Senior Platform Engineer (f/m/d)

Join Contentful as a Senior Platform Engineer and be part of a dynamic team dedicated to creating scalable and efficient software solutions. In this role, you will leverage your expertise to enhance our platform, ensuring optimal performance and reliability. You will collaborate closely with cross-functional teams, driving innovation and excellence in our engineering practices.

Spotify is looking for an Engineering Manager to guide the Content Platform team in London. This position leads a group of engineers focused on building and improving content management systems that support Spotify’s user experience at scale. Role overview The Engineering Manager sets technical direction for the team, making sure projects move forward smoothly and efficiently. This role involves balancing hands-on technical leadership with people management, ensuring the team delivers reliable systems that meet Spotify’s standards. Team leadership Inspire and mentor engineers, encouraging growth and collaboration Drive a culture of continuous improvement within the team Oversee project execution and technical decisions What you will work on Lead the development of scalable content management solutions Enhance systems that impact user experiences across Spotify’s platform

Join Contentful as a Senior Backend Engineer specializing in our cutting-edge AI Platform. In this pivotal role, you will architect and develop robust backend systems that support our innovative AI solutions. Collaborate with a dynamic team of engineers and data scientists to design scalable APIs and enhance our platform's capabilities.

Join Our Team! Contentful is seeking a Senior Data Engineer to play a pivotal role in designing, developing, and scaling advanced data solutions that drive analytics, operational reporting, and strategic decision-making within our organization. You will collaborate closely with our data, analytics, and business teams to create robust data pipelines, models, and integrations that ensure clean, reliable, and actionable data. You will be an integral part of a small, geographically diverse engineering team that operates with a product mindset—delivering iterative value while partnering closely with business and analytics stakeholders, and taking ownership of both the development and operational aspects of a critical data platform. Your Responsibilities Design, build, and maintain scalable data pipelines and transformations that integrate multiple systems and sources. Create high-quality data models that cater to analytics, reporting, and operational use cases. Collaborate with analytics, product, and business teams to identify data needs and translate them into effective technical solutions. Establish and enforce strong data quality, validation, and monitoring protocols to ensure the reliability and trustworthiness of our data. Optimize data storage, processing, and performance within cloud data warehousing environments. Contribute to the ongoing improvement of our modern data platform, including tooling, standards, and best practices. Support the operations of the data platform by troubleshooting issues, enhancing reliability, and ensuring SLAs are consistently met. Engage with cross-functional partners on governance, documentation, definitions, and data stewardship. Implement CI/CD practices and Infrastructure-as-Code (IaC) for automated deployment, testing, and environment management. Participate in code reviews, design discussions, and operational on-call rotations as required. Mentor team members and promote data engineering best practices across the organization. Your Skills and Experience Essential Qualifications 5+ years of experience in a Data Engineering or similar technical role. Expertise in SQL and experience working with cloud data warehouses (e.g., Snowflake, Redshift, BigQuery). Experience in building and maintaining ETL/ELT pipelines using tools such as dbt, Airflow, or similar frameworks. Proficiency in Python or another scripting language. Strong understanding of data modeling, data structures, and modern data architecture principles.

Join Our Dynamic Team as a Customer Support Engineer At Contentful, our Customer Support Engineers are crucial in guiding customers through the journey of creating stunning websites, applications, and digital experiences using innovative technologies. You will work closely with developers from various organizations, assisting them in overcoming challenges from scaling their projects to initiating new integrations. Through our ticket-based support system, you will diagnose and delve into Contentful-related issues, providing solutions and escalating critical matters to our Engineering team when necessary. By doing so, you empower our large clientele, who depend on Contentful for their public websites, mobile applications, and other essential business functions, ensuring their success.

Join Contentful as a Senior Product Manager and play a crucial role in shaping the future of our product offerings. You will lead cross-functional teams, drive product vision, and ensure that our solutions meet the evolving needs of our customers. Your expertise will guide the product lifecycle from conception to launch, with a focus on delivering exceptional user experiences.

