As an AI Architect, you will guide the strategy and delivery for interoperable, compliant, and economically viable modern AI solutions. You will design architectures across a Hybrid AI landscape, blending Frontier Models (Azure OpenAI/Gemini) with Cost Efficient Small Language Models (SLMs) and Edge Inference. You will craft solutions based on advanced AI technologies from OpenAI, NVIDIA, Google, Microsoft, and AWS. This role has a focus on enabling advanced Agentic AI solutions that transform core business functions and enable the future hybrid workforce. Working at the highest levels, you will engage AI, Technology and Business leaders in the world's most successful organizations. You will lead architectural design and establish best practices for our most complex AI initiatives. This role requires a combination of deep hands on technical expertise in advanced AI with strategic business acumen, serving as both a technical authority and a trusted advisor to clients. Key Responsibilities What you'll do Define and govern reference architecture for multi agent systems, covering hierarchical, peer to peer, and sequential (ReAct) orchestration models. Guide teams on pattern selection based on client use cases. Architect standards for integrated memory systems, including short term session state, long term knowledge via vector databases and knowledge graphs, and episodic/audit memory. Ensure coherent retrieval strategies across layers. Define architectural patterns for end to end RAG pipelines, including chunking, embedding, vector search (e.g., Azure Cognitive Search, pgvector), and reranking. Ensure designs include standards for lineage, observability, and evaluation (e.g., RAGAS). Create and maintain decision frameworks for platform selection (e.g., Copilot Studio for Teams integration, Vertex AI for GCP workloads). Advise clients on balancing vendor lock in risks with integration benefits. Define the architectural standards for GenAIOps, including CI/CD, IaC, and observability. Establish standard metrics to track agent decision traces, latency, token consumption, hallucination, and cost. Architect enterprise wide guardrails for safety (hallucination mitigation), security (prompt injection defense, PII masking), and fairness (bias detection). Apply governance frameworks (NIST AI RMF, ISO 42001) and design human in the loop (HITL) workflows. Architect scalable integration patterns for agentic systems with enterprise platforms (Microsoft Entra ID, Teams, Dynamics/Salesforce, ERPs) and compute (Kubernetes). Ensure patterns address security, data residency, and compliance. Skill Requirements Core Qualifications (The Bar) Enterprise Experience: 8-10+ years in technical leadership, with a strong background in both software engineering and enterprise scale cloud architecture. Cloud Expertise: Architectural expertise with one primary cloud platform (Azure, GCP, or AWS) and hands on familiarity with at least one other. GenAI & LLM Depth: Demonstrated experience architecting and guiding solutions using GenAI platforms (e.g., Azure OpenAI, Vertex AI, or AWS Bedrock). RAG & Orchestration: Proven experience designing complex RAG pipelines. Model Fine tuning: Experience with instruction tuning or fine tuning strategies for LLMs. Leadership & Advisory Skills: Exceptional communication skills with demonstrated experience advising senior stakeholders (Director/C Level) on technical strategy, roadmaps, and governance. Preferred Qualifications (The Differentiators) Multi Agent Systems: Deep understanding of, and experience designing or prototyping, advanced multi agent systems (e.g., task decomposition, collaborative agents). Multi Cloud Experience: Hands on architectural expertise across all three major clouds (Azure, AWS, GCP). GenAI Ops & Governance: Hands on experience with GenAI Ops tooling. Familiarity with AI governance frameworks (NIST AI RMF, ISO 42001) and their practical application. AI FinOps & Model Routing: Experience with cost governance for AI models and routing strategies. Framework Expertise: Hands on development experience with one or more orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel). Thought Leadership & Open Source: Published work (whitepapers, patents), conference speaking engagements, or active contributions to relevant open source projects. Certifications: Professional level cloud certifications (e.g., Azure Solutions Architect Expert, AWS Solutions Architect Professional, GCP Professional Cloud Architect). Benefits Personal time off Maternity and paternity benefits Access to skills / higher education programs/resources Discounts on products and services via Benefit Box Participate in CSR programs and live life with a purpose Opportunities to grow and advance your career Note: The benefits listed above vary depending on the nature of your employment and the country where you work. Some benefits may be available in some countries but not in all.
24/06/2026
Full time
As an AI Architect, you will guide the strategy and delivery for interoperable, compliant, and economically viable modern AI solutions. You will design architectures across a Hybrid AI landscape, blending Frontier Models (Azure OpenAI/Gemini) with Cost Efficient Small Language Models (SLMs) and Edge Inference. You will craft solutions based on advanced AI technologies from OpenAI, NVIDIA, Google, Microsoft, and AWS. This role has a focus on enabling advanced Agentic AI solutions that transform core business functions and enable the future hybrid workforce. Working at the highest levels, you will engage AI, Technology and Business leaders in the world's most successful organizations. You will lead architectural design and establish best practices for our most complex AI initiatives. This role requires a combination of deep hands on technical expertise in advanced AI with strategic business acumen, serving as both a technical authority and a trusted advisor to clients. Key Responsibilities What you'll do Define and govern reference architecture for multi agent systems, covering hierarchical, peer to peer, and sequential (ReAct) orchestration models. Guide teams on pattern selection based on client use cases. Architect standards for integrated memory systems, including short term session state, long term knowledge via vector databases and knowledge graphs, and episodic/audit memory. Ensure coherent retrieval strategies across layers. Define architectural patterns for end to end RAG pipelines, including chunking, embedding, vector search (e.g., Azure Cognitive Search, pgvector), and reranking. Ensure designs include standards for lineage, observability, and evaluation (e.g., RAGAS). Create and maintain decision frameworks for platform selection (e.g., Copilot Studio for Teams integration, Vertex AI for GCP workloads). Advise clients on balancing vendor lock in risks with integration benefits. Define the architectural standards for GenAIOps, including CI/CD, IaC, and observability. Establish standard metrics to track agent decision traces, latency, token consumption, hallucination, and cost. Architect enterprise wide guardrails for safety (hallucination mitigation), security (prompt injection defense, PII masking), and fairness (bias detection). Apply governance frameworks (NIST AI RMF, ISO 42001) and design human in the loop (HITL) workflows. Architect scalable integration patterns for agentic systems with enterprise platforms (Microsoft Entra ID, Teams, Dynamics/Salesforce, ERPs) and compute (Kubernetes). Ensure patterns address security, data residency, and compliance. Skill Requirements Core Qualifications (The Bar) Enterprise Experience: 8-10+ years in technical leadership, with a strong background in both software engineering and enterprise scale cloud architecture. Cloud Expertise: Architectural expertise with one primary cloud platform (Azure, GCP, or AWS) and hands on familiarity with at least one other. GenAI & LLM Depth: Demonstrated experience architecting and guiding solutions using GenAI platforms (e.g., Azure OpenAI, Vertex AI, or AWS Bedrock). RAG & Orchestration: Proven experience designing complex RAG pipelines. Model Fine tuning: Experience with instruction tuning or fine tuning strategies for LLMs. Leadership & Advisory Skills: Exceptional communication skills with demonstrated experience advising senior stakeholders (Director/C Level) on technical strategy, roadmaps, and governance. Preferred Qualifications (The Differentiators) Multi Agent Systems: Deep understanding of, and experience designing or prototyping, advanced multi agent systems (e.g., task decomposition, collaborative agents). Multi Cloud Experience: Hands on architectural expertise across all three major clouds (Azure, AWS, GCP). GenAI Ops & Governance: Hands on experience with GenAI Ops tooling. Familiarity with AI governance frameworks (NIST AI RMF, ISO 42001) and their practical application. AI FinOps & Model Routing: Experience with cost governance for AI models and routing strategies. Framework Expertise: Hands on development experience with one or more orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel). Thought Leadership & Open Source: Published work (whitepapers, patents), conference speaking engagements, or active contributions to relevant open source projects. Certifications: Professional level cloud certifications (e.g., Azure Solutions Architect Expert, AWS Solutions Architect Professional, GCP Professional Cloud Architect). Benefits Personal time off Maternity and paternity benefits Access to skills / higher education programs/resources Discounts on products and services via Benefit Box Participate in CSR programs and live life with a purpose Opportunities to grow and advance your career Note: The benefits listed above vary depending on the nature of your employment and the country where you work. Some benefits may be available in some countries but not in all.
Senior Machine Learning Engineer About the Role We are looking for a Senior ML Engineer to take technical ownership of our machine learning production environment. You will lead the transition of experimental models into production-grade services that are reliable, scalable, and cost-effective. Your mission is to build the "highway" that allows our data science team to deploy models rapidly while ensuring those models are observable and fiscally responsible. You will own the entire ML lifecycle-from automated training pipelines to real-time inference clusters-and serve as a key software engineering contributor to our AI product stack. This is a hybrid role - three days per week in our Newcastle office. Key Responsibilities In this role your key responsibilities will be: Lifecycle & Pipeline Architecture Design and own the automated "Continuous Training" (CT) and deployment pipelines Architect reusable, modular infrastructure for model training and serving, ensuring the entire lifecycle is versioned and reproducible Software Engineering Best Practices Lead the team in adopting professional engineering standards Own the strategy for unit/integration testing, peer code reviews, and applying SOLID principles to ML codebases to ensure they remain modular and maintainable ML Observability Establish and own the telemetry framework for the AI stack Implement proactive monitoring for system health and model-specific metrics, such as data drift, concept drift, and prediction accuracy FinOps & Cost Management Own the strategy for AI cloud spend Build monitoring and alerting frameworks to track compute costs (training and inference) Implement optimization strategies like auto-scaling and spot-instance usage AI Systems Engineering Act as a lead software engineer to integrate models into the product ecosystem Develop high-performance, secure APIs and microservices that wrap our ML capabilities for production consumption Data & Model Governance Own the versioning strategy for the "Holy Trinity" of ML: code, data, and model artifacts Ensure clear documentation and audit trails for all production deployments What We're Looking For Essential Skills (Entry Requirements) Demonstrating strong software engineering fundamentals, including production-quality Python, testing, CI/CD practices, and version control Designing and operating reliable, versioned REST APIs using an API-first approach Building, deploying, and operating backend services in cloud environments, with AWS as the primary platform (experience on other major clouds considered transferable) Using containerisation and modern deployment approaches, including Docker, automated pipelines, and basic observability Working effectively with real-world data and production systems in collaboration with product, data, and platform teams Bringing either hands on experience delivering machine learning systems in production or a very strong software engineering background with clear motivation to grow into ML and MLOps Desirable Skills (Strong Differentiators) Using AWS SageMaker for training, deploying, and operating machine learning workloads, or demonstrating equivalent experience on similar cloud ML platforms Exposing machine learning models via APIs (e.g. FastAPI based inference services) and operating them reliably at scale Applying MLOps practices, including model and version management, monitoring, and handling model or data drift Implementing advanced service patterns such as asynchronous processing, event driven architectures, or multi version services Serving LLM or GenAI based capabilities in production, including model serving, RAG pipelines, and inference controls Designing reusable, platform level services and shared ML patterns rather than one off implementations Managing cloud operational trade offs, including cost efficiency, latency, scalability, and reliability Function: Service Fabric (Data and Developer Services) Country: United Kingdom Office Location: Newcastle Work Place Type: Hybrid
24/06/2026
Full time
Senior Machine Learning Engineer About the Role We are looking for a Senior ML Engineer to take technical ownership of our machine learning production environment. You will lead the transition of experimental models into production-grade services that are reliable, scalable, and cost-effective. Your mission is to build the "highway" that allows our data science team to deploy models rapidly while ensuring those models are observable and fiscally responsible. You will own the entire ML lifecycle-from automated training pipelines to real-time inference clusters-and serve as a key software engineering contributor to our AI product stack. This is a hybrid role - three days per week in our Newcastle office. Key Responsibilities In this role your key responsibilities will be: Lifecycle & Pipeline Architecture Design and own the automated "Continuous Training" (CT) and deployment pipelines Architect reusable, modular infrastructure for model training and serving, ensuring the entire lifecycle is versioned and reproducible Software Engineering Best Practices Lead the team in adopting professional engineering standards Own the strategy for unit/integration testing, peer code reviews, and applying SOLID principles to ML codebases to ensure they remain modular and maintainable ML Observability Establish and own the telemetry framework for the AI stack Implement proactive monitoring for system health and model-specific metrics, such as data drift, concept drift, and prediction accuracy FinOps & Cost Management Own the strategy for AI cloud spend Build monitoring and alerting frameworks to track compute costs (training and inference) Implement optimization strategies like auto-scaling and spot-instance usage AI Systems Engineering Act as a lead software engineer to integrate models into the product ecosystem Develop high-performance, secure APIs and microservices that wrap our ML capabilities for production consumption Data & Model Governance Own the versioning strategy for the "Holy Trinity" of ML: code, data, and model artifacts Ensure clear documentation and audit trails for all production deployments What We're Looking For Essential Skills (Entry Requirements) Demonstrating strong software engineering fundamentals, including production-quality Python, testing, CI/CD practices, and version control Designing and operating reliable, versioned REST APIs using an API-first approach Building, deploying, and operating backend services in cloud environments, with AWS as the primary platform (experience on other major clouds considered transferable) Using containerisation and modern deployment approaches, including Docker, automated pipelines, and basic observability Working effectively with real-world data and production systems in collaboration with product, data, and platform teams Bringing either hands on experience delivering machine learning systems in production or a very strong software engineering background with clear motivation to grow into ML and MLOps Desirable Skills (Strong Differentiators) Using AWS SageMaker for training, deploying, and operating machine learning workloads, or demonstrating equivalent experience on similar cloud ML platforms Exposing machine learning models via APIs (e.g. FastAPI based inference services) and operating them reliably at scale Applying MLOps practices, including model and version management, monitoring, and handling model or data drift Implementing advanced service patterns such as asynchronous processing, event driven architectures, or multi version services Serving LLM or GenAI based capabilities in production, including model serving, RAG pipelines, and inference controls Designing reusable, platform level services and shared ML patterns rather than one off implementations Managing cloud operational trade offs, including cost efficiency, latency, scalability, and reliability Function: Service Fabric (Data and Developer Services) Country: United Kingdom Office Location: Newcastle Work Place Type: Hybrid
Senior Machine Learning Engineer About the Role We are looking for a Senior ML Engineer to take technical ownership of our machine learning production environment. You will lead the transition of experimental models into production-grade services that are reliable, scalable, and cost-effective. Your mission is to build the "highway" that allows our data science team to deploy models rapidly while ensuring those models are observable and fiscally responsible. You will own the entire ML lifecycle-from automated training pipelines to real-time inference clusters-and serve as a key software engineering contributor to our AI product stack. This is a hybrid role - three days per week in our Newcastle office. Key Responsibilities In this role your key responsibilities will be: Lifecycle & Pipeline Architecture Design and own the automated "Continuous Training" (CT) and deployment pipelines Architect reusable, modular infrastructure for model training and serving, ensuring the entire lifecycle is versioned and reproducible Software Engineering Best Practices Lead the team in adopting professional engineering standards Own the strategy for unit/integration testing, peer code reviews, and applying SOLID principles to ML codebases to ensure they remain modular and maintainable ML Observability Establish and own the telemetry framework for the AI stack Implement proactive monitoring for system health and model-specific metrics, such as data drift, concept drift, and prediction accuracy FinOps & Cost Management Own the strategy for AI cloud spend Build monitoring and alerting frameworks to track compute costs (training and inference) Implement optimization strategies like auto-scaling and spot-instance usage AI Systems Engineering Act as a lead software engineer to integrate models into the product ecosystem Develop high-performance, secure APIs and microservices that wrap our ML capabilities for production consumption Data & Model Governance Own the versioning strategy for the "Holy Trinity" of ML: code, data, and model artifacts Ensure clear documentation and audit trails for all production deployments What We're Looking For Essential Skills (Entry Requirements) Demonstrating strong software engineering fundamentals, including production-quality Python, testing, CI/CD practices, and version control Designing and operating reliable, versioned REST APIs using an API-first approach Building, deploying, and operating backend services in cloud environments, with AWS as the primary platform (experience on other major clouds considered transferable) Using containerisation and modern deployment approaches, including Docker, automated pipelines, and basic observability Working effectively with real-world data and production systems in collaboration with product, data, and platform teams Bringing either hands on experience delivering machine learning systems in production or a very strong software engineering background with clear motivation to grow into ML and MLOps Desirable Skills (Strong Differentiators) Using AWS SageMaker for training, deploying, and operating machine learning workloads, or demonstrating equivalent experience on similar cloud ML platforms Exposing machine learning models via APIs (e.g. FastAPI based inference services) and operating them reliably at scale Applying MLOps practices, including model and version management, monitoring, and handling model or data drift Implementing advanced service patterns such as asynchronous processing, event driven architectures, or multi version services Serving LLM or GenAI based capabilities in production, including model serving, RAG pipelines, and inference controls Designing reusable, platform level services and shared ML patterns rather than one off implementations Managing cloud operational trade offs, including cost efficiency, latency, scalability, and reliability Function: Service Fabric (Data and Developer Services) Country: United Kingdom Office Location: Newcastle Work Place Type: Hybrid
24/06/2026
Full time
