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About Darkshield Darkshield is an expert cybersecurity agency based in York, UK. We help organisations navigate an increasingly complex digital landscape by providing expert services in penetration testing, vulnerability assessment, managed security, and compliance. Our mission is to protect businesses by delivering tailored, cutting edge cybersecurity solutions that keep them resilient and ahead of cyber threats. The Role We are looking for a Cloud Security Engineer to join our growing team. This role involves designing, implementing, and managing security solutions across AWS, Azure, and Google Cloud. The ideal candidate will have a deep understanding of cloud security architectures, automation, and compliance frameworks. Key Responsibilities Cloud Security Architecture & Implementation Design and implement cloud security architectures across AWS, Azure, or Google Cloud. Develop and enforce cloud security controls, including IAM policies, encryption, and network security. Threat Monitoring & Incident Response Monitor cloud environments for security threats, vulnerabilities, and misconfigurations. Lead incident response efforts related to cloud security breaches and misconfigurations. Implement SIEM and security monitoring tools for real time threat detection. Cloud Security Assessments & Compliance Conduct cloud security assessments, penetration testing, and risk analysis. Ensure compliance with ISO 27001, NIST, CIS Benchmarks, GDPR, and other security standards. Collaborate with DevOps teams to integrate security into CI/CD pipelines. Security Automation & Infrastructure as Code (IaC) Automate security policies and compliance enforcement using Python, Terraform, Ansible, or CloudFormation. Develop security automation scripts for vulnerability scanning and patch management. Collaboration & Knowledge Sharing Provide guidance and best practices to internal teams on cloud security. Work closely with developers, DevOps, and compliance teams to align security requirements. Required Qualifications & Experience Technical Skills & Experience At least three years of experience in cloud security engineering or a related role. Hands on expertise securing AWS, Azure, or Google Cloud platforms. Strong knowledge of IAM, firewalls, WAFs, encryption, and security groups. Experience with security automation using Python, Terraform, or CloudFormation. Familiarity with container security (Kubernetes, Docker) and microservices security. Certifications (Preferred, Not Required) AWS Certified Security - Specialty Azure Security Engineer Associate (AZ 500) Google Professional Cloud Security Engineer CISSP, OSCP, CEH, or relevant security certifications are a plus. Soft Skills & Work Environment Strong problem solving skills and ability to think like an attacker. Excellent communication and collaboration skills to work with cross functional teams. Ability to work independently and handle multiple projects in a fast paced environment. Success Criteria (Performance Expectations) Implement cloud security controls across at least one major cloud provider within the first three months. Conduct at least two full cloud security assessments per quarter. Develop automated security enforcement scripts that reduce vulnerabilities by 30percent within the first six months. Why Join Darkshield? Work on cutting edge cybersecurity projects with top tier clients. Career growth opportunities in a fast growing cybersecurity agency. Flexible work environment - remote and hybrid options available. Competitive salary and bonuses based on security impact and research.

TGR Haas F1 Team has been a stalwart of the FIA Formula 1 World Championship over the past decade. With more than 200 grand prix starts to our name, we pride ourselves on being an ambitious challenger within Formula 1 - and we want you to be part of that journey. The first American Formula 1 team to compete in the sport since 1986, TGR Haas F1 Team made an immediate impression with a memorable points-scoring debut at the 2016 Australian Grand Prix. Ten years later, the team is still building momentum, guided by clear objectives and technical partnerships, and fresh from securing its second biggest points haul in a Formula 1 season. We're a racing team - not a corporate machine. We have three HQs - Kannapolis in the US, Banbury in the UK and Maranello in Italy - each powered by passionate, loyal and hardworking team ambassadors. At TGR Haas F1 Team, you'll gain exposure to many areas of the business, enjoy wider visibility, and clearly see your contributions. Yes, you'll learn from us, but we expect to learn from you too! General Summary This role reports to the IT Infrastructure Operations Manager or their designee and is based in Banbury, UK. This position is the technical owner of Haas F1 Team's global networking estate, accountable for its availability, performance, security and continuous improvement. Acting as the design authority and senior escalation point for networking, the role ensures the network reliably underpins critical race operations and business systems, while driving its modernisation towards software-defined and automated networking. While the primary focus is networking, the role also requires flexibility and broader technical knowledge to support wider infrastructure and platforms as required. Role Principles Act with integrity, always upholding the highest professional and ethical standards. Drive innovation and change to continuously improve ways of working and outcomes. Pursue operational excellence, ensuring efficiency, quality, and continuous improvement. Collaborate inclusively, building strong partnerships to achieve shared goals. Maintain a customer focused approach, prioritising the needs of internal and external stakeholders. Champion sustainability by embedding responsible and environmentally conscious practices into everyday work. Key Responsibilities Lead the design, delivery, security and continuous improvement of Haas F1 Team's multicontinental networking estate, ensuring secure, scalable, resilient, high performing and highly available network services that underpin critical race operations and business systems, while driving modernisation towards software defined and automated networking. Own the design, implementation and lifecycle management of enterprise networking across on premises, cloud and trackside environments, including LAN, WAN, SD WAN, wireless and secure remote connectivity. Maintain, optimise and secure network and security infrastructure, including routing, switching, firewalls, VPN, load balancing and network access control, ensuring performance, capacity, patching, resilience, backup and tested disaster recovery. Embed secure by design principles and security controls into all network architecture and changes as standard, working closely with the Security function. Deliver network projects and improvements through to completion, managing scope, timelines, risks and dependencies in line with change control and information security policies. Provide 3rd line technical support and escalation for network incidents, ensuring adherence to SLAs, and act as technical lead for root cause analysis and continuous improvement following incidents or service issues. Define and maintain network engineering standards, deployment patterns, operational procedures and technical documentation, and establish monitoring and alerting that proactively identifies and resolves performance, capacity and reliability issues. Drive modern engineering practices across the network estate, including automation, infrastructure as code and standardised delivery, improving reliability, consistency and scalability. Operate, support and help deliver wider infrastructure and platform services as required, applying technical knowledge beyond networking to maintain resilient, integrated solutions across the estate. Work flexibly across the Infrastructure, Cloud and Apps team and wider IT functions, providing cover and helping translate business requirements into practical technical solutions. Liaise with technology vendors and service providers for support, maintenance, procurement and performance oversight. Mentor and guide junior engineers and support colleagues, sharing knowledge to raise the team's overall network and infrastructure capability. May be required to support major incidents and time critical issues outside normal working hours on a reasonable, business needs basis, leading response and recovery and participating in on call or escalation arrangements where