
CreateFuture · Leeds
Working at CreateFuture CreateFuture is an AI-native consulting partner where people do work that matters and are supported to do it well. We work alongside or...
Working at CreateFuture
CreateFuture is an AI-native consulting partner where people do work that matters and are supported to do it well. We work
alongside organisations such as PayPal, adidas, NatWest, FanDuel and Money Saving Expert, building digital products and services
that make a difference while always putting people first.
We’re a team of creators. We write code, shape delivery, build go-to-market strategies, develop AI solutions and create the
practices that support our people. We work side by side with our clients, challenging what’s not working and helping them to build
the future. Our commitment to craft, quality, and culture has helped us scale to over 600 people in just a few years.
Our UK Benefits
View our full list of UK benefits.
CreateFuture is a Great Place to Work-Certified™ company and has won Best Workplaces UK multiple years in a row.
Join us on our journey. Let’s create tomorrow, together, today.
At CreateFuture, our Lead Engineer - Cloud plays a pivotal role in supporting the success of our Cloud engineers, our clients, and
internal projects. Working closely with clients, you are responsible for the successful delivery of client and internal projects
by building professional relationships with key client stakeholders, challenging where appropriate. Use your technical expertise
to provide best practice advice and processes within your project team and the wider capability.
As our client demands expand from traditional cloud migrations to AI enablement and platform engineering, you will lead the charge
in building autonomous platforms, managing AI lifecycles, and enforcing strict cost governance across cloud estates. You are seen
as a leader internally and externally, through your technical expertise, guidance, and professionalism, both on and off a client.
Alongside delivering for your customers, you will also support and mentor a team of cloud engineers to encourage their growth. You
will be setting the technical direction of the team alongside Cloud Leads and Senior Engineers.
commercial team to successfully land additional work.
role. Engage with the commercial team to drive high-value Cloud and Data advisory roles.
leveraging social media to support the growth of the Cloud capability.
efficient code for clients.
project teams, acting as either a technical lead or a solo contributor.
moving client architectures from static data lakes to dynamic Vector Databases and Retrieval-Augmented Generation (RAG)
architectures.
widening market implementation gap.
patterns across the entire CreateFuture organisation. Ensure Infrastructure as Code (IaC) is the organisational default and
challenge inefficient legacy processes.
into the Software Development Life Cycle (SDLC) as a standard. Understanding of OpenTelemetry or other telemetry approaches.
reusable components, reference architectures, and Proof of Concepts (PoCs). Supporting the internal IT function in helping
other parts of the business use Cloud services.
accountability.
development journeys and career aspirations.
within the department, supporting team members through tiered certification journeys.
debriefs, and strategic decision-making to attract top talent.
Skills & Experience
Candidates must demonstrate a hybrid skillset, balancing Software Engineering (30%), Platform/SRE (40%), and Data Engineering
(30%), with a core focus on Security, Governance, and Cost Management.
(clusters, nodes, pods), hardcore networking (VPC peering, Service Mesh, Zero Trust security), and solution architecture
experience, with a cost-optimisation mindset.
linting, vulnerability scanning, etc.) Production-level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI
Studio, LangChain, and writing automation scripts or custom AI agents using node or python.
methodologies, real-time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures.
systems (such as Karpenter, Infracost, OpenCost, or Cloud Custodian).
demonstrating an understanding of strict compliance, data privacy risks, and governance guardrails.
meeting strict SLAs, timescales, and budgets.
We trust people to do their best work. That means flexibility over rigid rules, impact over activity, and real investment in your
growth both professionally and personally. You’ll be part of a supportive, and friendly culture, surrounded by smart, curious
people who care deeply about what they do.
We offer flexible working, including hybrid and remote options. Our office hubs are located in Edinburgh, Leeds, Manchester,
London and Bulgaria, with occasional travel to client sites or CreateFuture offices when needed.
We trust you to manage your time balancing collaboration with client time and focused work. What matters is the impact you have,
not how busy you look.
We try to keep our hiring process clear, fair and respectful of your time. We aim to get back to everyone who applies and we will
be upfront about where you are in the process.
Depending on the role, we might also ask you to do a short presentation, a practical or technical task or have a values focused
conversation. We will explain what is involved before anything happens.
We believe diverse teams build better workplaces and better products. We want CreateFuture to be a place where people feel able to
be themselves and do their best work.
If you need any adjustments or support during the application process, just. We will do what we can to help.
We look forward to your application!
