10 jobs found

We're looking for an exceptional Paid Media Lead to lead and evolve our paid media offering across paid search and paid social. This is a senior leadership role for someone with deep channel expertise, strong commercial instinct, and the ambition to shape product, build capability, and drive meaningful growth for both clients and the agency. Working across a diverse mix of clients, from ambitious growth businesses to established multi-nationals, you'll define strategy, raise the standard of delivery, and help push our Performance proposition forward. You'll also play a central role in advancing our automation agenda, improving efficiency, strengthening performance, and creating competitive advantage through smarter ways of working. Purpose of the role Reporting to the Discoverability & Growth Strategy Director, you will be instrumental in scaling and maturing our paid media capability at Trunk. You'll define what best-in-class paid media looks like for the agency, lead the development of our product offering, and champion automation, measurement, audience strategy, and creative testing approaches that improve both efficiency and effectiveness. Working closely with the wider Performance and Creative teams, you'll deliver outstanding outcomes for clients while helping shape the next stage of the agency's growth. What you'll do Own and evolve the agency's paid media product, defining our service offering, pricing models, and competitive positioning. Lead the automation agenda by identifying, testing, and implementing opportunities that reduce manual workload while improving performance outcomes. Build and document scalable frameworks, processes, and methodologies that can be applied consistently across accounts and team members. Develop proprietary tools, scripts, dashboards, and workflow improvements that strengthen our offer and create operational efficiency. Define and lead paid media strategy across paid search and paid social, ensuring activity is aligned to clear commercial goals and measurable business outcomes. Innovation & capability building Champion emerging capabilities across paid media, including AI-driven optimisation, privacy-first measurement, audience strategy, creative testing, and automation-led delivery. Create training and knowledge-sharing initiatives that upskill the team in advanced channel strategy, platform innovation, and smarter ways of working. Build strong relationships with platform partners to maintain leading-edge knowledge and access to new opportunities. Contribute to agency-wide innovation initiatives and thought leadership, helping position Trunk as a credible authority in modern paid media. Own senior client relationships, translating performance into meaningful business insight, strategic direction, and clear recommendations. Drive commercial impact through client retention, growth opportunities, and new business support. Lead audits, strategic reviews, and pitch input for new business opportunities, showcasing the strength of our proposition and our approach to automation and performance. Line manage and develop a Paid Media team, supporting their progression and helping build leadership capability within the team. Set high standards for planning, optimisation, testing, reporting, and account leadership across the paid media function. Foster a culture of continuous improvement, experimentation, accountability, and automation-first thinking. Analysis & integration Analyse cross-account performance data to identify trends, opportunities, and strategic insight that strengthen the wider practice. Work closely with Creative, SEO, and other Performance teams to deliver integrated strategies that connect channel planning with audience, message, and conversion outcomes. Identify where automation can enhance delivery without replacing strong strategic thinking, creative judgement, or collaboration. 5+ years working in paid media with demonstrable strategic and commercial impact. Proven track record of implementing automation solutions, including scripts, rules, API integrations, platform automation, or custom tools that delivered measurable efficiency or performance gains. Deep expertise across paid search and paid social spanning lead generation, e-commerce, and brand performance. Experience managing £5m+ in annual ad spend across multiple accounts. Track record of consistently delivering 25%+ YoY performance improvements. Proven experience managing and developing paid media professionals. Technical & strategic capabilities Strong product thinking, with the ability to define, package, and evolve service offerings that meet market needs. Advanced knowledge of AI-driven optimisation, automation strategies, privacy-first measurement approaches, and modern platform capabilities across search and social. Experience building or implementing reporting, optimisation, and workflow automation tools. Strong understanding of creative testing, audience strategy, and full-funnel planning across paid media. Strategic thinker who can balance long-term vision with short-term execution. Exceptional analytical skills, with the ability to turn complex data into clear, actionable insight. Commercial & leadership skills Strong commercial acumen with experience driving client growth and supporting new business. Confident presenting to C-level stakeholders and translating technical channel performance into business value. Self-directed, with the ability to manage multiple priorities and move initiatives forward independently. Clear perspective on paid media's evolving role in the marketing mix, with the confidence to influence both client and agency thinking. Outstanding communication skills, both written and verbal. A genuine drive to improve how things work, with a strong bias for action, efficiency, and building smarter systems. Your rewards Competitive salary with 11 life balance days (a half day each month, except December). Additional holiday for each year of service, up to a total of 5 extra days. Early finish on a Friday. Option to buy an extra week's holiday. Private health insurance covering pre existing conditions, cancer care, and cashback for routine optical and dental treatments. Life assurance. Enhanced maternity and paternity pay. And we offer Working from our Manchester office with flexibility for hybrid working. Access to a personal trainer/nutritionist, free fruit, and breakfast. Mental health support and access to professional therapists through 'Spill'. Yearly peer feedback and performance reviews tailored to personal development plans and objectives. Access to industry-accredited professional qualifications through our IPA membership. Employee voice: we consult our people on matters affecting them and encourage participation in surveys, our suggestions box and employee awards. A social buddy, monthly agency socials, and events put on by our culture committee. Lunch & Learn events to gain more understanding of different facets of agency life.

