601 to 625 of 1,024 Cloud Native Jobs in London

componentsAdditional Preferred Qualifications:Experience with enterprise observability and AIOps platforms such as ServiceNow ITOM, Splunk, Dynatrace, Datadog, BigPanda, New Relic, or similar platforms.Familiarity with cloud-native platforms, Container orchestration systems, distributed systems, service mapping, and telemetry standards.Experience defining KPIs, SLOs, product adoption measures, and operational maturity frameworks … enterprise reliability and service performance.Relevant certifications in product management, cloud, ITSM, observability, Agile, or platform engineering are a plus.What’s In It For You Our Mission: Advancing Essential Intelligence.Our People:We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad ...

leadership to improve security culture. Highly Desirable Experience applying AI within secure software development. Experience securing AI-assisted development workflows. Cybersecurity software, SaaS or cloud-native product experience. Modern DevSecOps, cloud security and security automation experience. This Role Probably Isn't For You If... Your background … Security Engineering, Product Security, Product Security Lead, Security Engineering Manager, Application Security, DevSecOps, Secure SDLC, Secure by Design, Threat Modelling, Security Architecture, Developer Enablement, Cloud Security, AI Security, Security Automation, Cyber Security. ...

leadership to improve security culture. Highly Desirable Experience applying AI within secure software development. Experience securing AI-assisted development workflows. Cybersecurity software, SaaS or cloud-native product experience. Modern DevSecOps, cloud security and security automation experience. This Role Probably Isn't For You If... Your background … Security Engineering, Product Security, Product Security Lead, Security Engineering Manager, Application Security, DevSecOps, Secure SDLC, Secure by Design, Threat Modelling, Security Architecture, Developer Enablement, Cloud Security, AI Security, Security Automation, Cyber Security. ...

high-stakes operational puzzles and mentoring talented engineers, this is your next destination. Your Impact Set the Technical Direction: Define the architecture for scalable, cloud-native, and mobile-first systems across a global airport network. The position combines hands-on software engineering with practical squad leadership, focusing … essential to align technical delivery with business priorities. The position requires strong engineering fundamentals, experience with modern practices (CI/CD, automated testing, cloud), and mentoring skills. AI-assisted development tools are to be integrated into the squad’s workflow. Success is measured by predictable, high-quality software delivery ...

ProServe Cloud Architect, TMEGS-ISV-UKI-ProServe Job ID: 10493147 | AWS EMEA SARL (UK Branch) AWS Professional Services is looking for a Senior ProServe Cloud Architect to partner with UK&I customers in TMEGS and ISV segment, on defining and executing data and AI transformation programmes. This … Experience with data strategy frameworks including maturity models, operating model design, data product thinking, and governance - Knowledge of modern data and AI platforms including cloud-native analytics, lakehouse, ML platforms, and GenAI tooling - Experience leading or contributing to large-scale professional services or consulting engagements ...

London (Hybrid) - Databricks - Spark - PySpark - AWS - Up to £115,000 + Bonus Our client, a large-scale organisation undergoing significant investment in data and cloud technologies, is seeking an experienced Senior Databricks Architect to join its expanding Data & AI practice. This is an exciting opportunity to play … role in large-scale data transformation programmes, helping enterprise organisations modernise legacy platforms and build cloud-native data solutions. You'll be responsible for designing and delivering scalable data architectures, enabling advanced analytics, real-time data processing and modern data product delivery. Working within a highly skilled ...

publishers and platforms monetize their businesses. Our technology is where the world's leading brands find audiences across online video, connected television, display and native ads. Brand and enterprise customers choose us because of our innovative solutions, premium formats, and supportive experts dedicated to maximizing their performance. As part … protect our advertising platforms and the trust our publishers and advertisers place in us. In this position, you will partner closely with Engineering, Platform, Cloud Infrastructure, and Security teams to shape secure coding practices, application security tooling, vulnerability remediation, and CI/CD security, ensuring security is embedded into ...

