AI DevOps Engineer, Cubic3
Global connected software & analytics
Be an early applicant
Global connected software & analytics
201-500 employees
Be an early applicant
201-500 employees
Company mission
To solve connectivity challenges for OEMs so they can capitalise on the enormous commercial opportunities the SDCV era will deliver the industry.
Role
Who you are
- Bachelor’s degree in computer science, IT, computer/electronic engineering, or related discipline
- 4 years’ experience in a DevEx, DevOps, Build or Release engineering role
- A self-starter with a proven ability to work independently, managing their own time and workload effectively
- Able to understand and communicate thoughts, ideas and design specifications in an unambiguous manner
- Can effectively communicate with leads and members of cross functional teams
- Comfortable presenting in front of small groups of individual contributors and leadership
- Experience as a Build/Release Engineer in an Agile development environment
- Strong experience of deploying infrastructure, applications and databases in AWS or Azure, including container and .NET Core deployments
- Strong experience of leveraging AWS services and automation
- Strong scripting and automation skills e.g (PowerShell, Python)
- Experience on CI/CD and Blue/Green deployments
- Experience managing and integrating with Engineering Portals
- Experience with any of the following build and deployment automation platforms or similar tooling: Azure DevOps, GitLab, Bamboo, Teamcity, Jenkins, Octopus Deploy
- Experience using Git, Gitflow (branching model)
- Strong problem-solving skills
- Strong attention to detail
Desirable
- Ability to act as a mentoring resource for colleagues with less experience
- Experience using Atlassian tools, e.g., Confluence, Jira
- Experience working in a lean engineering model
- Strong industry experience with leading companies
- Additional background in a Developer role preferable
- Cloud-based certifications will be of benefit
What the job involves
- Cubic is looking for an energetic, enthusiastic hands-on AI-focused DevOps Engineer who can bridge the gap between AI model production and developer experience
- You’ll design and operate scalable CI/CD pipelines, LLM model deployment & observability, secure infrastructure, and tooling that empower data scientists, software engineers and the wider organisation to deliver AI-powered features and workflows quickly and safely
- The role will be a part of DevEx team in the Infrastructure and Operations group
- This team creates an engineering experience for teams by streamlining tools, environments, and practices to accelerate development, create consistency in delivery, improve quality, and reduce friction across the software lifecycle
- Building and maintaining the AI developer experience tooling (CI/CD pipelines for LLMs, cloud infrastructure for AI tooling, model packaging)
- Designing and implementing scalable, reliable LLM deployment pipelines, by developing and maintaining reusable automation scripts and components with a variety of build and deployment automation tools, including but not limited to: git implementations (e.g. Azure DevOps/GitLab/GitHub), build runners deployment automation and IaC (infrastructure as code) scripts
- Working closely with Engineering Managers and architecture to align and implement best practices
- Pro-actively working with cross-functional teams including AI focused engineers to drive DevOps practices and tooling adoption
- Integrating with and expanding on Engineering Quality Dashboards and Engineering Portals to provide developer experience metrics and insights; gather feedback and drive iterative improvements, leveraging our AI solutions
- Building and maintaining internal business AI tooling and workflows
Our take
Cubic³ develops IoT-based global connected software that allows vehicles to automatically connect to local mobile networks. Since the company’s acquisition in 2008, Cubic³ has built up a strong customer base, including Audi, Bentley, Lamborghini, Microsoft, Porsche, and Volkswagen.
Cubic³'s IoT solutions have proven to be a hit in the automotive, agricultural, and transportation industries. This is in part because they allow vehicle and device manufacturers to avoid making agreements with multiple mobile service operators. This, in turn, solves tech complexities with integration and worries about compliance from country to country.
The connected car market, forecast to surpass $50B, highlights Cubic³'s strong position. SoftBank's €473M acquisition of a controlling stake in 2023 values Cubic³ at over €900M. This strategic move positions the company well for further expansion, with plans to bolster staff numbers in Ireland, mainland Europe, and the US.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
17% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Jan 2020
$12.4m
LATE VC
Aug 2017
$47m
SERIES C
Total funding: $96.3m
Company benefits
- 25 days annual leave + 2 company days
- Health Insurance
- Pension Contribution
- ESOP
- Tax saver scheme
- Bike to work scheme
- Sports and social activities
- Great annual office outings (Summer BBQ, Christmas party, charity runs)
- Bits & Bobs days (Half day every quarter to get your Bits & Bobs done)
- Learning and Development Opportunities
Company HQ
Blackthorn, Dublin, Ireland
Leadership
Barry Napier
(CEO & Executive Chairman)Acquired Cubic Telecom in late 2008. Prior to this, they were the CEO of a tech company where they led the acquisition and integration of the Irish Arm (Brightpoint Ireland).
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