301 to 325 of 610 Cloud Native Jobs in London

Engineering, or equivalent experience. Desirable: Copado Compliance Hub and Robotic Testing experience. Retail or e-commerce background. Experience with containerisation (Docker), orchestration (Kubernetes), and cloud-native architectures. Relevant certifications (e.g. Copado Consultant, DevOps Engineer). What’s in It for You Salary: Up to £107,500 Bonus: 12.5 More ❯

part of their high-performing engineering team, you’ll play a vital role in shaping, evolving, and optimising the DevOps function in a modern, cloud-native environment. The roadmap ahead is ambitious, and you’ll have the autonomy and backing to influence it. You’ll be working across More ❯

Experience working with Kafka and Domain Driven Design. Experience with designing low latency, reliable (fault tolerant), scalable, secure, and cost-effective solutions on a cloud native platform. Experience with Relational and Nonrelational databases/integrating with third party services. Ability to read and review code, paired programming, and More ❯

strategy, user experience, and technical feasibility, making sure we steer our product roadmap towards success. Work with Modern Tech. Omnea is fully built on cloud-native and serverless technologies. Our primary stack is based on Typescript with React & Material UI, Postgres, Hasura and AWS Serverless Technologies such as More ❯

all of this, but if you do, that's great! Java, which makes up the majority of our backend codebase AWS & GCP - we're cloud-native Microservice based architecture Kubernetes (EKS) TeamCity for CI/CD (lots of teams are releasing code 15-20 times per day!) Terraform More ❯

preferred. You should have a minimum of 7 years' experience in solutions design & development, digital enterprise architecture, application design & development, platforms, databases, Integration and cloud platforms. The Open Group Architecture Framework (TOGAF) Open Group Open Certified Architect (Open CA) or any other relevant Architecture certification is desired. You must … be able to demonstrate a solid understanding of the latest digital technologies including Artificial Intelligence, blockchain, IoT, data science and analytics, cloud computing, Integration, DB technologies (relational, timeseries) etc. Experience in designing and deploying solutions in cloud-native enterprise applications in public, private and hybrid cloud More ❯

to-market approach. Training and enabling partner sales and technical teams on Snyk's platform and best practices in DevSecOps, open-source security, and cloud security. Building strong relationships with technical and executive leaders, serving as a trusted advisor for Channel, GSI, Technology, and Cloud partners. Providing technical … alliances, or partner-focused SE roles within enterprise software, DevSecOps, or developer tooling. A strong technical foundation in software development, DevOps, application security, and cloud technologies. Experience engaging with Channel, GSIs, Technology, and Cloud partners, guiding them through technical enablement, product integrations, and co-selling strategies. Ability to … complex technical concepts into business value for both technical and non-technical stakeholders. A deep understanding of software security best practices, DevSecOps methodologies, and cloud-native architectures. Excellent presentation and communication skills, with experience delivering technical workshops, demos, and training. A self-starter mentality, able to take ownership More ❯

processes around our databases. We are currently involved in several types of systems migrations, within both the scope of on-prem to AWS/cloud-native migrations, as well as on-prem data centers to alternate AWS-based data center migrations. As a Principal Software Engineer/DBA … to proactively detect and address potential issues, ensuring optimal performance and reliability, in environments like on-prem Prometheus/Thanos, as well as Grafana Cloud and Loki. Database Management: Manage hundreds of on-prem PostgreSQL databases, including performance tuning, backups, disaster recovery strategies, and their active/passive counterparts More ❯

tools to monitor, report and control data pipelines Identify, design, and implement internal process improvements: automating manual processes, optimising data delivery, etc. Work with cloud-based infrastructure (GCP) for ingesting data into our warehouse Collaborate with other full stack developers and data engineers to help meet the business goals … all of this, but if you do, that's great! Java, which makes up the majority of our backend codebase AWS & GCP - we're cloud-native Microservice based architecture Kubernetes (EKS) TeamCity for CI/CD (lots of teams are releasing code 15-20 times per day!) Terraform … focused on the engineering required to maintain and warehouse a wide variety of data sources used across the bank. The technology we use is cloud based, primarily GCP. Experience with some or all of the services below would put you at the top of our list Google Cloud More ❯

AWS Cloud Engineer (Windows, Terraform) - Software - Remote Day rate: £400 - £600 (inside IR35) Duration: 4 months Start: ASAP My client is looking for an AWS Cloud Engineer with strong experience in Windows environments and Infrastructure as Code to join our software team on a 4-month fully remote … Responsibilities: Design, build, and maintain scalable infrastructure on AWS Automate infrastructure deployment and configuration using Terraform Manage and support Windows Server instances in the cloud Develop and maintain PowerShell scripts for automation and administrative tasks Administer and troubleshoot Active Directory in a hybrid or cloud-native environment … Salary: £400 - £600 per day Salary per: day Job Duration: 4 months Job Start Date: 05/05/2025 Job Industries: DevOps and Cloud Jobs Job Locations: Greater London Job Types: Contract More ❯

