WALT Labs

About the Company

We are dedicated to helping businesses of all sizes and industries leverage the power of cloud technology. Our team of experts has the knowledge and experience to deliver customized solutions that meet our clients' unique needs and drive growth and efficiency.

Whether it's helping a small business migrate their data to the cloud, or assisting a large corporation with complex cloud infrastructure projects, we are committed to providing exceptional service and support. We strive to stay ahead of the curve when it comes to new developments in cloud technology, so our clients can always be confident that they are getting the latest and greatest solutions.

At the heart of our mission is a deep commitment to customer satisfaction. We understand that every business is different, and we take the time to listen to our clients and understand their goals and challenges. By working closely with our clients, we are able to deliver solutions that truly make a difference in their operations and bottom line.

Overall, our mission is to be a trusted partner for businesses as they navigate the complex world of cloud computing. We are passionate about helping our clients succeed, and we will go above and beyond to ensure that they have the support and expertise they need to thrive in today's digital landscape.

Listed Jobs

Company Name

WALT Labs

Job Title

Development Lead

Job Description

Company Description
WALT Labs is a modern Managed Services Provider, Cloud Consultancy & SaaS organisation focused on helping companies succeed with Google Cloud and Workspace. We’re looking for a Development Lead to play a key role in two areas: supporting our GCP and Workspace Managed Services customers through automation, tooling and leading the MSP team. Additionally, you will have a joint focus on leading the development of our internal platforms (& new product developments), Nitro (onboarding & automation) and Carbon (FinOps & CloudOps portal for GCP and Workspace customers).

Role Description
This is a full-time hybrid/remote role for a Development Lead located in the United Kingdom but can also be in Europe. The Development Lead will be responsible for leading and overseeing the development team & MSP team, ensuring the successful delivery of projects, support, and collaborating with clients to understand their goals and requirements. They will also be involved in the development of complex cloud infrastructure projects and staying up to date with new cloud technologies. Additionally, Looker, BigQuery and data wrangling experience is a massive bonus for this role, given how heavily used these tools are for our customers and software. This role reports directly into the Cheif Product & Technology Officer. This role is more of a focus on development operations vs software development, although does involve leading a team of software developers so an understanding of software development is a bonus.

Play a key part in leading the development of Nitro and Carbon, collaborating with product and design teams to turn ideas into high-impact features.
Build and maintain internal and customer-facing tools that enhance automation, observability, user onboarding, billing insights, and cost optimization across GCP and Workspace.
Design scalable, maintainable, and secure architectures for both internal platforms and Managed Services tooling.
Collaborate with Cloud Support Engineers and SREs to identify recurring pain points and opportunities for automation across customer environments in Managed Services.
Mentor junior engineers and support a healthy engineering culture focused on learning, quality, and continuous improvement.
Champion best practices in DevOps, code quality, testing, and CI/CD pipelines
Stay current with new features in Google Cloud and Workspace to identify opportunities for innovation and efficiency within our tools and services.
Assist on key projects related to direct customer delivery for things such as Data Analytics deployments and in some smaller cases, Workspace deployments.
Feedback key support points, from customers, into our products to enable a more seamless user experience.

Qualifications
Experience working in a similar role in the cloud technology industry
5+ years of development or DevOps experience, with 2+ in a leadership role
Hands-on experience with Google Cloud and Workspace APIs
Knowledge of CI/CD, Infrastructure as Code (Terraform a plus), and cloud-native tooling
Experience building SaaS or internal platforms — ideally in DevOps, FinOps, or MSP spaces
[Preferred but not required] Strong backend development skills (Node.js, TypeScript, or Python
[Preferred but not required] Experience working heavily in Data Analytics (BigQuery, Looker)

Salary
Between £55,000 - £90,000, depending on years of experience

Benefits
20 holiday days + bank holidays (earn 1.5 days every 3 years)
Private health insurance

United Kingdom

Remote

25-03-2025

Company Name

WALT Labs

Job Title

Customer Engineer (UK)

Job Description

As a Customer Engineer, you will be a key player in driving our customers' success by translating their business needs into innovative and effective technical solutions. You will partner with sales teams to understand customer challenges, design and present compelling solutions, and guide customers through the implementation and adoption of our products and services, with a focus on Generative AI solutions on Google Cloud. This role requires a blend of technical depth, business acumen, and strong communication skills, with a specialization in applying Generative AI technologies to solve complex business problems. A Customer Engineer needs a blend of strong technical skills in cloud-native technologies, including AI/ML, and excellent communication and problem-solving abilities to assist customers with their cloud solutions.