Senior Machine Learning Engineer About the Role We are looking for a Senior ML Engineer to take technical ownership of our machine learning production environment. You will lead the transition of experimental models into production-grade services that are reliable, scalable, and cost-effective. Your mission is to build the "highway" that allows our data science team to deploy models rapidly while ensuring those models are observable and fiscally responsible. You will own the entire ML lifecycle-from automated training pipelines to real-time inference clusters-and serve as a key software engineering contributor to our AI product stack. This is a hybrid role - three days per week in our Newcastle office. Key Responsibilities In this role your key responsibilities will be: Lifecycle & Pipeline Architecture Design and own the automated "Continuous Training" (CT) and deployment pipelines Architect reusable, modular infrastructure for model training and serving, ensuring the entire lifecycle is versioned and reproducible Software Engineering Best Practices Lead the team in adopting professional engineering standards Own the strategy for unit/integration testing, peer code reviews, and applying SOLID principles to ML codebases to ensure they remain modular and maintainable ML Observability Establish and own the telemetry framework for the AI stack Implement proactive monitoring for system health and model-specific metrics, such as data drift, concept drift, and prediction accuracy FinOps & Cost Management Own the strategy for AI cloud spend Build monitoring and alerting frameworks to track compute costs (training and inference) Implement optimization strategies like auto-scaling and spot-instance usage AI Systems Engineering Act as a lead software engineer to integrate models into the product ecosystem Develop high-performance, secure APIs and microservices that wrap our ML capabilities for production consumption Data & Model Governance Own the versioning strategy for the "Holy Trinity" of ML: code, data, and model artifacts Ensure clear documentation and audit trails for all production deployments What We're Looking For Essential Skills (Entry Requirements) Demonstrating strong software engineering fundamentals, including production-quality Python, testing, CI/CD practices, and version control Designing and operating reliable, versioned REST APIs using an API-first approach Building, deploying, and operating backend services in cloud environments, with AWS as the primary platform (experience on other major clouds considered transferable) Using containerisation and modern deployment approaches, including Docker, automated pipelines, and basic observability Working effectively with real-world data and production systems in collaboration with product, data, and platform teams Bringing either hands on experience delivering machine learning systems in production or a very strong software engineering background with clear motivation to grow into ML and MLOps Desirable Skills (Strong Differentiators) Using AWS SageMaker for training, deploying, and operating machine learning workloads, or demonstrating equivalent experience on similar cloud ML platforms Exposing machine learning models via APIs (e.g. FastAPI based inference services) and operating them reliably at scale Applying MLOps practices, including model and version management, monitoring, and handling model or data drift Implementing advanced service patterns such as asynchronous processing, event driven architectures, or multi version services Serving LLM or GenAI based capabilities in production, including model serving, RAG pipelines, and inference controls Designing reusable, platform level services and shared ML patterns rather than one off implementations Managing cloud operational trade offs, including cost efficiency, latency, scalability, and reliability Function: Service Fabric (Data and Developer Services) Country: United Kingdom Office Location: Newcastle Work Place Type: Hybrid
We are looking for a Principal Architect to lead our technology strategy in AI (Artificial Intelligence), Generative AI, IA (Intelligent Automation) and agentic solution development. As a vital force driving the strategic and technical evolution of the Global Streaming Platform, this role empowers the organisation to harness ground breaking advancements in AI, including Large Language Models (LLMs), agent workflows, and machine learning infrastructures. By seamlessly integrating these cutting edge technologies into secure, scalable, and high performance enterprise solutions, the Principal Architect will enable transformative growth and ensure the company maintains its position as a world class leader. This role requires deep knowledge in AI and IA technologies, strong architectural skills, and a strategic approach to recommend tailored platform transformations and deliver advanced AI solutions to maintain the business at its world class position. What you'll do: Architectural Leadership Oversee the comprehensive architecture strategy for developing and deploying AI applications and solutions, considering data management, cybersecurity, legal aspects, appropriate platform and infrastructure adaptation and third party vendor selection and integration. Recommend the tailored level of transformation required within the current platform to adapt and exploit at scale the adoption of AI based technologies guaranteeing cost efficiency, reliability, performance and security. Design and maintain an AI extension to the platform as an integrated technology stack, independent of any specific vendors but capable of integrating with major AI models and third party commodities, for porting self serving AI in house developed solutions. Contribute to the AI roadmap and identify AI driven efficiency, innovation or automation opportunities maintaining alignment with business goals, regulatory or compliance requirements and ethical principles. Solution Design Partner with product and engineering teams to translate business requirements into scalable AI solutions. Lead the evaluation, selection, and integration of AI platforms and models, tools, and technologies. Ensure optimized integration of AI solutions with existing systems and data sources. Technical Expertise Collaborate with the product teams to assist in the refinement of AI related product requirements, and to provide early, high level advice on opportunities and possible solutions. Stay current with emerging AI trends, technologies, protocols, research breakthroughs, model development and AI software design pattern and best practices. Provide technical guidance and mentorship to the engineering teams. Collaboration and Communication Foster strong relationships with stakeholders, including business leaders, product managers. Collaborate with senior leadership to align AI initiatives with organizational goals. Communicate complex technical concepts to non technical stakeholders effectively. Promote a collaborative and innovative AI culture within the whole organisation. Work closely with project managers, data scientists, developers and IT teams to define project scope, objectives, deliverables and solutions. Partner with the FinOps team to ensure implementation of adequate monitoring and budgetary guardrails. Work closely with the procurement and legal team in the negotiations with vendors. Governance and Compliance Establish governance and define internal standards, guidelines, and best practices to ensure data privacy, security, and ethical use of AI. Ensure compliance with industry standards and international regulations. What you'll bring: Advanced degree in Computer Science, AI, or a related field. Contributions to open source AI projects or published research in AI/ML. Extensive experience in software or systems architecture, with strong focus in AI/ML domains. Proven experience designing and deploying AI solutions using frameworks such as LangChain, RAG, and vector databases or the MCP protocol. Deep understanding of LLMs, prompt engineering, model evaluation, and fine tuning strategies. Strong proficiency in ML frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (AWS, Azure, GCP). Experience with AI infrastructure components including model gateways, orchestration layers, and observability tools. Familiarity with AI governance, data privacy, international regulation and ethical AI frameworks. Excellent leadership, communication, and interpersonal skills. Strong analytical and problem solving abilities. Ability to work in a fast paced, dynamic environment. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Your office space Osterley Our Osterley Campus is a 10 minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon.
23/06/2026
Full time
We are looking for a Principal Architect to lead our technology strategy in AI (Artificial Intelligence), Generative AI, IA (Intelligent Automation) and agentic solution development. As a vital force driving the strategic and technical evolution of the Global Streaming Platform, this role empowers the organisation to harness ground breaking advancements in AI, including Large Language Models (LLMs), agent workflows, and machine learning infrastructures. By seamlessly integrating these cutting edge technologies into secure, scalable, and high performance enterprise solutions, the Principal Architect will enable transformative growth and ensure the company maintains its position as a world class leader. This role requires deep knowledge in AI and IA technologies, strong architectural skills, and a strategic approach to recommend tailored platform transformations and deliver advanced AI solutions to maintain the business at its world class position. What you'll do: Architectural Leadership Oversee the comprehensive architecture strategy for developing and deploying AI applications and solutions, considering data management, cybersecurity, legal aspects, appropriate platform and infrastructure adaptation and third party vendor selection and integration. Recommend the tailored level of transformation required within the current platform to adapt and exploit at scale the adoption of AI based technologies guaranteeing cost efficiency, reliability, performance and security. Design and maintain an AI extension to the platform as an integrated technology stack, independent of any specific vendors but capable of integrating with major AI models and third party commodities, for porting self serving AI in house developed solutions. Contribute to the AI roadmap and identify AI driven efficiency, innovation or automation opportunities maintaining alignment with business goals, regulatory or compliance requirements and ethical principles. Solution Design Partner with product and engineering teams to translate business requirements into scalable AI solutions. Lead the evaluation, selection, and integration of AI platforms and models, tools, and technologies. Ensure optimized integration of AI solutions with existing systems and data sources. Technical Expertise Collaborate with the product teams to assist in the refinement of AI related product requirements, and to provide early, high level advice on opportunities and possible solutions. Stay current with emerging AI trends, technologies, protocols, research breakthroughs, model development and AI software design pattern and best practices. Provide technical guidance and mentorship to the engineering teams. Collaboration and Communication Foster strong relationships with stakeholders, including business leaders, product managers. Collaborate with senior leadership to align AI initiatives with organizational goals. Communicate complex technical concepts to non technical stakeholders effectively. Promote a collaborative and innovative AI culture within the whole organisation. Work closely with project managers, data scientists, developers and IT teams to define project scope, objectives, deliverables and solutions. Partner with the FinOps team to ensure implementation of adequate monitoring and budgetary guardrails. Work closely with the procurement and legal team in the negotiations with vendors. Governance and Compliance Establish governance and define internal standards, guidelines, and best practices to ensure data privacy, security, and ethical use of AI. Ensure compliance with industry standards and international regulations. What you'll bring: Advanced degree in Computer Science, AI, or a related field. Contributions to open source AI projects or published research in AI/ML. Extensive experience in software or systems architecture, with strong focus in AI/ML domains. Proven experience designing and deploying AI solutions using frameworks such as LangChain, RAG, and vector databases or the MCP protocol. Deep understanding of LLMs, prompt engineering, model evaluation, and fine tuning strategies. Strong proficiency in ML frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (AWS, Azure, GCP). Experience with AI infrastructure components including model gateways, orchestration layers, and observability tools. Familiarity with AI governance, data privacy, international regulation and ethical AI frameworks. Excellent leadership, communication, and interpersonal skills. Strong analytical and problem solving abilities. Ability to work in a fast paced, dynamic environment. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Your office space Osterley Our Osterley Campus is a 10 minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon.
We are looking for a Principal Architect to lead our technology strategy in AI (Artificial Intelligence), Generative AI, IA (Intelligent Automation) and agentic solution development. As a vital force driving the strategic and technical evolution of the Global Streaming Platform, this role empowers the organisation to harness ground breaking advancements in AI, including Large Language Models (LLMs), agent workflows, and machine learning infrastructures. By seamlessly integrating these cutting edge technologies into secure, scalable, and high performance enterprise solutions, the Principal Architect will enable transformative growth and ensure the company maintains its position as a world class leader. This role requires deep knowledge in AI and IA technologies, strong architectural skills, and a strategic approach to recommend tailored platform transformations and deliver advanced AI solutions to maintain the business at its world class position. What you'll do: Architectural Leadership Oversee the comprehensive architecture strategy for developing and deploying AI applications and solutions, considering data management, cybersecurity, legal aspects, appropriate platform and infrastructure adaptation and third party vendor selection and integration. Recommend the tailored level of transformation required within the current platform to adapt and exploit at scale the adoption of AI based technologies guaranteeing cost efficiency, reliability, performance and security. Design and maintain an AI extension to the platform as an integrated technology stack, independent of any specific vendors but capable of integrating with major AI models and third party commodities, for porting self serving AI in house developed solutions. Contribute to the AI roadmap and identify AI driven efficiency, innovation or automation opportunities maintaining alignment with business goals, regulatory or compliance requirements and ethical principles. Solution Design Partner with product and engineering teams to translate business requirements into scalable AI solutions. Lead the evaluation, selection, and integration of AI platforms and models, tools, and technologies. Ensure optimized integration of AI solutions with existing systems and data sources. Technical Expertise Collaborate with the product teams to assist in the refinement of AI related product requirements, and to provide early, high level advice on opportunities and possible solutions. Stay current with emerging AI trends, technologies, protocols, research breakthroughs, model development and AI software design pattern and best practices. Provide technical guidance and mentorship to the engineering teams. Collaboration and Communication Foster strong relationships with stakeholders, including business leaders, product managers. Collaborate with senior leadership to align AI initiatives with organizational goals. Communicate complex technical concepts to non technical stakeholders effectively. Promote a collaborative and innovative AI culture within the whole organisation. Work closely with project managers, data scientists, developers and IT teams to define project scope, objectives, deliverables and solutions. Partner with the FinOps team to ensure implementation of adequate monitoring and budgetary guardrails. Work closely with the procurement and legal team in the negotiations with vendors. Governance and Compliance Establish governance and define internal standards, guidelines, and best practices to ensure data privacy, security, and ethical use of AI. Ensure compliance with industry standards and international regulations. What you'll bring: Advanced degree in Computer Science, AI, or a related field. Contributions to open source AI projects or published research in AI/ML. Extensive experience in software or systems architecture, with strong focus in AI/ML domains. Proven experience designing and deploying AI solutions using frameworks such as LangChain, RAG, and vector databases or the MCP protocol. Deep understanding of LLMs, prompt engineering, model evaluation, and fine tuning strategies. Strong proficiency in ML frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (AWS, Azure, GCP). Experience with AI infrastructure components including model gateways, orchestration layers, and observability tools. Familiarity with AI governance, data privacy, international regulation and ethical AI frameworks. Excellent leadership, communication, and interpersonal skills. Strong analytical and problem solving abilities. Ability to work in a fast paced, dynamic environment. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Your office space Osterley Our Osterley Campus is a 10 minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon.
23/06/2026
Full time
We are looking for a Principal Architect to lead our technology strategy in AI (Artificial Intelligence), Generative AI, IA (Intelligent Automation) and agentic solution development. As a vital force driving the strategic and technical evolution of the Global Streaming Platform, this role empowers the organisation to harness ground breaking advancements in AI, including Large Language Models (LLMs), agent workflows, and machine learning infrastructures. By seamlessly integrating these cutting edge technologies into secure, scalable, and high performance enterprise solutions, the Principal Architect will enable transformative growth and ensure the company maintains its position as a world class leader. This role requires deep knowledge in AI and IA technologies, strong architectural skills, and a strategic approach to recommend tailored platform transformations and deliver advanced AI solutions to maintain the business at its world class position. What you'll do: Architectural Leadership Oversee the comprehensive architecture strategy for developing and deploying AI applications and solutions, considering data management, cybersecurity, legal aspects, appropriate platform and infrastructure adaptation and third party vendor selection and integration. Recommend the tailored level of transformation required within the current platform to adapt and exploit at scale the adoption of AI based technologies guaranteeing cost efficiency, reliability, performance and security. Design and maintain an AI extension to the platform as an integrated technology stack, independent of any specific vendors but capable of integrating with major AI models and third party commodities, for porting self serving AI in house developed solutions. Contribute to the AI roadmap and identify AI driven efficiency, innovation or automation opportunities maintaining alignment with business goals, regulatory or compliance requirements and ethical principles. Solution Design Partner with product and engineering teams to translate business requirements into scalable AI solutions. Lead the evaluation, selection, and integration of AI platforms and models, tools, and technologies. Ensure optimized integration of AI solutions with existing systems and data sources. Technical Expertise Collaborate with the product teams to assist in the refinement of AI related product requirements, and to provide early, high level advice on opportunities and possible solutions. Stay current with emerging AI trends, technologies, protocols, research breakthroughs, model development and AI software design pattern and best practices. Provide technical guidance and mentorship to the engineering teams. Collaboration and Communication Foster strong relationships with stakeholders, including business leaders, product managers. Collaborate with senior leadership to align AI initiatives with organizational goals. Communicate complex technical concepts to non technical stakeholders effectively. Promote a collaborative and innovative AI culture within the whole organisation. Work closely with project managers, data scientists, developers and IT teams to define project scope, objectives, deliverables and solutions. Partner with the FinOps team to ensure implementation of adequate monitoring and budgetary guardrails. Work closely with the procurement and legal team in the negotiations with vendors. Governance and Compliance Establish governance and define internal standards, guidelines, and best practices to ensure data privacy, security, and ethical use of AI. Ensure compliance with industry standards and international regulations. What you'll bring: Advanced degree in Computer Science, AI, or a related field. Contributions to open source AI projects or published research in AI/ML. Extensive experience in software or systems architecture, with strong focus in AI/ML domains. Proven experience designing and deploying AI solutions using frameworks such as LangChain, RAG, and vector databases or the MCP protocol. Deep understanding of LLMs, prompt engineering, model evaluation, and fine tuning strategies. Strong proficiency in ML frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (AWS, Azure, GCP). Experience with AI infrastructure components including model gateways, orchestration layers, and observability tools. Familiarity with AI governance, data privacy, international regulation and ethical AI frameworks. Excellent leadership, communication, and interpersonal skills. Strong analytical and problem solving abilities. Ability to work in a fast paced, dynamic environment. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Your office space Osterley Our Osterley Campus is a 10 minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon.
