Application Security Jobs in Stuttgart.
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We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers.
MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations.
We are looking to speak to candidates who are based in Stuttgard for our hybrid working model.
As an ideal candidate, you will have:
- 5 to 8 years of related industry experience, ideally 2 years of experience in a customer facing role
- Minimum of 2 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
- Experience implementing scalable and highly available distributed systems in the cloud and on-prem
- Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
- Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
- Ability to work with a cross functional sales team to formulate and execute an end to end deal cycle
- The ability to travel up to 25%
- A Bachelor’s degree or equivalent work experience
You may also have:
- Experience developing, deploying, or supporting applications with any of the major cloud providers
- Experience working in a technical pre-sales capacity
- Experience with database programming and data models
- Experience in data engineering or AI/ML projects
- Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
- A MongoDB Certification
- A Cloud Provider Certification
What you do at MongoDB:
In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will:
- Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
- Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
- Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
- Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events
- Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction
- Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members
- Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends
What you will learn:
MongoDB Product Suite Mastery:
- Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
- Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
- Relational Migrator: Learn to migrate from relational databases seamlessly
Market-Relevant Technologies:
- Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
- Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes
Modern Architecture Design:
- Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
- Cutting Edge RAG and AI Architectures: Help customers on their generative AI journey and working with industry leading partners in the space
Sales Techniques and Soft Skills:
- Effective Communication: Master presentations, demonstrations, and whiteboarding
- Client Interaction: Develop strategies for discovery and objection handling
Industry Insights:
- Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
Req ID: 1273390805
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Principal Data Architect (m/f/d)
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Principal data architects at Thoughtworks play a key part in developing modern data architecture approaches to meet business objectives and provide end-to-end data solutions.
They are responsible for enabling clients and Thoughtworks teams to align on outcomes that support the vision painted by data strategists.
They lead the design and architecture of the initiatives which are key to delivery of solutions to budget and timelines. They also guide and mentor delivery teams on architectural decisions to deliver to the solution agreements.
Job responsibilities
- You will collaborate with sales and pre-sales to clarify requirements and design viable solutions and drive pursuits with technical stakeholders.
- You will lead complex data programs, navigating architectural concerns and enabling delivery teams to deliver on accepted standards within time and budget.
- You will provide client-facing technical leadership and guidance on topics related to data architecture, engineering, and analytics to advise clients on bringing their data strategy to life.
- You will interact with client counterparts from the enterprise architecture group and lead the delivery, alignment and sign-off of key architectural decisions, trade-offs and ways of working.
- You will communicate both high- and low-level technical details of data architecture to engineers and business stakeholders.
- You will be able to collaborate, influence and guide at the intersection of analytical and operational architecture.
- You will be responsible for the technical design of data governance, data security and data privacy to fulfill compliance requirements.
- You will seamlessly incorporate data quality frameworks and processes to address and fulfill requirements as set out in strategy and acceptance criteria.
- You will represent Thoughtworks in various online and offline forums, including events and conferences.
Job qualifications
Technical Skills
- You have experience in defining and implementing different types of data architecture, analyzing trade-offs and can define technology stacks for different types of data architecture.
- You have experience in designing application system architecture based on big data, artificial intelligence and related technologies.
- You have rich experience in building, maintaining and tuning data platforms, as well extensive experience in data warehouse design, data modeling, data monitoring and operations.
- You have experience with common design patterns, application frameworks and foundational/theoretical knowledge (i.e.: distributed systems, data intensive applications, etc.).
- You are passionate about data infrastructure and operations, with expertise working in cloud environments.
- You are proficient in common open-source distributed computing/storage technologies, including but not limited to YARN, Impala, Spark, MapReduce, Kafka and Flink, with practical project architecture experience.
- You have experience in defining, developing and enabling data-driven techniques, advanced analytics, ML/AI and data mining applications in enterprise.
- You have experience in developing real-time and low-latency data streaming solutions and a differentiated view on the complexities and tradeoffs connected with them.
- You have experience in productionizing machine learning models and applying techniques, tools and processes.
Professional Skills
- You must have extensive pre-sales experience and a proven ability to independently drive complex pursuits and create winning commercial proposals.
- You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way.
- You are a native-level German speaker (C1 German) that is comfortable and experienced to drive consensus with mostly technical stakeholders.
- You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives.
- You have a good understanding of business and communication, collaboration skills, strong learning and summarizing abilities.
- You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them.
