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Telco Cloud Field Engineer

AI Summary
Canonical is seeking a senior customer-facing field engineer to design and deliver telco cloud platforms for service providers. The role combines technical pre-sales, solution architecture, deployment support, and product-feedback responsibilities across OpenStack, Kubernetes, MAAS, Ceph, and software-defined networking. The engineer will enable NFV, VNF/CNF, MEC, and 4G/5G-related workloads while applying infrastructure-as-code and automation practices. This is a remote role across the Americas and EMEA with up to 25% travel for customer engagements, events, and project delivery.
Remote from
USA, Canada, EMEA+1 more, LATAM
Salary
Undisclosed
Employment
Full Time
Experience
Senior
Published
Apply before
7 Dec 2026
Listing views
21
Application actions
0
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Opportunity details

About this role.

The role of a Telecommunications Field Engineer at Canonical

The telco industry is moving to software-defined services. This transformation is driven by open source software, cloud computing and the move to VNF / CNF approaches. Canonical Ubuntu is a key platform for telco innovation, and we are growing our team of specialists who work in the industry to accelerate the change.

Canonical enables operators and communications service providers to embrace this new world, with a focus on platforms such as Ubuntu, OpenStack, and Kubernetes, and reusable, high quality automation for operations at scale.

As part of the Canonical Field Engineering organization, you will lead customers through the design and delivery of OpenStack, Kubernetes, and software-defined networking solutions. Your passion for open-source technologies will enable customers to understand and operate advanced infrastructure substrates to meet the demands of 5G, sovereign AI, and beyond.

Location: Remote-based, Americas and EMEA

What your day will look like

  • Translate Service Provider requirements into practical telco cloud platform architectures, enabling VNF/CNF, NFV, and MEC workloads at scale
  • Provide technical pre-sales consulting to Service Provider teams
  • Design and implement telco-grade open source multi-tenant private clouds and micro clouds
  • Investigate, report and/or fix software defects uncovered during customer deployments
  • Demonstrate advanced Infrastructure as code (IaC) techniques relevant to telco
  • Architect and implement advanced, resilient Service Provider Cloud and Application solutions
  • Design and deliver software defined infrastructure with OpenStack, Kubernetes, MAAS and Ceph
  • Help customers adopt advanced Bare Metal, Public, Private and Hybrid Cloud solutions
  • Support customer tenant onboarding, participate in architectural and business capability discussions, and enable successful adoption and production readiness of customer use cases
  • Learn from customer engagements and drive meaningful product improvements
  • Shape our roadmap to accelerate our growth in the telco market

What we are looking for in you

  • A thorough technical understanding of the telco NFVi (VIM), NFVO, VNFM and MEC space and key telco cloud infrastructure technologies like CPU Pinning, NUMA, SR-IOV, DPDK, etc
  • Familiarity with telco architecture and industry standards
  • Working knowledge of at least one of the following domains: Mobile Packet Core (4G/5G), Private Network, Radio Access Network (RAN), Voice, IP Backbone, VAS or OSS/BSS
  • Working knowledge of Linux, Networking, OpenStack and Kubernetes
  • Python software development experience for automation
  • Ability to lead complex projects from start to finish
  • A collaborative, customer-centric mindset with a strong focus on customer success
  • Able to travel up to 25% of the time based on business requirements for events, customer meetings, project delivery

Additional skills that you might also bring

  • Second language such as Spanish, Portuguese or French
  • Track record of open source contributions
  • Understanding of AI and machine learning concepts, including sovereign AI, and their potential applications in telco environments, such as network optimization, predictive maintenance, unified communication, and customer experience improvement
  • Exposure to frameworks such as 3GPP, TM Forum ODA, eTOM, ETSI NFV, ONAP, O-RAN, or similar is a plus

What we offer you

Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.

In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, you can ask in the later stages of the recruitment process.

  • Fully remote working environment – we’ve been working remotely since 2004!
  • Personal learning and development budget of 2,000USD per annum
  • Annual compensation review
  • Recognition rewards
  • 40 days annual leave per annum, including public holidays and our All Company holiday periods
  • Parental Leave
  • Employee Assistance Programme
  • Opportunity to travel to new locations to meet colleagues at ‘sprints’
  • Priority Pass for travel and travel upgrades for long haul company events

About Canonical

Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence – in order to succeed, we need to be the best at what we do.

Canonical has been a remote-first company since its inception in 2004.​ Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

#LI-remote

Apply now >

This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThe position requires deep expertise across telco cloud architecture, Linux infrastructure, networking, OpenStack, Kubernetes, and specialized NFV performance technologies such as NUMA, SR-IOV, and DPDK. It also demands independent delivery of complex customer projects and strong technical communication with service-provider stakeholders.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate
$150,000
US market range (per year)$120k–$190k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer base-pay amount is disclosed. The yearly cadence is inferred from the senior full-time engineering role and the posting's reference to annual compensation review; estimated USD annual market compensation is $120,000–$190,000, with a midpoint of $150,000.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you design a resilient telco cloud platform for VNF and CNF workloads?

I would begin with workload, availability, latency, throughput, and regulatory requirements. I would design fault domains across compute, storage, and network layers; use Kubernetes and/or OpenStack according to workload needs; implement redundant control-plane and data-plane components; and validate the design through failure testing, capacity planning, observability, and documented operational runbooks.

What factors do you consider when tuning an NFV workload for performance?

I assess CPU pinning and isolation, NUMA alignment, huge pages, SR-IOV or DPDK requirements, NIC and kernel settings, storage latency, and network topology. I establish a measurable performance baseline, make controlled changes, and validate results against throughput, latency, packet-loss, and availability targets.

Describe how you would handle a software defect found during a customer deployment.

I would first contain the customer impact and collect reproducible evidence such as logs, configuration, versions, topology, and clear steps to reproduce. I would identify a safe workaround where possible, communicate status and risk transparently, then collaborate with engineering on prioritization, validation, and a production-safe fix.

How do you use infrastructure as code in a multi-tenant private-cloud deployment?

I define repeatable, version-controlled infrastructure modules for compute, networking, storage, identity, and tenant onboarding. I use automated validation and deployment pipelines, peer review, secrets management, and environment-specific configuration to make changes auditable, consistent, and reversible.

How do you balance technical architecture recommendations with customer business goals?

I translate technical trade-offs into outcomes such as time to launch, service reliability, operating cost, scalability, and compliance. I confirm priorities with both technical and business stakeholders, present viable options with risks and assumptions, and recommend an incremental delivery plan that produces measurable customer value.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
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