Senior AI-Native Fullstack Engineer (m/f/d) - Data & Analytics

zvoove

JOB DESCRIPTION We are looking for a Senior AI-Native Fullstack Engineer with a DevOps focus to support multiple engineering projects across AI-powered applications, SaaS platforms, and cloud-native solutions. This is not a traditional DevOps-only role. The role combines application engineering with infrastructure ownership: building services, APIs, automation and internal tools, while also running cloud infrastructure, deployments, observability and production operations. The ideal profile is a strong fullstack or backend engineer, preferably TypeScript-heavy, with hands-on depth in AWS, Infrastructure as Code, containers, networking, permissions, secrets and observability. With modern AI and LLM tooling, repetitive engineering, infrastructure, debugging and automation work can be accelerated dramatically. We expect someone who uses AI-native workflows to investigate in parallel, generate and validate infrastructure changes, and support teams with high-quality execution. What We’re Looking For We are looking for a builder who can move across the full delivery chain: application code, infrastructure code, deployment, runtime configuration and production troubleshooting. You should be someone who: * Builds application software and owns the infrastructure behind it * Uses AI as a default development and troubleshooting workflow * Cares about reliability, security, automation, observability and maintainability * Chooses simple solutions, owns outcomes, and verifies aggressively YOUR TASKS * Fullstack Engineering: Build services, APIs, scripts, automation, internal tools and lightweight frontend functionality where useful, mainly in TypeScript * Infrastructure & Cloud Setup: Use IaC, ideally AWS CDK, to build pragmatic cloud patterns across containers, databases, queues, storage, networking, DNS, secrets and runtime configuration * ECS Fargate Operations: Deploy and troubleshoot ECS Fargate workloads, including task definitions, services, load balancers, IAM roles, logs, scaling and deployment behavior * Security, Observability & Troubleshooting: Handle IAM, least privilege, secrets, logs, metrics, alarms, failed deployments, configuration issues, networking problems and runtime incidents YOUR PROFILE AI-Native Development & Operations * Hands-on use of Claude Code, Codex or similar advanced AI tools; Copilot-style autocomplete is not enough * Uses agents for development, infrastructure changes, debugging and operational investigation, while strongly reviewing and testing AI-generated code, scripts and configuration Fullstack / Software Engineering * Strong fullstack or backend engineering experience, especially with TypeScript; able to build production services, APIs, scripts, tools and automation * Comfortable across application code, infrastructure code, deployments and runtime systems, from problem clarification to production rollout Cloud, IaC & DevOps Operations * Strong IaC and AWS or similar cloud experience, ideally AWS CDK with TypeScript, across containers, ECS Fargate, networking, IAM, secrets, DNS, storage, databases, queues and runtime configuration * Strong observability, security and delivery judgment: logs, metrics, traces, dashboards, alarms, least privilege, deployment safety, pipeline permissions and safe developer access * Pragmatic production debugger with good judgment on scalability, availability, cost, security, operational trade-offs and clear English communication Good Fit You may be a good fit if you are a fullstack/backend or TypeScript engineer with strong AWS, IaC and DevOps experience; a DevOps/platform or SRE-minded engineer with real software engineering depth; or an AI-native builder using LLMs and agents daily for real development and infrastructure work. Not a Good Fit This role is probably not the right fit if you are mainly an infrastructure admin who avoids coding, a pipeline-only DevOps profile, a pure application developer with no cloud ownership, someone who only wants predefined tickets, or someone who does not actively use and validate AI-generated infrastructure, scripts and configuration. YOUR BENEFITS * Work across AI-powered SaaS and cloud-native products, use modern AI tooling daily, and shape pragmatic infrastructure that helps teams ship faster and more safely * Collaboration in an empathetic, appreciative team with room to contribute ideas and take ownership * Individual development opportunities, structured onboarding, and interdisciplinary collaboration * Flexible working models including hybrid work, home office, and mobile working * A modern tech environment and agile ways of working * Additional benefits such as pension plans, health offers, and employee discounts I LOOK FORWARD TO RECEIVING YOUR APPLICATION Svenja Krüßel D-49835 Wietmarschen-Lohne Tel.: 0170-7888740 E-Mail: career@zvoove.com

