Cloud Engineering & Architecture - Senior Platform Engineer AI - Vice President in London

Cloud Engineering & Architecture - Senior Platform Engineer AI - Vice President in London

London Full-Time 63000 - 77000 £ / year (est.) No working from home possible
United States Digital Space LLC

At a Glance

  • Tasks: Lead the design and development of cutting-edge cloud platforms and AI solutions.
  • Company: Join a leading global investment banking firm with a commitment to innovation.
  • Benefits: Enjoy competitive salary, comprehensive health benefits, and generous vacation policies.
  • Other info: Collaborative culture focused on diversity, inclusion, and professional growth.
  • Why this job: Make a real impact by solving complex engineering challenges in a fast-paced environment.
  • Qualifications: 10+ years in software or infrastructure engineering with deep AWS expertise.

The predicted salary is between 63000 - 77000 £ per year.

At the company, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. The company Engineers are innovators and problem-solvers, building solutions in Artificial Intelligence, risk management, big data, mobile and more.

As part of Core Engineering at the company, the Cloud Engineering & Architecture (CE&A) team is responsible for enabling the use of public cloud services across the firm. You will be working as part of a multi-disciplinary team responsible for researching, architecting and building a cutting‑edge platform that enables the company Engineering teams to deploy and manage services in public cloud safely and securely.

The organization is seeking highly collaborative, creative, and intellectually curious engineers who are passionate about developing and implementing cutting‑edge cloud computing and AI solutions. The ideal candidate will thrive in a DevOps culture and contribute to customer‑centric product development. They will work closely with cross‑functional teams, and will be creative collaborators who evolve, adapt to change and thrive in a fast‑paced global environment.

Responsibilities And Qualifications:

We are looking for a senior technical leader to join our Cloud Engineering & Architecture team and play a pivotal role in enabling the firm to maximize its use of cloud infrastructure. This is a hands‑on leadership position requiring deep technical expertise, strategic thinking, and the ability to drive large‑scale platform initiatives from conception to delivery.

Key Responsibilities:

  • Design, develop, and operationalize enterprise‑grade cloud platform capabilities.
  • Architect scalable, resilient, and secure infrastructure solutions on AWS.
  • Architect and operationalize autonomous AI based, self‑healing infrastructure.
  • Define technical standards, best practices, and reference architectures for cloud adoption across the firm.
  • Partner with engineering teams to enable seamless migration and modernization of workloads to the cloud.
  • Drive automation and infrastructure‑as‑code practices to improve operational efficiency.
  • Drive AI‑powered FinOps and predictive resource optimization.
  • Mentor and guide engineers across teams, raising the overall technical bar.
  • Collaborate with security, networking, and compliance teams to ensure platform meets regulatory and governance requirements.
  • Evaluate emerging technologies and make recommendations for platform evolution.
  • Participate in architecture design reviews and provide technical leadership on complex initiatives.

Complementary AI Based Skills:

  • Experience in designing, building, and deploying Large Language Model (LLM) orchestration frameworks (e.g., LangChain, Temporal, or custom agentic loops) to coordinate multi‑step diagnostic and remediation tasks.
  • Ability to integrate traditional observability stacks (e.g., Datadog, Prometheus, OpenTelemetry) with AI/ML models to automate root‑cause analysis, anomaly detection, and semantic log clustering.
  • Experience designing closed‑loop, self‑healing systems that autonomously execute recovery actions (e.g., traffic shifting, automated rollbacks, or service restarts) with built‑in verification and safety guardrails.
  • Deep understanding of applying machine learning and predictive analytics to dynamically right‑size cloud resources, manage spot instances, and optimize data platform workloads.
  • Ability to design algorithms that forecast workload demands and proactively scale infrastructure to prevent over‑provisioning while maintaining strict SLAs.

Complementary Behaviours:

  • A relentless focus on eliminating repetitive operational support and engineering friction by shifting platform operations from reactive troubleshooting to autonomous mitigation.
  • Demonstrates a disciplined approach to safety by implementing strict confidence thresholds, validation loops, and human‑in‑the‑loop fallbacks for autonomous AI actions.
  • Treats cost optimization as a first‑class architectural metric, aligning infrastructure spend directly with business value and platform efficiency.
  • Executes large‑scale optimization initiatives with a meticulous, risk‑mitigated approach, ensuring zero disruption to production environments or developer velocity.

Basic Qualifications:

  • 10+ years of experience in software engineering or infrastructure engineering.
  • Deep hands‑on expertise with AWS services (EC2, EKS, Lambda, S3, IAM, VPC, CloudFormation, CDK, etc.).
  • Strong background in platform engineering, building internal developer platforms, or infrastructure tooling.
  • Experience designing and operating large‑scale distributed systems.
  • Proficiency with infrastructure‑as‑code tools (Terraform, CloudFormation).
  • Strong understanding of containerization and orchestration (Docker, Kubernetes).
  • Experience with CI/CD pipelines and DevOps practices.
  • Knowledge of networking, security, and identity management in cloud environments.
  • Excellent communication skills with the ability to influence technical decisions across teams.
  • Experience working in regulated industries is a plus.

Preferred Qualifications:

  • AWS certifications (Solutions Architect Professional, DevOps Engineer, etc.).
  • Experience building self‑service platforms for development teams.
  • Familiarity with observability and monitoring tools (Prometheus, Grafana, Datadog, CloudWatch).
  • Background in financial services or other highly regulated environments.

At the company, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has several opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

We’re committed to finding reasonable accommodation for candidates with special needs or disabilities during our recruiting process.

Offer Best-In-Class Benefits

  • Healthcare & Medical Insurance: We offer a wide range of health and welfare programs that vary depending on office location.
  • Holiday & Vacation Policies: We offer competitive vacation policies based on employee level and office location.
  • Financial Wellness & Retirement: We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected.
  • Health Services: We offer a medical advocacy service for employees and family members facing critical health situations.
  • Fitness: To encourage employees to live a healthy and active lifestyle, some of our offices feature on‑site fitness centers.
  • Child Care & Family Care: We offer on‑site child care centers that provide full‑time and emergency back‑up care.

Read more about the full suite of class‑leading benefits our firm has to offer.

Cloud Engineering & Architecture - Senior Platform Engineer AI - Vice President in London employer: United States Digital Space LLC

United States Digital Space LLC is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration in the heart of Greater London. With a strong focus on employee well-being and flexible work options, we provide ample opportunities for professional growth and development, making it an ideal environment for those looking to make a meaningful impact in the field of AI-enabled SaaS engineering.

United States Digital Space LLC

Contact Details:

United States Digital Space LLC Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Cloud Engineering & Architecture - Senior Platform Engineer AI - Vice President in London

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We think you need these skills to ace Cloud Engineering & Architecture - Senior Platform Engineer AI - Vice President in London

Cloud Architecture
AWS Services (EC2, EKS, Lambda, S3, IAM, VPC, CloudFormation, CDK)
Infrastructure as Code (Terraform, CloudFormation)
Containerization and Orchestration (Docker, Kubernetes)
CI/CD Pipelines
DevOps Practices
AI Solutions Development

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at United States Digital Space LLC.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at United States Digital Space LLC and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at United States Digital Space LLC

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If United States Digital Space LLC uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.