Engineering Manager

About Air Apps Air Apps builds AI-powered tools for resource management, including the Personal & Entrepreneurial Resource Planner (PRP). Founded by a family in 2018, the company started in Lisbon, Portugal, and now has a growing presence in San Francisco. Air Apps has reached over 100 million downloads worldwide and remains self-funded. The team focuses on long-term goals and regularly challenges established approaches, pushing the boundaries of AI to create products that help people manage their resources more effectively. Role Overview: Release Engineer The Release Engineer manages the end-to-end release process for Air Apps products. This role covers versioning, build management, and deployment workflows, making sure new features and updates reach users reliably. Working onsite in the Lisbon office, the Release Engineer collaborates with development, QA, DevOps, and product teams. The focus is on improving and automating release cycles, reducing risk, and maintaining high standards for software delivery. This is a fully onsite position in Lisbon. Relocation assistance is available for those moving to join the team. Main Responsibilities Oversee and improve versioning, build, and deployment processes for Air Apps applications Work closely with engineering, QA, DevOps, and product teams to coordinate releases Automate release workflows where possible Identify and address risks in the release cycle Help maintain high standards for software delivery Location Onsite in Lisbon office (relocation assistance provided)

Our MissionAt Neko Health, we are on a mission to revolutionize healthcare by transitioning from a reactive model of treating illnesses to a proactive approach focused on prevention. Our advanced non-invasive technology, combined with clinical expertise, empowers individuals with early, actionable health insights.Role OverviewAs a Lead Software Engineer within the Product Engineering team, you will take charge of designing and developing high-quality, fail-proof user experiences for our member-facing applications and clinical processes. This pivotal role merges deep system design, innovative product thinking, and excellence in AI-driven engineering.You will set the standard in an environment where engineers prioritize understanding the 'why' before determining the 'how.' You will own outcomes end-to-end and seek architectural innovations or automation that can deliver substantial improvements. Collaborating across Product, Data Science, and Hardware teams, your decisions will have a direct impact on member trust, clinic reliability, and Neko's growth trajectory.What You Will Achieve in Your First 6 to 12 MonthsBecome an integral contributor within the first 3 months, taking ownership of significant areas within the Member Experience or Medical Excellence product domains.Design and implement end-to-end features that greatly enhance customer journeys, ensuring smooth, resilient, and clinically safe experiences.Introduce and advocate for AI-first workflows, utilizing tools like Claude Code to streamline processes, allowing you to focus on impactful system design.Clarify challenges in ambiguous areas, proactively identify issues, ask insightful questions regarding context and intent, and provide transparent feedback even when solutions are not straightforward.Lead essential reliability and quality initiatives to ensure that member-facing systems are robust, scalable, and capable of sustaining Neko's rapid expansion.Mentor and influence fellow engineers, elevating standards for technical excellence, problem-solving, and customer-centricity.Collaborate with cross-functional teams across Product, Data Science, and Hardware to ensure system design aligns with real-world clinical and operational requirements.

Join our team as a Senior/Lead Commissioning Engineer in the dynamic field of plant engineering. In this role, you will be responsible for overseeing the commissioning process of complex systems, ensuring that all components operate seamlessly to deliver optimal performance. You will collaborate closely with project managers, designers, and technical teams to implement engineering solutions that meet both safety and efficiency standards.

N26 is looking for a Site Reliability Engineer to join the Platform Engineering team in Berlin. This role centers on maintaining and improving the reliability, performance, and scalability of core systems. Role overview Work closely with cross-functional teams to support and enhance the platform. The focus is on building solutions that keep systems stable and responsive as the company grows. What you will do Monitor and improve system reliability and uptime Collaborate with other teams to address performance and scalability challenges Contribute to solutions that strengthen the platform’s technical foundation Location This position is based in Berlin.

Join us as an Engineering Manager on our Observability Reliability Engineering Obsession (OREO) team within Platform Engineering.In this role, you will spearhead the Reliability & Observability team, enhancing Doctolib's observability platform to support our rapid service expansion while empowering a top-tier SRE team.Working in our technology team means creating innovative products and features that enhance the experiences of care teams and patients. We operate in agile feature teams, collaborating closely with product, design, and business teams.You will lead a group of Site Reliability Engineers dedicated to defining our observability strategy and ensuring our platform's reliability, debuggability, and scalability. This role combines people management, technical leadership, and strategic planning, emphasizing the development of organizational capabilities in logging, metrics, tracing, and alerting.Your team is also responsible for managing crucial transversal services that facilitate secure, scalable infrastructure management throughout the organization, such as HashiCorp Vault for secrets management and Terraform Enterprise for infrastructure as code.

