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About us Distribusion is the world's leading ground transportation marketplace and gives travellers seamless access to ground transportation online, from search to ticket purchase. We have built a cutting-edge B2B technology platform that connects bus, rail, and ferry operators in 70+ countries with the biggest online retailers, including Google Maps and Booking.com . We are shaping the future of travel and building the largest global network of transport providers and retailers. Having grown 10x in the past year, we are one of the fastest-growing startups in travel. Backed by four leading VCs (TQ Ventures, Creandum, Northzone, and Lightrock), and now, following our recent $80 m Series C, we are ready to push beyond. The opportunity We're looking for an experienced Senior Product Engineer to own and evolve our core systems end-to-end. You'll join our engineering team and work closely with product, operations, and data stakeholders across the business. Your work will power high-scale systems used by both internal operators and external users, directly impacting large volumes of real-world activity. What you will do: Build a customer-facing transit schedule system that handles hundreds of thousands of bus departures daily. The system serves hundreds of thousands of travellers and is used by hundreds of operators, including operations teams, revenue managers, and planners. Build a ticket booking backend that allocates bus seats to travellers. Design smart allocation strategies to maximise seat usage across stops, and handle complex reallocation scenarios such as vehicle swaps, bus merges, and reinforcements. Build a revenue management system that dynamically prices seats based on time to departure, demand, and remaining capacity. Support carrier-controlled pricing, A/B testing, and automated pricing algorithms. Own and evolve the data transformation layer that powers schedules, bookings, and revenue. Design robust models, incremental pipelines, and clear semantic definitions grounded in real operational data. Raise data quality through strong testing, contracts, freshness checks, and monitoring so issues are detected automatically, not by stakeholders. Improve development workflows: CI, PR reviews, local testing, and release processes that keep iteration fast and friction low. Partner with stakeholders across operations, planning, and revenue. Turn ambiguous problems into clear requirements, challenge assumptions, and align solutions with real-world constraints. Drive improvements in tooling and practices, including AI-assisted development, better testing approaches, and scalable self-service capabilities. Workplace: Berlin & Hybrid: HQ office in Berlin, where the team often meets. Remote: We are a remote-first company with teams located around the Globe. Who you are: Several years of experience building and operating backend services in Python, with ownership across the full lifecycle: design, implementation, deployment, monitoring, and maintenance. Demonstrated an ownership mindset with the ability to independently drive projects, manage competing priorities, and contribute effectively across multiple systems and initiatives. Strong understanding of distributed systems and data-intensive applications. Experience designing systems that handle large volumes of data and traffic, with practical knowledge of consistency models, state machines, asynchronous workflows, and event-driven architectures. Deep database expertise: transaction management, ACID guarantees, indexing strategies, query optimisation, locking, partitioning, and sharding. You understand how database design impacts system performance and reliability at scale. Experience building reliable distributed systems using patterns such as outbox, idempotency, retries, and eventual consistency. Comfortable reasoning about failure modes and system behaviour under load. Strong software engineering fundamentals: API design, testing strategies, observability, debugging, performance optimisation, and maintaining production systems. Able to translate ambiguous business requirements into pragmatic technical solutions, while clearly communicating architectural trade-offs, constraints, and implementation options to both technical and non-technical stakeholders. Comfortable with challenging requirements, proposing alternative approaches, and identifying opportunities to reduce complexity while maximising business impact. Product-minded engineer who contributes beyond implementation. You actively shape technical direction, influence product decisions, and help define the future evolution of the platform. Fluent in English, both verbal and written. Comfortable collaborating in a distributed team across multiple time zones, with a preference for clear written communication and asynchronous workflows. Experience with cloud infrastructure, messaging systems, distributed databases, and high-availability architectures is highly desirable. What you can expect: Make a global impact. Help shape how millions of people discover and book ground transportation worldwide. Own your work. Take responsibility from day one and see the direct impact of your contributions. Build with the best tools. We move fast, continuously evolve our tech stack, and invest in modern, efficient solutions. Work with industry leaders. Our partners include Booking.com , Google Maps, Amtrak, Deutsche Bahn, Renfe, and SNCF. Grow with exceptional people. Join an international team that will challenge, support, and inspire you every day. Work your way. Enjoy flexible and remote-friendly working options, relocation opportunities, and plenty of room to grow. Our hiring team for this role: You can contact your Talent Partner and point of contact, Aulia , at ( Do you want to work on a product that is used by millions of people daily with a high load, availability, scalability and the most advanced technology? Come join us! Find Jobs in Germany on Arbeitnow