applicable. Technical Leadership & Expertise Act as a recognised subject matter expert in area of specialism. Provide technical guidance and informal coaching to peers and project teams (without direct line management responsibility). Influence technical direction, standards, and decision making across the function. Contribute to the development and continuous improvement of systems, tools, and processes. Lead or contribute to complex technical projects and initiatives. Operational Delivery Promote a culture of accountability, collaboration, and service excellence within the team. Own and deliver complex or high impact technical workstreams. Ensure deliverables meet quality, performance, and regulatory standards. Proactively identify opportunities for efficiency, automation, and innovation. Support continuous improvement initiatives across the function. Ensure team compliance with relevant legislation, policies, and procedures. Stakeholder Collaboration Build effective working relationships with internal colleagues, external partners, and service users. Act as a key technical point of contact for specialist queries and escalations. Contribute technical expertise in meetings, working groups, and cross functional initiatives. Governance & Risk Ensure compliance with relevant policies, standards, and regulatory requirements. Identify technical and operational risks and contribute to mitigation strategies. Support audit, compliance, and governance activities as required. Person Specification Essential Qualifications & Experience BSc, MIS or other IT related qualification, or equivalent practical experience. Over 7 years of progressive IT experience, including at least 3 years in a networking role. Relevant IT, networking and cyber/information security certifications are advantageous. Exposure to international, high performance or mission critical environments is advantageous. Experience delivering complex work independently in high performance environments. Resilience & Composure Maintains calm and focus in high pressure, fast paced environments. Able to handle setbacks and adapt quickly to changing circumstances. Integrity & Discretion Trusted to manage confidential information and sensitive team matters. Upholds the highest standards of professionalism and ethical conduct. Maintains focus and effectiveness in high pressure, fast paced environments. Adapt quickly to changing priorities and technical challenges. Team Oriented Collaborative mindset with a commitment to team cohesion and shared success. Willingness to mentor and develop talent within the organisation. Adaptability & Flexibility Comfortable with flexible working hours, including weekends, and occasional travel as required. Open to innovation and continuous improvement in processes and culture. Equipment and Applications Essential Proven hands on experience designing, implementing and operating enterprise networks, including routing, switching, wireless and network segmentation across complex environments. Strong knowledge of enterprise firewalls, SD WAN and modern secure access architectures (for example ZTNA, SASE, Cisco or equivalent), including a shift away from traditional perimeter based VPN models. Solid understanding of network security principles, including zero trust concepts, network access control, micro segmentation and secure by design practices. Strong knowledge of core network services and protocols (for example DNS, DHCP, BGP, OSPF, VLANs, QoS, Multicast and 802.1X). Solid network monitoring and fault diagnosis capability, with sound performance tuning and proactive optimisation skills. Desirable Working knowledge of cloud and cloud native networking (for example Microsoft Azure, multi cloud and container/Kubernetes networking), including virtual networks, connectivity, gateways and hybrid integration. Familiarity with observability and telemetry driven analytics to support deeper performance insight at scale. Exposure to or a keen interest in network automation and infrastructure as code (for example Ansible, Terraform or Python) to manage configuration, deployment, testing and validation at scale. Broad infrastructure and platform knowledge, including virtualisation . click apply for full job details

Senior ML / MLOps Engineer A career at Booksy means you're part of a global team focused on helping people around the world feel great about themselves, every day. From empowering entrepreneurs to build successful businesses, to supporting customers in arranging their 'me time' moments, we're in the business of helping people thrive. Working in a fast-moving scale-up where the ML platform is still being built, not inherited, is not for everyone. If you prefer a mature toolchain handed to you on day one, a narrow brief, and limited ownership, this likely isn't your place. But if you want to set the standards, own the path to production, and build something that stays healthy at real scale - you'll feel right at home. As a Senior ML / MLOps Engineer, you'll be a foundational hire in our new Data Science & Applied AI function - working in close partnership with our Data Scientists to take intelligent systems from prototype to production, and keep them performing once they're live. You'll own the productionisation of our machine learning work end to end: real-time serving against SLAs, a standardised CI/CD path to production, GenAI and RAG system deployment, and the monitoring infrastructure that catches drift and quality degradation before business KPIs move. You'll work on a GCP-native stack - Vertex AI, BigQuery, dbt, Airflow, and Terraform - on problems that matter from day one, with the autonomy to shape how the function scales and who joins it next. You'll collaborate closely with Data Scientists, Platform, and Engineering, acting as both a technical owner and an advocate for Data Science needs across the organisation. Essentially, to ensure you succeed in this role you're going to need A track record of putting models into production alongside Data Scientists - classic ML, LLM/GenAI, or both Deep understanding of the ML lifecycle from prototype to production, including real-time serving, feature stores, autoscaling, and blue/green deployments Strong Python and SQL skills Hands-on GCP experience, especially Vertex AI, Kubeflow pipelines, and BigQuery - or strong fluency on an equivalent cloud with a clear ability to get to Vertex fast Solid CI/CD and production-monitoring experience, including model registries, versioning, drift detection, and automated retraining At a minimum we require conversational-level English language skills. English is our company language and is used for business-wide communication. It will also help you to have Experience with LLM evaluation, observability tooling, or RAG systems in production Experience defining MLOps standards across multiple teams Exposure to cost and latency management for GenAI systems Benefits This is a fully remote position across the UK, Spain, and Poland. We take pride in being a globally distributed team. Competitive salary plus bonus. Private health cover, life insurance, pension, and enhanced parental leave - with specifics tailored to your location. A generous holiday allowance plus public holidays. Access to a global learning and development programme, wellbeing support, and discounts across partner platforms. How AI Helps Us Find Great People Think of our AI tool as a really smart assistant for our recruitment team. Its job? To help us move faster, stay consistent, and make sure no great candidates are overlooked. Every application goes through the same AI review to help us spot skills that match the role - but don't worry, AI never makes the decisions. Real people do. Our recruiters and hiring managers handle every final call. And we regularly review how the tool is used to keep things fair, ethical, and compliant with data protection laws. Curious about how it works? You can always ask how AI was used in your application - it won't affect your chances in any way. If you have questions, just drop us a note - we're happy to explain more. Our Diversity and Inclusion Commitment We work in a highly creative and diverse industry so it goes without saying that we strive to create an inclusive environment for all. We welcome people from all backgrounds and are committed to fair consideration in our hiring process. If you have any accessibility needs or require reasonable adjustments during the interview process, please contact us at so we can best support you. Kindly submit your application and CV in English to ensure it is successfully reviewed.

