AI Cloud Platform Engineer

Triple Point

Since 2004, we’ve been bringing investment ideas to life and connecting capital with the right people and opportunities. Today, we manage more than £2.5 billion for a broad range of investors across five key investment strategies: Private Credit, Social Housing, Clean Heat, Energy and Venture. These strategies underpin the innovative range of investments we offer to both private (retail) and institutional clients.  There are 230+ employees at Triple Point, all committed to leaving the world demonstrably better than we found it. That’s why we’re a certified B Corp, signed up to the Principles for Responsible Investment, and were named a Sunday Times 'Best Place to Work  2025 & 2026'. If this sounds like an environment where you would flourish, then read on… The Function  The Digital and Technology team designs, builds and maintains the systems that power Triple Point. The function enables seamless connectivity, security and innovation across the organisation, creating tools and platforms that help colleagues and partners work smarter and deliver excellent outcomes.  The Team  This role sits within Technical Operations & Cyber, within the wider Digital and Technology function. The role works closely with colleagues across D&T, our MSP, our SOC and stakeholders across the business. The team is responsible for keeping our technology secure, reliable and high performing while improving delivery pace through automation, cloud engineering and emerging technology.  The Role  We are seeking a Senior DevOps Engineer to lead hands-on DevOps and platform engineering across Triple Point’s Microsoft cloud and AI delivery landscape.  You will design, build and operate secure deployment pipelines, automation, monitoring and infrastructure-as-code patterns that enable cloud and AI workloads to move safely and at pace. As our use of Claude Code, AI agents and automation grows, this role will provide the engineering foundations to run these capabilities reliably, securely and with clear governance.  Working closely with the Head of Technical Operations & Cyber and our Senior Cyber Engineer, you will help enable pragmatic, risk-aware decisions on cloud and AI tooling, ensuring a balance between delivery pace and security, governance and operational sustainability.  This is a delivery-focused role owning engineering work end-to-end, from discovery and design through to implementation, documentation and transition into BAU. You will help remove delivery bottlenecks, strengthen platform maturity and make practical recommendations that balance pace, reliability, security and usability.  Key Responsibilities  DevOps, Cloud Platform & CI/CD Engineering  * Design, build, maintain and improve CI/CD pipelines for cloud, integration, automation and AI workloads.  * Create reusable infrastructure-as-code patterns, templates and standards for secure, consistent cloud deployments.  * Improve release management, environment management and deployment controls across development, test and production environments.  * Support source control, branching, build, test and deployment practices that help teams deliver safely and efficiently.  * Build practical engineering standards for service principals, managed identities, secrets, configuration, certificates and environment separation.    Automation, AI Enablement & Developer Experience  * Enable safe, reliable deployment and operation of Claude Code, AI agents and similar AI-assisted development tooling.  * Automate repeatable operational, deployment and monitoring tasks to reduce manual effort and improve consistency.  * Develop self-service patterns, reusable scripts and documentation that make it easier for colleagues to adopt approved engineering practices.  * Work with current and future AI Team colleagues to lay the technical foundations for agent automation and cloud-based AI delivery.  * Identify opportunities to simplify tooling, reduce friction and improve the developer and stakeholder experience.    Reliability, Monitoring & Operational Readiness  * Design and improve monitoring, logging, alerting and reporting across pipelines, platforms and cloud workloads.  * Create runbooks, deployment checklists and operational handover materials that support effective BAU ownership.  * Support incident response, root-cause analysis and continuous improvement for deployment or platform reliability issues.  * Improve resilience, recovery and performance practices for key services and automation workloads.  * Use data from monitoring and service performance to recommend improvements and prioritise platform work.    Security, Governance & Documentation  * Embed security-by-design into DevOps practices, including least privilege, secure configuration, secrets management and change control.  * Work closely with Technical Operations & Cyber, the SOC and MSP partners to ensure cloud and AI tooling is operated securely.  * Maintain clear documentation of pipeline designs, infrastructure standards, access models, monitoring arrangements and operational guardrails.  * Support audits, assurance activity and evidence gathering where DevOps, cloud or platform controls are in scope.  * Balance security, usability and delivery pace when assessing risks, trade-offs and recommendations.    