501 to 525 of 925 Cloud Native Jobs in London

of other perks Your role: As a Java Developer you will join a fairly new team working on a new crypto offering to design, develop and implement high performance cloud-native backend services including owning DevOps processes to ensure systems are robust, secure and observable. You'll be working with a modern tech stack using Java, Spring Boot More ❯

the Departments of Work & Pensions and International Trade. They are looking for a motivated Java Software Developer with experience with: Java Spring Boot Microservices Containerisation using Docker, Kubernetes Developing cloud-native applications with AWS, GCP, Azure SQL, NoSQL and other tools and scripting skills As a Java Software Developer, you will enjoy fantastic benefits: Bonus Private health insurance More ❯

the Departments of Work & Pensions and International Trade. They are looking for a motivated Java Software Developer with experience with: Java Spring Boot Microservices Containerisation using Docker, Kubernetes Developing cloud-native applications with AWS, GCP, Azure SQL, NoSQL and other tools and scripting skills As a Java Software Developer, you will enjoy fantastic benefits: Bonus Private health insurance More ❯

Stay hands-on when needed: you build it, you run it. What you’ll work on Building robust ELT pipelines and data models using DBT and BigQuery. Scaling a cloud-native data platform with strong automation and monitoring. Improving data lineage, governance, reliability, and security. Enabling self-service capabilities for product and analytics teams. Shaping a modern, greenfield More ❯

Stay hands-on when needed: you build it, you run it. What you’ll work on Building robust ELT pipelines and data models using DBT and BigQuery. Scaling a cloud-native data platform with strong automation and monitoring. Improving data lineage, governance, reliability, and security. Enabling self-service capabilities for product and analytics teams. Shaping a modern, greenfield More ❯

tools using Python and LLM APIs Design end-to-end agentic and RAG-based solutions for enterprise use Own delivery from proof-of-concept through to production Work with cloud-native architectures (e.g. AWS Lambda, Step Functions) Lead and guide junior engineers within project teams Key Details Salary : £100,000–£130,000 + benefits Working model : Hybrid More ❯

tools using Python and LLM APIs Design end-to-end agentic and RAG-based solutions for enterprise use Own delivery from proof-of-concept through to production Work with cloud-native architectures (e.g. AWS Lambda, Step Functions) Lead and guide junior engineers within project teams Key Details Salary : £100,000–£130,000 + benefits Working model : Hybrid More ❯

tools using Python and LLM APIs Design end-to-end agentic and RAG-based solutions for enterprise use Own delivery from proof-of-concept through to production Work with cloud-native architectures (e.g. AWS Lambda, Step Functions) Lead and guide junior engineers within project teams Key Details Salary : £100,000–£130,000 + benefits Working model : Hybrid More ❯

tools using Python and LLM APIs Design end-to-end agentic and RAG-based solutions for enterprise use Own delivery from proof-of-concept through to production Work with cloud-native architectures (e.g. AWS Lambda, Step Functions) Lead and guide junior engineers within project teams Key Details Salary : £100,000–£130,000 + benefits Working model : Hybrid More ❯

writing clean, modular, and maintainable code Are excited to learn more about financial markets and trading systems Bonus experience: Ruby, Spark, Trino, Kafka Financial markets exposure SQL (Postgres, Oracle) Cloud-native deployments (AWS, Docker, Kubernetes) Observability tools (Splunk, Prometheus, Grafana) Why Apply? This is a fantastic opportunity to join a high-performance engineering team in a business that More ❯

writing clean, modular, and maintainable code Are excited to learn more about financial markets and trading systems Bonus experience: Ruby, Spark, Trino, Kafka Financial markets exposure SQL (Postgres, Oracle) Cloud-native deployments (AWS, Docker, Kubernetes) Observability tools (Splunk, Prometheus, Grafana) Why Apply? This is a fantastic opportunity to join a high-performance engineering team in a business that More ❯