- You coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work.
- You enjoy influencing others and always advocate for technical excellence while being open to change when needed.
- Cultivating strong partnerships comes naturally to you; You understand the importance of relationship building and how it can bring new opportunities to our business.
Other things to know
Learning & Development
There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.
Responsible Use of AI in Recruitment
At Thoughtworks, we use AI tools to support our recruitment team with administrative tasks such as drafting communications, scheduling interviews and writing job descriptions.
Crucially, our AI tools do not screen, assess, rank or make hiring decisions. Every application is reviewed by our team and all selection decisions are made exclusively by our interviewers and hiring managers.
We are committed to fairness and responsible AI. We actively manage our AI systems by testing, monitoring for biased outcomes and implementing mitigation measures. We hold our third-party vendors to these same high standards through a rigorous governance process. For additional information, please see our full Thoughtworks AI Policy for Recruitment.
About Thoughtworks
Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary.
#LI-Onsite
Ready to apply?
Apply to Thoughtworks
Principal Data Engineer (m/f/d)
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Principal data engineers at Thoughtworks, are strategic leaders who spearhead data engineering initiatives, tackle complex business challenges and uncover transformative insights. They possess a deep understanding of a client's business ecosystem and partner with executives to align technology strategies with business objectives. By contextualizing emerging trends and Thoughtworks' exploration, they expand the impact of data engineering within the client organization.
They draw upon their profound expertise in developing modern data architectures and infrastructure for the management of data applications.
Effective collaboration is paramount, as data engineers adeptly convey their discoveries to both technical and non-technical stakeholders. They stay abreast of industry advancements, ensure data quality and security, and provide mentorship to junior team members.
At Thoughtworks, data engineers leverage their deep technical knowledge to solve complex business problems, making a significant impact on client success.
Job responsibilities
- You will collaborate with sales and pre-sales to clarify requirements and design viable solutions and drive pursuits with technical stakeholders.
- You will establish a clear vision and direction for the data paradigm/practices, aligning it with the overall business strategy.
- You will collaborate with executive level stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality.
- You will consult on complex data platform programs, synchronizing cross-cutting architectural concerns and providing client-facing technical leadership and guidance as a data subject matter expert.
- You will be responsible to create, design and develop intricate data processing pipelines, addressing clients' most challenging problems.
- You will collaborate with data scientists to design scalable implementation and production of their models.
- You will write clean and iterative code based on TDD and leverage various continuous delivery practices to deploy, support and operate data pipelines.
- You will design and implement the strategy around data governance, data security and data privacy to support business and compliance requirements.
- You will represent Thoughtworks in various online and offline forums, including events and conferences.
Job qualifications
Technical Skills
- You must have extensive pre-sales experience and a proven ability to independently drive complex pursuits and create winning commercial proposals.
- You have experience leading enterprise data strategy, system design, and the end-to-end implementation of large-scale technical solutions.
- You are a native-level German speaker (C1) who is comfortable driving consensus and managing expectations with senior technical stakeholders.
- You possess hands-on experience in system design using Domain-Driven Design principles for complex enterprise organizations with multiple domains.
- Working with data excites you; you have designed Big Data architectures, built and operated data pipelines, and managed data storage within distributed systems.
- You have a deep understanding of data modeling and practical experience with modern data engineering tools, platforms, and cloud warehousing solutions.
- You are a "hands-on" leader—equally happy writing production-grade code as you are leading a team to implement a vision.
- You have built and deployed large-scale data pipelines and data-centric applications using distributed storage and processing platforms in production environments.
- You have experience designing and developing streaming solutions (Cloud or On-premise) leveraging leading technologies and industry best practices.
- You have experience implementing data governance and security policies, complemented by a solid understanding of MLOps and data science concepts.
Professional Skills
- You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way.
- You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives.
- You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them.
- You coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work.
- You enjoy influencing others and always advocate for technical excellence while being open to change when needed.
- You are a proven leader with a track record of encouraging teammates in their professional development and relationships.
- Cultivating strong partnerships comes naturally to you; You understand the importance of relationship building and how it can bring new opportunities to our business.
Other things to know
Learning & Development
There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.
Responsible Use of AI in Recruitment
At Thoughtworks, we use AI tools to support our recruitment team with administrative tasks such as drafting communications, scheduling interviews and writing job descriptions.
