Director of Platform Engineering

Join neko-health as the Director of Platform Engineering, where you will spearhead the development and optimization of our cutting-edge health technology platforms. You will lead a talented team of engineers, driving innovation and ensuring the delivery of robust, scalable solutions that enhance healthcare delivery. Your strategic vision will be critical in …

About Langfuse Langfuse builds an open-source LLM Engineering Platform that helps teams develop AI applications. The platform includes tools for tracing, evaluation, and prompt management. As part of ClickHouse, Langfuse focuses on improving AI observability with a strong data-driven approach. Langfuse is the largest open-source solution in its field. The platform is trusted by 19 of the Fortune 50, has over 2,000 customers, and handles more than 26 million SDK downloads each month. The infrastructure processes over a billion trace events monthly, supporting high reliability and performance for clients. Role Overview: Senior Cloud Infrastructure Engineer This position focuses on maintaining and improving the cloud infrastructure that supports Langfuse’s services. The role involves managing operations on AWS ECS Fargate and ClickHouse Cloud, with attention to performance and cost efficiency. The Senior Cloud Infrastructure Engineer will help scale systems to match customer growth. In addition to cloud operations, the role covers public self-hosted infrastructure, giving teams flexibility in how they deploy Langfuse. Location Remote within Europe.

At sensmore, we are pioneering the automation of the world's most substantial machinery, integrating cutting-edge intelligence into heavy machines. Our proprietary Physical AI technology enables machines like wheel loaders to adapt swiftly to dynamic environments and undertake new tasks without the need for prior training.We fuse advanced robotics into a comprehensive platform that powers innovative intelligence and automation products, revolutionizing productivity and safety for our clients in sectors such as mining, construction, and related industries.Join our team and be a key contributor in reshaping the automation landscape within heavy industries.

As a Lead Data Platform Engineer at YAZIO, you will spearhead the development and optimization of our data platform, ensuring that it meets the growing needs of our users. You will work closely with cross-functional teams to create efficient data pipelines, improve data architecture, and lead initiatives that enhance data accessibility and usability.

This position is available in Berlin or London. UNLOCK YOUR POTENTIALTrade Republic is Europe's premier savings platform, operating across 17 countries and entrusted with over €100 billion in assets by more than 8 million customers. We are on a relentless pursuit to innovate and expand.Our mission is bold: we aim to empower individuals to build wealth through seamless, secure, and no-cost access to financial systems. Join us and elevate your career by collaborating with exceptional talents and cutting-edge technology to create a positive legacy for millions. ROLE RESPONSIBILITIESAs a Senior Security Engineer within our Cloud Security team, you will design and maintain secure cloud infrastructures that safeguard Trade Republic's essential systems and customer data. Your key responsibilities will include:Creating and enforcing security controls for cloud infrastructure across AWS environments;Establishing and upholding Infrastructure as Code (IaC) security standards along with automated compliance validation;Developing cloud security automation utilizing Terraform, CloudFormation, and Python to enforce security policies;Implementing and refining Cloud Security Posture Management (CSPM) solutions and remediation workflows;Architecting secure network segmentation, VPCs, security groups, and zero-trust network access frameworks;Managing identity and access management (IAM) policies, service control policies, and least privilege frameworks;Monitoring and responding to cloud security incidents using CloudTrail, GuardDuty, Security Hub, and SIEM integration;Conducting security assessments of Kubernetes clusters, container registries, and serverless architectures;Collaborating with platform and infrastructure teams to enhance cloud security and address vulnerabilities;Championing cloud security initiatives, including encryption strategies, secrets management, and data protection measures;Evaluating and integrating cloud-native security tools for runtime protection and threat detection.QUALIFICATIONSRequired Experience:5+ years as a Security Engineer with at least 4 years focused on cloud security;Expertise in AWS, Terraform, and Python;Strong understanding of cloud security frameworks and best practices;Proficient in security automation and compliance tools.