writing clean, modular, and maintainable code Are excited to learn more about financial markets and trading systems Bonus experience: Ruby, Spark, Trino, Kafka Financial markets exposure SQL (Postgres, Oracle) Cloud-native deployments (AWS, Docker, Kubernetes) Observability tools (Splunk, Prometheus, Grafana) Why Apply? This is a fantastic opportunity to join a high-performance engineering team in a business that More ❯

writing clean, modular, and maintainable code Are excited to learn more about financial markets and trading systems Bonus experience: Ruby, Spark, Trino, Kafka Financial markets exposure SQL (Postgres, Oracle) Cloud-native deployments (AWS, Docker, Kubernetes) Observability tools (Splunk, Prometheus, Grafana) Why Apply? This is a fantastic opportunity to join a high-performance engineering team in a business that More ❯

Preferred qualifications, capabilities, and skills Knowledge and experience with Python Knowledge and experience with Data Lakehouse Platforms (e.g. Databricks) Practical experience of designing and deploying applications on AWS Practical cloud native experience ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals More ❯

experience with modern data platforms and technologies (e.g., Snowflake, Databricks, BigQuery, Azure/AWS/GCP data services). Deep knowledge of data modeling, APIs, event-driven architectures, and cloud-native data architectures. Proven ability to design and implement scalable and performant data solutions in complex environments. Experience working in cross-functional teams using agile or product-centric More ❯

experience with modern data platforms and technologies (e.g., Snowflake, Databricks, BigQuery, Azure/AWS/GCP data services). Deep knowledge of data modeling, APIs, event-driven architectures, and cloud-native data architectures. Proven ability to design and implement scalable and performant data solutions in complex environments. Experience working in cross-functional teams using agile or product-centric More ❯

experience with modern data platforms and technologies (e.g., Snowflake, Databricks, BigQuery, Azure/AWS/GCP data services). Deep knowledge of data modeling, APIs, event-driven architectures, and cloud-native data architectures. Proven ability to design and implement scalable and performant data solutions in complex environments. Experience working in cross-functional teams using agile or product-centric More ❯

Java Software Engineer An ambitious AI company on a mission to reshape how businesses harness the power of data and automation are seeking Java Developers who thrive in modern, cloud-native environments and want to make real impact. What you’ll do Design and develop high-performance microservices using Spring Boot Build scalable, cloud-based applications on More ❯

Java Software Engineer An ambitious AI company on a mission to reshape how businesses harness the power of data and automation are seeking Java Developers who thrive in modern, cloud-native environments and want to make real impact. What you’ll do Design and develop high-performance microservices using Spring Boot Build scalable, cloud-based applications on More ❯

and maintain scalable and high-performance data pipelines Ensure all systems adhere to best practices for data quality, integrity, and security Integrate modern data engineering tools and technologies into cloud-native infrastructure Develop tools and solutions to support sports data modeling, analytics, and predictive insights Collaborate with data scientists to enable end-to-end data workflows Own the … Engineering roles Advanced-level Python for data applications and high proficiency in SQL (query tuning, complex joins) Hands-on experience designing and deploying ETL/ELT pipelines using Google Cloud Dataflow (Apache Beam) or similar tools Proficiency in data architecture, data modeling, and scalable storage design Solid engineering practices: Git and CI/CD for data systems Highly Desirable … Skills GCP Stack: Hands-on expertise with BigQuery, Cloud Storage, Pub/Sub, and orchestrating workflows with Composer or Vertex Pipelines. Domain Knowledge: Understanding of sports-specific data types ( event, tracking, scouting, video ) API Development: Experience building data-centric APIs using FastAPI , especially in serverless environments (e.g., Google App Engine) Streaming Data: Familiarity with real-time data pipelines and More ❯

