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About StackOne: StackOne is the AI Integration Gateway for SaaS products and AI Agents. Backed by GV and Workday Ventures ($24M raised), we help builders of SaaS platforms and AI Agents orchestrate hundreds of scalable, accurate, and enterprise-grade integrations. Our platform combines 25,000 pre-mapped actions on 200 connectors, an AI-powered integration development toolkit, plus security by design: a real-time architecture, managed authentication and permissions, and end-to-end observability. Join us on our fast trajectory to build the future of agentic integrations. About the role We're looking for a Senior Platform Engineer to own how StackOne is built, shipped, and run, as we scale across our own cloud and into our customers' clouds. You'll own the infrastructure behind the platform, our deployment pipeline and developer tooling, and how we package StackOne to run inside customers' own AWS, GCP, or Azure accounts. It's a hands on role with broad scope. You write code and tooling, you own the IaC other engineers depend on, and you set the standard for how every new repository gets deployed and secured. You'll report directly to the CTO and work closely with our Security Engineer and tech leads. Responsibilities Own our infrastructure at scale: the AWS estate today (ECS Fargate, Aurora, ElastiCache, MSK, OpenSearch, Lambda, KMS) and the AWS CDK to Terraform migration. Keep it reliable, observable, and cost aware. Build out the deployment pipeline as we consolidate toward a monorepo: the CI/CD that ships every service, plus an automated end to end testing harness with incremental (affected only) testing that stays fast as we grow. Ship into customers' own clouds (self hosted / BYOC): the Terraform modules, container images, runbooks, and documentation for internal teams and customers. Own the release and upgrade path for self hosted customers: versioned, signed releases, a supported version policy, and a call home for usage and version reporting. Set the standard for new repositories: partner with the Security Engineer and tech leads so new projects (product, internal tools, and vibe coded prototypes) ship secure and deployable from day one. Templates and golden paths, not gate keeping. Raise reliability: SLOs, observability, and incident response. Make the system easy to operate when something breaks at 3am. Treat infrastructure as a product: paved roads and self serve tooling so product engineers ship without waiting on you. Use AI in the workflow: lean on LLMs and agents for IaC generation, test scaffolding, and runbook drafting, with guardrails you trust. What we're looking for 4+ years in platform, infrastructure, SRE, or DevOps, with hands on AWS at scale: ECS/Fargate, RDS/Aurora, Lambda, networking, IAM, KMS. Deep IaC ability: Terraform and/or AWS CDK, comfortable owning modules other teams build on. Strong CI/CD and monorepo build experience: caching and incremental/affected only test execution. You've made a slow pipeline fast. Strong coding in TypeScript, Python, or Go. You build tooling, not just YAML and configs. Containers in production (Docker); Kubernetes a plus. Security minded: you bake secure defaults into pipelines and repo templates, and partner with security rather than routing around it. A clear writer: docs and runbooks that internal engineers and external customers can follow. End to end ownership: you scope, ship, and measure, and automate instead of running manual checklists. Nice to have Shipping software into customers' own cloud or on prem (BYOC / self hosted), or a platform like Nuon, Replicated, or Omnistrate. Multi cloud (GCP or Azure) IaC, and exposure to Temporal, Kafka/MSK, ClickHouse, or OpenSearch. Our stack Cloud & infra: AWS (ECS Fargate, Aurora Postgres, ElastiCache, MSK, OpenSearch, Lambda, S3, KMS, CloudFront, WAF), Cloudflare (Workers, WAF) IaC: AWS CDK today, migrating to Terraform Data & messaging: Postgres, Redis, Kafka, OpenSearch, ClickHouse CI/CD: GitHub Actions Observability & analytics: Datadog, Sentry, Metabase Languages: TypeScript (Node.js), Python Benefits Meaningful share options (EMI) 25 days holiday + 1 additional day per year of tenure Private health insurance, including dental & optical £15/day London office lunch budget, up to £120/month £1,000 home office setup + £500/year top up Annual team offsite to sunny spots Join one of Europe's fastest growing startups Work with a veteran team of ex Google, Microsoft, Oracle, Coinbase, JP Morgan and more Health, fitness and gift card discounts; Cycle2Work and Electric Cars scheme London (hybrid, 2 days/week) preferred; open to remote within the UK We believe diversity drives innovation. We encourage individuals from all backgrounds to apply. As an equal opportunity employer, we celebrate diversity and are committed to creating an inclusive environment for all employees.

Summary Join M&S Software Engineering and help shape the digital future of one of the UK's most trusted brands. You'll work on products and platforms that support millions of customers and thousands of colleagues, as part of an organisation investing heavily in becoming digital-first and engineering-led. We're looking for a Software Engineering Manager who combines strong technical judgement with a passion for building high-performing teams. This role sits within Fashion Home and Beauty, in our Commercial Planning sub domain. The successful candidate will initially work within a large programme, providing Engineering oversight, and partnering with the Vendor and implementation team to deliver optimal technical solutions. This is an opportunity to help shape a best-in-class engineering culture, environment, and team. If you're excited by modern technology, large-scale impact, and the chance to influence how engineering is done at M&S, this is a place where you can do some of the best work of your career. You will be responsible Ensuring the operational stability and resilience of the software solutions owned by your team Delivering high-quality software solutions that create measurable value for the business Fostering a culture of innovation and continuous improvement, and establishing strong engineering standards Ensuring cross-functional requirements such as security, performance, and reliability are built into delivery Holding our Vendors and partners to account for all aspects of good software delivery Challenging solution architecture, and helping drive the right approach for any given business requirement What you'll do As a Software Engineering Manager, you'll combine people leadership, technical direction, and delivery excellence to help teams solve problems through technology at scale. Team leadership: Build, mentor, and manage a high-performing software engineering team. Foster a culture of collaboration, innovation, and continuous improvement within the team. Facilitate communication and collaboration among team members. Ensure budgets, people and resource allocation, and workload, balance across projects. Delivery excellence: Oversee the planning, execution, and delivery of software initiatives, ensuring alignment with business goals, timelines, and customer outcomes. Manage risks and dependencies proactively, and work closely with Product, Design, and Delivery partners to define scope and priorities. Technical leadership: Drive the adoption of strong engineering practices, standards, and methodologies. Provide guidance on complex technical challenges, shape the team's technical roadmap with senior engineers, and help balance technical investment with product and commercial priorities. Quality and reliability: Establish high quality standards so software meets performance, reliability, and usability expectations. Support the ongoing maintenance and improvement of existing systems, ensuring issues are resolved quickly and effectively. Tech stack The teams use a variety of technologies, including: Java, Spring, SpringBOOT, Micronaut React, Next.js, Typescript, Angular Azure Cloud, Kubernetes, Dynatrace (observability) SQL Server, MongoDB Ignite, Redis Who you are Previous polyglot hands-on senior software engineer Experience working on highly scalable software solutions across web or backend Extensive background in software engineering with several years' experience in a variety of systems and technologies Experience building and leading teams of highly skilled, senior software engineers that deliver high-quality software. Excellent understanding of system design, software architecture, cloud, and software engineering standard methodologies, Promoter of DevOps: you build it, you run it. Strong understanding of testing strategies and reliability engineering Excellent people management, interpersonal, analytical, and problem-solving skills Ability to lead and line manage senior engineers and technical partners to a desired outcome, without prescribing it. Excellent communication skills, both written and spoken and able to adjust for different, including non-technical audiences. A servant-leadership mentality that is willing to take ownership of problems. Able to influence people at senior levels and from the highly technical to non-technical Desirable experience Knowledge of the Retail domain, particularly around the Clothing Product development and planning lifecycle. Not essential, but would be a big advantage. What's in it for you Being a part of M&S is exactly that - becoming a part and playing your part. We're an inclusive, dynamic, exciting, and always evolving business built on core values. Here are some of the benefits we offer that make working for M&S just that little bit more special 20% Colleague discount on most things from furniture, fashion and food. A first-class welcome to M&S with a tailored induction and a wide range of training schemes to help with your learning and development. Having options to progress is something we're proud of at M&S. Attractive annual bonus, based on company performance and personal objectives. Competitive holiday entitlement with the potential to buy extra holiday days! Amazing perks and discounts via our M&S Choices website. Including GymSave - that offers up to 25% off Gym Memberships and the option to become an M&S Shareholder using our ShareSave & ShareBuy Schemes Charity Volunteer Day - A paid day away from work to support your chosen charity. A very generous Defined Contribution Pension Scheme and Life Assurance Every colleague at M&S has access to a fantastic range of wellbeing support - this includes access to our 24/7 Virtual GP, PAM Assist to support you & your family as well as many other schemes Everyone's welcome M&S is ready to push boundaries to lead the retail industry into a greener, speedier, more inspiring digital era. That's why we're revolutionising how we work and offering our most exciting opportunities yet. There's never been a better time to be part of our team. Marks & Spencer aims to be an inclusive organisation, trusted and admired by our colleagues, customers and suppliers. Join us and make an immediate impact. We're an in-person business and have core collaboration days in our Support Centre each week. For most teams, this is 3 working days where we come together to collaborate, innovate, and serve our customers thoughtfully. We are committed to an active Inclusion, Diversity and Equal Opportunities Policy, which starts with our recruitment and selection process, and we are happy to talk flexible working. If you consider yourself to require reasonable adjustments to any part of our recruitment process, we invite you to share those requirements with us when completing your application. We will make every effort to ensure your needs are met to provide a fair and transparent process of assessment.