Join Contentful as a Strategic Alliances Manager, where you will play a pivotal role in forging and nurturing key partnerships that drive our business forward. Your expertise will contribute to developing strategic initiatives that enhance our market presence and value proposition.

Join Contentful as a Senior Product Manager, where you will lead innovative product strategies, drive growth, and enhance user experiences across our platforms. You will collaborate with cross-functional teams, leveraging data-driven insights to inform product decisions and contribute to the overall vision of our organization.

Spotify is looking for a Senior Staff Machine Learning Engineer to join the Content Platform team in London. This position centers on building and refining machine learning models that improve how users experience content on the platform. Role overview In this role, you will guide the development of machine learning systems designed to enhance content delivery and boost user engagement. Collaboration is key: expect to work closely with engineers, product managers, and other specialists from across Spotify to deliver solutions that scale. What you will do Lead the design and implementation of advanced machine learning models for the Content Platform Partner with cross-functional teams to identify and solve complex challenges Drive projects that directly impact how users discover and interact with content Requirements Extensive experience in machine learning engineering Strong background in developing scalable ML solutions Ability to work effectively with diverse teams and stakeholders Demonstrated passion for technology and improving user experiences

About the Opportunity Join Contentful as a Full Stack Software Engineer and drive innovation through Automations, Workflows, and Collaboration Tools. Become an integral part of the pioneering team at Contentful, a platform that empowers thousands of customers to manage and scale their content effectively. We are looking for enthusiastic Full Stack Software Engineers who are eager to create high-performance applications using cutting-edge technologies. If you are excited about transforming the realm of Automations, Workflows, and team collaboration within the Contentful ecosystem and possess experience with TypeScript, React, and Node.js, we invite you to join our team. What to Expect? Collaborate and Innovate: Work in close partnership with product managers, designers, and fellow engineers to develop top-tier automation, workflow, and collaboration features for our clients. Full Stack Development: Design, develop, and maintain scalable features across both frontend and backend using TypeScript, React, and Node.js. Collaboration Tools Integration: Implement and integrate collaboration technologies to boost team productivity and enhance user experiences across the platform. Holistic Thinking: Approach projects with a comprehensive view, considering all components and systems to enhance the user experience. Rapid Problem-Solving: Swiftly address bugs and issues to improve customer satisfaction. Data-Driven Development: Leverage analytics to inform product decisions and refine features. Continuous Improvement: Engage in code reviews and contribute to enhancing our development processes. Stay Current: Remain updated on the latest industry trends, particularly in automations, workflows, and collaboration tools.

Are you ready to lead a talented team at the forefront of digital experience? As an Engineering Manager focusing on Workflows and UI Foundations, you will guide our engineering team in creating innovative and scalable solutions. Your leadership will empower engineers to drive the development of high-quality user interfaces and streamlined workflows that enhance user experiences.Join us in shaping the future of our platform, where your expertise and vision can make a significant impact. If you are passionate about technology and team collaboration, we invite you to be part of our dynamic environment.

Blacklane is hiring an Engineering Manager - Platform to join the London office. This leadership role sits at the intersection of infrastructure and developer experience, with a focus on turning a suite of internal tools into a unified platform product. The team is growing, and this position plays a key part in shaping both processes and culture to help product teams deliver more effectively. What you will do Lead the team in integrating platform tools into a single, cohesive internal product. Collaborate closely with the Staff Engineer to set direction, define standards, and manage project timelines. Make decisions that prioritize meaningful business outcomes over simply closing tickets. Clarify ambiguous requirements and turn them into actionable plans. Mentor engineers, support hiring efforts, and foster a collaborative, high-performing team environment. Encourage continuous learning and improvement within the Platform unit. Champion high standards in developer experience, infrastructure, and site reliability engineering. Maintain open communication with other Engineering Managers to coordinate expectations and dependencies. Requirements Ideal candidates bring experience in Platform, Backend, or Data Engineering, and enjoy solving complex problems through to completion. A commitment to learning and team development is important. Initiative: Proactively addresses important issues and builds strong business cases for solutions. Execution: Delivers results and navigates challenges with a strategic mindset. Location This role is based in London.