Cloud Engineer (AWS) Location: London, UK Cloudscaler are based in Central London, with customers across the UK. Travel to our customer sites is required, the frequency of which will vary from customer-to-customer up to 3 days per week onsite. The customer that these vacancies are signposted for requires an onsite presence of 1 day every 2 weeks in Bath. Salary: £45,000 - £70,000 Defence/SC Clearance Requirements: Due to working with a number of government bodies, SC clearance is required for our customer facing teams. You do not need active SC clearance as we will undertake checks upon you joining, but you must be eligible to pass SC clearance. In future, DV clearance may be required, so the ability/willingness to pass DV clearance is advantageous but not essential. Due to the nature of this project we are only able to accept UK based applicants for this role About us We are experts in AWS landing zones, cloud risk mitigation and cloud operating models; thought leaders working with public and private sector enterprise organisations to help them unlock the true value of cloud. Why you should join us We care about our people and truly believe that high-performing teams are created through openness, collaboration and trust. We ensure that there are opportunities both inside and outside of work to collaborate, share ideas and build connections. We recognise that everyone brings their own unique skills and experiences, so we regularly collaborate across all teams and functions, to build a truly inclusive culture, including team socials, quarterly company days, and monthly "town halls". Recognising that everyone brings their own unique skills and experiences, our learning and development opportunities are bespoke to each individual; helping you to advance through our transparent career development pathways and achieve your career goals. What we're looking for We are looking for AWS Cloud Engineers ideally with AWS Landing Zone experience who have built, tested packaged, deployed and operated AWS platforms. You may also have an understanding of the challenges of managing a multi-tenant platform and how SRE principles can be applied. Experience building AWS resources using Terraform or other IaC, competent in Python for Lambda development Understands the Shared Responsibility model, the key challenges when using AWS and its benefits vs on prem Build, deploy and operate containers (ideally Docker) Appreciation of AWS/cloud shared security model, can create Security Guardrails (SCP, Config, etc.) Knowledge of platform engineering concepts and the difference between platform and DevOps Understands of the challenges of operating services in a production environment Experience with AWS security services A deep understanding and experience of building, testing, packaging, releasing, and deploying code and services within a team-based environment Kubernetes experience What you'll be doing You will be working closely with our customers' stakeholders, advising them through complex cloud transformations. You'll be workign along side Senior and Principal engineers as well as using your experience and expertise to deliver best-in-class AWS platforms, operating models and security models. Building, testing, packaging, deploying and operating cloud platforms alongside shared platform tooling within AWS environments Automating the build of infrastructure resources within AWS Packaging services into AMIs, Docker containers or Serverless deployments Creating IaC using Terraform Delivering platform improvements and new tools Building AWS resources using infrastructure as code using Terraform (or CloudFormation) and Packer Delivering within an agile environment Kubernetes administration Benefits Discretionary bonus Discretionary security clearance bonus for those holding certain clearance Periodic offer of share options schemes 25 days' annual leave 5 additional days per year towards training, certifications, or charity work Option to buy additional annual leave up to 5 days per year Public holidays opt-out scheme, the option to work on public holidays creating the flexibility to enjoy your time off when it suits you Certifications and training expensed Life Assurance Long Term Disability cover Employee Assist Programme for employee advice and support (including legal and counselling helpline) Health, Mental Health, Wellbeing, Financial and Legal support 24/7 GP access Pension auto-enrolment and contribution Employee referral scheme Client referral scheme Cycle to work scheme Travel expenses policy Interview Process Screening call with our Talent Acquisition team 1st Interview - 30 minute remote interview with our hiring team 2nd Interview - 60 minute remote technical interview with members of our engineering team 3rd Interview - 60 minute in person interview with members of our Senior Leadership Team Cloudscaler are proud to be an equal opportunity employer, committed to equal opportunities regardless of gender identity, sexual orientation, race, ancestry, age, marital status, disability, parental status, religion or medical history. If you require reasonable adjustments during the recruitment process or within the workplace, please let us know when you speak to our Talent Acquisition team or contact at the earliest opportunity.

Description Our Data Engineers enable public sector organisations to embrace a data-driven approach by providing data platforms and services that are high-quality, cost-efficient, and tailored to the clients' needs. They develop, operate, and maintain these services. They make sure they provide maximum value to data consumers, including analysts, scientists, and business stakeholders. Key Responsibilities At Made Tech we want to positively impact the future of the country by using technology to improve society, for everyone. We want to empower the public sector to deliver and continuously improve digital services that are user-centric, data-driven and freed from legacy technology. A key component of this is developing modern data systems and platforms that drive informed decision-making for our clients. As a Data Engineer, you'll play a hands on role as a contributor to client projects, focusing on both delivering engineering work as well as upskilling members of the client team. As a member of the data capability within Made Tech, you will also participate in our hiring process and continued development of the team, as well as representing us both internally to the organisation and publicly via presentations. You'll need to have a drive to deliver outcomes for users and have a desire to mentor teams. You will need to be comfortable sharing your knowledge and skills with others. Maybe you've written some blog posts about your discipline, or perhaps even delivered a talk or two that you'd like to share. Skills, Knowledge & Expertise We look for the following skills and experience. But if you don't have some of the skills and experience listed below, don't let that stop you from applying! Working directly with clients and users Strong hands on Python experience Designing and implementing efficient data transformation processes at scale, in either batch or streaming use cases Contributing to the cloud infrastructure underpinning data systems through a DevOps approach Basic understanding of the possible architectures involved in modern data system design (e.g. warehouses, lakes, and meshes) Agile practices such as Scrum, XP, and/or Kanban Showcasing and presentation skills Evidence of self-development - we value keen learners Empathy and people skills Working at a technology consultancy Pair programming Working with data scientists to productionise advanced data deliverables, such as machine learning models Infrastructure-as-Code (e.g. Terraform, Cloud Formation) Working knowledge of statistics Working with multidisciplinary digital and technology teams Working within the public sector At this point, we hope you're feeling excited about Made Tech and the job opportunity. Even if you don't feel that you meet every single requirement, we still encourage you to apply. Get in touch with our talent team if you'd like an informal chat about the role and your suitability before applying. We are hiring for this role directly, so will not respond to any CVs sent via external recruitment agencies. An increasing number of our customers are specifying a minimum of SC (security check) clearance in order to work on their projects. As a result, we're looking for all successful candidates for this role to have eligibility. Eligibility for SC requires 5 years' continuous UK residency and 5 year' employment history (or back to full time education). Please note that if at any point during the interview process it is apparent that you may not be eligible for SC, we won't be able to progress your application and we will contact you to let you know why. Support in applying If you need this job description in another format, or other support in applying, please email . We believe we can use tech to make public services better. We also believe this can happen best when our own team represents the society that actually uses the services we work on. We're collectively continuing to grow a culture that is happy, healthy, safe and inspiring for people of all backgrounds and experiences, so we encourage people from underrepresented groups to apply for roles with us. When you apply, we'll put you in touch with a talent partner who can help with any needs or adjustments we may need to make to help with your application. This includes alternative formats for documents, the time allotted for interviews and any other needs. We also welcome any feedback on how we can improve the experience for future candidates. Job Benefits We're committed to building a happy, inclusive and diverse workforce. You can get a sense of what it's like working here from our blog, where we talk about mental health, communities of practice and neurodiversity (as well as our client work and best practice). Like many organisations, we use Slack to foster a sense of community and connection. As well as special interest groups such as music, food and pets, we also have 10+ Slack channels dedicated to specific communities, allies, and identities as well as dedicated learning spaces called communities of practice (COPs). If you'd like to speak to someone from one of these groups about their experience as an employee, please do let a member of the Made Tech talent team know. Benefits We are always listening to our growing teams and evolving the benefits available to our people. As we scale, as do our benefits and we are scaling quickly. We've recently introduced a flexible benefit platform which includes a Smart Tech scheme, Cycle to work scheme, and an individual benefits allowance which you can invest in a Health care cash plan or Pension plan. We're also big on connection and have an optional social and wellbeing calendar of events for all employees to join should they choose to. 30 days Holiday we offer 30 days of paid annual leave Flexible Parental Leave we offer flexible parental leave options Remote Working we offer part time remote working for all our staff Paid counselling we offer paid counselling as well as financial and legal advice. About Made Tech Made Tech is on a mission to use technology to improve society - for everyone. We help organisations transform, deliver and manage world class digital products and services. Today, you can see our services (and people!) in action, such as the design and build of the Homes for Ukraine service, delivered in 2 weeks. We're helping local authorities make it easier and quicker for people to log housing repairs online. By digitalising access to NHS services we're making it more accessible, such as children needing mental health support. All this great experience is enabling us to support new areas, like energy. We're helping to drive better environmental outcomes by improving network performance through real time asset monitoring, which means less wasted energy. We were recently named as a finalist in the Raising the Bar for Workplace Transparency Award in the Shift People Awards. This is a recognition of our many great initiatives, such as our open-access employee handbook that we launched 5 years ago.