Job Purpose As Senior Architect AI, you will be accountable for designing and overseeing the end-to-end AI platform architecture that powers Liberty Global's telecommunications services across our 85 million subscriber base. You'll bridge technical excellence with business value, ensuring AI solutions integrate seamlessly with our telecommunications infrastructure while meeting operational, budget, and performance requirements. This role requires deep technical expertise combined with strong communication skills to work effectively with both engineering teams and business stakeholders, translating complex technical concepts into actionable recommendations that drive business outcomes. Key Responsibilities End-to-End AI Architecture Design & Ownership Design and maintain comprehensive AI platform architecture spanning data pipelines, model development, infrastructure, deployment frameworks, and integration with both on Prem and cloud platforms and applications. Own the technical vision for AI platform evolution, ensuring architecture supports current and future business requirements, context & process across customer experience, AI innovation, and operational efficiency use cases Define architectural standards, design patterns, and technology selection criteria that enable scalable, reliable AI implementations across multiple European markets & ventures Ensure architectural decisions consider operational requirements, budget constraints, and business priorities while maintaining technical excellence Platform Integration & Technical Accountability Take accountability for AI platform integration with Liberty Global's core telecommunications infrastructure & ventures, ensuring seamless data flow and system reliability Design integration patterns and API strategies that connect AI services with existing platforms while maintaining security, performance, and data quality standards Collaborate with enterprise architects and engineering teams to ensure AI solutions align with overall technology architecture and infrastructure capabilities Establish output goals, monitoring, observability, and quality assurance practices for AI platform components, ensuring operational stability and performance targets are met Technical Guidance & Cross-Functional Collaboration Provide technical expertise and architectural guidance to engineering teams, data scientists, and product managers throughout the AI solution development lifecycle Work closely with business stakeholders to understand requirements, translate them into technical architectures, and communicate trade-offs, timelines, and resource needs clearly Review and approve technical designs, ensuring alignment with architectural standards and best practices while addressing scalability, security, and maintainability concerns Collaborate with operations teams on deployment strategies, capacity planning, and cost optimization for AI infrastructure and cloud resources Support comprehensive technical due diligence for potential acquisitions, investments, or partnerships Operational Excellence & Budget Considerations Contribute to budget planning and cost optimization discussions, providing recommendations on infrastructure investments, cloud resource allocation, and technology choices Design architectures that optimize operational efficiency through automation, resource utilization, and smart platform design while meeting performance requirements Support capacity planning and infrastructure scaling decisions based on usage patterns, performance metrics, and business growth projections Participate in vendor evaluations and technology assessments, providing technical recommendations that balance capability, cost, and operational impact Define, refine & optimise processes, frameworks & context to ensure right business outcomes Set Lifecycle management expectations and govern End of Existence models and components Define and validate business cases by establishing clear metrics, measurable outcomes, and ROI, ensuring solutions deliver tangible customer value and product impact Knowledge and Experience Essential: 8-10 years of experience in software architecture or technical lead roles with 4-5 years focused on AI/ML platforms and data-intensive systems Proven experience designing end-to-end architectures or processes for AI/ML systems in production environments supporting large user bases Understanding of IT platforms i.e., cloud platforms (AWS, Azure, GCP), containerization (Kubernetes, Docker), and MLOps frameworks and practices Understanding of the use of Waterfall vs Agile practices including use of Kanban, SAFE, etc Deep understanding of telecommunications systems and integration patterns with OSS/BSS, customer platforms, and network management systems Demonstrated ability to work effectively with both technical teams and business stakeholders, translating between technical and business language Proficiency in AI/ML technologies including model training platforms, deployment frameworks, data pipelines, and monitoring tools Experience with distributed systems design, API architecture, and microservices patterns for building scalable platforms Strong knowledge of database technologies, data warehousing, streaming platforms (Kafka, Pulsar), and big data processing frameworks Excellent communication and presentation skills for explaining complex technical concepts to non-technical audiences and business stakeholders including use of deep data analysis Understanding of budget planning, cost modelling, and operational considerations for large-scale technology platforms & businesses Ability to source, process, and analyse complex datasets to generate actionable insights that inform business and product decisions Understanding of budget planning, cost modelling, and operational considerations for large-scale technology platforms & businesses Ability to source, process, and analyse complex datasets to generate actionable insights that inform business and product decisions Desirable: Hands-on coding and prototyping experience in AI/ML development (Python, TensorFlow, PyTorch) Experience with proof-of-concept development and technical validation of new AI technologies Background in data science or machine learning engineering with an understanding of model development workflows Practical experience with infrastructure-as-code and DevOps practices for AI platforms Knowledge of data management M&A due diligence Preferred education/qualifications: Experience in telecommunications, cable, or network infrastructure industries with understanding of subscriber analytics and operational systems Bachelor's or Master's degree in Computer Science, Engineering, Telecommunications, or related technical field Background in hands-on development with Python, Java, or similar languages (nice to have but not required for day-to-day work) Knowledge of AI ethics, responsible AI practices, and regulatory requirements relevant to European telecommunications markets or relevant knowledge gained from operations Experience with architectural frameworks and documentation practices for enterprise-scale systems Our Story We're building Tomorrow's Connections Today. Liberty Global is a leading international converged connectivity and investment company focused on creating sustainable, long-term value for customers, employees and shareholders through the strategic management of three platforms - Liberty Telecom, Liberty Growth and Liberty Services. Liberty Telecom is a world leader in converged broadband, video and mobile communications services, delivering next-generation products through advanced fibre and 5G networks. It currently provides approximately 80 million connections through some of Europe's best-known consumer brands, including Virgin Media-O2 in the UK, VodafoneZiggo in The Netherlands, Telenet in Belgium, and Virgin Media in Ireland. With our substantial scale and commitment to innovation, we are building Tomorrow's Connections Today, investing in the infrastructure and platforms that empower our customers to make the most of the digital revolution, while deploying the advanced technologies that nations and economies need to thrive. Liberty Growth invests, grows and rotates capital into scalable businesses across the technology, media/content, sports and infrastructure industries with a portfolio of approximately 70 companies and various funds, including stakes in companies like ITV, Televisa Univision, Plume, EdgeConneX and AtlasEdge, as well as our controlling interest in the Formula E racing series. Liberty Services delivers innovative technology and finance services, generating approximately $600 million in revenue. Our scale enables us to transfer knowledge and expertise across our operations and investments, creating a dynamic family of brands united in the pursuit of innovation and excellence, with a commitment to building a culture where everyone feels they belong. And we're prioritizing diversity, equity and inclusion in our workplace and communities, while reducing our impact on the environment. We are using technology as a force for good; for our people, our partners and the planet. OUR FUTURE OUTLOOK IS EXCITING, TOGETHER Privacy Policy The data included in the candidate account (eg. your name, e mail address and CV; hereafter collectively "your data") will be processed by Liberty Global as the Controller for the purposes of candidate selection, placement and employment. Your data can also be shared with Liberty Global plc and/or its majority owned subsidiaries (collectively, the "Liberty Global Group" . click apply for full job details

About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast paced environment big problems ignite us-we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! About the Team Portal is the platform that connects Wayve to the outside world; handling data exchange with partners, surfacing AI insights, and enabling the commercial deployment of Wayve's autonomy stack to OEM partners globally. The team operates as a startup within a scale up: with its own infrastructure, its own DevOps, and a high autonomy operating model independent from Wayve's core engineering org. The Role We're looking for a Platform Engineer to own and evolve the cloud infrastructure and developer tooling that underpins the entire Portal engineering team. This is a broad, hands on platform engineering role, not a narrow specialisation. You'll work across cloud infrastructure, RBAC/IAM, CI/CD, Kubernetes and developer productivity. You'll be the person application developers come to when they need to move faster, more safely, and you'll build the systems and guardrails that make that possible. What You'll Do Design, build and maintain cloud infrastructure, CI/CD and developer tooling (primarily Azure) using IaC (Terraform) across development, staging, and production environments. Own and evolve RBAC/IAM across both cloud/infrastructure and application/product layers for a multi tenant Portal environment. Build and improve CI/CD pipelines to increase developer velocity, reliability and deployment safety. Support and improve Kubernetes based deployment workflows and platform services. Build internal tools and observability capabilities that help engineers deliver performant, reliable software at scale. Participate in a support/on call rotation; respond to incidents, support engineers, and contribute to root cause analysis. Apply practical security and networking knowledge to harden the platform and coach application developers on best practices. What We're Looking For Strong hands on cloud infrastructure experience, ideally Azure, with production Terraform/IaC experience. Strong RBAC/IAM knowledge at cloud/infrastructure level; experience with application/product level IAM or multi tenancy is highly valuable. Experience building and maintaining CI/CD pipelines. Security and networking fundamentals: you are a hands on builder, not just a reviewer. Experience as part of a support or on call rotation. A strong communicator who can coach and guide application developers, not just build in isolation. A product mindset: you think about the developer experience and build tools that genuinely improve how the team works. High autonomy and ownership: you take responsibility for outcomes in a fast moving team. Nice to Have Experience working with multiple cloud providers or cross cloud IAM across Azure, AWS and/or GCP. Background in developer experience (DX) or internal tooling. Experience in a startup or high growth engineering environment. Security certifications are a plus but not required. This is a full time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you're passionate about self driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non discriminatory.