About us Distribusion is the world's leading ground transportation marketplace and gives travelers seamless access to ground transportation online, from search to ticket purchase. We have built a cutting-edge B2B technology platform that connects bus, rail, and ferry operators in 70+ countries with the biggest online retailers, including Google Maps and Booking.com . We are shaping the future of travel and building the largest global network of transport providers and retailers. Having grown 10x in the past year, we are one of the fastest-growing startups in travel. Backed by four leading VCs (TQ Ventures, Creandum, Northzone, and Lightrock), and now, following our recent $80 m Series C, we are ready to push beyond. The opportunity We are looking for a Senior QA Engineer that will take an active role in shaping our QA strategy. You will also be responsible for the improvement of delivered features to production, reducing the number of user complaints and ensuring that the product delivered has top-notch quality. One of the main goals of the team is preventing bugs that have the potential to impact the production environment and affect sales / crucial functionality times. What you will do: Improvement of delivered features to production, reducing the number of user complaints and ensuring that the product delivered has top-notch quality Development of an automated test framework from scratch Integration tests, end-to-end tests, functional tests, regression tests Preventing bugs that have the potential to impact the production environment, affect sales and crucial functionality Microservices and API use cases (Postman, SOAP, REST) Creation of test case scenarios for manual and automated tests Development and execution of manual test case scenarios Independent investigation and proposal of new methods for improving quality assurance processes Reporting and documentation of all discovered errors/bugs Close collaboration with cross-functional teams to deliver tasks on time and to the expected quality. Workplace: Berlin & Hybrid We are aiming to hire a professional based in Germany or Europe. We are a remote-first company with colleagues based around the Globe. Who you are: Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. At least 5 years of experience in software quality assurance and test automation, including developing automated test scripts using JavaScript/TypeScript, Python, or Ruby. Experience with test automation frameworks such as Cypress, Selenium, or similar tools (experience with JEST is a plus). Strong understanding of software development lifecycles, QA methodologies, testing processes, and test design principles. Experience designing test strategies and test plans across multiple teams or products, with the ability to establish scalable QA processes. Proven experience integrating automated testing into CI/CD pipelines. Strong experience testing APIs and integrations using tools such as Postman, REST APIs, SOAP, and Swagger/OpenAPI. Experience testing functional, integration, and end-to-end scenarios across web applications. Experience with mobile testing (e.g. Appium) is a plus. Understanding of data representation technologies such as JSON and XML. Good knowledge of test design and testing theory. Experience working with relational databases, preferably PostgreSQL, and confidence in validating data at the database level. Ability to analyse application logs and service metrics and troubleshoot issues across distributed systems. Familiarity with cloud platforms, preferably Google Cloud Platform (GCP), is an advantage. Experience working in Agile environments and with tools such as Jira. Strong communication and collaboration skills, with the ability to work effectively across engineering teams and stakeholders while managing priorities independently. Excellent verbal and written communication skills in English. What you can expect: Make a global impact. Help shape how millions of people discover and book ground transportation worldwide. Own your work. Take responsibility from day one and see the direct impact of your contributions. Build with the best AI assistance models available. Work with industry leaders. Our partners include Booking.com , Google Maps, Amtrak, Deutsche Bahn, Renfe, and SNCF. Grow with exceptional people. Join an international team that will challenge, support, and inspire you every day. Our hiring team for this role: Your Talent Partner and point of contact is Lorena Rebenciuc , and the Hiring Manager (HM) is Artem Torlak. For any queries, please reach out to your Talent Partner at ( ). Do you want to work on a product that is used by millions of people daily with a high load, availability, scalability and the most advanced technology? Come join us! Find Jobs in Germany on Arbeitnow

Our Mission Aleph Alpha is one of the few companies in Europe doing serious foundation model pre-training. Our customers — in finance, manufacturing, and public administration — need models that understand German, meet European regulatory requirements, and work reliably in high-stakes settings. We're building that in Heidelberg. We are hiring a Senior AI Researcher to join our Pre-training team and to advance the architecture and training of our next generation of foundation models. If you are excited about designing inference-efficient architectures, optimising training recipes that scale reliably, and training models on a large scale cluster (thousands of NVIDIA Blackwell GPUs), we would love to hear from you. Team Culture We foster a culture built on ownership, autonomy, and empowerment. Teams and individual contributors are trusted to take responsibility for their work and drive meaningful impact. We maintain a flat organisational structure with efficient, supportive management that enables quick decision-making, open communication, and a strong sense of shared purpose. We collaborate closely on complex technical problems, working in pairs or using mob programming to resolve challenging