176 to 200 of 1,158 AWS Jobs in London

the future.(1 -2 direct reports) What you can bring: Expertise in express and React ,express , node js and Typescript Experience working with oath2 (AWS Cognito or Azure AD B2C) Experience in testing using Vitest, Jest , react-testing-library Experience with react state management (preferable redux-toolkit or Zustand) and more »

to serve jobseekers better fitting jobs and recruiters better fitting talents via semantic search. We are using inhouse-tuned LLMs that we deploy on AWS together with Vector DBs to support retrieval. This exciting role will be about designing, planning and implementing systems based on LLM-inference, including advanced RAG. more »

onsite. Technical skillset: Golang Kafka Kubernetes SQL CI/CD experience with relevant tooling with Jenkins, Docker or Terraform Cloud services experience, ideally with AWS Bonus: Payments experience Python experience For more information on this role or any other contract/permanent opportunities we are working on please email your more »

like you to come to their London office on a hybrid basis, twice a week ideally but this can be flexible. Tech skills needed: * AWS/Azure * Terraform * Docker/Kubernetes * Strong security focus (ideally financial services) * API Gateway * DynamoDB * Redshift Interviews for this role will be taking place ASAP more »

Experience building REST APIs. Good knowledge of streaming technologies, preferably Kafka, both as a user of the service and its inner workings. Experience managing AWS or GCP. Experience in building or integrating Monitoring Tools (Datadog/Kibana/Grafana/Prometheus). Experience using Terraform/Docker/Kubernetes. Write more »

applications using Kubernetes and Docker and skilled in monitoring and logging systems to ensure high availability and performance. Key Responsibilities: Manage and maintain our AWS cloud infrastructure. Automate deployment processes using CI/CD pipelines. Implement and maintain monitoring and logging solutions to identify and solve infrastructure issues before they more »

experience in Python, R, TensorFlow, PyTorch or Similar Frameworks Previous Experience building Predictive Models (e.g., Research Pricing, recommendation systems) Strong background in Cloud platforms (AWS, GCP, Azure) and Containerisation (Kubernetes, Docker Proven Experience working across Data platforms (e.g. Snowflake, Databricks) Strong Stakeholder Management experience This is an exciting opportunity to more »

for a team lead for the right person) Experience in financial modeling (pricing/risk) Fixed income product knowledge Kubernetes exposure Cloud computing (ideally AWS) expertise Why Join? Exceptional comp, benefits and bonus potential Hybrid working and amazing central London office Learn from and collaborate with the best Make a more »

years of experience. Deep understanding of cloud-native operations, including containerization, microservices architecture, and DevOps practices. Experience with public cloud platforms such as AWS, Azure, or Google Cloud, as well as VMware-based private cloud environments. Strong analytical and problem-solving skills, with the ability to translate complex technical concepts more »

aspects and business goals. Bonus Skills for an Edge Experience in trading (digital assets or traditional) is a major plus. Proficiency in cloud platforms (AWS, GCP, Azure) and containerization (Docker) is a game-changer. Familiarity with caching technologies (Redis) and messaging/streaming tech (Kafka, RabbitMQ) will set you apart. more »

industry, with a minimum of X years of experience. Extensive knowledge of public and private cloud technologies and solutions, including but not limited to AWS, Azure, Google Cloud Platform, and VMware. Strong understanding of cloud-native operations, including containerization, microservices architecture, serverless computing, and DevOps practices. Demonstrated ability to translate more »

analysis & data manipulation using Pandas. Strong proficiency in FAST APIs for building APIs & SQL Alchmy for database interactions. Strong experience in cloud-based development (AWS). Proficiency with both Docker & Kubernetes for containerisation & orchestration. Experience working in Commodities, Trading or Financial Services markets. Experience in implementing solid software engineering practice more »

the cloud infrastructure and driving innovation as a key contributor. Key Requirements: Seasoned experience as a DevOps Engineer at a senior level. Proficiency in AWS services, demonstrating a deep understanding of cloud technologies. Proven expertise in leveraging Jenkins for CI/CD pipelines. Strong background in Docker and Kubernetes. Familiarity more »

to non-technical stakeholders. The right Data Engineer will ideally have experience working with Azure however my client are open to seeing people equally AWS/GCP. Responsibilities Designing and implementing scalable and efficient data storage solutions on Azure. Building and maintaining data pipelines to ingest, process, and transform large more »

with Pandas and data frames. Experience building APIs with FAST API and interacting with databases using SQL. Cloud-based development is ideal, particularly in AWS services. Containerisation and orchestration experience in Docker and Kubernetes. A minimum of 5 years in software development is a must, ideally within the commodities trading more »

Server, Active Directory and ideally SQL Server and/or Microsoft 365. Excellent knowledge of VMware. Working knowledge of cloud-based solutions such as AWS and Azure. Previous experience working with a variety of technology stacks for compute, storage, virtualisation and network products ideally consisting of Cisco UCS, HP Nimble more »

Qualities: Ability to communicate effectively to technical and non technical people Demonstrable experience in Python and JavaScript Nice to haves includes: SQL, Linux, Docker, AWS Your benefits as a Graduate Full Stack Engineer: Working with the best Engineers on the market Top-class, hands-on training from a fun and more »

sensitive system development, multi-threaded coding, and scalable distributed systems Familiarity with concurrency, OOP, database systems, and basic SQL Knowledge of Linux/Unix, AWS, Git, Docker, EVM, and blockchain fundamentals Apply now more »

of highly skilled consultants, delivering modern data platforms into large organisations. You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About more »

Strong analytical and problem-solving skills Excellent communication and presentation abilities Ability to work independently and as part of a team Relevant certifications (e.g., AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert) are a plus more »

professional and personal development and the opportunity to design your own path. We support a variety of external training courses and accreditations such as AWS, GCP, Azure, Cloudera to name a few and are truly passionate about our Mentor Program, through which our senior colleagues generously set aside personal time more »

you have: Financial Services industry experience Experience in distributed system design Experience with Pure/Alloy Working knowledge of open-source tools such as AWS lambda, Prometheus We’re committed to providing our people with a great environment to work in. You can expect ongoing skills-based development, career progression more »

systems, including log observability, Application Performance Monitoring (APM), infrastructure monitoring, and security. Proficient in working with Kubernetes for container orchestration and management. Experienced with AWS Cloud services and infrastructure management. Hands-on experience with Docker containerization technology. Familiarity with artifact repositories such as Nexus or Artifactory. Qualifications and Experience: Junior more »

corresponding technologies, such as Dremio, Snowflake, Iceberg, (Py)Spark/Glue/EMR, dbt and Airflow/Dagster. Experience with Cloud providers. Familiarity with AWS S3, ECS and EC2/Fargate would be considered particularly beneficial. Extensive experience with database technologies (SQL/NoSQL). Proven ability to work collaboratively more »

corresponding technologies, such as Dremio, Snowflake, Iceberg, (Py)Spark/Glue/EMR, dbt and Airflow/Dagster. Experience with Cloud providers. Familiarity with AWS S3, ECS and EC2/Fargate would be considered particularly beneficial. Extensive experience with database technologies (SQL/NoSQL). Proven ability to work collaboratively more »