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Private Cloud Principal Engineer - Cloud & Platform EngineeringLocation: Sheffield (3 days onsite per week mandatory)Duration: Initial 3-6 Month ContractRate: Up to £700 per dayEngagement: PAYE via Umbrella OnlyOverview \n An exciting opportunity has arisen for an experienced Principal Engineer to join a large-scale enterprise cloud engineering function. This role will provide technical leadership across critical platform engineering initiatives, focusing on private cloud technologies, Kubernetes, container platforms, event streaming and microservices enablement.Working closely with Product Owners, Architects, Infrastructure Engineers and Engineering teams, you will play a key role in shaping platform strategy, defining engineering standards and driving the delivery of secure, resilient and scalable cloud services. This is an excellent opportunity for a senior engineering professional who thrives on solving complex technical challenges and influencing technical direction across enterprise environments.Key Responsibilities \n\n • Provide technical leadership across cloud and platform engineering initiatives\n, • Define and drive engineering standards, best practices, reference architectures and platform guardrails\n, • Act as a senior technical authority, reviewing designs and ensuring solutions are secure, scalable, supportable and cost-effective\n, • Lead the design and evolution of platform capabilities spanning compute, storage, networking, orchestration and platform services\n, • Work closely with Product Owners and Architects to translate strategic objectives into practical engineering solutions\n, • Drive improvements in reliability, scalability, performance and operational excellence across multiple environments\n, • Champion automation-first approaches through Infrastructure as Code, CI/CD and platform engineering best practices\n, • Influence platform roadmaps and engineering strategy\n\n Kubernetes & Container Technologies \n\n • Lead architectural decisions relating to Kubernetes and container platforms\n, • Define standards for cluster architecture, networking, multi-tenancy, securityand workload onboarding\n, • Establish repeatable deployment patterns using GitOps, automation and configuration management\n, • Drive platform resilience,observability and operational maturity\n, • Support platform upgrades, governance and lifecycle management\n\n Event Streaming & Microservices \n\n • Provide leadership across Kafka and event-driven technology platforms\n, • Establish standards for event streaming, resiliency, monitoring and governance\n, • Support engineering teams in adopting event-driven architectures and microservices patterns\n, • Drive best practice around API design, domain boundaries and service resilience\n, • Improve developer productivity through self-service capabilities, reusable templates and engineering standards\n\n Engineering Leadership \n\n • Mentor engineering teams and promote engineering excellence\n, • Build strong relationships across Product, Architecture, Security and Engineering functions\n, • Drive alignment between technical strategy and delivery objectives\n, • Produce clear technical designs and influence decision-making forums\n, • Support operational excellence, security-by-design and risk management practices\n\n Essential Skills & Experience \n\n • Proven experience as a Principal Engineer, Lead Engineer, Senior Staff Engineer or equivalent\n, • Strong background in Cloud, Infrastructure or Platform Engineering\n, • Deep expertise in Kubernetes and container technologies\n, • Experience with Kafka and event streaming platforms\n, • Strong knowledge of private cloud technologies and enterprise virtualisation platforms such as VMware\n, • Excellent understanding of distributed systems, networking, scalability and performance engineering\n, • Experience with Infrastructure as Code and CI/CD toolsets\n, • Strong understanding of security,governance and operational readiness\n, • Experience operating within large-scale enterprise environments\n\n Desirable Skills \n\n • Service Mesh technologies\n, • API Gateway solutions\n, • Secrets Management platforms\n, • Policy as Code\n, • Observability and monitoring platforms\n, • SRE and operational excellence practices\n, • Platform-as-a-Product environments\n, • Developer self-service capabilities and service catalogues\n, • Multi-region architecture and resilience design\n\n What You'll Bring \n\n • Strong technical leadership and decision-making skills\n, • Excellent stakeholder engagement and communication abilities\n, • A passion for engineering excellence and platform modernisation\n, • The ability to influence technical direction across complex environments\n, • A pragmatic approach to solving large-scale engineering challenges\n\n What you need to do nowIf you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. \n Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