We're looking for a Senior GCP Cloud & DevOps Engineer to join our team in Bradford on a 12-month FTC. This is a hybrid role, with two days in the office and three days working remotely each week. Responsibilities Own and evolve the end-to-end GCP platform, covering infrastructure design, deployment, lifecycle management, and ongoing optimisation. Design, build, and maintain scalable, secure cloud infrastructure to support AI and data products. Implement and manage CI/CD pipelines to enable fast, reliable, and consistent product delivery. Drive platform reliability and performance through strong observability, monitoring, and AIOps practices. Ensure platform security, governance, and compliance, working closely with central Security and adhering to best practices. Optimise cloud spend and resource usage, balancing cost efficiency with performance and scalability. Collaborate closely with engineering, data, and product teams to enable rapid development and innovation. Create and maintain clear, high-quality documentation across platforms, services, and data products. Define, track, and improve key platform KPIs such as availability, deployment frequency, MTTR, and security posture. Support incident management, troubleshooting, and continuous improvement of platform operations. Essential Qualifications Proven experience working in high-performing Platform / DevOps teams. Strong hands on experience with Google Cloud Platform (GCP). Solid background in DevOps or Platform Engineering, building scalable, automated infrastructure. Expertise in CI/CD design and implementation (e.g., GitHub Actions, Terraform, Cloud Build). Experience supporting AI driven applications, microservices, and API led architectures. Strong troubleshooting and debugging skills using logs, tracing, and observability tools. Good understanding of cloud networking, security principles, IAM, and VPC design. Ability to operate effectively in fast paced, product led environments with multiple stakeholders. Desirable Qualifications GCP Professional level certification. Experience working with offshore teams or third party delivery partners. Exposure to AIOps practices and advanced observability tooling (e.g., OpenTelemetry). Experience implementing cloud governance and security frameworks at scale. Strong awareness of cost optimisation strategies within GCP environments. Benefits Competitive salary + bonus. 25 days annual leave, with the option to purchase 5 more. Enjoy your birthday off, plus an additional 3 days of annual leave after 5 years of service. Wellbeing and mental health benefits such as the Calm app, personal medical, critical illness cover and dental insurance. Matched pension contribution up to 10%. Car benefit scheme. Online learning platform for continuous career development. Equal Opportunity Statement Liberty Global is an equal opportunity employer, committed to an inclusive environment and accommodating all candidates.

Senior Cloud Engineer (AWS) - (Multiple) Location: Central London - Hybrid - circa 3 days onsite in Central London Salary: £70,000 - £95,000 Defence/SC Clearance Requirements Due to working with a number of government bodies, SC clearance is required for our customer facing teams. You do not need active SC clearance as we will undertake checks upon you joining, but you must be eligible to pass SC clearance. In future, DV clearance may be required, so the ability/willingness to pass DV clearance is advantageous but not essential. Due to the nature of this project we are only able to accept UK based applicants for this role About us We are experts in AWS landing zones, cloud risk mitigation and cloud operating models; thought leaders working with public and private sector enterprise organisations to help them unlock the true value of cloud. Why you should join us We care about our people and truly believe that high-performing teams are created through openness, collaboration and trust. We ensure that there are opportunities both inside and outside of work to collaborate, share ideas and build connections. We recognise that everyone brings their own unique skills and experiences, so we regularly collaborate across all teams and functions, to build a truly inclusive culture, including team socials, quarterly company days, and monthly "town halls". Recognising that everyone brings their own unique skills and experiences, our learning and development opportunities are bespoke to each individual; helping you to advance through our transparent career development pathways and achieve your career goals. What we're looking for We are looking for Senior AWS Engineers with AWS Landing Zone experience who have built, tested packaged, deployed and operated enterprise-scale AWS platforms, along with understanding the challenges of managing a multi-tenant platform and how SRE principles can be applied. We are also looking for experience of building AWS Landing Zones with a strong understanding of the benefits to our customers of using a centralised platform, along with understanding some of the common challenges. What you'll be doing Working with a wide range of AWS services to build best-in-class solutions for our customers Building AWS resources using Terraform Building solutions to mitigate some of the key security risks that are present when operating in the cloud Operating cloud platforms at scale within highly regulated environments Working with continuous integration / continuous delivery pipelines Benefits Discretionary bonus Discretionary security clearance bonus for those holding certain clearance Discretionary utilisation bonus Periodic offer of share options schemes 25 days' annual leave 5 additional days per year towards training, certifications, or charity work Option to buy additional annual leave up to 5 days per year Public holidays opt-out scheme, the option to work on public holidays creating the flexibility to enjoy your time off when it suits you Certifications and training expensed Life Assurance Long Term Disability cover Employee Assist Programme for employee advice and support (including legal and counselling helpline) Health, Mental Health, Wellbeing, Financial and Legal support 24/7 GP access Pension auto-enrolment and contribution Employee referral scheme Client referral scheme Cycle to work scheme Travel expenses policy Interview Process Screening call with our Talent Acquisition team 1st Interview - 30 minute remote interview with our hiring team 2nd Interview - 60 minute remote technical interview with members of our engineering team 3rd Interview - 60 minute in person interview with members of our Senior Leadership Team Cloudscaler are proud to be an equal opportunity employer, committed to equal opportunities regardless of gender identity, sexual orientation, race, ancestry, age, marital status, disability, parental status, religion or medical history. If you require reasonable adjustments during the recruitment process or within the workplace, please let us know when you speak to our Talent Acquisition team or contact at the earliest opportunity.