and maintain scalable and high-performance data pipelines Ensure all systems adhere to best practices for data quality, integrity, and security Integrate modern data engineering tools and technologies into cloud-native infrastructure Develop tools and solutions to support sports data modeling, analytics, and predictive insights Collaborate with data scientists to enable end-to-end data workflows Own the … Engineering roles Advanced-level Python for data applications and high proficiency in SQL (query tuning, complex joins) Hands-on experience designing and deploying ETL/ELT pipelines using Google Cloud Dataflow (Apache Beam) or similar tools Proficiency in data architecture, data modeling, and scalable storage design Solid engineering practices: Git and CI/CD for data systems Highly Desirable … Skills GCP Stack: Hands-on expertise with BigQuery, Cloud Storage, Pub/Sub, and orchestrating workflows with Composer or Vertex Pipelines. Domain Knowledge: Understanding of sports-specific data types ( event, tracking, scouting, video ) API Development: Experience building data-centric APIs using FastAPI , especially in serverless environments (e.g., Google App Engine) Streaming Data: Familiarity with real-time data pipelines and More ❯

and maintain scalable and high-performance data pipelines Ensure all systems adhere to best practices for data quality, integrity, and security Integrate modern data engineering tools and technologies into cloud-native infrastructure Develop tools and solutions to support sports data modeling, analytics, and predictive insights Collaborate with data scientists to enable end-to-end data workflows Own the … Engineering roles Advanced-level Python for data applications and high proficiency in SQL (query tuning, complex joins) Hands-on experience designing and deploying ETL/ELT pipelines using Google Cloud Dataflow (Apache Beam) or similar tools Proficiency in data architecture, data modeling, and scalable storage design Solid engineering practices: Git and CI/CD for data systems Highly Desirable … Skills GCP Stack: Hands-on expertise with BigQuery, Cloud Storage, Pub/Sub, and orchestrating workflows with Composer or Vertex Pipelines. Domain Knowledge: Understanding of sports-specific data types ( event, tracking, scouting, video ) API Development: Experience building data-centric APIs using FastAPI , especially in serverless environments (e.g., Google App Engine) Streaming Data: Familiarity with real-time data pipelines and More ❯

collaborative, fast-moving environment, developing scalable backend services that power large-scale digital platforms, giving you the opportunity to sharpen your technical skills while gaining broad exposure across modern cloud and data ecosystems. In this role, you’ll gain exposure to: A wide variety of projects – from greenfield builds to large-scale platform modernisation Modern technologies and cloud-native tools including Python, FastAPI, AWS, PostgreSQL, Django, Kubernetes, Terraform, and GitHub A culture that values technical excellence, continuous learning, and creative problem-solving The ideal Backend Developer – Python will have: Proven experience building and maintaining scalable backend systems using Python (any major framework) Solid knowledge of databases, OO design, data structures, and SOLID principles A proactive, analytical More ❯

collaborative, fast-moving environment, developing scalable backend services that power large-scale digital platforms, giving you the opportunity to sharpen your technical skills while gaining broad exposure across modern cloud and data ecosystems. In this role, you’ll gain exposure to: A wide variety of projects – from greenfield builds to large-scale platform modernisation Modern technologies and cloud-native tools including Python, FastAPI, AWS, PostgreSQL, Django, Kubernetes, Terraform, and GitHub A culture that values technical excellence, continuous learning, and creative problem-solving The ideal Backend Developer – Python will have: Proven experience building and maintaining scalable backend systems using Python (any major framework) Solid knowledge of databases, OO design, data structures, and SOLID principles A proactive, analytical More ❯

collaborative, fast-moving environment, developing scalable backend services that power large-scale digital platforms, giving you the opportunity to sharpen your technical skills while gaining broad exposure across modern cloud and data ecosystems. In this role, you’ll gain exposure to: A wide variety of projects – from greenfield builds to large-scale platform modernisation Modern technologies and cloud-native tools including Python, FastAPI, AWS, PostgreSQL, Django, Kubernetes, Terraform, and GitHub A culture that values technical excellence, continuous learning, and creative problem-solving The ideal Backend Developer – Python will have: Proven experience building and maintaining scalable backend systems using Python (any major framework) Solid knowledge of databases, OO design, data structures, and SOLID principles A proactive, analytical More ❯