Openings) Industry - IT Services Work type - Permanent Main Responsibilities as an Integration Architect Develop and maintain integration architectures across hybrid, on-premises, and multi-cloud environments. Drive microservices and event-driven architecture design patterns, container orchestration (e.g., Kubernetes, Docker), and cloud-native best practices. Leading iPaaS solutions … . Expertise designing and implementing event-driven systems using tools like Apache Kafka, RabbitMQ, Amazon EventBridge, Azure Event Grid, or Google Pub/Sub. Cloud Hyperscalers: Practical experience with AWS, Azure, and GCP. Leading iPaaS Tools: Proficiency in Boomi, SnapLogic, Workato, or Azure Integration Services. Hands-on implementation of More ❯

architectural roadmap for a modern data platform. This is a strategic and hands-on role, ideal for someone who thrives at the intersection of cloud, data, and AI innovation. Key Responsibilities Data Architecture Design : Define scalable, secure, and cost-effective architectures for enterprise-wide data platforms Strategic Leadership : Partner … with the CDO to shape data governance, compliance, and long-term strategy Cloud & AI/ML Enablement : Lead adoption of cloud-native tools and AI/ML solutions, with a focus on Azure services Modern Stack Implementation : Champion best practices using Snowflake, dbt, and related technologies Cross … groups Innovation Mindset : Stay current with GenAI, LLM applications, and emerging trends in enterprise data Essential Experience Enterprise architecture experience in data engineering or cloud platforms Proficiency in Snowflake , dbt , and Azure AI/ML services Strong data modeling and data warehousing capabilities Familiarity with event-driven, serverless, and More ❯

architectural roadmap for a modern data platform. This is a strategic and hands-on role, ideal for someone who thrives at the intersection of cloud, data, and AI innovation. Key Responsibilities Data Architecture Design : Define scalable, secure, and cost-effective architectures for enterprise-wide data platforms Strategic Leadership : Partner … with the CDO to shape data governance, compliance, and long-term strategy Cloud & AI/ML Enablement : Lead adoption of cloud-native tools and AI/ML solutions, with a focus on Azure services Modern Stack Implementation : Champion best practices using Snowflake, dbt, and related technologies Cross … groups Innovation Mindset : Stay current with GenAI, LLM applications, and emerging trends in enterprise data Essential Experience Enterprise architecture experience in data engineering or cloud platforms Proficiency in Snowflake , dbt , and Azure AI/ML services Strong data modeling and data warehousing capabilities Familiarity with event-driven, serverless, and More ❯

Create and manage robust CI/CD pipelines tailored for ML use cases Infrastructure & Monitoring Deploy containerised services using Docker and Kubernetes, optimised for cloud deployment (Azure preferred). Implement model and pipeline monitoring using tools such as Prometheus, Grafana, or Datadog, ensuring performance and observability. Collaborate with DevOps … Participate in architectural decisions for LLMOps and NLP-driven components of the platform. Stay engaged with the latest developments in model orchestration, LLMOps, and cloud-native ML infrastructure. Ensure the security of systems, data, and people by following company security policies, reporting vulnerabilities, and maintaining a secure work … ML models into production, ideally in real-time or SaaS environments. Familiarity with Airflow, MLflow, and modern MLOps/LLMOps tooling. Practical experience with cloud platforms, preferably Microsoft Azure. Strong problem-solving skills, attention to detail, and the willingness to get things done. Excellent collaboration and communication skills; comfortable More ❯

Define the structure, flow and integration of data products within the business. Work with Product Managers to translate business requirements into technical solutions. Leverage cloud services to build scalable data products. Ensure event-driven architectures and microservices patterns are followed. Ensure all data products adhere to governance, compliance and … designing and implementing data architecture within complex organisations. Expertise in modern data architectures I.E data lakes and warehouses. Hands on experience with Databricks and Cloud services (Azure, GCP OR AWS). Experience in using cloud-native services for data engineering and analytics. Experience with distributed systems, serverless More ❯

Define the structure, flow and integration of data products within the business. Work with Product Managers to translate business requirements into technical solutions. Leverage cloud services to build scalable data products. Ensure event-driven architectures and microservices patterns are followed. Ensure all data products adhere to governance, compliance and … designing and implementing data architecture within complex organisations. Expertise in modern data architectures I.E data lakes and warehouses. Hands on experience with Databricks and Cloud services (Azure, GCP OR AWS). Experience in using cloud-native services for data engineering and analytics. Experience with distributed systems, serverless More ❯

developments in vulnerability management, security standards, and regulations Strong engineering and automation background with a keen interest in Vulnerability Management Strong technical knowledge, including: Cloud Experience (AWS, GCP) Kubernetes and Container experience Infrastructure as code (Terraform) Dashboard creation, front-end experience Proficiency with at least one programming language (ideally … or more of the Vulnerability Management fields would be desirable but not essential: Endpoint Vulnerability Scanning, Vulnerability Intelligence, AppSec Vulnerability Management, Vulnerability Management of cloud native workloads, External Attack Surface Management Familiar with with TypeScript/Vue.js Open source scanning tool such as Trivy or similar SQL database More ❯

