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At Scale AI, we're not just building AI tools—we're pioneering the next era of enterprise AI. As businesses race to harness the power of Generative AI, Scale is at the forefront, delivering cutting-edge solutions that transform workflows, automate complex processes, and drive unparalleled efficiency for the largest enterprises. Our Scale Generative AI Platform (SGP) provides foundational services and APIs, enabling businesses to seamlessly integrate AI into their operations at production scale. We're looking for a Backend Engineer to help bring large-scale GenAI systems to production. In this role, you'll build the core infrastructure that powers AI products for some of the world's largest enterprises—designing scalable APIs, distributed data systems, and robust deployment pipelines that enable production-grade reliability and performance. This is a rare opportunity to be at the center of the GenAI revolution, solving hard backend and infrastructure challenges that make AI truly work at enterprise scale. If you're excited about shaping how AI systems are deployed and scaled in the real world, we want to hear from you. At Scale, we don't just follow AI advancements — we lead them. Backed by deep expertise in data, infrastructure, and model deployment, we are uniquely positioned to solve the hardest problems in AI adoption. Join us in shaping the future of enterprise AI, where your work will directly impact how businesses operate, innovate, and grow in the age of GenAI. You Will: Design, build, and scale backend systems that power enterprise GenAI products, focusing on reliability, performance, and deployment across both Scale's and customers' infrastructure. Develop core services and APIs that integrate AI models and enterprise data sources securely and efficiently, enabling production-scale AI adoption. Architect scalable distributed systems for data processing, inference, and orchestration of large-scale GenAI workloads. Optimize backend performance for latency, throughput, and cost—ensuring AI applications can operate at enterprise scale across hybrid and multi-cloud environments. Manage and evolve cloud infrastructure (AWS, Azure, or GCP), driving automation, observability, and security for large-scale AI deployments. Collaborate with ML and product teams to bring cutting-edge GenAI models into production through efficient APIs, model serving systems, and evaluation frameworks. Continuously improve reliability and scalability , applying strong engineering practices to make AI systems robust, maintainable, and enterprise-ready. Ideally, You Have: 4+ years of experience developing large-scale backend or infrastructure systems, with a strong emphasis on distributed services, reliability, and scalability. Proficiency in Python or TypeScript , with experience designing high-performance APIs and backend architectures using frameworks such as FastAPI, Flask, Express, or NestJS. Deep familiarity with cloud infrastructure (AWS and Azure preferred), including container orchestration (Kubernetes, Docker) and Infrastructure-as-Code tools like Terraform. Experience managing data systems such as relational and NoSQL databases (PostgreSQL, DynamoDB, etc.) and building pipelines for data-intensive applications. Hands-on experience with GenAI applications, model integration, or AI agent systems—understanding how to deploy, evaluate, and scale AI workloads in production. Strong understanding of observability, CI/CD , and security best practices for running services in enterprise or multi-tenant environments. Ability to balance rapid iteration with production-grade quality , shipping reliable backend systems in fast-paced environments. Collaborative mindset , working closely with ML, infra, and product teams to bring complex GenAI systems into production at enterprise scale. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at ----- Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information. Find Jobs in United Kingdom on Arbeitnow

Software Engineer II, Security Location: Belfast, NI / Hybrid (This role requires working in-office 3 days per week.) About us: EverQuote is a leading AI-powered growth solutions partner for regulated property and casualty insurance entities, enabling the largest insurance carriers and thousands of agents to maximize customer acquisition across digital channels. Fueled by our proprietary data assets and our AI traffic engine, EverQuote is transforming the way providers attract and engage consumers to grow market share. Joining our team puts you at the forefront of this transformation. You will collaborate with a group of builders to solve complex problems and reshape a massive industry. If you want to drive real-world impact and do the best work of your career, you've found your home. We move fast, follow the data, and hold ourselves to high standards. If that's how you work too, this is the role for you. About the role: EverQuote NI is seeking a Software Engineer II, Security to join our team! In this role, you will join a team that bridges the gap between Security Engineering and Compliance to streamline vulnerability management. You will work proactively to maintain a security testing process that enables Product and Engineering teams to provide business value in a secure environment. As a senior engineer, you will be an important member of the team and instrumental in the design and delivery of key business applications and