatic AI SRE work: you will build and operate the platforms, automation, observability, and incident response practices that keep our company reliable, while helping teams use AI solutions, AI providers, and their APIs safely and dependably.
This is a hands-on engineering role, not a research role. You will partner with product, platform, data, security, support, and incident response teams to make production systems and AI-powered experiences more resilient. You will use software engineering, infrastructure as code, SLOs, telemetry, provider observability, and automation as your main tools, and you will apply AI where it creates measurable reliability value rather than novelty.
This position is based out of our new Tel Aviv office.
What You'll Do:
Support AI-based application solutions where reliability matters. Partner with the development teams building AI-powered travel experiences to support the development and production operation of their solution.
Work with AI solutions, providers, and APIs. Partner with teams integrating AI capabilities and providers, with attention to API reliability, authentication, quotas, rate limits, latency and provider-specific operational constraints.
Troubleshoot AI tools and provider issues. Diagnose failures across AI-powered workflows, provider APIs, configuration, permission errors, degraded responses and related areas.
Operate reliable production platforms. implement and run cloud infrastructure,and help product teams move quickly without compromising reliability.
Improve observability. Build dashboards, alerts, traces, logs, and runbooks that make service health clear, actionable, and tied to SLOs and customer impact.
Apply AI to SRE workflows. Prototype and productionize AI-assisted systems that create effective and efficient operations
Automate operational toil. Create tools, workflows, and automation that remove repetitive manual work and make operational knowledge easier to use.

Requirements:
5+ years of experience as a Senior SRE, Infrastructure Software Engineer, Production Engineer, or DevOps Engineer.
3+ years of experience operating production, 24x7 customer-facing systems.
Hands-on experience delivering production infrastructure, platform tooling, and automation used by engineering teams.
Strong software engineering skills in Python, Go, Java, or a similar language, with a bias toward production-quality code, tests, monitoring, and documentation.
Experience with cloud infrastructure, container orchestration, Linux systems, networking, CI/CD, and infrastructure as code such as Terraform or CloudFormation.
Experience building, tuning, and automating observability systems such as Grafana, Prometheus, New Relic, Datadog, Splunk, or similar tools.
Familiarity with SLOs, incident response, on-call practices, root cause analysis, and blameless postmortems.
Practical experience or strong interest in AI solutions, AI providers, agents, AI APIs, provider integrations, or AI-assisted internal tools.

This position is open to all candidates.

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8739673

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לפני 19 שעות

AI Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Own the intelligence layer - the AI research pipeline that classifies and risk-scores every tool we find. Discovery tells us what software an organization runs; the AI does the hard part: figuring out what each tool actually is, what it can do, how it handles data, and how risky it is. You'll own that research and enrichment system end to end - the LLM-backed agents, the prompts and context that drive them, the evals that keep them honest, and the cost and latency of running them at scale.

This is an engineering role, not a research one. You'll ship production TypeScript, and you'll be measured on the accuracy, cost, and reliability of the intelligence the product depends on.

What you'll work on

The multi-agent researcher system: LLM-backed agents that research each tool across topics like platform, data policy, AI models, and agentic capabilities, and return structured, evidence-backed classifications.

Evals and quality: design eval sets, measure classification accuracy and hallucination, and turn prompt changes into regression-tested, reviewable diffs instead of guesswork.

Grounding and trust: cite evidence, resolve contradictions between AI output and validated data, and drive down hallucination on the fields that matter.

Model routing and cost/latency: choose and route across providers, tune concurrency and caching, and keep the pipeline fast and affordable as volume grows.

Structured outputs, tool/function calling, and the schemas and validation that make model output safe to persist.

Deep observability into the pipeline - spans, traces, and metrics for every model call.

Requirements:
3+ years of software engineering with hands-on, in-production LLM experience - you've shipped an AI-powered system that real users depend on, not just notebooks or demos.

Strong prompt and context engineering: you treat prompts as artifacts you version, test, and improve.

An eval-driven instinct: you reach for a measurement before you reach for a bigger model, and you know how to detect and reduce hallucination.

Fluency with structured outputs, function/tool calling, and multi-agent orchestration.

Solid engineering fundamentals - you build the pipeline around the model, not just call the API.