Transform the future of travel Join GetYourGuide on an exciting journey to connect travelers with unforgettable experiences worldwide. Our platform is trusted by millions seeking unique activities, and we are dedicated to making every journey extraordinary - including yours! Are you ready to unlock your potential with a community of fellow explorers? Explore opportunities at our Berlin headquarters or in one of our local offices worldwide, from New York to Bangkok. Visit getyourguide.careers to embark on your next adventure. Team Mission Within the Growth Data Engineering team, part of the strategic Flywheel Data Engineering group, our mission is to establish trusted data foundations and self-service capabilities for customer growth in our marketplace. We ingest, integrate, and structure essential internal and external datasets into dependable tables, metrics, and data products, empowering GetYourGuide to acquire and retain customers efficiently. Our close collaboration with Growth Analytics, Product, and Data teams enables accelerated and confident decision-making. Your Mission Create end-to-end data solutions independently: Provide reliable, high-quality datasets and pipelines that support traveler-facing decisions (e.g., acquisition, conversion, engagement, retention). Act as a trusted thought partner: Collaborate with Product and Data teams to translate business needs into actionable outcomes and promote the adoption of self-service data capabilities. Exhibit technical excellence: Implement best practices in code quality, data modeling, testing, and monitoring; contribute to operational support to enhance reliability over time. Enhance existing production systems: Pragmatically refactor and simplify current pipelines/models, address data quality issues at their source, and execute targeted performance and cost optimizations within your scope. Contribute to team success: Engage in planning, roadmaps, code reviews, and knowledge sharing to elevate team effectiveness. Maintain an operational mindset: Balance operational responsibilities with new solution development, prioritizing improvements based on team service-level objectives.

About the Role Statista is looking for an Engineering Manager to guide the Data & Analytics Engineering team in Hamburg or Berlin. This role centers on leading projects, supporting team growth, and working closely with other groups to deliver strong data solutions for the company. What You Will Do Oversee and coordinate projects within the Data & Analytics Engineering team Mentor and support team members in their professional development Work with cross-functional teams to build and improve analytical tools and data-driven solutions Help strengthen Statista’s analytical capabilities to support informed decision-making Location This position is based in Hamburg or Berlin.

Transform the Travel ExperienceEmbark on an exciting journey with GetYourGuide, where we strive to connect travelers with unforgettable experiences worldwide. With millions relying on us for unique and trustworthy activities, we are dedicated to making every journey remarkable - including yours.Are you ready to unleash your potential within a community of fellow adventurers? Discover your next opportunity at our headquarters in Berlin or in one of our local offices across the globe, from New York to Bangkok. Visit getyourguide.careers to get started.Team MissionAs part of the Traveler Data Engineering team within the strategic Flywheel Data Engineering group, our mission is to establish robust data foundations and self-service capabilities for the traveler side of our marketplace. We ingest, integrate, and structure crucial internal and external datasets into reliable tables, metrics, and data products that enhance the customer experience throughout their journey. Collaboration with Product and Data teams is key to enabling faster and more confident decision-making.Your ResponsibilitiesIndependently Build End-to-End Data Solutions: Create reliable, high-quality datasets and pipelines that support traveler-related decision-making, including acquisition, conversion, engagement, and retention.Act as a Trusted Thought Partner: Collaborate closely with Product and Data teams to translate business needs into actionable outcomes and promote the adoption of self-serve data capabilities.Deliver High Technical Craft: Implement best practices in code quality, data modeling, testing, and monitoring. Contribute to the operational support of your delivered solutions and enhance their reliability over time.Enhance Existing Production Systems: Proactively refactor and simplify existing pipelines/models, address data quality issues at their source, and implement targeted performance and cost improvements.Contribute to Team Outcomes: Engage in planning, roadmapping, code reviews, and knowledge sharing to boost team effectiveness.Maintain a Strong Operational Mindset: Balance operational duties with the development of new solutions, using team SLOs as guidance.

Gestalten Sie die Infrastruktur der Zukunft mit! Wenn Sie über fundierte Erfahrungen im Wasserbau verfügen und aktiv an der Umsetzung von Wasserbauprojekten von der Planung bis zur Realisierung mitwirken möchten, sind Sie bei Drees & Sommer genau richtig. Hier erwarten Sie spannende Herausforderungen und die Möglichkeit, Ihre Fähigkeiten in einem dynamischen Umfeld weiterzuentwickeln. Nutzen Sie Ihre Expertise, um gemeinsam mit uns an der Energiewende für eine nachhaltige Zukunft zu arbeiten!Eigenverantwortliche Planung, Konzeption und Leitung von Projekten im Tief- und Wasserbau, einschließlich Kaianlagen, Uferwänden, Schiffsanlegern und Hafeninfrastruktur.Verantwortung für die fachgerechte und termingerechte Umsetzung der Bauplanung.Entwicklung und Führung des Ihnen zugeordneten Teams von Projektingenieuren.Gewährleistung der Einhaltung von Qualitätsstandards und gesetzlichen Vorschriften.Engagierte Zusammenarbeit mit interdisziplinären Projektteams und Fachbereichen.

