Job intelligence
Senior Solutions Architect – AI Infrastructure Networking
Mirantis
Before relying on the listing: Confirm Compensation with the employer or source. See verification questions
Executive opportunity brief
The decision in one screen
A compact evidence-first read of compensation, flexibility, mobility and what still needs verification. No universal quality score is used.
Fast read
Opportunity DNA
What stands out most is that location flexibility looks unusually broad. The biggest counterweight is that the pay picture is incomplete.
A financial comparison will need the approved compensation range.
No material geography, office-attendance or timezone restriction is visible in the available wording.
The listing does not make the minimum education or experience threshold clear enough yet.
Sponsorship and relocation support are not clear from the current listing.
Part of the application route can be assessed, but the full external process may contain additional steps.
At least one recent enabled source can still renew this vacancy.
This fingerprint summarizes what is clear, constrained or still unanswered in the current listing. It is a reading aid, not an overall job score.
Decision evidence check
4 of 5 core facts stated
This checks whether the listing states the facts that commonly change an employment decision. It measures disclosure completeness, not whether the opportunity is good or bad.
Facts already stated
- Work arrangement
- Advertised location
- Application closing time
- Employment type
What to verify next
- Compensation: What is the approved compensation range, and what portion is guaranteed base pay rather than variable compensation?
Advertised location is not proof of work authorization, sponsorship, or legal eligibility. Unknown information is not a negative score; verify those questions separately.
Decision levers
What could make or break the fit?
Reasons to look closer
- Location flexibility looks unusually broad: The available wording supports high Remote Freedom without a material geography, office-attendance or timezone restriction showing up.
Trade-offs to weigh
- The pay picture is incomplete: No usable salary range is stated, so a meaningful financial comparison is not possible yet.
Questions worth asking before you invest more time
- Ask for the approved compensation range before comparing this opportunity financially.
- Confirm whether a degree is actually required, preferred, or replaceable with equivalent experience.
- Confirm the actual minimum experience requirement rather than assuming preferred background is mandatory.
- Ask whether visa sponsorship is available before investing significant time in the application.
These questions come from details the listing leaves open. An unanswered point is not treated as a disadvantage.
Salary transparency context
Is pay disclosure typical for this kind of role?
This listing does not state usable structured compensation, and the current role sample is still too small for a reliable disclosure-rate comparison.
Compensation counts only when amount, ISO currency and supported pay period are all known.
At least ten current comparable roles are required before HPJ publishes a disclosure percentage.
Employer-level comparison is withheld until enough current employer listings are available.
This compares salary-disclosure behavior in current visible listings. It does not compare raw salary amounts across currencies, infer undisclosed pay as zero, or rate employer quality.
Private offer & negotiation lab
Turn an offer into evidence, not guesswork
Enter an annual base offer and, if you want, your own target. HPJ compares only within one explicit currency and never chooses a target for you.
Negotiation evidence available: strong decision evidence.
Enter an annual base offer to compare it with explicit same-currency evidence. HPJ will not suggest a target for you.
Review the full package · 10 terms
Mark what is confirmed, what needs clarification and what you want to prioritize. These choices and notes stay in this browser.
The approved base-pay range is not established in the listing.
Variable compensation is mentioned; verify amount, formula, target and eligibility.
Equity or long-term incentive language is mentioned; verify grant type, vesting and valuation basis.
Retirement or pension benefits are mentioned; verify employer contribution and vesting.
Health-benefit language is mentioned; verify coverage, dependants and employee cost.
Paid-leave language is mentioned; verify the exact entitlement and carry-over rules.
A work-arrangement signal is available; verify schedule details before relying on it.
Relocation support not established
Sponsorship not established
A review cycle is mentioned; verify timing and whether compensation can change at that review.
Questions worth taking into the offer conversation
- What is the approved base-pay range for this role?
- Is there a bonus, commission or other variable-pay component, and how is it calculated?
- Does the package include equity or another long-term incentive, and what are the vesting terms?
- What retirement or pension contribution does the employer provide?
- What health coverage is included and what costs remain with the employee?
- How much paid leave is provided and what are the carry-over or blackout rules?
