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You will be responsible for managing the Agile Robots Group's patent, trademark and design portfolio. Based in Munich, you will work across a group with production sites in Europe, the Americas and Asia. The portfolio comprises more than 1,700 files. You will be supported by an IP Paralegal and a Chinese Patent Attorney based in China. External patent and trademark attorneys handle the drafting and filing of new applications. You will coordinate their work with inventors, business teams and other internal stakeholders, and report to the General Counsel of Agile Robots Group. Your Responsibilities: Manage the IP portfolio: Oversee pending applications and granted rights, regularly review their strategic value, and instruct external counsel on prosecution, maintenance and portfolio decisions. The portfolio covers Germany, European patents (including unitary patents and national validations), the US, China, Japan, Korea, India and other jurisdictions. Develop new IP: Serve as the main contact for inventors, product designers and marketing teams. Review invention disclosures, assess them against business priorities and applicable legal requirements, including the German Employee Inventions Act ( ArbnErfG ), and instruct external counsel on new applications. Conduct patent research: Carry out prior art and state-of-the-art searches using professional patent databases. Monitor competitor portfolios and technology trends, and turn your findings into practical advice for R&D and management. Coordinate freedom-to-operate reviews: Work with product teams to identify relevant features, markets and risks during development and before launch. Conduct reviews in-house or coordinate external specialists where needed. Support IP strategy and transactions: Contribute to IP due diligence, portfolio valuation and monetisation, cost control and the integration of acquired IP portfolios, including changes of ownership and representation. Identify and address infringement: Establish a practical process for monitoring potential infringement and support enforcement matters and litigation alongside internal and external lawyers. Support licensing and other IP matters: Work with legal colleagues on inbound and outbound licences, trade secrets, know-how and copyright matters. Essential Skills: A degree in engineering, physics, computer science or a related technical field, together with qualification as a European Patent Attorney and/or German Patent Attorney. At least five years' experience as a patent attorney, preferably including two or more years in an in-house role. Experience with computer-implemented inventions and the ability to assess complex technical matters in a commercial context. The ability to explain IP issues clearly to engineers, business teams, lawyers and management across different cultures and jurisdictions. A hands-on, pragmatic and collaborative approach. You set priorities, improve processes and make sound decisions with incomplete information. Fluency in German and English. Beneficial Skills: Experience in an international company in robotics, automation, industrial technology or a related sector. A technical background in computer science, software engineering or electrical engineering, particularly with experience in AI-related patent applications. Chinese language skills. What we offer A dynamic high-tech company, combined with financial soundness and world-class investors. Join an interdisciplinary, international team with 60+ different nationalities in a collaborative work environment. Lots of development opportunities as we continue to grow. Challenging tasks and impactful projects alongside experts that enable professional and personal growth. Corporate Benefits Program covering health, mobility, and learning for 100€ net per month. Modern office facilities with a rooftop terrace overlooking Munich, free drinks & fruits, and regular company events contribute to a good working environment About us Agile Robots is a leading provider of AI-powered robotics solutions. By combining artificial intelligence and robotics, the company makes industries smarter, more flexible, and more efficient. Founded in Munich in 2018 by renowned robotics researchers from the German Aerospace Center (DLR), Agile Robots has experienced rapid global growth. Today, more than 3,500 highly skilled robotics and AI enthusiasts are employed worldwide. The company has one of the largest research and development teams in the AI and robotics industry. Agile Robots has built a unique portfolio, together with the subsidiaries BÄR Automation, Franka Robotics, idealworks, and Krause Automation, the company covers all areas of AI-driven robotics. Find out more at: https://www.agile-robots.com/en/ Find more English Speaking Jobs in Germany on Arbeitnow

At Stark, we forge the future of European and national security through cutting-edge, AI-driven technology and unmatched engineering precision. As a premier defence technology company, our mission is clear: to equip NATO Allies and their partners with next-generation autonomous defence platforms and advanced AI-driven software built to perform in the world's most demanding environments. We believe that true security stems from relentless innovation. By combining elite engineering talent with agile technology and an AI-native operational culture, Stark turns complex defence challenges into field-tested, multi-domain solutions. WHY JOIN US The software and systems you work on directly protect personnel and defend European and national sovereignty. You will work alongside industry-leading minds on autonomous systems, advanced propulsion, and secure cyber platforms. We foster a fast-paced, collaborative environment where bold ideas are supported by serious R&D backing. ABOUT THE TEAM You will join our C-UAS Edge Software engineering team dedicated to building resilient counter-unmanned aerial system technologies. The team works closely across hardware and software disciplines to deploy real-time software on edge systems. We value rapid iteration, field testing, and collaborative problem-solving to meet critical defence challenges. YOUR MISSION As a UAV Engineer (Working Student) – C-UAS Edge Software, you will support the design, development, and testing of edge software running on autonomous UAV and counter-UAS platforms. You will collaborate directly with software and hardware WHAT YOU WILL DO AT STARK Develop and integrate C-UAS software components for edge processing and embedded Linux environments. Assist in real-time signal processing, sensor fusion, and telemetry data pipeline implementation. Conduct software testing in simulation environments and support physical field testing on UAV hardware. Optimize software algorithms for low-power edge hardware and embedded computing units. Collaborate with cross-functional teams to resolve hardware-software integration issues. Maintain clear technical documentation and automated test suites for software releases. WHAT YOU BRING TO THE MISSION Currently enrolled in a Bachelor's or Master's degree in Aerospace Engineering, Computer Science, Electrical Engineering, Robotics, or a related technical field. Solid programming experience in C++ and/or Python. Basic understanding of Linux operating systems, networking protocols, and embedded system environments. Familiarity with UAV architectures, robotics frameworks (e.g., ROS/ROS2), or drone flight controllers (e.g., PX4, ArduPilot). Fluency in English; strong communication and teamwork skills. NICE TO HAVE Hands-on experience with hardware-in-the-loop (HIL) testing or field flight testing of unmanned aircraft. Experience with edge AI acceleration hardware (e.g., NVIDIA Jetson, Coral). Knowledge of RF technologies, radar systems, or