yuno is looking for an Engineering Manager to join the Data Platform team in London. This position centers on strengthening the company’s data infrastructure, which is essential for collecting, managing, and using data across multiple products and teams. Role overview The Engineering Manager will oversee a group of engineers dedicated to the development and performance of yuno’s data platform. The work involves guiding the team through the design and implementation of data systems that are both scalable and reliable. What you will do Lead and support a team working on the data platform’s development and ongoing performance. Direct the design and rollout of data systems built for scale and reliability. Encourage a collaborative and creative team culture. Ensure delivery of data solutions that align with business goals. Location This role is based in London.

At Sanity.io, we are pioneering the future of AI-enhanced Content Operations. Our AI Content Operating System empowers teams to model, create, and automate content in alignment with their business processes, thereby accelerating digital development and enhancing content operations efficiency. Esteemed companies such as SKIMS, Figma, Riot Games, Anthropic, COMPLEX, Nordstrom, and Morningbrew leverage Sanity to optimize and automate their content workflows.Sanity Content Agent exemplifies the fusion of AI and structured content—an intelligent assistant that comprehensively understands each customer’s content model, navigates references like a seasoned team member, and merges web research with internal content knowledge in a unified dialogue. Sanity stands out in this landscape with our expansive Content Lake hosting structured content that provides rich context beyond the capabilities of generic AI tools.Your team will explore the limits of what is achievable when AI genuinely comprehends content: quickly auditing thousands of documents, identifying inconsistencies before they reach customers, and producing impeccably structured documents adhering to complex validation rules. With a robust and expanding team of 4 engineers and the potential for growth as the product evolves, you will be instrumental in developing AI functionalities that transform hours of content management into mere minutes. You will navigate the technical challenges of LLM integration and agentic workflows while ensuring the AI is trustworthy for content teams. Discover more about our products here, here, and here.

Join Contentful as a Senior Backend & Infrastructure Software Engineer and play a pivotal role in shaping the future of our platform. In this role, you will design and implement robust backend solutions that enhance our infrastructure capabilities, ensuring scalability and performance. Collaborate with cross-functional teams to tackle complex technical challenges and drive innovation within the organization.

Join Storio Group as an Engineering ManagerRole Overview:We are on the lookout for a skilled Engineering Manager specializing in Data to lead our dynamic London-based data team. Your primary focus will be to develop and enhance a platform that fosters a decentralized data adoption model throughout our organization.At Storio, we prioritize delivering reliable and actionable data that fulfills business requirements. We’re eager for you to build and manage a high-performing team dedicated to this objective. If you have a background in software engineering management with a focus on data, we would love to hear from you!Our data and AI team is expanding across the UK and the Netherlands, serving as the backbone for various data-driven consumers and platforms within Marketing, Finance, Operations, and Product teams.Our AI photo services are pivotal to enhancing customer experience, and we are broadening our efforts towards decentralized machine learning adoption within the business. Following a series of mergers, our team has unified and is transitioning from a phase of simplifying legacy systems to a stage of consolidation and growth.Our Technology Stack:• Cloud Data Warehouse - Snowflake• AWS Data Solutions - Kinesis, SNS, SQS, S3, ECS, Lambda• Data Governance & Quality - Collate & Monte Carlo• Infrastructure as Code - Terraform• Data Integration & Transformation - Python, DBT, Fivetran, Airflow• CI/CD - Github Actions / Jenkins

Role overview Contentful is hiring a Director of Product Management in London. This leader will guide a skilled team to advance product development and improve customer experiences. The role calls for setting a clear product direction and ensuring the roadmap matches both business objectives and market needs. What you will do Lead and mentor a product management team Shape and communicate the product vision and strategy Align product plans with company goals and market trends Work closely with engineering, design, and marketing to deliver solutions that address user needs