Apache Associates are currently working with an innovative SaaS organisation that is investing heavily in AI across its products. We’re looking for an AI Software Engineer with strong C# .NET experience to join the team and help turn emerging AI capabilities into genuine, production-ready product features. \n This is an ideal opportunity for a developer who combines strong software engineering fundamentals with hands-on LLM experience and enjoys working in an environment where things move quickly. \n You’ll be taking AI concepts from initial idea and experimentation through to fully integrated, evaluated features within established .NET products. \n The Role \n You’ll be responsible for building AI-powered capabilities across the product portfolio, working with LLMs, prompt engineering, context design and structured outputs, while ensuring everything you build is robust enough for production. \n You’ll be expected to prototype quickly, but equally importantly, understand where engineering discipline is essential. That means thinking about accuracy, reliability, latency, cost, monitoring, fallbacks and evaluation rather than simply getting an AI feature to work in a demo. \n You’ll work closely with existing engineering teams, Product Managers, Product Owners and subject matter experts to understand the business problem before deciding on the technical solution. \n Key Responsibilities \n\n • Design and build prompts, context strategies and LLM integrations for real-world product features.\n, • Develop primarily in C# .NET, integrating AI capabilities into established codebases.\n, • Build production-grade AI services with appropriate error handling, fallbacks, monitoring and logging.\n, • Prototype new ideas quickly and turn successful experiments into robust production features.\n, • Develop structured approaches to evaluating LLM outputs, using real business scenarios and measurable results.\n, • Work with LLM APIs across different providers and make pragmatic decisions around quality, cost and latency.\n, • Use AI coding tools such as GitHub Copilot, Cursor or equivalent as part of your day-to-day development.\n, • Work alongside existing engineering teams to ensure your solutions fit established coding standards, architecture and deployment pipelines.\n, • Keep pace with the rapidly changing AI ecosystem and share new approaches and learning with colleagues.\n, • Work with Product and subject matter experts to understand the underlying business problem rather than simply responding to a technical requirement.\n, • Ensure AI features are developed with appropriate consideration for accuracy, safety and data handling.\n\n Skills and Experience Required \n You'll need to be a strong software engineer first and foremost, with genuine commercial experience building with AI. \n We're particularly interested in people who can demonstrate: \n\n • Strong commercial C# .NET development experience, ideally working within established and potentially long-lived codebases.\n, • Hands-on experience building applications using Large Language Models, beyond tutorials or experimentation.\n, • Strong knowledge of prompt engineering, context engineering and structured outputs.\n, • Experience taking ideas from concept through to working software quickly.\n, • Experience evaluating or testing LLM outputs using structured approaches, datasets or real-world business scenarios.\n, • Daily experience using AI-assisted development tools such as GitHub Copilot, Cursor or similar.\n, • A pragmatic approach to software engineering – knowing when to move quickly and when production quality cannot be compromised.\n, • The ability to understand and articulate the business problem behind the technology you're building.\n\n It would be advantageous if you also have experience with: \n\n • RAG (Retrieval-Augmented Generation)\n, • Agentic workflows and tool use\n, • Vector databases/search and embeddings\n, • LLM APIs from multiple providers\n, • AI evaluation frameworks and automated quality pipelines\n, • Modernising or extending long-established software platforms\n, • SaaS environments\n, • Distributive trades, rental, retail, automotive aftermarket or garage management\n\n This isn't a role where you'll spend months working on theoretical AI projects that never reach customers. \n You'll have the opportunity to build, ship and see your work used in real products. The expectation is that successful ideas can move from concept to production in weeks, while still meeting the standards expected of business-critical software. \n You'll also have the opportunity to influence how AI is adopted across the wider engineering organisation, sharing your knowledge and helping other developers understand what genuinely works. \n Within your first six months, you'll ideally have: \n\n • Shipped an AI capability into an established product with meaningful evaluation behind it.\n, • Taken an AI idea from concept to customers within weeks rather than quarters.\n, • Used evaluation data to influence product or technical decisions – including being prepared to stop something that simply isn't good enough.\n, • Introduced new AI development techniques that other engineers have adopted.\n, • Demonstrated a clear understanding of the commercial problem you're solving, not just the technology you're using.\n\n If you're a C# .NET developer who is already building with LLMs and wants to work somewhere that is genuinely putting AI into production, we'd be very interested in hearing from you. \n Apply now or contact Apache Associates for a confidential discussion.