solutions. You will have input in architecture decision-making within the team and ensure we build scalable, performant, easy to maintain and cost-optimised solutions. What you'll do: Identifying and trialling new security tooling for our SDLC, particularly in the AI space. Coding solutions to engineering challenges in the security space, primarily using Python and SQL. Advocating and consulting with other engineers on security best practices and secure-by-design methodologies. Maintaining security data products such as SBOM, asset inventory, cloud infrastructure, and SIEM. Monitoring, logging, triaging and escalating cyber security threats, as well as documenting security events including IoC (Indicators of compromise). Conducting and collating security assessments through a variety of methods as appropriate. Creating reports and working collaboratively with engineering teams to remediate identified issues. Providing support and training for teams where needed. What you bring to the team: 2+ years work experience as a Security Analyst, Security Engineer, or in a similar role. Degree in Computer Science or equivalent practical experience. Experienced in programming languages such as Java, Python, Go, and / or SQL. Proficiency with AWS cloud platforms and particularly their security tools such as Security Hub, IAM, etc. Strong knowledge of principles such as risk assessment, threat modelling, the OWASP Top 10, information security practices, and encryption theory. Possess a clear understanding of secure development best practices. Continuous integration and deployment tools. Proficient with Linux environments. Entrepreneurial mindset, want to grow a business, and love working with a team. Comfortable using data to support and validate your concepts. Thrive in a fast-paced work environment where everyday contributions have a big impact. Ability to quickly diagnose and solve code problems, as well as help others unblock themselves. Passionate about sharing knowledge and mentoring teammates. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in variable cash bonus programs, equity, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility which are designated by role. Your recruiter can provide more details about the specific salary/OTE range for your role during the hiring process. Statement on Fair Employment and Equal Opportunities EverQuote NI is committed to ensuring equal opportunity for all job applicants and employees. We will not discriminate on the grounds of religious belief, political opinion, race, gender (including gender reassignment), sexual orientation, marital or civil partnership status, pregnancy or maternity, age, or disability. As a registered employer in Northern Ireland, EverQuote NI complies with the Fair Employment and Treatment (Northern Ireland) Order 1998. As part of the application process, you will be asked to complete a fair employment monitoring form; this information is used solely for monitoring purposes and does not form part of the shortlisting or selection decision. EverQuote NI carries out background checks on all candidates offered a position. A criminal record will not automatically disqualify you from working with EverQuote NI Limited; each case is considered on its individual merits in line with our fair recruitment practices. Reasonable Adjustments We are committed to ensuring an inclusive and accessible recruitment process for all candidates. If you require any reasonable adjustments or accommodations at any stage of the interview process, please let us know and we will work with you to arrange them. For more information, visit https://investors.everquote.com and follow on LinkedIn . Find Jobs in United Kingdom on Arbeitnow

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we're unlocking new possibilities as one global team. Your job is to make sure every payout and transaction lands with the right person. We have spent years getting very good at protecting the things a marketplace has always had to protect: checkout fraud, account takeover, courier abuse. But we are no longer only a marketplace. We now issue banking products, lend to merchants, move instant payouts to couriers, and collect cash on the doorstep. Every one of those is a new way for money to leave the platform. This is a new team, and it owns that surface: fraud wherever money moves through the platform. Who receives it, who lends it, who collects it, and who holds it in a financial account. Think instant payout rails, merchant cash advances, and platform-issued banking and earned-wage products serving millions of couriers and merchants. These are live loss surfaces, and the volume grows with every financial product we launch. We are now looking for a Backend Engineer (Golang) to build that protection. You will design and ship real-time detection and automated enforcement for our financial products across DoorDash, Wolt, and Deliveroo. The work is high-throughput, low-latency, and unusually consequential: a rule you ship on Monday can stop a serious loss by Friday. It is also close to greenfield, so you will be setting the patterns every future financial product inherits on day one. This role will be based in London , UK as one of the founding engineering roles in our London hub, working closely with our teams in Helsinki and Berlin. What you'll do: Build and maintain high-throughput, low-latency backend services in Go that score financial events in real time, including payout enrollments, bank