Collaboration, Planning & Continuous Improvement  * Plan and prioritise DevOps improvements based on impact, value, risk and delivery needs.  * Translate technical complexity into clear recommendations for technical and non-technical stakeholders.  * Partner constructively across Digital and Technology, internal stakeholders and external technology partners.  * Challenge current ways of working where needed and recommend pragmatic improvements with clear rationale.  * Share knowledge generously and help raise DevOps capability across the function and organisation.    Knowledge & Experience  Essential  * Significant hands-on experience in DevOps, platform engineering, cloud engineering or a closely related engineering role.  * Strong experience designing and maintaining CI/CD pipelines using tools such as Azure DevOps, GitHub Actions, GitLab CI or equivalent.  * Good working knowledge of Microsoft Azure and Microsoft cloud services, including deployment, access, monitoring and governance considerations.  * Experience with infrastructure-as-code and automation tools such as Terraform, Bicep, ARM templates, PowerShell or equivalent.  * Proficiency in Python for scripting, automation and tooling able to write, read and maintain production-quality scripts, not just adapt examples.  * Working knowledge of core Azure networking concepts, including VNets, NSGs, DNS, private endpoints and load balancers, with practical experience applying these in cloud and containerised workloads.  * Strong understanding of Git, source control workflows, release management, environment management and secure software delivery practices.  * Experience implementing monitoring, logging and alerting for cloud platforms, pipelines or application workloads.  * Strong grounding in cloud security principles, including identity and access, least privilege, secrets management, network security and secure configuration.  * Awareness of cloud cost management principles, including resource tagging standards, right-sizing, and governance for spend able to recommend efficient, cost-conscious approaches rather than just functional ones.  * Ability to translate technical requirements and risk considerations into pragmatic, well-documented engineering solutions.  * Comfortable working with the Head of Technical Operations & Cyber to make pragmatic, risk-aware decisions that balance delivery pace with security and governance requirements.  * Excellent communication skills, with the ability to work effectively with technical teams, senior stakeholders and external partners.  * A self-starter mindset, with strong planning, problem-solving and ownership of delivery outcomes.    Desirable  AI & Automation  * Experience deploying, governing or operating AI-assisted development tools, agent automation or cloud-based AI workloads.  Microsoft Platform  * Experience working with Microsoft 365, Entra ID, Intune, Sentinel, Azure Monitor, Log Analytics or similar Microsoft tooling.  * Relevant certifications such as AZ-400, AZ-104, AZ-305, AZ-500, Terraform Associate, GitHub certifications or equivalent hands-on experience.  Containers & Orchestration  * Experience with containers and orchestration technologies such as Docker, Kubernetes or Azure Container Apps.  Broader Platform & Integrations  * Experience supporting Salesforce, data platform, integration or business automation workloads.  Regulated Environments  * Experience working in a regulated services environment, ideally FCA-regulated.  Why Join us?  This is a key role at the point where DevOps, cloud automation and AI capability are becoming central to how Triple Point delivers technology safely and effectively.  * You’ll join a talented, collaborative team in a connected environment where ideas and initiative are valued.  * Be part of a growing and innovative team.  * We offer a competitive salary, a comprehensive benefits package, and genuine opportunities for growth and progression.  * Opportunities for professional development and career progression.  At Triple Point, high performance means living our values every day:  * Stay Curious.  * Be Generous.  * Take Thoughtful Action.  * Pull Together.  * Own It.  In line with our values Stay Curious and Take Thoughtful Action every employee has access to AI tools.  We see technology as a co-pilot, helping us improve efficiency and insight while keeping decisions grounded in thoughtful human judgement.  Triple Point offers a wealth of benefits including a contributory pension, hybrid/flexible working and ongoing learning and development opportunities. Check out our comprehensive list of benefits HERE.  Apply today for further information! Triple Point is dedicated to providing fair and equal opportunities for all individuals, including both current and potential employees. Discrimination of any kind based on factors such as age, disability, gender, sexual orientation, pregnancy, race, ethnicity, religion, gender identity, or marital status is not tolerated by the company. Our aim is to create a welcoming and diverse work environment where people from all walks of life feel valued and supported. We actively encourage individuals from various backgrounds to apply for job vacancies and become part of our team.  STRICTLY NO AGENCIES

Liberis

