1 to 25 of 35 Amazon S3 Jobs in London with Remote Work Options

Kubernetes/Container orchestration platform experience Designing, creating and calling HTTP APIs SQL Databases, e.g. Postgres, MySQL Experience in using AWS services - EC2, RDS, S3, Route 53, Elastic search, EKS, Cloudwatch, Cloudfront. Desirable Requirements: CI/CD pipelines setup and config Document-based/No-SQL databases The ELK more »

systems & financial market data is highly desirable. Proficiency in SQL and Timeseries databases is a must, along with familiarity with AWS cloud services like S3, EC2, and RDS. This will be a 12 month contract based in London which offers remote working options. This is an urgent position, so more »

applications. In-depth knowledge of object-oriented programming (OOP) concepts and design patterns. Solid understanding of cloud platforms like AWS and their services (e.g., S3, EC2). Hands-on experience with Docker containers and container orchestration tools (e.g., Kubernetes). Experience with Apache Kafka for real-time data streaming more »

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 You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems, services more »

a rare opportunity to profoundly influence core IT operations in a unique environment. What you will need to have: Proven capability in AWS (EC2, S3, RDS, IAM, and VPC). Solid practical exposure with Terraform would be very advantageous. Previous experience functioning in Linux/Unix server administration is more »

and regulatory space? This role might be your next challenge! Must have experience: Working in Python on AWS AWS Serverless application (Lambda, Step Functions, S3, Amazon Glue, SNS, SQS) Data products, transforming, harmonising data, messages, etc. Desired experience: Building integration solutions Experience in designing application databases Experience more »

/DevOps Engineer to join an internationally fast growing company to help develop their digital platform. Existing Tech Stack : Python, Django,Django Ninja Lambase S3 AWS with ECS, ECR, RDS,PostgreSQL, SQS, SNS Terraform Github + Actions Cloudfare The role will be working directly with the CTO and Technical more »

or higher in Mathematics, Science, Computer Science, or a related field. Expertise building enterprise scale ML & LLM solutions. Proficiency with AWS services, including SageMaker, S3, and EC2. Strong programming skills in languages such as Python, Java, or Scala. Excellent problem-solving abilities and a proactive mindset towards tackling challenges. more »

or Express.js ➡️ Excellent communication skills and a collaborative mindset ➡️ Prior experience in a startup environment is advantageous ➡️ Knowledge of cloud technologies, including AWS Lambda, S3, and Cloudfront ➡️ Experience with TypeScript and Tailwind CSS Join us in shaping the future of social media and content creation! #SocialMedia #ContentCreation #JavaScript #FutureTalentGroup more »

optimisation of the company's data infrastructure. You will work with some of the most innovative tools in the market including Snowflake, AWS (Glue, S3), Apache Spark, Apache Airflow and DBT!! The role is hybrid, with 2 days in the office in central London and the company is offering more »

experience in using it for building robust applications. Proficiency in the Spring framework, including Spring Boot. Hands-on experience with AWS services (e.g., EC2, S3, Lambda, RDS). Strong understanding of software development principles, design patterns, and best practices. Experience working with relational databases such as MySQL or PostgreSQL. more »

using big data technologies on financial datasets Experience with RESTful APIs and server-side APIs integration Highly or conceptually familiar with AWS cloud resources (S3, Lambda, API Gateway, Kinesis, Athena, etc.,) Experience with CI/CD pipeline orchestration, leveraging Gitlab and Terraform Experience with administration of Docker or Kubernetes more »

experience Designing, creating and calling HTTP APIs SQL Databases, e.g. Postgres, MySQL, MariaDB Experience in using AWS services - 3+ of the following: EC2, RDS, S3, Route 53, Elastic search, EKS, Cloudwatch, Cloudfront. Works well in a team and with minimal supervision Desirable Requirements: Experience with: CI/CD pipelines more »

backend systems for data processing at scale within AWS. In-depth knowledge and hands-on experience with foundational AWS services, such as; ALB, ECS, S3, ElastiCache, IAM, CloudWatch. Demonstrated expertise in implementing and maintaining Kafka-based event-driven services. Proficiency in both relational and NoSQL databases, with an understanding more »

such as Spring. Familiarity with Scala programming language and its ecosystem. Basic understanding of cloud computing concepts and experience with AWS services (e.g., EC2, S3, Lambda, DynamoDB). Strong problem-solving skills and ability to learn new technologies quickly. Excellent communication and teamwork skills. Benefits: Competitive salary and benefits more »

packages (i.e. GA) Familiar with digital tracking technologies (ad servers, DSPs, DMPs) Experience with big data (e.g. cookie logs) and cloud technologies - AWS, Redshift, S3, Athena, GCP, BigQuery Experience of using git for version control (e.g. BitBucket) Experience with Jupyter Notebooks Competencies Enquiring/questioning mind Ability to pick more »

Prefect) and databases, data lakes and data warehouses. Experience with cloud technologies, particularly AWS Cloud services, with a particular focus on using AWS Glue, S3, RDS and AWS Lambda. Experience in implementing Infrastructure as Code (e.g. AWS Cloud Development Kit (CDK), Terraform, Ansible). Familiarity with container technologies such more »

etc) in the Python ecosystem. Have strong experience in DevOps combined with AWS and technologies such as Docker, Kubernetes, EC2, ECR, ECS, Glue, Lambda, S3, Cloud Formation, Cloudwatch etc. Have proven experience deploying models and ML pipelines at scale, including experience using AWS SageMaker and/or Google Cloud more »

is highly desirable Strong skills and knowledge of Public cloud technologies to enable Cloud First delivery - AWS Elastic Kubernetes Service (EKS)/Cluster, EC2, S3 Buckets, Athena, Lambda, Glue and other services Docker – Container and Package Registry, AWS PostGres (database), Grafana dashboards to visualise test results Strong experience of more »

and optimize failing or slow data pipelines and queries. Enthusiasm for clean systems, including documentation, logging, and reproducibility. An interest in working with AWS S3, Athena, ECS, Cloud Formation, Lambdas & Cloudwatch Excellent presentation, documentation, time management, communication skills with the ability to work collaboratively and autonomously. Strong problem-solving more »

distributed event store and stream-processing platform. Experience (1+ year) working with Redis or equivalent in-memory storage. Experience (1+ year) working with AWS S3, Athena, ECS, Cloud Formation, Lambdas & Cloudwatch. Experience (1+ year) with concurrent development source control (GIT). Systems integration experience (1+ year) with networking, data more »

advanced knowledge of microservices, with experience of designing microservices architecture You have a good knowledge of AWS, including familiarity with AWS Lambda, API Gateway, S3, CloudWatch You have a good knowledge of REST APIs You have strong SQL query writing skills You have experience of working on scalable, distributed more »

Design, develop, and maintain backend services and APIs using Java and Scala. Implement scalable solutions on AWS cloud platform, leveraging services such as EC2, S3, Lambda, and DynamoDB. Utilize the Spring Framework to build and manage application components, including dependency injection, data access, and transaction management. Collaborate with product more »

/CD. Some experience in system architecture and making technical decisions. Some exposure to AWS (or other cloud platform) and best practices like EC2, S3, auto-scaling, security. Passion for learning and problem solving. At least one of the following: Working on an AI driven product. Used to working more »

etc) in the Python ecosystem. Have strong experience in DevOps combined with AWS and technologies such as Docker, Kubernetes, EC2, ECR, ECS, Glue, Lambda, S3, Cloud Formation, Cloudwatch etc. Have proven experience deploying models and ML pipelines at scale, including experience using AWS SageMaker and/or Google Cloud more »