- If relocation is relevant, what expenses, timing and repayment conditions are covered?
- What exact sponsorship or work-authorization conditions apply to this role?
Skill bridge
What does this role connect to?
The listing contains useful skill signals, while the current occupation sample is still too thin for a broader comparison.
Skills named in this listing
Shared with the current career sample
The occupation sample is still too thin for a reliable shared-skill comparison.
Application edge
- If these skills match your background, prepare one concrete example that shows how you used AWS, Kubernetes, and Linux rather than relying on a keyword-only claim.
Skill signals come from explicit text mentions. A mention is not automatically a requirement, and absence from the current top-skill list does not make a skill rare or unimportant.
Application Decision Lab
Turn the listing into a preparation plan
Separate what the listing actually states from what you still need to prepare or verify. Your selections and short notes stay in this browser and are never submitted to High Paid Job.
AWS
This skill or technology is explicitly mentioned in the available listing text. A mention is not automatically a mandatory requirement; prepare a concrete example only if it is relevant to your experience.
Kubernetes
This skill or technology is explicitly mentioned in the available listing text. A mention is not automatically a mandatory requirement; prepare a concrete example only if it is relevant to your experience.
Linux
This skill or technology is explicitly mentioned in the available listing text. A mention is not automatically a mandatory requirement; prepare a concrete example only if it is relevant to your experience.
Machine Learning
This skill or technology is explicitly mentioned in the available listing text. A mention is not automatically a mandatory requirement; prepare a concrete example only if it is relevant to your experience.
Python
This skill or technology is explicitly mentioned in the available listing text. A mention is not automatically a mandatory requirement; prepare a concrete example only if it is relevant to your experience.
Terraform
This skill or technology is explicitly mentioned in the available listing text. A mention is not automatically a mandatory requirement; prepare a concrete example only if it is relevant to your experience.
Questions worth resolving before you rely on the opportunity
- Compensation: What is the approved compensation range, and what portion is guaranteed base pay rather than variable compensation?
- Work authorization / sponsorship: If sponsorship or work authorization matters to you, what exact immigration or employer-sponsorship conditions apply to this role?
- Application process: What interview, assessment, portfolio, reference or screening stages are part of the hiring process?
Decision analysis
What the listing really tells you
The headline alone does not tell the whole story for Senior Solutions Architect – AI Infrastructure Networking at Mirantis. The clearest decision context comes from the location rules are clear enough to judge, the application route gives a few useful clues, and the listing can be traced to a current source.
The location rules are clear enough to judge
Location flexibility can be assessed here: Highly location-flexible, with a Remote Freedom reading of 96/100.
The application route gives a few useful clues
Provider-mediated application path. The external application may contain additional steps that are not visible from the listing itself.
The listing can be traced to a current source
The opportunity currently has 1 renewable source path across 1 source classes. Multiple independent paths can strengthen continuity, but they are not a substitute for checking the application destination.
How this analysis is assembled
Built from the pay, location, qualification, mobility, application and source details available for this vacancy. Anything the listing leaves unresolved stays unresolved.
Analysis evidence coverage
How much analysis can the current evidence support?
This title does not yet fit a reliable comparison family, so a pay percentile is not shown.
Measures observable location flexibility and explicit restrictions; it does not determine whether remote work is personally desirable.
Missing compensation is not treated as negative evidence; this dimension simply remains unavailable.
The listing was posted about 24 days ago. Verify that it is still accepting applications.
At least one enabled source recently observed the vacancy. The source chain is traceable, but this is not independent employer verification.
There is no universal opportunity score because pay, flexibility and access matter differently to different people. Compare Jobs lets you weight the evidence around your own priorities.
Decision checklist
What is supported, uncertain or worth checking?
This checklist separates supported strengths, visible cautions and missing evidence. It is not an overall recommendation or guarantee that the job is suitable for you.
Supported strengths
- The available work-location evidence indicates strong location flexibility.
Visible cautions
- The listing was posted about 24 days ago. Verify that it is still accepting applications.
Still unknown
- There is not enough comparable salary evidence to establish this job’s current pay position.