issues. About the Role As a Senior AI Researcher in Pre-training (f/m/d) , you will own the critical technical levers that determine the success of our next-generation models: architecture, optimization, stability, and scaling. Working at the high-leverage intersection of research and engineering, you will translate mathematical reasoning and empirical observations into principled training decisions - from small-scale proxy experiments to multi-thousand-GPU runs. We are looking for an expert who can combine rigorous experimental design with high-quality production code, directly influencing model quality, run reliability, and the efficiency of the models we ship. Your Responsibilities Recipe & Architecture Optimization: Own core elements of the training recipe (optimizers, schedules, initialization) and design PyTorch-based architectural improvements to maximize convergence, stability, and training efficiency. Scaling Strategy & Predictability: Develop hyperparameter scaling laws and scale-up methodologies, using small-scale proxy experiments to reliably predict multi-thousand-GPU behavior and de-risk major training decisions. Stability, Diagnostics & Debugging: Investigate complex convergence issues (loss spikes, divergence) and resolve hard-to-reproduce distributed system failures like communication bottlenecks, race conditions, and synchronization errors. System-Model Co-Design: Partner with Compute Performance, Data, Evaluation, and Post-Training teams to align the model lifecycle with hardware constraints, memory bandwidth, and communication topologies. Core Qualifications You are proficient in Python and deeply familiar with PyTorch-based training workflows. You have a strong track record in machine learning research and software engineering, demonstrated through shipped models, impactful open-source contributions, or published research. You have a strong mathematical foundation and are comfortable reasoning formally about optimisation, scaling behaviour, and training dynamics. You deeply understand transformer training dynamics, optimisation, and the behaviour of large distributed training jobs. You can design rigorous experiments, reason clearly from noisy results, and translate empirical observations into robust training decisions. Hands-on experience pre-training large models (e.g., 7B+ parameters) on substantial infrastructure (e.g., 100+ GPU clusters). You apply strong software engineering practices, including writing maintainable, well-tested code and supporting reproducible experimentation workflows. You are able to implement complex model architectures efficiently and reliably and to debug complex issues across model code, training dynamics, and distributed systems. You collaborate effectively within a research and engineering team and communicate clearly about your work across Pre-training and the broader AAR/AA organization. You are able to work in Germany and collaborate regularly on site in Heidelberg as part of the Pre-training team. Preferred Qualifications Large-Scale Training: Hands-on experience training LLMs or multimodal models on large GPU clusters using distributed frameworks (e.g., Megatron-LM, DeepSpeed, torchtitan). Predictive Scaling: Familiarity with scaling laws, hyperparameter transfer, or methods for predicting large-scale training behavior from smaller proxy runs. Stability & Performance: Experience profiling distributed jobs and diagnosing training anomalies like loss spikes, numerical instability, or optimizer pathologies. Advanced Architectures: Exposure to sparse training approaches (e.g., Mixture-of-Experts) and an understanding of their routing and systems trade-offs. Track Record of Impact: Demonstrated research excellence through top-tier publications (NeurIPS, ICML, ICLR), impactful open-source contributions, or significant shipped technical work. Systems Curiosity: Low-level kernel optimization is not required, but we highly value a strong curiosity about the hardware and systems constraints that shape scale. What we offer Become part of an AI revolution! 30 days of paid vacation Access to a variety of fitness & wellness offerings via Wellhub Mental health support through nilo.health Substantially subsidized company pension plan for your future security Subsidized Germany-wide transportation ticket Budget for additional technical equipment Flexible working hours for better work-life balance and hybrid working model JobRad® Bike Lease Find more English Speaking Jobs in Germany on Arbeitnow

Our Mission Aleph Alpha is one of the few companies in Europe doing serious foundation model pre- and post-training. We're building models that have general-purpose capabilities, and specifically excel at addressing the needs of our customers. We're looking for exceptional Software Engineers to join our model training team. Most of the team is based in Heidelberg . Team Culture At Aleph Alpha, we foster a culture built on ownership, autonomy, and empowerment. Teams and individual contributors are trusted to take responsibility for their work and drive meaningful impact. We maintain a flat organizational structure with efficient, supportive management that enables quick decision-making, open communication, and a strong sense of shared purpose. We believe a strong engineering culture is the key to model training success. We like Extreme Programming and favor trunk-based development. We often mob-program, which keeps us aligned and means we always learn from each other. About the Role As a Senior AI R&D Engineer in Model Training (f/m/d), you will join our model training team in Heidelberg or Berlin. Most of the team is based in Heidelberg. The model training team is training models, but more importantly in order to do so building and improving our model training pipeline. You will work across our full stack. Some weeks you might be optimizing how training loads are scheduled on our cluster and making the pipeline more robust and performant so we can iterate faster. Other