Deployed AI Engineer

At CloudFactory, we are a mission-driven team passionate about unlocking the potential of AI to transform the world. By combining advanced technology with a global network of talented people, we make unusable data usable, driving real-world impact at scale.

More than just a workplace, we're a global community founded on strong relationships and the belief that meaningful work transforms lives. Our commitment to earning, learning, and serving fuels everything we do as we strive to connect one million people to meaningful work and build leaders worth following.

Our Culture
At CloudFactory, we believe in building a workplace where everyone feels empowered, valued, and inspired to bring their authentic selves to work. We are:

• Mission-Driven: We focus on creating economic and social impact
• People-Centric: We care deeply about our team's growth, well-being, and sense of belonging
• Innovative: We embrace change and find better ways to do things together
• Globally Connected: We foster collaboration between diverse cultures and perspectives

If you're passionate about innovation, collaboration, and making a real impact, we'd love to have you on board!

Role Summary
As a Senior Software Engineer , you will play a key role in building, scaling and maturing our technology platforms by using cutting-edge technologies. You will work closely with Product teams , Clients and other internal stakeholders to design and develop platform features that enable the teams to deliver the core business . This is an exciting opportunity to grow professionally while contributing to a mission-driven organization.

Responsilbilities

• Architectural Ownership: Lead the design of scalable, distributed systems and define the future of our cloud-native architectures
• High-Performance Engineering: Build, review, and maintain mission-critical production systems primarily in Go
• Ci/CD: Help evolve DevOps practices, including CI/CD, Kubernetes, and infrastructure automation.
• Operational Excellence: Set the standard for reliability, security, and observability; we don't just ship features, we ensure they perform at scale
• Pragmatic Strategy: Manage technical debt and make high-stakes architectural trade-offs that align with business growth
• Client Solution Design: Act as a bridge between the platform and the customer, designing Proofs-of-Concept (PoCs) and supporting complex integrations
• Technical Mentorship: Cultivate a culture of excellence by leading by example through code reviews, design docs, and hands-on support for global teams

Requirements

• 5+ years of experience designing, building, and operating complex software systems at scale
• Mastery of Go (Golang): You are an expert in writing idiomatic, concurrent, and performant Go code
• Cloud-Native Proficiency: You consider Kubernetes and Infrastructure-as-Code (Terraform/CloudFormation) standard tools in a senior engineer's toolkit
• AWS/GCP Expertise: Deep experience navigating managed services, networking, and cloud security within AWS or GCP
• Distributed Systems Background: A strong grounding in microservices, asynchronous messaging, and data consistency
• Obsessively Observant: Proven experience with CI/CD automation and observability stacks (e.g., New Relic, Prometheus, or ELK)
• Client-Facing Presence: The ability to command a room (or a Zoom call) to explain complex technical roadmaps to non-technical stakeholders
• Nice to have: Experience working with LLMs, prompt engineering, model evaluation pipelines, and techniques for improving model quality and reliability

Our current tech stack includes:

• Frontend: JavaScript, React, TypeScript
• Backend: Go, Python
• Databases: DynamoDB, DocumentDB, and Postgres
• Deployment: GitHub Actions
• Observability: New Relic, Grafana
• Infrastructure: AWS services, GCP

Benefits
We offer a comprehensive benefits package (location-dependent), which may include:

• Personal development and growth opportunities
• Great mission and culture
• Meaningful work
• Comprehensive medical cover

At CloudFactory, we believe that work should be more than just a job—it should be a platform for growth, impact, and community. Here, you'll earn with purpose, learn every day, and serve a mission that truly matters. If you're looking for a career where you can develop professionally, contribute meaningfully, and be part of a global movement, we'd love to have you on this journey!

Join us today and be part of our mission to connect people and technology for a better world! Apply now and bring your whole, authentic self to work—we can't wait to meet you!

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

About The Role
We are hiring a Senior Software Engineer for our Data Platform team - the team that owns the core streaming execution and database internals powering Snowflake's platform. You'll work deep in the stack: stream processing runtimes, query execution engines, storage layers, and the distributed systems primitive that everything else is built on.