optical sensing for counter-drone applications. If you're interested in building the future of European Defence with us, and you see yourself reflected on the description above, please send us your CV in English . We're looking forward to meeting you! SECURITY CLEARANCE Due to the nature of our work in the defence sector, candidates must be eligible to obtain and maintain the appropriate security clearance required for this position. Details will be provided during the recruitment process. EQUAL OPPORTUNITY We are an equal-opportunity employer committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability, or any other characteristic protected by applicable law. DATA PRIVACY STATEMENT This data privacy statement, which refers exclusively to data collected as part of the online application process, is to inform you about how your personal data that is collected as part of the online application process is handled at our end. The controller The controller under data protection law is: SKD SE Französische Strasse 12, 10117 Berlin Commercial register entry number: HRB 260878 Registration Court: Amtsgericht Charlottenburg Data Protection officer: heyData GmbH, Schützenstraße 5, 10117 Berlin, www.heydata.eu , ----- Personal data collected as part of the application process Personal data means any information concerning the personal or material circumstances of an identified or identifiable individual. This includes information such as, for example, your name, address, telephone number and date of birth, but also data relating to your specific career etc. by reference to which a specific individual can be identified with reasonable effort. However, information which cannot be (in)directly associated with your real-life identity is not personal data. Fundamentals and purposes of processing personal data collected from application documents and during the application process If you apply to us electronically, i.e. via e-mail or using our online form, we will collect and process your personal data for the purpose of executing the application process and preparing contracts. By submitting an application via our recruitment website, you express your interest in taking up work with us. In this context, you transmit personal data, which we will use and store exclusively for the purpose of your job search / application process. In particular, the following data is collected during this process: name (first and last names) e-mail address phone number LinkedIn profile (optional) channel through which you found us Furthermore, you can choose to upload expressive documents such as a cover letter, your CV and reference letters. These may contain additional personal data such as date of birth, address etc. Only authorized HR staff and/or staff involved in the application process have access to your data. The personal data is stored, as a rule, exclusively for the purpose of filling the vacancy for which you have applied. Your data will be stored for a period of 180 days after the application process has been concluded. This is usually done to fulfill legal requirements and/or defending ourselves against any claims arising from legal provisions. After this period, we are obligated to delete or anonymize your data. In case of anonymization, the data will only be available to us in the form of so-called metadata, without any direct personal reference, for statistical analysis (for example, share of male and/or female applicants, number of applications per specified period of time etc.). Furthermore, we reserve the right to store your data for 180 days after the application process has been concluded for the purpose of adding it to our Talent Pool in order to identify any other vacancies that may be of interest to you. This includes, for example, applications for apprenticeships or internships. By accepting the data privacy statement, you consent to any further storage of your data as well as its inclusion in our Talent Pool. Should you be offered and accept a position with us during the application process, we will store the personal data collected as part of the application process for at least the duration of your employment. Disclosure of data to third parties Data transmitted as part of your application will be transferred using TLS encryption and stored in a database. This database is operated by Greenhouse, which offers a human resource and applicant management software solution (https://www.greenhouse.com/data-processing-addendum). In this context, Greenhouse is our processor under article 28 of the GDPR. In this case, the processing is based on an agreement for the processing of orders between us as the controller and Greenhouse. Rights of data subjects If we as the controller process personal data, you as the data subject have certain rights under Chapter III of the EU General Data Protection Regulation (GDPR), depending on the legal basis and the purpose of the processing, in particular the right of access (article 15 of the GDPR) and the rights to rectification (article 16 of the GDPR), erasure (article 17 of the GDPR), restriction of processing (article 18 of the GDPR), and data portability (article 20 of the GDPR), as well as the right to object (article 21 of the GDPR). If the personal data is processed with your consent, you have the right to withdraw this consent under article 7 III of the GDPR. To assert your rights as a data subject in relation to the data processed during this online application process, please refer to our Data Protection Officer (see item 2). Concluding provisions We reserve the right to adjust this data privacy statement at any point in time to ensure that it is in line with the current legal requirements at all times, or in order to accommodate changes in the application process or other processes. In this case, the new data privacy statement applies to any later visit of this recruitment website or any later job application. LEGAL NOTICE 1. Information according to § 5 DDG SKD SE Französische Str. 12 10117 Berlin Internet: www.stark-defence.com E-Mail: ----- SKD SE, Berlin (registered office of the company), is a Societas Europaea (legal form for joint stock companies), registered at the district court of Berlin (Charlottenburg) under the register number: HRB 260878 B, represented by the Executive Board: Uwe Horstmann, Dr. André Schneider, Johannes Schaback, Jan-Patrick Helmsen, Martin Rost. Chairman of the Supervisory Board is Mr. Robert Maier. VAT ID No.: DE369778559 2. Liability We are responsible for the content of our website in accordance with the provisions of general law. All content is created with the necessary care and to the best of our knowledge and is for information purposes only. Insofar as we refer on our Internet pages to the Internet pages of third parties by means of hyperlinks, we cannot accept any liability for guarantee that the linked content is always up to date, correct and complete, as this content is outside our responsibility and we have no influence on its future design. If, in your opinion, content violates applicable law or is inappropriate, please let us know. The legal information on this page as well as all questions and disputes in connection with the design of this website are subject to the law of the Federal Republic of Germany. 3. Data Protection You can find our data protection information here. There you will also find the contact details of our data protection officer. 4. Copyright Information The texts, images, photos, videos and graphics on our website are generally protected by copyright. Any unauthorized use (in particular the reproduction, editing or distribution) of this copyright-protected content is therefore prohibited. If you intend to use this content or parts thereof, please contact us in advance using the details above. If we are not ourselves the owner of the required copyright usage rights, we will endeavor to arrange contact with the entitled party. Find Jobs in Germany on Arbeitnow