Some key info for you about Liberis:  🌱 We were founded in 2007 💰 We have provided over $3bn of funding to small businesses so far 🚀 We have been named in CNBC & Statista Top 150 UK Fintechs for 2025 🌍 We're a global team, with a dynamic presence in 6 key locations around the world 🧠 We're a thriving community of over 290 innovative minds 👩🏾 🤝 👨🏼 We're a vibrant melting pot, celebrating over 27 nationalities in our team 🏢 Our team brings experience from over 740 previous companies, from startups to global giants 🎯 We have just been named as one of FinTech’s Finest 50 by Welcome to the Jungle 💪 We’re proud to be an accredited Real Living Wage employer, ensuring everyone is paid fairly for the great work they do!   Our Product & Engineering Team: Liberis is building the embedded finance platform that lets partners around the world offer innovative funding products to their small business customers. We're a growth-stage fintech with teams in London, Nottingham, Atlanta, Stockholm, Munich and Mumbai, and we’re building a global Product, Data & Engineering team that thrives on autonomy, ownership, and is focused on impact! Our teams solve real-world problems for small businesses, shaping products that unlock opportunity at scale.  Engineering is going through an AI-first transformation, rethinking how teams are structured and how they ship. It's changing what a small team can do! We empower our teams to make decisions, move fast, and take full responsibility for the solutions they deliver. You’ll join a team where curiosity is encouraged and collaboration across Product, Data, Delivery and Engineering is the norm.   The role: The Cloud Platform team builds and operates the shared infrastructure and developer tooling that every engineering team at Liberis depends on. We’re now running all new services in GCP and are actively migrating onto GCP from our legacy Azure platform. As we scale our use of AI, we're looking to add a Senior Cloud Platform Engineer with an emphasis on AI Enablement to help build and run the shared infrastructure our product teams depend on and to expand how we use AI across the platform.  Our services are built in .NET, Node.js, and Python, primarily on both GCP and Azure. You'll work across the platform stack, and you'll be the person nudging us to make AI a practical, everyday part of how we build and operate. You'll spot where AI can make the platform and the teams on it faster, from AI-assisted developer tooling to agents that take real work off people's plates, and you'll help turn those ideas into things people use, with the guardrails and cost controls that make them safe to run.   What you'll get to do in the role: * Build and maintain the cloud infrastructure and tooling our product teams rely on, across compute, networking, CI/CD, and deployment on Kubernetes or Cloud Run. * Champion AI agent adoption across the platform: spot where agents can take on real work, prototype it, and turn the promising work into supported, reusable capabilities teams can build on. * Build the foundations for AI agents: integrations with Claude, the tools and services agents call, and the orchestration that ties them together. * Wire observability, guardrails, and cost controls into the AI agents and tooling we run, so they stay safe and predictable in production. * Work hands-on with the AI tooling and agent frameworks we build on — Claude in particular, which we use extensively — and bring what you learn back to the wider team. * Manage infrastructure with Terraform, keeping environments consistent, auditable, and reproducible. * Contribute to our Azure-to-GCP migration thinking, especially what it means for our AI tooling and agents. * Partner with product engineers to lower the barrier to using AI, writing the docs, templates, and examples that drive adoption.   What we think you'll need: * Genuine enthusiasm for AI agents and a desire to help us adopt them well. You don't need a machine-learning or model-training background — this is about building with tools like Claude, not training or serving models — but you should be keen to learn and to lead by doing. * Strong GCP experience (Azure experience is nice to have) * Comfortable with containerisation (Docker) and deployment on Kubernetes or Cloud Run. * Infrastructure-as-code with Terraform. * Proficient in at least one of .NET (C#), Node.js, or Python. * Observability experience with Datadog or cloud-native logging and monitoring (GCP Cloud Operations or Azure Monitor). * A track record of driving adoption — building things engineers use, writing docs that get read. * Comfortable leading technical decisions, collaborating across teams, and mentoring other engineers.   Career development is really important to us here at Liberis, with progression opportunities for both individual contributors and people managers. You can have a look through our Engineering Career Framework via this link  Our hybrid approach Working together in person helps us move faster, collaborate better, and build a great Liberis culture. Our hybrid working policy requires team members to be in the office at least 3 days a week. At Liberis, we embrace flexibility as a core part of our culture, while also valuing the importance of the time our teams spend together in the office. #LI-FC1

Liberis