Position Overview At CreateFuture, the Senior Cloud Engineer is a vital individual contributor and a technical driving force within our delivery teams. You will work closely with clients and delivery teams to bridge the implementation gap, assisting with architectural designs and transforming them into production systems using autonomous and AI-native platforms. This role requires a modern, hybrid engineering approach, blending infrastructure mastery with software development and data engineering principles. You will act as a technical expert on projects, building trusted relationships with client stakeholders, establishing engineering best practices, and mentoring engineers within the Cloud capability. Furthermore, you will actively contribute to setting engineering standards that influence the whole CreateFuture organisation. Key Responsibilities High-Quality Execution: Proactively contribute to project teams by providing technical guidance, resolving complex technical blockages, supporting migration efforts and writing high-quality, spec-driven code. Platform Engineering: Build and maintain independent, self-service developer platforms that allow engineering teams to spin up compliant, ephemer environments automatically using GitOps workflows. AI & Agentic Infrastructure: Implement the data pipelines, workflow orchestrations, and specialised compute footprints needed to support enterprise AI applications, using technologies like AWS Bedrock and AWS AgentCore. Observability & Reliability: Build robust monitoring and observability pipelines to ensure the health, performance, and security of distributed cloud applications and AI models. FinOps Standards: Embed automated cost-estimation tools into the standard CI/CD deployment pipelines, ensuring auto-shutdown policies and resource optimisation are configured by default. Consultancy & Client Alignment Client Advisory: Collaborate with diverse stakeholders, including tech leads, project managers, and enterprise architects, to ensure successful project delivery according to timelines and budgets. Commercial Growth: Have a growth mindset on projects, recognising potential operational bottlenecks or new requirements, and own communicating these throughout the team for new opportunities. Best Practice Champion: Establish best practice tools and processes within client environments, confidently challenging legacy ways of working where appropriate. Capability & Leadership Support Mentoring: Support and mentor engineers within CreateFuture and our client teams, helping them navigate their learning and technical skill gaps. Community Contribution: Actively engage in the internal engineering communities, helping to build out an internal repository of reference architectures, Infrastructure as Code templates, and technical blogs. Culture and Feedback: Help foster an inclusive, collaborative, and psychologically safe team environment by providing timely, open, and honest technical feedback. Skills & Experience Core Technical Capabilities Candidates must demonstrate a hybrid balance across the three strategic pillars: Software Engineering (30%), Infrastructure (40%), and Data Engineering (30%). Infrastructure & Automation (40%): Lots of experience in writing declarative Infrastructure as Code using Terraform, container orchestration with Kubernetes (managing clusters, nodes, and pods), and building CI/CD pipelines via GitHub Actions. Software & Agentic Engineering (30%): Proficiency with modern scripting languages for building custom AI agents, configuring workflow orchestration, connecting enterprise API integrations, and implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application of real-time monitoring and cloud cost optimisation using native CSP tools or utilities like Infracost and Karpenter. Domain & Sector Experience Regulated Industries: Experience delivering secure platforms within highly regulated environments, such as iGaming, financial services, or banking, where zero trust security and strict compliance controls are mandatory is highly advantageous. Consulting: Proven experience operating in a client-facing or consulting engineering role, demonstrating strong communication skills, relationship-building capabilities, and adaptability across changing technical contexts. Preferred Knowledge-level & Certifications Associate-level cloud certifications (e.g., AWS Solutions Architect Associate or Azure AZ-104). At least one professional-level certification. Progressing toward or holding multiple professional certifications such as CKA (Certified Kubernetes Administrator), AWS ML Engineer Associate, or FinOps Certified Practitioner. 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.

