senior applied ai / ml data engineer (f/m/x)

(junior) cloud site reliability engineer (network) (m/f/x)

(senior) cloud site reliability engineer (scalability) (m/f/x)

director, it engineering - end user support

senior devops engineer

senior applied ai / ml data engineer (f/m/x) Jobs in Munich

senior software engineer

(junior) cloud site reliability engineer (network) (m/f/x) Jobs in Munich

(senior) cloud site reliability engineer (scalability) (m/f/x) Jobs in Munich

senior cloud site reliability engineer scalability m f x

Scalable

<div>Company Description 
Scalable Capital is a leading digital investment and banking platform with a full banking licence, empowering people across Europe to shape their own finances. Scalable Broker makes it easy and affordable for clients to invest professionally in stocks, ETFs, cryptocurrencies, and derivatives, as well as set up savings plans. Scalable Wealth, the digital wealth management service, offers clients professional investment in ETF portfolios, and is also adopted as a white-label solution by banks and other B2B partners. The company&rsquo;s offerings are rounded off by attractive interest rates, loans, and private equity. With the European Investor Exchange, Scalable Capital offers an exchange specifically for retail investors. Over one million clients have already entrusted more than &euro;30 billion to the platform. 
 
Founded in 2014, Scalable Capital now employs over 700 people across Munich, Berlin, Vienna, Milan, and London. Together with the founding and management team, including Erik Podzuweit and Florian Prucker, they are working on a new generation of financial services.
Visit our finance blog or check out our Social Media channels to find out what our Expert Teams have to say. 
 
Our Company Values guide us every day in how we work and collaborate. To learn more about them, you can find our values here (English). 
Job Description 
Our team's mission is to ensure that teams can scale up their services while being performant, reliable and cost optimised through self-service tooling and transferring best-practices for observability, load-testing, services discoverability, chaos engineering and FinOps.
Scalable Capital was built in the cloud from day one. Our services currently run on various AWS services like ECS, Fargate and Lambda and are distributed across multiple accounts. We embrace a DevOps culture where the development teams manage their CI/CD pipelines and cloud infrastructure for their services themself. Our Scalability Engineering Team focuses on providing everything necessary to ensure Reliability and Scalability of our services and storages while being cost efficient. This includes solutions for Monitoring, AutoScaling, Load Testing, Chaos Engineering and FinOps.<ul><li>
Shape the way how Scalable runs microservices in the most performant, secure and cost efficient way.</li><li>
Collaborate with cross-functional teams to identify and understand scalability requirements for our platform, both in terms of user growth and increasing data volume.</li><li>
Design and rollout Monitoring best practices in Datadog including SLI, SLO and SLAs</li><li>
Research and develop service and storage improvements by using serverless technologies and optimise our services and CICD to optimise scalability, cost and performance</li><li>
Develop and maintain internal tooling around Monitoring, Developer Portal and Load Testing</li><li>
Mentor and enable our software development teams to further foster our DevOps culture by educating them and providing reusable and unified building blocks which can be used to improve scalability, reliability and performance of existing and new services</li><li>
Stay up-to-date with the latest industry trends, tools, and techniques related to scalability and performance engineering.</li><li>
Design and implement best practices around auto scaling of our infrastructure</li><li>
Run chaos engineering experiments to improve resilience of our services</li></ul> 

Qualifications 
<ul><li>
Multiple years of experience with AWS and infrastructure as code (preferably Terraform)</li><li>
Solid experience in Monitoring, Container Orchestration and Microservice setups is required</li><li>
Good working knowledge with Python, at least one additional general purpose programming language (Preferably Java/Kotlin or JavaScript/Node.js) and build automations tools</li><li>
Solid understanding of scalable system design principles, distributed systems, and cloud technologies</li><li>
Experience with GitHub Actions and Jenkins would be beneficial</li><li>
A passion for automating, improving processes and working together with other developer teams</li><li>
A degree in a relevant field of study (e.g. computer science, engineering, sciences) or work experience in a role that typically requires a university degree</li><li>
Full professional proficiency in English and the ability to communicate concisely in an international English-speaking environment</li><li>
Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.</li></ul> 