About Upsun Upsun is the software factory for human-AI workflows. We give teams one unified platform to create, review, deploy, and run software, with AI agents and humans working in sync. Developers, DevOps engineers, and platform teams use Upsun to build and ship with confidence, without wrestling with infrastructure. Upsun brings this together through two products: one that shapes the work, and one that runs it. Upsun Dispatch™: the AI-first product accelerator. Dispatch governs and simplifies collaboration between AI agents and cross-functional human teams, so work gets shaped, reviewed, and moved to production faster. Ship better code, not just more code. Upsun Cloud: the Cloud Application Platform for AI acceleration. Cloud is where that software runs. It helps organizations launch agentic software into production confidently and reliably, with: Predictable performance, even at scale Secure, compliant environments by default Real-time observability and profiling built in Cloning, configuration, and provisioning in seconds Sandbox environments where AI agents can build and test safely The name says it all. "Up" means uptime, reliability, and acceleration. "Sun" reflects our follow-the-sun-support, a 24x7, globally distributed support team keeping the lights on while you rest. Our core belief is that software should power brighter solutions and greater innovation. What's our commonality, our cultural fabric? A curious spirit and a thirst for knowledge; an eagerness for innovative ideas and cultures. We believe we can build anything together in an environment that frees you to do your best work. Our values: 🌿 We make a positive impact. ✨ We aim for the stars. 💚 We care for each other. Impact of a Product Manager As a Product Manager at Upsun, you own a significant area of Upsun Cloud, our cloud application platform, and the outcomes it delivers for the developers who build on it. The team you join owns the platform's foundations: the API, the runtime, environments, and the reliability every application running on Upsun depends on. And because Upsun is the cloud application platform humans and robots love, much of what you build will be used by AI agents as much as by people. This is a hands-on, technically rich role that bridges product strategy and deep infrastructure understanding. You own the strategy and the roadmap for your area, working closely with engineering to define platform behavior, build scalable abstractions, and shape workflows that empower modern development teams. Throughout, you act as the key voice for the user, making sure everything we ship contributes meaningfully to an exceptional developer experience. What to expect Strategy and roadmap: Own the strategy, roadmap, and priorities for your area of Upsun Cloud, balancing established foundations with uncharted territory. Problem definition: Synthesize inputs from customers, support, sales, and engineering into clear problem statements, constructively testing underlying assumptions. Solution definition: Explore options with your team, weigh trade-offs, and land on the right scope. Ship small, iterate fast: Release in increments and shorten the loop between shipping and learning. Technical execution: Collaborate with engineering (especially infrastructure and systems teams) to deliver platform capabilities that are reliable, scalable, and developer-friendly. Design for humans and agents: Build with two audiences in mind—ensuring features, APIs, documentation, and error messages serve both people and AI agents. Customer and data authority: Connect with customers regularly, serve as an internal advocate for their needs, and define metrics that demonstrate value for users and the business. Influence across teams: Build alignment across engineering, design, Product Marketing, support, and leadership. Go-to-market: Partner with Product Marketing early so go-to-market strategy helps shape the product, not just the launch. What you bring Product management experience: Proven experience in product management owning a distinct product area, ideally focused on developer platforms, PaaS, or cloud infrastructure. Technical depth: Understanding of building, deploying, and running applications in the cloud, with the ability to collaborate closely with infrastructure engineers on multi-tenant architectures or distributed systems. Software development background: Familiarity with building software using languages such as Python, Ruby, JavaScript, PHP, Go, or Rust. CI/CD, containers & APIs: Hands-on experience or close collaboration with CI/CD workflows, Docker/OCI container technologies, and a clear vision for intuitive API design. AI fluency: Daily use of modern AI tools to research, draft, and prototype workflows, paired with a realistic understanding of where current tools and models fall short. Agentic development: A strong perspective on autonomous agent architecture and how agentic workflows are transforming modern software engineering. Navigating ambiguity: Comfort with turning unstructured problem spaces into clear strategies and taking thoughtful action even with incomplete information. Collaborative communication: Clear written and verbal communication skills, with a track record of listening, building consensus, and uniting teams around a shared vision. Data-informed decision making: Ability to seek out and evaluate data to guide decisions and track success. Bonus points for Enthusiasm for using and testing the platform capabilities you help build. Experience using Kubernetes, or building self-service platforms on Kubernetes Where we hire At Upsun, remote work isn't just a trend. It's our foundation. Upsunners are a global workforce, and we thrive in a multicultural team. We're committed to open source and an open, welcoming environment. Our team spans more than 30 countries and a wide range of experience levels, and we're currently hiring for this role in Germany, Canada, Spain, France, and the UK . We're unable to provide visa sponsorship at this time, but we welcome applications from all qualified candidates who are legally authorized to work in these countries. How we hire Our interview process is a chance for us to understand how you think, what you've built, and what you want to take on next, and for you to get to know us. Together, we'll explore where your strengths and interests meet the challenges our teams are solving. We know a great hire won't meet every requirement above. If you can see yourself making the team better, we want to hear your story. Few of us would be here if someone hadn't taken a chance on us. You can expect 5 video interviews on Google Meet to follow the order below. 45 Minutes with Talent Acquisition 60 Minutes with Hiring Manager (Director, Product) 60 Minutes with Team (IC's) 60 Minutes with Product Leaders 45 Minutes with Executive (CTO) All roles require background checks. What we offer 💡 A product you can believe in - Join us in transforming how businesses build and manage web applications, driven making a positive impact as a proud B Corp . 🏆 An Award-Winning Workplace - We've been recognized by Forbes' Top 30 Companies for Remote Jobs and France's Best Workplaces for Women. 🗣️ A culture that values your voice - Join a flexible, open, and inclusive work environment where your voice is encouraged, and your ideas shape our growth and evolution. 🌎 A global team - Collaborate with colleagues from diverse backgrounds across the world, embracing different perspectives 🎉 Benefits and perks - Make the most of what matters to you 🏝 Flexible PTO 🩺 Comprehensive healthcare coverage (UK, Canada, France, Spain, USA) 📈 Company stock options 🧠 Professional development budget 💻 Office equipment budget 💆‍♀️ Wellness budget 🧳 Annual team gatherings 🛜 Internet reimbursement 👶 Inclusive parental leave ✈️ Remote work travel program You belong here At Upsun, we celebrate diversity in all its forms and are committed to fostering an inclusive, equitable, and supportive workplace where everyone can thrive. We embrace and value different perspectives, backgrounds, and experiences, because they make us stronger as a team. Whoever you are, wherever you're from, and whatever path you've taken, you are welcome here. We encourage you to bring your whole self to work, connect with others, and share your passion. If you need accommodations at any stage of our hiring process, please let us know. We're here to ensure an accessible and comfortable experience for you. Find Jobs in France on Arbeitnow