- Visa sponsorship is not established by the available listing data.
Pay vs. barriers
Opportunity Efficiency not assessed
The current pay position is not reliable enough to weigh compensation against the stated barriers.
- Current comparable pay position is unavailable.
- Education requirement is not established.
- Required prior-experience level is not established.
This section weighs pay context against clearly stated barriers without collapsing unlike requirements into one universal score. Degree, experience, licensing, clearance and location limits remain separate, and missing qualification details stay unknown.
Beyond the headline
Not enough evidence for a hidden-value finding
Potential hidden value appears only when several distinct non-pay advantages are actually supported. Missing requirements or benefits are never counted as positives.
The observable Remote Freedom evidence is strong and contains few explicit restriction signals.
Still check: The current application path is provider-mediated rather than directly classified as an employer-authorized or official route.
Hidden Value is an experimental evidence summary, not an investment-style score or guarantee of employability. It only uses explicit current listing evidence and does not infer that an unmentioned qualification is unnecessary.
Compensation intelligence
How competitive is this pay?
This title does not yet fit a reliable comparison family, so a pay percentile is not shown.
Why this analysis?
- This title does not yet fit a reliable comparison family, so a pay percentile is not shown.
- Salary confidence: Not available. No disclosed salary can currently be normalized for comparison. Missing compensation is not treated as low-quality salary evidence.
- Range quality: No disclosed range.
Employer compensation communication
Pay transparency at Mirantis
Limited current pay transparency
This score uses the employer’s current visible listings and combines how often pay is disclosed with how useful those ranges are. Bonus, equity and benefit mentions are shown separately and do not raise the score.
This pattern comes from the employer’s current visible vacancies. It describes hiring and pay transparency in those listings, not employee satisfaction or a permanent judgement of the employer.
Current employer intelligence
Mirantis — current opportunity snapshot
Employer Evidence Profile
How often this employer’s current visible sampled vacancies state decision-critical information. These percentages describe evidence coverage, not employer quality.
Current sampled listings with advertised compensation evidence.
Current sampled listings whose work arrangement is clearer than unknown.
Current sampled listings with a supported country signal.
Current sampled listings with an explicit closing time.
Current sampled listings with a usable posting date.
Current sampled listings that explicitly indicate confirmed, possible or unavailable sponsorship evidence.
Current sampled listings with an explicit relocation signal.
Low coverage means the current visible listings state the information less often. It does not prove that the employer lacks the policy, benefit or support.
Common current occupation families: Software engineering (2) · Operations (1) · Product (1)
Visible seniority mix: Senior / lead (4)
Current employment-type mix: Full time (4)
Most visible hiring countries in this sample: United States (2)
Other current roles from this employer
Project Manager (Client Delivery - AI & Cloud)
Remote — Worldwide
Senior / lead · Worldwide remoteSenior Software Engineer (Storage) - remote in the US
USA
Senior / lead · Region-restricted remoteTechnical Product Marketer, k0rdent AI - remote in the US
USA
Senior / lead · Region-restricted remoteSoftware Engineer
Remote — restrictions not specified
Seniority not clearly specified · Remote — restrictions unclearThese are other current vacancies visible from the same employer, not endorsements or evidence of future hiring plans.
There are not yet five current disclosed salaries in one currency, so an employer pay median would be too thin to be useful.
Questions worth asking this employer
- What compensation range applies to this role, and which parts of total compensation are fixed versus variable?
- If work authorization matters to you, what sponsorship policy applies to this specific role and location?
- If a move is required, is relocation assistance available for this position?
- What is the expected application and interview timeline if the listing does not state a closing date?
These questions are prompted by missing or thin evidence in the employer’s current visible vacancies. Missing evidence is not treated as a negative judgement.
This employer snapshot uses the employer’s current visible listings. Remote and sponsorship rates use only vacancies with explicit evidence, while missing information stays unknown. Salary medians are shown separately by currency and need at least five disclosed salaries. Zero confirmed sponsorship means none was explicitly found in this sample, not that sponsorship is unavailable.