Crucially, our AI tools do not screen, assess, rank or make hiring decisions. Every application is reviewed by our team and all selection decisions are made exclusively by our interviewers and hiring managers.
We are committed to fairness and responsible AI. We actively manage our AI systems by testing, monitoring for biased outcomes and implementing mitigation measures. We hold our third-party vendors to these same high standards through a rigorous governance process. For additional information, please see our full Thoughtworks AI Policy for Recruitment.
About Thoughtworks
Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary.
#LI-Onsite
Ready to apply?
Apply to Thoughtworks
DevOps / DevSecOps Engineer
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WongDoody creates human experiences at 22 studios across 4 continents. We believe the future can be molded. And by shaping human experiences through creativity and tech, we work to build a future we believe in.
For us, this starts with our own culture. We strive to create an inclusive environment where every human can bring their whole self to work. Our clients are brands we believe in, from global big players to local heroes to startups we love. With each of our partners, we embark on a journey of co-creation, pushing the boundaries of what's possible and exploring the space where creativity and tech meet.
Our team of fun, welcoming, values-driven, and collaborative problem solvers has one focus at the heart of everything we do: human experience. Human experiences are the touchpoints where brands connect with customers. And we transform businesses by creating engaging, inspiring moments using strategy, creativity, data and technology - all backed by the global technological power of Infosys.
Experience, Tech & AI
We are a cross-unit and cross-location AI, tech and experience team. With more than 50 developers, AI & Fullstack engineers, UX designers and consultants working directly with other WongDoody teams, we are team players and specialists - oth in frontend and backend. As part of Infosys, we belong to a leading global technology company with access to solutions and extensive know-how in the fields of commerce, marketing automation and AI, among others.
We are now looking for a Senior DevSecOps Engineer who connects platform engineering, security, and automation to build robust, scalable foundations for modern digital and AI-driven systems.
Our local benefits
- Flexible working hours and 100% overtime compensation
- Work where it works for you. At home or in the office, or any mix you like
- Working for strong brands and clients we believe in
- 30 days vacation per year
- Company Benefits
- Urban Sports Club
- Nice people in welcoming teams
What you can expect
Cloud, Platform & Automation
- Design and operate scalable cloud infrastructures and platform setups
- Automate deployments, environments, and operational processes
- Build reliable foundations for fast, stable, and traceable releases
Security by Design
- Integrate security early into development and operations
- Define and enforce standards across infrastructure, access, secrets, and data flows
- Identify risks early and implement pragmatic, maintainable solutions
Reliability, Monitoring & Collaboration
- Ensure observability, availability, and resilience of systems
- Collaborate with engineering, architecture, and product teams
- Bring structure to complex environments and balance speed with quality
What we'd love to see
- Several years of experience in DevOps, DevSecOps, Platform Engineering, or Cloud Operations
- Strong knowledge of CI/CD, Infrastructure as Code, and cloud architectures
- Experience with container technologies and automated deployment pipelines
- Solid understanding of security principles, IAM, secrets management, and distributed systems security
- Hands-on experience with monitoring, logging, incident handling, and troubleshooting
- Familiarity with tools like Terraform, GitHub Actions, GitLab CI, or similar
- Experience with GCP, Kubernetes, or Cloud Run is a plus
- Exposure to security automation, policy enforcement, or vulnerability scanning
- Experience with AI/data platforms or production AI systems is a plus
- Understanding of FinOps and cost-aware infrastructure is beneficial
- Clear, pragmatic communication of complex technical topics
- Fluent in German and/or English (B2–C1)
- Work permit for Germany and at least one year of work onsite in Germany
You’ll be the backbone of secure and scalable delivery, bridging internal platforms and client projects. By embedding security, automation, and reliability into every layer, you enable teams to ship faster, operate safely, and scale with confidence.
We care about your personality and professional skills. We don't care about your gender, age, nationality or appearance and are open to working with everyone.
Please note: This is a job ad by WongDoody GmbH based in Germany. Through our website or other sources, you may find job ads published by one of our WongDoody sister companies around the globe with whom we act jointly under the band “WongDoody”. For each job offer, only the entity is responsible, which has published the ad. Contact persons, required information and applicable terms may differ. You can inform yourself how WongDoody GmbH is processing your personal data provided in the application process here.
If you have any questions about the application process, feel free to contact our People & Culture Team directly under job@odt.net
Ready to apply?