Judgment about cost, latency, and provider trade-offs at scale.

This position is open to all candidates.

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8767854

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7 ימים

Software Engineering Technical Lead

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for a Technical Lead to drive the architectural direction and engineering excellence of this group. This is a senior, deeply hands-on role for a technology leader who can own the technical roadmap, mentor a team of elite engineers, and build the infrastructure that challenges platform to its theoretical limits.
What You'll Lead:
Define and own the technical architecture of the group's distributed testing and reliability platform - designing for massive scale, real-world workload simulation, and adversarial failure injection
Lead effort involving multiple engineers, setting technical standards, running architecture reviews, driving design decisions, and mentoring engineers to grow
Build the systems that orchestrate millions of concurrent IO operations, inject chaos at the infrastructure layer (latency, packet loss, hardware failures), and expose the hardest-to-find race conditions and consistency bugs
Advance AI-driven approaches to test automation: intelligent scenario generation, LLM-augmented root-cause analysis, and autonomous validation pipelines
Drive observability and reliability engineering across the group - building telemetry pipelines that track P99 latency, jitter, and system health, turning quality into a quantitative discipline
Collaborate deeply with Core R&D, Storage Kernel, and Infrastructure teams - translating architectural knowledge into targeted reliability strategies
Establish engineering practices - design docs, production-grade code reviews, testing philosophy, and cross-team technical alignment

Requirements:
Strong software engineering background with 6+ years of hands-on Python development experience is required. The ability to read, debug, and reason about C++, Rust, or Go is a significant advantage
Deep understanding of distributed systems: concurrency, consistency models, fault tolerance, and large-scale system behavior under stress
Background in one or more of: storage systems, networking (TCP/IP, RDMA), cloud infrastructure, database internals, or high-performance backend systems
Experience building large-scale infrastructure platforms, internal developer platforms, or reliability engineering systems
Leadership:
Proven track record leading complex technical initiatives from architecture through delivery
Experience mentoring and growing engineers - raising the technical bar of a team, not just directing work
Ability to drive technical alignment across teams, communicate tradeoffs clearly, and make high-quality architectural decisions at speed
Comfortable operating at both the strategic and hands-on level - you write code, review designs, and shape roadmaps
Previous experience in people management roles - Advantage
Mindset:
You approach quality through the lens of Site Reliability Engineering: you care about MTTD, observability, and building self-healing systems
You have a "hacker" instinct - you don't just find bugs; you find the architectural flaws that allowed them to exist
You are an early adopter of AI tools and excited about applying LLMs and generative AI to accelerate engineering velocity
Big Advantages
Experience with storage systems, file systems, or high-performance distributed environments
Background in chaos engineering, fault injection, or simulation systems
Familiarity with observability tooling and performance engineering at scale
Experience building testing or reliability platforms as first-class engineering products
Prior experience as a Team Lead in a high-growth infrastructure company

This position is open to all candidates.