Locations: Glasgow/Edinburgh (must be willing to travel to client sites throughout the UK on an ad hoc basis) Please note: Any offer of employment is subject to satisfactory BPSS and SC security clearance, which requires 5 years' continuous UK address history at the point of application. In our team you will: We typically work hand in hand with our clients to build great digital products for them and for their customers. To do this, we need experienced, capable engineers who can both deploy their own mastery to get things done hands on and successfully lead others in doing so. The nature of our work varies from client to client so there will be lots of opportunities to experience new domains and new stacks. Our team is dedicated to applying great engineering to get great outcomes. Our engineers stand out by keeping one eye on value at all times, and by proposing thoughtful solutions that get the job done efficiently and with low complexity. You'd be a key advocate for this approach within a team. Beyond client work, our engineers are essential contributors to our internal and regional engineering communities. There's loads of scope to get involved and help shape conversations around tech you're interested in, share your knowledge and experience, and learn from colleagues working in very diverse problem spaces. AI You'll be expected to responsibly adopt AI assisted engineering practices-such as GitHub Copilot, GitLab Duo, and similar tools-for code generation, testing, documentation, and analysis, while understanding model limitations, protecting client data, and improving delivery quality and speed through pragmatic automation. SRE & Observability You'll bring a reliability mindset to delivery, designing services that are operable by default and measured through meaningful SLIs/SLOs. You'll help teams implement pragmatic observability-logging, metrics, and distributed tracing-with actionable alerting, and you'll contribute to (or lead) incident response and post incident reviews that drive learning and measurable improvements. We are looking for experience in the following skills: Strong experience with the AWS cloud platform and core services. Hands on experience with Kubernetes (build, deployment, and operational support in production). Proven use of Infrastructure as Code, ideally with AWS CDK. Working knowledge of Terraform for infrastructure provisioning and management. Experience with Atlassian suite (Jira, Confluence, Bitbucket) within Agile/DevOps teams. Strong understanding of CI/CD pipelines, automation, and DevOps best practices. What's in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 25 days' vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first class services we are known for. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

Cloud EngineerTitle: Cloud EngineerDepartment: Procode ITLocation: RemoteSalary: Circa £65,000 + Discretionary Bonus SchemeSponsorship: Unfortunately, we are unable to offer sponsorship for this roleAre you a Cloud Engineer with extensive knowledge with Terraform across AWS, Azure or both?Are you ready to tackle complex multi-cloud challenges?Do you excel at designing secure, scalable architectures and automating deployments across platforms? If leveraging the best of both clouds to deliver innovative, future-ready solutions excites you, this is your opportunity to make a real impact.About usWe are a leading UK technology company delivering transformative, data driven solutions for the energy sector and beyond. With two decades of experience, we help organisations unlock the power of smart data to improve efficiency, reduce cost to serve, and enhance customer experience.Trusted by millions of households and major industry partners, our innovative platforms and energy data management solutions support a smarter, more sustainable future. Our passionate team of problem solvers is committed to building technology that truly makes a difference, and our promise is to put customers at the heart of everything we do.What does this role involve?As a Cloud Engineer, you'll be at the heart of our cloud transformation journey. You will design, deploy, and manage AWS, Azure or both infrastructure that powers production workloads across networking, storage, and application services.You will build resilient, secure, and observable cloud services using AWS, Azure or both technologies, ensuring our platforms are robust and future ready. This role spans the full lifecycle, from architecting and building new cloud services to migrating traditional infrastructure into a modern, scalable environment.You will be hands-on with infrastructure design, automation, observability, and cross-cloud security integrations, while collaborating closely with stakeholders to turn requirements into real-world solutions.Who are we looking for?Cloud experience: Strong experience in designing and managing AWS, Azure or both services and Terraform for production environments.Migration: Proven track record of moving traditional infrastructure into the cloud.Security & Observability: Understanding of best practices for building secure, monitored, and resilient systems.Automation & CI/CD: Familiarity with tools and practices that streamline deployments and improve reliability.Collaboration Skills: Ability to work with technical teams and business stakeholders, translating requirements into solutions.Although the role is remote, we do require the team to come to our Chandlers Ford head office for team collaboration days.This role will involve on-call working on a rota basis (24/7)To be successful in this role you will be required to pass an enhanced security vetting process.Technical environment:AWS: EC2, ECS, S3, RDS, VPC, Lambda, IAM)Azure: Azure SQL, Azure Entra ID, Azure DevOps, Azure Container Apps, API Management Services, Azure FunctionsInfrastructure as Code & Automation: Terraform / OpenTofu / Scalr., Octopus Deploy (or similar), CI/CD pipelines, Azure DevOps, PowerShell Scripting, Azure CLIScripting: PowerShell, Python, or BashContainerization & Orchestration: Docker, container registry (ACR)CI/CD implementation: Azure DevOps Pipelines and YAML automationMonitoring & Observability: Datadog, Grafana Cloud, OpenTelemetry, CloudWatch, Prometheus, LokiBenefits - available from day one!Bonus Scheme, made up of personal and company elements.Career progression, we're an expanding organisation.25 days annual leave plus bank holidays.Pension scheme, company contribution at 4% of your salary when you contribute 5%.Our Chandlers Ford office offers access to a free, fully equipped onsite gym, along with showers and changing facilities.The opportunity to win tickets to major outdoor events including, gigs and shows at arenas around the UK.We offer an EV car scheme. Qualifying terms and conditions apply.A health care scheme that includes dental, eye care, treatments, and diagnostics health consultations.Death in service - we pay three times your annual salary to your designated next of kin, giving them peace of mind should you sadly pass away during service.Employee Assistance Programme with access to counselling support, legal and financial advice 24/7 365 days a year, as well as a GP line and Your Care.We also offer all our staff a paid volunteering day every year. Plus, the chance to be involved in various fund-raising opportunities.Our employees, just like our customers come from all walks of life, and we're fuelled in championing diversity, inspiring an inclusive culture, and enabling an environment where you can be your authentic self.The Luxion Group comprises of the following companies - Luxion Group Ltd, Utilita Energy Ltd, Luxion Sales Ltd, Utilita Field Services Ltd, Procode Technology Ltd and Canary Care Global Ltd.

At Ripple, we're building a world where value moves like information does today. It's big, it's bold, and we're already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you're ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. Overview: In the role of Staff Network Engineer, you will serve as a technical architect and senior project lead for Ripple's global office networks. You will enable world class, 99.9% uptime network and internet access, and support Ripple's accelerated growth through new office network design and commissioning. We want a high-impact individual contributor who defines Ripple's standard for global connectivity, and approaches networking from a lens of continuous improvement and an end user experience first mentality. This position blends high level planning with practical senior engineering to support a workforce spread around the world. Key Responsibilities Architectural Leadership: Define and maintain Ripple Office networking standards, in a way that promotes continuous improvement, agile scalability, and a world class end user experience. Act as the final technical point of contact for resolving any critical issues in the global network infrastructure. NetDevOps and Automation: Grow the next generation of network operations at Ripple, by developing best practice utilization of automation, version control, and continuous integration/continuous deployment (CI/CD). Replace manual "copy paste" configurations with cloud managed deployment, reconciliation, and validation tooling. Security and Zero Trust: Collaborate with the Information Security and other cross functional teams to drive the next generation of network security at Ripple, implementing Zero Trust Network Access (ZTNA). Develop a security and compliance posture that is world class, but carefully balances user experience. Infrastructure Life Cycle: Manage multi million dollar global hardware through a full lifecycle of design, deployment, maintenance, and upgrades. Reliability Engineering: Ownership of Ripple's 99.9% Network availability SLA. Develop changes to architecture needed to robustly meet this SLA, and develop advanced observability to accurately measure adherence. Vendor and Project Management: Manage relationships with ISPs, hardware vendors, and professional services providers. Lead cross functional projects to meet international deliverables. Required Technical Expertise Expert level understanding of Arista EOS (CloudVision) and Aruba Central. Deep experience with Palo Alto Networks (Panorama, GlobalProtect, and Prisma or equivalent experience) Great understanding of cloud based Radius/TACACS+ authentication and certificate management platforms such as Arista AGNI, Foxpass, and ClearPass. Expertise in Arista (EOS/CloudVision) and Juniper (JunOS) switching/routing stacks. Experience with MLAG and LACP switch stacking for high availability. Senior level experience with Aruba wireless solutions, particularly Aruba Central in extensive global deployments with high user density. Proficiency in NetDevOps tooling such as Python, Ansible. Advanced administration of tools like Infoblox (DNS/DHCP/IPAM) in a high availability, multi site environment. Proficiency with SNMP based alerting and logging platforms (Auvix, Logicmonitor, etc) Expert knowledge of core protocols and standards such as BGP, BFD, STP, and 802.11ax/be wireless standards. Experience with network modernization practices like SD WAN and ZTNA Experience with new office network design and installation WHO WE ARE: Do Your Best Work The opportunity to build in a fast paced start up environment with experienced industry leaders A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning. Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team. In office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in. Bi weekly all company meeting - business updates and ask me anything style discussion with our Leadership Team We come together for moments that matter which include team offsites, team bonding activities, happy hours and more! Take Control of Your Finances Competitive salary, bonuses, and equity Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support Employee giving match Mobile phone stipend Take Care of Yourself R&R days so you can rest and recharge Generous wellness reimbursement and weekly onsite & virtual programming Generous vacation policy - work with your manager to take time off when you need it Industry leading parental leave policies. Family planning benefits. Catered lunches, fully stocked kitchens with premium snacks/beverages, and plenty of fun events Benefits listed above are for full time employees. Equal Opportunity Employer Ripple is an Equal Opportunity Employer. We're committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance. Please find our UK/EU Applicant Privacy Notice and our California Applicant Privacy Notice for reference.