AS A SOFTWARE ENGINEER, DATA PLATFORM AT SNOWFLAKE, YOU WILL:

• Design and implement high-throughput stream processing systems with strong correctness guarantees - exactly-once semantics, out-of-order event handling, low-latency execution
• Work on database internals - query execution, operator design, storage engine components, or transaction processing at cloud scale
• Own features and systems end-to-end: design, implementation, testing, deployment, and production observability
• Drive architectural decisions that shape the long-term evolution of Snowflake's streaming and core platform layers
• Mentor engineers through design reviews, code reviews, and technical guidance
• Partner across product, infrastructure, and research teams to deliver high-impact, foundational capabilities

OUR IDEAL CANDIDATE WILL HAVE:

• 5+ years of software engineering experience in distributed systems, query engines, streaming infrastructure, or database internals (or equivalent, including research)
• BS/MS/PhD in Computer Science or related field - graduate research in streaming systems, query processing, or database engines is a strong differentiator
• Deep expertise in distributed systems: consistency, fault tolerance, replication, state management
• Hands-on experience with stream processing systems - building, operating, or extending them (industry or academic)
• Proficiency across multiple languages such asJava, Scala, C++, and Python, with a track record of production systems at scale
• Proficiency with AI-native software engineering and agentic development workflows

Ability to lead complex technical projects independently with minimal direction

BONUS POINTS FOR:

• Experience with stream processing engine internals (e.g., state backends, checkpointing, runtime, or operator development) in systems like Apache Flink, Spark Structured Streaming, or similar.
• Experience with SQL engine internals: query optimization, execution plan design, storage formats, or transaction layers
• Published research or thesis work in streaming, real-time query processing, or distributed computation
• Contributions to open-source data infrastructure or database systems
• Familiarity with Spec Driven Development (SDD) and Test Driven Development (TDD)
• Familiarity with formal verification

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

Intrinsic is an AI robotics group at Google aiming to reimagine the potential of industrial robotics. Our team believes that advances in AI, perception and simulation will redefine what’s possible for industrial robotics in the near future – with software and data at the core.

Our mission is to make industrial robotics intelligent, accessible, and usable for millions more businesses, entrepreneurs, and developers. We are a dynamic team of engineers, roboticists, designers, and technologists who are passionate about unlocking the creative and economic potential of industrial robotics.

Role

Our perception technology, in particular pose estimation, is a key differentiator of the Intrinsic platform and enables our users to build flexible automation solutions. The perception experience team builds tools that significantly improve developer productivity when adding perception to an application, from camera onboarding and calibration to training and running a pose estimation algorithm.

We are seeking a highly skilled Software Engineer to join our dynamic perception team working at the heart of Flowstate, our first product built on the Intrinsic platform. In this role, you will be responsible for developing new user interfaces focused on perception user journeys, improving existing user journeys, and integration with the rest of the Intrinsic platform and backend APIs. You will develop the full stack of web interfaces for end-to-end perception tasks, ensuring a cohesive and user-friendly experience throughout our platform. The interfaces you build will shape our product and the role of the human in it.

You are excited by the prospect of owning critical pieces of our user experience (including collaborating with the Product and Design teams, and developing tests). You are excited to work with real cameras and robotic hardware. You have excellent development skills across the web application stack and are excited to be part of a world-class, innovative, frontend team.

How your work moves the mission forward

• Develop intuitive and innovative perception interfaces in collaboration with Product, Design, and Engineering teams.
• Own individual workflows or web UIs critical for Intrinsic’s perception product(s).
• Collaborate closely with product, design, and cross-functional engineering teams to deliver cohesive and delightful user experiences.
• Contribute to the end-to-end tech stack, integrating frontend with backend systems to enable seamless human-robot interaction.

Skills you will need to be successful

• At least Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
• At least 5 years of professional experience in frontend web application development, with proficiency in modern JavaScript/TypeScript and experience with a major web framework (e.g., Angular, React).
• Experience in backend development (C++, Python or similar) required.
• Willingness to learn or familiarity with 3D computer vision, registration techniques, or similar perception topics.
• Experience with building visually-rich web applications.
• Excellent collaboration skills, particularly when working with product and design teams.
• Good written and verbal communication skills in English.

Skills that will differentiate your candidacy

• Experience with 3D graphics and visualization libraries (e.g., Three.js, WebGL) in a web context.
• Experience in building human-machine interfaces for robotics or perception or complex industrial systems.
• Experience with user studies or gathering user feedback to iterate on prototypes.

The base salary for this full-time position is between €128,000 - €131,200 (EUR) + 15% bonus + equity + benefits.
Your recruiter will share more about the specific salary range + bonus + equity for your targeted location and role during the hiring process.
At Intrinsic, we are proud to be an equal opportunity workplace. Employment at Intrinsic is based solely on a person's merit and qualifications directly related to professional competence. Intrinsic does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. It is Intrinsic’s policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity.

