libraries such as pandas and scikit-learn Tooling & Environment: ○ DevOps: You have experience working with DevOps tooling, such as gitops, Kubernetes, CI/CD tools (we use buildkite) and Docker Cloud: You have worked with cloud-based environments before (we use AWS) SQL: You have a good grasp of SQL, particularly with cloud data warehouses like Snowflake Version control: You More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Burns Sheehan
libraries such as pandas and scikit-learn Tooling & Environment: ○ DevOps: You have experience working with DevOps tooling, such as gitops, Kubernetes, CI/CD tools (we use buildkite) and Docker Cloud: You have worked with cloud-based environments before (we use AWS) SQL: You have a good grasp of SQL, particularly with cloud data warehouses like Snowflake Version control: You More ❯
and delivering large-scale service platforms and enterprise applications. Technical & Product Expertise: Strong knowledge of microservices architecture, cloud technologies, and APIs. Experience with DevOps, CI/CD, and containerization (Docker, Kubernetes). Familiarity with agile methodologies, Scrum, and product management tools (JIRA, Confluence, etc.). Soft Skills & Leadership: Excellent communication and stakeholder management skills. Ability to make data-driven decisions More ❯
in production, we mainly work with PostgreSQL Cloud (AWS) deployments and monitoring, basic networking and security best practices Command line familiarity, git, automated testing, modern software development best practices Docker, terraform, CI/CD Experience working with stakeholders and customers throughout the product life cycle Experience with financial data (equity securities)Experience with traditional ML/statistical models Experience with More ❯
in production, we mainly work with PostgreSQL Cloud (AWS) deployments and monitoring, basic networking and security best practices Command line familiarity, git, automated testing, modern software development best practices Docker, terraform, CI/CD Experience working with stakeholders and customers throughout the product life cycle Experience with financial data (equity securities)Experience with traditional ML/statistical models Experience with More ❯
in Python delivering scalable, high-quality production code and familiarity with a second object-oriented language High proficiency using RDBMs and Postgres Working experience with AWS (or equivalent) and Docker MSc in Computer Science, Math, or related fields Personal Traits We'd Love to See: You are a self-starter and enjoy working on high-impact problems that deliver value More ❯
in some of the following a bonus: Java experience Python experience Ruby experience Big data technologies: Spark, Trino, Kafka Financial Markets experience SQL: Postgres, Oracle Cloud-native deployments: AWS, Docker, Kubernetes Observability: Splunk, Prometheus, Grafana For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at . California residents, please More ❯
Azure, or GCP) and tools like Terraform , CDK , or CloudFormation You understand how to ship code with confidence-through CI/CD , testing , and monitoring You're comfortable with Docker , Kubernetes , and scalable system design You know your way around relational and schema-less databases You bring a collaborative spirit and love helping others grow Bonus points if you've More ❯
modern CI/CD pipelines (GitLab, GitHub or equivalent). Strong understanding of system architecture and design. Experience collaborating with Product Managers to ensure delightful customer experiences. Expertise in Docker with deployment on Kubernetes preferred. Any exposure to Rust would be a bonus. A background in mathematics, and numerical simulations in particular, would be a bonus. What we can offer More ❯
using dbt, Spark and Airflow Have experience Data modelling (building optimised and efficient data marts and warehouses in the cloud) Work with Infrastructure as code (Terraform) and containerising applications (Docker) Work with AWS, S3, SQS, Iceberg, Parquet, Glue and EMR for our Data Lake Experience developing CI/CD pipelines More information: Enjoy fantastic perks like private healthcare & dental insurance More ❯
London, Prince's, United Kingdom Hybrid / WFH Options
XIST4 IT Recruitment Ltd
cloud platforms. * Proficiency in Linux and Windows server management. * Working knowledge of MySQL, Elastic Search, or SOLR. * Experience with Git, version control, and CI/CD pipelines. * Exposure to Docker or similar containerisation tools. * Experience with content management systems and modern JavaScript frameworks. * Awareness of cybersecurity best practices. * Strong communication skills, able to explain technical concepts clearly. * Familiarity with Cloudflare More ❯
familiar with them and be open to learning! The tech stack covers everything on the list below: Node JS/TS, golang or Polyglot React, NextJS, CSS, HTML5 Kubernetes, Docker, Multi-cloud Mongo, Postgres, Nats, Elastic What you can expect . Competitive salary 25 days annual leave Medical and Dental Insurance We have a hybrid model, however, to ensure effective More ❯