The Software Engineering Manager provides technical leadership, engineering governance and delivery oversight for the Amazon Connect squads. The role ensures platform features, integrations and non-functional capabilities are engineered to a high standard, supporting accurate forecasting, workforce planning, and safe, efficient customer service delivery. This role uses automation, data and AI-enabled tooling to reduce manual effort, improve engineering quality, shorten cycle times and increase reliability, while maintaining full human accountability for technical judgement, decisions and outcomes. If you want to solve complex, high-impact problems using modern engineering practices and help build reusable platforms that shape how the company operates over the next decade, this is the place to do it. Day to Day Lead technical direction across Amazon Connect squads Set engineering standards, architectural patterns and technical direction, ensuring the platform is scalable, resilient and aligned to the company's technology strategy. Own the end-to-end software development lifecycle across multiple squads Ensure teams apply robust engineering practices from discovery and design through to build, testing, deployment and live operations, consistently meeting business and non-functional requirements. Guide complex design decisions and technical solutions Lead technical reviews, challenge design options and ensure solutions follow best practice, reduce duplication, and support maintainable, secure and high-performing systems. Improve delivery capability through platform reliability and DevOps maturity Continuously strengthen deployment pipelines, observability, alerting, incident response, recovery procedures and operational readiness across Field Ops engineering teams. Manage stakeholders and maintain clear communication Build trusted relationships across product, operations, delivery and business teams to coordinate plans, manage risk, align priorities and set clear expectations. Drive engineering excellence and strengthen team capability Track, analyse and improve engineering excellence metrics; coach engineers and promote a culture of learning, continuous improvement and high-quality engineering. Support data-driven and API-centric integration design Ensure APIs, integrations and data flows follow consistent patterns, with strong data quality, security, scalability and operational resilience. What we need from you Leadership Acts as a technical leader and role model for modern engineering practices. Coaches engineers across squads, building a strong engineering culture and encouraging continuous learning. Supports capability uplift through coaching, technical reviews, knowledge sharing and guild or community leadership. Champions secure, reliable and scalable engineering practices across the Field Ops domain. Drives alignment and informed decision making across technology and product teams. Work Experience & Technical Skills Proven experience shaping and delivering technology strategy within a complex engineering environment. Strong hands on experience in at least one core programming language, with a language agnostic approach to hiring. Expertise in API management, integration patterns, event driven architecture and microservices. Detailed knowledge of AWS platforms, tools and design approaches. Knowledge of Amazon Connect and contact centre engineering would be advantageous. Strong understanding of data management, data modelling and data quality controls. Ability to produce both high level and detailed design specifications. Experience leading DevOps practices, including CI/CD, observability, monitoring and incident management. Demonstrated capability leading multi squad engineering delivery in a product led organisation. Mindset & Ways of Working Comfortable working in iterative, outcome focused agile environments. Open to new tools, automation and AI assisted engineering approaches. Highly collaborative across product, engineering, design and operations. Strong problem solver with a focus on simplification and continuous improvement.

This role is hybrid, UK-based. About the role This is an exciting opportunity to lead the security, resilience and operational integrity of EA Technology's cloud platforms and live software applications. You will play a critical role in ensuring our SaaS platforms operate securely, reliably and at scale, supporting high availability in safety-critical environments. Responsibilities Own end-to-end platform resilience, ensuring SaaS systems and cloud services meet availability, performance and recovery objectives Define and enforce secure by design principles, including cybersecurity standards, cloud architecture guardrails and operational controls Lead DevOps and Site Reliability Engineering (SRE) maturity, embedding monitoring, observability, automated testing and structured incident response Drive adoption of automation and AI enabled tooling to improve anomaly detection, incident management, vulnerability management and operational efficiency Provide technical oversight of production operations, ensuring alignment between platform standards and operational support teams Lead cybersecurity governance, including audits, penetration testing, vulnerability management and risk frameworks Support integration of acquired platforms, ensuring alignment with EA Technology's security and reliability standards Establish and maintain platform standards that balance delivery speed with system integrity and resilience What we'll need from you Significant experience leading platform engineering, cybersecurity or reliability teams in complex SaaS environments Deep expertise in cloud native architecture (Azure, AWS or equivalent) Strong understanding of DevOps, SRE principles and SaaS production operations Experience implementing secure by design frameworks and managing cybersecurity governance Experience owning uptime, reliability and systemic operational performance Strong leadership skills, with the ability to work across Engineering, Product and Operations Excellent communication skills, with the ability to articulate technical risk and trade offs clearly Ability to lead calmly and effectively during high pressure incidents Desirable Experience in utilities, energy or critical infrastructure sectors Experience integrating acquired digital platforms Familiarity with hybrid IT/OT security models Experience with FinOps and cloud cost optimisation practices Experience applying AI assisted tooling in operational or security environments What we can offer you Competitive salary + company performance bonus Career development opportunities: We offer genuine pathways for growth within our company Work life balance: With flexible working options, we support our employees in balancing their professional and personal lives Holidays: 25 days of annual leave, plus bank holidays Pension contributions of 8% from the employer (or cash equivalent) Comprehensive benefits, including Group Life Insurance, Income Protection, and Critical Illness cover (or cash equivalents) Private Medical Insurance (single cover or cash equivalent) A truly collaborative and supportive work environment where amazing colleagues inspire each other every day!

Background At Motion Applied - Connected Intelligence (CI), we create cutting edge wireless connectivity solutions that are transforming customer experience across the transport industry. We create solutions that drive efficiency and cost-effectiveness for customers, delivering unrivalled internet connectivity services. By applying our expertise, we deliver real benefits and pioneer a better future. Purpose of the Role You will be one of our key contributors who guide and foster innovation by developing the platform for our leading-edge products within CI. You will work collaboratively to solve interesting and challenging problems in a cross functional team with other engineering disciplines including Data Scientists, Software Engineers, Test Engineers, Site Reliability Engineers and Systems Engineers. The platform team is missioned to build secure, compliant and standardised infrastructure as well as internal developer platforms to enhance operational efficiency and enable faster and reliable software delivery. In this team you'll have a unique opportunity to have first-hand exposure to the strategy of the company in key platform initiatives, especially in building scalable and secure-by-design systems and solutions. You also have opportunities to go through the whole lifecycle of platform, products and services, are encouraged to participate in each phase, each part of the projects and have the whole picture of what you are working on. Principal Accountabilities As a Platform Engineer who is passionate about technology, you will use themost effective and applicabletechnologies to create and improve the Motion Applied Fleet Connect cloud infrastucture. You will lead on implementation of the Motion Applied security governance policy across our products and platform, being a key participant in maintaining and updating the policy in accordance with technology shifts, customer feedback and product development feedback. You will learn how to leverage existing open-source software to extend our capabilities, integrating and tailoring software to suit customers' needs, through clean and consistent coding. You will champion architectural and technical good practise across the software development teams, from initiation through the whole product lifecycle. Location This role is based at our head office in central Woking. The role is included in our hybrid working policy with the expectation of a minimum of two days a week in the office, which should be co-ordinated with other members of the Engineering team. Basic Qualifications We are looking for an applicant who has: Bachelor's degree in computer science, similar technical field of study, or equivalent practical experience 3+ years of hands on experience with large cloud providers; AWS preferred, other cloud experience considered. Proficiency in Infrastructure as Code (IaC) tools like Terraform, Ansible or SaltStack. 3+ years of hands-on experience with containerization and orchestration tools like Docker, Kubernetes and Helm. Excellent programming, debugging, and optimization skills in general purpose programming languages including but not limited to: Go, Python, C/C++, Java, or Rust. Solid understanding of DevOps practices, CI/CD pipelines and version control e.g. Git. Interest and ability to learn other coding languages as needed Knowledge of observability and monitoring tools e.g. Prometheus, Grafana, ELK etc Ability to write and speak in English fluently Desirable Some of the below would be beneficial to the applicant, but opportunities to develop in these areas will also be provided: Experienced working in and developing for a Linux environment. Experience with Helmfile or similar declarative deployment tooling. Experience with multi-tenant architecture patterns, tenant isolation, per-customer resource boundaries and shared -vs- dedicated service design. Experience with identity providers and authentication flows, including OIDC, OAuth 2.0, or platforms such as Auth0. Knowledge in cyber security, including but not limited to threat intelligence, IAM, key management systems, data security, application security, applied cryptography, certificate management. Experience of IoT systems integration, protocols, and services, including MQTT and AWS IoT Core. Experience in troubleshooting incidents and live environments. Networking concepts and network performance modelling / optimisation. Understand the basic concepts of AI agent automation and orchestration. Experience with Hashicorp tools like Vault or Consul. What we can offer you In return for everything you bring to the table, we can ensure an exciting, challenging role in a dynamic business surrounded by some of the best people in their respective fields. At Motion Applied we firmly believe it's the relationships and friendships we create while working that make us special. We're also aware that the world is changing and we are part of that change. We all want and need different things from our work and home lives, so, if you have commitments outside of work, we're open to talking through flexible working options that work for you and us. Annual leave (25 days + bank holidays, pro-rated for part time colleagues). Enhanced Company Maternity, Paternity and Adoption leave and pay. Flexible working policies, including Hybrid Working. Life assurance to the value of 4 times base salary Opportunity to join the Motion Applied Pension Plan Company funded individual private healthcare with the opportunity to extend to partner or spouse and/or dependents at a discounted rate. Electric car scheme - opportunity to drive a brand-new car in a more affordable way through this salary sacrifice scheme. Employees are eligible to join the scheme after successful competition of their probationary period. Who we are Motion Applied are a medium-sized tech firm spun out of McLaren Group. We're looking for people who will thrive in a non-hierarchical, growth-orientated company, self-starters who are flexible and somewhat entrepreneurial in their approach. Motion Applied are committed to Diversity, Equality and Inclusion (DEI) and promote DEI in all we do.