Position Overview At CreateFuture, the Senior Cloud Engineer is a vital individual contributor and a technical driving force within our delivery teams. You will work closely with clients and delivery teams to bridge the implementation gap, assisting with architectural designs and transforming them into production systems using autonomous and AI-native platforms. This role requires a modern, hybrid engineering approach, blending infrastructure mastery with software development and data engineering principles. You will act as a technical expert on projects, building trusted relationships with client stakeholders, establishing engineering best practices, and mentoring engineers within the Cloud capability. Furthermore, you will actively contribute to setting engineering standards that influence the whole CreateFuture organisation. Key Responsibilities High-Quality Execution: Proactively contribute to project teams by providing technical guidance, resolving complex technical blockages, supporting migration efforts and writing high-quality, spec-driven code. Platform Engineering: Build and maintain independent, self-service developer platforms that allow engineering teams to spin up compliant, ephemer environments automatically using GitOps workflows. AI & Agentic Infrastructure: Implement the data pipelines, workflow orchestrations, and specialised compute footprints needed to support enterprise AI applications, using technologies like AWS Bedrock and AWS AgentCore. Observability & Reliability: Build robust monitoring and observability pipelines to ensure the health, performance, and security of distributed cloud applications and AI models. FinOps Standards: Embed automated cost-estimation tools into the standard CI/CD deployment pipelines, ensuring auto-shutdown policies and resource optimisation are configured by default. Consultancy & Client Alignment Client Advisory: Collaborate with diverse stakeholders, including tech leads, project managers, and enterprise architects, to ensure successful project delivery according to timelines and budgets. Commercial Growth: Have a growth mindset on projects, recognising potential operational bottlenecks or new requirements, and own communicating these throughout the team for new opportunities. Best Practice Champion: Establish best practice tools and processes within client environments, confidently challenging legacy ways of working where appropriate. Capability & Leadership Support Mentoring: Support and mentor engineers within CreateFuture and our client teams, helping them navigate their learning and technical skill gaps. Community Contribution: Actively engage in the internal engineering communities, helping to build out an internal repository of reference architectures, Infrastructure as Code templates, and technical blogs. Culture and Feedback: Help foster an inclusive, collaborative, and psychologically safe team environment by providing timely, open, and honest technical feedback. Skills & Experience Core Technical Capabilities Candidates must demonstrate a hybrid balance across the three strategic pillars: Software Engineering (30%), Infrastructure (40%), and Data Engineering (30%). Infrastructure & Automation (40%): Lots of experience in writing declarative Infrastructure as Code using Terraform, container orchestration with Kubernetes (managing clusters, nodes, and pods), and building CI/CD pipelines via GitHub Actions. Software & Agentic Engineering (30%): Proficiency with modern scripting languages for building custom AI agents, configuring workflow orchestration, connecting enterprise API integrations, and implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application of real-time monitoring and cloud cost optimisation using native CSP tools or utilities like Infracost and Karpenter. Domain & Sector Experience Regulated Industries: Experience delivering secure platforms within highly regulated environments, such as iGaming, financial services, or banking, where zero trust security and strict compliance controls are mandatory is highly advantageous. Consulting: Proven experience operating in a client-facing or consulting engineering role, demonstrating strong communication skills, relationship-building capabilities, and adaptability across changing technical contexts. Preferred Knowledge-level & Certifications Associate-level cloud certifications (e.g., AWS Solutions Architect Associate or Azure AZ-104). At least one professional-level certification. Progressing toward or holding multiple professional certifications such as CKA (Certified Kubernetes Administrator), AWS ML Engineer Associate, or FinOps Certified Practitioner. 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.