Working at CreateFuture CreateFuture is an AI-native consulting partner where people do work that matters and are supported to do it well. We work alongside organisations such as PayPal, adidas, NatWest, FanDuel and Money Saving Expert, building digital products and services that make a difference while always putting people first. We’re a team of creators. We write code, shape delivery, build go-to-market strategies, develop AI solutions and create the practices that support our people. We work side by side with our clients, challenging what’s not working and helping them to build the future. Our commitment to craft, quality, and culture has helped us scale to over 600 people in just a few years. Our UK Benefits * 35 days leave (including bank holidays). * Private medical insurance. * Enhanced parental and adoption leave. * Financial coaching + 5% pension match. * 40 hours of paid learning and development. View our full list of UK benefits. CreateFuture is a Great Place to Work-Certified™ company and has won Best Workplaces UK multiple years in a row. Join us on our journey. Let’s create tomorrow, together, today. About the role and team: A hands-on Lead engineer embedded in the client's platform team, responsible for the reliability, scalability, and evolution of their Kubernetes-based infrastructure on AWS. This role sits at the intersection of platform engineering and DevOps, owning the day-to-day health of containerised workloads while driving improvements to delivery pipelines, GitOps practices, and managed service configuration. The right candidate is comfortable working autonomously in a mature, opinionated stack and can influence without authority across engineering teams. This role combines deep hands-on expertise with team leadership, stakeholder engagement, and delivery planning. The right candidate can operate credibly at an engineering level while also communicating clearly with business and technical stakeholders, translating platform priorities into a coherent roadmap and ensuring the team has the clarity and support needed to deliver effectively. What you'll be doing: * Own the platform engineering roadmap, working with business and technical stakeholders to prioritise initiatives, surface risks, and align delivery against wider programme goals * Lead and mentor a team of platform engineers, providing technical guidance, supporting growth, and maintaining quality and consistency across the team's output * Act as the primary technical point of contact for platform-related matters across engineering, product, and operations teams * Support on call for the EKS platform. * Own the operational health and evolution of containerised workloads running on EKS, including Helm chart management and Kustomize-based environment configuration * Drive GitOps practices using Flux, maintaining, improving, and troubleshooting the reconciliation pipeline across environments * Manage and optimise core managed services: EKS, MSK, and RDS, including scaling, patching, cost governance, and incident response * Maintain and extend infrastructure-as-code using Terraform, ensuring consistency, modularity, and alignment with AWS best practices * Support and improve GitHub Actions CI/CD workflows, including build, test, and deployment pipelines for containerised applications * Collaborate with development teams to support the hosting, debugging, and performance of Java/Kotlin and Python-based services * Identify and address platform-level technical debt, contributing to a roadmap of incremental improvements * Support on call for the EKS platform. What you bring: * Kubernetes at production scale, EKS preferred, with strong understanding of networking, RBAC, resource management, and cluster operations * GitOps tooling, Flux (essential), with solid working knowledge of Helm and Kustomize * AWS managed services, hands-on experience with EKS, MSK, and RDS in production environments * Terraform, authoring and maintaining modular infrastructure-as-code across multiple environments * GitHub Actions, building and maintaining CI/CD pipelines for containerised workloads * Application-layer awareness, ability to support and troubleshoot Java/Kotlin and/or Python services running in containers * Strong operational mindset, with experience owning incident management, on-call frameworks, and post-incident review processes * Proven experience leading a platform or infrastructure engineering team, including mentoring, performance support, and day-to-day team management * Strong stakeholder management skills, able to engage confidently with technical and non-technical audiences, translate complexity into clear priorities, and manage competing demands WHAT WE’LL OFFER YOU: We trust people to do their best work. That means flexibility over rigid rules, impact over activity, and real investment in your growth both professionally and personally. You’ll be part of a supportive, and friendly culture, surrounded by smart, curious people who care deeply about what they do. We offer flexible working, including hybrid and remote options. Our office hubs are located in Edinburgh, Leeds, Manchester, London and Bulgaria, with occasional travel to client sites or CreateFuture offices when needed. We trust you to manage your time balancing collaboration with client time and focused work. What matters is the impact you have, not how busy you look. OUR HIRING PROCESS We try to keep our hiring process clear, fair and respectful of your time. We aim to get back to everyone who applies and we will be upfront about where you are in the process. It usually looks like this: * Call with our Talent Acquisition Team * Role specific capability interview Depending on the role, we might also ask you to do a short presentation, a practical or technical task or have a values focused conversation. We will explain what is involved before anything happens. INCLUSION AT CREATEFUTURE We believe diverse teams build better workplaces and better products. We want CreateFuture to be a place where people feel able to be themselves and do their best work. If you need any adjustments or support during the application process, just. We will do what we can to help. We look forward to your application!