Job Title: Lead AI Engineer Division: Data, Technology and Innovation Department: AI Product Delivery Salary: National (Edinburgh and Leeds) ranging from £72,100 to £108,000 and London from £79,300 to £120,000 per annum (salary offered will be based on skills and experience) This role is graded as: Technical Specialist - Regulatory Your external recruitment contact is Benjamin via . Your internal recruitment contact is Lauren via About the FCA and team We regulate financial services firms in the UK, to keep financial markets fair, thriving and effective. By joining us, you'll play a key part in protecting consumers, driving economic growth, and shaping the future of UK finance services. The Data, Technology and Innovation (DTI) division enables the FCA to be a digital-first, data-led smart regulator by delivering a secure, agile, and cost-effective technology and data ecosystem that drives better decisions, transparency, and operational efficiency. Working alongside the wider AI Programme (which will continue to oversee/coordinate AI activity across the FCA), the department will partner with business leads to shape and deliver work in priority areas - Authorisations, SPC, EMO and Anti Money Laundering. Role responsibilities Standardise and advance reusable AI solution patterns and reference architectures, improving cross-team consistency and delivery quality to enable more reliable and scalable product development Establish end-to-end technical architectures for LLM-enabled systems, covering data pipelines, retrieval/RAG, prompt orchestration and agent workflows to support robust and effective AI implementation Analyse complex constraints across product, data, security, legal and operations, translating them into clear standards and recommendations to enable delivery of highly complex AI solutions Enhance CI/CD pipelines for AI systems, introducing automation, traceability and controlled release processes to ensure safe and repeatable deployments. Define monitoring, observability and operational strategies, improving visibility across quality, performance, safety, cost and reliability to support effective issue diagnosis and resolution Set standards for prompt engineering, evaluation and testing, enhancing solution quality and behavioural consistency to support teams in resolving complex model challenges Advance digital and data-driven methods by shaping organisational practices and innovation efforts that produce measurable improvements in performance and efficiency Collaborate with senior stakeholders to deliver analytics-led solutions, addressing regulatory challenges and generating organisational impact to contribute to improved decision-making and long-term economic outcomes Skills required Minimum: Extensive backend engineering experience building production services such as APIs and microservices with solid software engineering fundamentals combined with experience developing technical architecture and designs and taking them through enterprise review processes Experience delivering cloud solutions on AWS including deploying, operating and troubleshooting services in live environments Working knowledge of modern DevOps practices such as CI/CD, containerisation and monitoring with experience collaborating with engineers to deliver iteratively Essential: Solid backend engineering experience, with experience designing, building and running reliable services in production (performance, resilience and security) Direct experience building and operating solutions on AWS, including AWS AI services and the supporting platform services required for production delivery AI engineering experience delivering LLM-enabled systems using LLM APIs/Bedrock, including RAG architectures, vector databases and orchestration frameworks DevOps skills including CI/CD pipelines, containerisation and monitoring/observability, with experience defining release and operating practices for AI services Experience Leading Engineering teams: providing technical guidance, aligning on standards/patterns, and adapting plans to resolve delivery and operational challenges Demonstrable capability in prompt design and in setting evaluation/testing approaches for LLM solutions (quality, safety/guardrails and performance), including defining measurable success criteria Benefits 28 days annual leave plus bank holidays Hybrid model where employees work a minimum of 40% in the office each month (expectation of50% for senior leaders). Changing from September toa minimum of 50% in the office each month (expectation of60% for Directors andExecutive Directors) Non-contributory pension (8-12% depending on age) and life assurance at eight times your salary Private healthcare with Bupa, income protection, and 24/7 Employee Assistance 35 hours of paid volunteering annually A flexible benefits scheme designed around your lifestyle For a full list of our benefits, and our recruitment process as a whole visit our benefits page. Our values & culture Our colleagues are the key to our success as a regulator. We are committed to fostering a diverse and inclusive culture: one that's free from discrimination and bias, celebrates difference, and supports colleagues to deliver at their best. We believe that our differences and similarities enable us to be a better organisation - one that makes better decisions, drives innovation, and delivers better regulation. If you require any adjustments due to a disability or condition, your recruiter is here to help - reach out for tailored support. We welcome diverse working styles and aim to find flexible solutions that suit both the role and individual needs, including options like part-time and job sharing where applicable. Disability Confident: our hiring approach We're proud to be a Disability Confident Employer, and therefore, people or individuals with disabilities and long-term conditions who best meet the minimum criteria for a role will go through to the next stage of the recruitment process. In cases of high application volumes, we may progress applicants whose experience most closely matches the role's key requirements. Useful information and timeline Advert Closing: 02/08/26 CV Review/Shortlist: 03/08/26 Interviews W/C: 10/08/26 Your Recruiter will discuss the process in detail with you during screening for the role, therefore, please make them aware if you are going to be unavailable for any date during this time. At the FCA, we're creating a fair and more resilient financial system. We're establishing more transparent relationships between financial services and their customers, building trust in financial markets and protecting vulnerable consumers. Click here to learn more about the FCA.

Herbert Smith Freehills Kramer is a world-leading global law firm, where our ambition is to help you achieve your goals. Exceptional client service and the pursuit of excellence are at our core. We invest in and care about our client relationships, which is why so many are longstanding. We We enjoy breaking new ground, as we have for over 170 years. As a fully integrated transatlantic and transpacific firm, we are where you need us to be. Our footprint is extensive and committed across the world's largest markets, key financial centres and major growth hubs. At our best tackling complexity and navigating change, we work alongside you on demanding litigation, exacting regulatory work and complex public and private market transactions. We are recognised as leading in these areas. We are immersed in the sectors and challenges that impact you. We are recognised as standing apart in energy, infrastructure and resources. And we're focused on areas of growth that affect every business across the world. All of this is achieved by supporting the growth of our people, who help us deliver on our ambition - which is to help you achieve yours. Herbert Smith Freehills Kramer: Your goals. Our ambition The Opportunity The Performance & Observability Engineer plays a critical role in ensuring system reliability, scalability, and visibility across the entire technology stack. This role focuses on transitioning from traditional monitoring to full observability, enabling deep performance insights, real-time issue detection, and proactive optimisation. The ideal candidate will have expertise in performance engineering, distributed tracing, logging, metrics, and automation, driving improvements across cloud, infrastructure, and application layers. Primary Responsibilities Performance Engineering & Optimisation Analyse application, database, and infrastructure performance to identify bottlenecks and inefficiencies. Develop performance benchmarks and SLIs to measure service responsiveness and stability. Collaborate with SRE and DevOps teams to optimise CI/CD pipelines for performance improvements. Collaborate with wider IT teams to Implement caching strategies, query optimisation, and autoscaling to enhance system efficiency. Observability Platform Development & Implementation Design and implement end-to-end observability frameworks covering metrics, logs, traces, and events. Instrument services using existing tools (eg: Nexthink) to improve visibility. Enable distributed tracing across microservices to enhance root cause analysis and performance debugging. Standardise logging and telemetry collection across infrastructure, applications, and cloud services. Define best practices and consistent approach across development teams to improve monitoring consistency. Maturing from Monitoring to Full Observability Transition from basic alerting to proactive insights, leveraging AI-driven anomaly detection. Ensure comprehensive observability across frontend, backend, databases, cloud infrastructure, and networking. Implement Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Error Budgets to track system health. Automate root cause analysis and incident detection through advanced monitoring techniques. Incident Response & Reliability Engineering Reduce Mean Time to Detect (MTTD) and Mean Time to Resolve (MTTR) through improved observability. Integrate monitoring and alerting tools with incident response platforms (ie: ServiceNow). Develop self-healing and auto-remediation mechanisms to reduce operational toil. Improve alerting strategies by reducing false positives and improving signal-to-noise ratio. Governance, Compliance & Reporting Define observability best practices and governance models to ensure adoption across teams. Ensure log retention, security, and compliance with standards (e.g., GDPR, SOC 2, PCI DSS). Develop executive dashboards and reporting frameworks to showcase reliability and performance trends. Key Performance Indicators Maturity of Observability Capabilities % of Services with Full Observability Coverage - Ensure visibility across the entire stack. Instrumentation Completeness (%) - Track the number of services fully instrumented with logs, metrics, and traces. Service-Level Indicator (SLI) Coverage - Ensure key performance indicators are defined and tracked. Reduction in Blind Spots (%) - Improve monitoring coverage across all components. Performance & Reliability Metrics Application Response Time (P99, P95, P50 Latency) - Improve service performance. System Throughput & Load Handling (%) - Increase service efficiency and scalability. Reduction in Performance Bottlenecks (%) - Optimise infrastructure and application layers. Successful Load Test Pass Rate (%) - Ensure applications meet expected performance benchmarks. Incident Management & Operational Efficiency Mean Time to Detect (MTTD) and Mean Time to Resolve (MTTR) - Reduce system downtime and recovery time. Reduction in Noisy Alerts (%) - Improve alert relevance and reduce false positives. Proactive Issue Detection (%) - Increase the percentage of incidents identified before user impact. Error Budget Utilization (%) - Ensure system reliability is balanced with innovation velocity. Automation & AI-Driven Observability (AIOps) % of Issues Resolved via Automated Remediation - Reduce manual intervention in incident response. Reduction in On-Call Burden (%) - Minimize alerts requiring human intervention. Anomaly Detection Accuracy (%) - Improve proactive detection of performance issues. Business & Customer Impact Customer Experience Metrics (Latency, Errors, Uptime) - Ensure observability drives tangible business improvements. Downtime Reduction (%) - Improve service availability and reliability. Cost Optimisation from Performance & Observability (%) - Reduce operational inefficiencies and cloud expenses. Qualifications, Skills and Experience Technical Skills Experience in using and maintaining Observability & APM Tools - Grafana experience is essential Experience of using KQL Performance Testing & Load Testing Cloud & Infrastructure Monitoring - AWS CloudWatch, Azure Monitor, GCP Operations Suite, Kubernetes Observability. Knowledge of Log Aggregation & Analysis - eg: Grafana Loki, Splunk etc Automation & Scripting - PowerAutomate, Terraform, PowerShell Incident Response & ITSM - ServiceNow. Sound understanding of firm's applications, systems and tools across technology stack DevOps experience is desirable Nexthink experience is desirable Soft Skills & Collaboration Strong problem-solving and root cause analysis skills. Ability to translate observability insights into business impact for stakeholders. A continuous improvement mindset, focused on reducing toil and improving efficiency. Experience working in a DevOps, SRE, or Platform Engineering environment. Team Information Technology Working Pattern Full time Location London Contract Permanent Diversity & Inclusion We are committed to attracting people from all backgrounds and creating a respectful and inclusive culture where everyone thrives. We see this as essential to our success, including our ability to innovate and achieve sustained high performance. This is a key part of our Values-Human, Bold, and Outstanding. At Herbert Smith Freehills Kramer, we align your growth and ambition with ours. We invest in your personal and professional growth and support you to achieve your ambitions. And you share responsibility for playing a part in delivering the firm's growth and ambition too. A leading global law firm, with over 6,000 people, we are in the world's largest markets, key financial centres and major growth hubs. We're recognised leaders in demanding contentious matters, exacting regulatory work and complex public and private transactions. We're immersed in the many challenges facing our clients. We're invested and resourceful. We understand the part technology and digitalisation play in the delivery of legal services. We want to make a positive impact wherever in the world we operate. You'll have the opportunity to engage with this with an open mind and curiosity. We are known for our diverse perspectives and renowned for our culture. Being human, bold and outstanding are more than our values: you'll discover they are our lived experience. And by being ambitious for your growth and ours, we'll achieve our goals together. Herbert Smith Freehills Kramer: Your growth. Our ambition.

