IT Infrastructure Engineer at nagarro | Berlin

About the Role nagarro is looking for an IT Infrastructure Engineer in Berlin to help design, implement, and manage IT systems. This role works closely with teams across the company to keep infrastructure secure and running smoothly. What You Will Do Design and build IT infrastructure components Maintain and monitor system performance and security Work with colleagues from different departments to support business needs Contribute ideas to improve efficiency and reliability

Superhuman embraces a dynamic hybrid working model for this position, offering team members the ideal balance of focused work and in-person collaboration that nurtures trust, innovation, and a vibrant team culture.About SuperhumanSuperhuman is at the forefront of AI productivity, empowering individuals to reach their superhuman potential. As the proud home of Grammarly, our suite of applications integrates seamlessly with over 1 million platforms, enhancing productivity through intelligent features. Our offerings include Grammarly's writing assistance, Coda's collaborative spaces, and Go, an AI assistant that proactively provides contextual support. Since our inception in 2009, we have transformed the workflows of more than 40 million users, 50,000 organizations, and 3,000 educational institutions globally. Discover more at superhuman.com.The OpportunityIn pursuit of our ambitious goals, we seek a Site Reliability Engineer (SRE) to strengthen our infrastructure team. This pivotal role involves developing software to enhance the reliability of our backend systems, collaborating closely with engineers, and strategizing for future scalability. You will engage with our existing production engineering teams in the EU as we transition away from the “you build it, you own it” approach.The engineers and researchers at Superhuman are given the freedom to innovate and drive breakthroughs, subsequently influencing our product roadmap. As we expand our interfaces, algorithms, and infrastructure, the complexity of our technical challenges continues to grow. Learn more about our technical endeavors on our technical blog.As an SRE, your responsibilities will include:Scaling our Kubernetes-based control plane that processes billions of events daily.Enhancing our automation systems that respond to workload demands.Deploying machine learning systems company-wide.

About IvyAt Ivy, we are pioneering the world's first programmable bank, positioning ourselves at the intersection of traditional finance and the emerging world of cryptocurrencies. Our vision is to establish a fully regulated, stablecoin-native banking solution that addresses the gaps between conventional banking and the crypto space. We see an immense opportunity, valued in trillions, to create regulated banks leveraging blockchain technology.Currently, we serve some of the leading platforms in the crypto industry, including Kraken. Our goal is to expand our platform to facilitate global correspondent banking and support the next generation of AI agents. If successful, Ivy has the potential to become Europe's first trillion-dollar company.Our team consists of former founders, early employees from unicorn startups, and experts from renowned fintech and banking backgrounds, all supported by premier fintech investors.Your MissionAs a DevOps Engineer, you will focus on enhancing our development productivity and security. You will be responsible for managing the release pipeline, AWS infrastructure, and developer tooling, while also contributing to crucial technical decisions within a close-knit team.Your ProfileYou have a background in engineering with a strong emphasis on infrastructure.You're adept at diving deep into complex issues and developing effective solutions.You strive for optimal performance and proactively address inefficiencies.You thrive in small teams, delivering results quickly and efficiently.You are motivated to achieve outstanding outcomes in the shortest time possible.How We WorkWe are committed to producing high-quality software.We take full ownership of our work, from identifying customer problems to ensuring smooth production deployment.

Join PPRO, where our mission is to facilitate seamless access to local payment methods, empowering global commerce. We envision a world where anyone can purchase goods and services using their preferred payment method. Our partnerships with industry leaders like Ant Group, PayPal, and Stripe enable us to tap into new markets and connect with a broader customer base, accelerating growth for all.Our strength is rooted in our diverse and multicultural team, comprising over 50 nationalities across more than 10 international locations. United by a common goal, we strive to deliver exceptional products and services to our partners and customers. While we focus on innovating global commerce, we embody principles of #chooseaction, #beopen, #thinkcustomer, #gofurther, and #wintogether.Purpose of the Role:As an Infrastructure Engineer II, you will join the Developer Enablement domain, tasked with ensuring that all cross-functional development teams have access to a robust, scalable, reliable, cost-effective, and highly secure infrastructure for their applications. Your expertise will be pivotal in implementing and maintaining our infrastructure framework, paving the way for development teams to thrive. At PPRO, we operate as a cloud-native FinTech, utilizing AWS for our payment services and GCP for analytics.