Senior Azure Platform/Cloud Operations Lead Huge opportunity to grow - £85,000 to £90,000 plus excellent benefits - Flexible on 2 days a week in the office (preferred presence, but not essential) - Worthing, West Sussex Core elements: Man-management + communication skills. Azure-native services (PaaS + IaaS). DevOps/Platform Engineer/Automation skills. Ownership of enterprise landing zones. Terraform-driven IaC strategy. Leading teams/mentoring. Stakeholder management & communication. Operating model/platform governance Overview of the Senior Azure Platform/Cloud Operations Lead position: A large organisation that has far reaching impacts on the environment, the community and our ecosystem, seek an experienced Senior Azure Platform/Cloud Operations Lead to help play a critical role in the design, implementation, and ongoing operation of the companies cloud infrastructure, with a strong emphasis on Microsoft Azure. As a key technical contributor within the Cloud Operations function, you will be responsible for ensuring that cloud-based services are available, secure, efficient, and cost-effective. This includes provisioning and managing compute, storage, networking, and identity services, as well as supporting the use of advanced PaaS capabilities and analytics platforms. You will be in a hands-on role that demands strong technical expertise, a problem-solving mindset, and a proactive approach to continuous improvement. You will support the development and operation of cloud Landing Zones and act as a trusted delivery partner for internal stakeholders and project teams. By applying DevOps and automation principles, you will reduce manual overhead, accelerate delivery cycles, and improve operational resilience. You will contribute to broader strategic goals by supporting the shift from traditional on-premises infrastructure to scalable, cloud-native services aligned with an "as-a-service" delivery model. As the Senior Azure Platform/Cloud Operations Lead you will also work closely with security, compliance, and disaster recovery teams to ensure that cloud services are not only high-performing and flexible, but also resilient and governed appropriately. As they continue to grow its cloud footprint, this position offers an opportunity to shape how cloud services are delivered across the business. It is ideal for someone looking to deepen their technical expertise while contributing to a major enterprise-wide transformation in digital infrastructure. Responsibilities for the Senior Azure Platform/Cloud Operations Lead position: Azure Cloud Engineering: Build, configure, and maintain Azure cloud environments (IaaS, PaaS, storage, networking, identity). Deploy and support Azure Landing Zones in line with enterprise architecture standards. Support the transition from IaaS to PaaS services by designing and implementing modern cloud-native solutions. Monitor and manage cloud workloads to ensure availability, performance, and security. Operations & Automation: Implement infrastructure as code (IaC) using tools such as Bicep, ARM templates, or Terraform. Automate provisioning, scaling, and maintenance of cloud resources using DevOps pipelines and scripts (PowerShell, Azure CLI, CI/CD etc.). Monitor system health, respond to incidents, and participate in root cause analysis and continuous improvement. Security, Governance & Compliance: Enforce cloud security best practices, including role-based access control (RBAC), encryption, and secure networking. Support compliance with internal policies and regulatory standards by ensuring guardrails and policies are in place. Collaborate with Security Operations and Compliance teams to remediate vulnerabilities and audit issues. Knowledge And Skills Needed for the Senior Azure Platform/Cloud Operations Lead position: Bachelor's degree in Computer Science, Information Technology, or a related field or equivalent work experience. Extensive experience with Microsoft Azure cloud services and PaaS/IaaS solutions. Strong knowledge of landing zone architecture and best practices. Proven experience in defining and implementing cloud infrastructure standards and best practices. Infrastructure as Code (IaC): Knowledge of IaC tools like Terraform or CloudFormation to provision and manage infrastructure resources programmatically. Containerisation and Orchestration: Proficient with container technologies like Docker and container orchestration platforms such as Kubernetes. Automation: Strong Scripting skills (eg, Python, PowerShell) and the ability to automate routine tasks and deployment processes for efficiency and consistency. Security: Expertise in cloud security best practices, identity and access management (IAM), encryption, and compliance frameworks (eg, PCI DSS, NIST). Networking: Strong knowledge of cloud networking concepts, including virtual networks, subnets, security groups, load balancers, and VPN configurations. DevOps Principles: An understanding of DevOps practices and the ability to integrate development and operations workflows for faster and more reliable deployments. FinOps (Cloud Financial Operations): Experience with managing cloud costs, optimising cloud spending, and implementing FinOps principles to drive cost-effective cloud strategies while balancing performance and scalability. Senior Azure Platform/Cloud Operations Lead Huge opportunity to grow - £85,000 to £90,000 plus excellent benefits - Flexible on 2 days a week in the office (preferred presence, but not essential) - Worthing, West Sussex
23/06/2026
Full time
Senior Azure Platform/Cloud Operations Lead Huge opportunity to grow - £85,000 to £90,000 plus excellent benefits - Flexible on 2 days a week in the office (preferred presence, but not essential) - Worthing, West Sussex Core elements: Man-management + communication skills. Azure-native services (PaaS + IaaS). DevOps/Platform Engineer/Automation skills. Ownership of enterprise landing zones. Terraform-driven IaC strategy. Leading teams/mentoring. Stakeholder management & communication. Operating model/platform governance Overview of the Senior Azure Platform/Cloud Operations Lead position: A large organisation that has far reaching impacts on the environment, the community and our ecosystem, seek an experienced Senior Azure Platform/Cloud Operations Lead to help play a critical role in the design, implementation, and ongoing operation of the companies cloud infrastructure, with a strong emphasis on Microsoft Azure. As a key technical contributor within the Cloud Operations function, you will be responsible for ensuring that cloud-based services are available, secure, efficient, and cost-effective. This includes provisioning and managing compute, storage, networking, and identity services, as well as supporting the use of advanced PaaS capabilities and analytics platforms. You will be in a hands-on role that demands strong technical expertise, a problem-solving mindset, and a proactive approach to continuous improvement. You will support the development and operation of cloud Landing Zones and act as a trusted delivery partner for internal stakeholders and project teams. By applying DevOps and automation principles, you will reduce manual overhead, accelerate delivery cycles, and improve operational resilience. You will contribute to broader strategic goals by supporting the shift from traditional on-premises infrastructure to scalable, cloud-native services aligned with an "as-a-service" delivery model. As the Senior Azure Platform/Cloud Operations Lead you will also work closely with security, compliance, and disaster recovery teams to ensure that cloud services are not only high-performing and flexible, but also resilient and governed appropriately. As they continue to grow its cloud footprint, this position offers an opportunity to shape how cloud services are delivered across the business. It is ideal for someone looking to deepen their technical expertise while contributing to a major enterprise-wide transformation in digital infrastructure. Responsibilities for the Senior Azure Platform/Cloud Operations Lead position: Azure Cloud Engineering: Build, configure, and maintain Azure cloud environments (IaaS, PaaS, storage, networking, identity). Deploy and support Azure Landing Zones in line with enterprise architecture standards. Support the transition from IaaS to PaaS services by designing and implementing modern cloud-native solutions. Monitor and manage cloud workloads to ensure availability, performance, and security. Operations & Automation: Implement infrastructure as code (IaC) using tools such as Bicep, ARM templates, or Terraform. Automate provisioning, scaling, and maintenance of cloud resources using DevOps pipelines and scripts (PowerShell, Azure CLI, CI/CD etc.). Monitor system health, respond to incidents, and participate in root cause analysis and continuous improvement. Security, Governance & Compliance: Enforce cloud security best practices, including role-based access control (RBAC), encryption, and secure networking. Support compliance with internal policies and regulatory standards by ensuring guardrails and policies are in place. Collaborate with Security Operations and Compliance teams to remediate vulnerabilities and audit issues. Knowledge And Skills Needed for the Senior Azure Platform/Cloud Operations Lead position: Bachelor's degree in Computer Science, Information Technology, or a related field or equivalent work experience. Extensive experience with Microsoft Azure cloud services and PaaS/IaaS solutions. Strong knowledge of landing zone architecture and best practices. Proven experience in defining and implementing cloud infrastructure standards and best practices. Infrastructure as Code (IaC): Knowledge of IaC tools like Terraform or CloudFormation to provision and manage infrastructure resources programmatically. Containerisation and Orchestration: Proficient with container technologies like Docker and container orchestration platforms such as Kubernetes. Automation: Strong Scripting skills (eg, Python, PowerShell) and the ability to automate routine tasks and deployment processes for efficiency and consistency. Security: Expertise in cloud security best practices, identity and access management (IAM), encryption, and compliance frameworks (eg, PCI DSS, NIST). Networking: Strong knowledge of cloud networking concepts, including virtual networks, subnets, security groups, load balancers, and VPN configurations. DevOps Principles: An understanding of DevOps practices and the ability to integrate development and operations workflows for faster and more reliable deployments. FinOps (Cloud Financial Operations): Experience with managing cloud costs, optimising cloud spending, and implementing FinOps principles to drive cost-effective cloud strategies while balancing performance and scalability. Senior Azure Platform/Cloud Operations Lead Huge opportunity to grow - £85,000 to £90,000 plus excellent benefits - Flexible on 2 days a week in the office (preferred presence, but not essential) - Worthing, West Sussex
Salary: £75,000 - 75,000 per year Requirements Strong experience in cloud infrastructure architecture (Azure, AWS, or GCP) Solid background across networking, infrastructure, and system administration Experience designing secure, scalable, enterprise-level cloud environments Strong knowledge of Infrastructure as Code and automation tooling Experience with container platforms (Kubernetes / AKS / EKS / GKE) Understanding of identity and access management (IAM, Azure AD, RBAC) Experience with cloud cost optimisation and performance tuning Strong stakeholder communication and ability to translate technical concepts Responsibilities Designing end-to-end cloud architectures across compute, storage, networking, and identity Leading the development of cloud standards, design patterns, and governance frameworks Driving hybrid and multi-cloud strategies (Azure, AWS, GCP) Supporting migration of on-premise workloads into cloud environments Implementing Infrastructure as Code (Terraform, Bicep, ARM) Designing secure cloud environments aligned to Zero Trust principles Collaborating with security teams to embed monitoring, logging, and incident response Optimising cloud performance, cost, and scalability (FinOps principles) Leading on resilience, disaster recovery, and capacity planning Acting as a technical advisor to stakeholders across the business Technologies ARM AWS Architect Azure Cloud GCP IAM Kubernetes RBAC Security Terraform More We are a growing UK business looking for a Cloud Infrastructure Architect to play a pivotal role in shaping our modern cloud environment. This hybrid position offers an opportunity to combine hands on design with strategic influence while working closely with engineering, security, and platform teams. We offer the chance to shape cloud strategy within a business actively investing in cloud and infrastructure, ensuring high visibility and impact across technology teams. last updated 25 week of 2026
23/06/2026
Full time
Salary: £75,000 - 75,000 per year Requirements Strong experience in cloud infrastructure architecture (Azure, AWS, or GCP) Solid background across networking, infrastructure, and system administration Experience designing secure, scalable, enterprise-level cloud environments Strong knowledge of Infrastructure as Code and automation tooling Experience with container platforms (Kubernetes / AKS / EKS / GKE) Understanding of identity and access management (IAM, Azure AD, RBAC) Experience with cloud cost optimisation and performance tuning Strong stakeholder communication and ability to translate technical concepts Responsibilities Designing end-to-end cloud architectures across compute, storage, networking, and identity Leading the development of cloud standards, design patterns, and governance frameworks Driving hybrid and multi-cloud strategies (Azure, AWS, GCP) Supporting migration of on-premise workloads into cloud environments Implementing Infrastructure as Code (Terraform, Bicep, ARM) Designing secure cloud environments aligned to Zero Trust principles Collaborating with security teams to embed monitoring, logging, and incident response Optimising cloud performance, cost, and scalability (FinOps principles) Leading on resilience, disaster recovery, and capacity planning Acting as a technical advisor to stakeholders across the business Technologies ARM AWS Architect Azure Cloud GCP IAM Kubernetes RBAC Security Terraform More We are a growing UK business looking for a Cloud Infrastructure Architect to play a pivotal role in shaping our modern cloud environment. This hybrid position offers an opportunity to combine hands on design with strategic influence while working closely with engineering, security, and platform teams. We offer the chance to shape cloud strategy within a business actively investing in cloud and infrastructure, ensuring high visibility and impact across technology teams. last updated 25 week of 2026
At Commify, we're not just a company, we're a globally connected team of innovators who love what we do. As a CPaaS leader with 25 years of groundbreaking experience, we are the force behind over 5 billion customer interactions each year, enabling businesses worldwide to connect via advanced channels like SMS, RCS, and complex mobile journeys. Our culture is our core strength. Operating across the UK, EMEA, the USA, and Australia, we've fostered a truly diverse and connected environment, earning a consistent 4 out of 5 culture score in our employee engagement surveys. You'll join a vibrant team where your diverse experience makes a daily global impact. We need talented people to grow a global company where everyone feels proud to belong, has a purpose and does their best to directly shape the digital future. The Role Develop and maintain Terraform modules for Azure core services and enforce IaC standards across providers. Deploy and manage AKS clusters with GitOps, implement Istio service mesh, lead CIS security hardening, and create centralised Helm charts for consistency. Design networking architecture including hub VNets, Azure Firewall policies, and DNS configurations with thorough documentation. Implement Identity and Security measures including PIM, RBAC, CI/CD credential management, container security, and compliance preparation. Modernise CI/CD with reusable workflows, template repositories, provider agnostic tooling, automated versioning, and integrated security scanning. Set up observability with Loki, Grafana Alloy, and tracing; integrate FinOps practices for cost aware infrastructure and capacity planning. Improve Developer Experience by building automation tools, creating onboarding resources, and providing technical mentorship. Post production, focus on technical support, roadmap design, and adopting enterprise best practices including ArgoCD, Cilium, Argo Rollouts, KEDA, Falco, Kyverno, DAPR, and multi tenant AKS designs. The Person The successful candidate will be an exceptional engineer with a proven track record of delivering cloud platforms at scale. They will combine deep technical expertise with the ability to communicate architectural decisions to stakeholders at all levels, from development teams to C suite. Azure at Scale: Expert in designing Azure landing zones, multi subscription architectures, hub spoke networking, and key Azure services (Firewall, Front Door, App Service, Key Vault, Entra ID, PIM). Kubernetes/AKS: Deep production experience managing AKS or similar, including cluster lifecycle, upgrades, RBAC, network policies, and security hardening. Terraform: Expert module development, state management, CI/CD integration, and multi region/provider codebase management. Service Mesh: Hands on with Istio (ambient mode preferred) or Cilium for mTLS, traffic management, Gateway API, and zero trust networking. GitOps & Continuous Delivery: Experience with ArgoCD or equivalent, transitioning teams to GitOps methodologies. CI/CD Engineering: Strong with GitHub Actions workflows, Azure DevOps Pipelines, and migrating CI platforms. Networking: Expert in Azure networking (VNets, NSGs, DNS, hub spoke topology, firewall design). Security: Practical shift left security experience including container scanning, image signing, CIS benchmarks, and pen test readiness. Helm: Skilled in authoring and maintaining Helm charts for standardised multi language app deployment. Linux & Containers: Strong Linux knowledge, container lifecycle management, Dockerfile optimisation, and registry management. Scripting & Tooling: Proficient in Bash and Python for automation and creating internal CLI tools. Architecture: Experience creating HLDs, LLDs, architectural decisions; leading technical discussions with clear trade offs. Communication: Effective stakeholder communication from developers to C suite, translating technical decisions into business context. Mentorship: Proven ability as a technical escalation point and mentor for diverse engineering teams. Greenfield Delivery: Experience designing and delivering cloud platforms from scratch, ideally with regulatory/compliance considerations. Desirable Go programming for internal tooling and CLI frameworks (Cobra, Kong). Argo Rollouts for blue/green and canary deployments. KEDA, Karpenter, or similar autoscaling and cluster right sizing tools. Benefits Competitive Salary (£70 - 80,000) Company Bonus Comprehensive healthcare cash plan A generous 27 days of annual leave in addition to Bank Holidays 2 Wellbeing leave days and 2 days dedicated to giving back to your community Enjoy your birthday off! Employer pension contribution at 5% Death in service benefit (4 times your salary) Annual award recognition Fun monthly and quarterly social events Opportunities for training and professional development Flexible hybrid working arrangements
23/06/2026
Full time