Position Overview At CreateFuture, the Senior Cloud Engineer is a vital individual contributor and a technical driving force within our delivery teams. You will work closely with clients and delivery teams to bridge the implementation gap, assisting with architectural designs and transforming them into production systems using autonomous and AI-native platforms. This role requires a modern, hybrid engineering approach, blending infrastructure mastery with software development and data engineering principles. You will act as a technical expert on projects, building trusted relationships with client stakeholders, establishing engineering best practices, and mentoring engineers within the Cloud capability. Furthermore, you will actively contribute to setting engineering standards that influence the whole CreateFuture organisation. Key Responsibilities High-Quality Execution: Proactively contribute to project teams by providing technical guidance, resolving complex technical blockages, supporting migration efforts and writing high-quality, spec-driven code. Platform Engineering: Build and maintain independent, self-service developer platforms that allow engineering teams to spin up compliant, ephemer environments automatically using GitOps workflows. AI & Agentic Infrastructure: Implement the data pipelines, workflow orchestrations, and specialised compute footprints needed to support enterprise AI applications, using technologies like AWS Bedrock and AWS AgentCore. Observability & Reliability: Build robust monitoring and observability pipelines to ensure the health, performance, and security of distributed cloud applications and AI models. FinOps Standards: Embed automated cost-estimation tools into the standard CI/CD deployment pipelines, ensuring auto-shutdown policies and resource optimisation are configured by default. Consultancy & Client Alignment Client Advisory: Collaborate with diverse stakeholders, including tech leads, project managers, and enterprise architects, to ensure successful project delivery according to timelines and budgets. Commercial Growth: Have a growth mindset on projects, recognising potential operational bottlenecks or new requirements, and own communicating these throughout the team for new opportunities. Best Practice Champion: Establish best practice tools and processes within client environments, confidently challenging legacy ways of working where appropriate. Capability & Leadership Support Mentoring: Support and mentor engineers within CreateFuture and our client teams, helping them navigate their learning and technical skill gaps. Community Contribution: Actively engage in the internal engineering communities, helping to build out an internal repository of reference architectures, Infrastructure as Code templates, and technical blogs. Culture and Feedback: Help foster an inclusive, collaborative, and psychologically safe team environment by providing timely, open, and honest technical feedback. Skills & Experience Core Technical Capabilities Candidates must demonstrate a hybrid balance across the three strategic pillars: Software Engineering (30%), Infrastructure (40%), and Data Engineering (30%). Infrastructure & Automation (40%): Lots of experience in writing declarative Infrastructure as Code using Terraform, container orchestration with Kubernetes (managing clusters, nodes, and pods), and building CI/CD pipelines via GitHub Actions. Software & Agentic Engineering (30%): Proficiency with modern scripting languages for building custom AI agents, configuring workflow orchestration, connecting enterprise API integrations, and implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application of real-time monitoring and cloud cost optimisation using native CSP tools or utilities like Infracost and Karpenter. Domain & Sector Experience Regulated Industries: Experience delivering secure platforms within highly regulated environments, such as iGaming, financial services, or banking, where zero trust security and strict compliance controls are mandatory is highly advantageous. Consulting: Proven experience operating in a client-facing or consulting engineering role, demonstrating strong communication skills, relationship-building capabilities, and adaptability across changing technical contexts. Preferred Knowledge-level & Certifications Associate-level cloud certifications (e.g., AWS Solutions Architect Associate or Azure AZ-104). At least one professional-level certification. Progressing toward or holding multiple professional certifications such as CKA (Certified Kubernetes Administrator), AWS ML Engineer Associate, or FinOps Certified Practitioner. 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.

Position Overview At CreateFuture, the Senior Cloud Engineer is a vital individual contributor and a technical driving force within our delivery teams. You will work closely with clients and delivery teams to bridge the implementation gap, assisting with architectural designs and transforming them into production systems using autonomous and AI-native platforms. This role requires a modern, hybrid engineering approach, blending infrastructure mastery with software development and data engineering principles. You will act as a technical expert on projects, building trusted relationships with client stakeholders, establishing engineering best practices, and mentoring engineers within the Cloud capability. Furthermore, you will actively contribute to setting engineering standards that influence the whole CreateFuture organisation. Key Responsibilities High-Quality Execution: Proactively contribute to project teams by providing technical guidance, resolving complex technical blockages, supporting migration efforts and writing high-quality, spec-driven code. Platform Engineering: Build and maintain independent, self-service developer platforms that allow engineering teams to spin up compliant, ephemer environments automatically using GitOps workflows. AI & Agentic Infrastructure: Implement the data pipelines, workflow orchestrations, and specialised compute footprints needed to support enterprise AI applications, using technologies like AWS Bedrock and AWS AgentCore. Observability & Reliability: Build robust monitoring and observability pipelines to ensure the health, performance, and security of distributed cloud applications and AI models. FinOps Standards: Embed automated