weeks, you will be enabling large-scale code execution for reinforcement learning. And at other times, you might dig deep into our evaluation codebase to lift inference throughput on evals. No two days are the same. Things move fast, and your ability to focus and prioritize is what lets you unblock the team day-to-day while designing the high-quality tooling and infrastructure that speeds us up long-term. We're still building out our training pipeline and infrastructure. Some pieces exist, some do not, and you will have real influence on what gets built and how. Your work directly shapes how quickly we can experiment and improve our models. Identifying issues and taking initiative is what drives our day-to-day work. Working mode, design decisions, priorities are all done in your team together with your team mates. The strongest teams often use highly collaborative techniques, like mob or pair programming. Due to the highly collaborative nature of our work you are expected to be on-site at least two days a week. If you are in Berlin, you should expect to travel around every second month for a few days to Heidelberg. We are specifically looking to strengthen the Software Engineering in the teams which are research heavy. Major points include improving the maintainability of our code through tests and design & architecture changes. Requirements At its core, you need to be able to dive into a codebase, change the behavior as necessary, and after the change the code should be better tested and easier to understand than before. As such we look for candidates for an understanding of how to design for low coupling and high cohesion paired with the ability to incrementally refactor. Experience with the following technologies is likely to be helpful: Test Driven Development (TDD) Trunk based development Continuous integration Domain Driven Design Nice-to-haves Most of our code is in Python, there is also the occasional Rust codebase. Large parts of our training pipeline are built on top of Kubernetes. We do not hire for skills in a particular technology or language, but rather ability to learn and mindset, yet experience with these technologies is a plus. What we offer Become part of an AI revolution! 30 days of paid vacation Access to a variety of fitness & wellness offerings via Wellhub Mental health support through nilo.health Substantially subsidized company pension plan for your future security Subsidized Germany-wide transportation ticket Budget for additional technical equipment Flexible working hours for better work-life balance and hybrid working model JobRad® Bike Lease Find more English Speaking Jobs in Germany on Arbeitnow

Who We Are Hi, we're DuckDuckGo, the online protection company and remote-first team of 300+ on a mission to raise the standard of trust online. Founded in 2008 and profitable since 2014, annual revenue now exceeds $100m USD and millions use our browser on on Mac , Windows , iOS , and Android , our search engine , and the DuckDuckGo subscription . We also offer private, useful, and optional AI, including Duck.ai , which lets you chat privately with ChatGPT, Claude, and other AIs, all in one place. Our culture of trust, inclusivity, and empowered project management underpins everything we do, where each team member takes full ownership of their projects, from scoping and execution to postmortem. If you're seeking end-to-end ownership of your work, you've come to the right place! Your Team and Role Working on the Data Science Functional Team, you'll drive product and business impact through statistical modeling, experiment design, Bayesian marketing analysis, and classifier implementation across our search engine, instant answers, AI, and revenue optimization, and work on related projects. Recent projects include: Defining core growth metrics for our products and building the infrastructure to monitor trends and anomalies Measuring the impact of major marketing campaigns for Duck.ai , translating full-funnel data into actionable decisions Building monitoring pipelines to detect unexpected shifts in search traffic patterns faster and more reliably Expanding evaluation datasets for page context understanding across complex scenarios like multi-tab browsing and content reattachment Improving the trigger systems that determine when AI-assisted answers surface in DuckDuckGo Search, balancing quality and our privacy-first approach Our data meets rigorous privacy standards and is necessarily sparse, so you'll need to think creatively to surface actionable insights in an evidence-first culture where quantitative rigor is the baseline, not the exception. About You You have 7+ years of experience in Data Science and a track record of leading high-complexity projects from scoping to production with minimal direction. You can do 2 or more of the following: Deploy and iterate on ML in production environments Develop and deploy NLP solutions Apply knowledge of LLMs including fine-tuning, LLM-as-judge, and AI-assisted development Conduct marketing campaign analysis using Bayesian methods You write production-grade code in Python or a comparable high-level language. You have advanced SQL and query optimization skills, familiarity with columnar databases like BigQuery, Clickhouse, Redshift, or Druid; experience with a BI tool like Tableau or PowerBI is a plus. You can design, implement, and analyze experiments across product surfaces, and are comfortable deriving insights from sparse or privacy-constrained data. You collaborate effectively with product teams and contribute to overall team throughput. Compensation $178,500 USD annually and stock options. Compensation is transparent across the organization, and all team members within the same professional level and global region receive the same compensation. Eligibility for company-sponsored health benefits is limited to team members based in the United States. This program does not extend to team members located in other countries, such as Canada or the