Apply to WongDoodySolution Architect
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WongDoody creates human experiences at 22 studios across 4 continents. We believe the future can be molded. And by shaping human experiences through creativity and tech, we work to build a future we believe in.
For us, this starts with our own culture. We strive to create an inclusive environment where every human can bring their whole self to work. Our clients are brands we believe in, from global big players to local heroes to startups we love. With each of our partners, we embark on a journey of co-creation, pushing the boundaries of what's possible and exploring the space where creativity and tech meet.
Our team of fun, welcoming, values-driven, and collaborative problem solvers has one focus at the heart of everything we do: human experience. Human experiences are the touchpoints where brands connect with customers. And we transform businesses by creating engaging, inspiring moments using strategy, creativity, data and technology - all backed by the global technological power of Infosys.
Experience, Tech & AI
We are a cross-unit and cross-location AI, tech and experience team. With more than 50 developers, AI & Fullstack engineers, UX designers and consultants working directly with other WongDoody teams, we are team players and specialists - oth in frontend and backend. As part of Infosys, we belong to a leading global technology company with access to solutions and extensive know-how in the fields of commerce, marketing automation and AI, among others.
We are now looking for a Solution Architect who designs scalable cloud and AI platforms on Google Cloud—connecting systems, data, and intelligence into robust, future-ready architectures.
Our local benefits
- Flexible working hours and 100% overtime compensation
- Work where it works for you. At home or in the office, or any mix you like
- Working for strong brands and clients we believe in
- 30 days vacation per year
- Urban Sports Club
- Nice people in welcoming teams
What you can expect
Architecture & Platform Design
- Design cloud architectures for digital products, data platforms, and AI-driven solutions on GCP, AWS or Azure
- Define end-to-end system architecture across data, services, and AI workflows
- Ensure scalability, maintainability, and long-term viability of architectural decisions
- Create architecture documentation and diagrams outlining key decisions and solutions to technical challenges
Integration & System Landscape
- Define interfaces, integration patterns, and system interactions
- Assess existing enterprise landscapes and design integration strategies (e.g. SAP, CDP, CMS, DAM)
- Connect data sources, AI models, and content systems into a coherent architecture
Scalability, Governance & Collaboration
- Define security concepts, operating models, and architectural guardrails
- Make informed decisions on compute, storage, messaging, identity, observability, and deployment
- Work closely with engineering, security, and business teams to establish a viable target architecture
- Balance MVP thinking with long-term platform scalability
- Help teams reduce complexity and choose the right technical setup
- Contribute to RFPs, pitches, and the development of visionary architecture concepts
- Evaluate emerging technologies, recommend suitable adoption strategies for customer projects and suggest improvements on cost, performance, and maintainability
What we'd love to see
- Several years of experience in system architecture (cloud, data, APIs)
- Proven experience as a Solution Architect or in a comparable technical leadership role
- Strong expertise in GCP and AWS
- Deep understanding of platform design and modular architectures
- Experience integrating complex enterprise systems
- Solid knowledge of security best practices, data modeling, and system performance optimization
- Hands-on experience with DevOps tools (CI/CD pipelines, containerization, IaC with Terraform or ARM)
- Ability to communicate technical decisions clearly and effectively
- Confident in client-facing settings, with the ability to engage and advise senior stakeholders (e.g. CTOs)
- Experience in Buy vs. Build decisions
- Very good German and English language levels (C1+)
- Work permit for Germany and at least one year of work onsite in Germany
Your impact
You’ll be the architectural bridge between creativity and computation, enabling WongDoody’s teams to design and deliver intelligent, modular, and headless experiences that scale. Your architectures will empower brands to connect faster, adapt smarter, and evolve with technology, one API at a time.
We care about your personality and professional skills. We don't care about your gender, age, nationality, or appearance and are open to working with everyone.
Please note: This is a job ad by WongDoody GmbH based in Germany. Through our website or other sources, you may find job ads published by one of our WongDoody sister companies around the globe with whom we act jointly under the band “WongDoody”. For each job offer, only the entity responsible which has published the ad. Contact persons, required information and applicable terms may differ. You can inform yourself how WongDoody GmbH is processing your personal data provided in the application process here.
Ready to apply?
Apply to WongDoodySenior AI Engineer
Share this job
WongDoody creates human experiences at 22 studios across 4 continents. We believe the future can be molded. And by shaping human experiences through creativity and tech, we work to build a future we believe in.