Additional Information 
<ul><li>
Be part of one of the fastest-growing and most visible Fintech startups in Europe, creating innovative services that have a substantial impact on the lives of our customers</li><li>
Work with an international, diverse, inclusive, and ever-growing team that loves creating the best products for our clients</li><li>
Work from our centrally located offices in the heart of Munich or Berlin, nestled in lively neighborhoods filled with vibrant restaurants, cozy caf&eacute;s, and a wide range of convenient amenities or choose to work remotely within Germany (if eligible for the job)</li><li>
Be productive with the latest hardware and tools</li><li>
Learn and grow by joining our in-house knowledge sharing or career development sessions and spending your individual Education Budget</li><li>
Learn and experience German culture first hand by joining our free German language classes</li><li>
International relocation support is provided if required</li><li>
Flexible vacation policy and the opportunity to work from abroad</li><li>
Benefit from an attractive compensation package and from the company pension scheme</li><li>
Monthly contribution of 50% for the &lsquo;Deutschland Jobticket&rsquo;</li><li>
Say goodbye to order commissions and say hello to your complimentary subscription of Scalable Capital's PRIME+ Broker</li><li>
Enjoy flexible and discounted sports activities with Urban Sports Club</li></ul></div>

(Senior) Cloud Site Reliability Engineer (Scalability) (m/f/x)

osapiens

<div>
 
 Department:
 
 osapiens Terra
 
 
 
 Location:
 
 M&uuml;nchen
 
 
 
 Description
 
 
 
 
 About the role
 
 
 
 As a Machine Learning Engineer (m/f/x), you will work on the machine learning systems powering our geospatial analytics platform. You will contribute to the development, deployment, and improvement of production ML models that analyze satellite imagery and detect environmental risks at scale. You will collaborate closely with product managers, software engineers, and geospatial experts to build scalable ML solutions that support real-world sustainability and compliance use cases. Your work may include improving existing deforestation detection models, developing new deep learning approaches for remote sensing data, and building reliable tooling and infrastructure for model training and deployment.
 
 
 
 Your Responsibilities
 
 
 
 <ul>
 <li>
 Develop, train, and improve machine learning models for geospatial and satellite imagery analysis
 </li>
 <li>
 Contribute to the full ML lifecycle, including experimentation, evaluation, deployment, monitoring, and maintenance
 </li>
 <li>
 Work on production systems that process large-scale satellite and geospatial datasets
 </li>
 <li>
 Collaborate with ML engineers, backend engineers, product teams, and geospatial analysts to deliver reliable analytics products
 </li>
 <li>
 Improve model performance, scalability, and robustness across different geographies and datasets
 </li>
 <li>
 Build and optimize data pipelines, tooling, and workflows for efficient ML development
 </li>
 <li>
 Apply modern deep learning and statistical techniques to remote sensing and environmental data
 </li>
 <li>
 Support rapid experimentation while maintaining production reliability
 </li>
 <li>
 Contribute to technical discussions, code reviews, and engineering best practices
 
 
 </li>
 </ul>
 
 You May Be a Good Fit If You
 
 
 
 <ul>
 <li>
 Have a strong quantitative background in computer science, engineering, mathematics, remote sensing, or a related field
 </li>
 <li>
 Have strong programming skills in Python and hands-on experience with modern deep learning frameworks such as PyTorch or TensorFlow
 </li>
 <li>
 Hands-on experience with MLOps tools such as Weights &amp; Biases, cloud infrastructure including Amazon Web Services, and/or high-performance computing environments
 </li>
 <li>
 Feeling comfortable developing, training, and optimizing machine learning models in production environments
 </li>
 <li>
 Communicate clearly and collaborate effectively across technical and non-technical teams
 </li>
 <li>
 Have experience working with large datasets and distributed data processing workflows
 </li>
 <li>
 Work effectively with AI-assisted development and coding tools
 </li>
 <li>
 Are fluent in English (C1+). German skills are a plus
 
 
 </li>
 </ul>
 Nice to have
 
 
 <ul>
 <li>
 Experience with computer vision tasks such as segmentation, classification, change detection, or time-series analysis
 </li>
 <li>
 Experience working with remote sensing or satellite data (SAR, optical, LIDAR)
 </li>
 <li>
 Familiarity with geospatial data processing libraries and tools
 </li>
 <li>
 Experience deploying ML systems into production environments
 </li>
 <li>
 Understanding of environmental, climate, or sustainability-related use cases
 </li>
 <li>
 Experience translating complex business or regulatory requirements into data-driven solutions
 
 
 </li>
 </ul>
 
 Join us for this and more...
 