UK. Our Team Member Support Guide explains how we prioritize your wellbeing including paid parental leave, office setup, and co-working allowances. Hiring Process Hiring works best when it's a two-way street. Learn how we help you get to know DuckDuckGo, envision your future role here, and find out more about how we hire . Diversity, Equity, and Inclusion DuckDuckGo provides equal work opportunities to all team members and applicants , and it prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws. We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to Please note that: You'll be required to attend meetings on camera via video conferencing Expect to travel at least two times a year: once for our all-hands meetup and again for a team retreat (each around 4-5 days). While extenuating circumstances may impact attendance, everyone is strongly encouraged to attend. While we offer a flexible work arrangement with no core hours, expect an average full-time commitment of 40 hours per week. A successful candidate must pass a background check as a condition of joining the team. By applying for this role, you confirm that all information submitted is accurate and complete. You further acknowledge that providing false or fraudulent information during the application process is cause for denial of an offer, revocation of any existing offer, or other adverse action, up to and including termination after the start of your commencement of work. Disclosure Statement: Use of AI in Hiring Process As part of our commitment to enhancing our recruitment process, we utilize artificial intelligence (AI) technology to assist in reviewing and summarizing job applications and test projects, including those tools integrated into our recruitment vendor platforms. We use AI to flag potentially fraudulent applications, analyze and summarize applicants' experience, interviews, and project performance, and help streamline our selection process. Key Principles: Data Privacy: All information provided in your application will be handled in accordance with our Recruiting Privacy Policy . We ensure that your personal information is protected and used solely for recruitment purposes. Human Oversight and Accountability: The AI technology is designed to support our hiring team by providing insights and summaries of applications and evaluations of test projects against scoring rubrics. All final evaluations and hiring decisions, however, will be made by our hiring team, who will consider the AI's input alongside other factors. Transparency: We believe in transparency regarding our hiring practices. If you have any questions about how AI is used in our recruitment process, please feel free to reach out to us. By submitting your application, you acknowledge and consent to the use of AI technology in our review process. If you would like to request an alternative selection process, please contact us as at #LI-DNI Compensation: $178.5K • Offers Equity Annual Compensation • Annual Compensation $178.5K • Offers Equity Find Jobs in Switzerland on Arbeitnow

Who We Are Hi, we're DuckDuckGo, the online protection company and remote-first team of 300+ on a mission to raise the standard of trust online. Founded in 2008 and profitable since 2014, annual revenue now exceeds $100m USD and millions use our browser on on Mac , Windows , iOS , and Android , our search engine , and the DuckDuckGo subscription . We also offer private, useful, and optional AI, including Duck.ai , which lets you chat privately with ChatGPT, Claude, and other AIs, all in one place. Our culture of trust, inclusivity, and empowered project management underpins everything we do, where each team member takes full ownership of their projects, from scoping and execution to postmortem. If you're seeking end-to-end ownership of your work, you've come to the right place! Your Team and Role Working on the Data Science Functional Team, you'll drive product and business impact through statistical modeling, experiment design, Bayesian marketing analysis, and classifier implementation across our search engine, instant answers, AI, and revenue optimization, and work on related projects. Recent projects include: Defining core growth metrics for our products and building the infrastructure to monitor trends and anomalies Measuring the impact of major marketing campaigns for Duck.ai , translating full-funnel data into actionable decisions Building monitoring pipelines to detect unexpected shifts in search traffic patterns faster and more reliably Expanding evaluation datasets for page context understanding across complex scenarios like multi-tab browsing and content reattachment Improving the trigger systems that determine when AI-assisted answers surface in DuckDuckGo Search, balancing quality and our privacy-first approach Our data meets rigorous privacy standards and is necessarily sparse, so you'll need to think creatively to surface actionable insights in an evidence-first culture where quantitative rigor is the baseline, not the exception. About You You have 7+ years of experience in Data Science and a track record of leading high-complexity projects from scoping to production with minimal direction. You can do 2 or more of the following: Deploy and iterate on ML in production environments Develop and deploy NLP solutions Apply knowledge of LLMs including fine-tuning, LLM-as-judge, and AI-assisted development Conduct marketing campaign analysis using Bayesian methods You write production-grade code in Python or a comparable high-level language. You have advanced SQL and query optimization skills, familiarity with columnar databases like BigQuery, Clickhouse, Redshift, or Druid; experience with a BI tool like Tableau or PowerBI is a plus. You can design, implement, and analyze experiments across product surfaces, and are comfortable deriving insights from sparse or privacy-constrained data. You collaborate effectively with product teams and contribute to overall team throughput. Compensation $178,500 USD annually and stock options. Compensation is transparent across the organization, and all team members within the same professional level and global region receive the same compensation. Eligibility for company-sponsored health benefits is limited to team members based in the United States. This program does not extend to team members located in other countries, such as Canada or the UK. Our Team Member Support Guide explains how we prioritize your wellbeing including paid parental leave, office setup, and co-working allowances. Hiring Process Hiring works best when it's a two-way street. Learn how we help you get to know DuckDuckGo, envision your future role here, and find out more about how we hire . Diversity, Equity, and Inclusion DuckDuckGo provides equal work opportunities to all team members and applicants , and it prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws. We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to Please note that: You'll be required to attend meetings on camera via video conferencing Expect to travel at least two times a year: once for our all-hands meetup and again for a team retreat (each around 4-5 days). While extenuating circumstances may impact attendance, everyone is strongly encouraged to attend. While we offer a flexible work arrangement with no core hours, expect an average full-time commitment of 40 hours per week. A successful candidate must pass a background check as a condition of joining the team. By applying for this role, you confirm that all information submitted is accurate and complete. You further acknowledge that providing false or fraudulent information during the application process is cause for denial of an offer, revocation of any existing offer, or other adverse action, up to and including termination after the start of your commencement of work. Disclosure Statement: Use of AI in Hiring Process As part of our commitment to enhancing our recruitment process, we utilize artificial intelligence (AI) technology to assist in reviewing and summarizing job applications and test projects, including those tools integrated into our recruitment vendor platforms. We use AI to flag potentially fraudulent applications, analyze and summarize applicants' experience, interviews, and project performance, and help streamline our selection process. Key Principles: Data Privacy: All information provided in your application will be handled in accordance with our Recruiting Privacy Policy . We ensure that your personal information is protected and used solely for recruitment purposes. Human Oversight and Accountability: The AI technology is designed to support our hiring team by providing insights and summaries of applications and evaluations of test projects against scoring rubrics. All final evaluations and hiring decisions, however, will be made by our hiring team, who will consider the AI's input alongside other factors. Transparency: We believe in transparency regarding our hiring practices. If you have any questions about how AI is used in our recruitment process, please feel free to reach out to us. By submitting your application, you acknowledge and consent to the use of AI technology in our review process. If you would like to request an alternative selection process, please contact us as at #LI-DNI Compensation: $178.5K • Offers Equity Annual Compensation • Annual Compensation $178.5K • Offers Equity Find Jobs in Germany on Arbeitnow

Job Description Job Description Remarcable is seeking a Senior DevOps Engineer to take ownership of our cloud infrastructure, CI/CD systems, system reliability, observability, and scalability. The ideal candidate brings strong DevOps fundamentals paired with solid software development skills, enabling them to build clean, maintainable automation and internal tooling. You are comfortable operating with autonomy, making architectural decisions, and elevating the quality and resilience of our delivery and operational workflows. Key Responsibilities ? Design, implement, and own CI/CD pipelines across multiple services to streamline software development and deployment. ? Maintain, optimize, and architect cloud infrastructure (AWS, Azure) to ensure scalability, security, reliability, and cost-effectiveness. ? Automate infrastructure provisioning, monitoring, and management using Infrastructure as Code (Terraform, Ansible, etc.) with modular, reusable patterns. ? Monitor and improve system performance, troubleshoot production issues, and ensure high availability and reliability across environments. ? Collaborate with software engineers to enhance deployment strategies and build internal tooling that improves development workflows. ? Implement security best practices across infrastructure, networking, identity, and access. ? Own or support security and compliance requirements, including SOC 2 controls, documentation, and evidence collection. ? Manage and enhance containerization and orchestration tools (experience with any modern orchestration platform; ECS, Kubernetes, or similar). ? Optimize logging, monitoring, and alerting systems (ELK stack, Datadog, etc.) to improve visibility and accelerate incident response. ? Build and maintain observability tooling, including metrics, logging, and tracing (OpenTelemetry experience is a strong plus). ? Optimize cloud resource usage and implement cost-efficient infrastructure practices. ? Stay current with the latest DevOps best practices, tools, and industry standards. Who You Are ? 