At Commify, we're not just a company, we're a globally connected team of innovators who love what we do. As a CPaaS leader with 25 years of groundbreaking experience, we are the force behind over 5 billion customer interactions each year, enabling businesses worldwide to connect via advanced channels like SMS, RCS, and complex mobile journeys. Our culture is our core strength. Operating across the UK, EMEA, the USA, and Australia, we've fostered a truly diverse and connected environment, earning a consistent 4 out of 5 culture score in our employee engagement surveys. You'll join a vibrant team where your diverse experience makes a daily global impact. We need talented people to grow a global company where everyone feels proud to belong, has a purpose and does their best to directly shape the digital future. The Role Develop and maintain Terraform modules for Azure core services and enforce IaC standards across providers. Deploy and manage AKS clusters with GitOps, implement Istio service mesh, lead CIS security hardening, and create centralised Helm charts for consistency. Design networking architecture including hub VNets, Azure Firewall policies, and DNS configurations with thorough documentation. Implement Identity and Security measures including PIM, RBAC, CI/CD credential management, container security, and compliance preparation. Modernise CI/CD with reusable workflows, template repositories, provider agnostic tooling, automated versioning, and integrated security scanning. Set up observability with Loki, Grafana Alloy, and tracing; integrate FinOps practices for cost aware infrastructure and capacity planning. Improve Developer Experience by building automation tools, creating onboarding resources, and providing technical mentorship. Post production, focus on technical support, roadmap design, and adopting enterprise best practices including ArgoCD, Cilium, Argo Rollouts, KEDA, Falco, Kyverno, DAPR, and multi tenant AKS designs. The Person The successful candidate will be an exceptional engineer with a proven track record of delivering cloud platforms at scale. They will combine deep technical expertise with the ability to communicate architectural decisions to stakeholders at all levels, from development teams to C suite. Azure at Scale: Expert in designing Azure landing zones, multi subscription architectures, hub spoke networking, and key Azure services (Firewall, Front Door, App Service, Key Vault, Entra ID, PIM). Kubernetes/AKS: Deep production experience managing AKS or similar, including cluster lifecycle, upgrades, RBAC, network policies, and security hardening. Terraform: Expert module development, state management, CI/CD integration, and multi region/provider codebase management. Service Mesh: Hands on with Istio (ambient mode preferred) or Cilium for mTLS, traffic management, Gateway API, and zero trust networking. GitOps & Continuous Delivery: Experience with ArgoCD or equivalent, transitioning teams to GitOps methodologies. CI/CD Engineering: Strong with GitHub Actions workflows, Azure DevOps Pipelines, and migrating CI platforms. Networking: Expert in Azure networking (VNets, NSGs, DNS, hub spoke topology, firewall design). Security: Practical shift left security experience including container scanning, image signing, CIS benchmarks, and pen test readiness. Helm: Skilled in authoring and maintaining Helm charts for standardised multi language app deployment. Linux & Containers: Strong Linux knowledge, container lifecycle management, Dockerfile optimisation, and registry management. Scripting & Tooling: Proficient in Bash and Python for automation and creating internal CLI tools. Architecture: Experience creating HLDs, LLDs, architectural decisions; leading technical discussions with clear trade offs. Communication: Effective stakeholder communication from developers to C suite, translating technical decisions into business context. Mentorship: Proven ability as a technical escalation point and mentor for diverse engineering teams. Greenfield Delivery: Experience designing and delivering cloud platforms from scratch, ideally with regulatory/compliance considerations. Desirable Go programming for internal tooling and CLI frameworks (Cobra, Kong). Argo Rollouts for blue/green and canary deployments. KEDA, Karpenter, or similar autoscaling and cluster right sizing tools. Benefits Competitive Salary (£70 - 80,000) Company Bonus Comprehensive healthcare cash plan A generous 27 days of annual leave in addition to Bank Holidays 2 Wellbeing leave days and 2 days dedicated to giving back to your community Enjoy your birthday off! Employer pension contribution at 5% Death in service benefit (4 times your salary) Annual award recognition Fun monthly and quarterly social events Opportunities for training and professional development Flexible hybrid working arrangements
At Commify, we're not just a company, we're a globally connected team of innovators who love what we do. As a CPaaS leader with 25 years of groundbreaking experience, we are the force behind over 5 billion customer interactions each year, enabling businesses worldwide to connect via advanced channels like SMS, RCS, and complex mobile journeys. Our culture is our core strength. Operating across the UK, EMEA, the USA, and Australia, we've fostered a truly diverse and connected environment, earning a consistent 4 out of 5 culture score in our employee engagement surveys. You'll join a vibrant team where your diverse experience makes a daily global impact. We need talented people to grow a global company where everyone feels proud to belong, has a purpose and does their best to directly shape the digital future. The Role Develop and maintain Terraform modules for Azure core services and enforce IaC standards across providers. Deploy and manage AKS clusters with GitOps, implement Istio service mesh, lead CIS security hardening, and create centralised Helm charts for consistency. Design networking architecture including hub VNets, Azure Firewall policies, and DNS configurations with thorough documentation. Implement Identity and Security measures including PIM, RBAC, CI/CD credential management, container security, and compliance preparation. Modernise CI/CD with reusable workflows, template repositories, provider agnostic tooling, automated versioning, and integrated security scanning. Set up observability with Loki, Grafana Alloy, and tracing; integrate FinOps practices for cost aware infrastructure and capacity planning. Improve Developer Experience by building automation tools, creating onboarding resources, and providing technical mentorship. Post production, focus on technical support, roadmap design, and adopting enterprise best practices including ArgoCD, Cilium, Argo Rollouts, KEDA, Falco, Kyverno, DAPR, and multi tenant AKS designs. The Person The successful candidate will be an exceptional engineer with a proven track record of delivering cloud platforms at scale. They will combine deep technical expertise with the ability to communicate architectural decisions to stakeholders at all levels, from development teams to C suite. Azure at Scale: Expert in designing Azure landing zones, multi subscription architectures, hub spoke networking, and key Azure services (Firewall, Front Door, App Service, Key Vault, Entra ID, PIM). Kubernetes/AKS: Deep production experience managing AKS or similar, including cluster lifecycle, upgrades, RBAC, network policies, and security hardening. Terraform: Expert module development, state management, CI/CD integration, and multi region/provider codebase management. Service Mesh: Hands on with Istio (ambient mode preferred) or Cilium for mTLS, traffic management, Gateway API, and zero trust networking. GitOps & Continuous Delivery: Experience with ArgoCD or equivalent, transitioning teams to GitOps methodologies. CI/CD Engineering: Strong with GitHub Actions workflows, Azure DevOps Pipelines, and migrating CI platforms. Networking: Expert in Azure networking (VNets, NSGs, DNS, hub spoke topology, firewall design). Security: Practical shift left security experience including container scanning, image signing, CIS benchmarks, and pen test readiness. Helm: Skilled in authoring and maintaining Helm charts for standardised multi language app deployment. Linux & Containers: Strong Linux knowledge, container lifecycle management, Dockerfile optimisation, and registry management. Scripting & Tooling: Proficient in Bash and Python for automation and creating internal CLI tools. Architecture: Experience creating HLDs, LLDs, architectural decisions; leading technical discussions with clear trade offs. Communication: Effective stakeholder communication from developers to C suite, translating technical decisions into business context. Mentorship: Proven ability as a technical escalation point and mentor for diverse engineering teams. Greenfield Delivery: Experience designing and delivering cloud platforms from scratch, ideally with regulatory/compliance considerations. Desirable Go programming for internal tooling and CLI frameworks (Cobra, Kong). Argo Rollouts for blue/green and canary deployments. KEDA, Karpenter, or similar autoscaling and cluster right sizing tools. Benefits Competitive Salary (£70 - 80,000) Company Bonus Comprehensive healthcare cash plan A generous 27 days of annual leave in addition to Bank Holidays 2 Wellbeing leave days and 2 days dedicated to giving back to your community Enjoy your birthday off! Employer pension contribution at 5% Death in service benefit (4 times your salary) Annual award recognition Fun monthly and quarterly social events Opportunities for training and professional development Flexible hybrid working arrangements
23/06/2026
Full time
At Commify, we're not just a company, we're a globally connected team of innovators who love what we do. As a CPaaS leader with 25 years of groundbreaking experience, we are the force behind over 5 billion customer interactions each year, enabling businesses worldwide to connect via advanced channels like SMS, RCS, and complex mobile journeys. Our culture is our core strength. Operating across the UK, EMEA, the USA, and Australia, we've fostered a truly diverse and connected environment, earning a consistent 4 out of 5 culture score in our employee engagement surveys. You'll join a vibrant team where your diverse experience makes a daily global impact. We need talented people to grow a global company where everyone feels proud to belong, has a purpose and does their best to directly shape the digital future. The Role Develop and maintain Terraform modules for Azure core services and enforce IaC standards across providers. Deploy and manage AKS clusters with GitOps, implement Istio service mesh, lead CIS security hardening, and create centralised Helm charts for consistency. Design networking architecture including hub VNets, Azure Firewall policies, and DNS configurations with thorough documentation. Implement Identity and Security measures including PIM, RBAC, CI/CD credential management, container security, and compliance preparation. Modernise CI/CD with reusable workflows, template repositories, provider agnostic tooling, automated versioning, and integrated security scanning. Set up observability with Loki, Grafana Alloy, and tracing; integrate FinOps practices for cost aware infrastructure and capacity planning. Improve Developer Experience by building automation tools, creating onboarding resources, and providing technical mentorship. Post production, focus on technical support, roadmap design, and adopting enterprise best practices including ArgoCD, Cilium, Argo Rollouts, KEDA, Falco, Kyverno, DAPR, and multi tenant AKS designs. The Person The successful candidate will be an exceptional engineer with a proven track record of delivering cloud platforms at scale. They will combine deep technical expertise with the ability to communicate architectural decisions to stakeholders at all levels, from development teams to C suite. Azure at Scale: Expert in designing Azure landing zones, multi subscription architectures, hub spoke networking, and key Azure services (Firewall, Front Door, App Service, Key Vault, Entra ID, PIM). Kubernetes/AKS: Deep production experience managing AKS or similar, including cluster lifecycle, upgrades, RBAC, network policies, and security hardening. Terraform: Expert module development, state management, CI/CD integration, and multi region/provider codebase management. Service Mesh: Hands on with Istio (ambient mode preferred) or Cilium for mTLS, traffic management, Gateway API, and zero trust networking. GitOps & Continuous Delivery: Experience with ArgoCD or equivalent, transitioning teams to GitOps methodologies. CI/CD Engineering: Strong with GitHub Actions workflows, Azure DevOps Pipelines, and migrating CI platforms. Networking: Expert in Azure networking (VNets, NSGs, DNS, hub spoke topology, firewall design). Security: Practical shift left security experience including container scanning, image signing, CIS benchmarks, and pen test readiness. Helm: Skilled in authoring and maintaining Helm charts for standardised multi language app deployment. Linux & Containers: Strong Linux knowledge, container lifecycle management, Dockerfile optimisation, and registry management. Scripting & Tooling: Proficient in Bash and Python for automation and creating internal CLI tools. Architecture: Experience creating HLDs, LLDs, architectural decisions; leading technical discussions with clear trade offs. Communication: Effective stakeholder communication from developers to C suite, translating technical decisions into business context. Mentorship: Proven ability as a technical escalation point and mentor for diverse engineering teams. Greenfield Delivery: Experience designing and delivering cloud platforms from scratch, ideally with regulatory/compliance considerations. Desirable Go programming for internal tooling and CLI frameworks (Cobra, Kong). Argo Rollouts for blue/green and canary deployments. KEDA, Karpenter, or similar autoscaling and cluster right sizing tools. Benefits Competitive Salary (£70 - 80,000) Company Bonus Comprehensive healthcare cash plan A generous 27 days of annual leave in addition to Bank Holidays 2 Wellbeing leave days and 2 days dedicated to giving back to your community Enjoy your birthday off! Employer pension contribution at 5% Death in service benefit (4 times your salary) Annual award recognition Fun monthly and quarterly social events Opportunities for training and professional development Flexible hybrid working arrangements
Senior Director, Data and Information Marketplace We're building a connected, end-to-end Enterprise AI engine - uniting data foundations, AI technology, process reinvention, and business-facing AI to accelerate results across the whole value chain. Success depends on being exceptional connectors: you'll actively harness existing capabilities, celebrate and promote reuse, export breakthrough ideas across geographies and functions, and obsess over scaling impact rather than building in isolation. If you thrive in high collaboration environments where your role is to turn sophisticated, cross functional problems into reusable, enterprise wide capabilities - and where the measure of success is adoption and scale, not just innovation - you'll have the platform (and sponsorship) to make it real! Introduction to role The Senior Director, Data and Information Marketplace provides strategic leadership for the capabilities, products and governance needed to help humans and intelligent agents discover, share, understand and use data and information quickly, easily and compliantly. This role shapes an integrated Data & Information Marketplace that improves the consumption experience across the enterprise, increases confidence in data and information assets, and ensures they are accessible, transparent, governed and valuable throughout their lifecycle. It ensures that data and information can be used with trust and efficiency, supports responsible and scalable reuse, and drives adoption of product based capabilities and tooling that enhance enterprise productivity, compliance and decision making. Accountabilities Lead the vision for a unified Data & Information Marketplace that transforms how data and information are discovered, accessed and reused across the organisation. Define a clear strategy and roadmap that aligns marketplace outcomes with enterprise data, AI and business priorities, setting measurable goals and operating models that drive impact. Oversee product ownership for marketplace capabilities and tooling, ensuring intuitive experiences for both people and agents across discovery, access, sharing, understanding and use. Advise the development of capabilities for data access, lineage, observability and quality so that data assets are transparent, trusted and usable at scale. Shape enterprise approaches to data, information and knowledge lifecycle management, embedding governance for retention, stewardship, reuse, archival and disposal to maximise value while maintaining compliance. Champion new ways of managing unstructured information to improve discoverability, control and responsible use beyond traditional structured domains. Embed robust governance and control frameworks across marketplace services, aligned with legal, privacy, security and risk standards. Drive financial transparency and optimisation for marketplace platforms and services through FinOps practices that improve cost visibility, value realisation and sustainable scaling. Influence senior leaders across business, data, digital, security and compliance functions to secure adoption, prioritisation and continuous improvement of marketplace capabilities and ways of working. Ready to shape how data powers digital healthcare? Essential Skills/Experience 10+ years enterprise level leadership experience in data governance, data management, information management or enterprise data platforms, with accountability for global strategy and delivery. Experience in user experience design and evidence of translating this into easy, coherent, seamless experiences that are widely adopted by users and machines across multiple enterprise business units. Deep expertise in relevant capability areas, including data quality, observability, lineage, access management, lifecycle management and information governance. Measurable evidence of optimising the data P&L across covering cost/FinOps, value realisation and sustainability. Proven experience in product management and product ownership for enterprise data or information capabilities, including tooling, user experience and adoption at scale. Innovates, experiments and brings external perspectives, with a track record of applying frontier technologies and approaches to increase speed, quality and compliance of data. Strong collaboration skills and evidence of success in an enterprise scale federated ownership and delivery model, recognising when to build on the work and skills of others, and when to do themselves. Demonstrated ability to lead through complexity and influence senior partners across functions, driving enterprise alignment, decisions and enterprise change in a global environment. Strong communication, strategic planning and execution skills, with a track record of defining measurable outcomes, prioritising investments and delivering business value through data and information capabilities. Desirable Skills/Experience Experience leading large scale data marketplaces or catalogues in highly regulated industries. Background in applying AI/ML to metadata management, knowledge graphs or intelligent search. Track record of building data products that directly enable scientific or clinical decision making. Familiarity with cloud native architectures, modern data platforms and automation for data operations. Evidence of building high performing global teams that blend engineering, product and governance skills. When we put unexpected teams in the same room, we unleash ambitious thinking with the power to inspire life changing medicines. In person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our outstanding and ambitious world! AstraZeneca offers the chance to combine technology leadership with meaningful impact: work with modern platforms in data, analytics, AI and machine learning; experiment with innovative approaches through hackathons and modern engineering practices; collaborate with diverse experts across science and technology; and help transform how medicines are discovered, developed and delivered with strong backing, investment and a culture that encourages ownership, curiosity and continuous learning! Date Posted: 17-Jun-2026 Closing Date: 24-Jun-2026 Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form.