 
 
 <ul>
 <li>
 The opportunity to work on meaningful technology with real-world environmental impact
 </li>
 <li>
 A highly technical and collaborative team environment
 </li>
 <li>
 Modern ML infrastructure and large-scale geospatial datasets
 </li>
 <li>
 Ownership and growth opportunities based on your experience and interests
 </li>
 <li>
 Flexible working environment in our Munich office near Sendlinger Tor
 </li>
 <li>
 Competitive compensation and benefits
 </li>
 </ul>
</div>

Machine Learning Engineer (m/f/x) - Geospatial AI

BMW Group

<div>
 
 ARE YOU PREPARED FOR THE FUTURE? AI, AI SIR!
 
 
 
 Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. But it takes real intellectual leadership and expertise to identify and then harness the AI trends and technologies that will transform the way people travel for good.
 
 
 We are an international team of experts shaping the future of intelligent mobility by developing privacy-first data and model solutions for BMW&rsquo;s next-generation edge AI products. Together, we enable fast iteration and innovation for the BMW Intelligent Personal Assistant.
 
 
 
 What awaits you?
 
 
 
 <ul>
 <li>
 You design data pipelines for ingestion, curation, pseudonymization, and versioning.
 </li>
 <li>
 Furthermore, you implement reproducible training and finetuning builds for GenAI edge device models.
 </li>
 <li>
 You set up experiment tracking and artifact registries for model variants.
 </li>
 <li>
 Additionally, you build evaluation suites covering relevant KPIs such as latency, memory, hallucination, safety, and harms.
 </li>
 <li>
 You optimize dataset construction for small LLMs, including instruction tuning, preference data, and synthetic data with controls.
 </li>
 <li>
 You build and operate the data pipelines and provide self-serve tools for the team.
 
 
 
 </li>
 </ul>
 
 What should you bring along?
 
 
 
 <ul>
 <li>
 University degree in Computer Science, Engineering, or a related field.
 </li>
 <li>
 Several years of experience in machine learning engineering with Python (PyTorch) and strong software fundamentals in testing, profiling, and CI/CD.
 </li>
 <li>
 Practical knowledge of evaluation at scale, including golden sets, online metrics, drift detection, and regression testing.
 </li>
 <li>
 Experience with A/B experimentation, basics of causal inference, and privacy-preserving learning patterns.
 </li>
 <li>
 Motivation to embrace customer problems and find innovative solutions using available technologies.
 </li>
 <li>
 You enjoy working on complex problems in an international in-house team of experts.
 </li>
 <li>
 Professional English proficiency; German is a plus.
 
 
 
 </li>
 </ul>
 Are you ready to take proactive action with a hands-on mentality, strong problem-solving skills, and excellent cross-functional communication? Apply now!
 
 
 Find out more about Artificial Intelligence at the BMW Group here.
 
 
 
 Note:
 
 Please apply exclusively online via our career portal. Applications via other channels (esp. e-mail) cannot be considered.
 
 
 
 What do we offer?
 
 
 
 <ul>
 <li>
 Challenging projects with which we are shaping the mobility of tomorrow together.
 </li>
 <li>
 Wide range of personal and professional development opportunities.
 </li>
 <li>
 Attractive, fair and performance-related remuneration.
 </li>
 <li>
 High level of job security.
 </li>
 <li>
 Annual special payments such as vacation pay, Christmas bonus, and profit sharing.
 </li>
 <li>
 Flexible working hours including 6 weeks annual leave and overtime compensation.
 </li>
 <li>
 Discounted BMW &amp; MINI conditions.
 </li>
 <li>
 Many other benefits at bmw.jobs/benefits
 
 
 
 </li>
 </ul>
 
 Start date:
 
 from now on
 
 
 
 Type of employment:
 
 unlimited
 
 
 
 Working hours:
 
 Full-time
 
 
 If you apply, the next stages of the recruiting process include online testing and then technical interviews with the hiring manager (either virtual or in person).
 
 
 You can find helpful tips on your application and the application process here.
 
 
 At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants. Learn more here.
 
 
 Senior Applied AI / ML Data Engineer (f/m/x)
</div>

Senior Applied AI / ML Data Engineer (f/m/x)

Conxai Technologies GmbH

<div>About CONXAI 
CONXAI has built a no-code, agentic AI platform for the Architecture, Engineering and Construction (AEC) and physical industries, focused on knowledge-automation. We automate high-stakes, knowledge-intensive workflows traditionally trapped in siloed data, fragmented tools and tacit (undocumented) human expertise. 
Our multi-agent systems perform complex reasoning in the physical world; and transform bespoke, service-heavy processes into scalable Service-as-a-Software automation. 
CONXAI is trusted by some of the leading AEC companies in Europe, US, LATAM and Japan. 
Your Role 
As a Senior Backend Engineer, you will play a key role in designing and evolving the backend architecture that powers a complex B2B AI platform. Our backend services process large volumes of structured and unstructured data, orchestrate AI workflows, and expose reliable APIs for both internal services and customer-facing applications. 
 