If you have a disability or special need that requires accommodation, please contact us at: candidate-support@intrinsic.ai.

Referral bonus: If you know someone exceptional feel free to connect us via LinkedIn (Dennis Agidigbi), if we end up hiring them for a full-time role, you'll receive 10,000€.

🌍 About Zauber
After co-founding and scaling Forto to over $600M in funding, I took a step back to reflect on what’s still broken in global logistics. The answer was clear: it’s still a human-first, spreadsheet-heavy industry, full of repetitive processes and broken system interoperability.

With the rise of AI agents, we now have the tools to rethink that from the ground up. Zauber builds autonomous agents for the global logistics industry, AI workers that handle operational tasks, talk to systems and humans alike, and get better every day.

🚢 We're already live with global logistics leaders in Europe and Asia
💰 Backed by P9 - one of Europe's top early-stage funds
📈 Growing fast and hiring exceptional engineers to join early
Now we are looking for an exceptional Platform Engineer to help us define and build the next generation of AI-powered logistics systems.

🧠 What You'll Do
You will build the infrastructure that our AI agents run on. We've made pragmatic early tooling choices for speed, and as we scale, some will hold and some won't. We need someone who understands the distributed systems principles underneath modern tooling, and can make the right call on when to keep things simple and when to reach for something heavier. This is a foundational role, and you'll design the systems the rest of the team builds on.

• Build and operate the runtime infrastructure that powers our AI agents in production, the systems that customers depend on
• Design for concurrency and failure, including queuing, retries, backpressure, and idempotency, so agent workflows stay reliable under real-world load
• Own production reliability: latency budgets, error budgets, capacity planning, and incident response
• Instrument the stack with tracing, structured logging, and alerting so problems surface before users notice them
• Own the deployment pipeline end-to-end: CI/CD, preview and staging environments, and the path from local dev to production
• Build internal tooling and abstractions that let the product team ship faster without worrying about infrastructure

👤 You Might Be a Fit If You...

• Have experience owning infrastructure end-to-end at a startup, where you picked the tools and lived with the consequences
• Understand distributed systems deeply enough to know what managed platforms are doing under the hood, and where their abstractions will break
• Care about developer experience: deployment pipelines, local dev setups, error messages, and the small things that compound into engineering velocity
• Prefer to automate yourself out of toil rather than accept it
• Want to lay the foundation at a company where infrastructure decisions directly shape the product

🛠 What You Bring

• Strong understanding of distributed systems: concurrency, eventual consistency, event-driven architectures, and failure modes. You have the mental models even if you've implemented them with modern serverless tools rather than raw AWS primitives
• Experience with CI/CD design: multi-environment pipelines, automated testing gates, preview deployments, infrastructure-as-code
• Hands-on experience with platforms like Vercel, and an honest sense of where they scale and where they don't
• Familiarity with workflow orchestration tools like Inngest, Temporal, or Step Functions, and the queueing and retry semantics underneath them
• MongoDB experience: schema design tradeoffs, indexing strategy, and performance tuning as data and query patterns evolve
• Strong observability practice, ideally Datadog, including distributed tracing, custom metrics, and SLO-based alerting
• Enough AWS fluency (ECS, Lambda, SQS, IAM) to know what you'd reach for when the managed tools hit their limits
• High-agency mindset and comfort operating independently in a fast-changing environment

📍 Location & Logistics

• Berlin office preferred, but open for hybrid setups
• Annual offsite (last year we took the team for 4 weeks to San Francisco)
• Start: As soon as possible

💼 What we offer

• Top-of-market compensation and meaningful early equity
• Direct access to real users and fast feedback loops
• A highly experienced team with full trust and autonomy
• The opportunity to shape the foundations of a company and product from day one
• A mission that matters: building intelligent systems to power the future of global trade

🚀 Why Now
We’re not a demo company. We’re in production with real customers, in one of the world’s most critical and complex industries. Demand is not our bottleneck, execution is. This is your chance to join extremely early, shape the company, and build what will become the core infrastructure for global logistics automation.

We envision a world where every shipment is proactively managed by intelligent agents. Where operators have superhuman capabilities at their fingertips and trade never stalls.

🇪🇺 Building from Europe
What drives us personally is the belief that Europe’s long-term prosperity and sovereignty depend on a strong economic engine. We need more AI product-first European global champions on the world stage.

Our mission is to build one of the biggest automation companies in the world - from Europe. While our HQ will be in Europe, we will relentlessly benchmark ourselves with the best globally and sell internationally from the beginning.