22/06/2026
Full time
Senior Director, Data and Information Marketplace We're building a connected, end-to-end Enterprise AI engine - uniting data foundations, AI technology, process reinvention, and business-facing AI to accelerate results across the whole value chain. Success depends on being exceptional connectors: you'll actively harness existing capabilities, celebrate and promote reuse, export breakthrough ideas across geographies and functions, and obsess over scaling impact rather than building in isolation. If you thrive in high collaboration environments where your role is to turn sophisticated, cross functional problems into reusable, enterprise wide capabilities - and where the measure of success is adoption and scale, not just innovation - you'll have the platform (and sponsorship) to make it real! Introduction to role The Senior Director, Data and Information Marketplace provides strategic leadership for the capabilities, products and governance needed to help humans and intelligent agents discover, share, understand and use data and information quickly, easily and compliantly. This role shapes an integrated Data & Information Marketplace that improves the consumption experience across the enterprise, increases confidence in data and information assets, and ensures they are accessible, transparent, governed and valuable throughout their lifecycle. It ensures that data and information can be used with trust and efficiency, supports responsible and scalable reuse, and drives adoption of product based capabilities and tooling that enhance enterprise productivity, compliance and decision making. Accountabilities Lead the vision for a unified Data & Information Marketplace that transforms how data and information are discovered, accessed and reused across the organisation. Define a clear strategy and roadmap that aligns marketplace outcomes with enterprise data, AI and business priorities, setting measurable goals and operating models that drive impact. Oversee product ownership for marketplace capabilities and tooling, ensuring intuitive experiences for both people and agents across discovery, access, sharing, understanding and use. Advise the development of capabilities for data access, lineage, observability and quality so that data assets are transparent, trusted and usable at scale. Shape enterprise approaches to data, information and knowledge lifecycle management, embedding governance for retention, stewardship, reuse, archival and disposal to maximise value while maintaining compliance. Champion new ways of managing unstructured information to improve discoverability, control and responsible use beyond traditional structured domains. Embed robust governance and control frameworks across marketplace services, aligned with legal, privacy, security and risk standards. Drive financial transparency and optimisation for marketplace platforms and services through FinOps practices that improve cost visibility, value realisation and sustainable scaling. Influence senior leaders across business, data, digital, security and compliance functions to secure adoption, prioritisation and continuous improvement of marketplace capabilities and ways of working. Ready to shape how data powers digital healthcare? Essential Skills/Experience 10+ years enterprise level leadership experience in data governance, data management, information management or enterprise data platforms, with accountability for global strategy and delivery. Experience in user experience design and evidence of translating this into easy, coherent, seamless experiences that are widely adopted by users and machines across multiple enterprise business units. Deep expertise in relevant capability areas, including data quality, observability, lineage, access management, lifecycle management and information governance. Measurable evidence of optimising the data P&L across covering cost/FinOps, value realisation and sustainability. Proven experience in product management and product ownership for enterprise data or information capabilities, including tooling, user experience and adoption at scale. Innovates, experiments and brings external perspectives, with a track record of applying frontier technologies and approaches to increase speed, quality and compliance of data. Strong collaboration skills and evidence of success in an enterprise scale federated ownership and delivery model, recognising when to build on the work and skills of others, and when to do themselves. Demonstrated ability to lead through complexity and influence senior partners across functions, driving enterprise alignment, decisions and enterprise change in a global environment. Strong communication, strategic planning and execution skills, with a track record of defining measurable outcomes, prioritising investments and delivering business value through data and information capabilities. Desirable Skills/Experience Experience leading large scale data marketplaces or catalogues in highly regulated industries. Background in applying AI/ML to metadata management, knowledge graphs or intelligent search. Track record of building data products that directly enable scientific or clinical decision making. Familiarity with cloud native architectures, modern data platforms and automation for data operations. Evidence of building high performing global teams that blend engineering, product and governance skills. When we put unexpected teams in the same room, we unleash ambitious thinking with the power to inspire life changing medicines. In person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our outstanding and ambitious world! AstraZeneca offers the chance to combine technology leadership with meaningful impact: work with modern platforms in data, analytics, AI and machine learning; experiment with innovative approaches through hackathons and modern engineering practices; collaborate with diverse experts across science and technology; and help transform how medicines are discovered, developed and delivered with strong backing, investment and a culture that encourages ownership, curiosity and continuous learning! Date Posted: 17-Jun-2026 Closing Date: 24-Jun-2026 Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form.
Salary: £55,000 - 55,000 per year Requirements Strong experience in platform engineering, cloud engineering, or DevOps within data driven environments Hands on expertise in AWS, infrastructure as code, and CI/CD pipelines Experience building secure, scalable cloud environments A solid understanding of data platforms, pipelines, or analytics ecosystems A mindset focused on reliability, observability, and continuous improvement Technical skills in AWS compute, storage, IAM, and networking Experience with Terraform and/or AWS CDK Experience with CI/CD tooling and pipeline engineering Experience with observability, monitoring, and operational tooling Strong SQL skills and systems thinking Desirable: experience with Lakehouse technologies such as S3 and Iceberg Desirable: experience in regulated or data sensitive environments Desirable: exposure to multi account or multi tenant cloud architecture Responsibilities Design, build, and operate our AWS based data platform using infrastructure as code Create and manage CI/CD pipelines to enable safe, controlled deployments Support our modern Lakehouse architecture, including ingestion, processing, and data serving layers Embed security, governance, and compliance controls across the platform Drive platform observability, monitoring, and performance optimisation Own aspects of cost management (FinOps) and platform efficiency Collaborate with Data Engineers and Analytics & AI teams to deliver trusted data products Technologies AI AWS CI/CD Cloud DevOps IAM Support SQL Security Terraform Mobile More We are hiring a Senior Data Platform Engineer on a 12 month fixed term contract to help shape and operate our next generation data platform. You will join our Microlise One Analytics & AI platform and play a pivotal role in building a secure, scalable, governed data ecosystem that supports analytics, AI, and business critical insights across the organisation. This is a high impact opportunity to work on a modern, cloud native platform with real business impact, collaborating across engineering and data teams. We are a Midlands based business with over thirty years of history and have recently become a publicly listed company on the London Stock Exchange. Our solutions support leading UK grocery retailers and food logistics providers, as well as well known brands including JCB, Eddie Stobart, Carlsberg, Waitrose, and Royal Mail. We offer a 37.5 hour week with flexible working opportunities, professional development support, a salary sacrifice EV car scheme, private medical insurance with Vitality Health, 25 days of holiday plus bank holidays increasing with service, employee wellbeing support, an Employee Assistance Programme, free Costco membership, discounts with EE and other local offers, staff extras, and rewards including Great Place to Work certification and access to racing and arena tickets. last updated 25 week of 2026
21/06/2026
Full time
Salary: £55,000 - 55,000 per year Requirements Strong experience in platform engineering, cloud engineering, or DevOps within data driven environments Hands on expertise in AWS, infrastructure as code, and CI/CD pipelines Experience building secure, scalable cloud environments A solid understanding of data platforms, pipelines, or analytics ecosystems A mindset focused on reliability, observability, and continuous improvement Technical skills in AWS compute, storage, IAM, and networking Experience with Terraform and/or AWS CDK Experience with CI/CD tooling and pipeline engineering Experience with observability, monitoring, and operational tooling Strong SQL skills and systems thinking Desirable: experience with Lakehouse technologies such as S3 and Iceberg Desirable: experience in regulated or data sensitive environments Desirable: exposure to multi account or multi tenant cloud architecture Responsibilities Design, build, and operate our AWS based data platform using infrastructure as code Create and manage CI/CD pipelines to enable safe, controlled deployments Support our modern Lakehouse architecture, including ingestion, processing, and data serving layers Embed security, governance, and compliance controls across the platform Drive platform observability, monitoring, and performance optimisation Own aspects of cost management (FinOps) and platform efficiency Collaborate with Data Engineers and Analytics & AI teams to deliver trusted data products Technologies AI AWS CI/CD Cloud DevOps IAM Support SQL Security Terraform Mobile More We are hiring a Senior Data Platform Engineer on a 12 month fixed term contract to help shape and operate our next generation data platform. You will join our Microlise One Analytics & AI platform and play a pivotal role in building a secure, scalable, governed data ecosystem that supports analytics, AI, and business critical insights across the organisation. This is a high impact opportunity to work on a modern, cloud native platform with real business impact, collaborating across engineering and data teams. We are a Midlands based business with over thirty years of history and have recently become a publicly listed company on the London Stock Exchange. Our solutions support leading UK grocery retailers and food logistics providers, as well as well known brands including JCB, Eddie Stobart, Carlsberg, Waitrose, and Royal Mail. We offer a 37.5 hour week with flexible working opportunities, professional development support, a salary sacrifice EV car scheme, private medical insurance with Vitality Health, 25 days of holiday plus bank holidays increasing with service, employee wellbeing support, an Employee Assistance Programme, free Costco membership, discounts with EE and other local offers, staff extras, and rewards including Great Place to Work certification and access to racing and arena tickets. last updated 25 week of 2026
Newcastle upon Tyne, United Kingdom Posted on 17/06/2026 Scrumconnect Consulting is a leading digital transformation consultancy delivering innovative, user-centred technology solutions across the public and private sectors. We specialise in helping organisations build scalable, secure, and accessible digital services by combining agile delivery, engineering excellence, and collaborative ways of working. Our multidisciplinary teams work across cloud engineering, software development, user-centred design, data, and DevOps to create impactful digital products that improve outcomes for millions of users. We foster a culture of continuous learning, innovation, and inclusion, empowering our people to deliver meaningful change while growing their careers in a supportive environment. Location: UK (Remote with occasional travel as required) Employment Type: Permanent / Contract Security Clearance: SC Clearance Required (or eligibility to obtain SC Clearance) Role Overview Scrumconnect is seeking an experienced AWS DevOps Engineer to support the delivery of large-scale digital services within a complex cloud environment. You will be responsible for building, maintaining, and optimising AWS infrastructure, deployment pipelines, and cloud operations across multiple environments. The role will involve working closely with multidisciplinary teams, including software developers, architects, testers, and delivery teams, to deliver secure, scalable, and resilient solutions. The successful candidate will have strong experience across AWS services, CI/CD pipelines, infrastructure automation, and modern application architectures comprising React front-end applications, microservices, serverless functions, and event-driven integrations. Key Responsibilities Support the setup, configuration, and management of multiple AWS environments across development, test, staging, and production. Build, maintain, and optimise CI/CD pipelines using Git-based tooling. Manage AWS infrastructure supporting a mix of React front-end applications, microservices, AWS Lambda functions, and Kafka event integrations. Support integrations involving ETL processes and Robotic Process Automation (RPA) solutions. Implement and manage secure networking patterns, including AWS Transit Gateway and PrivateLink where required. Support the deployment and management of Kong Enterprise API Gateway. Administer Multi-Factor Authentication (MFA) and AWS Identity and Access Management (IAM) roles and permissions for development teams. Ensure AWS resources are correctly tagged and managed in accordance with FinOps standards and governance requirements. Monitor system performance, availability, and reliability across environments. Collaborate with engineering teams to improve automation, deployment efficiency, and operational excellence. Troubleshoot infrastructure and deployment issues across cloud environments. Contribute to cloud security best practices and continuous improvement initiatives. Support the delivery of highly accessible digital services, ensuring front-end solutions align with WCAG 2.2 AAA accessibility standards. Strong experience designing, deploying, and supporting AWS cloud infrastructure. Experience managing multiple environments within AWS. Strong knowledge of CI/CD pipelines and Git-based workflows. Experience supporting modern application architectures, including: React front-end applications Microservices AWS Lambda functions Event-driven architectures using Kafka Experience with Infrastructure as Code (Terraform, CloudFormation, or equivalent). Strong understanding of AWS networking concepts, including Transit Gateway and PrivateLink. Experience administering IAM, MFA, and security controls. Knowledge of API management platforms such as Kong Enterprise. Experience implementing cloud governance and FinOps practices, including resource tagging standards. Strong troubleshooting and problem-solving skills. Experience working within Agile delivery teams. Experience supporting ETL pipelines and data integration solutions. Exposure to Robotic Process Automation (RPA) platforms. Experience delivering services within UK Government or highly regulated environments. Familiarity with accessibility standards, particularly WCAG 2.2. Knowledge of monitoring and observability tools such as CloudWatch, Grafana, or Prometheus. What We Offer Opportunity to work on impactful digital transformation programmes. Collaborative and supportive working environment. Exposure to modern cloud technologies and large-scale platforms. Continuous learning and professional development opportunities. Flexible working arrangements. Diversity & Inclusion At Scrumconnect, we are committed to creating an inclusive workplace where everyone can thrive. We welcome applications from individuals of all backgrounds, experiences, and perspectives and are dedicated to fostering a diverse workforce that reflects the communities we serve. We are an equal opportunities employer and actively encourage applications from underrepresented groups. Reasonable adjustments are available throughout the recruitment process to support candidates who may require them.
21/06/2026
Full time
Newcastle upon Tyne, United Kingdom Posted on 17/06/2026 Scrumconnect Consulting is a leading digital transformation consultancy delivering innovative, user-centred technology solutions across the public and private sectors. We specialise in helping organisations build scalable, secure, and accessible digital services by combining agile delivery, engineering excellence, and collaborative ways of working. Our multidisciplinary teams work across cloud engineering, software development, user-centred design, data, and DevOps to create impactful digital products that improve outcomes for millions of users. We foster a culture of continuous learning, innovation, and inclusion, empowering our people to deliver meaningful change while growing their careers in a supportive environment. Location: UK (Remote with occasional travel as required) Employment Type: Permanent / Contract Security Clearance: SC Clearance Required (or eligibility to obtain SC Clearance) Role Overview Scrumconnect is seeking an experienced AWS DevOps Engineer to support the delivery of large-scale digital services within a complex cloud environment. You will be responsible for building, maintaining, and optimising AWS infrastructure, deployment pipelines, and cloud operations across multiple environments. The role will involve working closely with multidisciplinary teams, including software developers, architects, testers, and delivery teams, to deliver secure, scalable, and resilient solutions. The successful candidate will have strong experience across AWS services, CI/CD pipelines, infrastructure automation, and modern application architectures comprising React front-end applications, microservices, serverless functions, and event-driven integrations. Key Responsibilities Support the setup, configuration, and management of multiple AWS environments across development, test, staging, and production. Build, maintain, and optimise CI/CD pipelines using Git-based tooling. Manage AWS infrastructure supporting a mix of React front-end applications, microservices, AWS Lambda functions, and Kafka event integrations. Support integrations involving ETL processes and Robotic Process Automation (RPA) solutions. Implement and manage secure networking patterns, including AWS Transit Gateway and PrivateLink where required. Support the deployment and management of Kong Enterprise API Gateway. Administer Multi-Factor Authentication (MFA) and AWS Identity and Access Management (IAM) roles and permissions for development teams. Ensure AWS resources are correctly tagged and managed in accordance with FinOps standards and governance requirements. Monitor system performance, availability, and reliability across environments. Collaborate with engineering teams to improve automation, deployment efficiency, and operational excellence. Troubleshoot infrastructure and deployment issues across cloud environments. Contribute to cloud security best practices and continuous improvement initiatives. Support the delivery of highly accessible digital services, ensuring front-end solutions align with WCAG 2.2 AAA accessibility standards. Strong experience designing, deploying, and supporting AWS cloud infrastructure. Experience managing multiple environments within AWS. Strong knowledge of CI/CD pipelines and Git-based workflows. Experience supporting modern application architectures, including: React front-end applications Microservices AWS Lambda functions Event-driven architectures using Kafka Experience with Infrastructure as Code (Terraform, CloudFormation, or equivalent). Strong understanding of AWS networking concepts, including Transit Gateway and PrivateLink. Experience administering IAM, MFA, and security controls. Knowledge of API management platforms such as Kong Enterprise. Experience implementing cloud governance and FinOps practices, including resource tagging standards. Strong troubleshooting and problem-solving skills. Experience working within Agile delivery teams. Experience supporting ETL pipelines and data integration solutions. Exposure to Robotic Process Automation (RPA) platforms. Experience delivering services within UK Government or highly regulated environments. Familiarity with accessibility standards, particularly WCAG 2.2. Knowledge of monitoring and observability tools such as CloudWatch, Grafana, or Prometheus. What We Offer Opportunity to work on impactful digital transformation programmes. Collaborative and supportive working environment. Exposure to modern cloud technologies and large-scale platforms. Continuous learning and professional development opportunities. Flexible working arrangements. Diversity & Inclusion At Scrumconnect, we are committed to creating an inclusive workplace where everyone can thrive. We welcome applications from individuals of all backgrounds, experiences, and perspectives and are dedicated to fostering a diverse workforce that reflects the communities we serve. We are an equal opportunities employer and actively encourage applications from underrepresented groups. Reasonable adjustments are available throughout the recruitment process to support candidates who may require them.