Some key info for you about Liberis:  🌱 We were founded in 2007 💰 We have provided over $3bn of funding to small businesses so far 🚀 We have been named in CNBC & Statista Top 150 UK Fintechs for 2025 🌍 We're a global team, with a dynamic presence in 6 key locations around the world 🧠 We're a thriving community of over 290 innovative minds 👩🏾 🤝 👨🏼 We're a vibrant melting pot, celebrating over 27 nationalities in our team 🏢 Our team brings experience from over 740 previous companies, from startups to global giants 🎯 We have just been named as one of FinTech’s Finest 50 by Welcome to the Jungle 💪 We’re proud to be an accredited Real Living Wage employer, ensuring everyone is paid fairly for the great work they do!   Our Product & Engineering Team: Liberis is building the embedded finance platform that lets partners around the world offer innovative funding products to their small business customers. We're a growth-stage fintech with teams in London, Nottingham, Atlanta, Stockholm, Munich and Mumbai, and we’re building a global Product, Data & Engineering team that thrives on autonomy, ownership, and is focused on impact! Our teams solve real-world problems for small businesses, shaping products that unlock opportunity at scale. Engineering is going through an AI-first transformation, rethinking how teams are structured and how they ship. It's changing what a small team can do! We empower our teams to make decisions, move fast, and take full responsibility for the solutions they deliver. You’ll join a team where curiosity is encouraged and collaboration across Product, Data, Delivery and Engineering is the norm.   The role: Joining our Cloud Platform team as a Lead DevEx Engineer, you will play a key role in improving how engineers build, ship and operate services across Liberis. This is a brand new role created to bridge the gap between application development and platform engineering - creating a more consistent, scalable developer experience as we continue to evolve our platform strategy. You will focus on building for engineers - creating and shaping the templates, standards and foundations used across services. Alongside this, you will have the opportunity to contribute to emerging platform initiatives, including work that supports AI enablement across the engineering organisation.  This is a high-impact role with real scope to influence how engineering works at Liberis!   What you'll get to do in the role: * Own and evolve the service template library for .NET, Node.js, and Python — covering project scaffolding, dependency management, containerisation, local dev setup, and production configuration. Templates are generated, not forked, so keeping them current and opinionated matters. * Build and maintain CI/CD pipeline templates in GitHub Actions and/or Azure DevOps, covering build, test, security scanning, and deployment — consistent across stacks and reusable across teams. * Define and ship observability standards: structured logging, distributed tracing, and alerting integrated into service templates so every new service is production-ready from day one. * Work hands-on with Datadog, incident.io, and/or GCP/Azure-native logging and monitoring tooling to build the platform-level observability layer teams plug into. * Contribute to our thinking on a potential Azure-to-GCP migration — helping assess what changes for developer tooling and service templates and building proof-of-concept work that informs the decision. * Partner with product engineers to understand where developer experience breaks down — slow pipelines, confusing templates, missing runbooks — and fix the root causes, not the symptoms. * Lead technical decisions on platform tooling: evaluate new tools, write ADRs, and drive adoption of improvements across multiple engineering teams. * Mentor engineers in the Cloud Platform team and act as a go-to resource for product engineers getting to grips with platform tooling.   The interview process: * Screening call with Chess (Internal Recruiter) (30 mins) * Video interview with the Hiring Manager (45 mins) * In person code pairing interview with a member of Engineering team (1 hour) * Video interview with the wider Liberis team (1 hour)   What we think you'll need: * Proficient in at least one of .NET (C#), Node.js and Python — able to build, configure, and template production-grade services in each. * Strong GCP experience (Azure experience is nice to have) * Hands-on experience designing reusable CI/CD pipeline templates — GitHub Actions or Azure DevOps — consistent across stacks and teams. * Comfortable with containerisation (Docker) and deployment on Kubernetes or Cloud Run. * Observability experience with at least one of: Datadog, incident.io, or cloud-native logging and monitoring (GCP Cloud Operations or Azure Monitor). * Infrastructure-as-code with Terraform. * A proven track record of driving adoption — building things engineers use, writing docs that get read.   Career development is really important to us here at Liberis, with progression opportunities for both individual contributors and people managers. You can have a look through our Engineering Career Framework via this link  Our hybrid approach Working together in person helps us move faster, collaborate better, and build a great Liberis culture. Our hybrid working policy requires team members to be in the office at least 3 days a week. At Liberis, we embrace flexibility as a core part of our culture, while also valuing the importance of the time our teams spend together in the office. #LI-FC1