You will focus on building high-performance distributed systems that are reliable, scalable, and designed for long-term evolution. 
This role is ideal for someone who: 
<ul>
<li>
Takes ownership of backend architecture and system reliability 
</li>
<li>Thinks in terms of distributed systems, concurrency, and scalability 
</li>
<li>Designs clean service boundaries and well-structured APIs 
</li>
<li>Values maintainable, production-grade code 
</li>
<li>Enjoys collaborating with frontend, ML and platform teams</li></ul> 
Our Tech Stack 
<ul>
<li>
Golang (primary backend language for core services)</li>
<li>Python, TypeScript / NestJS (supporting services)</li>
<li>PostgreSQL, MongoDB (AWS DocumentDB)</li>
<li>REST APIs</li>
<li>Docker &amp; Kubernetes (EKS)</li>
<li>AWS Cloud (S3, Cognito, compute services)</li>
<li>CI/CD pipelines and automated deployments</li></ul> 


What You&rsquo;ll Do 
Architect &amp; Build Scalable Backend Systems 
<ul>
<li>Design and develop backend services primarily using Golang</li>
<li>Build scalable APIs and backend services that power AI-driven workflows</li>
<li>Design systems capable of processing large-scale datasets across multiple tenants</li>
<li>Develop high-performance services leveraging Go&rsquo;s concurrency model</li>
<li>Define clear service boundaries and maintain robust API contracts</li>
<li>Contribute to architectural decisions for distributed backend systems</li></ul> 


Deliver High-Quality Backend Code
<ul>
<li>Write production-grade backend services in Go</li>
<li>Design and implement RESTful APIs for internal and external integrations</li>
<li>Ensure reliability through testing, monitoring, and observability</li>
<li>Optimize system performance, latency, and resource usage</li>
<li>Debug and resolve complex production issues</li></ul> 


Work with Cloud Infrastructure
<ul><li>Develop and deploy services using AWS cloud infrastructure
</li><li>Work with Docker and Kubernetes (EKS) to run and manage distributed services
</li><li>Utilize AWS services for storage, authentication, and compute workloads
</li><li>Collaborate with DevOps and platform teams to maintain reliable CI/CD pipelines</li></ul> 


Collaborate Across Teams
<ul>
<li>Work closely with frontend engineers, ML engineers, and product teams</li>
<li>Support integration of AI capabilities into backend systems</li>
<li>Participate in architecture discussions and technical planning</li>
<li>Conduct thoughtful code reviews and mentor junior engineers</li></ul> 


What We&rsquo;re Looking For 
Must Haves
<ul>
<li>5+ years of professional backend development experience</li>
<li>Strong experience with Golang
</li><li>Experience in designing scalable backend systems and APIs</li>
<li>Strong understanding of distributed systems and microservice architecture</li>
<li>Experience in working with AWS cloud infrastructure</li>
<li>Experience in working with relational databases and SQL
</li><li>Strong debugging, system design, and problem-solving skills</li>
<li>Strong written and verbal English communication skills</li></ul> 


Highly Valued
<ul><li>Experience in building complex B2B SaaS platforms</li>
<li>Experience with Kubernetes and container orchestration</li>
<li>Experience in designing systems for large-scale data processing</li>
<li>Experience working on AI or data-intensive platforms</li></ul> 


Nice to Have
<ul><li>Experience with Python or TypeScript (NestJS)</li>
<li>Experience with event-driven architectures</li>
<li>Experience integrating AI/ML services into backend systems</li>
<li>Experience in AEC, construction, or infrastructure domains</li></ul> 


Why CONXAI 
<ul>
<li>
Edge of Innovation: Be at the absolute forefront of AI in the construction tech space</li>
<li>High Impact: Build core infrastructure powering real-world AI automation used by global companies</li>
<li>Top-Tier Peer Group: Work with a global team of ML engineers, software engineers and industry practitioners</li>
<li>Growth Opportunities: Join a fast-growing company where engineering decisions directly shape the future of the platform</li></ul></div>

Senior Backend Engineer (Golang) - Munich

FAST LTA GmbH

<div><h4 class="jobSectionHeader">Kurzinfo</h4>
Als M&uuml;nchner Technologief&uuml;hrer f&uuml;r Zero-Loss-Storage und Off-Cloud-Appliances entwickelt FAST LTA hochsichere, vollst&auml;ndig lokale Infrastrukturl&ouml;sungen f&uuml;r anspruchsvolle Rechenzentrumsumgebungen. 100 % local, 100 % secure, 100 % yours. 
 