Salary: £? - ? per year Requirements Significant experience delivering IT products and services from requirements through to release. Proven Product Owner experience within enterprise scale cloud environments. Strong understanding of Agile delivery methodologies, including Scrum. Experience managing product backlogs, roadmaps, and stakeholder engagement. Knowledge of cloud hosting technologies and cloud operating models. Understanding of cloud integration concepts and enterprise architecture principles. Experience working within secure, regulated, or mission critical environments. Strong communication skills with the ability to present complex technical concepts to non technical audiences. Demonstrable experience working with senior business and technical stakeholders. Knowledge of cloud security, governance, compliance, and risk management. Active Security Clearance is required. Defence, aerospace, government, or other highly regulated industry experience is desirable. Experience with hybrid and multi cloud environments is desirable. Knowledge of cloud financial management (FinOps) is desirable. Understanding of service catalogues and cloud governance frameworks is desirable. Familiarity with SQL, Python, or related technologies is desirable. Previous line management or leadership experience is desirable. Responsibilities Define and own the Cloud Hosting product vision, strategy, and roadmap. Engage with business and technical stakeholders to gather requirements and translate them into product features, epics, and user stories. Manage and prioritise the product backlog based on business value, dependencies, risk, and delivery capacity. Lead delivery of secure, scalable, and resilient cloud hosting solutions. Act as the primary liaison between business stakeholders and technical delivery teams. Ensure cloud platform services meet security, compliance, governance, and operational requirements. Monitor and improve product performance through appropriate KPIs and metrics. Champion customer experience, self service capabilities, and continuous improvement. Support architects and engineering teams in shaping integrated cloud platform solutions. Manage risks, issues, and escalations relating to cloud hosting services. Align product delivery with wider technology and portfolio objectives. Stay informed of emerging cloud technologies and industry best practices, advising stakeholders accordingly. Establish and mature the Cloud Hosting product function, including vision, strategy, governance, and backlog management. Deliver regular product increments and measurable business value. Ensure all product activities align with organisational standards, policies, and regulatory requirements. Drive adoption of cloud hosting capabilities across the wider business. Technologies ARM Cloud Support Product Owner Python SQL Security DevOps More We are recruiting for a 6 month SC Cleared Product Owner - Cloud Hosting role within a major programme in the Defence and Aerospace sector. This is a hybrid position based in Reading, with 2 3 days per week onsite, and it is inside IR35 at £88 per hour. We are seeking an experienced professional to help define and mature our Cloud Hosting product function, working closely with business stakeholders, architects, engineering teams, and senior leadership to deliver secure, scalable, and resilient cloud services. ARM is a specialist talent acquisition and management consultancy supporting technical recruitment across critical industries.
21/06/2026
Full time
Salary: £? - ? per year Requirements Significant experience delivering IT products and services from requirements through to release. Proven Product Owner experience within enterprise scale cloud environments. Strong understanding of Agile delivery methodologies, including Scrum. Experience managing product backlogs, roadmaps, and stakeholder engagement. Knowledge of cloud hosting technologies and cloud operating models. Understanding of cloud integration concepts and enterprise architecture principles. Experience working within secure, regulated, or mission critical environments. Strong communication skills with the ability to present complex technical concepts to non technical audiences. Demonstrable experience working with senior business and technical stakeholders. Knowledge of cloud security, governance, compliance, and risk management. Active Security Clearance is required. Defence, aerospace, government, or other highly regulated industry experience is desirable. Experience with hybrid and multi cloud environments is desirable. Knowledge of cloud financial management (FinOps) is desirable. Understanding of service catalogues and cloud governance frameworks is desirable. Familiarity with SQL, Python, or related technologies is desirable. Previous line management or leadership experience is desirable. Responsibilities Define and own the Cloud Hosting product vision, strategy, and roadmap. Engage with business and technical stakeholders to gather requirements and translate them into product features, epics, and user stories. Manage and prioritise the product backlog based on business value, dependencies, risk, and delivery capacity. Lead delivery of secure, scalable, and resilient cloud hosting solutions. Act as the primary liaison between business stakeholders and technical delivery teams. Ensure cloud platform services meet security, compliance, governance, and operational requirements. Monitor and improve product performance through appropriate KPIs and metrics. Champion customer experience, self service capabilities, and continuous improvement. Support architects and engineering teams in shaping integrated cloud platform solutions. Manage risks, issues, and escalations relating to cloud hosting services. Align product delivery with wider technology and portfolio objectives. Stay informed of emerging cloud technologies and industry best practices, advising stakeholders accordingly. Establish and mature the Cloud Hosting product function, including vision, strategy, governance, and backlog management. Deliver regular product increments and measurable business value. Ensure all product activities align with organisational standards, policies, and regulatory requirements. Drive adoption of cloud hosting capabilities across the wider business. Technologies ARM Cloud Support Product Owner Python SQL Security DevOps More We are recruiting for a 6 month SC Cleared Product Owner - Cloud Hosting role within a major programme in the Defence and Aerospace sector. This is a hybrid position based in Reading, with 2 3 days per week onsite, and it is inside IR35 at £88 per hour. We are seeking an experienced professional to help define and mature our Cloud Hosting product function, working closely with business stakeholders, architects, engineering teams, and senior leadership to deliver secure, scalable, and resilient cloud services. ARM is a specialist talent acquisition and management consultancy supporting technical recruitment across critical industries.
Salary: £? - ? per year Requirements Active SC Clearance (current and transferable) is mandatory. Proven experience as a Product Owner, Product Manager, or similar role within Defence, Aerospace, or secure government environments. Strong experience delivering cloud hosting platforms and cloud-based services. Demonstrable experience managing the full product lifecycle from requirements gathering through to release and continuous improvement. Strong understanding of Agile delivery methodologies, including Scrum. Experience managing and prioritising product backlogs and roadmaps. Strong stakeholder management skills with the ability to engage senior business and technical audiences. Understanding of cloud integration, platform services, and enterprise-scale cloud environments. Experience working with security, compliance, and governance requirements within regulated environments. Strong communication and presentation skills, with the ability to explain complex technical concepts to non-technical stakeholders. Experience with AWS, Azure, or Google Cloud Platform is desirable. Knowledge of hybrid and multi-cloud strategies is desirable. Understanding of cloud governance, FinOps, and service catalogues is desirable. Familiarity with SQL, Python, or other development technologies is desirable. Experience managing medium-sized technical delivery teams is desirable. Knowledge of enterprise architecture frameworks and cloud transformation programmes is desirable. AWS, Azure, or GCP Professional Certifications are desirable. ITIL Foundation is desirable. CISSP or equivalent security certification is desirable. TOGAF is desirable. Bachelors Degree in Computer Science or a related discipline is desirable. Strong commercial awareness. Excellent analytical and problem-solving skills. Ability to operate effectively in complex stakeholder environments. Passion for delivering customer-focused technology solutions. Strong leadership and influencing skills. Ability to thrive in fast paced, mission critical programmes. Responsibilities Define and own our Cloud Hosting product vision, strategy, and roadmap. Collaborate with business and technical stakeholders to gather and prioritise requirements. Translate business needs into Epics, Features, and User Stories. Manage and prioritise our product backlog, balancing business value, dependencies, and team capacity. Lead delivery of cloud hosting platform enhancements and new product increments. Ensure our cloud solutions are secure, compliant, resilient, and aligned with organisational standards. Act as the Voice of the Customer, driving an excellent user experience and self service capabilities. Monitor and improve product performance, delivery velocity, and operational effectiveness. Support platform engineering teams with testing, validation, and acceptance activities. Manage cloud related risks, compliance requirements, and security considerations. Work closely with Solution Architects and delivery teams to ensure successful end to end solution delivery. Provide guidance on emerging cloud technologies, industry best practices, and innovation opportunities. Technologies AWS Azure Cloud GCP Support ITIL Product Manager Product Owner Python SQL Security TOGAF DevOps More We are seeking an experienced Product Owner with a strong background in Cloud Hosting, Defence, and secure technology environments to join a major aerospace and defence programme. This is an excellent opportunity to bridge business and technical teams, drive cloud platform strategy, and deliver secure, scalable cloud hosting solutions within highly regulated environments. The role is based in Reading on a hybrid basis, with three days onsite per week, and offers an initial six month contract with the potential for rolling extension. The rate is £80-£84 per hour inside IR35. Active MOD SC clearance is required, and candidates must be eligible to work onsite in Reading three days per week. last updated 25 week of 2026
21/06/2026
Full time
Salary: £? - ? per year Requirements Active SC Clearance (current and transferable) is mandatory. Proven experience as a Product Owner, Product Manager, or similar role within Defence, Aerospace, or secure government environments. Strong experience delivering cloud hosting platforms and cloud-based services. Demonstrable experience managing the full product lifecycle from requirements gathering through to release and continuous improvement. Strong understanding of Agile delivery methodologies, including Scrum. Experience managing and prioritising product backlogs and roadmaps. Strong stakeholder management skills with the ability to engage senior business and technical audiences. Understanding of cloud integration, platform services, and enterprise-scale cloud environments. Experience working with security, compliance, and governance requirements within regulated environments. Strong communication and presentation skills, with the ability to explain complex technical concepts to non-technical stakeholders. Experience with AWS, Azure, or Google Cloud Platform is desirable. Knowledge of hybrid and multi-cloud strategies is desirable. Understanding of cloud governance, FinOps, and service catalogues is desirable. Familiarity with SQL, Python, or other development technologies is desirable. Experience managing medium-sized technical delivery teams is desirable. Knowledge of enterprise architecture frameworks and cloud transformation programmes is desirable. AWS, Azure, or GCP Professional Certifications are desirable. ITIL Foundation is desirable. CISSP or equivalent security certification is desirable. TOGAF is desirable. Bachelors Degree in Computer Science or a related discipline is desirable. Strong commercial awareness. Excellent analytical and problem-solving skills. Ability to operate effectively in complex stakeholder environments. Passion for delivering customer-focused technology solutions. Strong leadership and influencing skills. Ability to thrive in fast paced, mission critical programmes. Responsibilities Define and own our Cloud Hosting product vision, strategy, and roadmap. Collaborate with business and technical stakeholders to gather and prioritise requirements. Translate business needs into Epics, Features, and User Stories. Manage and prioritise our product backlog, balancing business value, dependencies, and team capacity. Lead delivery of cloud hosting platform enhancements and new product increments. Ensure our cloud solutions are secure, compliant, resilient, and aligned with organisational standards. Act as the Voice of the Customer, driving an excellent user experience and self service capabilities. Monitor and improve product performance, delivery velocity, and operational effectiveness. Support platform engineering teams with testing, validation, and acceptance activities. Manage cloud related risks, compliance requirements, and security considerations. Work closely with Solution Architects and delivery teams to ensure successful end to end solution delivery. Provide guidance on emerging cloud technologies, industry best practices, and innovation opportunities. Technologies AWS Azure Cloud GCP Support ITIL Product Manager Product Owner Python SQL Security TOGAF DevOps More We are seeking an experienced Product Owner with a strong background in Cloud Hosting, Defence, and secure technology environments to join a major aerospace and defence programme. This is an excellent opportunity to bridge business and technical teams, drive cloud platform strategy, and deliver secure, scalable cloud hosting solutions within highly regulated environments. The role is based in Reading on a hybrid basis, with three days onsite per week, and offers an initial six month contract with the potential for rolling extension. The rate is £80-£84 per hour inside IR35. Active MOD SC clearance is required, and candidates must be eligible to work onsite in Reading three days per week. last updated 25 week of 2026
Working type: Hybrid (once a week in City Centre office) Contract Terms: 12 months Min (Role can also be on a perm basis) Contract inside IR35. We are looking for an experienced Cloud Engineer for a FinOps Lead job. You will join our DevSec Ops platform team, focusing on bringing proficient cloud cost optimisation to our customers. This role combines deep cloud financial management expertise with hands-on technical knowledge to optimise costs, streamline operations and ensure successful client onboarding. You will serve as the FinOps operations expert embedded within our technical team, facilitating cost optimisation initiatives while maintaining security and compliance standards. Some of the required experience we are looking for include: 5+ years of experience in cloud financial management, with at least 3 years focused on AWS Proven track record of achieving significant cost savings in an enterprise AWS environment Robust knowledge of cloud architecture principles and IaC Proficiency with FinOps tools like AWS Cost Explorer, CloudWatch, and other third-party tools Deep knowledge of AWS pricing structures across compute, storage, networking, and database services Experience with automation and scripting tools such as Python or Bash Experience implementing tagging strategies and cost allocation frameworks Awareness of financial concepts, including TCO, ROI and budget forecasting FinOps Certified Practitioner (FOCP), or willingness to obtain within 6 months AWS Certified Solutions Architect or similar certification Masters Degree in a related field Experience with IaC tools like Terraform or CloudFormation Background in DevSecOps or platform engineering Experience with Kubernetes and container cost optimisation Have a proactive approach to identifying and addressing cost optimisation opportunities Customer-focused mindset with experience in client-facing roles Collaborate with architects to design cost-efficient, scalable solutions Evaluate and recommend optimal AWS service selections based on cost-performance analysis Analyse and optimise compute and storage costs across existing tenant environments, implementing cost allocation strategies and chargeback models when necessary Create automated cost anomaly detection and alerting mechanisms Create customised cost optimisation strategies based on client workload patterns Maintain a deep comprehension of AWS pricing models, including Reserved Instances, Savings Plans, Spot Instances, and volume discounts Stay current with AWS pricing changes and new service offerings Define and implement other FinOps best practices and governance policies
19/06/2026
Full time
Working type: Hybrid (once a week in City Centre office) Contract Terms: 12 months Min (Role can also be on a perm basis) Contract inside IR35. We are looking for an experienced Cloud Engineer for a FinOps Lead job. You will join our DevSec Ops platform team, focusing on bringing proficient cloud cost optimisation to our customers. This role combines deep cloud financial management expertise with hands-on technical knowledge to optimise costs, streamline operations and ensure successful client onboarding. You will serve as the FinOps operations expert embedded within our technical team, facilitating cost optimisation initiatives while maintaining security and compliance standards. Some of the required experience we are looking for include: 5+ years of experience in cloud financial management, with at least 3 years focused on AWS Proven track record of achieving significant cost savings in an enterprise AWS environment Robust knowledge of cloud architecture principles and IaC Proficiency with FinOps tools like AWS Cost Explorer, CloudWatch, and other third-party tools Deep knowledge of AWS pricing structures across compute, storage, networking, and database services Experience with automation and scripting tools such as Python or Bash Experience implementing tagging strategies and cost allocation frameworks Awareness of financial concepts, including TCO, ROI and budget forecasting FinOps Certified Practitioner (FOCP), or willingness to obtain within 6 months AWS Certified Solutions Architect or similar certification Masters Degree in a related field Experience with IaC tools like Terraform or CloudFormation Background in DevSecOps or platform engineering Experience with Kubernetes and container cost optimisation Have a proactive approach to identifying and addressing cost optimisation opportunities Customer-focused mindset with experience in client-facing roles Collaborate with architects to design cost-efficient, scalable solutions Evaluate and recommend optimal AWS service selections based on cost-performance analysis Analyse and optimise compute and storage costs across existing tenant environments, implementing cost allocation strategies and chargeback models when necessary Create automated cost anomaly detection and alerting mechanisms Create customised cost optimisation strategies based on client workload patterns Maintain a deep comprehension of AWS pricing models, including Reserved Instances, Savings Plans, Spot Instances, and volume discounts Stay current with AWS pricing changes and new service offerings Define and implement other FinOps best practices and governance policies