Cybersecurity Analyst Who we are: Creyos (formerly Cambridge Brain Sciences) is a leading growth-stage B2B SaaS HealthTech company. Our proprietary brain health tools, including digital cognitive assessments and mental health questionnaires, are used by healthcare practitioners treating mental health conditions, brain injuries, aging, and other patient populations throughout the world, as well as by leading researchers. To learn more about our organization, please visit www.creyos.com . You will be part of a team that includes not just your typical SaaS business functions (Sales, Marketing, Customer Success), but also engineers, psychologists, business leaders, and even a world-renowned neuroscientist. We are proud to say that you will be surrounded by some of the smartest, enthusiastic, hard working and dedicated people that you?ll ever meet (at least, that we?ve ever met!). Who we are looking for: At Creyos, we understand that solving big challenges demands unwavering resilience and determination. We don?t stop until we achieve our goals. People who thrive at Creyos are driven, curious, hardworking, and enthusiastic about scaling a company - along with having a good sense of humor. If this resonates with you, we?d love to hear from you! We are looking for a Cybersecurity Analyst to join our team to drive the implementation of compliance and information security initiatives, and ensure our business practices meet the requirements of industry standards. This role will support our team as our on-site cybersecurity point of contact for IT support, hardware asset management, and physical security. This is an in-person role located at our Toronto office. What you will be doing: As a Cybersecurity Analyst at Creyos, you will: Perform vulnerability/risk assessments and control testing across applications, networks, and infrastructure to remediate vulnerabilities and support secure software deployments. Lead initial triage, resolution, and escalation for security incidents and support requests while monitoring the latest advisories, alerts, and regulatory changes. Drive physical and technical security assessments, lead audit evidence collection/inquiries, and deliver remediation reports to key stakeholders. Develop, recommend, and maintain security policies, standard operating procedures (SOPs), and operational runbooks. Administer end-to-end identity lifecycles (provisioning, offboarding, and role-based access control) grounded in least-privilege principles. Maintain complete oversight and lifecycle inventory of all hardware assets. Deliver security-centric on-site IT support, including network hardening, hardware setup, account provisioning, and troubleshooting. Mentor team members and drive internal knowledge sharing through technical presentations and documentation. The skills and experience we are looking for: 1-3 years professional work experience in information security; Working knowledge of collaboration tools such as JIRA and Confluence; Understanding of core security concepts: least privilege, access control, incident handling, and asset lifecycle management; Ability to configure, implement, and maintain security tools as well as the configuration of data sources for metric reporting/tracking; Experience with security tools and methodologies for conducting vulnerability and application security assessments; Ability to analyze IT solutions and technology infrastructure to identify and assess security vulnerabilities, threats, and risks; Understanding of industrial frameworks such as NIST, SOC 2, or similar compliance frameworks;</

About Citylitics Inc. Citylitics delivers predictive intelligence on where, how, and why infrastructure investments will occur across North America. Infrastructure includes the foundational systems that shape our quality of life: water, transportation, transit, roads and highways, broadband, and power. It represents a multi-trillion-dollar market and a 20+ year megatrend in North America. Citylitics transforms millions of documents across more than 40,000 cities, utilities, and public agencies into real-time market signals and high-value sales intelligence. Leading infrastructure vendors, engineering firms, and construction companies use the platform to identify and pre-position for major infrastructure opportunities earlier, helping them build relationships, shape project priorities, and influence scope before projects move to formal procurement. Citylitics combines a network of AI agents, fine-tuned models, a proprietary infrastructure signals graph, and daily human-in-the-loop quality assurance workflows to deliver highly nuanced and reliable sales intelligence. The platform integrates seamlessly with CRMs, ERPs, and data lakes, embedding actionable insights directly into sales workflows so teams can prioritize the right pursuits and build stronger pipelines. Our mission is to improve how infrastructure investments get made so critical needs can be addressed earlier and communities benefit from stronger, more resilient infrastructure. Join Citylitics to work in a meaningful industry that will matter for decades to come while helping grow a company at the forefront of applied AI. We operate with a Results-Driven Mentality and a commitment to Raise The Bar, in a collaborative environment where Teamwork Makes the Dream Work as we tackle big challenges and celebrate wins together. Who Are We Looking For? We're looking for a skilled and enthusiastic Data Engineer to join our growing team! We're a close-knit group building and maintaining mission-critical data products, and we need someone who can hit the ground running. This role requires a strong command of data engineering best practices, a track record with orchestration and data warehouses, and hands-on experience shipping LLM and agentic workflows to production. You'll own the design, build, and operation of production data pipelines that use AI to power customer-facing solutions. You'll work with technologies we already use, including GCP services like Cloud Composer, Cloud SQL, BigQuery, and Vertex AI. Beyond the technical skills, we value collaboration, sound engineering judgment, and the ability to adapt as AI tooling changes fast. If you're passionate about data, have put AI into production and want to do more of it, and are excited by impactful projects, we encourage you to apply. This is a hybrid role based out of Citylitics? Toronto office and requires 3+ days in-office per week. What Will You Accomplish? / How You Will Make An Immediate Impact: Pipeline Orchestration: Lead the development of highly performant, reliable, and maintainable pipelines using Airflow and BigQuery, from architecture and design through testing, deployment, monitoring, and maintenance. You'll make design decisions independently and own the systems you build. Data Modeling & Dashboards: Partner with data analysts and stakeholders to define requirements and design scalable data models and applications. You'll own data products end to end, from the pipelines and models through the backend APIs to the customer-facing dashboards and apps built on them. AI & Agentic Workflows: Design and operate pipelines that use LLMs and agents to turn raw documents into structured, useful data. This includes prompt and context design, tool and func