cost-estimation tools into the standard CI/CD deployment pipelines, ensuring auto-shutdown policies and resource optimisation are configured by default. Consultancy & Client Alignment Client Advisory: Collaborate with diverse stakeholders, including tech leads, project managers, and enterprise architects, to ensure successful project delivery according to timelines and budgets. Commercial Growth: Have a growth mindset on projects, recognising potential operational bottlenecks or new requirements, and own communicating these throughout the team for new opportunities. Best Practice Champion: Establish best practice tools and processes within client environments, confidently challenging legacy ways of working where appropriate. Capability & Leadership Support Mentoring: Support and mentor engineers within CreateFuture and our client teams, helping them navigate their learning and technical skill gaps. Community Contribution: Actively engage in the internal engineering communities, helping to build out an internal repository of reference architectures, Infrastructure as Code templates, and technical blogs. Culture and Feedback: Help foster an inclusive, collaborative, and psychologically safe team environment by providing timely, open, and honest technical feedback. Skills & Experience Core Technical Capabilities Candidates must demonstrate a hybrid balance across the three strategic pillars: Software Engineering (30%), Infrastructure (40%), and Data Engineering (30%). Infrastructure & Automation (40%): Lots of experience in writing declarative Infrastructure as Code using Terraform, container orchestration with Kubernetes (managing clusters, nodes, and pods), and building CI/CD pipelines via GitHub Actions. Software & Agentic Engineering (30%): Proficiency with modern scripting languages for building custom AI agents, configuring workflow orchestration, connecting enterprise API integrations, and implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application of real-time monitoring and cloud cost optimisation using native CSP tools or utilities like Infracost and Karpenter. Domain & Sector Experience Regulated Industries: Experience delivering secure platforms within highly regulated environments, such as iGaming, financial services, or banking, where zero trust security and strict compliance controls are mandatory is highly advantageous. Consulting: Proven experience operating in a client-facing or consulting engineering role, demonstrating strong communication skills, relationship-building capabilities, and adaptability across changing technical contexts. Preferred Knowledge-level & Certifications Associate-level cloud certifications (e.g., AWS Solutions Architect Associate or Azure AZ-104). At least one professional-level certification. Progressing toward or holding multiple professional certifications such as CKA (Certified Kubernetes Administrator), AWS ML Engineer Associate, or FinOps Certified Practitioner. 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.

About the Role You will be a SME and technical leader in engineering Infrastructure, productivity and enterprise tooling, partnering with globally distributed Engineering, Product and Security teams and systems. What You'll Be Doing Roku is seeking a world class engineer to be a true force multiplier by owning the strategy, architecture, and long-term execution of engineering infrastructure, enterprise tooling, and AI-assisted workflow automation. This architect/strategist role drives org-wide improvements in engineering productivity, delivery throughput, quality, security posture, and cost efficiency by building platforms, working practices and automation (including AI/LLM-enabled capabilities) that scale across geographies and time zones. Key Responsibilities AI-First Automation & Intelligent Tooling Define and lead an AI-first automation roadmap for Engineering Infrastructure and Enterprise Tooling (e.g., reducing waste, accelerating reviews, improving incident response, increasing release confidence). Architect and ship AI/LLM-enabled workflow automation across the SDLC (e.g., risk assessment, automated build, test and deployment, intelligent test selection, change-impact analysis, auto-triage of build/test failures). Establish policies and guardrails for AI usage in internal tools: data handling, prompt/response logging, model/provider selection, evaluation, fallback behaviors, and abuse prevention. Dev Productivity & Enterprise Tooling (Global Scale) Set technical direction and standards for the globally used developer tools, including build systems, source code management, branching/release strategy, and self-service support tools. Architect and evolve, CI/CD and build/test pipelines using Jenkins, Docker, and build systems (Bazel / BitBake / Yocto preferred) to support multi-site engineering environments. Own and scale test and quality workflows leveraging test management systems (e.g., TestRail or equivalent), enabling consistent traceability, reporting, and release sign-off across distributed teams. Drive Jira workflow design and automation (templates, guardrails, integrations) to provide consistent cross org visibility and execution. Workflow Automation (Cross Functional, Cross Geo) Design and implement automation spanning Engineering, Product, Marketing, and Partners (e.g., launch readiness, certification/release checklists, partner onboarding, incident/change workflows). Replace manual coordination with durable automation and integrations that work reliably across regions/time zones. Security, Cost, Performance, and Reliability (Distributed Systems) Embed secure by default controls into pipelines and tooling (access control, secrets handling, audit trails, policy enforcement), including for AI enabled systems. Improve build/test performance and reliability (build times, test duration, flake reduction, pipeline stability) using measurable KPIs and operational rigor. Drive cost efficiencies across tooling/infrastructure (compute utilization, caching strategies, license rationalization including AI/runtime costs and ROI tracking). This is a highly visible role and you will report directly to a Vice President of Engineering. This requires a very strong technical leader with experience in the development of consumer electronics devices. The right person for this role will have ability to collaborate well with engineering and partner teams. Own