Join us at Barclays as a Public Cloud Network Lead, to architect, implement and operate enterprise grade multi cloud network infrastructure at scale for Barclays. This role sits within our GTIS Public Cloud team as the Subject Matter Expert (SME) for cloud networking across AWS, Azure, and GCP - responsible for designing secure, high performance hybrid and multi cloud architectures connecting thousands of cloud accounts across global regions to Barclays' on premises infrastructure. This is a hands on technical role balanced with strategic planning and stakeholder influence. As a senior individual contributor, you will work horizontally across GTIS Networks, SRE, DevOps, Product, and senior leadership to deliver strategic initiatives and resolve complex technical debt - mentoring engineers and serving as the escalation point for critical network incidents. Key Skills Multi Cloud Network Architecture & Hybrid Connectivity - Lead enterprise scale network design across AWS, Azure, and GCP, delivering hybrid connectivity, encrypted interconnects (MACsec/IPsec), circuit provider management, and legacy infrastructure remediation through Infrastructure as Code. Network Security & Compliance - Implement Zero Trust segmentation, deploy cloud native firewall controls, and ensure compliance with PCI DSS, DORA, and internal governance frameworks. Strategic Planning, Consultancy & Stakeholder Engagement - Define cloud network strategy, evaluate emerging technologies, produce ADRs and HLD/LLD designs, lead Landing Zone design, and influence senior stakeholders on risk, strategy, and cost optimisation. Operational Excellence & Incident Response - Own incident escalation, SLA/SLO monitoring, flow analysis, and SRE enablement to drive network operational excellence. Automation, IaC & DevOps Practices - Build reusable Terraform, CloudFormation, and Bicep IaC with CI/CD pipelines and Python/Bash automation for standardised network provisioning. Desirable Skills Cloud & Network Certifications - Professional/expert level cloud certifications (AWS Certified Advanced Networking - Specialty, Azure Network Engineer Associate, Google Cloud Professional Cloud Network Engineer) and traditional networking certifications (CCNP Enterprise/Security, JNCIA/JNCIS). Kubernetes Networking & Service Mesh - Experience with Kubernetes networking (EKS, AKS, GKE), service mesh technologies (Istio/Linkerd), and CNI plugins (Calico, Cilium). FinOps & Cloud Cost Optimisation - Knowledge of FinOps principles, cloud cost attribution, and optimisation strategies. Zero Trust & Secure Connectivity Tooling - Familiarity with Zero Trust architecture tooling including Cisco Secure Workload (Tetration) and SD WAN/SASE solutions (Zscaler). Advanced Networking & NetDevOps - Experience with HPC networking, RDMA, and low latency workload requirements, combined with understanding of API driven network management and NetDevOps practices. This role is based in London You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job specific technical skills. Purpose of the role To build and maintain infrastructure platforms and products that support applications and data systems, using hardware, software, networks, and cloud computing platforms as required with the aim of ensuring that the infrastructure is reliable, scalable, and secure. Ensure the reliability, availability, and scalability of the systems, platforms, and technology through the application of software engineering techniques, automation, and best practices in incident response. Accountabilities Build Engineering: Development, delivery, and maintenance of high quality infrastructure solutions to fulfil business requirements ensuring measurable reliability, performance, availability, and ease of use. Including the identification of the appropriate technologies and solutions to meet business, optimisation, and resourcing requirements. Incident Management: Monitoring of IT infrastructure and system performance to measure, address, resolve any potential issues, vulnerabilities, and outages, using data to drive down mean time to resolution. Automation: Development and implementation of automated tasks and processes to improve efficiency and reduce manual intervention, utilising software scripting/coding disciplines. Security: Implementation of a secure configuration and measures to protect infrastructure against cyber attacks, vulnerabilities, and other security threats, including protection of hardware, software, and data from unauthorised access. Teamwork: Cross functional collaboration with product managers, architects, and other engineers to define IT Infrastructure requirements, devise solutions, and ensure seamless integration and alignment with business objectives via a data driven approach. Learning: Stay informed of industry technology trends and innovations, and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.
19/06/2026
Full time
Join us at Barclays as a Public Cloud Network Lead, to architect, implement and operate enterprise grade multi cloud network infrastructure at scale for Barclays. This role sits within our GTIS Public Cloud team as the Subject Matter Expert (SME) for cloud networking across AWS, Azure, and GCP - responsible for designing secure, high performance hybrid and multi cloud architectures connecting thousands of cloud accounts across global regions to Barclays' on premises infrastructure. This is a hands on technical role balanced with strategic planning and stakeholder influence. As a senior individual contributor, you will work horizontally across GTIS Networks, SRE, DevOps, Product, and senior leadership to deliver strategic initiatives and resolve complex technical debt - mentoring engineers and serving as the escalation point for critical network incidents. Key Skills Multi Cloud Network Architecture & Hybrid Connectivity - Lead enterprise scale network design across AWS, Azure, and GCP, delivering hybrid connectivity, encrypted interconnects (MACsec/IPsec), circuit provider management, and legacy infrastructure remediation through Infrastructure as Code. Network Security & Compliance - Implement Zero Trust segmentation, deploy cloud native firewall controls, and ensure compliance with PCI DSS, DORA, and internal governance frameworks. Strategic Planning, Consultancy & Stakeholder Engagement - Define cloud network strategy, evaluate emerging technologies, produce ADRs and HLD/LLD designs, lead Landing Zone design, and influence senior stakeholders on risk, strategy, and cost optimisation. Operational Excellence & Incident Response - Own incident escalation, SLA/SLO monitoring, flow analysis, and SRE enablement to drive network operational excellence. Automation, IaC & DevOps Practices - Build reusable Terraform, CloudFormation, and Bicep IaC with CI/CD pipelines and Python/Bash automation for standardised network provisioning. Desirable Skills Cloud & Network Certifications - Professional/expert level cloud certifications (AWS Certified Advanced Networking - Specialty, Azure Network Engineer Associate, Google Cloud Professional Cloud Network Engineer) and traditional networking certifications (CCNP Enterprise/Security, JNCIA/JNCIS). Kubernetes Networking & Service Mesh - Experience with Kubernetes networking (EKS, AKS, GKE), service mesh technologies (Istio/Linkerd), and CNI plugins (Calico, Cilium). FinOps & Cloud Cost Optimisation - Knowledge of FinOps principles, cloud cost attribution, and optimisation strategies. Zero Trust & Secure Connectivity Tooling - Familiarity with Zero Trust architecture tooling including Cisco Secure Workload (Tetration) and SD WAN/SASE solutions (Zscaler). Advanced Networking & NetDevOps - Experience with HPC networking, RDMA, and low latency workload requirements, combined with understanding of API driven network management and NetDevOps practices. This role is based in London You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job specific technical skills. Purpose of the role To build and maintain infrastructure platforms and products that support applications and data systems, using hardware, software, networks, and cloud computing platforms as required with the aim of ensuring that the infrastructure is reliable, scalable, and secure. Ensure the reliability, availability, and scalability of the systems, platforms, and technology through the application of software engineering techniques, automation, and best practices in incident response. Accountabilities Build Engineering: Development, delivery, and maintenance of high quality infrastructure solutions to fulfil business requirements ensuring measurable reliability, performance, availability, and ease of use. Including the identification of the appropriate technologies and solutions to meet business, optimisation, and resourcing requirements. Incident Management: Monitoring of IT infrastructure and system performance to measure, address, resolve any potential issues, vulnerabilities, and outages, using data to drive down mean time to resolution. Automation: Development and implementation of automated tasks and processes to improve efficiency and reduce manual intervention, utilising software scripting/coding disciplines. Security: Implementation of a secure configuration and measures to protect infrastructure against cyber attacks, vulnerabilities, and other security threats, including protection of hardware, software, and data from unauthorised access. Teamwork: Cross functional collaboration with product managers, architects, and other engineers to define IT Infrastructure requirements, devise solutions, and ensure seamless integration and alignment with business objectives via a data driven approach. Learning: Stay informed of industry technology trends and innovations, and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.
Location: UK (Glasgow or Remote, with regular travel to Glasgow HQ) At IES, we value People, Purpose and Innovation. We offer a flexible and supportive working environment and the opportunity to work with a team of friendly, interesting and diverse people from across the globe who are passionate about what we do. For over 30 years, we have built a solid reputation as the leading global innovator in integrated performance-based analysis and are now home to the most advanced building physics analytics team in the world. Our software solutions and expert consultancy services empower designers, engineers, building owners and operators to deliver more efficient, resilient and sustainable buildings through design, retrofit and operation. The Role We are seeking an experienced and forward-thinking Head of IT, DevOps & AI to lead the evolution of IES's global technology estate. This is a senior leadership role combining enterprise IT, modern DevOps practice, cloud transformation and emerging AI capabilities. You will define and deliver technology strategy, modernise infrastructure and platforms, mature DevOps practices, and embed AI as a core enabler across the organisation. The role will play a critical part in transitioning IES away from traditional on-premise infrastructure, establishing a fully cloud-based, secure and scalable environment, and supporting our ambition to become an AI-first organisation. What You'll Do Define and execute an integrated IT, DevOps and AI strategy aligned to IES's business objectives Lead the transition from legacy data centre infrastructure to a modern, multi-cloud environment Own and develop enterprise-wide AI strategy, including governance, compliance and responsible AI practices Lead global IT operations, including ITSM, service desk, resilience, disaster recovery and monitoring Embed DevOps best practice across engineering teams, championing automation, CI/CD and cloud-native delivery Oversee architecture and platforms across infrastructure, cloud, networks and AI systems Ensure cyber security, risk management and secure-by-design principles are embedded across all services Build, lead and develop high-performing teams across IT, DevOps, Cloud and AI Partner closely with Product, Engineering and senior leadership to influence and deliver technology direction Manage key vendors, budgets and FinOps practices to ensure commercial and operational efficiency Skills & Experience Senior leadership experience (C-suite -1 level) across IT, DevOps, Cloud and AI Strong experience leading large-scale cloud migrations and operating multi-cloud environments Deep expertise in DevOps practices including CI/CD, infrastructure automation and cloud-native architectures Proficiency in Azure DevOps with experience migrating to GitHub Strong scripting and automation experience (Python, Bash, Terraform) Solid background in Linux administration, containerisation and orchestration technologies Proven experience leading cyber security, risk management and compliance (including ISO standards and Cyber Essentials Plus) Experience establishing and governing AI platforms, data engineering foundations and AI tooling at scale Excellent stakeholder management and communication skills, with the ability to influence at senior levels Nice to Have Experience operating in highly regulated or security-conscious environments Exposure to AI observability, explainability and responsible AI tooling Experience supporting predominantly remote or hybrid workforces at scale Background working within software, technology or climate tech organisations Why Join Us Lead a critical technology transformation at a globally respected climate tech organisation Shape how AI, cloud and DevOps capabilities are embedded across the business Work alongside world-class experts across software, engineering and consultancy High-impact leadership role with strategic visibility and autonomy Values-driven organisation with a strong sense of purpose Competitive salary, benefits and flexible working options Our Commitment to Inclusion IES is committed to an inclusive workplace and welcomes applications from all backgrounds, even if you don't meet every requirement listed. We can provide reasonable adjustments throughout the recruitment process, for example, sharing interview questions in advance, allowing breaks between stages, or offering extra time where needed. If you require support at any point, please contact the IES HR team at or . To apply for the role please send a covering letter stating the skills you have fromthe requirements listed and an up to date CV to: Early application is encouraged and IES reserves the right to close this vacancyearly should sufficient applications be received.
18/06/2026
Full time
Location: UK (Glasgow or Remote, with regular travel to Glasgow HQ) At IES, we value People, Purpose and Innovation. We offer a flexible and supportive working environment and the opportunity to work with a team of friendly, interesting and diverse people from across the globe who are passionate about what we do. For over 30 years, we have built a solid reputation as the leading global innovator in integrated performance-based analysis and are now home to the most advanced building physics analytics team in the world. Our software solutions and expert consultancy services empower designers, engineers, building owners and operators to deliver more efficient, resilient and sustainable buildings through design, retrofit and operation. The Role We are seeking an experienced and forward-thinking Head of IT, DevOps & AI to lead the evolution of IES's global technology estate. This is a senior leadership role combining enterprise IT, modern DevOps practice, cloud transformation and emerging AI capabilities. You will define and deliver technology strategy, modernise infrastructure and platforms, mature DevOps practices, and embed AI as a core enabler across the organisation. The role will play a critical part in transitioning IES away from traditional on-premise infrastructure, establishing a fully cloud-based, secure and scalable environment, and supporting our ambition to become an AI-first organisation. What You'll Do Define and execute an integrated IT, DevOps and AI strategy aligned to IES's business objectives Lead the transition from legacy data centre infrastructure to a modern, multi-cloud environment Own and develop enterprise-wide AI strategy, including governance, compliance and responsible AI practices Lead global IT operations, including ITSM, service desk, resilience, disaster recovery and monitoring Embed DevOps best practice across engineering teams, championing automation, CI/CD and cloud-native delivery Oversee architecture and platforms across infrastructure, cloud, networks and AI systems Ensure cyber security, risk management and secure-by-design principles are embedded across all services Build, lead and develop high-performing teams across IT, DevOps, Cloud and AI Partner closely with Product, Engineering and senior leadership to influence and deliver technology direction Manage key vendors, budgets and FinOps practices to ensure commercial and operational efficiency Skills & Experience Senior leadership experience (C-suite -1 level) across IT, DevOps, Cloud and AI Strong experience leading large-scale cloud migrations and operating multi-cloud environments Deep expertise in DevOps practices including CI/CD, infrastructure automation and cloud-native architectures Proficiency in Azure DevOps with experience migrating to GitHub Strong scripting and automation experience (Python, Bash, Terraform) Solid background in Linux administration, containerisation and orchestration technologies Proven experience leading cyber security, risk management and compliance (including ISO standards and Cyber Essentials Plus) Experience establishing and governing AI platforms, data engineering foundations and AI tooling at scale Excellent stakeholder management and communication skills, with the ability to influence at senior levels Nice to Have Experience operating in highly regulated or security-conscious environments Exposure to AI observability, explainability and responsible AI tooling Experience supporting predominantly remote or hybrid workforces at scale Background working within software, technology or climate tech organisations Why Join Us Lead a critical technology transformation at a globally respected climate tech organisation Shape how AI, cloud and DevOps capabilities are embedded across the business Work alongside world-class experts across software, engineering and consultancy High-impact leadership role with strategic visibility and autonomy Values-driven organisation with a strong sense of purpose Competitive salary, benefits and flexible working options Our Commitment to Inclusion IES is committed to an inclusive workplace and welcomes applications from all backgrounds, even if you don't meet every requirement listed. We can provide reasonable adjustments throughout the recruitment process, for example, sharing interview questions in advance, allowing breaks between stages, or offering extra time where needed. If you require support at any point, please contact the IES HR team at or . To apply for the role please send a covering letter stating the skills you have fromthe requirements listed and an up to date CV to: Early application is encouraged and IES reserves the right to close this vacancyearly should sufficient applications be received.