tested user-focused features.Skills and QualificationsEssential:Hands-on experience deploying and scaling inference frameworks (e.g., KServe, Seldon) within Kubernetes, including a strong understanding of cloud-native ML lifecycle management.Strong programming skills and a "reliability-first" approach to software development.Experience developing, operating, and debugging large-scale distributed systems, with … throughput architectures.Understanding of modern infrastructure and DevOps practices (Infrastructure as Code, CI/CD pipelines, and comprehensive observability).Nice to Have:Experience with Google Cloud Platform (GCP).Familiarity with workload scheduling, ML efficiency research, and hardware benchmarking.Familiarity with GPU-aware infrastructure and specialized inference servers (e.g. Triton, TF Serving ...

powered over 185M deployments, 82M builds, 18T flag evaluations, 8M security scans, 9.1B optimized tests, 3T protected API calls, and helped manage $2.8B in cloud spend — enabling customers like United Airlines, Morningstar, and Choice Hotels to accelerate releases by up to 75%, reduce cloud costs … veteran. About You 5+ years of experience in a technical sales, professional services, solutions consulting, or customer‐facing role within the software delivery, DevOps, cloud, or developer tooling ecosystem. 5+ years of experience as a manager or technical lead for teams in software engineering, devops software delivery, DevOps, cloud ...

business growth. Job Summary As a Lead Software Engineer at JPMorgan Chase within the Payments team, you will develop technical solutions for a fully cloud‐based payments application, focusing on high performance and low latency. You will build new payment flows end to end, from understanding business requirements … agile methodologies, including CI/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (such as cloud, artificial intelligence, machine learning, or mobile) Knowledge of the financial services industry, IT systems, and practical cloud‐native experience Preferred Qualifications, Capabilities ...

developing engineering teams, fostering a high‐performance culture. Solid technical background with hands‐on experience in modern software development (e.g. Python, Java, microservices, cloud‐native technologies). Proven ability to design and deliver scalable, resilient platforms in complex, business‐critical environments. Strong stakeholder management skills, able to work … Markets or knowledge of structured products/structured notes. Familiarity with workflow orchestration tools (e.g. Camunda) or event‐driven architectures. Exposure to containerisation and cloud platforms (e.g. OpenShift, Kubernetes). Benefits of working at Bank of America Private healthcare for you and your family plus an annual health screen. ...

business growth. Job Summary As a Lead Software Engineer at JPMorgan Chase within the Payments team, you will develop technical solutions for a fully cloud-based payments application, focusing on high performance and low latency. You will build new payment flows end to end, from understanding business requirements … agile methodologies, including CI/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (such as cloud, artificial intelligence, machine learning, or mobile) Knowledge of the financial services industry, IT systems, and practical cloud-native experience Preferred Qualifications, Capabilities ...

scheduling, service communication, ingress, egress, DNS, certificates, and cluster‐level security. Operate and debug production Kubernetes environments across GCP, on‐premise, bare‐metal, sovereign cloud, air‐gapped, and customer‐managed deployments. Work on multi‐cluster Kubernetes environments, cluster networking, network policy, service mesh, and secure service‐to‐service communication. … especially Terraform, Argo CD, Helm, or Kustomize. Experience building reliable infrastructure for production environments where uptime, security, and operational clarity matter. Comfortable working across cloud, on‐premise, bare‐metal, restricted, or customer‐managed environments. Strong operational judgement, especially around reliability, resilience, failure domains, and production risk. Strong ownership mindset. ...

Design and implement production‐level ML and AI workloads, including end‐to‐end pipelines, training/inference optimization, MLOps lifecycle management, and integration with cloud‐native services. GenAI Leadership: Serve as a practitioner for enterprise GenAI solutions, specializing in RAG architectures, agentic systems (including tool‐calling, multi‐agent … Experience: 10+ years of hands‐on industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production‐grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques ...

agile methodologies, including CI/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile) In‐depth knowledge of the financial services industry and IT systems Practical cloud native experience Preferred Qualifications, Capabilities ...

understanding of agile methodologies, including CI/CD, Application Resiliency, and SecurityDemonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile)In-depth knowledge of the financial services industry and IT systemsPractical cloud native experiencePreferred Qualifications, Capabilities ...

software engineering concepts and advanced applied experience Hands‐on practical experience delivering system design, application development, testing and operational stability Demonstrable strength in a cloud based engineering environment Advanced Python - additional programming languages a plus Demonstrated experience leading effective use of approved AI‐assisted software development tools (e.g. … agile methodologies such as CI/CD, Application Resiliency, and Security In‐depth knowledge of the financial services industry and their IT systems Practical cloud native experience #J-18808-Ljbffr ...