Join Affinidi as the Director of Engineering and lead our innovative team in Berlin. You will be responsible for driving engineering excellence, overseeing project delivery, and fostering a culture of collaboration and creativity. This is a unique opportunity to influence the direction of our technology initiatives and mentor a talented group of engineers.

We are seeking a talented and passionate Agent Engineer to join our innovative team at langdock. As an Agent Engineer, you will be responsible for developing and implementing cutting-edge solutions that enhance our product offerings. You will work closely with cross-functional teams to deliver high-quality software that meets the needs of our clients.

Join our dynamic team as a Senior Structural Engineer (m/w/d) specializing in innovative civil engineering solutions. In this role, you will leverage your expertise to design, analyze, and oversee the construction of complex structures. You will collaborate with multidisciplinary teams to deliver projects that meet both technical and aesthetic standards.

Join Almedia, where ambition meets opportunity! We are not your typical workplace; we are on a mission to become Germany’s next bootstrapped unicorn, currently recognized as Europe’s #3 fastest-growing company in 2025 (FT1000).At Almedia, we revolutionize marketing by empowering our community of over 60 million users to engage with leading global advertisers, providing an innovative approach to user acquisition.

Join Zauber as a Founding Engineer and play a crucial role in redefining the logistics industry through cutting-edge AI technology. You will collaborate closely with our founding team and engage directly with customers to transform innovative ideas into real-world applications. This high-impact position involves developing full-stack features that merge user-friendly interfaces with sophisticated backend systems. You'll be at the forefront of pushing the boundaries of AI capabilities, helping us scale from initial concepts to fully operational systems.

About Us:At BigID, we are a pioneering technology startup dedicated to providing cutting-edge solutions in data security, compliance, privacy, and AI data management. As market leaders in data innovations, we empower organizations to mitigate risks, foster business growth, ensure compliance, enhance customer trust, make informed decisions, and maximize the value of their data.We are assembling a global team that is passionate about technological advancements and innovation. BigID has earned numerous accolades, including:Recognized as a Hot Company in Artificial Intelligence and Machine Learning at the Global InfoSec AwardsFeatured in the Citizens JMP Cyber 66 List of the Hottest Privately Held Cybersecurity CompaniesListed in the CRN 100 as one of the 20 Coolest Identity Access Management and Data Protection Companies for three consecutive yearsIncluded in the DUNS 100 Best Tech Companies to Work ForNamed one of the Top 3 Big Data and AI Vendors to Watch in the 2023 BigDATAwire Readers and Editors Choice AwardsHonored in the 2024 Inc. 5000 list for the fourth consecutive yearShortlisted for the 2024 AI Awards for Best Use of AI in CybersecurityAt BigID, our exceptional team is the cornerstone of our success. Join a vibrant culture that is fast-paced and rewarding, where you will collaborate with some of the brightest minds in the industry who value innovation, diversity, integrity, and teamwork.Who We Are Looking For:We are expanding our Solutions Engineering team and are on the lookout for exceptional Engineers to join our successful team. This group works in close collaboration with innovative organizations eager to leverage BigID’s platform. Your expertise will help influence customer decisions, provide valuable solutions, and facilitate effective proof-of-value implementations. With your strong technical skills, critical thinking, and enthusiasm for dynamic problem-solving, you will be prepared to make an immediate impact.Requirements:We are seeking candidates based in Germany who are fluent in both English and German.

Join Metacore as a Build Engineer, where you will play a pivotal role in shaping our gaming projects. Your expertise will ensure smooth integration and deployment processes, driving efficiency and innovation in our software development lifecycle.

airapps is hiring a Mobile DevOps Engineer in the Berlin Metropolitan Area. This position centers on improving the deployment and infrastructure of mobile applications by working closely with both development and operations teams. Role overview The Mobile DevOps Engineer will focus on automating processes and refining workflows. The goal is to support efficient delivery of high-quality mobile apps. Collaboration across teams is essential to ensure smooth integration and deployment cycles. What you will do Work with development and operations groups to optimize mobile app deployment Automate routine processes to reduce manual effort Streamline workflows for faster and more reliable releases Location This role is based in the Berlin Metropolitan Area.