This snapshot describes the employer’s current visible vacancies—things such as pay disclosure and work arrangement. It is not an employee-satisfaction or hiring-quality rating, and different currencies stay separate.
Work-location intelligence
Remote Freedom
Highly location-flexible
Why this score?
- The source describes the role as open worldwide or globally.
Flexibility signals detected
- Worldwide or global remote eligibility is explicitly indicated.
Remote Freedom measures observable location flexibility only. Unknown work-location information remains unscored. Timezone wording is penalized only when it appears restrictive; general collaboration across time zones is not treated as a restriction. A score does not guarantee legal work eligibility, payroll availability or visa sponsorship.
International applicant intelligence
Visa & relocation signals
Sponsorship status is shown only when the listing provides clear enough wording. Employer history or headquarters location is not used to guess an answer.
The available listing details do not contain a clear enough sponsorship statement.
The available listing details do not contain a clear enough relocation statement.
Tradeoff check
What’s the catch?
No obvious trade-off appears in the available job details. That does not mean the role has no drawbacks, so the original listing and employment terms are still worth reading carefully.
Application-path intelligence
What can we see about the application process?
Provider-mediated application path
The current application path comes through a publisher or aggregator. The destination may still lead to an employer-authorized hiring system, but that is not clear enough to assume.
Current destination: himalayas.app · HTTPS
No additional required application step is clear in the available listing text. This does not mean the external application is one-click or friction-free.
Application effort is estimated from visible listing and source details. Optional steps are kept separate from mandatory ones, and the external form may contain additional requirements that are not visible here.
Application safety context
Application safety check
Basic application-safety context available
The current application destination has a basic transport-safety signal such as HTTPS. This does not verify the employer, vacancy, recruiter or application process.
Evidence checked: Source provenance · Application destination · Listing wording
Observable transport-safety signals
- The available application destination uses HTTPS.
Before you share money or sensitive information
- Confirm the vacancy on the employer’s official careers site when practical, especially if a recruiter contacts you outside the listed application path.
- Check that recruiter email domains and application destinations are consistent with the employer or an identifiable recruiting provider.
- Do not pay application, processing, training or equipment fees merely to be considered for a job.
- Do not send cryptocurrency, gift cards, online-banking credentials or PINs as part of an application.
- Treat unusually fast offers or interviews conducted only through informal messaging channels as reasons to verify the employer independently.
This is a limited safety screen, not employer verification and not a fraud determination. Never send money, cryptocurrency, passwords or sensitive banking credentials merely because a listing appears on a job platform.
Original listing details
The section below comes from the listing source. The decision sections above use the job’s structured pay, location, qualification, mobility and application details to give you additional context.
About the role
We are seeking a Senior Solutions Architect with deep networking expertise to join the Voyager team in the Mirantis Office of the CTO. You will own the network solutioning of k0rdent AI, our platform for building and operating GPU clouds and AI factories, from metal to model.
You will design how large GPU clusters are interconnected, how tenants are isolated, and how workloads reach the network from containers, virtual machines and bare metal nodes. You will turn that design into published reference architectures, working code and proofs of concept that run on real hardware with our customers and partners.
As part of the Office of the CTO, research is a core part of the job. You will explore designs and technologies before customers ask for them, prototype ideas that may not ship, and challenge established practice when a better approach exists. Your work will shape where k0rdent AI goes next, not only how it is deployed today.
This role combines research with hands-on, outward-facing work. You will split your time between exploring new designs, writing architecture, building and validating it in the lab, and explaining it to engineers, executives and conference audiences. You will work with Solutions Architects, Partner Management and Engineering colleagues across many countries and time zones.
Key Responsibilities
Reference architecture
- Design and publish network reference architectures and solution designs for k0rdent AI, covering data center topologies from a single rack to multi-thousand-GPU clusters.
- Define compute (east-west) fabrics on InfiniBand and on RoCEv2 Ethernet, including rail-optimised and fat-tree / Clos designs, oversubscription and failure-domain choices.
- Define front-end, storage and management networks, and how they connect to customer data centers, public clouds and hybrid environments.
