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Senior Solutions Engineer

  • Remote
  • 6+ years

Salary

£145,000 - 165,000/ year

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Description

About the company

Don't wait for the future of infrastructure. Be part of it.

The company is the AI Infrastructure Identity Company. We're solving one of the hardest problems in security: giving every human, machine, workload, and AI agent a cryptographically secured identity, improving engineering velocity while maintaining security. We make trusted computing simple. This gives you the freedom, power, and autonomy to build and innovate with confidence.

Remote-first and globally distributed, we work with companies like Nasdaq, DoorDash, and Elastic to secure infrastructure for an AI world.

As a Senior Solutions Engineer, you will help the sales team drive revenue growth by evangelizing our technology via demos and technical discussions. You will get to collaborate with infrastructure engineering and security teams at the most sophisticated technology companies in the world. Most importantly, you will help these companies solve problems and get exposed to the latest ideas in technology.

You will partner with account executives, other solutions engineers, and other teams to understand customer challenges, design secure and scalable solutions, and guide prospects through technical evaluations and proof-of-value engagements.

You have experience working with AI technologies and infrastructure (LLMs, MCP, vector databases, AI tooling), and familiarity with traditional infrastructure networking and security (Linux/Unix, Windows, VPNs, bastion hosts, etc) and modern cloud-native technologies (cloud compute, containers, IaC, etc).

Responsibilities

  • Partner with Account Executives and Account Managers to expand technical discovery, and map the company’s capabilities to customer initiatives.
  • Architect and deliver compelling demos and proof-of-concepts that showcase the company’s differentiation with Zero Trust principles, handling of human and non-human identities, identity governance, and identity security.
  • Act as the trusted advisor to engineering, platform engineering, DevSecOps, and security leaders.
  • Advise on protecting sensitive datasets and model endpoints with the company’s identity-based controls.
  • Position the company as a solution to eliminate API keys and static tokens in machine pipelines.
  • Support customers exploring AI/LLM use cases, including secure infrastructure for training and inference workloads.
  • Provide structured feedback to Product and Engineering on feature gaps and market needs.
  • Collaborate with Marketing on thought leadership around identity, human, non-human, and AI security.
  • Support channel and technology partners with technical enablement.
  • Help across various go-to-market activities, including marketing collateral, product positioning, customer interviews, sales cycle optimizations, traveling to conferences, brand evangelism, attending meetups, etc.
  • Listen deeply and perceive feedback as an opportunity to improve.
  • Demonstrate a high level of empathy, resilience, and humility.
  • What You'll Bring
  • 5+ years of experience in pre-sales engineering, solutions architecture, DevSecOps or a highly technical customer-facing role.
  • Experience with using/configuring/debugging Linux machines and network issues.
  • Strong understanding and experience with Kubernetes, including hands-on troubleshooting.
  • Strong knowledge of at least one cloud computing platform
  • Strong knowledge of DevSecOps principles, CI/CD pipelines, and securing infrastructure at scale (e.g., source control, code reviews, unit testing, agile principles).
  • Advanced understanding of identity security and modern Zero Trust security approaches.
  • Proven ability to develop scripts and automation using Linux shell, Go, and Infrastructure as Code tools
  • Strong understanding of system architecture, provisioning, and administration
  • Familiarity with AI/LLM infrastructure (GPU clusters, data governance, inference workloads, ML pipelines) and associated security requirements.
  • Strong problem-solving and analytical skills, with the ability to troubleshoot complex issues
  • Ability to engage both technical and executive stakeholders with credibility and clarity.
  • Strong presentation, demo, and white-boarding skills.
  • Why the company
  • You're joining a company where the problem is real, the team is small, and your work shows up directly in the product. We're not a big company, you won't get lost in a crowd. You'll have the freedom and autonomy to do what you're great at, alongside teammates who care about doing it right and want to see you succeed. The work is collaborative, there's real room to grow, and the mission is one worth showing up for.
  • Remote-first and globally distributed, we're genuinely passionate about what we're building.
  • The Benefits
  • At the company, we believe your career is more important than a list of perks. That's why we focus on making your day-to-day the best it can be — giving you the autonomy, access, and support to do the best work of your career.
  • Extensive health coverage
  • Annual expense budget
  • Rest and recovery policies that maximize your ability to recharge
  • Investment in your future with retirement savings plans
  • Professional development opportunities
  • The company is an equal opportunity employer and does not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classifications protected by federal, state, or local law.

Where you’d work

Fully remote

You can work from

  • United Kingdom

About the company

Company hidden

  • Industry: Cybersecurity

Your chances

Still hiring, not crowded yet, and you'd be among the first.

  • 18 checks run
  • 7 good signs
  • 0 red flags

Still hiring?

12 checks

Actively hiring

In its favour4

  • Still on the company's own careers site, checked 1 h agoModerate evidence
  • Found in the last 48 hours, before the big job boardsModerate evidence
  • Specific about the basics: pay, place, level, stack and contract all statedSlight evidence
1 moreFewer
  • A tight salary range, set for one seat: £145K to £165KSlight evidence

How crowded?

6 checks

Low

In its favour3

  • In its Early Window: not on the big job boards yetStrong evidence
  • Remote within United Kingdom onlySlight evidence
  • Senior level: far fewer people qualifySlight evidence

Fits Me

How well does this role fit you?

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  • Your field
  • Level
  • Stack
  • Work model
  • Salary floor
  • Must-haves
Details12 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • Go
  • Kubernetes
  • Linux
  • CI/CD
  • LLMs
  • Vector databases
Seniority
Senior
Type
Full-time
Industry
Cybersecurity
Specialty
Solutions Engineering
Region
United Kingdom
Show 6 more factsShow less

Role

Category
Solutions & Support
Specialty
Solutions Engineering
Seniority
Senior
Experience
5+ years
Tech stack
  • Go
  • Kubernetes
  • Linux
  • CI/CD
  • LLMs
  • Vector databases

Location

Work model
Remote
Region
United Kingdom
Remote from
  • United Kingdom

Compensation

Salary
£145,000 - 165,000 / year
Pay period
Annual

Employment

Type
Full-time

Company

Industry
Cybersecurity

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