cross team architectures and standards; drive adoption through influence, clear technical judgment, and sustained multi quarter execution. Lead design reviews, mentor senior engineers, and unblock the hardest technical problems across distributed teams and systems. Provide long term stewardship via roadmaps, operational maturity (runbooks/SLOs), and incident/postmortem practices suitable for 24/7 global operations. Establish yourself as the person others bring their hardest problems to. We're Excited If You Have Bachelor's in Computer Science or Computer Engineering, or equivalent experience. Prior experience at Staff, Principal, or Architect level. Ownership in platform/infrastructure, developer productivity, CI/CD, build systems, or workflow automation, including work spanning globally distributed teams and systems. Strong, hands on knowledge of: Git (workflows, branching strategies, release management). Jenkins (CI/CD pipeline design, scaling, reliability). Docker containers (reproducible build/test execution). Build systems (iBake/Yocto preferred). Jira (workflow design/automation, cross team visibility). Test management systems (e.g., TestRail or equivalent). Demonstrated experience delivering automation at scale, including building platforms/components used by multiple teams. Strong systems thinking across security, reliability, performance, and cost tradeoffs. Excellent written communication (architecture docs, decision records, operating procedures). Experience building AI assisted developer tooling (e.g., CI insights, test intelligence, code review automation, release risk scoring, incident copilots). Experience implementing evaluation/monitoring for AI systems (quality metrics, drift, offline test sets, human feedback loops). Extensive experience with software development on embedded Linux, multi process architectures and IPC mechanisms. Experience working in large cross functional teams and ability to influence teams that don't report to you. Ability to see the big picture while focused on short term objectives and deliverables. Ability to multi task and drive parallel projects and distributed teams with tight deadlines. Our Hybrid Work Approach Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy. Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to .

At On the Beach, we're redefining how people discover, plan and book their beach holidays. Our platform serves millions of customers every year, and we're investing in how AI and automation can transform the way our business operates. We're looking for a Senior AI Automation Engineer to help design, build and mature the next generation of intelligent, automated systems across the business. From AI powered workflows and agent driven solutions to services, integrations and automation platforms, you'll help us create scalable solutions that reduce manual effort, improve decision making and unlock capacity across the organisation. About the Role This is not a traditional RPA role. We don't just want to automate, we want to simplify our processes first. You'll work at the intersection of automation, AI and software engineering, helping shape how we identify, design and deliver high impact automation opportunities across On the Beach. You'll be trusted to take ownership of complex problems from discovery through to production, working closely with stakeholders to understand the real business need and creating solutions that are practical, secure, measurable and built to last. You'll work alongside our existing team of AI and Automation engineers, helping us build both early prototypes, and robust platform capabilities. Over time, you'll become a key point of technical ownership for our AI automation approach, helping establish standards, reusable patterns and ways of working for the wider business. Why join this team? You'll have the opportunity to shape a growing capability with genuine influence over its technical direction, engineering standards and long term impact. You'll work on a mix of modern AI and automation initiatives, alongside existing processes that need improving or modernising. There will be space to experiment, but also a clear focus on delivering solutions that make a measurable difference to colleagues and customers. You'll be part of a collaborative team that values curiosity, ownership, thoughtful engineering and knowledge sharing. What you'll be doing day to day Leading the design and delivery of complex automation and AI solutions across the business, using AI augmented engineering tools such as Claude Code. Taking ownership of technical discovery, solution design and implementation, turning ambiguous business problems into scalable and maintainable automation products. Working closely with our engineers, product teams and business stakeholders to develop, productionise and improve AI enabled workflows and agent based solutions. Designing and integrating APIs, services, and other data sources to create reliable end to end automation solutions. Establishing strong engineering practices around testing, security, observability, documentation, error handling and incident response. Assessing where AI is the right solution and where simpler automation, process improvement or system integration would create better value. Building reusable components, standards and patterns that make future automation work faster, safer and easier to maintain. Monitoring the performance, reliability, cost and business impact of solutions in production, using data and feedback to prioritise improvements. Supporting and mentoring engineers or colleagues who are developing their automation and AI engineering capability. You'll be a great addition to our team if you have the following skills, knowledge and experience Demonstrable experience of using AI Augmented software engineering tools such Claude Code, Codex or similar. Experience with frameworks such as ADK, LangChain is beneficial too. Strong scripting experience, ideally Python, with a track record of building and maintaining production grade services, integrations or automation solutions. Experience designing complex automation systems beyond scripting, including workflows that integrate multiple services, APIs, data sources and business processes. You're used to interpreting data and building data led tools to help non technical stakeholders visualise and understand business problems. Experience