 Mit Silent AI gehen wir den n&auml;chsten Schritt: eine datenschutzkonforme Enterprise-KI-Appliance, die komplett on-premise auf dedizierter Hardware betrieben wird &ndash; ohne Cloud-Abh&auml;ngigkeit, ohne Kompromisse bei Sicherheit und Datensouver&auml;nit&auml;t. Entwickelt f&uuml;r Unternehmen und Organisationen mit hohen Sicherheitsanforderungen. 
 
F&uuml;r unser Team in M&uuml;nchen suchen wir ab sofort einen Senior Full Stack Engineer &ndash; AI &amp; Backend Systems (m/w/x) in Vollzeit, der/die gemeinsam mit uns unser Produkt weiterentwickelt.<h4 class="jobSectionHeader"> 
Das sind deine Aufgaben:</h4><ul><li>
Design und Implementierung einer versionierten Public REST-API (v1) inkl. Authentifizierungskonzept (API Keys, OAuth2), Rate Limiting und standardisierter Fehlerformate nach OpenAPI 3 / SemVer</li><li>
Ausbau des agentic LLM-Frameworks (LangGraph / LlamaIndex) mit Safety Guardrails, Multi-Step Retrieval, Tool Use und Observability</li><li>
Erweiterung modularer Datenkonnektoren (MS Graph, SharePoint, Confluence, Slack u. a.) nach einheitlichem Architektur-Standard</li><li>
Performance-Optimierung von Datenbankabfragen, Vektor-Store-Abstraktionen und asynchronen Datenlast-Pipelines (Celery)</li><li>
End-to-End-Implementierung neuer Features &uuml;ber Backend-API und TypeScript-Frontend &ndash; inklusive Code Reviews, Coding Guidelines und technischer Dokumentation</li><li>
Fachliche Lead-Verantwortung f&uuml;r Subsysteme (z. B. Public API, Konnektoren): eigenst&auml;ndiges Arbeiten auf Epic-Ebene von der Anforderungsanalyse bis zum produktiven Release sowie aktive Mitgestaltung von Architekturentscheidungen und Codequalit&auml;ts-Standards</li></ul><h4 class="jobSectionHeader">
Das bringst du mit:</h4><ul><li>
Idealerweise 10 oder mehr Jahre Erfahrung in der Softwareentwicklung und ein abgeschlossenes Studium der Informatik oder eines verwandten Fachs (kein Muss)</li><li>
Sehr gute Python-Kenntnisse (FastAPI, async/await, Dependency Injection, pytest) sowie fundiertes Linux- und Docker-Know-how (Microservices, Netzwerk-Isolation)</li><li>
Praxiserprobtes API-Design: REST, OpenAPI/Swagger, Versionierungsstrategien und standardisierte Fehlerbehandlung &ndash; sowie Auth-Protokolle (OIDC, OAuth2, JWT) aus produktivem Einsatz</li><li>
Frontend-Erfahrung mit modernem TypeScript (SvelteKit, React oder Vue), relationales Datenbankdesign/-optimierung mit PostgreSQL sowie eine eigenst&auml;ndige, strukturierte Arbeitsweise</li><li>
Erfahrung mit LLMs, RAG-Systemen oder AI-Infrastruktur (vLLM, LangChain, Vektordatenbanken), asynchronen Task-Queues (Celery, Redis) sowie Monitoring &amp; Observability (Prometheus, Grafana) sind ein Plus, aber kein Muss</li><li>
Flie&szlig;ende Deutschkenntnisse auf muttersprachlichem Niveau sowie verhandlungssicheres Englisch</li></ul><h4 class="jobSectionHeader">
Das bieten wir:</h4><ul><li>
Attraktives Gehalt + betriebliche Altersvorsorge mit 30 % Arbeitgeberzuschuss (ETF-basiert)</li><li>
Flexibles Arbeiten - Gleitzeit und Home-Office Option nach der Einarbeitung</li><li>
Echtes Team - kurze Wege, wertsch&auml;tzende Kultur, regelm&auml;&szlig;ige Events (Wiesn, Weihnachtsfeier, Afterwork)</li><li>
EGYM Wellpass - Yoga, Pilates, Lauftraining im Park mit externem Coach</li><li>
JobRad + kostenlose Parkpl&auml;tze</li><li>
Familienfreundlich - Zusch&uuml;sse zu Geburt und Kinderbetreuung</li><li>
Frisches Obst und Getr&auml;nke im B&uuml;ro</li></ul><h4 class="jobSectionHeader">
Ansprechpartner*in</h4><h2 class="jobSectionHeader">
Deine Ansprechpartnerin: Catana Dispan</h2><h2 class="jobSectionHeader">
Lust, die Zukunft lokal zu machen?</h2>
Schick uns deine Bewerbung &uuml;ber das Bewerbungsformular &ndash; wir melden uns kurzfristig. 
 