SRG. As a rapidly expanding international insurance group operating across the UK, Europe, Australia and Asia, we're investing heavily in a modern, cloud-native technology environment built around Microsoft technologies, automation and security-by-design. Reporting directly to the CTO, you'll take ownership of our Infrastructure … Cyber Security pillar, shaping the cloud platform, security strategy, identity architecture and operational controls that underpin the entire organisation. This is a rare opportunity to combine strategic ownership with hands-on engineering. You'll influence technology direction at executive level whilst remaining close to the technology itself. This role ...

Design and implement production-level ML and AI workloads, including end‐to‐end pipelines, training/inference optimization, MLOps lifecycle management, and integration with cloud‐native services. GenAI Leadership: Serve as a practitioner for enterprise GenAI solutions, specializing in RAG architectures, agentic systems (including tool‐calling, multi‐agent … Experience: 10+ years of hands‐on industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production‐grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques ...

Design and implement production-level ML and AI workloads, including end-to-end pipelines, training/inference optimization, MLOps lifecycle management, and integration with cloud-native services. GenAI Leadership: Serve as a practitioner for enterprise GenAI solutions, specializing in RAG architectures, agentic systems (including tool‐calling, multi‐agent … Experience: 10+ years of hands‐on industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques ...

Design and implement production-level ML and AI workloads, including end-to-end pipelines, training/inference optimization, MLOps lifecycle management, and integration with cloud-native services. GenAI Leadership: Serve as a practitioner for enterprise GenAI solutions, specializing in RAG architectures, agentic systems (including tool-calling, multi-agent … Experience: 10+ years of hands-on industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques ...

data solutions from requirements through implementation, including technical documentation and architecture blueprints Lead complex data migration projects from legacy systems to modern cloud-native platforms Evaluate and recommend appropriate technologies across the modern data stack to meet specific client needs Mentor junior team members and collaborate with data … normalised Star Schema/dimensional models Excellent relational database design skills with expertise in diagnosing and optimising performance across SQL Server, PostgreSQL, and cloud databases Proven track record with complex data migration projects (terabyte+ datasets, multiple legacy source systems, structures and unstructured data) Proficiency with Parquet/Delta Lake ...

roadmap, you will identify high‐value use cases and deliver production‐grade solutions — from predictive people models to intelligent data applications — using our cloud‐native stack. Advanced analytics: Conduct analyses that go beyond what happened to explain why and anticipate what comes next. Partner with the People Analytics … data analyst or analytics engineer in a team with established data engineering practices Strong SQL, with hands‐on experience in BigQuery or a comparable cloud data warehouse Experience building and maintaining data pipelines with dbt or a comparable transformation tool Experience building dashboards and data products ...

following lists. You should have: 3+ years of experience building or scaling internal developer platforms or sophisticated CI/CD ecosystems Deep understanding of cloud-native primitives (Compute, Networking, Storage) and the ability to implement them across different providers or hybrid environments Proven ability to manage container orchestration … enterprise level, including backup/restore and high-availability strategies Proven experience migrating workloads between platforms (e.g., EC2 to EKS, or cross-cloud) with a focus on data integrity and minimal downtime Ability to implement standardized telemetry pipelines (e.g., OpenTelemetry, Prometheus, or ELK) that provide developers with ...

data acquisition and feature engineering through to deployment and optimisation Developing scalable ML pipelines and engineering frameworks AI model training, evaluation, optimisation and deployment Cloud-native AI and data platforms across Azure, AWS and GCP MLOps tools and best practices for deployment, monitoring and governance Structured and unstructured … Scikit-learn or similar frameworks Strong understanding of machine learning algorithms, deep learning architectures and model deployment practices Experience with Azure, AWS or GCP cloud environments Knowledge of data engineering principles including ETL processes, data pipelines and automated workflows Experience working with structured and unstructured data Understanding of MLOps ...