6-8+ years of experience in DevOps, Site Reliability Engineering (SRE), or Infrastructure Engineering. ? Strong proficiency in cloud platforms (AWS required; Azure/GCP a plus) and cloud-native architectures. ? Experience designing CI/CD pipelines and deployment workflows end-to-end. ? Proficiency with Infrastructure as Code tools (Terraform preferred; CloudFormation or Ansible also welcome). ? Strong software development skills, with the ability to write clean, maintainable code in a modern programming language. ? Hands-on experience with containerization and orchestration (experience with any major platform; ECS, Kubernetes, or similar). ? Strong understanding of security best practices, IAM, networking, system administration, and distributed systems. ? Experience supporting or contributing to security and compliance programs, ideally SOC 2 or similar. ? Proficiency with monitoring and observability tooling (ELK, Datadog, Prometheus, OpenTelemetry, etc.). ? Strong understanding of cloud cost optimization strategies. ? Comfortable operating autonomously in an agile, fast-paced startup environment with a high degree of ownership. Nice-to-Have Skills ? Development experience with Django or Python-based web frameworks. ? Hands-on experience with Kubernetes. ? Experience with OpenTelemetry or similar distributed tracing frameworks. ? Experience supporting SOC 2 or other compliance programs. ? Exposure to data-intensive workloads or modern distributed system patterns. About Remarcable, Inc. Remarcable is a Series A-funded SaaS company revol

Job Description Job Description Ready to make an impact as a Full Stack Software Engineer for an innovative SaaS startup? At Remarcable , we're not just building software-we're transforming how contractors and distributors work together in the construction industry. We're looking for a resourceful and curious Full Stack Software Engineer who loves solving problems, learning quickly, and shipping code that matters. This is a chance to join a fast-growing SaaS startup where your contributions won't get lost in the shuffle. You'll have ownership over features, collaborate directly with customers, and help shape the product that's redefining procurement and operations for an underserved industry. If you thrive in a collaborative environment, enjoy rolling up your sleeves, and are excited to see your work in the hands of real users-this role is for you. What You'll Do Build and launch new product features based on customer needs. Hunt down and fix bugs that stand in the way of a seamless user experience. Troubleshoot and resolve real-world customer issues. Participate in code reviews to maintain quality and share knowledge. Integrate systems and APIs that expand product capabilities. Document your work so your team can learn, maintain, and build on it. Continuously learn and grow-with mentorship, collaboration, and exposure to new technologies. Who You Are 2+ years of experience with Python + Django or similar 2+ years working with REST APIs Solid knowledge of SQL databases. SaaS experience (or start-up experience) Experience with web technologies and full stack development. Familiar with Git & Docker (bonus if you've worked in a hybrid/remote environment). Understanding of networking basics A problem-solver with a customer-first mindset. Someone who takes ownership of their work and thrives in a collaborative startup team. Why Join Remarcable? Remarcable is a Series A SaaS company revolutionizing how electrical contractors and distributors do business. Founded by people who know the industry inside and out, our platform streamlines procurement and tool management-bringing efficiency, visibility, and better communication to a market overdue for change. Impact : Your work directly shapes the future of our platform. Learning & Growth : Work alongside experienced engineers and industry experts. Team Culture : Collaborative, fast-paced, and focused on solving real customer problems. Mission-Driven : We're helping contractors save time, reduce friction, and modernize their operations. Our Mission To advance the adoption of technology in the construction industry by delivering better efficiency, visibility, and communication to our customers. Full-time | Vancouver - 333 Seymour Street \nCompany Description At Remarcable, we're building the operating system for contractors and distributors-solving pain points that have plagued the construction industry for decades. Company Description At Remarcable, we're building the operating system for contractors and distributors-solving pain points that have plagued the construction industry for decades.

Als IT-Dienstleister treiben wir die Digitalisierung des öffentlichen Sektors voran und schaffen echten Mehrwert für Millionen Menschen in Deutschland. Wir können vieles richtig gut, aber eben noch nicht alles. Darum suchen wir immer wieder neue Kolleg:innen, die mit ihren Ideen, ihrem Können und Engagement etwas bewegen wollen. Fühlst du dich angesprochen? Dann gestalte Deine Welt zum Besseren und werde Teil unseres Customer Clusters Finance. DEINE MISSION Als ( Senior) Oracle Data Warehouse / Business-Intelligence-Developer (m/w/d) gestaltest du leistungsfähige BI-Lösungen, von der Datenmodellierung nach Data-Vault-Prinzipien über die Integration mit ODI bis zur Bereitstellung von Analysen mit OBIEE oder Oracle Analytics Server (OAS). Dabei bringst du deine Expertise in Softwarearchitektur sowie in modernen BI-spezifischen Analysemethoden ein, um fachliche Anforderungen in stabile, aussagekräftige und zukunftsfähige Datenlösungen zu übersetzen. Deine Aufgaben: Anforderungsanalyse und Spezifikation fachlicher und technischer Anforderungen im BI- und Data-Warehouse-Umfeld Softwareentwurf und Datenmodellierung nach Data-Vault-Prinzipien Softwareimplementierung von Integrationsstrecken mit Oracle Data Integrator (ODI) Entwicklung und Bereitstellung von Reports und Dashboards mit OBIEE oder Oracle Analytics Server (OAS) Erstellung und Design von Benutzeroberflächen (UI) für Analyse- und Reporting-Anwendungen Einsatz BI-spezifischer Analysemethoden, beispielsweise Data-Mining, analytisches SQL sowie Python oder R Qualitätssicherung und Dokumentation der entwickelten Datenmodelle, Strecken und Anwendungen Mitgestaltung und Weiterentwicklung der Softwarearchitektur auf Senior-Level Proaktive und eigenständige Einarbeitung in Projekt- und Verfahrensstrukturen DAS IST UNS WICHTIG Mehrjährige Erfahrung mit OBIEE (Oracle Business Intelligence Enterprise