FAST LTA steht f&uuml;r Chancengleichheit. Bewerbungen aller Hintergr&uuml;nde sind willkommen.<h4 class="jobSectionHeader">
&Uuml;ber uns</h4><h1 class="jobSectionHeader">
Hallo.</h1>
wir sind die FAST LTA GmbH aus M&uuml;nchen und wir entwickeln und vermarkten Technologien sowie Produkte zur sicheren Langzeitspeicherung digitaler Daten. Wir sind Marktf&uuml;hrer in Deutschland f&uuml;r revisionssicheren Speicher f&uuml;r Krankenh&auml;user und &ouml;ffentliche Verwaltungen. Zu unseren Kunden z&auml;hlen namhafte Unternehmen aus der Industrie.</div>

Senior Full Stack Engineer (w/m/x) – AI & Backend Systems

Peter Park System GmbH

<div><div>M&uuml;nchen</div><div>
Full-time</div><div>
Permanent employee</div></div>
 <div><div><div><h2 class="jobSectionHeader">Introduction:</h2><div><div>
We are looking for an empathetic, strategic, and technically grounded Team Lead Tech (m/f/d) to act as a hybrid &quot;Player-Coach&quot; for our squad. Simply put: You are the highest technical authority in your team. You set and defend the architectural direction while staying hands-on enough to maintain deep technical credibility and serve as a stabilizing anchor (&quot;The Lighthouse&quot;) for your team.</div></div></div><div><h2 class="jobSectionHeader">
Your Objectives &amp; Role:</h2><div><ul><li>
Orchestrate Architecture: Lead high-level architectural discussions and guide your squad through complex trade-offs. Defend the scalability, quality, and stability of our event-driven cloud infrastructure.</li><li>
Lead by Example: Stay close to the metal. Actively contribute production-grade code, tackle core features, and conduct peer Merge Request reviews to elevate engineering standards.</li><li>
Empower High-Performing Teams: Cultivate talent with deep empathy. You will develop and mentor engineers, fostering an environment of continuous feedback, psychological safety, and growth. By shielding your team from operational noise, you enable deep focus while consistently raising the bar for excellence across the department.</li><li>
Bridge Strategy &amp; Execution: Translate high-level business goals into actionable technical objectives. Partner with Product Managers to balance feature delivery with technical debt reduction.</li><li>
Instill Ownership: Drive an entrepreneurial spirit within your squad. Help engineers understand the &quot;why&quot; behind every line of architecture and keep customer impact at the center of their work.</li></ul></div></div><div><h2 class="jobSectionHeader">
Your Expertise, Skills &amp; Mindset:</h2><div><ul><li>
Real Seniority: We value direct business impact and a drive for continuous improvement over a flat number of years. We welcome established Engineering Managers or Senior/Staff Engineers ready to step into leadership. Disciplinary experience is a plus, not a must.</li><li>
Production Track Record: You have designed, owned, and scaled distributed, event-driven systems at a meaningful scale (ideally within a fast-paced SaaS or IoT scale-up environment). You confidently defend architectural trade-offs (consistency, throughput, cost).</li><li>
Technical Fluency: You are fluent in our primary backend stack (Node.js/TypeScript) or our IoT environment (C++, Python) and understand cloud architectures (AWS). You possess the technical depth to review a senior's MR, constructively challenge their logic, and help them improve.</li><li>
Agile Native: You have deep proficiency with project management tools (Linear, Jira) and agile methodologies. You know how to use data to improve team velocity and release frequency.</li><li>
People-First Mentality: You possess high emotional intelligence (EQ). You are proactive, empathetic, and capable of motivating a diverse team. You hold yourself and others accountable with kindness and clarity.</li><li>
Operational Rigor: You are structured and conscientious. You can manage complex stakeholders and communicate effectively with both engineers and C-level executives.</li><li>
Communication: Excellent English communication skills (C1+) are mandatory. German proficiency is a strong plus.</li></ul></div></div><div><h2 class="jobSectionHeader">
Technologies We Work With:</h2><div><div>
We embrace modern, cutting-edge technologies to build robust and scalable solutions. 
</div><ul><li>