Transform the Travel ExperienceJoin GetYourGuide in reshaping the way people explore the world. We connect millions with unique and memorable activities, driven by our dedication to making every journey extraordinary—including yours.Are you ready to unlock your potential alongside a community of fellow adventurers? Explore your next opportunity at our Berlin headquarters or one of our global offices, from New York to Bangkok. Visit getyourguide.careers to take the first step.Team MissionAt the AI Platform team, our goal is to empower Mission Teams across GetYourGuide to independently build and operate robust LLM features, democratizing AI development while ensuring the product quality our users expect.As the Engineering Manager for our AI Platform team, you will spearhead the vision, strategy, and execution necessary to enable and scale AI-powered capabilities across our product range. You will oversee the development and evolution of a centralized AI infrastructure designed to make LLM development systematic, reliable, and scalable. Your team will create evaluation systems, abstraction layers, and safety measures, enabling Mission Teams to deploy AI features with confidence and speed, ensuring GetYourGuide delivers trustworthy, high-quality AI experiences to travelers worldwide.Your ResponsibilitiesLead hiring and performance management processes for your Engineering team, empowering your engineers to excel in this dynamic and rapidly evolving field.Drive impactful projects and outcomes by managing the team’s roadmap and portfolio allocation.Tackle complex technical challenges that span multiple services and business domains, ensuring Mission Teams can create production-grade LLM features confidently.Promote best practices for LLM development across the technology landscape.Balance the pace of innovation with production standards to ensure the platform supports speed without compromising quality, security, or reliability.Establish strategic partnerships with key stakeholders across product and engineering leadership, as well as vendor relationships, to align platform capabilities with business objectives.Your Skill SetYou possess a strong sense of ownership, ensuring that technical and product plans align with stakeholder interests, team goals, and organizational objectives.You approach complex problems with an open mind and a collaborative spirit.

Transform the Future of TravelBecome part of the GetYourGuide mission to connect travelers with unforgettable experiences across the globe. Trusted by millions, our platform offers unique activities that redefine journeys. Are you ready to explore your potential within a vibrant community? Join us at our Berlin headquarters or one of our local offices worldwide, from New York City to Bangkok. Start your adventure at getyourguide.careers.Team PurposeThe Search Platform team at GetYourGuide empowers product and engineering units to create exceptional search and discovery experiences by providing a reliable platform that delivers accurate and timely information about our offerings through robust interfaces.Your ContributionCollaborate cross-functionally with engineers, designers, data scientists, and analysts.Enable rapid iteration within your team through the design, launch, and analysis of A/B experiments.Continuously enhance our codebase, systems, and workflows.Create and implement scalable, efficient solutions.Guide and mentor other team members while participating in recruitment.Engage in full-stack development using a diverse technological toolkit, including Java, Spring Boot, PHP, Vue.js, TypeScript, SASS, Node.js, MySQL, PostgreSQL, GraphQL, Kafka, OpenSearch, and Kubernetes.

About Our ClientFounded in Canada in 2015, our client has rapidly expanded to encompass a global portfolio of over 118 companies. They specialize in acquiring and developing vertical market software firms, empowering each business to deliver top-notch mission-critical solutions tailored to their industry's needs. A cornerstone of our client's philosophy is to invest in well-established enterprises while cultivating an entrepreneurial atmosphere that transforms these companies into industry leaders. Their strategic approach focuses on building long-term partnerships with existing management to create and enhance value.About the RoleAs the AI Engineering Lead, you will assume a pivotal leadership role in defining and executing the company's AI strategy. You will be responsible for the practical integration of AI across our client's engineering framework, enhancing internal development and testing processes to improve efficiency and quality. Additionally, you will oversee the development of AI-driven product features that provide tangible benefits to users. In this position, you will ensure alignment between engineering, product management, and data science teams, translating innovative ideas into actionable solutions and guiding teams to unlock their full potential through effective AI integration.Key Responsibilities AI Strategy & Vision: Develop a comprehensive AI roadmap that aligns with business objectives; identify opportunities for AI/ML applications in internal workflows (e.g., code generation, automated testing, monitoring); collaborate with product leadership to design and implement AI-enhanced product features. AI Integration into Engineering Practice: Spearhead the deployment of AI tools within the Software Development Life Cycle (SDLC) (e.g., GitHub Copilot, CodeWhisperer, Tabnine); automate unit testing, static code analysis, and regression testing leveraging AI; guide the application of AI in CI/CD pipelines for improved monitoring, alerting, and predictive operations. AI Product Development: Design and oversee the creation of AI/ML models and AI-enhanced product features; ensure adherence to best practices in AI/ML, including model training, data governance, validation, and ethics; select and manage the necessary infrastructure (e.g., cloud GPU/TPU, model operations platforms like MLflow or Vertex AI). Team Leadership & Cross-Function Collaboration: Lead a team of AI engineers, data scientists, and MLOps personnel; collaborate with product, design, and stakeholders to ensure AI features align with user value; mentor engineering teams on responsible AI usage, prompt engineering, and model comprehension. Governance & Compliance: Establish standards for responsible and explainable AI; ensure compliance with regulatory and ethical guidelines (e.g., GDPR, fairness, transparency); monitor model performance to prevent drift or unintended behaviors.