Edition) oder Oracle Analytics Server (OAS) Kenntnisse in der Datenmodellierung nach Data Vault Erfahrung mit BI-spezifischen Analysemethoden wie Data-Mining, analytischem SQL, Python oder R Praxis in der Entwicklung mit Oracle Data Integrator (ODI) Sicherer Umgang mit SQL Developer oder PL/SQL Developer sowie mit GIT Proaktive und eigenständige Arbeitsweise sowie gute Argumentations- und Konfliktfähigkeit Fähigkeit zur selbständigen Einarbeitung in Projekt- und Verfahrensstrukturen Sehr gute Deutschkenntnisse auf C1-Niveau sowie Englisch auf Konversationsniveau Bereitschaft zu regelmäßigen Vor-Ort-Terminen bei einem Remote-Anteil von etwa 80 % Sehr gute Deutschkenntnisse (C1-Niveau) sowie gute Englischkenntnisse DEIN NEUER ARBEITSPLATZ Was bei uns zählt? Klar definierte Rollen, echtes Miteinander und ein gemeinsames Ziel. Wir nennen das Responsiveness – transparent, wertschätzend und zielorientiert. Hier bist du am Wandel direkt beteiligt, wenn du möchtest. – Nimm Teil an Projekten, die uns als Unternehmen weiterentwickeln. Flexible Arbeitszeiten und Remote Work? – Sind selbstverständlich. Individuelles Hardware-Budget? – Stell dir deinen Arbeitsplatz so zusammen, wie du dich am wohlsten fühlst. Mental Health? – Dein mentales Wohlbefinden ist uns wichtig. Mit OpenUp unterstützen wir dich und bieten dir jederzeit kostenlosen Zugang zu professioneller psychologischer Unterstützung. Individuelles Weiterbildungsbudget? – Egal ob die nächste Zertifizierung oder ein lang ersehnter Sprachkurs – du entscheidest, worin und wann du dich weiterbildest. Mitarbeiter:innen-PC-Programm? – Lease dir dein nächstes Device zur rein privaten Nutzung einfach über virtual7. JobRad oder Firmenwagen? – Wir helfen dir dabei, so mobil zu sein, wie du es brauchst. Erzähl mir, wer du bist und wann du anfangen kannst. Gerne auch über Laura Korth Senior Recruiting Specialist +49 170 3600221 Find more English Speaking Jobs in Germany on Arbeitnow

Position #: 195135 Expected Start Date: To Be Determined; Posted Until Filled Union: HSAS Facility: Kyle Health Centre City/Town: Kyle Department: Ambulance - Land Type: Part-time regular FTE: 0.75 Shift Information: Days, Nights, Evenings, Weekends, Standby Hours of Work: 112.00 hours per 4 week rotation Relief: No Float: No Field Hours: No Salary or Pay Band: Pay Band Emergency Medical Technician $29.909 to $36.572 Travel Required: No Job Description: Reporting to the Manager or designate for the area of province they are working, the Emergency Medical Services - EMT/PCP responds to emergency and non-emergency events, and provides assessment, treatment and transportation of the ill or injured persons consistent with The Saskatchewan Ambulance Act and Regulations; Saskatchewan College of Paramedics (SCoP) Clinical Practice Protocols; The Paramedics Act and bylaws; and Saskatchewan health Authority (SHA) policies, procedures and work standards. Human Resources Exemption: No Education- Primary Care Paramedic diploma (PCP)Licenses- Valid Class 4 driver's licenseOther Education and Training- Basic Cardiac Life Support Certificate (BCLS)- International Trauma Life Support Certificate (ITLS)- Current CPR certificationCompetencies- Basic - Interpersonal skills- Listening skills- Written Communication Skills- Verbal communication skillsKnowledge and Abilities- Basic computer skills including Microsoft Office programs (Word/Excel/Outlook)- Ability to work independently and as a member of a team- Decision making through the application of knowledge and critical thinking- Conflict resolution skills to effectively handle difficult issues- Physically able to perform the duties of pre-hospital emergency care- Ability to operate emergency vehicles safely and effectively- Familiar with the SK Ministry of Health Ambulan...For more information on this job, please visit the employer's website.

Education: Secondary (high) school graduation certificate. Tasks: Implement new administrative procedures . Establish work priorities and ensure procedures are followed and deadlines are met. Carry out administrative activities of establishment. Co-ordinate and plan for office services such as accommodation, relocation, equipment, supplies, forms, disposal of assets, parking, maintenance and security services. Assemble data and prepare periodic and special reports, manuals and correspondence. Perform data entry. Oversee and co-ordinate office administrative procedures. Computer and technology knowledge: Enterprise resource planning (ERP) software. MS Excel. MS Office. MS Outlook. MS PowerPoint. MS Word. Database software. Google Drive. Google Docs. Technical terminology: Human resources. Screening questions: Are you available for shift or on-call work?. Do you have experience working in this field?. Employment terms options: Evening. Shift. Experience: 2 years to less than 3 years. Employment terms options: Day.

Job Description Senior Software Developer ? ETL Requisition: RQ11713 Position: Software Developer ? ETL ? Senior Client: Ontario Government ? Central Agencies Cluster / Treasury Board Secretariat Location: 222 Jarvis Street, Toronto, ON Work Arrangement: 100% Onsite ? 5 days per week Start Date: January 5, 2027 End Date: October 5, 2027 Openings: 1 Security Requirement: CRJMC Submission Limit: 1 candidate Closing Date: October 14, 2026 at 12:00 PM Position Overview The Ontario Government is seeking a Senior Software Developer ? ETL to design, develop, maintain, and enhance database backend and ETL applications supporting Data Warehouse and Business Intelligence solutions . The successful candidate will be responsible for developing robust data pipelines, implementing extraction, transformation, and loading processes, integrating and cleansing data, optimizing SQL and database performance, and ensuring that ETL applications are scalable, maintainable, secure, well-tested, and properly documented. <div style="border:0px; font-style:normal; font-weight:400; font-stretch:inherit; font-size:12pt; line-height:inh