Applicants must be authorized to work for any employer in the country in which the role is being hired. We are unable to sponsor or take over sponsorship of an employment visa at this time. Mark43 is a public safety technology company trusted by over 200 police forces worldwide. We build cloud-native software on AWS that police forces and emergency services rely on in their most critical moments, from managing custody records to dispatching officers in the field. Our UK team of 25 is based in Central Manchester, helping British police forces replace outdated, fragmented systems with modern, resilient software. We're part of a 400-person global company, but the UK team operates with startup energy: small enough that your work is visible, big enough that you're backed by serious investment. We're hiring Senior Software Engineers who want to build systems that genuinely matter. What You'll Do You'll work across the full stack, building the software that UK police custody suites depend on every day. Our team owns features end-to-end, from database migration to UI and our stack includes: Frontend: React, TypeScript Backend: Java, Spring Boot Data: MySQL, GraphQL Infrastructure: AWS, Kubernetes, Argo CD, Terraform Observability: Datadog We're also genuinely investing in how AI changes the way we build software. We don't just use Copilot for autocomplete. We're building agentic workflows into our development process, using tools like Claude Code to automate routine work, accelerate code review, and let engineers focus on the problems that actually need human judgement. If you're excited about shaping how a team works with AI, not just using it, this is the place. If you were on the team last week, you might have: Designed and shipped a new workflow for custody officers processing detainees, from GraphQL schema through to React components Investigated a production issue using Datadog traces and logs, then pushed a fix the same day Paired with a teammate to untangle a tricky state management problem in a booking form Built an agentic workflow that reviews PRs, learns from human feedback, and posts weekly engineering highlights to Slack, all automatically Managed a cross-team feature end-to-end - designed the architecture, broke work into parallel workstreams, and coordinated junior engineers to deliver on time Reviewed a pull request, spotted a change that would unintentionally affect other parts of the app, and directed a safer approach in the comments Prototyped a new idea at one of the hackathons we run twice a year, a chance to experiment with new tech, explore wild ideas, and ship something fun with no constraints What You'll Need You write clean, maintainable code and care about the impact of your work. We're an AI-first team. AI tools are part of how we work every day - writing code, reviewing pull requests, investigating issues, and automating routine work. We expect you to be comfortable working alongside AI and keen to push what's possible with it. Professional software engineering experience, including ownership of complex systems and delivery of large-scale technical initiatives Experience mentoring and supporting other engineers Strong technical judgement and the ability to make architectural decisions Experience leading projects across multiple teams or domains, influencing technical direction beyond your immediate area A strategic mindset, with the ability to balance immediate delivery with long-term technical health Experience with our stack: Java, JavaScript, TypeScript + React, and MySQL Experience with AI-assisted development tools like Claude Code and how they can improve your workflow A strong sense of ownership and accountability for both technical outcomes and team success Confidence operating in ambiguous environments and helping teams navigate technical trade-offs A collaborative mindset and strong communication skills What We Offer 28 days holiday plus UK bank holidays Private medical, dental, and vision insurance through AXA Health and BUPA, fully paid for you and your dependents 18 weeks paid parental leave (gender-neutral, for both primary and secondary caregivers) plus a ramp-back programme Income protection (75% of salary) and death in service cover (4x salary), fully paid Pension through Nest with 3% employer contribution Gym reimbursement for you and your partner Equipment allowance to set up your home office AI tooling including Claude Code Enterprise, Microsoft Copilot, and ChatGPT Enterprise licences provided Spring Health membership with therapy sessions and mental wellness tools, fully covered Company performance-based bonus Paid sabbatical of one month at your five-year anniversary Biannual hackathons, learning budget, and a team that genuinely invests in your growth What We Value Humility. You know the best ideas win, no matter where they come from. You ask questions before making assumptions and you're as happy being wrong as being right, because either way, the team gets to a better answer. Inclusivity. You respect expertise in all its forms and actively seek out perspectives different from your own. You make space for others and assume good intent. Excellence. You care about quality in your code, your reviews, and how you communicate. You're not satisfied with "it works" when it could be better, and you encourage the same standard in those around you. Diligence. You take ownership, mind the details, and understand that the software we build is used in moments that genuinely matter. You don't cut corners when people are depending on the outcome. Location This role is based at our Central Manchester office and follows a hybrid work model. Applicants must be authorized to work in the UK. We are unable to sponsor or take over sponsorship of an employment visa at this time. This role may require you to complete Non-Police Personnel Vetting (NPPV) security clearance up to level 3. We feel passionately about equal pay for equal work, and transparency in compensation is one vehicle to achieve that. Total compensation for this role is market competitive, including a target base annual salary range of £90k-125k, plus bonus opportunity, company stock options, and a full benefits package. Please note that the higher end of this range will be reserved for candidates with appropriate experience who reside in high cost of labour markets. Mark43 is approved to hire in Canada, the UK, and 36 U.S. states, including Alabama, Arizona, Arkansas, California (excluding San Francisco), Colorado, Connecticut, Washington, Florida, Georgia, Iowa, Idaho, Illinois, Indiana, Kansas, Massachusetts, Maryland, Maine, Michigan, Minnesota, Missouri, North Carolina, Nebraska, New Hampshire, New Jersey, New Mexico, New York, Ohio, Oklahoma, Oregon, Pennsylvania, South Carolina, Tennessee, Texas, Utah, Virginia, Vermont, Washington, Wisconsin, and West Virginia. Before applying to a remote role, please ensure you are able to perform the position in one of the states listed above. State locations and specifics are subject to change as our hiring requirements shift. Mark43 is committed to the full inclusion of all qualified individuals. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed, please email requesting the accommodation.

Location & Work Model London, Hybrid (4 days in office, 1 day remote) Role Overview At Ebury, we are looking for an experienced Platform Engineer to join our dynamic team in London. In this role, you will collaborate closely with multiple development teams to accelerate value delivery, scale our systems, and build the foundation that empowers our engineering organization to thrive. Core Tech Stack Terraform: Deep expertise in using Terraform to manage complex Infrastructure as Code (IaC). AWS: Strong hands on experience designing and managing AWS environments. CI/CD Pipelines: Proven experience building, maintaining, and optimizing pipelines using GitHub Actions and Jenkins. Linux: Solid systems administration and troubleshooting skills in Linux environments. Python: Strong scripting and programming skills in Python to drive automation, tooling, and system integration. Key Responsibilities Accelerate Delivery: Partner with development teams to enhance deployment speed, system scalability, and overall application reliability. Maintain Platform Health: Ensure high availability, performance, and resilience across our entire production platform. Design & Implement: Contribute to the design, architecture, and rollout of new services and infrastructure systems. Observability & Monitoring: Develop and maintain robust application monitoring, logging, and alerting systems to gain deep insights into system health. Automate Everything: Design and implement automation tools to eliminate manual toil, boost operational efficiency, and minimize downtime. Incident Response: Participate in an on call rotation to quickly troubleshoot and resolve critical platform incidents. Stay Ahead: Keep up to date with emerging tools, methodologies, and best practices in the Cloud Native and Platform Engineering space. About You / Qualifications Scale Experience: Proven experience building and operating large scale distributed systems. Containerization: Strong experience running web scale deployments of containerized systems using Kubernetes and/or Amazon container services (ECS/EKS). Problem Solver: A proactive approach to identifying root causes, debugging complex systems, and collaborating with code owners to prevent recurrence. Strong Communicator: Excellent written and verbal communication skills in English, with the ability to articulate complex technical concepts to diverse audiences. Growth Mindset: An eager learner who is passionate about building elegant, developer friendly interfaces and infrastructure. Nice to Have: Experience working within the FinTech industry. Bachelor's degree in Computer Science, Engineering, or a related field. Familiarity with security and compliance standards relevant to financial services (e.g., GDPR, DORA, SOC 2). Proficiency in Spanish or Portuguese is a plus.