bunch helps funds and private investors set up and manage investment entities with greater efficiency and security. By combining deep sector expertise with thoughtful technology, the team aims to make private markets more accessible and reliable. Role overview: Senior Platform Engineer This Berlin-based position focuses on designing, building, and maintaining the infrastructure and automation that support bunch’s applications. The Senior Platform Engineer blends DevOps agility with the architectural responsibilities of Platform Engineering, helping development teams deliver secure, high-quality software at scale. What you will do Design, implement, and maintain scalable, secure cloud infrastructure in AWS. Manage infrastructure as code using Terraform or similar tools. Oversee container orchestration platforms, including Kubernetes. Develop and maintain disaster recovery and high availability plans. Build and improve CI/CD pipelines for reliable and efficient deployments. Automate provisioning, configuration management, and application deployments. Integrate automated testing and security checks into delivery workflows. Deploy and manage logging, alerting, and observability tools to monitor system health. Troubleshoot and resolve performance issues, outages, and bottlenecks. Work alongside development teams to resolve deployment challenges. Ensure infrastructure and processes meet security, governance, and compliance requirements. Apply security patches and updates to infrastructure and platform components. Collaborate with software engineers to align development and operational practices. How this role fits in This is a highly collaborative position, connecting operations, development, and security. The Senior Platform Engineer shapes the foundation that enables bunch to deliver reliable products to its users.

Join Mirelo AI, where we are pioneering the future of creative tools by transforming silent video content into immersive sound, speech, and music.Our team is at the forefront of developing advanced generative AI models that bring life to video content, enabling creators across gaming and video platforms to enhance their storytelling. Recently, we secured a strong $41 million Seed funding round, led by prestigious firms including Andreessen Horowitz and Index Ventures, propelling our rapid expansion in Product, Engineering, Go-to-Market, and Growth.About the RoleAs a Training Infrastructure Engineer, you will play a crucial role in optimizing our training stack. Your responsibilities will include profiling GPU behavior, debugging training pipelines, enhancing throughput, selecting optimal parallelism strategies, and building robust infrastructure for efficient model training at scale. You will collaborate on cluster management, model training, and the development of efficient data pipelines for video and audio processing.

Join our dynamic team at Contentful as a Senior Software Engineer specializing in Backend & Infrastructure. In this pivotal role, you will design and implement robust backend systems that power our content platform. Collaborate with cross-functional teams to enhance our infrastructure, driving innovation and efficiency in our development processes.

Berliner Verkehrsbetriebe (BVG) is hiring a Structural Engineer (m/f/d) to work on subway infrastructure throughout Berlin. This role plays a key part in projects that strengthen the city’s public transport system. Role overview The main focus is on maintaining and improving the safety and reliability of subway structures. This includes supporting ongoing efforts to ensure that stations, tunnels, and related facilities meet high standards for durability and performance. What you will do Contribute to projects that upgrade and maintain Berlin’s subway infrastructure Support initiatives aimed at enhancing the safety of subway structures Help ensure reliability across the transport network Location This position covers projects citywide (Berlinweit).

Intercom builds AI-powered customer service tools for businesses worldwide. Our flagship AI agent, Fin, helps companies deliver responsive support at any hour. Combined with our Helpdesk, these tools form the Intercom Customer Service Suite, which blends AI automation with human expertise for more complex questions. Since 2011, nearly 30,000 businesses have relied on Intercom to improve their customer experience. Our team values fast iteration, continuous learning, and delivering real value to clients. Role overview Intercom is hiring Senior AI Infrastructure Engineers in Berlin to design and scale the systems behind our next generation of AI products. The AI Infrastructure team works across the stack, from GPU-level programming to the user-facing agents that handle millions of support conversations each month. This group builds and maintains training pipelines and inference systems for custom models like Fin Apex, which are central to our AI offerings. Collaboration with a tight-knit, highly skilled team is part of the role. What you will do Develop and scale training pipelines for large transformer and LLM models, including data ingestion, preprocessing, distributed training, and evaluation. Build and optimize inference services for low-latency, reliable customer experiences, covering autoscaling, request routing, and fallback mechanisms. Improve GPU-level performance by tuning kernels, increasing utilization, and identifying bottlenecks across both training and inference stacks. Work closely with machine learning scientists to implement new training and inference techniques. What we look for Demonstrated experience in model training or inference at scale, with strong skills in low-level GPU programming (such as CUDA or Triton). Experience across multiple areas is a bonus.