taking technical ownership of projects, from problem discovery and solution design through to deployment, monitoring and iteration. Experience applying sound software engineering practices, including version control, code review, testing, CI/CD, documentation and observability. The ability to balance short term delivery with long term maintainability, making pragmatic decisions in a fast moving environment. Experience supporting, mentoring or coaching other engineers, or a clear interest in helping others develop. Nice to have: Experience building or working with agent based systems or orchestration frameworks. Exposure to infrastructure as code and CI/CD practices. What to expect from our interview process We'll run a multiple stage interview process, one stage of which will be an in person interview at our fabulous Aeroworks office in Manchester city centre. We want to make sure everybody has the opportunity to perform at their best. If you require any reasonable adjustments during the interview process please let the Talent Acquisition team know and they will be happy to assist. Ways of working Our full time hours are 37.5 per week, but we don't have rigid working hours so you can find the working pattern that's right for you. We have core working hours between 10am - 4pm, so we can collaborate and enjoy the social side of work. We also have hybrid working so we all work from home and from our Aeroworks office in Manchester City Centre. As a team we are in the office 2 days per week (usually Tuesday & Wednesday). Our benefits We might be biased but we think our colleagues are pretty great. They're the people that have made On the Beach what it is today and continue to make it vibrant and successful tomorrow. That's why we offer a competitive benefits package, known as our Beach Perks, to all On the Beach colleagues. These include: 25 days holiday plus your birthday off Generous discount on holidays, plus you will receive 2 extra days annual leave on top of your holiday allowance to use whilst you're away on your On the Beach package holiday Access to Learnerbly learning platform, plus workshops, courses and professional qualifications Enhanced maternity, paternity, shared parental leave and adoption pay, plus other family friendly support Employee Assistance Programme and free access to counselling Simplyhealth Optimise Health Plan Company Sick Pay scheme Regular wellbeing events Gym discount Share Incentive Plan (SIP) Death in Service cover Onsite subsidised coffee shop The Sandbox (our very own bar) Food and drink discounts across a number of venues in Manchester City Centre Regular social events Cycle to Work scheme

About Us Our mission is to dominate the betting and gaming industry on a global scale and we need the very best Tech talent to help us achieve this. We recently migrated all of our customers onto our very own proprietary platform - so it's an exciting time to join us. With the help of our new platform, we're able to pioneer new products and drive more advanced, creative technologies. The result? Unrivalled experiences for millions of customers worldwide. Betfred's Technology department is driven by innovation, and you'll be at the heart of unlocking our new platform's potential. So, if you want to help shape the future of betting and gaming, then it's to time to join us. Job Purpose The Lead DBA owns the architecture, operations and strategic direction of the database platforms. The role spans infrastructure, application and reliability engineering disciplines ensuring environments are secure, scalable and performant. The Lead DBA works closely with the Engineering Manager, architects and engineering teams to define standards, guide technical decisions and mentor the DBA team. This role is both strategic and hands on delivering business critical database services. Job Duties Lead the design and maintenance of highly available, fault tolerant database infrastructure. Plan for growth and scalability aligned with business and platform needs. Evaluate and integrate emerging database technologies to improve performance and efficiency. Ensure compliance with security, governance and regulatory requirements. Manage resource utilisation across storage, compute, memory and networking. Implement and validate replication, clustering and disaster recovery strategies. Apply patches, upgrades and security hardening. Monitor database health, capacity and performance proactively. Collaborate with developers to optimise schema design, indexing and queries. Support deployments, migrations and application aligned changes. Maintain data integrity and resilience across all workloads. Troubleshoot complex database and application facing issues. Build and maintain CI/CD and automation pipelines. Automate routine operations including backups, restores and patching. Identify and remediate platform risks and points of failure. Partner with DevOps, SRE and platform teams on operational maturity. Define and enforce operational standards and best practices. Mentor Senior and Junior DBAs. Drive continuous improvement across database operations and tooling. Knowledge, Skills and Experience Essentials: Strong experience across relational and non relational platforms (MariaDB, MySQL, MongoDB, etc.). Deep expertise in HA, replication, clustering and DR. Strong Linux administration and advanced scripting skills. Proven ability to solve complex performance issues. Strong understanding of security, compliance and governance. Experience leading teams and defining standards. Hands on experience with CI/CD, automation and IaC (Ansible, Terraform). Desirables Experience with cloud or hybrid database platforms. Familiarity with modern observability tooling. Knowledge of sharding, partitioning and scale out strategies. Experience supporting application performance and database integration. What is in it for me? A competitive rate of pay and pension contribution (£80,000 - £90,000) Generous discretionary bonus schemes, incentives and competitions An annual leave entitlement that increases with length of service Access to an online GP 24/7, 365 days a year for you and your immediate family. Employee wellbeing support through our Employee Assistance Programme Enhanced Maternity & Paternity Pay Long Service Recognition Access to a pay day savings scheme, financial coach and up to 40% of your earned wage ahead of payday, through Wagestream.