We're looking for a Staff Analytics Platform Engineer. In this role you will shape the architecture, reliability, and future direction of the analytics platform that powers trusted, high quality insight across Our Future Health. As a Staff Analytics Platform Engineer, you'll provide technical leadership across the entire analytics platform, from ingestion and transformation tooling to Snowflake architecture, semantic modelling, and secure analytics environments. You'll define the patterns, standards, and infrastructure that enable analysts, data scientists, and product teams to build reliable, scalable analytics with confidence. This is a role where your decisions shape the platform for years to come, and your impact multiplies across every team that uses data. At Our Future Health, our mission is to transform the prevention,detectionand treatment of conditions such as dementia, cancer, diabetes, heart disease and stroke. We're looking for people to join us on our journey. If you're looking for a new challenge where you can contribute to helping future generations live in good health for longer, then we're keen to speak with you. What you'll be doing Co owning the analytics platform architecture, designing end to end solutions across Snowflake, ingestion pipelines, dbt infrastructure, semantic layers, and secure analytics environments. Defining and driving the long term technical vision for the analytics platform, ensuring it is scalable, cost efficient, secure, and easy for data consumers to use. Establishing architectural principles and patterns that balance reliability, governance, usability, and performance across the entire data ecosystem. Leading high impact platform initiatives that improve performance, developer experience, cost efficiency, or operational maturity. Owning and evolving core platform components, including CI/CD, testing strategies, environment management, observability, and infrastructure as code. Acting as the technical escalation point for complex, cross cutting platform issues and guiding teams toward robust, scalable solutions. Driving Snowflake performance and cost optimisation, informed by real workloads and modelling patterns. Implementing and maturing data SLAs/SLOs, data observability, lineage, and quality frameworks to ensure trusted analytics at scale. Collaborating with data product and engineering teams to enable safe, scalable ingestion and well defined data contracts. Influencing how teams design and interact with data systems, raising engineering standards across the organisation. Providing technical mentorship to analytics engineers and platform engineers, helping elevate capability across the data function. What you won't be doing Working in a siloed environment with no freedom to make decisions. Working in a place where you can't see the impact your expertise makes. To succeed in this role you will be able to demonstrate some of the following skills and experience Deep experience building and running modern data platforms in complex, multi team environments. Excellent Python engineering skills and the ability to design scalable, reliable platform components. Expertise in analytics data modelling and how modelling choices affect performance, cost, and usability. Hands on experience with ingestion/orchestration tooling (e.g. Airbyte) and scaling pipelines across many sources. Proven technical leadership across infrastructure, ingestion, transformation, and analytics enablement. Strong platform architecture experience: Snowflake, dbt execution, semantic layers, secure analytics environments. Ability to diagnose complex, cross cutting issues across data, infrastructure, and analytical workloads. A track record of improving developer experience and reducing friction in data development. Clear, influential communication skills with the ability to align teams around platform strategy. Experience mentoring engineers and raising capability across data and platform teams. Hands on dbt and analytics CI/CD experience. Experience with Kubernetes and cloud native environments. Familiarity with semantic layers and BI tooling (e.g. Omni). Experience supporting secure notebook environments (Coder, Jupyter, RStudio). Comfort working in regulated environments with strong governance and audit needs. Knowledge of Terraform, data governance models, and data observability tooling. Benefits Salary from £95,000 per annum. Generous Pension Scheme - We invest in your future with employer contributions of up to 12%. 30 Days Holiday + Bank Holidays - Enjoy a generous holiday allowance with the flexibility to take bank holidays when it suits you. Enhanced Parental Leave - Supporting you during life's biggest moments. Cycle to Work Scheme - Save 25-39% on a new bike and accessories through salary sacrifice. Home & Tech Savings - Get up to 8% off on IKEA and Currys products, spreading the cost over 12 months through salary sacrifice £1,000 Employee Referral Bonus - Know someone amazing? Get rewarded for bringing them on board! Wellbeing Support - Access to Mental Health First Aiders, plus 24/7 online GP services and an Employee Assistance Programme for you and your family. A Great Place to Work - We have a lovely Central London office in Holborn, and offer flexible and remote working arrangements. Join us - let'sprevent disease together. At Our Future Health, we recognise the importance of having a diverse workforce and ensuring that all candidates, regardless of their background, have equitable access to our application process. We proactively encourage applicants who identify as having a disability, neurodiversity, or long-term health conditions to let us know if they require any reasonable adjustments as part of their application process. If you do require any reasonable adjustments, please email us at

We are looking for a Senior DevOps Engineer to help build and maintain the infrastructure, tooling and processes that enable our engineering teams to deliver high quality software quickly and reliably for our clients and internal processes. You will work closely with our Software Engineers, as well as client tech teams, developing the full lifecycle of environments and CI/CD pipelines across multiple clouds (Azure, AWS and occasionally GCP) and our on premise data centre. You will be instrumental in improving reliability and observability for the ADSP delivery team and our clients. If this sounds like you, we can't wait to hear from you! KEY RESPONSIBILITIES Design, build and maintain infrastructure on Azure and AWS (and occasionally GCP) using infrastructure as code. Standardise and optimise Docker images for our Python and TypeScript services. Manage container runtimes and orchestration platforms (e.g. Docker Compose, Kubernetes, ECS, AKS, etc.). Implement image scanning, registry management and deployment strategies (blue/green, canary, rolling). Design and maintain CI/CD pipelines to build, test and deploy applications across environments. Integrate automated testing, security checks and quality gates into the pipelines. Automate repetitive operational tasks using scripts and tooling (Python, Bash, etc.). Collaborate with developers to define branching strategies, release processes and rollback procedures. Implement and maintain monitoring, logging and alerting for applications and infrastructure. Participate in incident response, root cause analysis and post incident reviews. Work with security and engineering teams to implement best practices for secrets management, access control and hardening of Linux, cloud resources and container images. Contribute to backup, disaster recovery and business continuity planning. Improve the local and remote development experience inside Linux VMs (tooling, environment consistency, documentation). Provide guidance and support to engineering teams on the use of Docker, cloud services and deployment tools effectively. Champion DevOps culture, promoting automation, observability and continuous improvement. Communicate with clients through written reports, calls and presentations to explain your work and recommendations. Work closely with client tech teams to understand their requirements, integrate with their existing tooling and processes, and design appropriate DevOps solutions. Support the handover of infrastructure, pipelines and operational runbooks to client teams, ensuring they can operate and evolve the solution. Represent the DevOps perspective in client workshops, discovery sessions and architecture/design reviews. KEY REQUIREMENTS Strong hands on experience with Linux (preferably in a server or VM context). Strong practical experience with Docker (creating, optimising and running containers in production). Experience with at least one major cloud provider (Azure or AWS) in a production environment; familiarity with the other and/or GCP is a plus. Experience designing and maintaining CI/CD pipelines (e.g. Azure DevOps, GitLab CI, GitHub Actions, CircleCI, Jenkins, etc.). Proficiency with at least one scripting or programming language (e.g. Python, Bash). Experience with infrastructure as code (e.g. Terraform, ARM/Bicep, CloudFormation, Pulumi). Understanding of networking fundamentals (DNS, routing, load balancing, VPNs, firewalls). Familiarity with monitoring and logging tools (e.g. Prometheus, Grafana, ELK/EFK stack, CloudWatch, Azure Monitor, Datadog, etc.). Good understanding of security best practices in cloud and Linux environments (IAM, least privilege, secrets management, patching). Experience presenting technical concepts to stakeholders. Ability to work independently and as part of a team. OUR BENEFITS At ADSP, we believe in rewarding talent and supporting your growth. Here's what you can look forward to as part of our team: Competitive compensation package including annual performance bonus 26 days of annual leave, 8 bank holidays plus your birthday off BUPA Private Healthcare Enhanced family leave £1,000 annual development budget Flexible hybrid working (2 days a week in our modern Shoreditch office) Remote working from anywhere in the world for up to 4 weeks each year Latest tech that suits your needs: high spec Windows machine or a MacBook Free snacks and drinks, and regular team socials Supportive entrepreneurial environment offering a ton of autonomy and opportunity to work on a variety of projects, technologies and industries Join us and realise your full potential in a collaborative, forward thinking team, where your work will help shape the future. OUR COMMITTMENT TO DEI At ADSP, we are committed to fostering an inclusive hiring process and believe in creating an environment where all candidates have equal opportunities to succeed. If you require any reasonable adjustments during the application or interview process, please do not hesitate to reach out to us at

