Top Python Jobs in London
As a Senior Back-End Engineer, you will build scalable trading services in RUST for high-frequency trading. Responsibilities include enhancing Order Management System functionality, ensuring efficient order execution, and collaborating with tech teams to improve performance and security in cryptocurrency exchanges.
As a Senior Analytics Engineer, you will build and maintain a modern data platform, ensuring seamless access to high-quality data. Responsibilities include managing data pipelines, supporting various teams, and optimizing data delivery architecture using tools like Snowflake, dbt, and Python, while also improving processes and working with stakeholders across the organization.
The Associate Software Engineer will be part of the Data Lake engineering team, focusing on developing a Data Lakehouse that supports AI and ML initiatives. Responsibilities include collaborating with stakeholders, designing and maintaining infrastructure on AWS and Azure, implementing CI/CD pipelines, and enhancing system performance. This role is ideal for entry-level candidates eager to learn and grow in cloud technologies and software engineering.
As a Senior Software Engineer at The Trade Desk, you will contribute to building and maintaining backend infrastructure for a platform, focusing on petabyte-scale data and microservice architecture. You will mentor junior engineers while solving algorithmic and optimization challenges, collaborating on data processing pipelines and model deployments to help shape client advertising strategies.
The Global Chapter Lead for DevOps & Testing will lead and manage a team focused on implementing DevOps strategies, fostering innovation, and ensuring best practices in software testing. Responsibilities include collaborating on architecture and technology stack decisions, managing chapter financials and resources, mentoring team members, and overseeing the technical expertise required for effective collaboration with various stakeholders.
The Global Chapter Lead oversees Full-Stack developers focusing on engineering products, driving technology advancements, managing budgets, and fostering team growth. This role includes mentoring, aligning strategies with market needs, and ensuring high-performance delivery across Pods.
As a Solutions Architect, you will build strong relationships with clients, provide technical expertise in big data analytics, and help customers adopt the Databricks platform. You will create reference architectures, lead workshops, and develop customer solutions while collaborating with account executives to drive business value.
As a Presales Solutions Engineer, you will collaborate with Account Executives to acquire new customers and expand existing accounts by understanding customer requirements and delivering high-quality demos. You'll design Proofs of Concept and lead technical evaluations, leveraging your technical skills and understanding of databases and cloud environments.
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As a Full Stack Engineer, you will develop and maintain web and desktop applications, write clean and maintainable code, participate in code reviews, ensure timely feature delivery, support QA and customer issues, deploy new releases weekly, collaborate with cross-functional teams, and mentor junior engineers.
As a DevOps Engineer, you will design and manage cloud infrastructure using AWS and Terraform, configure NGINX for reverse proxy solutions, automate tasks with Python scripting, and implement SSL inspection for secure communications. You will also validate Terraform scripts and troubleshoot SSL-related issues within a collaborative, growth-oriented environment.
This role requires an experienced Automation Tester to develop automated test scripts and execute System Tests, Integration Tests, and End-to-End Tests in a Kubernetes environment. Candidates must have a strong understanding of microservices integration and testing in a DevSecOps context.
The role involves working within an agile team to develop and deploy scalable solutions using AWS and other DevOps technologies. Responsibilities include managing CI/CD pipelines, collaborating on infrastructure design, and ensuring best practices for scalability and availability are followed.
The DevOps Engineer will optimize development and deployment processes, focusing on reliability and scalability of systems. Responsibilities include utilizing cloud technologies, programming languages, and configuration management tools, while following software engineering best practices throughout the development lifecycle.
The Fortinet Cloud Engineer will manage and configure Fortinet devices, develop automation scripts using Ansible and Terraform, and implement network security policies. The role emphasizes optimizing deployment and configuration processes in a DevOps setting while adhering to security best practices.
As a Lead Data Engineer at Kainos, you will design and develop data processing software, lead agile teams, enforce best practices, and ensure operational readiness of applications while managing and coaching team members.
As a Senior Data Engineer, you will design and develop data processing software for large-scale solutions, ensuring software supports user needs and non-functional requirements while mentoring team members and maintaining high code quality.
The Software Engineer will build and launch new data-driven applications for enterprise clients, focusing on user-friendly UIs and optimizing processes. Responsibilities include designing improvements to existing applications, experimenting with new technologies, and mentoring team members while ensuring a fun work environment.
As a Senior Site Reliability Engineer at Fivetran, you will ensure the performance and reliability of the data platform's infrastructure, manage incident responses, and optimize deployment pipelines while collaborating with engineering teams.
As a Staff Site Reliability Engineer at Fivetran, you will ensure the reliability and performance of the Fivetran Data Platform by monitoring infrastructure, driving incident responses, and implementing upgrades. You'll collaborate closely with engineering, product management, and support to enhance system robustness and automate deployment processes.
The Senior DevOps Engineer will deploy and manage cloud infrastructure, optimizing distributed systems across multiple environments including AWS, Azure, and Google Cloud. Responsibilities include managing graph and vector databases, ensuring security compliance, maintaining observability, and providing technical support for seamless service delivery, while collaborating on AI and machine learning workflows.
As a Senior Software Engineer, you will develop AI-driven applications, collaborating with cross-functional teams to enhance user experiences. Responsibilities include designing both front-end and back-end components, optimizing web applications, troubleshooting software defects, and participating in code reviews.
As a Senior Data Engineer at RVU, you will work closely with cross-functional teams to design and optimize cloud-based ELT platforms, manage data pipelines, and ensure the quality of data production. You’ll leverage your experience in building data lakes and warehouses, and implement solutions for self-service analytics and data science applications, while monitoring performance metrics.
The Platform Engineer will design and build cloud platforms to support health projects, improve data handling and infrastructure using Azure and modern technologies. Responsibilities include working collaboratively with engineering teams, implementing scalable solutions, managing deployments and ensuring adherence to best practices in cloud engineering and security.
The Data Engineer will support the design and construction of data pipelines for processing and quality control of health data from various sources. Responsibilities include developing data transformation logic, collaborating with researchers, and ensuring adherence to best practices in data engineering.
As a Senior Platform Engineer, you'll design and enhance the Analytics platform at Our Future Health, collaborate with cross-functional teams, integrate new data sources, support colleagues through engineering best practices, participate in system monitoring, and contribute to ongoing health research.
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