Aleph Alpha

OUR MISSION Aleph Alpha is one of the few companies in Europe doing serious foundation model pre-training. Our customers - in finance, manufacturing, public administration - need models that understand German, meet European regulatory requirements, and work reliably in high-stakes settings. We're building that in Heidelberg. We're growing our pre-training team and hiring someone to passionately work on data: defining what goes into our models, building the systems that source and prepare it, and ensuring our training team has the highest-quality data to push model capabilities forward. TEAM CULTURE At Aleph Alpha, we foster a culture built on ownership, autonomy, and empowerment. Teams and individual contributors are trusted to take responsibility for their work and drive meaningful impact. We maintain a flat organizational structure with efficient, supportive management that enables quick decision‑making, open communication, and a strong sense of shared purpose. ABOUT THE ROLE As a Senior AI R&D Engineer in Pre-training Data, you will work across the full stack of data preparation - from sourcing and acquisition to processing, filtering, and mixture design. Some weeks you'll be deep in data quality analysis, understanding what makes a corpus valuable and how its composition affects downstream performance on public and bespoke evaluation tasks. Other weeks you'll be optimising large-scale processing pipelines or building tooling that gives the team visibility into what our models are actually training on. And some weeks you'll be reading the latest research on pre-training data methods, translating findings into experiments you can run against our stack. We approach data work in an evidence-based way. Decisions about filtering strategies, data mixtures, and quality thresholds are backed by ablations - you'll design and run targeted experiments to validate that your data choices actually improve model outcomes. We are looking for someone that combines significant research experience (in industry or academia) with high engineering competence. Your work sits at high leverage: the data you source, curate and synthesize directly determines what our models learn, how well they perform, and where they fall short. You'll have direct influence on the models we ship. YOUR RESPONSIBILITIES * Co-Own data pipelines end-to-end: Design, build, and maintain the infrastructure that sources, processes, deduplicates, filters, and prepares pre-training corpora at scale. Own the conversion from curated corpora to training-ready streaming formats. * Curate and compose data mixtures: Define and iterate on the data blends used for pre-training - balancing domains, languages, quality tiers, and licensing requirements to maximise model capability. * Build data quality tooling: Develop classifiers, heuristics, and analysis frameworks that measure and enforce data quality across terabyte-scale corpora. Monitor pipeline health and data quality metrics at scale. * Close data gaps: Work with evaluation and post-training teams to identify where model weaknesses trace back to data coverage, then source or generate the data needed to address them. * Collaborate with post-training: Partner closely with the post-training team to ensure pre-training data decisions support downstream fine-tuning, alignment, and deployment goals - data choices upstream shape what's possible downstream. * Co-Own German-language data: Ensure deep, high-quality coverage of German-language corpora - this is core to our value proposition, not an afterthought. * Establish data-to-performance signal: Design and run ablation studies to validate data choices - measuring how changes in composition, filtering, or sourcing affect pre-training evaluation metrics and downstream capabilities. * Take data transparency seriously: Maintain data lineage and provenance so the team knows exactly what went into each training run. YOUR PROFILE BASIC QUALIFICATIONS * Track record of shipping impactful technical work - whether that's research, infrastructure, or both. * Strong Python skills and comfort with data engineering and ML infrastructure, including experience with deep learning frameworks, workflow orchestration, object storage, columnar data formats, and distributed processing. * Ability to reason about what a dataset contributes to model training and whether it matters - not just process data, but understand it. * Ownership mentality: you see problems through from diagnosis to solution to deployment. * Willingness to relocate to Heidelberg or travel at least fortnightly. PREFERRED QUALIFICATIONS * Experience with large-scale data processing for ML, including corpus sourcing, curation, cleaning, deduplication, and filtering. * Familiarity with data quality methods: classifier-based filtering, heuristic scoring, perplexity-based selection, and decontamination. * Understanding of foundation model training - how data composition, scale, and mixing ratios affect capabilities. * Experience with web-scale data sourcing and crawl processing (e.g., Common Crawl, WARC pipelines). * Rust proficiency (parts of our data pipeline are performance-critical). * Infrastructure knowledge - experience with Kubernetes, container orchestration, or cloud-native ML infrastructure. * PhD in machine learning, NLP, data engineering, or a related field (valued but not required - we care about what you can do). * Bonus, but not required: German language proficiency can be helpful for curating and assessing German-language data. COMPENSATION AND BENEFITS * Become part of an AI revolution! * 30 days of paid vacation * Access to a variety of fitness & wellness offerings via Wellhub * Mental health support through nilo.health * Substantially subsidized company pension plan for your future security * Subsidized Germany-wide transportation ticket * Budget for additional technical equipment * Flexible working hours for better work-life balance and hybrid working model * JobRad® Bike Lease *