Ciq Overview CIQ builds the enterprise infrastructure that powers the world's most demanding workloads. From the operating system layer through AI infrastructure, high-performance computing, and cloud-native orchestration, CIQ delivers the speed, security, scalability, and sovereignty that major enterprises, government agencies, and research institutions depend on. CIQ is the founding support and services partner of Rocky Linux and the developer of the RLC Pro family of Enterprise Linux distributions, Fuzzball workload orchestration, Warewulf Pro cluster provisioning, and Ascender Pro automation. Our customers include some of the largest and most technically sophisticated organizations in the world, working across HPC, AI/ML, defense, and regulated industries. We are a company of builders, operators, and open source practitioners. If you want to do work that matters, at a company that is genuinely changing how enterprise infrastructure gets built and run, we want to talk. Position Summary As a Principal Kubernetes Engineer, you will work within the Engineering department to design, develop, and support enterprise Kubernetes solutions by contributing to the products and infrastructure for CIQ. You will also maintain our systems' capacity and performance. You need to be able to troubleshoot and improve applications and processes. You'll analyze current code and industry developments to design engineering solutions to solve problems and create seamless user experiences. Additional responsibilities include, but are not limited to: Leading and participating in architecture-level discussions, planning, and implementation. Researching to ensure that what we are building is always the best path forward. Documenting projects to share knowledge and facilitate integration for users. Driving proof of concepts and minimum viable products for demonstration. Supporting multiple services before they go live through activities such as system design consulting, developing software platforms and frameworks, capacity planning, and launch reviews. Improving products by collaborating with Engineering teams, Product teams, Sales teams, and open-source communities (as needed) on optimal and relevant solutions while sharing knowledge. Designing and guiding solutions by filling the gap in ambiguous requirements. NEEDED TO SUCCEED Successful Candidates Will Have An understanding of Linux and Cloud infrastructure. Deep, hands-on expertise with Kubernetes and the cloud-native ecosystem (operators and custom controllers, CRDs, Helm, the API machinery), plus strong Go, Pulumi, and related engineering tools. A demonstrated mastery of Linux and cloud(AWS/Azure/GCP). The ability to pivot to new challenges in a fast-paced startup environment. Expertise in deriving solutions from high-level or incomplete requirements. Strong problem-solving skills and an eagerness to learn. Excellent verbal and written communication skills. The ability to work independently and collaboratively in a remote team environment. A friendly, collaborative, humble, honest, and always striving-to-be-better attitude. Flexibility to support an on-call rotation. Education And Experience A Bachelor's degree in Computer Science or a similar field. At least 10 years of software and infrastructure engineering experience, with deep expertise designing, building, and operating production Kubernetes and Go services at scale. A demonstrated mastery of Linux and cloud(AWS/Azure/GCP). Experience building Kubernetes operators, custom controllers, or a Kubernetes distribution is a plus. Benefits Medical, dental, and vision insurance. Flexible paid time off. Employee stock options. Remote work; no travel required for most positions.

Senior Software Engineer – Kubernetes Operators & Controllers Location: Dallas, TX Preferred Work Arrangement: Hybrid, 3 Days Onsite / 2 Days Remote Remote Flexibility: Full remote may be considered for the right candidate Relocation: Available for qualified non-local candidates Employment Type: Direct Hire Overview Our client is seeking a Senior Kubernetes Engineer to design and build the software powering a next-generation GPU-accelerated compute platform supporting AI, machine learning, LLM, and HPC workloads. This is a software development role focused on Kubernetes , not a traditional DevOps, SRE, or Kubernetes administration position. The core focus is building Kubernetes-native software including custom operators, controllers, CRDs, APIs, schedulers, and internal platform services used to orchestrate large-scale GPU infrastructure. The ideal candidate is a strong developer who understands Kubernetes internals and has experience building software on top of Kubernetes, not simply deploying applications or maintaining clusters. Key Responsibilities Develop Kubernetes-native software using Go, Python, or similar languages. Build custom operators, controllers, CRDs, APIs, and platform services. Extend Kubernetes to support GPU-intensive AI/ML and HPC workloads. Develop automation for cluster provisioning, lifecycle management, scheduling, and infrastructure orchestration. Build GPU scheduling, allocation, workload placement, and resource-isolation capabilities. Integrate NVIDIA technologies including GPU Operator, device plugins, MIG, and DCGM. Develop internal tools and APIs for provisioning and managing GPU compute resources. Improve platform scalability, GPU utilization, workload performance, and reliability. Integrate Kubernetes with high-performance networking, storage, and bare-metal infrastructure. Build observability and automated remediation capabilities for distributed compute environments. Required Qualifications Strong software development experience with Go, Python, or another modern programming language. Hands-on experience building Kubernetes operators, controllers, CRDs, APIs, or similar Kubernetes-native software. Strong understanding of Kubernetes architecture, controllers, reconciliation, scheduling, RBAC, networking, and cluster lifecycle. Experience building platforms or distributed systems on Kubernetes. Experience with GPU infrastructure and NVIDIA technologies. Experience supporting AI/ML, LLM, HPC, or other compute-intensive workloads. Strong Linux and distributed systems knowledge. Experience with Terraform, Helm, Kustomize, Argo CD, Flux, or similar tooling. Ability to troubleshoot across Kubernetes, compute, networking, storage, GPU, and application layers. Preferred Experience NVIDIA GPU clusters. Slurm, Volcano, kube-scheduler extensions, or custom scheduling. CUDA, NCCL, PyTorch, or TensorFlow. InfiniBand, RDMA, RoCE, or other high-performance networking. Bare-metal Kubernetes. Internal developer platforms or self-service infrastructure. AI infrastructure, HPC, cloud infrastructure, or large-scale distributed systems. Ideal Candidate The ideal candidate is a software developer who builds Kubernetes-native systems . This person should be comfortable writing operators, controllers, APIs, schedulers, and automation that extend Kubernetes and manage complex GPU infrastructure. Candidates whose background is primarily DevOps, CI/CD, Terraform administration, application deployment, or Kubernetes operations without substantial software development experience are unlikely to be the right fit. Dallas-based candidates are preferred, but full remote may be considered for candidates with exceptional Kubernetes development and GPU infrastructure experience.