London, United Kingdom Posted on 20/07/2026 We are seeking a highly skilled Dynatrace Expert to lead the design, implementation, and optimization of our application performance monitoring (APM) strategies. This role focuses on ensuring the reliability and performance of our enterprise systems, specifically within AWS cloud environments, microservices architectures, and full-stack applications utilizing Java and Angular. The ideal candidate will possess deep expertise in Dynatrace configuration and advanced reverse engineering techniques to proactively identify, diagnose, and resolve complex performance bottlenecks and configuration issues. Key Responsibilities Dynatrace Configuration and Management The primary responsibility involves the end-to-end implementation, configuration, and continuous optimization of Dynatrace solutions across our infrastructure. This includes deploying OneAgent, configuring ActiveGates, and establishing comprehensive monitoring strategies encompassing tagging, baselines, and alerting mechanisms. The expert will create and maintain customized dashboards and reports to provide actionable insights into system performance for various stakeholders. Performance Monitoring and Issue Resolution The expert will continuously monitor system performance, analyzing logs, metrics, and distributed traces to diagnose application issues. A critical aspect of this role is utilizing reverse engineering methodologies to dissect complex system behaviors, identify root causes of performance degradation, and uncover hidden configuration flaws. This involves deep-dive performance analysis using tools like PurePath and Smartscape to ensure optimal operation of Java backends and Angular frontends. Cloud and Microservices Integration The candidate will be responsible for integrating Dynatrace monitoring within our AWS cloud infrastructure and microservices ecosystem. This includes ensuring seamless observability across containerized environments (e.g., Kubernetes, Docker) and serverless architectures. The expert will collaborate closely with development and DevOps teams to embed monitoring best practices into CI/CD pipelines, facilitating automated performance validation during deployments. Required Qualifications and Skills Technical Expertise Candidates must possess extensive hands-on experience with the Dynatrace platform, including advanced configuration and administration. A strong foundation in Application Performance Monitoring (APM) concepts is essential. The role requires profound knowledge of AWS services, microservices architectures, and full-stack development technologies, specifically Java and Angular. Analytical and Problem-Solving Skills Exceptional analytical skills are required to interpret complex performance metrics, including CPU, memory, latency, and throughput. The candidate must demonstrate proficiency in reverse engineering to troubleshoot intricate system issues and optimize configurations. Experience with scripting languages (e.g., Python, Shell) for automation and custom integrations is highly desirable. Collaboration and Communication The successful candidate will exhibit strong communication skills, enabling effective collaboration with cross-functional teams, including software engineers, system administrators, and project managers. The ability to document monitoring strategies, root cause analyses, and best practices clearly is crucial for maintaining a robust observability culture within the organization. Preferred Qualifications Dynatrace Associate or Professional Certification. Experience with OpenTelemetry (OTEL) implementation. Familiarity with other monitoring and logging tools (e.g., Splunk, Prometheus). Knowledge of DevOps practices and CI/CD toolchains.

We're Hitachi Digital Services, a global digital solutions and transformation business with a bold vision of our world's potential. We're people-centric and here to power good.Every day, we future-proof urban spaces, conserve natural resources, protect rainforests, and save lives. This is a world where innovation, technology, and deep expertise come together to take our companyand customers from what's now to what's next.We make it happen through the power of acceleration. Imagine the sheer breadth of talent it takes to bring a better tomorrow closer to today. We don't expect you to 'fit' every requirement - your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us. Job Description Mandatory Skills: Observability, Resiliency, Service Management, Reliability, Performance engineering, Scalability, release management, Cloud cost management. Role Description Skills: ROLE PURPOSE Lead the Site Reliability Engineering practice, driving the transformation from reactive operations to proactive, engineering-led reliability. Own the definition and enforcement of non-functional requirements (NFRs) using FMEA-based resiliency frameworks, and champion observability, self-healing automation, automated incident management, and database operations automation. Ensure systems are resilient, performant, cost-optimised, and continuously improving. KEY RESPONSIBILITIES Define and enforce non-functional requirements (NFRs) for performance, scalability, availability, fault tolerance, and cost efficiency using FMEA-based failure analysis Design and implement self-healing automation for known failure patterns, reducing human intervention and on-call burden by 50%+ Build comprehensive observability stacks (metrics, logs, traces) with ML-driven anomaly detection and AIOps capabilities Lead automated incident management: detection, triage, escalation, remediation, and post-incident review automation Drive DB automation: automated provisioning, release management (UK focus), backup/restore, and operational request workflows for all database operations Define and track SLIs, SLOs, and error budgets across all critical services, using them to balance reliability with feature velocity Conduct chaos engineering exercises and game days to validate resiliency and uncover hidden failure modes Mentor 2 SRE Engineers, establish engineering standards, and build a culture of reliability and continuous improvement Collaborate with Platform Engineering and Cloud teams to embed reliability into infrastructure and deployment pipelines TECHNICAL SKILLS & EXPERTISE Expert-level observability: Prometheus, Grafana, ELK/OpenSearch, Jaeger/Zipkin, Datadog, or Dynatrace Strong experience with AIOps and ML-driven monitoring: PagerDuty, Moogsoft, BigPanda, or custom ML pipelines Deep knowledge of FMEA, fault tree analysis, and chaos engineering tools (Gremlin, LitmusChaos, Chaos Monkey) Database automation: strong SQL skills plus experience with automated DB provisioning, migration tools (Liquibase, Flyway), and DB release pipelines Proficiency in automation and scripting: Python, Go, Bash, with experience building self-healing runbooks Infrastructure knowledge: Kubernetes, cloud platforms (AWS/Azure/GCP), networking, and storage systems CI/CD and release engineering: Jenkins, GitLab CI, Spinnaker, ArgoCD for integrated DB and application releases Cost management: experience with FinOps principles, resource optimisation, and cloud spend analysis SOFT SKILLS & COMPETENCIES Strong leadership and mentoring ability - coaches and develops junior engineers Excellent stakeholder management and communication skills across all levels Strategic thinker who balances technical depth with business outcomes Proven ability to drive change, influence without authority, and build consensus Strong analytical and problem-solving mindset with attention to detail Ability to manage competing priorities across multiple workstreams simultaneously QUALIFICATIONS & EXPERIENCE 7+ years in SRE, DevOps, or production engineering with 3+ years in a senior or lead capacity Proven track record of improving availability, reducing MTTR, and implementing self-healing at scale Experience managing or automating database operations in enterprise environments Relevant certifications preferred: CKA, AWS DevOps Professional, Azure DevOps Expert, SRE Foundation Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience) DESIRABLE / NICE TO HAVE Published work or conference talks on SRE, observability, or chaos engineering Experience with service mesh (Istio) and distributed tracing at scale Background in financial services or regulated industry SRE practices About Us We're a global, team of innovators. Together, we harness engineering excellence and passion to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can make a positive impact on their industries and society. If you believe that innovation can bring a better tomorrow closer to today, this is the place for you. Fostering innovation through diverse perspectives Hitachi is a global company operating across a wide range of industries and regions. One of the things that sets Hitachi apart is the diversity of our business and people, which drives our innovation and growth. We are committed to building an inclusive culture based on mutual respect and merit-based systems. We believe that when people feel valued, heard, and safe to express themselves, they do their best work. How we look after you We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We're also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We're always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you'll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with. We're proud to say we're an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.