Speechify builds technology that removes barriers to learning. Over 50 million people use our text-to-speech tools to turn PDFs, books, Google Docs, news articles, and websites into audio. Our products span iOS, Android, Mac, a Chrome Extension, and a Web App. Recognition includes Chrome Extension of the Year from Google and the 2025 Design Award for Inclusivity from Apple. Our fully remote team numbers nearly 200, including frontend and backend engineers, AI research scientists, and professionals from companies like Amazon, Microsoft, and Google. Many hold advanced degrees from top programs such as Stanford. Role overview Speechify is hiring a Software Engineer for the AI Data team. This position focuses on the entire data collection pipeline that supports model training. The work combines infrastructure, engineering, and research to build large-scale, high-quality datasets efficiently and cost-effectively. Location Berlin, Germany

Intercom, based in Berlin, Germany, builds AI-powered tools that help businesses deliver customer service at scale. Nearly 30,000 companies worldwide rely on Intercom’s products, including Fin, an AI agent that handles customer queries around the clock. When integrated with Intercom’s Helpdesk, Fin becomes part of a broader suite designed to support both automated and human-assisted service. About the Role The AI Models Infrastructure Team sits within Intercom’s AI Group. As Engineering Manager, lead a team focused on designing and maintaining the infrastructure that powers Intercom’s AI models. This work is central to how Intercom’s AI capabilities evolve and scale. What You Will Do Guide a team of engineers responsible for building and supporting the systems behind Intercom’s AI models. Apply technical expertise to help the team navigate a fast-changing field. Foster a culture of continuous technical learning and growth. Collaborate with other teams to ensure the AI infrastructure meets product needs. What You Bring Strong technical background in AI or related fields. Experience leading engineering teams. Commitment to staying current with new developments in AI infrastructure. Learn More Explore Intercom’s engineering culture: intercom.engineering Read about Fin: fin.ai

About the Role airapps is looking for a Backend Engineer to help shape backend systems for our applications. This position is based in the Berlin Metropolitan Area. What You Will Do Design and build backend systems that support our products Focus on scalability and performance throughout development Location Berlin Metropolitan Area

About Anthropic Anthropic is committed to building AI systems that are reliable, interpretable, and steerable. The team’s mission centers on making AI safe and beneficial for both users and society. Researchers, engineers, policy experts, and business leaders collaborate closely to advance this goal as the company grows. Role Overview: Infrastructure Engineer (Sandboxing Team) The Infrastructure Engineer will join the Sandboxing team within Anthropic’s Research organization in Berlin. This role focuses on designing and scaling the systems that let researchers safely run and experiment with AI-generated code and interactions inside controlled environments. As Anthropic’s AI models become more capable, secure execution infrastructure grows in importance. The work involves building distributed systems that must operate reliably at scale while maintaining strict security boundaries. Contributions in this position directly support Anthropic’s mission to develop safe, beneficial, and trustworthy AI systems. Key Responsibilities Design, build, and maintain distributed backend systems for secure sandboxed execution environments. Scale infrastructure to support expanding research and product needs, focusing on reliability and performance. Implement and manage serverless architectures and container orchestration systems. Collaborate with research teams to gather requirements and translate them into effective infrastructure solutions. Develop monitoring, alerting, and observability systems to ensure high operational standards. Participate in on-call rotations and incident response to help maintain system reliability. Enhance infrastructure automation and tooling to improve developer productivity. Work with security teams to ensure sandboxing infrastructure meets required isolation standards. What Makes a Strong Candidate More than 5 years of experience building and managing backend infrastructure at scale. Deep understanding of distributed systems design and implementation. Strong operational background, including troubleshooting complex production issues. Proficiency with cloud platforms, especially GCP/GCS; experience with AWS or Azure is a plus. Familiarity with containerization technologies and practices.