We are seeking 4 experienced Senior GCP Cloud DevOps Engineers (US) with deep expertise in Google Cloud Platform (GCP), Terraform, Infrastructure as Code (IaC), and DevOps practices. The ideal candidate will be responsible for designing, building, automating, and managing enterprise-scale GCP cloud infrastructure while ensuring security, scalability, reliability, and operational excellence. Responsibilities Design, develop, and maintain reusable Terraform modules for enterprise cloud environments. Implement Infrastructure as Code (IaC) best practices across development, testing, staging, and production environments. Provision and manage GCP infrastructure using Terraform and automation frameworks. Build complete cloud environments from scratch using GCP services and infrastructure automation. Design, deploy, and manage cloud-native solutions leveraging GCP services. Configure and maintain Cloud Run, BigQuery, Cloud Storage, Firestore, IAM, Secret Manager, and Load Balancing services. Develop and maintain CI/CD pipelines for infrastructure and application deployments. Experience in GCP-native data platforms (BigQuery, Dataflow, Pub/Sub, Cloud Storage, Cloud Composer Implement infrastructure versioning, automated code reviews, governance controls, and deployment strategies. Ensure platform reliability, scalability, high availability, and disaster recovery readiness. Configure and manage networking components including VPCs, Subnets, Firewall Rules, Private Connectivity, DNS, and SSL Certificates. Manage Identity and Access Management (IAM), Service Accounts, and security controls. Implement monitoring, alerting, logging, and observability solutions using Cloud Monitoring and related tools. Experience building APIs and data connectors (Python, Cloud Functions, Cloud Run) that serve downstream applications or AI/ML systems Proficiency with IaC (Terraform) and CI/CD (Cloud Build, GitHub Actions, or equivalent) for pipeline deployment Experience with GCP IAM, VPC networking, and container platforms (GKE, Cloud Run) Troubleshoot production issues and execute root cause analysis for critical incidents. Develop operational runbooks, architecture documentation, and support procedures. Collaborate with Data Engineering and AI/ML teams to build secure and scalable data and AI platforms. Support infrastructure required for Vertex AI Agent Engine, Vertex AI Search, Model Armor, and AI-driven workloads. Implement security, compliance, and governance standards across cloud environments.

We are seeking 4 experienced Senior GCP Cloud DevOps Engineers (US) with deep expertise in Google Cloud Platform (GCP), Terraform, Infrastructure as Code (IaC), and DevOps practices. The ideal candidate will be responsible for designing, building, automating, and managing enterprise-scale GCP cloud infrastructure while ensuring security, scalability, reliability, and operational excellence. Responsibilities Design, develop, and maintain reusable Terraform modules for enterprise cloud environments. Implement Infrastructure as Code (IaC) best practices across development, testing, staging, and production environments. Provision and manage GCP infrastructure using Terraform and automation frameworks. Build complete cloud environments from scratch using GCP services and infrastructure automation. Design, deploy, and manage cloud-native solutions leveraging GCP services. Configure and maintain Cloud Run, BigQuery, Cloud Storage, Firestore, IAM, Secret Manager, and Load Balancing services. Develop and maintain CI/CD pipelines for infrastructure and application deployments. Experience in GCP-native data platforms (BigQuery, Dataflow, Pub/Sub, Cloud Storage, Cloud Composer Implement infrastructure versioning, automated code reviews, governance controls, and deployment strategies. Ensure platform reliability, scalability, high availability, and disaster recovery readiness. Configure and manage networking components including VPCs, Subnets, Firewall Rules, Private Connectivity, DNS, and SSL Certificates. Manage Identity and Access Management (IAM), Service Accounts, and security controls. Implement monitoring, alerting, logging, and observability solutions using Cloud Monitoring and related tools. Experience building APIs and data connectors (Python, Cloud Functions, Cloud Run) that serve downstream applications or AI/ML systems Proficiency with IaC (Terraform) and CI/CD (Cloud Build, GitHub Actions, or equivalent) for pipeline deployment Experience with GCP IAM, VPC networking, and container platforms (GKE, Cloud Run) Troubleshoot production issues and execute root cause analysis for critical incidents. Develop operational runbooks, architecture documentation, and support procedures. Collaborate with Data Engineering and AI/ML teams to build secure and scalable data and AI platforms. Support infrastructure required for Vertex AI Agent Engine, Vertex AI Search, Model Armor, and AI-driven workloads. Implement security, compliance, and governance standards across cloud environments.