\n Role Title: Private Cloud Principal Engineer \n Duration: contract to run until 25/08/2027 \n Location: Sheffield. Hybrid, 3 days per week onsite \n Rate: up to £702.88 p/d Umbrella inside IR35 Role purpose / summary\n As a Principal Engineer in Private Cloud, you'll provide hands-on technical leadership across the client's private cloud platform, shaping and improving our virtualisation, container and Kubernetes capabilities, and enabling resilient, secure, high-performing services (including Kafka-based event streaming and microservices platforms). Reporting to the Head of Private Cloud, you'll partner closely with Product Owners, architects and engineering teams across CTO to turn strategy into practical, well-engineered outcomes. Key responsibilities\n \n • Technical leadership & engineering excellence\n, • Set engineering direction for private cloud capabilities spanning virtualisation, containers, Kubernetes, Kafka/event streaming, and microservices enablement.\n, • Act as a senior technical authority, review designs, challenge assumptions, and ensure solutions are supportable, secure, and cost-effective.\n, • Define and promote engineering standards, reference architectures, patterns and guardrails (think: "paved roads", not "speed bumps").\n, • Lead the end-to-end design and evolution of private cloud platform components (compute, storage, networking, orchestration, platform services).\n, • Drive consistent platform capabilities across environments (dev/test/prod), improving reliability, scalability, performance and operability.\n, • Influence platform roadmaps with Product Owners; translate business and technology needs into actionable engineering plans.\n, • Kubernetes & container platform\n, • Own key decisions around Kubernetes platform design: cluster architecture, multi-tenancy, ingress, service mesh (where applicable), policy, secrets, observability, upgrade strategies, and workload onboarding.\n, • Establish repeatable deployment patterns using GitOps/CI/CD, configuration management, and automation-first approaches.\n, • Kafka & event-driven platforms\n, • Provide technical leadership on Kafka platform usage and enablement (topic design patterns, partitioning strategy, resiliency, schema governance, security, monitoring and capacity planning).\n, • Partner with architects and service teams to adopt event-driven patterns safely and consistently.\n, • Coach teams on microservices design, domain boundaries, API/event contracts, resiliency patterns, and operational readiness.\n, • Improve developer experience through templates, golden paths, self-service capabilities, and clear documentation.\n, • Embed security-by-design and operational excellence: hardening, vulnerability management, identity and access controls, data protection, and auditability.\n, • Work as a bridge between Product, Architecture and Engineering-getting alignment without boiling the ocean.\n, • Communicate complex technical topics clearly to mixed audiences; write crisp design docs and influence decision forums.\n To be successful in this role, you should meet the following requirements:\n \n, • Proven experience as a Principal Engineer / Lead Engineer / Senior Staff Engineer (or equivalent) in large-scale, regulated, enterprise environments.\n, • Strong background in private cloud / platform engineering, including solid depth in at least two of: Virtualisation technologies (e.g., VMware or equivalent), Containers & Kubernetes (cluster operations, upgrades, networking, multi-tenancy, policy), Kafka/event streaming platforms (architecture, operations, governance)\n, • Strong engineering fundamentals: distributed systems, networking concepts, performance tuning, fault tolerance and capacity planning.\n, • Automation mindset with experience in Infrastructure as Code and CI/CD practices (tooling can vary).\n, • Strong operational and risk awareness: security controls, change management, and production readiness practices.\n Desirable skills:\n \n, • Service mesh, API gateways, secrets management, policy-as-code.\n, • Observability platforms (metrics/logs/traces) and practical incident leadership.\n, • Experience building "platform as a product" capabilities (service catalogue, self-service, developer portals).\n, • Experience with multi-region / active-active design considerations and resilience testing.\n Leadership behaviours:\n \n, • We Value Difference: welcomes challenge, encourages diverse views, and makes space for quieter voices in technical discussions.\n, • We Succeed Together: builds strong partnerships across Product, Architecture and Engineering to deliver shared outcomes.\n, • We Take Responsibility: makes clear trade-offs, owns decisions, and reduces operational and security risk proactively.\n, • We Get It Done: drives pragmatic outcomes, removes blockers, and raises engineering quality while moving at pace.\n What success looks like:\n \n, • Faster, safer onboarding of workloads to the private cloud through repeatable patterns and self-service capabilities.\n, • Improved platform stability and performance with measurable reliability outcomes (SLOs, reduced incidents, faster recovery).\n, • Clear, adopted standards for Kubernetes, Kafka and microservices usage across CTO engineering teams.\n, • Stronger collaboration across Product/Architecture/Engineering with transparent roadmaps and well-governed technical decisions\n Key relationships:\n \n, • Reports to: Head of Private Cloud\n, • Works closely with: Product Owners, CTO Architects, Platform/Infrastructure Engineering, Application Engineering teams, Cyber Security, Operations/SRE, and relevant governance forums\n \n All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply! \n If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website. \n #J-18808-Ljbffr