Core Focus: Google Cloud Platform (GCP) Expertise

Cloud-Native Proficiency: Kubernetes, containers, and serverless architectures
GCP Service Mastery: Deep knowledge of core GCP services (Compute Engine, Storage, SQL, BigQuery, etc.), with a strong emphasis on Vertex AI and other AI/ML offerings
Vertex AI: Expertise in building, deploying, and scaling machine learning models with Vertex AI, including AutoML, custom training, and pre-trained models. Understanding of Vertex AI's role in enabling generative AI solutions
GCP AI/ML Services: Knowledge of other relevant Google Cloud AI/ML services and APIs (e.g., Natural Language API, Vision API)
Infrastructure Automation: IaC with Terraform or Cloud Deployment Manager
Cloud Solution Design: Building scalable, secure, and resilient cloud architectures, including designing AI/ML infrastructure
Data Handling: Big data analytics, warehousing, and ETL/ELT processes, with a focus on leveraging data for AI/ML
Network & Security: Comprehensive understanding of cloud networking and security principles, including security best practices for AI/ML workloads
Database Management: Experience with SQL and NoSQL databases, including database solutions for AI/ML applications (e.g.,vector databases)
Experience with enterprise architecture frameworks and methodologies

Responsibilities:

Customer Engagement:
Partner with sales teams to identify and qualify business opportunities and understand key customer technical objections, with a focus on Generative AI opportunities
Develop strategies to overcome technical blockers and drive solution adoption, specifically for Generative AI solutions
Build and maintain strong relationships with key technical stakeholders and executive leaders at customer organizations, with an emphasis on understanding their Generative AI needs
Solution Design & Architecture:
Analyze customer business and technical requirements to design comprehensive solutions that address their needs, with a focus on Generative AI use cases
Develop and present solution architectures, including diagrams, documentation, and best practices, with a focus on integrating Generative AI components
Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement solutions, including Generative AI solutions
Technical Leadership:
Provide deep technical expertise to support customer engagements, including technology advocacy, product and solution briefings, and proofs-of-concept, with a focus on Google Cloud's Generative AI capabilities
Guide customers through assessments of their existing environments and provide recommendations for modernization and optimization, including incorporating Generative AI
Stay up-to-date on industry trends and emerging technologies, especially in Generative AI, and drive innovation and best practices
Collaboration:
Work closely with product management and engineering teams to prioritize customer needs and influence product development, including requirements for Generative AI products and services
Collaborate with internal teams and partners to ensure successful solution delivery and customer satisfaction, including Generative AI solutions
Share knowledge and best practices with the broader team and contribute to the development of internal tools and processes, including those related to Generative AI
Pre-sales Support
Participate in the technical aspects of Request for Proposals (RFPs), including those involving Generative AI solutions
Conduct product demonstrations and prototypes in customer environments, showcasing Google Cloud's Generative AI offerings
Experience in writing Statements of Work (SOWs) that clearly define project scope, deliverables, and timelines

Requirements

Qualifications

Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience preferred
3 + years of experience in a customer-facing technical role, such as solutions architect, sales engineer, or consultant
Strong understanding of cloud computing concepts, platforms, and services (preferably Google Cloud)

Supporting Technical Skills

Scripting: Proficiency in Python, Go, or Bash for automation
Problem-Solving: Strong troubleshooting and diagnostic abilities
Communication: Clear communication of complex technical information
Customer Service: Effective interaction and support for clients
DevOps Practices: Familiarity with DevOps principles and tools

Preferred Qualifications

Experience in migrating applications and services to cloud platforms
Experience with networking concepts such as software-defined networking, routing, virtual private networks, load balancers, and firewalls
Experience with security concepts such as encryption, identity management, access control, attack vectors, and penetration testing
Excellent presentation, communication, and interpersonal skills
Ability to travel to customer sites as needed


Benefits

Medical, Dental, Vision
PTO
Pension
Professional Development
Macbook Laptop
Remote work flexibility

London, United Kingdom

On site

01-04-2025