About the RoleAs a Staff AI Engineer at bluefishai, you'll take on a pivotal role as a technical leader for our cutting-edge LLM-powered products, which are at the forefront of marketing and advertising technologies. You will be responsible for making essential architectural decisions, establishing quality benchmarks, and spearheading multi-team initiatives that yield measurable results.Your responsibilities will include leading the vision and execution of our data platform and LLM-integrated products. You will oversee significant architectural decisions concerning data pipelines, model integration, deployment, and evaluations, transforming high-level business and product requirements into reliable, scalable data solutions that deliver impactful outcomes for our Fortune 500 clients. This role encompasses both data backend and machine learning engineering, ensuring the reliability and cost-effectiveness of our pipelines while enhancing the performance of LLM-enabled features. Furthermore, you will elevate data literacy across the department through effective collaboration and craftsmanship.You will be accountable for the health, cost, and growth of key data products and platforms, partnering closely with full-stack engineers, product managers, design teams, and DevOps to produce outcomes that our customers can confidently rely on.This position offers an exciting opportunity to influence the future of AI-driven technologies and make significant contributions to tangible applications.While this role is associated with our Berlin location, we offer flexibility for remote work within Germany.

Join Yazio as a Senior Platform Engineer and play a pivotal role in enhancing our platform's performance and scalability. You will collaborate with a dynamic team of engineers to design and implement innovative solutions, ensuring our users have the best experience possible.

About the OpportunityAre you enthusiastic about cybersecurity and looking to make a significant impact in a fast-paced environment? Your search ends here! We are seeking a skilled Senior Cloud Security Engineer to lead the charge in proactively identifying and mitigating security threats while protecting our sensitive data. Collaborate with our Platform and Data teams and play a pivotal role in securing our customers and the organization.At N26, our Infrastructure Security team is committed to detecting and addressing IT and cloud infrastructure security threats. We strive to deliver efficient and effective services that enable our tech teams to excel.Your ResponsibilitiesLead the Cloud Infrastructure Security function roadmap in collaboration with the Product Manager, Tech Lead, and Engineering Manager.Define and execute initiatives, solutions, processes, and frameworks to proactively identify and mitigate security threats in our AWS infrastructure, enhancing our overall security maturity.Design, deploy, and maintain cutting-edge cloud-native security solutions that include end-to-end data protection, advanced threat detection, automated controls, alerting, and remediation mechanisms to ensure continuous compliance across our cloud infrastructure.Conduct regular research to identify new attack vectors.Facilitate Threat Modeling Sessions, assess and classify security threats, and outline mitigation strategies in partnership with stakeholders.Monitor vulnerabilities, perform ongoing risk assessments, and work with cross-functional teams to address risks.Define the pentesting scope and scenarios.Develop and maintain documentation that provides clear guidelines to enhance security posture and ensure consistent, secure cloud operations throughout the organization.Deliver exceptional service to our key stakeholders within our support portal.Participate in our security incident response on-call rotation (voluntary) and lead security incidents.

Design and develop efficient ETL/ELT processes to ensure optimal data processing and analysis.Build and maintain data pipelines delivering real-time data while assisting teams in creating data-driven products such as personalization, recommendations, and tracking systems.Develop interfaces for external systems and ensure reliable integration of new data sources (e.g., REST APIs, Google Analytics).Automate testing and deployment processes for data models, ETL jobs, and machine learning applications.Manage infrastructure components for Big Data and streaming technologies (e.g., ClickHouse, Kinesis), ensuring high availability and efficiency.Ensure high data quality and develop strategies for continuous system optimization.Contribute to the development and integration of machine learning models to enhance personalization and recommendation systems.Actively participate in our DevOps team and take responsibility in on-call duties.Document technical processes to ensure transparency and traceability of all data operations.