and manage a squad of 5 data & analytics engineers. Define technical standards and drive excellence in engineering practices. Architect and oversee the development of cloud-native data infrastructure and pipelines using Databricks , Python , PySpark , and Delta Lake . Guide the implementation of embedded analytics, headless APIs, and real … Tables . Experience designing and delivering scalable data pipelines and streaming data processing (e.g., Kafka , AWS Kinesis , or Azure Stream Analytics ). Background in cloud environments such as AWS , Azure , or GCP . Familiarity with DevOps tools: Terraform , GitHub , CI/CD pipelines. Exposure to embedded analytics or building More ❯

and manage a squad of 5 data & analytics engineers. Define technical standards and drive excellence in engineering practices. Architect and oversee the development of cloud-native data infrastructure and pipelines using Databricks , Python , PySpark , and Delta Lake . Guide the implementation of embedded analytics, headless APIs, and real … Tables . Experience designing and delivering scalable data pipelines and streaming data processing (e.g., Kafka , AWS Kinesis , or Azure Stream Analytics ). Background in cloud environments such as AWS , Azure , or GCP . Familiarity with DevOps tools: Terraform , GitHub , CI/CD pipelines. Exposure to embedded analytics or building More ❯

engineers to develop our cutting-edge product, Frontier . Working within the core Platform, this role will require a mix of backend services and cloud infrastructure related work to develop Frontier - our next generation Decision Intelligence AI platform. As we continue to expand our platform's reach, you'll … Intelligence. What you will be doing: Collaborating with other Engineers in the team, developing and implementing AI-driven software solutions built on a modern, cloud native architecture. Developing high quality, production-ready code primarily in Python Making some contributions to our simulation engine, written in Rust. Helping define More ❯

delivered Form hypotheses on the technical approaches to diverse problems Prove/Disprove those hypotheses by defining and delivering experimental spikes (involving use of cloud native services and bespoke code) Define technical tasks and estimate implementation effort Ultimately, present enough evidence to allow decisions on the future approach … new things, potentially even legacy techs. Be very comfortable with back-end dev in the java platform and test via Bruno. Experience in AWS native services (Lambda etc.) is highly desirable Be experienced in agile software development using product centric delivery. Hands on experience of technical planning, task breakdown More ❯

delivered Form hypotheses on the technical approaches to diverse problems Prove/Disprove those hypotheses by defining and delivering experimental spikes (involving use of cloud native services and bespoke code) Define technical tasks and estimate implementation effort Ultimately, present enough evidence to allow decisions on the future approach … new things, potentially even legacy techs. Be very comfortable with back-end dev in the java platform and test via Bruno. Experience in AWS native services (Lambda etc.) is highly desirable Be experienced in agile software development using product centric delivery. Hands on experience of technical planning, task breakdown More ❯

delivered Form hypotheses on the technical approaches to diverse problems Prove/Disprove those hypotheses by defining and delivering experimental spikes (involving use of cloud native services and bespoke code) Define technical tasks and estimate implementation effort Ultimately, present enough evidence to allow decisions on the future approach … new things, potentially even legacy techs. Be very comfortable with back-end dev in the java platform and test via Bruno. Experience in AWS native services (Lambda etc.) is highly desirable Be experienced in agile software development using product centric delivery. Hands on experience of technical planning, task breakdown More ❯

arrive at the right time. To deliver this, and much more, we build scalable and resilient systems, using a modern tech stack that includes: Cloud-native and distributed systems development in AWS Microservices and event-driven architectures in Typescript and Python CI/CD, IaC and a strong … functionally with product, design, and business stakeholders. Optimising performance, security, and system resilience at scale. Scalable DevOps practices, including CI/CD pipelines and cloud infrastructure (AWS, GCP, or similar). Operationalising agentic AI and integrating AI-driven tooling into production systems. Don't worry about ticking every box More ❯

practices and security frameworks (e.g., NIST, ISO 27001, CIS). Develop and maintain secure architectural patterns and standards, with a solid working knowledge of cloud security (AWS, Azure, GCP). Apply risk-based and threat-based approaches to evaluate and recommend appropriate and proportionate security technologies and solutions (e.g. … overviews. Document security design principles and provide rationale. Ensure designs align with business objectives, security policies, and industry best practices, with a focus on cloud-native security considerations. Risk and Threat Management: Conduct comprehensive risk assessments and threat modelling, providing detailed analysis and actionable recommendations. Advise clients on … the SDLC. Security Policy and Standards Implementation: Advise on the development and implementation of security policies, standards, and procedures, and support their enforcement, including cloud-specific policies. Conduct security compliance assessments and audits, and assist in addressing any gaps, providing recommendations for remediation. Support alignment with relevant security frameworks More ❯