- Specify multi-tenant isolation across the stack: InfiniBand partitions (PKeys), VRFs and EVPN-VXLAN on Ethernet, and Kubernetes-level network policy.
- Document scale limits and trade-offs (cost, performance, operability, vendor lock-in) with defensible reasoning a customer can follow.
Host and platform networking
- Define how Linux hosts expose NICs, DPUs and SuperNICs to workloads: PCI passthrough, SR-IOV virtual functions, IOMMU groups, NUMA and GPU-NIC affinity.
- Design Kubernetes networking for AI workloads: primary and secondary CNIs, Multus, SR-IOV and RDMA device plugins, NVIDIA Network Operator, and Dynamic Resource Allocation (DRA).
- Design networking for virtual machines on KubeVirt, including passthrough and SR-IOV for GPU and RDMA traffic.
Research and exploration
- Track and evaluate emerging technologies and standards in AI networking, such as Ultra Ethernet (UEC), SuperNIC and DPU offloads, scale-up and scale-across fabrics, and Kubernetes DRA network drivers.
- Prototype alternative designs in the lab, including ones customers have not yet asked for, and measure them against current practice.
- Challenge established or customer-preferred designs when evidence points to a better option, and make the case with data.
- Publish findings as internal research notes and design proposals and, where appropriate, as external papers, blog posts or talks.
Code and proofs of concept
- Build and run proofs of concept with customers and partners, on Mirantis lab hardware and on customer sites, and report results against agreed success criteria.
- Write automation and tooling (Python, Go, Bash, Ansible, Helm, Kubernetes manifests, Terraform) that makes the reference architectures reproducible.
- Run validation and benchmarking of fabrics and host configurations (e.g. NCCL tests, perftest, ib_write_bw) and turn findings into design guidance.
Customers, partners and community
- Act as the network subject matter expert in customer discovery, design reviews and architecture workshops, bringing thought leadership and new ideas rather than only reflecting current practice.
- Work with hardware and networking partners (e.g. NVIDIA, server OEMs, switch and network vendors) on joint designs and validations.
- Innovate and feed research results back to Product and Engineering, and help shape the k0rdent AI roadmap.
- Present at industry events, webinars and partner summits, and run hands-on workshops for technical audiences.
- Write technical content: reference architecture documents, solution briefs, blog posts and internal enablement.
Experience:
- Bachelor's degree in Computer Science, Electrical Engineering, Telecommunications or a related field, or equivalent practical experience.
- 8+ years in network engineering or network architecture, with at least 3 years in data center, HPC or cloud infrastructure networking.
- Customer-facing experience as a solutions architect, pre-sales engineer, consultant or technical lead.
Required technical skills
- Data center network design: spine-leaf and Clos topologies, rail-optimised GPU fabrics, oversubscription, ECMP, and the operational challenges of scaling to thousands of nodes.
- InfiniBand: subnet management, partitioning, adaptive routing, and how NCCL / RDMA traffic behaves on the fabric.
- RoCEv2 on Ethernet: lossless and congestion-controlled designs (PFC, ECN, DCQCN), QoS, MTU and buffer tuning.
- Routing and overlays: BGP, EVPN-VXLAN, VRFs and their use for multi-tenancy.
- Hybrid and multi-cloud connectivity: interconnects, VPN, cloud provider networking constructs, and IP address and DNS planning across sites.
- Linux networking: how the kernel and drivers manage NICs, PCI passthrough, SR-IOV, IOMMU, NUMA affinity, and tools such as iproute2, ethtool and devlink.
- Kubernetes networking: CNI plugins (e.g. Cilium, Calico, OVN-Kubernetes), Multus and secondary networks, SR-IOV and RDMA device plugins, network policy and service exposure.
- Virtualisation on Kubernetes: KubeVirt, and how VM networking, passthrough and SR-IOV are configured there.
- Programming or scripting in at least one language (Python or Go preferred), and comfortable using Git, CI and infrastructure-as-code.
How you work
We hire for these behaviours as much as for technical depth, and will ask for concrete examples of each.
- Curious. You dig into why a fabric behaves the way it does, read the specs and the source, and keep up with how AI networking is changing. You question established designs, including the ones customers are used to, when there is a better way.