Checkout.com supports online payments for major brands including eBay, ASOS, Klarna, Uber Eats, and Sony, processing billions of transactions every year. With a presence in 19 offices across six continents and headquarters in London, the company emphasizes high performance, continuous improvement, and innovation. Employees contribute directly to shaping the future of fintech. Role overview The Senior Engineering Manager - Data Platform leads the Data and AI Platform Team. This group provides the systems and tools that enable products, merchants, and internal teams to make effective use of data and AI. The goal is to maximize time spent on innovation and solving business problems, while reducing the complexity of technical implementation, deployment, and monitoring. As Checkout.com grows, the Data Platform must scale to support hundreds of teams and manage petabyte-scale data volumes. What you will do Guide the team in designing technical architecture and building user-focused systems and tools. Oversee technical delivery and operational reliability, driving process automation and maintaining high engineering standards. Ensure service levels (SLAs/SLOs) are met with minimal manual intervention. Manage a team of Junior and Senior Data Engineers, providing hands-on support when needed. Foster an inclusive culture and mentor team members in both technical and interpersonal development. Lead quarterly execution of roadmap deliverables, ensuring alignment with business objectives. Location This position is based in London.

Join the AI Revolution at Contentful!Be part of an innovative team that is creating powerful AI solutions for numerous active users.At Contentful, you will play a pivotal role in envisioning, developing, and implementing machine learning solutions that immediately enhance our customers' capabilities. We are seeking a highly skilled machine learning engineer with deep expertise in this domain and a solid grasp of contemporary Generative AI trends. If you are enthusiastic about expanding the possibilities of ML products within a large-scale content management system, we want you to be part of our dynamic team.Your Role Will Involve:Ensuring the high-quality delivery of ML workloads for our enterprise clients.Designing, developing, and assessing production software within the Contentful Platform.Conducting targeted research and experimentation using tools such as Jupyter Notebook.Enhancing generative AI products for optimal accuracy, performance, and scalability.Integrating machine learning cloud solutions tailored to large-scale applications.Implementing prompt engineering and fine-tuning to cater to specific customer needs.Building software that can scale to accommodate high-demand workloads.Leading design reviews with peers and stakeholders to evaluate technology options.Promoting ML education within the team and establishing high-quality standards and accountability.

At Orbital Materials, we leverage cutting-edge AI technology to develop data center hardware that surpasses industry standards. Our innovative AI system simulates materials at the atomic level, testing millions of hardware configurations in a fraction of the time traditional methods require, allowing us to discover optimal designs that lead to unparalleled hardware performance. Our hardware specifications are unmatched: 1 MW/rack, PUE < 1.04, and lead times as short as 12 weeks.Each deployment feeds valuable field data back into our AI models, enhancing their accuracy and performance. This self-reinforcing loop ensures continuous improvement in our hardware and AI capabilities. Our primary focus is on data centers, where the market demands high performance and reliability. However, our AI-accelerated development methods can be applied to any complex physical system, with data centers serving as our initial proving ground.With offices located in London, Canada, and the USA, we are assembling teams across various disciplines including machine learning research, product development, mechanical engineering, and chemical engineering. If you're interested in a role where AI intersects with materials science, we want to hear from you!Role OverviewOrbital Materials is seeking a talented Content Manager to drive multi-format content creation and distribution that resonates with our target audience and enhances community engagement. This position is perfect for an individual adept at translating complex scientific concepts into clear, impactful narratives suitable for a technically savvy audience.You will be responsible for producing high-quality content that articulates Orbital's offerings, their significance, and their applications across industries, particularly in data centers and large-scale computing infrastructure. Collaboration across departments will be key as you create engaging, informative content that is both structured and insightful.Key ResponsibilitiesSteer Orbital’s editorial voice, tone, and standards for all written materials.Establish thought leadership within relevant sectors, including data centers.Serve as an editorial partner to the Orbital team.Develop and implement editorial processes encompassing briefing, drafting, review, and publication.Content CreationLead the production of impactful content, including presentations, product specifications, and more.