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8757543

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חברת השמה / כח אדם

15/07/2026

Forward Deployed Engineer, Hebrew Speaking JR350080

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

we are hiring Senior Forward Deployed Engineers - the Technical Builders, responsible for deciding that leads who design, build, and deploy the most complex agentic AI solutions directly inside enterprise customer environments. You'll lead technical delivery on your team, mentor the next wave of engineers, and set the engineering standards that define how agentic AI gets deployed at scale. Partnering closely with a Deployment Strategist (Strategic Builder - a customer-facing advisor who shapes AI strategy and drives adoption), you'll own outcomes end-to-end, from architecture decision to production. Your passion for well-crafted software that solves real problems will be supported by best-in-class AI tools and a team of talented builders around you.
The Senior Builder Experience
Technical Ownership: Partner with a Deployment Strategist to own customer outcomes end-to-end. You're the senior technical authority in the room, ensuring deliverables meet the highest engineering standards, whether it was generated by an AI tool by a colleague or written by you directly.
AI-Supported Engineering: Cursor, Claude, and our company coding products like Vibes are embedded in your daily workflow. The conventions and patterns you develop tend to propagate through the team because other Builders look to your work as reference.
Roadmap Influence: Your field experience routes directly to Product and Engineering. The gaps you hit and the edge cases you encounter in real life customer environments become the features they ship. Senior Forward Deployed Engineers are the most credible voice in agentic AIproduct evolution.
Continuous Innovation: You're expected to stay at the forefront - piloting emerging AI tools, experimenting with new models and frameworks, and sharing what you learn with your team and customers.
What You'll Actually Be Building
Own end-to-end build and deployment of agentic AI solutions for our company's most strategic customers - from architecture decisions through production handoff.
Design and ship agentic systems on the Agentforce platform: agent logic, tool calls, multi-agent orchestration, deterministic guardrails, and the integration patterns that hold up in enterprise environments. Your reference implementations become the basis for how other Builders approach similar problems.
Own the data lifecycle: model design, processing pipelines, and data readiness for AI applications across our company Data 360, Snowflake, Databricks, and customer-specific platforms.
Resolve the technical blockers that other engineers can't - data integration failures, model deployment issues, orchestration breakdowns, performance regressions. These problems are routed to you because of your track record of solving them.
Build and maintain agent performance dashboards and customer KPI reporting to track deployment health and business outcomes across engagements.
Develop proofs-of-concept and MVPs quickly, with the judgment to know which decisions can be deferred and which need to be right the first time.
Codify what you learn. The patterns, reusable assets, and internal frameworks that come out of your real customer work become the playbooks the rest of the org draws from.
Mentor other Engineers through code reviews, pair sessions, and shared work. Most of your influence on developing engineers happens inside the same codebases you're building in.
Provide technical depth on at-risk or strategically critical deployments when senior engineering judgment is needed.

דרישות:
You have 6+ years of software engineering or technical delivery experience, with proven end-to-end ownership of scalable production systems in enterprise AI, cloud, or SaaS environments.
You have a degree in Computer Science or a related field
You're an expert in at least one of Python, JavaScript/TypeScript, Java, or Apex, and conversant in the others.
You've integrated LLMs into production, used frameworks like LangChain or LlamaIndex, and applied prompt.# המשרה מיועדת לנשים ולגברים כאחד.

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7 ימים

Software Engineer - Verification and Reliability

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

we are looking for a Software Engineer - Verification and Reliability.
In this role as a SDET (Software Development Engineer in Test), you are a developer first. You will join a high-impact team of engineers who write production-grade code to build a massive-scale validation ecosystem. Your job is to act as "The Breaker"-designing the infrastructure, chaos experiments, and AI-driven tools that push our platform to its theoretical limits.
What Youll Build:
Adversarial Engineering: Design and implement Python-based distributed frameworks capable of orchestrating millions of concurrent IO operations to hunt down race conditions and memory leaks.
AI-Augmented Validation: Be at the forefront of the AI-Native transformation. You will leverage LLMs and Generative AI to automate complex scenario generation, build intelligent agents for root-cause analysis, and multiply your engineering velocity.
Simulation & Chaos: Build the "Entropy Engine." You will develop tools that inject real-world failures - latency, packet loss, and hardware crashes - to prove the resilience of our Raft and RDMA implementations.
Deep-System Observability: Move beyond "Pass/Fail." You will build telemetry pipelines to track P99 latency and jitter, providing critical architectural feedback to the Core Kernel teams.
Collaborative Architecture: You will operate with the same rigorous standards as the Core R&D team: design docs, production-grade code reviews, and high-level architectural planning.

Requirements:
Extensive Coding Experience: 5+ years of hands-on Python development experience is required. You are a Python expert who understands the language "under the hood" and are comfortable reading and debugging C++, Rust, or Go to understand how the core system works.
Systems Engineering Mindset: You have a background in distributed systems, networking (TCP/IP, RDMA), or storage protocols. You understand the complexities of consistency and metadata at scale.
AI Enthusiast: You are an early adopter of AI tools (Copilot, LLMs) and are excited about using them to automate the most tedious parts of the engineering lifecycle.
The "SRE" Lens: You approach quality through the lens of Site Reliability Engineering. You care about observability, MTTD (Mean Time to Detection), and building self-healing testing loops.
Problem Hunter: You have a "hacker" instinct. You dont just find a bug; you find the architectural flaw that allowed it to exist.

This position is open to all candidates.

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8757535

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