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com. Who We Are: The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams. What You’ll Do: As a Senior Staff Software Engineer, you will help define and lead the vision for Reddit’s large-scale GenAI Platform, shaping the strategy, architecture, and operating model that enable teams across the company to build, deploy, and scale generative AI products with confidence. Contribute to the design, implementation, and maintenance of the LLM Gateway, focusing on features like unified API endpoints for internal/externally hosted LLM, rate/token limit management, and intelligent failover mechanisms to boost uptime and reliability. * Lead and execute the vision, strategy, and roadmap for Reddit’s large-scale GenAI Platform. * Define the platform architecture and operating model that enable teams to build, deploy, and scale GenAI products reliably. * Drive the strategy for a unified LAG Gateway supporting internally and externally hosted LLMs through consistent APIs and abstractions. * Set the direction for core platform capabilities such as rate and token limit management, intelligent failover, and production resilience. * Shape Reddit’s approach to an enterprise-grade RAG system * Establish the strategic direction for agentic AI workflows and tool-use patterns across the platform. * Own the end-to-end platform strategy from concept through production adoption and long-term evolution. * Drive MLOps and LLMOps standards across CI/CD, testing, versioning, evaluation, and lifecycle management. * Define best practices for observability, monitoring, governance, and operational excellence across GenAI systems. * Partner across engineering, product, and leadership to align platform investments with company priorities and user needs. * Champion platform thinking with a strong focus on scalability, reliability, performance, and developer experience. * Influence technical direction across teams by turning emerging AI capabilities into a scalable platform strategy. Who You Might Be: * 10+ years of experience in ML Engineering, AI Platform Engineering, or Cloud AI Deployment roles. * Have a track record of leading technical strategy and delivering AI platforms in cloud-based production environments at scale. * Demonstrate strong execution by turning strategy into action, driving complex initiatives end to end, and consistently delivering high-quality platform outcomes. * Bring deep experience operating Kubernetes and other orchestration systems in large-scale production environments. * Deep experience with cloud-based technologies for supporting an ML platform, including tools like AWS, Google Cloud Storage, infrastructure-as-code (Terraform), and more * Proficiency with the common programming languages and frameworks of ML, such as Go, Python, etc. * Excellent communication skills with the ability to articulate technical AI concepts to non-technical stakeholders * Strong focus on scalability, reliability, performance, and developer experience. You are an undying advocate for platform users and have a deep intuition for the genAI product development lifecycle. * Strong knowledge of model serving, inference pipelines, monitoring, and observability for AI systems is a plus Benefits: * Comprehensive Healthcare Benefits and Income Replacement Programs * 401k with Employer Match * Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support * Family Planning Support * Gender-Affirming Care * Mental Health & Coaching Benefits * Flexible Vacation & Paid Volunteer Time Off * Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/. To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $292,500—$409,500 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com. Who We Are: The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams. What You’ll Do: As a Senior Software Engineer, you will lead the development of a large-scale GenAI Platform at Reddit. * Contribute to the design, implementation, and maintenance of the LLM Gateway, focusing on features like unified API endpoints for internal/externally hosted LLM, rate/token limit management, and intelligent failover mechanisms to boost uptime and reliability. * Designed and developed ML and Generative AI systems in cloud-based production environments at scale. * Build and manage enterprise-grade RAG applications using embeddings, vector search, and retrieval pipelines. * Implement and operationalize agentic AI workflows with tool use using frameworks such as LangChain and LangGraph. * Drive adoption of MLOps / LLMOps practices, including CI/CD automation, versioning, testing, and lifecycle management. * Establish best practices for observability, monitoring, evaluation, and governance of GenAI pipelines in production. * Strong ownership mindset and platform thinking. * Ability to lead AI platform delivery from concept to production. Who You Might Be: * 5+ years of experience in ML Engineering, AI Platform Engineering, or Cloud AI Deployment roles. * Have experience operating orchestration systems such as Kubernetes at scale * Deep experience with cloud-based technologies for supporting an ML platform, including tools like AWS, Google Cloud Storage, infrastructure-as-code (Terraform), and more * Proficiency with the common programming languages and frameworks of ML, such as Go, Python, etc. * Excellent communication skills with the ability to articulate technical AI concepts to non-technical stakeholders * Strong focus on scalability, reliability, performance, and ease of use. You are an undying advocate for platform users and have a deep intuition for the genAI product development lifecycle. * Strong knowledge of model serving, inference pipelines, monitoring, and observability for AI systems is a plus * Strong proficiency in Python and experience with modern AI/ML frameworks (e.g. LangChain, Vertex AI Agent Builder, TensorFlow, PyTorch is a plus Benefits: * Comprehensive Healthcare Benefits and Income Replacement Programs * 401k with Employer Match * Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support * Family Planning Support * Gender-Affirming Care * Mental Health & Coaching Benefits * Flexible Vacation & Paid Volunteer Time Off * Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/. To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $190,800—$267,100 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.