At SumUp, our mission is to empower small businesses by providing them with accessible and user-friendly tools for payments, finance, and customer relationships. We are a dynamic team grounded in our core values: Founder’s Mentality, Team First, and We Care. We foster an organization that is people-oriented, disciplined, and consistently innovating from within. Agility is at the heart of what we do, and we strive to create an environment that nurtures it. As part of our Global Operations team, you will play a pivotal role in enhancing the customer experience in fintech. The Senior AI/ML Engineer position is essential for the development and deployment of cutting-edge AI solutions that streamline support processes and significantly enhance the experience for our merchants and support agents. You will be a central figure in building and maintaining the ML infrastructure and tools that support our core products utilizing advanced AI/ML models. This role is vital for sustaining our growth, particularly as we expand complex applications such as our AI Assistant and translation tools.

Your ResponsibilitiesTake ownership of the backend systems that facilitate thousands of hotel bookings every day.Architect, develop, and maintain our core booking infrastructure, ensuring robust integrations with PMS platforms, channel managers, and payment processors.Establish and uphold a resilient API layer that supports our React frontend operations.Elevate the engineering standards through effective system design, transparent communication, and strong technical leadership.Collaborate closely with the founders to influence the long-term architecture and foster a culture of engineering excellence.

Join our innovative team at dreessommerse as a (Senior) Civil Engineer specializing in Infrastructure Planning for Energy Projects. In this pivotal role, you will be responsible for designing and implementing sustainable solutions in energy infrastructure, contributing to both project success and environmental stewardship.

Are you passionate about shaping the future of infrastructure and energy projects? Join dreessommerse as a Junior Civil Engineer (m/f/d) in Berlin. In this role, you will contribute to innovative projects that enhance urban landscapes and promote sustainable energy solutions.

We are seeking a highly skilled Senior Civil Engineer specializing in infrastructure and energy projects to join our dynamic team at dreessommerse. In this role, you will lead engineering initiatives, ensuring compliance with industry standards while delivering innovative solutions for our clients. Your expertise will contribute to the successful execution of various large-scale projects, driving both technical excellence and project efficiency.

Join Yazio as a Senior Platform Engineer and play a pivotal role in enhancing our platform's performance and scalability. You will collaborate with a dynamic team of engineers to design and implement innovative solutions, ensuring our users have the best experience possible.

Referral Bonus: Do you know a standout talent? Connect us via LinkedIn (Dennis Agidigbi) and if we hire them for a full-time position, you’ll earn a bonus of €10,000. About ZauberAfter co-founding and scaling Forto to over $600 million in funding, I took time to reflect on the persistent challenges in global logistics. The answer was evident: it remains a human-centric, spreadsheet-dependent field, rife with repetitive tasks and inadequate system interoperability.With the advent of AI agents, we now possess the capability to revolutionize this sector from the ground up. Zauber develops autonomous agents for the global logistics industry—AI workers that manage operational tasks, engage with systems and individuals, and continuously improve. We are already operational with leading logistics companies across Europe and Asia Supported by one of Europe’s premier early-stage funding firms Rapidly expanding and seeking exceptional engineers to join our early teamWe are currently in search of an outstanding Platform Engineer to assist us in defining and constructing the next generation of AI-driven logistics systems. Role OverviewYou will develop the infrastructure that supports our AI agents. We have made practical early tooling decisions for efficiency, and as we grow, some will thrive while others may not. We require a candidate who comprehends the principles of distributed systems behind contemporary tools and can discern when to maintain simplicity versus when to implement more complex solutions. This is a foundational role where you will architect the systems that the rest of the team will rely upon. Key ResponsibilitiesCreate and manage the runtime infrastructure that sustains our AI agents in production, ensuring the systems are reliable for our customers.Design for concurrency and failure, incorporating queuing, retries, backpressure, and idempotency to ensure agent workflows remain dependable under real-world conditions.Take charge of production reliability, including latency budgets, error budgets, capacity planning, and incident management.Implement monitoring tools with tracing, structured logging, and alerting to identify issues before they impact users.Manage the deployment pipeline comprehensively: CI/CD, preview and staging environments, and the transition from local development to production.Develop internal tools and abstractions that empower the product team to expedite their delivery without compromising quality.