Machine Learning Engineer Company Overview At Orcrist Technologies, we are pioneers in building the Orcrist Intelligence Platform (OIP), a cutting-edge Kubernetes-based data intelligence system. Our platform is offered as either SaaS or a self-hosted/on-premises solution, including air-gapped deployments. We integrate data processing, machine learning, and artificial intelligence within a modern web application to empower mission-critical clients across both public and private sectors. Role Overview As a Machine Learning Engineer, you will spearhead the incubation and validation of new ML initiatives from conception to execution. In this innovative role, you will create adoption-ready prototype vertical slices that encompass data flows, model serving, evaluation, and seamless product integration. You will ensure clear handoff of artifacts to delivery teams so they can effectively productize and maintain them for the long haul. Key Responsibilities Develop ML prototype vertical slices that bridge data ingestion and processing with inference and end-user product outcomes (such as search functionalities, insights generation, and user experience flows). Establish evaluation harnesses and decision-making artifacts including datasets, baselines, and performance metrics (quality, latency, cost), along with actionable go/no-go recommendations. Package prototypes for seamless adoption: containerize services, specify reproducible deployment strategies, and create comprehensive runbooks/checklists. Collaborate with Research and Data Engineering teams for dataset curation, annotation processes, experiment tracking, and iterative improvements. Ensure operational credibility of prototypes through instrumentation, monitoring, and foundational security/compliance practices (including handling of personally identifiable information and provenance considerations). Candidate Profile A minimum of 3 years of experience in ML engineering or MLOps, with a proven track record of delivering tangible systems. Proficient in Python and experienced with PyTorch/Transformers; adept at transforming models from notebooks into deployable services. Hands-on experience with Kubernetes and containerization; capable of deploying and troubleshooting within production-like environments, including offline or air-gapped constraints. A strong evaluation mindset and monitoring discipline; effective in clearly articulating trade-offs. Eligibility to work in Germany; EU or NATO citizenship is preferred, and export-control screening applies. Preferred Qualifications Experience with GPU serving and optimization techniques (e.g., Triton/KServe, ONNX/TensorRT, batching, quantization). Familiarity with streaming and pipeline tools (e.g., Kafka, Ray, Beam/Flink/Spark) and integrations involving search, vector, and graph technologies. Proficiency in the German language (B1+) and/or experience working with regulated or public-sector datasets and workflows. What We Offer A modern ML stack designed to operate within real-world constraints: Kubernetes, streaming technologies, and hybrid/on-prem/air-gapped deployments. A remote-first work environment in Germany, complemented by regular workshops in Berlin, 30 days of vacation, and support for equipment and learning budgets. High impact: your prototypes will pave the path for groundbreaking solutions.

About AndercoreAndercore is an innovative AI-driven trade platform that is revolutionizing the industrial supply sectors in infrastructure, energy, and construction materials. Our platform seamlessly connects rigorously vetted suppliers across Asia, Europe, and the GCC region with local demand, all through a single, integrated solution.Utilizing our proprietary AI stack, we digitize and automate the entire lifecycle of materials trade—from procurement and pricing to inventory management, logistics, and embedded financing—effectively replacing countless manual, relationship-driven processes with real-time orchestration.Our buyers enjoy immediate quotes, dependable availability, and consistent delivery via a unified operating system. Meanwhile, our suppliers benefit from precise forecasting, disciplined demand management, and easy integration into cross-border fulfillment networks. We collaborate with leading brands to execute both dropship and cross-dock fulfillment strategies for large-scale transactions, transforming global supply chains into predictable, repeatable workflows akin to software.Having rapidly scaled to triple-digit-million GMV, Andercore operates across six international markets and is advancing towards profitability. Our dynamic team of over 80 professionals spans our headquarters in Berlin and offices in Asia, as we strive to build the world’s first industrial-grade AI operating system for materials—redefining the workings of global trade in one of the most critical industries.Backed by esteemed investors and global institutional banking partners, we recently completed a $40 million Series B funding round with contributions from Atomico, Project A, and Invent Capital, along with institutional support from Commerzbank and KfW.In this strategic and hands-on leadership role, you will serve as the Vice President of Engineering, responsible for ensuring the stability, performance, and reliability of our current AI-first marketplace platform, while also leading the transition towards more scalable, cloud-native, and service-oriented architectures. This evolution is crucial to support rapid innovation and long-term growth.Collaborating closely with our CEO, CPTO, and Product and Design leadership, as well as a high-caliber engineering team, you will translate our ambitious product and business vision into reliable, well-architected technology. This role presents a rare opportunity to shape both our current platform and the future technical foundation of an AI-driven marketplace that is scaling in complexity and size.