- Ownership. You take a reference architecture or a POC from the first sketch to a published, validated result, and you stand behind it.
- Proactive. You spot gaps in the product, the documentation or a customer design before you are asked, and you act on them.
- Fast learner. You get productive quickly in unfamiliar hardware, software or customer environments.
- Business acumen. You connect network design choices to cost, time-to-value and risk, and explain them in those terms to decision makers.
Communication and collaboration
- Excellent written and spoken English; you write documents others can build from.
- Comfortable presenting to large audiences at conferences and events, and running hands-on workshops.
- Able to adapt the message to the audience, from network engineers to customer executives.
- Experience working in an international, distributed company, across time zones and different work cultures, with Solutions Architects, Partner Management and Engineering teams.
Nice to have
- Hands-on experience with NVIDIA networking: Quantum InfiniBand, Spectrum-X Ethernet, ConnectX SuperNICs, BlueField DPUs, UFM, and NVIDIA reference designs for AI factories.
- Experience with GPU cloud, neocloud or HPC operators, or with NVIDIA Cloud Partner (NCP) style deployments.
- Bare-metal provisioning and lifecycle: Metal3, Ironic, Redfish, PXE / iPXE, and Cluster API.
- Network automation and SDN controllers, and switch operating systems such as Cumulus Linux, SONiC or vendor equivalents.
- Global load balancing and service exposure for distributed inference (GSLB, Gateway API, ingress).
- Familiarity with Software-Defined Storage networking for AI (NVMe-oF, GPUDirect Storage).
- Experience with Mirantis products, MKE, k0s, k0rdent networking.
- Contributions to open-source networking or Kubernetes projects, or a track record of public talks and technical writing.
- Participation in standards or industry bodies (e.g. Ultra Ethernet Consortium, OCP, IETF), or published research, patents or white papers.
Location, travel and working model
This role is remote, open to candidates based in the United States (East Coast) or Europe.
- You will work with a team spread across many time zones; some meetings will fall outside standard local hours.
- Travel of up to 25% for customer engagements, partner meetings, lab work and industry events, primarily within the EU and US.
- Mirantis is an equal opportunity employer. Compensation and benefits are set according to the local market and employment arrangement.
Why you’ll love Mirantis
- Build the observability foundation for the AI cloud era, working directly with leading GPU cloud operators, NeoClouds, sovereign clouds, and AI-first enterprises
- Collaborate with a world-class, distributed team committed to openness and technical excellence
- Shape the product narrative and influence go-to-market success
It is understood that Mirantis, Inc. may use automated decision-making technology (ADMT) for specific employment-related decisions. Opting out of ADMT use is requested for decisions about evaluation and review connected with the specific employment decision for the position applied for. You also have the right to appeal any decisions made by ADMT by sending your request to
By submitting your resume, you consent to the processing and storage of your personal data in accordance with applicable data protection laws, for the purposes of considering your application for current and future job opportunities.
#remote
We are a Leader for Container Management in G2 (#2 after AWS)!
About Mirantis
Mirantis, an IREN company, is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment—on-premises, in the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards and freedom from lock-in, Mirantis ensures that customers retain full control of their infrastructure strategy.
Originally posted on Himalayas
Listing provenance
Where did this job come from?
See where this vacancy came from and whether more than one current source can still support it. Source names help with traceability and attribution; they are not endorsements or guarantees.
At least one enabled source recently observed the vacancy. The source chain is traceable, but this is not independent employer verification.
- Continuity
- One recent renewable source
- Source-class independence
- One renewable source class
- Last source observation
- Observed in the current source window
This records when High Paid Job last observed the vacancy in source evidence. It confirms source presence, not that the employer edited the vacancy at that time.
- 1 enabled source recently observed this vacancy.
Source confidence is about traceability and continuity. It is separate from application safety and should not be read as an employer reputation rating.
The vacancy is supplied by an external job publisher. Source information helps show where the listing came from; it is not a guarantee about the employer or vacancy.
Listing source: Himalayas. Destination: himalayas.app. The application opens in a new tab so you can keep this report open.