Join Us in Revolutionizing Wealth BuildingAt Trade Republic, the leading savings platform in Europe, we serve over 10 million customers across 18 countries, managing more than €150B in assets. Our mission is to democratize wealth creation by providing seamless, safe, and cost-free access to financial systems.As a Senior Kafka Platform Engineer, you will be part of an innovative team that leverages cutting-edge technology to create a brighter financial future for millions. You will have the chance to advance your career while collaborating with exceptional talents in a dynamic environment.About Platform EngineeringOur Platform Engineering team is the cornerstone of Trade Republic's engineering success. We are committed to developing scalable platforms that enable internal engineers to work efficiently and independently. With a team of approximately 50 professionals, our focus is on enhancing engineering velocity through self-service platforms and advanced tooling that empowers over 400 engineers to deliver with confidence.Your ResponsibilitiesAs Kafka becomes the central nervous system of Trade Republic, your role will involve transforming our Kafka infrastructure to reduce manual tasks and operational complexities. You will help create a more efficient environment by treating Kafka clusters as interchangeable resources, supported by a Temporal-backed control plane and Backstage-integrated self-service functionalities.Run Kafka at Scale: Ensure the reliability and uptime of our Kafka fleet through high-availability designs, resilient engineering practices, and zero-downtime maintenance.Build the Streaming Platform: Design and implement control plane solutions that facilitate automation and streamline operations across our multi-cluster platform.

Role Overview airapps is looking for an AI/ML Engineer to help design and build machine learning models. This role works closely with a skilled team focused on using technology to improve processes and outcomes. Location Berlin Metropolitan Area

Referral Bonus: Do you know a standout talent? Connect us via LinkedIn (Dennis Agidigbi) and if we hire them for a full-time position, you’ll earn a bonus of €10,000. About ZauberAfter co-founding and scaling Forto to over $600 million in funding, I took time to reflect on the persistent challenges in global logistics. The answer was evident: it remains a human-centric, spreadsheet-dependent field, rife with repetitive tasks and inadequate system interoperability.With the advent of AI agents, we now possess the capability to revolutionize this sector from the ground up. Zauber develops autonomous agents for the global logistics industry—AI workers that manage operational tasks, engage with systems and individuals, and continuously improve. We are already operational with leading logistics companies across Europe and Asia Supported by one of Europe’s premier early-stage funding firms Rapidly expanding and seeking exceptional engineers to join our early teamWe are currently in search of an outstanding Platform Engineer to assist us in defining and constructing the next generation of AI-driven logistics systems. Role OverviewYou will develop the infrastructure that supports our AI agents. We have made practical early tooling decisions for efficiency, and as we grow, some will thrive while others may not. We require a candidate who comprehends the principles of distributed systems behind contemporary tools and can discern when to maintain simplicity versus when to implement more complex solutions. This is a foundational role where you will architect the systems that the rest of the team will rely upon. Key ResponsibilitiesCreate and manage the runtime infrastructure that sustains our AI agents in production, ensuring the systems are reliable for our customers.Design for concurrency and failure, incorporating queuing, retries, backpressure, and idempotency to ensure agent workflows remain dependable under real-world conditions.Take charge of production reliability, including latency budgets, error budgets, capacity planning, and incident management.Implement monitoring tools with tracing, structured logging, and alerting to identify issues before they impact users.Manage the deployment pipeline comprehensively: CI/CD, preview and staging environments, and the transition from local development to production.Develop internal tools and abstractions that empower the product team to expedite their delivery without compromising quality.

At Scalable Capital, we are pioneers in cloud-based financial services. Our infrastructure is built entirely in the cloud, harnessing cutting-edge serverless technologies like AWS Fargate and Lambda. We adopt a multi-account strategy for optimal workload separation, ensuring efficiency and security.As part of the Core Tribe, the Network Engineering team oversees the extensive cloud platform that forms the backbone of Scalable's infrastructure. We deliver scalable core network services, utilizing the latest cloud-native technologies while ensuring reliable connections with our external partners. The team is also responsible for designing and maintaining reusable infrastructure components, offering vital support to our development teams. Our collective efforts lay a robust foundation for the creation of innovative financial services.In your role within the Network Engineering team, you will:Enhance Scalable's cloud infrastructure and automation through tools such as AWS, Terraform, and programming languages like Python or Go.Design, maintain, and operate multiple cloud networks on AWS, ensuring a secure and highly available infrastructure for our internal development teams.Oversee financial middleware systems, guaranteeing high-availability connectivity for our critical applications and partner integrations.Support, guide, and empower our engineering teams to foster a strong DevOps culture.