About the Role This role focuses on designing, building, and operating secure, scalable cloud infrastructure to support data platforms across AWS, Databricks, and Snowflake. You will work closely with engineering and security teams to enable reliable, observable, and cost efficient systems. The position plays a key role in improving platform performance, resilience, and operational excellence. Responsibilities Design, build, and manage cloud infrastructure using Infrastructure as Code with consistent, auditable environments Operate and enhance observability using Grafana, including dashboards, alerts, and noise reduction Implement and validate backup and disaster recovery processes, ensuring readiness and alignment to RPO/RTO Troubleshoot incidents across infrastructure and data platforms, leading root cause analysis and mitigation Optimize performance and cost through usage analysis, rightsizing, and architectural improvements Collaborate with security teams to enforce encryption, access controls, and compliance standards Maintain clear operational documentation, runbooks, and knowledge sharing Support platform reliability and continuous improvement across AWS, Databricks, and Snowflake ecosystems Requirements Strong AWS fundamentals including networking (VPC, subnets, routing), compute (EC2, EKS/ECS, Lambda), and storage (S3 architecture, lifecycle, replication) Expertise in identity and security including IAM (least privilege, cross account), KMS, secrets management, encryption, and logging practices Experience supporting Databricks (clusters, networking, IAM, performance tuning) and Snowflake (connectivity, authentication, data movement) Knowledge of backup and disaster recovery tools such as Clumio, with experience in retention policies and restore validation Experience with observability tools including Grafana, alerting, and handling logs, metrics, and traces Proficiency in Infrastructure as Code using Terraform or CloudFormation, including CI/CD pipelines and environment promotion Reliability engineering experience including scaling, fault tolerance, SLOs, capacity planning, and distributed system troubleshooting Aware of cost and security practices including FinOps optimization, secure by design principles, and compliance tooling Benefits We know your well being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. EEO Statement We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.
18/06/2026
Full time
About the Role This role focuses on designing, building, and operating secure, scalable cloud infrastructure to support data platforms across AWS, Databricks, and Snowflake. You will work closely with engineering and security teams to enable reliable, observable, and cost efficient systems. The position plays a key role in improving platform performance, resilience, and operational excellence. Responsibilities Design, build, and manage cloud infrastructure using Infrastructure as Code with consistent, auditable environments Operate and enhance observability using Grafana, including dashboards, alerts, and noise reduction Implement and validate backup and disaster recovery processes, ensuring readiness and alignment to RPO/RTO Troubleshoot incidents across infrastructure and data platforms, leading root cause analysis and mitigation Optimize performance and cost through usage analysis, rightsizing, and architectural improvements Collaborate with security teams to enforce encryption, access controls, and compliance standards Maintain clear operational documentation, runbooks, and knowledge sharing Support platform reliability and continuous improvement across AWS, Databricks, and Snowflake ecosystems Requirements Strong AWS fundamentals including networking (VPC, subnets, routing), compute (EC2, EKS/ECS, Lambda), and storage (S3 architecture, lifecycle, replication) Expertise in identity and security including IAM (least privilege, cross account), KMS, secrets management, encryption, and logging practices Experience supporting Databricks (clusters, networking, IAM, performance tuning) and Snowflake (connectivity, authentication, data movement) Knowledge of backup and disaster recovery tools such as Clumio, with experience in retention policies and restore validation Experience with observability tools including Grafana, alerting, and handling logs, metrics, and traces Proficiency in Infrastructure as Code using Terraform or CloudFormation, including CI/CD pipelines and environment promotion Reliability engineering experience including scaling, fault tolerance, SLOs, capacity planning, and distributed system troubleshooting Aware of cost and security practices including FinOps optimization, secure by design principles, and compliance tooling Benefits We know your well being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. EEO Statement We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.
Senior Software Engineer IApplylocations: Londontime type: Full timeposted on: Posted Todayjob requisition id: R112596Are you passionate about building reliable, secure cloud platforms that power critical data solutions?Do you enjoy solving complex infrastructure challenges while improving performance, resilience, and cost efficiency? About the Business: At Cirium, our goal is to keep the world connected. We are the industry leader in aviation analytics; helping our customers understand the past, present, and predicting what will happen tomorrow. Our mission is to transform the aviation industry by enabling airlines, airports, travel companies, tech giants, aircraft manufacturers, financial institutions and many more accelerate their own digital transformation. You can learn more about Cirium at the link below. About the Role This role focuses on designing, building, and operating secure, scalable cloud infrastructure to support data platforms across AWS, Databricks, and Snowflake. You will work closely with engineering and security teams to enable reliable, observable, and cost-efficient systems. The position plays a key role in improving platform performance, resilience, and operational excellence. Responsibilities Design, build, and manage cloud infrastructure using Infrastructure as Code with consistent, auditable environments Operate and enhance observability using Grafana, including dashboards, alerts, and noise reduction Implement and validate backup and disaster recovery processes, ensuring readiness and alignment to RPO/RTO Troubleshoot incidents across infrastructure and data platforms, leading root cause analysis and mitigation Optimize performance and cost through usage analysis, rightsizing, and architectural improvements Collaborate with security teams to enforce encryption, access controls, and compliance standards Maintain clear operational documentation, runbooks, and knowledge sharing Support platform reliability and continuous improvement across AWS, Databricks, and Snowflake ecosystems Requirements Strong AWS fundamentals including networking (VPC, subnets, routing), compute (EC2, EKS/ECS, Lambda), and storage (S3 architecture, lifecycle, replication) Expertise in identity and security including IAM (least privilege, cross-account), KMS, secrets management, encryption, and logging practices Experience supporting Databricks (clusters, networking, IAM, performance tuning) and Snowflake (connectivity, authentication, data movement) Knowledge of backup and disaster recovery tools such as Clumio, with experience in retention policies and restore validation Experience with observability tools including Grafana, alerting, and handling logs, metrics, and traces Proficiency in Infrastructure as Code using Terraform or CloudFormation, including CI/CD pipelines and environment promotion Reliability engineering experience including scaling, fault tolerance, SLOs, capacity planning, and distributed system troubleshooting Awareness of cost and security practices including FinOps optimization, secure-by-design principles, and compliance toolingLearn more about the LexisNexis Risk team and how we work here We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights. About Us Cirium offers aviation and air travel data and analytics to help keep the world in motion. Our people are at the center of who we are and what we do. We put the interests of our customers unmistakably first, we are empowered by the trust we earn from each other and our customers, we share a common global vision for Cirium based diversity, inclusion and collaboration and our passion for discovery will transform industries. Our team delivers insight, built from decades of experience in the sector, enabling travel companies, aircraft manufacturers, airports, airlines and financial institutions, among others, to make logical and informed decisions which shape the future of travel, growing revenues and enhancing customer experiences. Cirium has 12 offices globally with over 480 employees and is part of RELX PLC, a global provider of information-based analytics and decision tools for professional and business customers with over 30,000 employees.
18/06/2026
Full time
Senior Software Engineer IApplylocations: Londontime type: Full timeposted on: Posted Todayjob requisition id: R112596Are you passionate about building reliable, secure cloud platforms that power critical data solutions?Do you enjoy solving complex infrastructure challenges while improving performance, resilience, and cost efficiency? About the Business: At Cirium, our goal is to keep the world connected. We are the industry leader in aviation analytics; helping our customers understand the past, present, and predicting what will happen tomorrow. Our mission is to transform the aviation industry by enabling airlines, airports, travel companies, tech giants, aircraft manufacturers, financial institutions and many more accelerate their own digital transformation. You can learn more about Cirium at the link below. About the Role This role focuses on designing, building, and operating secure, scalable cloud infrastructure to support data platforms across AWS, Databricks, and Snowflake. You will work closely with engineering and security teams to enable reliable, observable, and cost-efficient systems. The position plays a key role in improving platform performance, resilience, and operational excellence. Responsibilities Design, build, and manage cloud infrastructure using Infrastructure as Code with consistent, auditable environments Operate and enhance observability using Grafana, including dashboards, alerts, and noise reduction Implement and validate backup and disaster recovery processes, ensuring readiness and alignment to RPO/RTO Troubleshoot incidents across infrastructure and data platforms, leading root cause analysis and mitigation Optimize performance and cost through usage analysis, rightsizing, and architectural improvements Collaborate with security teams to enforce encryption, access controls, and compliance standards Maintain clear operational documentation, runbooks, and knowledge sharing Support platform reliability and continuous improvement across AWS, Databricks, and Snowflake ecosystems Requirements Strong AWS fundamentals including networking (VPC, subnets, routing), compute (EC2, EKS/ECS, Lambda), and storage (S3 architecture, lifecycle, replication) Expertise in identity and security including IAM (least privilege, cross-account), KMS, secrets management, encryption, and logging practices Experience supporting Databricks (clusters, networking, IAM, performance tuning) and Snowflake (connectivity, authentication, data movement) Knowledge of backup and disaster recovery tools such as Clumio, with experience in retention policies and restore validation Experience with observability tools including Grafana, alerting, and handling logs, metrics, and traces Proficiency in Infrastructure as Code using Terraform or CloudFormation, including CI/CD pipelines and environment promotion Reliability engineering experience including scaling, fault tolerance, SLOs, capacity planning, and distributed system troubleshooting Awareness of cost and security practices including FinOps optimization, secure-by-design principles, and compliance toolingLearn more about the LexisNexis Risk team and how we work here We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights. About Us Cirium offers aviation and air travel data and analytics to help keep the world in motion. Our people are at the center of who we are and what we do. We put the interests of our customers unmistakably first, we are empowered by the trust we earn from each other and our customers, we share a common global vision for Cirium based diversity, inclusion and collaboration and our passion for discovery will transform industries. Our team delivers insight, built from decades of experience in the sector, enabling travel companies, aircraft manufacturers, airports, airlines and financial institutions, among others, to make logical and informed decisions which shape the future of travel, growing revenues and enhancing customer experiences. Cirium has 12 offices globally with over 480 employees and is part of RELX PLC, a global provider of information-based analytics and decision tools for professional and business customers with over 30,000 employees.
Role: Technical Lead - Fullstack Rate: £500 Duration: 6 months Start Date: Early April Location: London On site requirement: 2dpw in London - City of London Office Who We Are: AND Digital are a tech company focused on accelerating digital delivery and dedicated to closing the digital skills gap. We've been helping organisations build better digital products and stronger digital teams since 2014. We believe our work should always make a remarkable impact for our clients. We do this through our regional offices (or 'Clubs') building strong relationships with our partners, so that they are always prioritised by a team within close proximity. This unique model has driven success for our clients and ourselves, evidenced by our remarkable organic growth since 2014. Today we number more than 1,300 people with Clubs all over the UK, Europe and the USA with plans for global expansion in the next couple of years. Join us - and help us fulfil our mission to close the world's digital skills gap. Role: We are seeking a Technical lead (hands on Architect and Engineering Leader) to lead on a complex modernisation programme. Your Leadership & Influence: Technology Engineering Leadership: You have a proven track record of leading complex software engineering engagements. You excel at navigating enterprise scale problem solving, turning technical challenges into opportunities. Stakeholder Management: You are a master of client facing delivery. You can translate complex architectures into tangible business value. Hands on Mindset: You are comfortable leading engagements from the front. You bring a bias for technical delivery and are ready to roll up your sleeves when it matters, helping teams succeed. Your Strategic Mindset: Quality Advocate: You take personal pride in the integrity of your work. You champion quality assurance, security, and performance as a mindset - ensuring the solutions we build for clients are robust, reliable, and respected. Industry Stewardship: You are a lifelong learner who keeps a pulse on industry standards, emerging software engineering patterns, platforms, and best practices. Your Technical Fluency: You lead by example. While your primary focus is client delivery, you maintain the technical depth required to guide work end to end from initial architecture through to production and operational run. Engineering: Full stack experience across several languages & data including; Java and React. An advanced understanding of engineering practices such as pair programming, TDD, security by design, observability, resiliency and disaster recovery, AI use in development with tools like CoPilot/Claude, and a general shift left approach. Cloud Experience: You possess expertise across the Microsoft Azure and Google Cloud ecosystem, adopting cloud native approaches like serverless and event driven architectures, and managing diverse Platform as a Service (PaaS) and Infrastructure as a Service (IaaS) workloads. Your approach is strongly guided by the Cloud Adoption Framework (CAF) and the Well Architected Framework (WAF). DevOps Practices: You are fluent in CI/CD, infrastructure as code, and container orchestration, with hands on experience across a broad technology range. Security & Governance: You understand Zero Trust architecture principles and have practical experience with compliance, FinOps, observability, BCDR, monitoring, logging, and SIEM. Architecture Design: You produce clear, considered architectural documentation, HLDs, LLDs, ADRs, and can lead solutions workshops, articulating complex ideas confidently to both technical and non technical stakeholders. Certifications: Hold, or be willing to achieve, relevant solutions focused certifications (e.g. Microsoft Certified: Azure Solutions Architect Expert, or similar). Equal Opportunities Statement We are an equal opportunity employer and welcome applications from all qualified candidates. We actively encourage applications from women, ethnic minorities, and individuals with disabilities. We consider all flexible working arrangements, subject to the requirements of the role. Where reasonable adjustments are needed, we will strive to make changes to accommodate them.
16/06/2026
Full time
Role: Technical Lead - Fullstack Rate: £500 Duration: 6 months Start Date: Early April Location: London On site requirement: 2dpw in London - City of London Office Who We Are: AND Digital are a tech company focused on accelerating digital delivery and dedicated to closing the digital skills gap. We've been helping organisations build better digital products and stronger digital teams since 2014. We believe our work should always make a remarkable impact for our clients. We do this through our regional offices (or 'Clubs') building strong relationships with our partners, so that they are always prioritised by a team within close proximity. This unique model has driven success for our clients and ourselves, evidenced by our remarkable organic growth since 2014. Today we number more than 1,300 people with Clubs all over the UK, Europe and the USA with plans for global expansion in the next couple of years. Join us - and help us fulfil our mission to close the world's digital skills gap. Role: We are seeking a Technical lead (hands on Architect and Engineering Leader) to lead on a complex modernisation programme. Your Leadership & Influence: Technology Engineering Leadership: You have a proven track record of leading complex software engineering engagements. You excel at navigating enterprise scale problem solving, turning technical challenges into opportunities. Stakeholder Management: You are a master of client facing delivery. You can translate complex architectures into tangible business value. Hands on Mindset: You are comfortable leading engagements from the front. You bring a bias for technical delivery and are ready to roll up your sleeves when it matters, helping teams succeed. Your Strategic Mindset: Quality Advocate: You take personal pride in the integrity of your work. You champion quality assurance, security, and performance as a mindset - ensuring the solutions we build for clients are robust, reliable, and respected. Industry Stewardship: You are a lifelong learner who keeps a pulse on industry standards, emerging software engineering patterns, platforms, and best practices. Your Technical Fluency: You lead by example. While your primary focus is client delivery, you maintain the technical depth required to guide work end to end from initial architecture through to production and operational run. Engineering: Full stack experience across several languages & data including; Java and React. An advanced understanding of engineering practices such as pair programming, TDD, security by design, observability, resiliency and disaster recovery, AI use in development with tools like CoPilot/Claude, and a general shift left approach. Cloud Experience: You possess expertise across the Microsoft Azure and Google Cloud ecosystem, adopting cloud native approaches like serverless and event driven architectures, and managing diverse Platform as a Service (PaaS) and Infrastructure as a Service (IaaS) workloads. Your approach is strongly guided by the Cloud Adoption Framework (CAF) and the Well Architected Framework (WAF). DevOps Practices: You are fluent in CI/CD, infrastructure as code, and container orchestration, with hands on experience across a broad technology range. Security & Governance: You understand Zero Trust architecture principles and have practical experience with compliance, FinOps, observability, BCDR, monitoring, logging, and SIEM. Architecture Design: You produce clear, considered architectural documentation, HLDs, LLDs, ADRs, and can lead solutions workshops, articulating complex ideas confidently to both technical and non technical stakeholders. Certifications: Hold, or be willing to achieve, relevant solutions focused certifications (e.g. Microsoft Certified: Azure Solutions Architect Expert, or similar). Equal Opportunities Statement We are an equal opportunity employer and welcome applications from all qualified candidates. We actively encourage applications from women, ethnic minorities, and individuals with disabilities. We consider all flexible working arrangements, subject to the requirements of the role. Where reasonable adjustments are needed, we will strive to make changes to accommodate them.