Are you ready to shape the future of data? Matillion is the company behind Maia, the AI Data Automation platform. In the AI economy, demand for data is exploding. Manual data engineering can't keep up. Maia fixes that by combining 15 years of data expertise with agentic AI to eliminate the manual work that slows data teams down. Organisations like Cisco, DocuSign, and Slack are already using it to deliver real business impact, faster. We started in Manchester and now we're global - with teams across the UK, US and India. We are driven, curious, energetic people who move fast, think big and hold ourselves to a high standard. We're here to make a dent in the universe bigger than ourselves. And we're looking for people who want to be part of it. About the role At Matillion, we are moving beyond traditional data processing to define the future of the AI Data Automation Platform. Our mission is to make data "AI-ready" at the speed of thought, centred around Maia - our autonomous AI data engineering foundation. The Senior Staff Engineer (Frontend) is a high leverage technical leader responsible for driving architectural excellence across our React powered ecosystem. The web UI is where Maia's power is harnessed, visualised, and controlled. This role is the technical authority responsible for ensuring our frontend is as sophisticated and performant as the AI it commands. This role partners with the Senior Staff community to lead organisational "big bets"-including the evolution of our Design System, the expansion of our micro frontend architecture, and ensuring our platform performs at a global scale. It sits at the intersection of technical craft, product vision, and organisational influence. Matillion operates on a hybrid basis, with us coming together 2 days a week in our Manchester office to collaborate and drive our mission forward. What you will be doing Lead the frontend architectural vision for our React powered platform - defining scalable patterns, standards, and practices across multiple product squads Own the Design System strategy and micro frontend architecture, driving consistency, modularity, and long term scalability across our product surfaces Champion an agentic development culture - integrating AI tools into daily engineering workflows and staying ahead of the rapidly evolving GenAI landscape Partner with Product and Engineering leadership to align frontend strategy with the Maia platform roadmap, validating architectural proposals before full scale development Develop engineering capability across squads through coaching, structured feedback, and leading by example on Matillion's engineering values What we are looking for Expert level React and TypeScript - deep understanding of component architecture, state management, event driven architectures, test strategies, and performance optimisation at scale Proven ability to lead the design and delivery of significant frontend projects in a SaaS product environment, including cross team strategic efforts such as Design Systems or micro frontends Deep proficiency in agentic development - AI tools are already part of your daily engineering workflow, not something you are just exploring Strong experience designing modular, testable frontend systems capable of supporting complex, AI driven user workflows, with a solid grasp of frontend security best practices A strategic, economically minded thinker who can zoom out to the organisational level, influence decisions, and balance long term maintainability with delivery velocity Compensation Estimated annual salaried pay range: £76,000 - £114,000, based on role, job family, level and country. Final salary will be based on your relevant skills, experience and qualifications. Benefits Company Equity 30 days holiday + bank holiday 5 days paid volunteering leave Private Health Insurance Life Insurance Pension Access to mental health support Equal Opportunity Employer Matillion is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all of our team. Matillion prohibits discrimination and harassment of any type. Matillion does not discriminate on the basis of race, colour, religion, age, sex, national origin, disability status, genetics, sexual orientation, gender identity or expression, or any other characteristic protected by law.