Perl, Ruby, C#, and/or PHP - Previous experience as a Software Engineer, Developer, DevOps Engineer etc. - Understanding of DevOps practices and tools including Continuous Integration/Deployment, Puppet, Docker, Kubernetes, Chef is a plus - Russian/Ukrainian language skills Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We More ❯
from prototype through to production Strong understanding of machine learning applications, development life cycle processes and tools: CI/CD, version control (git), testing frameworks, MLOps Comfortable working with Docker and containerised applications Experience with data science Python libraries such as Scikit-learn, Pandas, NumPy, Pytorch, Tensorflow, etc. Experience designing and and implementing machine learning pipelines Experience and expertise in More ❯
requirements: 3+ years' experience managing engineering teams of 8 or more A strong background in software development using JavaScript, Java or Kotlin Experience building microservices and distributed systems using Docker, Kubernetes, and cloud-native patterns Deep knowledge of Agile delivery, DevOps practices, and automated testing pipelines Excellent problem-solving skills and a pragmatic, analytical mindset Proven ability to lead through More ❯
/CD pipelines) Strong understanding of the trade lifecycle, market data, and fixed income products, FX or algorithmic trading experience is a plus Familiarity with hybrid cloud environments, Kubernetes, Docker, and modern deployment practices Expertise in incident management, post-mortem culture, change governance, and risk frameworks in regulated environments How we’ll support you Training and development to help you More ❯
from prototype through to production Strong understanding of machine learning applications, development life cycle processes and tools: CI/CD, version control (git), testing frameworks, MLOps Comfortable working with Docker and containerised applications Experience with data science Python libraries such as Scikit-learn, Pandas, NumPy, Pytorch etc. Experience using AWS or similar cloud computing platform Great communicator - convey complex ideas More ❯
least one of the big names in visualisation tech like syncfusion, D3js, GoJS, JointJS, mxGraph or Cytoscape.js but we're not fussy which one. - You are savvy with Azure, Docker, EF and SQL Server. - API consumption isn't new to you; you've dabbled in it and know how to make things connect. - You're familiar with Azure DevOps and More ❯
team of Data Engineers Experience with Data modelling, Data warehousing, and building ETL pipelines Experience with AWS (S3, EKS, EC2, RDS) or similar cloud services, Snowflake, Fivetran, Airbyte, dbt, Docker, Argo Experience in SQL, Python, and Terraform Experience with building Data pipelines and applications to stream and process datasets Robust understanding of DevOps principles is required Experience managing cloud infrastructure More ❯
A proactive, innovative mindset with the ability to drive continuous improvement Familiarity with some of our tech stack: PostgreSQL, or a similar RDBMS, particularly in Amazon RDS at scale Docker and Kubernetes, we use Amazon EKS in production Python Datadog, or a similar logging/monitoring tool Messaging queues, event-driven async processing or similar technologies - we use RabbitMQ Terraform More ❯
A proactive, innovative mindset with the ability to drive continuous improvement Familiarity with some of our tech stack: PostgreSQL, or a similar RDBMS, particularly in Amazon RDS at scale Docker and Kubernetes, we use Amazon EKS in production Python Datadog, or a similar logging/monitoring tool Messaging queues, event-driven async processing or similar technologies - we use RabbitMQ Terraform More ❯
/CD pipelines) Strong understanding of the trade lifecycle, market data, and fixed income products, FX or algorithmic trading experience is a plus Familiarity with hybrid cloud environments, Kubernetes, Docker, and modern deployment practices Expertise in incident management, post-mortem culture, change governance, and risk frameworks in regulated environments How we'll support you Training and development to help you More ❯
A proactive, innovative mindset with the ability to drive continuous improvement Familiarity with some of our tech stack: PostgreSQL, or a similar RDBMS, particularly in Amazon RDS at scale Docker and Kubernetes, we use Amazon EKS in production Python Datadog, or a similar logging/monitoring tool Messaging queues, event-driven async processing or similar technologies - we use RabbitMQ Terraform More ❯
code practices. Expert-level knowledge of Python for machine learning and data manipulation (pandas, NumPy). Advanced experience with SQL for data querying and manipulation. Experience with Git, Bash, Docker, and machine learning pipelines. Experience with open-source machine learning libraries like scikit-learn, PyTorch, TensorFlow, and SciPy. Hands-on experience working with multi-modal data (images, text) and relevant More ❯
practices Technology We're pragmatic about our technology choices. These are some of the things we use at the moment: Python, DBT, Tableau ️ PostgreSQL, BigQuery, MySQL pytest ️ AWS, GCP Docker, Terraform, GitHub, GIT How we expect you to work ️ Collaborate - We work in cross-functional, mission driven, autonomous squads that gel over time. We pair program to work better through More ❯