For us, this starts with our own culture. We strive to create an inclusive environment where every human can bring their whole self to work. Our clients are brands we believe in, from global big players to local heroes to startups we love. With each of our partners, we embark on a journey of co-creation, pushing the boundaries of what's possible and exploring the space where creativity and tech meet.
Our team of fun, welcoming, values-driven, and collaborative problem solvers has one focus at the heart of everything we do: human experience. Human experiences are the touchpoints where brands connect with customers. And we transform businesses by creating engaging, inspiring moments using strategy, creativity, data and technology - all backed by the global technological power of Infosys.
Experience, Tech & AI
We are a cross-unit and cross-location AI, tech and experience team. With more than 50 developers, AI & Fullstack engineers, UX designers and consultants working directly with other WongDoody teams, we are team players and specialists - oth in frontend and backend. As part of Infosys, we belong to a leading global technology company with access to solutions and extensive know-how in the fields of commerce, marketing automation and AI, among others.
We are now looking for a Senior AI Engineer who combines strong engineering fundamentals with a pragmatic delivery mindset—turning ambitious ideas into stable, scalable AI systems.
Our local benefits
- Flexible working hours and 100% overtime compensation
- Work where it works for you. At home or in the office, or any mix you like
- Working for strong brands and clients we believe in
- 30 days vacation per year
- Company Benefits
- Urban Sports Club
- Nice people in welcoming teams
What you can expect
AI Systems & Service Architecture
- Design and build production-ready AI services and backend systems
- Develop APIs, orchestrations, and integrations for GenAI and LLM-based applications
- Create technical foundations that enable teams to build, scale, and operate reliably
- Contribute to RFPs, pitches, and forward-looking AI solution concepts
Reliability, Scale & Performance
- Ensure AI solutions run reliably, perform efficiently, and remain cost-effective
- Make architectural decisions around scalability, monitoring, security, and maintainability
- Optimize systems across quality, latency, operational cost, and developer experience
Technical Leadership & Collaboration
- Work closely with Creative Technologists, Product, Design, and Engineering
- Lead technical discussions and bring clarity to complex initiatives
- Support other engineers through reviews, sparring, and best practices
- Engage in client-facing conversations and explain technical concepts to senior stakeholders
What we'd love to see
- A passion for creative technology, curiosity for emerging AI tools, and the ability to turn ideas into working prototypes
- Analytical and structured mindset with the ability to make complexity simple
- End-to-end architecture from prototyping to production (including CI/CD, logging, analytics, and scaling)
- Several years of experience building production-grade AI or backend systems
- Strong experience in software engineering (Python and/or TypeScript)
- Practical knowledge of LLM frameworks,tools and protocols (LangChain, LangGraph, n8n, MCP, A2A, Bedrock, or similar) including agentic architectures
- Experience in integrating visual AI tools such as ComfyUI, Stable Diffusion, Google Imagen, or Adobe Firefly into broader workflow systems
- Proven experience integrating text-based AI APIs like ChatGPT, Claude, Gemini, or Llama into end-to-end workflow solutions
- Familiarity with prompting techniques, RAG pipelines, and AI workflow orchestration including guidance/guardrails, observability (P95, cost/request), evaluation pipelines
- Understanding of real-time communication protocols (Websocket / gRPC / PubSub event handling) and API integration across data and creative environments
- Competence in infrastructure setup (Docker, Terraform, cloud platforms like GCP, AWS, or Azure), understanding the resources cost factor and ability to optimize it
- Open-source engagement or hands-on experimentation with AI agents, visual frameworks, or orchestration systems
- Excellent English communication skills (German is a plus)
- Work permit for Germany and at least one year of work onsite in Germany
- Nice to have: Experience with IBM watsonx / Watson AI or related enterprise AI ecosystems
Your impact
You’ll shape the future of AI agent experiences and scalable AI systems that work reliably in production environments, create standards, and transform complex systems into meaningful, measurable experiences - for users, brands, and products.
Please note: This is a job ad by WongDoody GmbH based in Germany. Through our website or other sources, you may find job ads published by one of our WongDoody sister companies around the globe with whom we act jointly under the band “WongDoody”. For each job offer, only the entity responsible which has published the ad. Contact persons, required information and applicable terms may differ. You can inform yourself how WongDoody GmbH is processing your personal data provided in the application process here.
If you have any questions about the application process, feel free to contact our People & Culture Team directly under job@odt.net.
Ready to apply?
Apply to WongDoody