Blitzy is a Cambridge, MA based AI software development platform on a mission to revolutionize the software development life cycle by autonomously building custom software to unlock the next industrial revolution. We're transforming how enterprises build software, turning enterprise requirements into enterprise grade code with an agentic software development platform that can autonomously execute 80% of the quantum of software development work. We're backed by multiple tier 1 investors, and have proven success as founders of previous start-ups. Our Culture Who We Are Led by two pioneering co-founders we are one of the fastest growing companies in the U.S., creating our own category of enterprise autonomous software development. We automate thousands of hours of software development for our customers, which includes strong representation within the Fortune 500. How We Work We move Blitzy Fast: Time is both our company's and our clients' most precious asset. We move quickly and decisively to innovate internally and deliver exceptional software externally. Championship Mindset: We operate like a professional sports team. We win as a team by holding ourselves and each other to high standards, collaborating in-person, and remaining focused on the mission. Passion for Invention: We're pushing the frontier of what's possible, requiring constant innovation and iteration. We Work for the Customer: We focus on delivering outsized value to the customers we work with and expanding those relationships into deep, meaningful partnerships. About The Role As a DevOps Engineer at Blitzy, you will be a critical force behind the infrastructure powering our cutting-edge AI agents and enterprise software development platform. Based out of our Cambridge, MA headquarters, you'll architect and maintain the scalable, resilient systems that enable Blitzy to autonomously deliver production-ready software at unprecedented speed. This is a high-impact, hands-on role for an engineer who thrives in a fast-moving environment and takes deep ownership of the systems they build. Responsibilities Build, manage, and scale Kubernetes clusters supporting AI agent workloads and production application deployments. Design and implement robust CI/CD pipelines for both application services and AI-driven workflows. Automate infrastructure provisioning, scaling, and operations using Python and Terraform. Deploy and maintain applications via Helm charts, ensuring consistency across environments. Own the observability stack: alerting, distributed tracing, and monitoring for all production services and APIs. Build and maintain infrastructure for AI agent orchestration, enabling reliable and high-throughput agent execution. Partner closely with engineering teams to improve developer experience, deployment strategies, and operational tooling. Maintain and continuously improve the security, reliability, and cost-efficiency of our cloud environments. Qualifications 5+ years of DevOps or infrastructure engineering experience in production environments. Deep expertise in Kubernetes including deployment, scaling, networking, and troubleshooting. Strong Python proficiency for automation, scripting, and tooling. Hands-on experience with Helm for application package management. Proven track record designing and maintaining CI/CD pipelines. Experience with major cloud platforms (GCP, AWS, or, Azure). Proficiency with Terraform for Infrastructure as Code. Strong Linux administration skills and containerization expertise (Docker). Compensation: $160,000-$230,000 + Bonus +Equity Blitzy is an equal opportunity employer committed to building a diverse and inclusive team. We believe different perspectives make us stronger. Base salary ranges are determined by country, role, level, experience, and skills. The range displayed on each job posting reflects Blitzy's good faith determination of the minimum and maximum targets for new hire salaries across all locations. Individual pay is determined by related factors, including job skills, experience, and relevant education or training, which may impact a final offer. Your Talent Partner can share more about the specific salary range during the hiring process

Wer wir sind und was wir suchen Ob die Energiewende gelingt, entscheidet sich nicht allein an Technologien, sondern an Kosten, Märkten und politischen Weichenstellungen. Genau dazu arbeitet das Energy Lab des Dezernat Zukunft – und um unsere Arbeit weiter zu vertiefen, suchen wir Dich. Das Dezernat Zukunft ist ein überparteilicher Berliner Think Tank an der Schnittstelle von Politik, Verwaltung und Forschung. Rund 30 Personen verfolgen gemeinsam das Ziel, Geld-, Finanz- und Wirtschaftspolitik neu zu denken und verständlich zu vermitteln. Geleitet von den Werten Würde, Wohlstand, Demokratie und Nachhaltigkei t suchen wir zum nächstmöglichen Zeitpunkt – idealerweise ab dem 1. Januar – für unser Energy Lab eine Person als (Senior) Economist für Energiemärkte. In dieser Position konzipierst Du Analysen und Studien zu Energiemärkten – insbesondere zum Strommarkt – und führst sie eigenständig durch. Dabei betrachtest Du Energiekosten, Investitionsbedarfe, Gesamtsystemkosten sowie die Wechselwirkungen politischer Instrumente mit diesen Größen. Im Mittelpunkt stehen die Fragen, wie sich Energiepolitik mit Wettbewerbsfähigkeit, Nachhaltigkeit und Bezahlbarkeit zusammendenken lässt, wie Energiekosten strategisch und gezielt gesenkt werden können, und wie das regulatorische Umfeld so ausgestaltet werden kann, dass es den Erfolg der "zweiten Hälfte der Energiewende" und damit die Erreichung der Klimaneutralität ermöglicht. Deine Aufgaben Du analysierst Energiemärkte und -preise, einschließlich Systemkosten, und koordinierst dazu Forschungsprojekte . Dabei betrachtest Du auch fiskalpolitische Auswirkungen sowie Wechselwirkungen mit dem Stromnetzausbau. Du entwickelst konkrete Politikvorschläge, Analysen und Positionen zu den oben genannten Themen , in enger Zusammenarbeit mit Deinen Kolleg:innen im Energy Lab des Dezernat Zukunft sowie den weiteren Teams der Organisation. Außerdem organisierst Du Expert:innen-Gespräche und andere inhaltliche Veranstaltungen. Du interagierst aktiv mit Vertreter:innen von Parlamenten, Regierungen, Wissenschaft, Wirtschaft und Medien . Unsere Arbeit funktioniert nur dann, wenn wir mit diesen Gruppen im Austausch stehen, zuhören und zusammenarbeiten. Das bieten wir Eine Vergütung in Anlehnung an den Tarifvertrag des öffentlichen Dienstes (TVöD): Eingruppierung in Entgeltgruppe E 13 – abhängig von Deiner Erfahrung – inkl. Jahressonderzahlung und 30 Urlaubstagen. Aktive Unterstützung bei Deiner Weiterentwicklung – fachlich sowie in Bezug auf Kompetenzen, Netzwerke und Aufgaben. Einen Arbeitsplatz in Berlin-Mitte mit der Möglichkeit zum mobilen Arbeiten und gemeinsam vereinbarten Kernzeiten. Unbürokratische, verständnisvolle Regelungen bei kurzfristigen Care-Bedarfen; bezahlte Freistellung nach § 29 TVöD bei persönlichen Anlässen (z. B. kranke Kinder). Einen Zuschuss zum Deutschlandticket oder JobRad. Und nicht zuletzt: Ein dynamisches,motiviertes Team, gemeinsame Events (z. B. Berg- oder Paddel-Ausflüge) und Arbeit, die zählt. Dein Profil Du teilst unsere Werte und Ziele , begeisterst Dich für Energie- und Klimapolitik und brennst dafür, dass die Transformation gelingt. Du hast einen Master-Abschluss in einem relevanten Fachgebiet sowie mindestens zwei Jahre einschlägige Berufserfahrung. Du kennst Dich in Energiemärkten – insbesondere im Strommarkt – aus, verstehst politische Instrumente und erkennst, welche Zahlen für politische Entscheidungen und ökonomische Weichenstellungen wirklich zählen. Du konzipierst und erstellst eigene Analysen – quantitativ wie textlich – selbstständig und gründlich. Du hast bereits erfolgreich Forschungsprojekte umgesetzt und Ergebnisse sowie politische Handlungsempfehlungen prägnant kommuniziert. Du bist Dir bewusst, dass unsere Analysen und Vorschläge in der Öffentlichkeit intensiv geprüft werden, und arbeitest entsprechend gewissenhaft und bist bereit, als Eigentümer:in für Deine Projekte einzustehen. Du kommunizierst sehr gut in deutscher und englischer Sprache und verfasst in beiden Sprachen anspruchsvolle, gut verständliche Texte. Du hast fortgeschrittene Kenntnisse in der praktischen Anwendung gängiger KI-Programme. Du willst den Dingen auf den Grund gehen und jeden Tag dazulernen. Noch wichtiger als mitgebrachtes Wissen ist für uns die Fähigkeit, es zu erweitern und Meinungen zu ändern. Du arbeitest gern im Team, hörst zu und unterstützt und förderst Deine Kolleg:innen. Die perfekte Kandidat:in erfüllt nicht immer jede Anforderung. Wenn Du glaubst, dass Du zu uns passt – bewirb Dich gern trotzdem und sag uns, warum. Beschäftigungsbeginn & Vertragsbedingungen Beginn: Von uns aus so schnell wie möglich. Im Anschluss an das Bewerbungsverfahren rechnen wir mit einem Start im Januar 2027. Das genaue Startdatum ist verhandelbar. Umfang: 32–39 Stunden/Woche (flexibel je nach Deiner Verfügbarkeit). Befristung: zunächst 1 Jahr (Entfristung nach zwei Jahren angestrebt). Bewerbungsverfahren Bitte bewirb Dich online mit Lebenslauf und einem kurzen Anschreiben, das Deine Eignung entlang der oben genannten Kriterien zeigt. Bitte teile uns auch mit, wie Du auf die Stelle aufmerksam geworden bist und welche Wochenarbeitszeit Du bevorzugen würdest. Bewerbungsfrist: 08. November 2026 Das Bewerbungsverfahren besteht aus drei Runden: im ersten Schritt einem Assessment-Test, der aus einer schriftlichen Aufgabe besteht und ca. 1-2 Stunden Arbeitszeit beansprucht; anschließend ein längeres Gespräch bei uns vor Ort im Büro und einem abschließenden Gespräch mit unserem Head of Energy Lab – Janek Steitz. Wir schätzen Vielfalt und möchten die Diversität unseres Teams fördern. Bewerbungen sind willkommen – unabhängig von Geschlecht, Nationalität, kultureller oder sozialer Herkunft, Religion, Weltanschauung, Alter sowie sexueller Orientierung und Identität. Kontakt / Rückfragen Du findest die Rolle spannend, weißt aber nicht, ob sie etwas für Dich ist oder ob Du gut ins Dezernat und zu den Anforderungen passen würdest? Sprich mit uns! Hierfür kannst Du Felix Heilmann – Programmleitung Energiepolitik – direkt per E-Mail kontaktieren Find Jobs in Germany on Arbeitnow

We are looking for a Cloud Engineer with 8+ years of experience in a Microsoft/Azure environment. You will be involved in a number of greenfield projects that will help our client to continue to grow. This is a hybrid role and will require you to be onsite 3-4 days/week either in El Segundo or Century City (your choice choice). Cloud Infrastructure & Architecture: Design, build, and manage secure, scalable Azure infrastructure supporting Microsoft 365, Entra ID, Intune, networking, and data platforms such as Databricks, Microsoft Fabric, SQL, and cloud storage. Requires hands-on implementation, infrastructure-as-code, and production support experience. AI & Automation: Evaluate and deploy AI tools for IT operations, monitoring, reporting, and incident triage. Build automation using scripting languages like PowerShell, Python, and Microsoft Graph API to streamline onboarding, provisioning, and compliance workflows, with measurable goals for reducing manual workload. Networking, Security & Endpoints: Own multi-site network architecture, including firewalls, switches, VLANs, wireless, and VPN. Manage identity and access controls, Conditional Access, MFA, DLP, Intune device compliance, patching, and audit readiness in partnership with security and compliance teams. Technical Leadership & Requirements: Provision and secure cloud resources for data and analytics workloads, integrate systems, establish infrastructure standards, and drive AI adoption and modernization initiatives. Requires 8+ years of progressive IT/cloud infrastructure experience, strong Azure, scripting, automation, networking, and security experience.