Job Title Senior Platform Engineer Job Description So, who are we? IG is a FTSE 100 fintech operating across five continents, serving over 1.3m customers and handling billions of dollars in transactions - built on scale, trust, and proof. We didn't pivot to innovation; it's how we've always operated. What that means for the people who work here is real: genuinely complex problems to solve, the technology and resources to tackle them properly, and the kind of scope that's rare in established businesses. The bar is high - bring a curious and forward-thinking mindset and we'll give you the platform to define what comes next. Join us at IG - the future gets built here. Your team This role is part of our Platform Engineering team they are responsible for building the cloud and containers platform landscape to support the business applications via self-service capabilities and automation. Your role in the Team's Success The Senior Platform Engineer is a hands on technical contributor responsible for building, evolving, and maintaining cloud platform infrastructure to ensure it is secure, scalable, reliable, and cost effective. The Senior Platform Engineer embeds best practices into platform design and delivery across Engineering, Security and FinOps. They operate as a hands on expert, contributing to complex technical decisions, reducing platform risk, and enabling engineering teams to build and operate services with confidence, speed, and financial discipline. The role includes mentoring junior engineers and supporting knowledge sharing across the team. What you'll do Design and architect scalable AWS cloud infrastructure, developing IaC solutions using Terraform and leading cloud technology evaluation and standardisation initiatives Build, optimise, and maintain CI/CD pipelines for infrastructure deployment, establishing DevOps and DevSecOps best practices across the organisation Architect and manage Kubernetes environments (EKS, AKS, GKE) and implement platform engineering tools to deliver self service capabilities via an IDP (e.g. Backstage) Define and enforce monitoring, alerting, and observability standards to ensure infrastructure reliability and performance Foster collaboration between development and operations teams, bridging gaps to drive a unified engineering culture Mentor junior engineers, share knowledge across the team, and write and maintain documentation to support continuous learning and engineering best practices What you'll need for this role Cloud Infrastructure & Experience: 4+ years in cloud infrastructure engineering with hands on experience designing and administering complex platforms across AWS, GCP, and Azure, including deep knowledge of networking (VPC, Direct Connect, Transit Gateways, BGP, OSPF) and IaaS/PaaS architectural patterns Infrastructure-as-Code & Automation: 2+ years with IaC tools (Terraform or Ansible) and hands on experience with orchestration and automation platforms (AWX, Ansible Tower, Terragrunt), scripting in Python, Bash, or Go DevOps & DevSecOps: 2+ years designing and implementing CI/CD pipelines using Jenkins, GitLab, GitHub Actions, or equivalent, with strong knowledge of security best practices including secrets management, vulnerability scanning, and compliance Kubernetes & Containers: 2+ years of Kubernetes administration across on premises and cloud environments (EKS preferred, AKS, GKE), with proficiency in networking, RBAC, pod security, service mesh (Istio), and Docker image management Platform Engineering & Developer Tooling: Experience implementing developer portals (Backstage), artifact repositories (JFrog Artifactory, Nexus), API gateways, and self service platform engineering tools to support internal teams Observability & Reliability: Hands on experience with monitoring and observability platforms (Honeycomb, Prometheus, Grafana), including defining alerting standards and ensuring infrastructure reliability at scale Architecture & Design: Strong grasp of microservices architecture, cloud networking protocols (Layer 2/3, MPLS), DNS, load balancing, and traffic management, with the ability to contribute to and implement technical direction Version Control & Collaboration: Proficiency across version control systems (Git, GitHub, GitLab, Bitbucket) with the ability to operate autonomously and contribute to engineering standards across teams How we work We try to take a thoughtful approach to our ways of working as a company. We follow a hybrid working model with 3 days in the office - which we think balances the need to collaborate effectively and connect with each other. When it comes to how we deliver, there are 5 things we want everyone to do to drive high performance, better learning and career satisfaction: Lead and Inspire: Drives trust, alignment, and enthusiasm Think Big: Focus on the problems that most impact commercial outcomes Champion the client: Understand and prioritise client's needs Deliver at pace: Push for fast, sustainable growth Raise the bar: Take ownership, be accountable and share feedback We believe that diversity is vital to success, it fuels creativity, drives innovation and sets us up for global success. We're committed to building teams with a variety of perspectives and skills to help us realise our vision and strategy, that's why we encourage applications from people with diverse backgrounds and experiences to join us on this journey. Learn more about our D&I approach here. The Perks Thrive with tailored development programs, mentoring opportunities with leaders, and clear career progression. Expand your network through committees, sports and social clubs. Enjoy extra time off for volunteering and community work. Learn more about the Perks here! Join us for this exciting journey.

About Distyl AI Distyl is an applied AI technology company partnering with the world's most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations. We research and deploy technologies that power AI-native operations - both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission critical workflows. As a result, Distyl's technologies affect some of the world's largest operations - from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys. Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. The results reflect this approach: a 100% production deployment success rate for our customers and one of the few enterprise AI companies to run a profitable business. What We're Looking For We're opening an office in London, UK and looking for AI Engineersto design and deploy production grade AI systems powered by LLMs. At Distyl, AI Engineers work directly with Fortune 500 companies to transform complex workflows using cutting edge AI. You'll build and ship real world AI applications - from intelligent agents to full stack AI products - and see them operate at scale in mission critical environments. This role is highly hands on. You'll collaborate closely with customers, define system architectures, and build reliable, high impact AI systems from prototype to production. Engineers at Distyl also help shape technical direction across major customer engagements, guiding enterprise teams through AI adoption and deployment. Key Responsibilities Build Production AI Systems: Design, develop, and deploy robust AI applications using LLMs, including prompt engineering, agent workflows, tool use, and full stack AI products Work Directly with Customers: Partner closely with enterprise stakeholders to understand complex problems and translate them into impactful AI solutions Lead System Architecture: Design scalable architectures for production AI systems, balancing performance, reliability, cost, and maintainability Develop Our Internal Platform: Contribute to Distillery, our internal LLM application platform, by building reusable infrastructure, tools, and workflows used across customer deployments Evaluate AI Systems Rigorously: Develop evaluation frameworks that measure model performance across accuracy, latency, cost, reliability, and safety Ship Production-Grade Systems: Ensure systems meet high standards for observability, reliability, security, and maintainability Raise the Engineering Bar: Improve development workflows, evaluation practices, and deployment strategies as our AI platform continues to evolve Who You Are 3+ years of professional software engineering experience Strong proficiency in Python or TypeScript Experience building and deploying LLM powered applications or AI agents in production Experience with modern LLM tooling such as LangChain, LlamaIndex, Guardrails, MCP, or agent frameworks Experience implementing RAG pipelines, tool use, or multi step AI workflows Strong understanding of AI system evaluation, debugging, and observability Experience building reliable production systems with modern DevOps practices Experience deploying AI systems in enterprise environments is a plus Experience working across cloud platforms (AWS, GCP, or Azure) is a plus Experience with agent architectures and long horizon task execution is a plus Familiarity with responsible AI practices, including auditability and governance is a plus What We Offer Competitive salary, meaningful equity, and a comprehensive benefits package Workplace Pension Scheme with employer contributions Private Medical Insurance (PMI) offered Flexible Time Off + Holidays Lunch provided on office days Access to state of the art models, generous usage of modern AI tools, and real world business problems Ownership of high impact projects across top enterprises A mission driven, fast moving culture that prizes curiosity, pragmatism, and excellence

