Senior Enterprise Cloud Architect

SADA UK; City Of London; Remote; GBP 80,000 - 120,000; Full time

Job summary

A leading cloud solutions provider in the UK seeks a Senior Enterprise Cloud Architect to lead the design and development of AI-driven software solutions on Google Cloud Platform. In this role, you will oversee engineering projects, mentor teams, and collaborate closely with clients to ensure successful implementations. The ideal candidate has over 10 years of experience in software development and architecture, with strong skills in AI and cloud technologies.

Benefits

Paid holidays

Competitive compensation

Performance-based bonuses

Private medical insurance

Pension match

Qualifications

• Minimum of 10 years of experience in software development and architecture.
• At least 5 years in AI, ML, or data science.
• Proven track record of designing and implementing scalable software.

Responsibilities

• Lead design and deployment of scalable solutions for clients.
• Collaborate with teams to architect solutions.
• Conduct quality reviews and maintain transparent communication.

Skills

Software Development

Artificial Intelligence

Machine Learning

Cloud Architecture

Python

Java/Kotlin

REST APIs

Docker

Kubernetes

CI/CD

Education

Bachelor's or Master's degree in Computer Science or Software Engineering

Tools

GCP

TensorFlow

PyTorch

Scikit-learn

Job description

Join SADA as a Senior Enterprise Cloud Architect, AI-Powered Application Development

Your Mission

As a Senior Enterprise Cloud Architect at SADA, your main responsibility is to lead the design, prototyping, development, and deployment of scalable, AI-driven software solutions for our customers on Google Cloud Platform (GCP). You will be a hands-on leader, researching and presenting solutions, building prototypes to validate ideas, and spearheading the development of projects to deliver on your architectural vision.

Collaborating with customers, engineering teams, sales, and Googlers, you will architect solutions across multiple stacks, including APIs, web and mobile applications, and edge computing. You will act as the account CTO, overseeing software engineering and AI/ML projects for large and complex client engagements. Your mission is to help customers understand how Google Cloud technology, particularly in the AI and application development domains, can solve their technical challenges and enable future success.

What You Would Be Doing on a Daily Basis

• Work on diverse projects in various stages, from pre-sales to delivery.
• Design and prototype Proof of Concepts (PoCs) to gather customer and team feedback.
• Lead and mentor engineers on the project, providing hands-on technical guidance, especially when implementing niche architectural patterns.
• Conduct quality reviews of solutions delivered by other engineers.
• Maintain transparent communication with clients to provide progress updates, gather feedback, and identify new opportunities.
• Assist Project Managers and clients in making high-impact decisions to improve the quality and time-to-market of project delivery.
• Research and develop new processes and patterns to improve the quality and efficiency of future project delivery.

Pathway to Success

You will inspire cross-functional leadership from our engineering teams and be trusted to guide large enterprise engagements. Success in this role means establishing yourself as a renowned specialist within SADA, earning a reputation with customers and Google Cloud teams for your wide-ranging domain knowledge in both application modernization and artificial intelligence. Other engineers will defer to your expertise on project architectures. Collaborating with client architects and technology leaders, you will design expansive client initiatives. Your success will be measured by client satisfaction, deals won, and your contributions to the team's goals.

• Required Travel: You can expect up to 25% travel to customer sites, conferences, and other related events.
• Customer Facing: This is a daily customer-facing role. You will present solutions, architectures, demos, and other technical materials to build trust and confidence in SADA's capabilities.
• Onboarding/Training: The first several weeks are dedicated to learning, including training materials, compliance, and meetings with relevant team members.

Job Requirements

Required Credentials:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or 10 years of relevant work experience in software development and architecture.
• Google Professional Cloud Architect Certified, or able to complete the certification within the first 90 days of employment.

Required Qualifications:

• A minimum of 10 years of experience in software development and architecture, with at least 5 years of experience in artificial intelligence, machine learning, or data science.
• Proven track record of designing, implementing, and running scalable and reliable enterprise software solutions in production.
• Expertise in development with one or more of the following: Python, Java/Kotlin, SpringBoot, Golang, or Node.js.
• Strong experience leveraging GCP's AI/ML services (e.g., Vertex AI, AutoML, Cloud Natural Language, Vision AI).
• Experience with leveraging Generative AI in applications.
• Experience designing, building, and maintaining high-quality, developer-friendly REST APIs.
• Experience with containerization (Docker, Kubernetes) for deploying and managing AI/ML and application workloads.
• Experience providing leadership and direction on software development projects, ideally as a senior technical lead, VP of Engineering, or CTO.
• Ability to lead technical design sessions to architect and document solutions that align with client business goals.
• Experience with CI/CD pipelines and writing automated tests (unit, integration, end-to-end).
• Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.

Preferred Qualifications:

• Deep understanding of various ML algorithms (supervised, unsupervised, reinforcement learning) and popular ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Deep understanding of MLOps principles and their implementation on GCP using tools like Vertex AI Pipelines.
• Experience with other major cloud providers (Microsoft Azure or Amazon AWS).
• Experience with API management solutions such as Apigee or Mulesoft.
• Experience delivering real-time applications using streaming protocols like WebSockets or WebRTC.
• Familiarity with data architecture principles.
• Experience with Google Kubernetes Engine (GKE).
• Exposure to geospatial APIs and frameworks (Google Maps API, PostGIS).

About SADA An Insight company

Values: We built our core values on themes that internally compel us to deliver our best to our partners, our customers and to each other. Ensuring a diverse and inclusive workplace where we learn from each other is core to SADA’s values. We welcome people of different backgrounds, experiences, abilities, and perspectives. We are an equal-opportunity employer.

Benefits: Paid holidays, competitive and attractive compensation, performance-based bonuses, referral bonuses, private medical insurance, private dental insurance, life cover, income protection, pension match, professional development reimbursement, as well as Google-certified training programs.

Business Performance: SADA has been named to the INC 5000 Fastest-Growing Private Companies list for 15 years in a row, garnering Honoree status. CRN has also named SADA on the Top 500 Global Solutions Providers list for the past 5 years. The overall culture continues to evolve with engineering at its core: 3200+ projects completed, 4000+ customers served, 10K+ workloads and 30M+ users migrated to the cloud.

SADA is a remote-first company. Most roles are remote unless stated otherwise in the job description.