Backend: Event-driven microservices in NodeJS (NestJS).</li><li>
Frontend: Monorepo powered by Turbo, pnpm, changesets, and Storybook, primarily using Vue.js.</li><li>
IoT Stack: Embedded and edge solutions in C++ and Python.</li><li>
Frameworks/Libraries: Adoption of TypeScript, NestJS, BullMQ, and Prisma for backends in an opinionated monorepo approach.</li><li>
Databases: Amazon RDS, DynamoDB, S3.</li><li>
Orchestration &amp; CI/CD: We manage our container orchestration with Kubernetes (EKS), using Keda and Karpenter for dynamic autoscaling. Our CI/CD is powered by GitLab.</li><li>
Infrastructure as Code: Terraform for AWS provisioning.</li><li>
Serverless: Leveraging AWS Lambda and the Serverless framework for high-throughput endpoints.</li></ul></div></div><div><h2 class="jobSectionHeader">
Work Setup:</h2><div><ul><li>
Hours: 40 hours per week (based on trust).</li><li>
Home Office Policy: Enjoy a hybrid model with 3 days in the office / 2 days remote.</li><li>
Contract: A permanent contract for long-term stability</li><li>
Location: Our modern office in Munich, a vibrant city in the heart of Bavaria.</li></ul></div></div><div><h2 class="jobSectionHeader">
What We Offer:</h2><div><ul><li>
Impact: direct influence on a product used by millions of drivers and major facility owners across Europe.</li><li>
Growth: A clear management track or expert track career path. We invest in your development as a leader.</li><li>
Culture: A team that values &quot;Delight,&quot; ownership, and moving fast.</li></ul></div></div><div><h2 class="jobSectionHeader">
Our Recruiting Process:</h2><div></div><div><ul><li> 
Initial Contact: We&rsquo;ll get back to you within 48 hours.</li><li>
HR Interview: Discuss your experience and expectations with our HR team.</li><li>
Live Assessment: Showcase your adaptability by solving a practical problem in an unfamiliar context</li><li>
Tech Challenge: A collaborative deep-dive into system architecture, cloud scalability, and handling technical trade-offs.</li><li>
Leadership Conversation: A deep dive into the role and expectations with a member of our technical leadership.</li><li>
On-Site Meeting: Visit our Munich office, meet more of the team, and experience our culture firsthand!</li></ul></div></div><div><h2 class="jobSectionHeader">
What are the benefits of working at Peter Park?</h2><div><div>
We believe in supporting our team with an environment that fosters growth, well-being, and a great work-life balance. 
</div><ul><li>
Your perks: company pension plan, corporate benefits, and JobRad bike leasing, plus, you can choose between a subsidized Deutschlandticket or an EGYM Wellpass membership.</li><li>
Your flexibility: flexible working hours and the option to work remotely from within the EU.</li><li>
Your setup: an onboarding experience that gets you up to speed right away, height-adjustable desks, and modern Apple equipment (MacBook (M4 Pro, 48GB Ram) and a 37-inch curved screen) for the perfect start from day one. Plus access to all major frontier AI models, MCP servers, and the agentic tooling you need to do your best work.</li><li>
Your well-being: a healthy energy boost with free snacks (fruit, nuts, muesli), subsidized office catering, and a weekly team lunch.</li><li>
Your fit: a lived start-up mentality in a financially secure and stable environment.</li></ul><div>
Ready to build the future with us? 
Apply today and let&rsquo;s make something great together.</div></div></div></div>
<div><h2 class="jobSectionHeader">&Uuml;ber uns</h2><div><div>
Peter Park hilft seinen Kund:innen dabei, die Gestaltung von Parkr&auml;umen einfach und digital abzubilden. Wir ersetzen Schranken, Papiertickets und Parkscheiben durch barrierefreies Parken mit mobilen Bezahlm&ouml;glichkeiten. Peter Park revolutioniert die t&auml;glichen Parkerfahrungen mit neuen digitalen Technologien und erleichtert dadurch den Alltag von jedem Autofahrer. Dar&uuml;ber hinaus optimieren wir die Nutzung von innerst&auml;dtischen Strukturen und r&auml;umen auf mit Autos am Stra&szlig;enrand &ndash; f&uuml;r einen lebenswerten und nachhaltigen Lebensraum. Im engen Austausch mit unserem B2B Kundenstamm und Unternehmenspartnern stellen wir uns der Herausforderung, unsere SaaS L&ouml;sung st&auml;ndig zu verbessern und zu erweitern.</div></div></div></div>