Apache Associates are currently working with an innovative SaaS organisation that is investing heavily in AI across its products.AI Software Engineer with strong C#.AI capabilities into genuine, production-ready product features.This is an ideal opportunity for a developer who combines.You’ll be t

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Private Cloud Principal Engineer - Cloud & Platform EngineeringLocation: Sheffield (3 days onsite per week mandatory) Duration: Initial 3-6 Month Contract Rate: Up to £700 per day Engagement: PAYE via Umbrella Only Overview An exciting opportunity has arisen for an experienced Principal Engineer to join a large-scale enterprise cloud engineering function. This role will provide technical leadership across critical platform engineering initiatives, focusing on private cloud technologies, Kubernetes, container platforms, event streaming and microservices enablement.Working closely with Product Owners, Architects, Infrastructure Engineers and Engineering teams, you will play a key role in shaping platform strategy, defining engineering standards and driving the delivery of secure, resilient and scalable cloud services. This is an excellent opportunity for a senior engineering professional who thrives on solving complex technical challenges and influencing technical direction across enterprise environments. Key Responsibilities Provide technical leadership across cloud and platform engineering initiatives Define and drive engineering standards, best practices, reference architectures and platform guardrails Act as a senior technical authority, reviewing designs and ensuring solutions are secure, scalable, supportable and cost-effective Lead the design and evolution of platform capabilities spanning compute, storage, networking, orchestration and platform services Work closely with Product Owners and Architects to translate strategic objectives into practical engineering solutions Drive improvements in reliability, scalability, performance and operational excellence across multiple environments Champion automation-first approaches through Infrastructure as Code, CI/CD and platform engineering best practices Influence platform roadmaps and engineering strategy Kubernetes & Container Technologies Lead architectural decisions relating to Kubernetes and container platforms Define standards for cluster architecture, networking, multi-tenancy, securityand workload onboarding Establish repeatable deployment patterns using GitOps, automation and configuration management Drive platform resilience,observability and operational maturity Support platform upgrades, governance and lifecycle management Event Streaming & Microservices Provide leadership across Kafka and event-driven technology platforms Establish standards for event streaming, resiliency, monitoring and governance Support engineering teams in adopting event-driven architectures and microservices patterns Drive best practice around API design, domain boundaries and service resilience Improve developer productivity through self-service capabilities, reusable templates and engineering standards Engineering Leadership Mentor engineering teams and promote engineering excellence Build strong relationships across Product, Architecture, Security and Engineering functions Drive alignment between technical strategy and delivery objectives Produce clear technical designs and influence decision-making forums Support operational excellence, security-by-design and risk management practices Essential Skills & Experience Proven experience as a Principal Engineer, Lead Engineer, Senior Staff Engineer or equivalent Strong background in Cloud, Infrastructure or Platform Engineering Deep expertise in Kubernetes and container technologies Experience with Kafka and event streaming platforms Strong knowledge of private cloud technologies and enterprise virtualisation platforms such as VMware Excellent understanding of distributed systems, networking, scalability and performance engineering Experience with Infrastructure as Code and CI/CD toolsets Strong understanding of security,governance and operational readiness Experience operating within large-scale enterprise environments Desirable Skills Service Mesh technologies API Gateway solutions Secrets Management platforms Policy as Code Observability and monitoring platforms SRE and operational excellence practices Platform-as-a-Product environments Developer self-service capabilities and service catalogues Multi-region architecture and resilience design What You'll Bring Strong technical leadership and decision-making skills Excellent stakeholder engagement and communication abilities A passion for engineering excellence and platform modernisation The ability to influence technical direction across complex environments A pragmatic approach to solving large-scale engineering challenges What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

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