Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowFirst seen 37 hours ago

ACO QA E2E Team Leader

DRIVENETS46 open roles

Where
Raanana, Israel
Work mode
Hybrid
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowACO QA E2E Team LeaderDRIVENETS · Raanana, Israel

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on DRIVENETS's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: first seen 37 hours ago

The posting

Location: Ra'anana

#Hybrid

DriveNets is a leader in high-scale disaggregated networking solutions. Founded in 2015, DriveNets modernizes the way service providers, cloud providers and hyperscalers build networks. Supporting the largest network in the world, more than half of AT&T’s backbone traffic is running on DriveNets’ Network Cloud open disaggregated architecture. Raising $587 million in three funding rounds, DriveNets is disrupting the networking market from high-scale architecture to AI platforms, and is bringing onboard the most talented people. We are seeking people that want to make an impact on the world’s leading communication networks and are experienced in networking architecture or AI infrastructure solutions.

Job Summary:

What You'll Do:

  • Build, lead and mentor the ACO E2E QA team; own the quality of every ACO release from test planning to Go/No-Go sign-off.
  • Define the E2E test strategy, test plans (STP/STD/STR) and acceptance criteria for ACO features based on requirements and design documents, and present them to R&D and Product.
  • Lead manual end-to-end testing of ACO across its UI/UX, REST APIs, database-backed workflows and the real infrastructure it manages: switch provisioning and upgrades, inventory and topology, telemetry, alerts, configuration compliance, benchmarking and multi-tenancy.
  • Own and maintain the QA lab environments: AI fabric topologies (leaf-spine, DNOS and multi-vendor switches), GPU servers, NetBox/SLURM/Kubernetes integrations and the ACO deployments themselves (single server, HA cluster, cloud).
  • Validate network connectivity, configuration and performance across the AI cluster infrastructure: high-speed Ethernet (400/800G/1.6T), GPU nodes, leaf-spine topologies, VLAN/VXLAN, IP addressing, MTU, link status, routing and packet loss.
  • Verify BGP routing functionality (neighbor establishment, route advertisement, route propagation and convergence) and EVPN/VXLAN-based isolation on data-center fabrics.
  • Execute and analyze AI/HPC benchmarks (RDMA, NCCL/RCCL, MPI, RoCE, training/inference, storage) on GPU and CPU clusters through ACO's benchmarking engine; compare results against established baselines and report deviations.
  • Validate telemetry collection (gNMI/OpenConfig, syslog, GPU and NIC exporters) for accuracy, consistency and reliability against device state and live traffic.
  • Drive the defect lifecycle: reproduction with evidence, prioritization, root-cause investigation with developers, fix verification and regression; publish clear quality reports and release-readiness metrics.
  • Define and execute the automation roadmap, moving the team from manual E2E testing to automated API, UI and device-level test suites integrated into CI.
  • Make AI agents part of the team's daily work (test design, execution, evidence collection, reporting) and set the practices for AI-assisted QA.
  • Represent QA in planning, agile ceremonies, customer escalations and field deployments.

Requirements

What We're Looking For:

  • 3+ years of experience leading QA engineers (hiring, mentoring, planning, delivery) on top of 5+ years of hands-on QA.
  • Minimum 3 years of application testing across UI/UX, database-backed data and multi-step workflows in web-based systems, including test design from detailed requirements.
  • Networking knowledge at CCNP level or higher: L2/L3 switching and routing, BGP, VLAN/VXLAN/EVPN, MTU/MSS, ECMP, and troubleshooting with packet captures and device CLI.
  • AI networking: data-center fabrics for AI workloads – leaf-spine and rail-optimized Clos designs, RoCEv2/RDMA, lossless Ethernet (PFC/ECN/DCQCN), 400/800G/1.6T optics and link health.
  • GPU clusters: running, monitoring and optimizing AI workloads and benchmarks (NCCL/RCCL, RDMA, MPI, training and inference) on NVIDIA/AMD GPU servers, with schedulers such as SLURM or Kubernetes.
  • Strong hands-on experience in Linux environments (CLI, networking stack, services, logs, scripting).
  • Hands-on experience working with AI agents in daily engineering work: agent skills, rules/instruction (markdown) files, MCP servers and tools, and prompt-driven workflows (e.g., Claude Code, Codex, Cursor).

Advantages:

  • QA automation experience (Python, pytest, Playwright/Selenium, REST API testing, CI pipelines).
  • Kubernetes and containers (kubectl, Helm, Lens/OpenLens, Argo CD; monitoring pod status, reading logs, troubleshooting).
  • Cloud deployments (AWS/Azure/GCP, e.g., EKS).
  • Databases: SQL querying and data validation (PostgreSQL).
  • Familiarity with network operating systems (DNOS, SONiC, Arista EOS, Junos), observability stacks (Prometheus/Mimir, Grafana/Perses, gNMI) and traffic generators (Spirent/Ixia).

Soft Skills:

  • Proven leadership: builds a team, sets priorities, makes decisions and owns outcomes.
  • Excellent interpersonal and communication skills with R&D, Product, Support and customers.
  • High-level proficiency in English (both written and verbal) and clear technical writing.
  • Self-starter who learns quickly and adapts easily to new technologies.
  • Ability to work under tight deadlines and manage multiple priorities.
  • A strong team player with a collaborative mindset.

Why Join Us?

  • Build the QA team of a new product – DriveNets' AI Cluster Orchestrator – used to deploy and run some of the most demanding AI infrastructures.
  • Work hands-on with state-of-the-art AI infrastructure: 800G/1.6T Ethernet fabrics, NVIDIA and AMD GPU clusters, RoCE and collective communication.
  • Join an AI-native engineering culture where agents are part of the daily workflow.
  • Collaborate with brilliant minds in a dynamic and supportive work environment.
  • If you're ready to take the next step in your career and work with a world-class team, apply now!
From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against DRIVENETS's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on DRIVENETS's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    DRIVENETS's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.