Elliptic has helped trace and disrupt over $21.8 billion in illicit crypto laundered across blockchains, from sanctioned nation states to organized crime networks hiding funds through token swaps and unregulated exchanges. It's how compliance and investigations teams fight back, tracking and screening transactions with 99% market coverage. The infrastructure behind all of this needs to be as resilient and sharp as the intelligence it delivers. We're looking for a Lead DevOps Engineer to own and evolve our DevOps practices. This is a role for someone who combines deep technical ability with a genuine passion for growing the team. You'll lead a team of DevOps engineers while staying close to the technical work, setting direction on infrastructure, automation, and reliability. The impact you will have: As a Lead DevOps Engineer at Elliptic, you will have a deep impact across the company by championing DevOps, security, and reliability principles. You'll help build a culture of automation, efficiency, and continuous improvement, empowering teams to deliver secure, high-quality software with confidence. You'll work alongside experienced and passionate engineers who enjoy solving tough challenges and learning from one another. This is a hands on team Lead role where you will balance technical expertise with team leadership. What you will do: Own the DevOps and Platform roadmap, defining the automation, scaling, and multi tenant Kubernetes based Internal Developer Platform (IDP). Lead by doing - engineer, review, and enhance Kubernetes and CNCF aligned infrastructure, setting technical standards. Architect multi cluster, multi region environments using Istio/Linkerd, Cluster API, and Kyverno. Build progressive delivery frameworks with Flux and Flagger for GitOps driven, canary, and automated releases. Implement modern provisioning with controllers like Crossplane and ACK for Kubernetes native cloud integration. Define and enforce Zero Trust architecture with Vault, Boundary, service identity, and mTLS secured meshes. Engineer policy driven automation and compliance using OPA, Kyverno, and secure supply chain configurations. Establish IaC and GitOps standards, adding automated testing to every infrastructure change. Prototype agentic infrastructure components, including deployment and observability platforms in service meshes. Design AI Gateways and Registries for traffic and event routing between microservices and autonomous agents via CNCF Gateway APIs. Champion DevSecOps maturity by embedding SAST/DAST, chaos engineering, and error budget monitoring. Collaborate with Security, Data, and AI teams to shape DevOps and AI platform architectures with regulatory compliance. Stay ahead of CNCF and AI ecosystem innovations, from eBPF observability to agent aware orchestration. What We're Looking For We value diverse backgrounds and paths to expertise. If you bring solid experience in several of the areas below, we encourage you to apply even if you don't meet every detail. Core Expertise Experience leading or mentoring engineering teams with the ability to set direction and contribute hands on. Strong Kubernetes knowledge, including cluster lifecycle management, API extensions, Operators, Helm, and the broader CNCF ecosystem (Cilium, ExternalDNS, Kyverno, Gatekeeper). Designing and operating multi cluster, multi region Kubernetes platforms with service meshes such as Istio, Consul, or Linkerd and policy based workload placement. Writing Infrastructure as Code with Terraform on AWS or GCP using modular design, GitOps integration, and automated testing (Terratest, InSpec). Implementing GitOps pipelines with ArgoCD or FluxCD for progressive delivery, drift correction, and multi environment releases. Building containerized, serverless, or event driven systems with strong observability using DataDog, Splunk, or OpenTelemetry. Strengthening platform security through Vault based secret management, least privilege access, and compliance automation. Designing CI/CD workflows that include SAST, DAST, policy enforcement, and performance telemetry. Improving reliability and resilience through SLOs, error budgets, and chaos engineering. You'll Thrive Here If You Are passionate about building secure, scalable, and reliable systems and helping others do the same. Have a strong customer and product mindset. Take ownership and make thoughtful, data informed decisions. Enjoy building high performing, inclusive, and autonomous teams. Align technical leadership with business outcomes. Collaborate openly and continuously seek to learn and grow. Nice to Have The following are genuinely bonus areas. Great if you have them, but not required. Leading platform modernisation or reliability initiatives in scale up or regulated environments. Experience with Operator development, CRD automation, eBPF, or Cilium for observability. Expertise in policy as code using OPA or Kyverno within secure supply chain or CSPM frameworks. Exposure to AI driven internal developer platforms or predictive observability using AI or LLMs. Experience designing agentic or autonomous infrastructures with observability for AI agents. Familiarity with MCP and A2A orchestration patterns in Kubernetes service mesh environments. Understanding of Agent Gateways and Registries connecting microservices and AI agents. Background in secure containers, sandboxing, or confidential computing for regulated workloads. Experience with data intensive systems such as Spark, Databricks, or Data Mesh. Programming experience in Go, Python, or TypeScript. Contributions to open source or CNCF community projects. Job Benefits Hybrid working and the option to work from almost anywhere for up to 90 days per year £500 Remote working budget to set up your home office space $1,000 Learning & Development budget to use on anything (agreed with your manager) that contributes to your growth and development Holidays: 25 days of annual leave + bank holidays An extra day for your birthday Enhanced parental leave: we provide eligible employees, regardless of gender or whether they become a parent by birth or adoption, 16 weeks fully paid leave and leave. Private Health Insurance - we use Vitality! Full access to Spill Mental Health Support Life Assurance: we hope you will never need this - but our cover is for 4 times your salary to your beneficiaries Cycle to Work Scheme We know Diversity and Inclusion is much deeper than just hiring, but it's important for us to mention it here. We welcome and embrace individuals of all backgrounds and identities at Elliptic, and this is an ongoing priority for us. We know incredible people don't all think in the same way. We want to be challenged every day. We believe our diverse team of individuals underpins this by bringing creative thinking and innovation to Elliptic every day. We are committed to creating a diverse, inclusive and equitable workplace, so we welcome applications from everyone, even if you may not think you fit all of the requirements of our roles. We foster an environment of psychological safety, where everyone feels comfortable to bring their whole self to work.

Overview AVEVA is creating software trusted by over 90% of leading industrial companies. This full time Software Engineer role is located in Cambridge, United Kingdom (Hybrid). The position is part of our Cloud UE (Unified Engineering) team and involves designing, building, and operating services and streaming environments that deliver AVEVA's Unified Engineering products to customers as a SaaS platform on Amazon Web Services. This is an early career role for someone eager to learn, proactive, and excited to work across a broad and modern technology stack. The role will involve contributing to CI/CD, infrastructure automation, security and compliance, and service reliability. Key Responsibilities Build scalable AWS SaaS services: design, develop, and support highly available platform components. Develop integrations and serverless capabilities: deliver and maintain APIs with API Gateway, Lambda, event driven workflows, and identity/SCIM integrations with AVEVA CONNECT. Operate and improve cloud environments: support desktop streaming (Amazon WorkSpaces Applications) and Windows centric infrastructure (EC2, FSx, Active Directory, DynamoDB) with strong observability and cost/performance focus. Deliver securely with automation and teamwork: write clean, tested, documented, deployable code; contribute to CI/CD and infrastructure automation (Azure Pipelines, CloudFormation, Step Functions); collaborate in agile planning, troubleshoot issues, communicate risks, and continuously learn. Essential Requirements Proactive, self starting, and ownership driven - takes initiative and cares about quality and production behaviour. Curious and growth mindset - eager to learn new technologies, approaches, and continuously improve. Able to work independently in a distributed team - manages time well, operates autonomously, and stays accountable. Resilient, collaborative communicator - positive with challenges, asks questions, shares knowledge, and communicates clearly in writing and verbally. Desired Skills and Competencies AWS & cloud foundations: VPC, EC2, S3, IAM/security groups; awareness of serverless (API Gateway, Lambda, DynamoDB), containers (Docker, ECS), and monitoring (CloudWatch, Datadog). Software engineering & languages: practical development experience in C# and JavaScript/TypeScript (Angular/Node.js), comfortable across multiple languages, with solid Git based workflows. DevOps & delivery: understanding of CI/CD principles and tools (e.g., Azure Pipelines) and infrastructure automation/IaC (CloudFormation, Terraform or similar). Windows & security fundamentals: Windows administration (AD, Group Policy, PowerShell), enterprise deployment/packaging awareness, and security best practices (SSO/SCIM, least privilege, encryption, network segmentation). Hybrid Working We work in a hybrid model. Most roles are based at a local AVEVA office, with an expectation of being on site 50% of working hours to support collaboration and connection. Some positions may be fully office based or remote depending on the nature of the work. Benefits Flexible benefits fund, emergency leave days, adoption leave, 28 days annual leave (plus bank holidays), pension, life cover, private medical insurance, parental leave, education assistance program. Benefits vary by country but are similarly comprehensive. Find out more: Legal and Compliance AVEVA requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, and credit check. Certain positions dealing with sensitive and/or third party personal data may involve additional background check criteria. Equal Opportunity Employer AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We provide reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter.