Multiple locations Hybrid Are you an engineer who has shipped distributed backend systems at scale, knows what breaks in production, and fixes it before it does? Do you want your work to have a direct impact on the wellbeing of millions of people across Europe? If yes - read on. The company is one of Europe's fastest-growing companies (Financial Times, multiple years running). We're a leading provider of employee benefit solutions, operating across Finland, Germany, Italy, UK, France, the Nordics and beyond. We started in Helsinki in 2007, launched Europe's first mobile employee benefit payment in 2008, and haven't stopped building since. Your mission at the company You will join a cross-functional product team building and evolving a modern, distributed platform that powers the company's product vision across European markets. We are adding this role to strengthen our backend engineering capabilities and establish a solid, scalable foundation for Java Spring Boot services built for long-term growth - not just the next sprint. Your responsibilities will be: Design, build, and maintain high-quality Java Spring Boot microservices within our domain bounded context architecture. Implement event-driven patterns for cross-domain communication and eventual consistency - you understand why, not just how. Work with PostgreSQL as primary data store: schema design, multi-tenancy, data isolation, query optimization under real load. Implement RESTful APIs with proper versioning, rate limiting, and API gateway integration. Ensure high standards for code quality, testing (unit, integration, contract), performance, and security - >80% coverage is the floor, not the ceiling. Collaborate closely with Product, Frontend (React Native), DevOps, and backend teams across multiple European markets. Participate in architectural discussions and design reviews; contribute to platform-wide standards and decision records (ADRs). You'll be successful in this role if you: Deliver production-ready, scalable microservices that meet target architecture specs - and own them after go-live. Define clear domain boundaries that prevent cross-domain coupling while enabling integration through well-designed APIs and events. Maintain >80% test coverage and contribute ADRs that shape platform decisions - not just for your services, but for the team. Proactively identify and reduce technical debt before it becomes someone else's emergency. Communicate clearly, work effectively across teams and time zones, and make cross-functional collaborators want to pull you into early conversations. Operate with a 'you build it, you run it' mindset - and genuinely believe that's the right way to work. What you'll be doing (daily): 15-minute stand-up with your cross-functional domain team - align, unblock, move. Design and implement features in your domain using Java Spring Boot, with clean, testable code as the default. Write comprehensive unit and integration tests; participate in code reviews that raise the team's standard. Monitor service health, investigate data consistency issues, and resolve production problems with distributed tracing and structured logging. Collaborate with frontend engineers to clarify API contracts and coordinate releases. Participate in architectural discussions and design reviews for new or cross-cutting capabilities. Deploy to staging and production via CI/CD (GitHub Actions), using feature flags for controlled rollouts. What you should bring: Non-negotiable: 6+ years of professional software development, with 3+ years focused on Java backend - in production, at scale, with real failure modes you had to resolve. Deep expertise in Java 17+ and Spring Boot (Spring Data JPA, Spring Security, Spring Cloud). Microservices architecture: you've designed service boundaries, not just worked inside them. Domain-Driven Design: bounded contexts, aggregates, domain events, anti-corruption layers - you can apply this, not just describe it. PostgreSQL: schema design, indexing, query optimization, and transaction management under load. Event-driven architecture with Kafka, RabbitMQ, or AWS SNS/SQS - at scale, in production. RESTful API design: versioning, OpenAPI/Swagger documentation, rate limiting - contracts you'd stand behind in a design review. Testing discipline: JUnit, Mockito, integration and contract testing (Pact). Docker and Kubernetes: deployment strategies, service mesh - operational experience, not just familiarity. CI/CD pipelines: GitHub Actions, Jenkins, or GitLab CI. Observability: structured logging, distributed tracing (Jaeger/Zipkin), metrics (Prometheus/Grafana/Datadog). Active experimentation with AI/LLM tooling applied to real engineering problems - automated workflows, reduced manual ops, smarter exception handling. Not a side project: something in production that you can talk about with specific. Mentoring: you've made other engineers meaningfully better, not just shipped more code. Language profile: Fluent in English Track record: You've delivered and operated microservices in production - from design through deployment, on-call, and post-mortem. You've made measurable improvements to performance, reliability, or scalability (reduced latency by X%, improved uptime to Y, scaled from Z to ZZ req/s). You've collaborated effectively in cross-functional teams and left documentation behind that others actually used. You've contributed to technical decision-making: architecture reviews, design documents, or ADRs that had real consequences. You've led knowledge-sharing sessions or mentored engineers who are better for it. Competency profile: Systems Thinking: You understand how components interact in distributed systems. You design for failure scenarios, not just the happy path. Ownership & Accountability: You take end-to-end responsibility. When something is broken or missing, you raise it and fix it - you don't wait for the ticket. Pragmatic Problem-Solving: You balance ideal solutions with practical constraints. You know when to move the architecture forward and when to ship. Collaboration & Influence: You shape technical decisions through quality of argument, not seniority. You can disagree and commit - and you know when to do which. AI-Readiness: You think about AI strategically, not just tactically. You've embedded AI-driven automation into production systems, can evaluate where it adds real leverage versus where it creates noise, and actively help the team develop this fluency. Continuous Learning: You stay current, experiment, and adapt. You optimize for the codebase 2 years from now, not just the sprint. Quality Mindset: You build maintainable, secure, well-tested services. You document, you mentor, you leave things better than you found them. Why you should join us: Be part of an ambitious growth journey - join a global community of driven, bold, entrepreneurial, yet humble Epassians in a company that is constantly evolving. Work with a clear purpose - boosting everyday wellbeing - and create meaningful, positive impact on individuals and society. Thrive in an open, inclusive culture with low hierarchy, where relationships are built on respect, camaraderie, and shared success. Come as you are - we'll bring out the best in you and support your personal and professional growth. Join a fast-growing tech company with a strong financial foundation, offering real opportunities to make an impact. Work in an environment where employee wellbeing is a genuine priority, not a slide in a deck. Help shape the next wave of success as we consolidate our position as Europe's number one employee benefit platform. Benefits: Hybrid and flexible working style Modern working tools International environment Benefit package for wellbeing support Private health support

Intermediate Data Engineer Department: Insurance Retail Employment Type: Permanent - Full Time Location: North West UK - Hybrid Compensation: £40,000 - £45,000 / year Description We're seeking an Intermediate Data Engineer to join our Insurance Retail department, supporting development squads with reliable, automated and cloud-ready data solutions. This role is suited to someone who can combine strong SQL, scripting and AWS experience with modern DevOps practices to build, maintain and improve data pipelines, data services and supporting infrastructure. AI is a key part of the role. You will be expected to use AI-assisted engineering tools responsibly to accelerate development, improve documentation, support analysis and identify opportunities to automate repeatable data engineering and operational tasks. Working closely with engineers, analysts, architects and stakeholders, you will help turn data requirements into maintainable, observable and secure solutions. You will maintain awareness of industry and technology developments, contribute to technical discussions, and support continuous improvement across data engineering, automation and operational practices. The role includes ownership of work throughout its lifecycle, from development and testing through to production support, incident resolution, continuous improvement and knowledge sharing across the department. About CDL CDL is one of the UK's leading software development houses, employing over 600 people at its campus in Stockport. It has a consistent history in the high-volume retail insurance sector. CDL has spearheaded developments in the aggregator, web and telematics space, including connected home, enrichment and self-service solutions. As a result, the company's robust and innovative technologies have enabled its customers to thrive in the highly competitive UK insurance marketplace. We have built a collaborative and creative culture,leveraging AI-driven solutions to enhance our products, processes and decision-making.We pride ourselves on cultivating an inspiring working environment with our employees at the heart of our company. In a nutshell we are the market leading software house in our industry, creating the software, websites & apps for the Insurance & Finance sector across the UK. If you were to go on a price comparison website, approximately 65% of the companies on there are our clients! What You'll Do Building, testing, monitoring and maintaining data pipelines and infrastructure to support the Data Platform using best practices including CI/CD, IaC and DevOps. Apply security best practices across data pipelines, cloud infrastructure and operational processes, ensuring data is protected through appropriate access controls, encryption, monitoring and secure engineering practices Use AWS services and PostgreSQL/AWS RDS knowledge to design, deliver and support scalable, reliable and secure data solutions, ensuring appropriate governance, resilience and protection of business data. Actively embrace AI-assisted engineering practices and demonstrate a willingness to learn, experiment with and responsibly adopt emerging AI tools such as Kiro, GitHub Copilot or equivalent technologies to improve delivery flow, quality, documentation, analysis and operational efficiency. Develop and maintain automated deployment, testing and operational workflows using GitLab pipelines, version control, Terraform/OpenTofu and scripting. Contribute to data quality, lineage, governance and observability practices to ensure data is trusted, traceable, secure and supportable throughout its lifecycle. Investigate data quality, platform reliability, pipeline performance and operational issues, identifying practical improvements, preventative actions and automation opportunities that enable squads to move faster and more safely. Working with business stakeholders, analysts and architects to understand business and technical requirements, designing data models and data structures that support reporting, analytics and operational use cases. Contribute to database and data platform activities such as upgrades, data migrations, schema updates and platform modernisation initiatives. Documenting processes and products, sharing knowledge across the squad and wider business, and supporting the development of less experienced engineers through mentoring, pairing or technical guidance where appropriate. Contribute significantly to small-to-medium feature deliveries and multi-person initiatives, collaborating with engineers and stakeholders to deliver reliable outcomes. About You Hold, or be willing to obtain, a relevant AWS certification that can be registered against the CDL APN. Proven experience working with AWS services relevant to data engineering and operational support, such as RDS, S3, Lambda, ECS, EC2, VPC, CloudWatch and related services. Experience with MySql and Oracle databases would be advantageous. Strong SQL skills, including PostgreSQL experience, query optimisation awareness and the ability to investigate data or performance issues. Good understanding of security principles including least-privilege access, encryption, secrets management, vulnerability remediation and secure handling of sensitive data. Experience with CI/CD pipelines, automated testing and deployment practices using GitLab or similar tooling. Experience with Infrastructure as Code tools such as Terraform, OpenTofu or CloudFormation. Good understanding of version control workflows, branching strategies and GitLab best practice. Experience of, or a strong willingness to learn, AI-assisted engineering tools such as Kiro, GitHub Copilot or similar technologies to improve engineering effectiveness and delivery outcomes. Familiarity with observability and troubleshooting tooling such as Dynatrace, OpenSearch/Elasticsearch or CloudWatch logs. Ability to communicate clearly, analyse problems, work collaboratively and explain technical concepts to both technical and non-technical stakeholders. Familiarity with Agile methodologies and operational tooling such as Jira and ServiceNow. What You'll Get Salary The salary for the role of Intermediate Data Engineer pays up to £45,000p.a. (Level 4) providing a fantastic opportunity for career progression through CDL's clearly defined career framework Your growth and advancement within CDL are only limited by your own ambition and effort. Benefits Hybrid Working (2 Days a Week in the office - SK4 2HD) Flexible working. 25 days holiday to start, increasing by 1 day per 1 year of service up to 30 days. Top employer for 10th year running Excellent training and development platform Opportunities for career progression Health and Wellbeing Programme Virtual activities, lunch and learns, coffee mornings and meetups. Life and health assurance Electric Vehicle Scheme Established Recognition Award System Great Parental Benefits Diversity and Inclusion network Pension scheme Community projects and volunteer days Refer a friend bonus Campus Benefits: On-site free parking Open plan modern offices Quiet Spaces are also available Shuttle bus to and from the station Subsidised restaurant Games room, pool & table-tennis tables and chill out zone Annual Hackathon & Deep Racer Events Social activities, regular social events through our social group Xtra, including a summer BBQ, competitions, bowling, go-karting, football games, Winter party and much more! Car wash, barber, yoga classes, boot camp and massage services all on site Cycle to work scheme Shower and dry rooms Diversity and inclusion: We're on a journey to keep innovating, that means welcoming new ideas and ways of thinking. CDL recognises that building a diverse workforce is critical to the success of our business. We strongly encourage applications from a diverse talent pool and welcome the opportunity to discuss flexibility requirements and workplace adjustments with all our applicants.