Team Lead Tech (m/f/d)

Usercentrics

<div>SHAPE THE FUTURE OF PRIVACY WITH USERCENTRICS
Hybrid position - 2/3 days in the office
1 year fixed-term contract
Usercentrics is a global leader in the field of consent management platforms (CMP). We follow our company vision to build a world where user privacy enables a thriving digital ecosystem. Our mission is to provide privacy solutions that empower organizations to embrace data privacy while building trust with their users through freedom of choice. With our product, businesses can collect, manage and document user consents on websites and apps, and achieve full compliance in accordance with global privacy regulations while facilitating high consent rates and building trust with their customers.
We&rsquo;re looking for an experienced Staff Analytics Engineer to own the design and delivery of scalable data models and data products across our data warehouse, semantic layer, and reporting layer. Reporting to the Director of Analytics, you will enable critical decision making across the business, from marketing and product to commercial operations.
This is a senior individual contributor role with technical leadership responsibilities. You will not manage a team initially, but you will set standards and mentor others. This role may evolve into a people management position as the team scales.
Your Tasks<ul><li>
Drive the development and expansion of our Data Warehouse and BI solutions, with a focus on simplicity, scalability, and reliability, ensuring they grow sustainably.</li><li>
Own and evolve the Analytics Engineering strategy, including architectural decisions, modeling standards, and the long term roadmap.
</li><li>Collaborate with Data Analysts, Data Scientists, and backend engineers to deliver trusted, well modeled, analysis-ready datasets.
</li><li>Apply software engineering best practices across the analytics codebase, including version control, code reviews, automated testing, lineage, and continuous integration.
</li><li>Evaluate, select, and deploy tools and frameworks to strengthen data quality, governance, and reliability.
</li><li>Partner closely with business stakeholders to design and scale the semantic layer to support diverse and evolving business needs, enabling and accelerating self service analytics.
</li><li>Act as a go to person for Data Analysts and Data Scientists, providing guidance to improve pipelines and remove inefficiencies, redundancies, and technical bottlenecks.
</li><li>Mentor and support other team members as the team scales, contributing to capability building, onboarding, and continuous knowledge sharing.
</li>Bring strategic thinking and innovative ideas to help shape a growing team and deliver meaningful business impact at scale. 
<li>
</li></ul> 
 
Requirements 
<ul><li>
5+ years of relevant experience in a comparable role, designing and scaling complex data models for analytics and data science.</li><li>
A unique combination of technical expertise, business acumen, and communication skills, enabling you to persuade and influence data product stakeholders.</li><li>
Proficiency with dimensional modeling (star schema) and medallion architecture, with the ability to design and develop curated data marts.</li><li>
Strong coding skills in SQL and proficiency in DBT, orchestration tools, and engineering best practices.</li><li>
Experience with cloud data warehouses (BigQuery preferred) and semantic layers such as MetricFlow, LookML, Omni, or Cube.</li><li>
Curiosity, strong problem solving skills, and a proactive, creative mindset.
</li><li>Excellent organizational and communication skills, both verbal and written.</li></ul>
Don&rsquo;t meet every single requirement? Studies have shown that women and people of colour are less likely to apply to jobs unless they meet every single qualification. At Usercentrics we are dedicated to building a diverse, inclusive and authentic workplace, so if you&rsquo;re excited about this role but your past experience doesn&rsquo;t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. 
Benefits 
 
Why join Usercentrics?<ul><li>
Joining Usercentrics means becoming part of a fast-growing, diverse and international team of tech enthusiasts and entrepreneurially-minded who build our success story together</li><li>
Company culture is important to us - we strive to continuously develop a positive, vibrant and inspiring environment that enables everyone to thrive both personally and professionally</li><li>
Get involved! We have plenty of initiatives and love to see people from all department enthusiastically participating and shaping our future together in different cross-department projects</li><li>
Your work-life balance is important to us too - we offer flexible working hours, hybrid working and the possibility of workcations (in accordance with our company policy)</li><li>
We always remember to have fun along the way, both in our day-to-day work and at our regular team events on site in our offices in Munich, Copenhagen, Odense, Lisbon and Prague or online</li></ul></div>

Staff Analytics Engineer (1 Year Fixed-Term Contract)

Explore 138+ Senior cloud site reliability engineer scalability m f x in Munich this July. Find roles across top companies and apply now to boost your career.