Overview Lead Cloud Platform Engineer role at i.AI (Incubator for AI) to help design, build and operate the cloud platform that powers AI product delivery. This is a hands-on technical leadership position focused on modern cloud infrastructure, security, and scalable platform capabilities to enable production AI systems in government contexts. The role offers high autonomy within a flat engineering structure and opportunities to shape platform direction with strong engineering judgement. Responsibilities End to end platform engineering: own the technical delivery of platform initiatives from concept through to production, making architectural decisions and building secure, scalable cloud components that teams can depend on. Platform as a product: design capabilities that improve the developer experience, creating reusable patterns for local development, pipelines, environments, observability, and operational ergonomics to accelerate shipping with less friction. AI workload enablement: support production AI systems and agentic workloads; build and maintain platform capabilities for model access, routing, tracing, evaluation, reliability, and cost control. Intelligent automation and security: treat security as a first-class concern with automated controls for software supply chain security, secrets management and policy as code; use GenAI to reduce operational toil, introduce intelligent guardrails, and streamline developer workflows. Technical leadership: shape platform direction through engineering judgement and hands-on delivery, mentor engineers, promote better patterns, and balance needs of individual teams with platform-wide coherence. What you will thrive on Strong hands-on experience building and operating production cloud platforms, with AWS preferred. Deep understanding of platform architecture, distributed systems, networking, and reliability concepts (SLOs, tracing, alerting). Interest in applying GenAI/LLM tooling to reduce operational work and improve resilience. Experience embedding security into delivery workflows, including software supply chain security, IAM, threat modelling, and policy as code. Experience supporting AI/ML systems in production (model serving, MLOps, agentic orchestration, or prompt/inference cost trade-offs). Proficiency in software development and infrastructure automation; track record of reusable patterns and engineering standards. Strong ownership, judgement, and ability to operate in a flat, high-agency team; product mindset with emphasis on developer experience. Ability to coach others and raise technical standards. What we offer Career-defining projects with outsized impact and opportunities to apply technology to transform the public sector. Access to frontier models, compute resources, and a supportive, mission-driven team. Growth and empowerment: learning and development 5 days off, annual stipends, conference funding, and opportunities to own important products early. Life and family benefits: hybrid working in London, Manchester, or Bristol with occasional remote work abroad, generous leave, parental leave, and pension contributions. Our stack Cloud infrastructure: AWS (ECS, Lambda, CloudFront, RDS, S3) with multi-cloud patterns across Azure and GCP. Containerisation and delivery: Docker, container orchestration, GitHub Actions, and deployment patterns (rolling, canary, blue-green). Development: Terraform, Python with FastAPI, JavaScript/TypeScript with Next.js, Astro, Node.js. AI platform layer: tooling for model routing, tracing, evaluation (LiteLLM, Langfuse) with LangGraph, DSPy, Inspect. AI harness: OpenCode and Claude Code; access to frontier models from OpenAI, Anthropic, Google. Observability: AWS CloudWatch, Grafana, Sentry, X Ray. Security: SAST, SCA, SBOMs, policy as code, CSPM, DAST, and automated IAM/secrets management. Selection Process UK government clearance process with sponsorship if needed. Stages include a short initial conversation, technical take-home test, and multiple interviews with the team and senior representation. Diversity and Inclusion information and privacy notices are provided as part of the process. Salary: £69,675 - £90,756 GBP (GDAD role, with position within the grade range and non-pensionable allowances as applicable).

Overview Lead Cloud Platform Engineer role at i.AI (Incubator for AI) to help design, build and operate the cloud platform that powers AI product delivery. This is a hands-on technical leadership position focused on modern cloud infrastructure, security, and scalable platform capabilities to enable production AI systems in government contexts. The role offers high autonomy within a flat engineering structure and opportunities to shape platform direction with strong engineering judgement. Responsibilities End to end platform engineering: own the technical delivery of platform initiatives from concept through to production, making architectural decisions and building secure, scalable cloud components that teams can depend on. Platform as a product: design capabilities that improve the developer experience, creating reusable patterns for local development, pipelines, environments, observability, and operational ergonomics to accelerate shipping with less friction. AI workload enablement: support production AI systems and agentic workloads; build and maintain platform capabilities for model access, routing, tracing, evaluation, reliability, and cost control. Intelligent automation and security: treat security as a first-class concern with automated controls for software supply chain security, secrets management and policy as code; use GenAI to reduce operational toil, introduce intelligent guardrails, and streamline developer workflows. Technical leadership: shape platform direction through engineering judgement and hands-on delivery, mentor engineers, promote better patterns, and balance needs of individual teams with platform-wide coherence. What you will thrive on Strong hands-on experience building and operating production cloud platforms, with AWS preferred. Deep understanding of platform architecture, distributed systems, networking, and reliability concepts (SLOs, tracing, alerting). Interest in applying GenAI/LLM tooling to reduce operational work and improve resilience. Experience embedding security into delivery workflows, including software supply chain security, IAM, threat modelling, and policy as code. Experience supporting AI/ML systems in production (model serving, MLOps, agentic orchestration, or prompt/inference cost trade-offs). Proficiency in software development and infrastructure automation; track record of reusable patterns and engineering standards. Strong ownership, judgement, and ability to operate in a flat, high-agency team; product mindset with emphasis on developer experience. Ability to coach others and raise technical standards. What we offer Career-defining projects with outsized impact and opportunities to apply technology to transform the public sector. Access to frontier models, compute resources, and a supportive, mission-driven team. Growth and empowerment: learning and development 5 days off, annual stipends, conference funding, and opportunities to own important products early. Life and family benefits: hybrid working in London, Manchester, or Bristol with occasional remote work abroad, generous leave, parental leave, and pension contributions. Our stack Cloud infrastructure: AWS (ECS, Lambda, CloudFront, RDS, S3) with multi-cloud patterns across Azure and GCP. Containerisation and delivery: Docker, container orchestration, GitHub Actions, and deployment patterns (rolling, canary, blue-green). Development: Terraform, Python with FastAPI, JavaScript/TypeScript with Next.js, Astro, Node.js. AI platform layer: tooling for model routing, tracing, evaluation (LiteLLM, Langfuse) with LangGraph, DSPy, Inspect. AI harness: OpenCode and Claude Code; access to frontier models from OpenAI, Anthropic, Google. Observability: AWS CloudWatch, Grafana, Sentry, X Ray. Security: SAST, SCA, SBOMs, policy as code, CSPM, DAST, and automated IAM/secrets management. Selection Process UK government clearance process with sponsorship if needed. Stages include a short initial conversation, technical take-home test, and multiple interviews with the team and senior representation. Diversity and Inclusion information and privacy notices are provided as part of the process. Salary: £69,675 - £90,756 GBP (GDAD role, with position within the grade range and non-pensionable allowances as applicable).