Neo4j

About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision:  At Neo4j, we have always strived to help the world make sense of data.   As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. THE ROLE Neo4j is the leader in graph analytics, and our cloud platform is at the heart of powering data-driven innovation for thousands of users worldwide. We are on the lookout for versatile Full-Stack Engineers to help us design and build exceptional features that lower the bar for users to perform graph analytics. In this role, you will own the user-facing surface of those products. You'll help new users get to value quickly by reducing friction in their first workflows, and make our internal tooling effective enough that the rest of the team can support and operate the service confidently. You will work closely with our internal design system at neo4j.design, and collaborate across product, design, backend, and SRE to ship cohesive, end-to-end experiences. This is a mid-to-senior role at the intersection of product UX, graph analytics, and cloud data platforms. WHAT WE VALUE We’re looking for engineers with experience in both frontend and backend development. You should have experience designing APIs, implementing data persistence, and integrating with third-party services. Familiarity with automated testing approaches, from unit testing to full-stack integration tests, is important. A willingness to learn, grow, and tackle new challenges as part of a distributed and collaborative team is essential. WHAT YOU'LL DO As a Software Engineer, you’ll play a key role in delivering impactful features that enhance how users interact with Neo4j Aura graph analytics. You’ll work on everything from user-friendly interfaces to robust back-end systems, ensuring our solutions are scalable, reliable, and adaptable to diverse user needs. * Build and evolve the Aura Graph Analytics user experience inside the Neo4j Aura console. * Develop and maintain the in-app GUI for the Neo4j Graph Analytics App for Snowflake, an application that guides users through a multi-step workflow: selecting Snowflake data, projecting them as graphs, configuring and running algorithms, and writing back. * Design the graph-projection and algorithm-configuration UX for users who are not graph experts: clear workflow steps, sensible defaults, validation, and interactive previews of sampled graphs. * Improve the internal support tooling used to inspect the state of Aura Graph Analytics deployments and diagnose customer issues. * Use our shared design system (neo4j.design) so our products feel like one family. * Partner closely with product, design, backend, and SRE to ship cohesive end-to-end experiences across team boundaries. WHAT YOU'LL BRING * Experience building and shipping production-quality software. * Strong TypeScript / JavaScript skills and significant frontend experience in production codebases. * Solid experience with React and modern frontend tooling (such as Tailwind). * Comfort collaborating with designers in Figma (or similar tools) and translating designs into accessible, responsive UI. * A user-centric mindset and a genuine interest in product UX, not just shipping components. * Experience creating API services in Golang, Java or Python BONUS POINTS * Experience working with Spotify’s Backstage framework. * Familiarity with graph data, graph algorithms, or data-science workflows. * Experience with Python-based UI tooling such as Streamlit and AnyWidget. * Experience with Snowflake, Snowpark, and building UIs that run inside a Snowflake Native App. #LI-Hybrid Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j.  * Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years.  * Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. * 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific, BT Group, Caterpillar, Cisco, Comcast, Department for Education UK, eBay, NBC News, Novo Nordisk, Worldline, and others.  * Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. * Countless industry awards. Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. * A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers.  Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues.  One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments)  Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide.  More information at www.neo4j.com.   ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.