ABOUT TALON.ONE:Talon.One is a cutting-edge incentives engine that seamlessly integrates loyalty, promotions, and gamification into a single, powerful platform. With enterprise-grade security and scalability, Talon.One enables organizations to craft personalized, profitable promotions and loyalty programs using any data they choose.Currently, over 250 of the world’s most beloved brands, including Adidas, Sephora, and Carlsberg, leverage Talon.One to foster deeper engagement and cultivate lasting loyalty among their customers.ABOUT THE TEAM:We are a dedicated cross-functional team comprising engineers, data scientists, product managers, and an engineering manager, all focused on data solutions. You will play a pivotal role within our expanding Intelligence Tribe, where we are enthusiastic about exploring new tools and technologies. Our culture thrives on collaborative brainstorming to tackle challenges and implement best practices.ABOUT THE ROLE:We are on the lookout for a Senior MLOps Engineer to become a vital member of our dynamic Intelligence Platform team. In this position, you will design, develop, and maintain a robust MLOps infrastructure and workflows that facilitate the deployment, monitoring, and scalability of our machine learning models. Collaboration with data scientists, engineers, and the Infrastructure team will be key as we work to optimize the machine learning lifecycle and introduce innovative solutions into production.ONCE YOU ARE HERE, YOU WILL:Develop and sustain MLOps pipelines that automate data preparation, model training, evaluation, deployment, and monitoring of ML models and data pipelines.Design scalable infrastructure using our cloud platform and technologies such as Kubernetes, Docker, and Terraform.Implement CI/CD processes for ML models, ensuring reproducibility, reliability, and version control.Monitor model performance and data drift in production, instituting automated retraining workflows as necessary.Collaborate with data scientists and engineers to operationalize machine learning models in a secure, efficient, and scalable manner.Oversee model registries, metadata tracking, and experiment management tools.Promote and assist in the implementation of MLOps best practices organization-wide.Ensure adherence to security, governance, and ethical AI standards.WHAT WE EXPECT YOU TO BRING TO THE TABLE:6+ years of experience in MLOps or related fields.

JOIN US IN TRANSFORMING EDUCATIONAt knowunity, we are pioneering a new era of learning. Our vision is to ensure that every student worldwide can access and thrive through exceptional educational resources. We are committed to establishing the first AI learning unicorn, revolutionizing personalized education.With millions of users already benefiting from our innovative AI learning companion, we are excited to announce our recent €27 million funding round aimed at seizing the immense potential of the AI learning market, enabling true personalization for 1 billion students.YOUR ROLEAs a Flutter Engineer, you will have the unique opportunity to influence the future of student learning. Engineering lies at the heart of our mission, and you will play a pivotal role in this transformation through:Creating engaging video content at scale with a personalized approachImplementing topic prediction and real-time guidance to enhance AI-driven personalizationDeveloping innovative practices that outshine outdated models like QuizletDelivering diverse, interactive learning experiences beyond traditional textExploring new learning methods tailored for Generation AlphaFacilitating social learning experiences through AI companionsRapidly deploying A/B tests to millions of usersYour contributions will not only enhance how students engage with learning materials but also drive our daily active users, retention rates, and long-term impact. You will witness your innovations directly influencing the study habits and success of millions globally.WHO WE SEEK

Join our innovative team as a Senior Platform Engineer, where you will play a crucial role in shaping the future of urban mobility. Your expertise will help us build and maintain scalable and efficient platforms that enhance our services. Collaborate with talented professionals in a dynamic environment that encourages creativity and innovation.

The AML AI Engineering Squad, a dynamic cross-functional team within the Risk & Compliance tribe, is at the forefront of developing state-of-the-art data products and machine learning solutions. Our mission is to enhance Transaction Monitoring and safeguard our merchant base against Money Laundering and Financial Crime. We leverage automation, AI, and engineering excellence to create innovative products that empower Risk and AML teams to operate more intelligently and efficiently.As a Senior Data Engineer, you will play a pivotal role in establishing a robust, high-quality data foundation that enhances efficiency, drives AI-driven automation, and facilitates data-informed decisions for our Risk and AML teams. Your expertise will be crucial in building and maintaining data pipelines within our system, ensuring that analysts, product managers, and AI systems have access to reliable and trusted data.Join us in shaping the future of financial safety and making a significant impact!