account links, credit applications, and account-to-account transfers. Design fraud detection and automated enforcement for our financial products end to end: from signal collection through to the decision that blocks a fraudulent payout. Build on and extend our shared fraud decisioning platform, so signals, rules, and models work across all three of our brands instead of being rebuilt three times. Partner closely with risk analysts, data scientists, and product managers to turn observed fraud patterns into shipped detection, and to know when a rule, a model, or a product change is the right answer. Work across team boundaries with our account security, payments fraud, and financial product teams. We build on their signals rather than rebuild them, so clean interfaces matter. Contribute to architectural discussions and technical decisions as we establish the fraud infrastructure baseline for financial products, with support from senior engineers on the team. Write well-tested, observable code and help the team hold a high quality bar. In fraud, a silent failure is a loss event. Our expectations: 3 to 6 years of professional software engineering experience, including backend services you have shipped and owned in production. 1+ years of production experience in Golang, or strong experience in another backend language and real enthusiasm for picking Go up quickly. A working understanding of low-latency, high-throughput distributed systems. Real-time decisioning comes with a latency budget, and you are keen to learn to build inside one. Hands-on experience with SQL and/or NoSQL databases, and some exposure to event-driven architectures (Kafka or similar). Willingness to operate what you build, including a share of on-call, with a pragmatic approach to reliability. Uses AI tooling in day-to-day development and can critically evaluate its output for correctness and quality. Nice to have Experience in fraud, risk, payments, lending, or financial crime, especially money movement fraud, bank account linking fraud, payout abuse, or lending fraud. Experience with rules engines, real-time feature stores, or ML model serving in a decisioning path. Background in Kotlin, Java, Python, or Node.js alongside Go. Familiarity with cloud infrastructure (AWS, GCP). Experience working across multiple brands, regions, or regulatory regimes. What we value A product-oriented mindset. You think beyond the ticket, understand the "why" behind the work, and take a high level of responsibility for outcomes rather than output. Comfort with ambiguity. This is a new team on a new surface; parts of the charter are still being drawn, and you will help draw them. A track record of owning a project or feature end to end, especially in fast-paced environments. Clear and proactive communication, with a collaborative spirit. We work across three companies and several time zones, so we move fast, but we succeed together. An adversarial instinct. The best fraud engineers enjoy thinking like the attacker. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We're committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you'll have the opportunity to let us know once you've submitted your application. We'll share details on how to request support so we can ensure you have a fair and equitable experience. If you're excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we'd love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness . Find Jobs in United Kingdom on Arbeitnow

About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we're building the delivery of (almost) everything and you'll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn't always easy, but it's definitely exciting. Here you'll learn more, build more, and ship more than in most other companies. You'll be challenged a lot, but also have a lot of fun on the way. So, if you're a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. About the Team Our Infrastructure teams build the foundation that engineers at Wolt, Deliveroo, and DoorDash build on: the compute, cloud, and networking capabilities that enable Engineering teams to develop, deploy, and run services at global scale. The EU Compute team has a specific focus on provisioning, scaling, and the efficient operation of GPU infrastructure for AI and ML workloads. This is an emerging space with plenty of greenfield opportunities. We're looking for a Staff Engineer to be a hands-on technical leader for this infrastructure work that crosses team and brand boundaries. You'll set direction for the platform, turn complex problems into deliverable plans, write and review production code, and help other engineers make sound decisions. It's an exciting time to join: we're building a global platform and the choices made now will shape how engineers across the company ship for years. What you'll be doing You'll own some of the hardest infrastructure problems in the company and make the platform easier to operate and safer to build on. We're determined to build great platform products and user experiences, and you'll be pivotal in making this reality. Day-to-day in this role you'll: Set technical direction for shared AWS and Kubernetes infrastructure, balancing reliability, security, developer experience, and cost. Lead substantial initiatives from design through rollout and operation, coordinating dependencies and decisions across Wolt, Deliveroo and DoorDash, focusing on workloads targeting GPUs. Evolve Kubernetes clusters, cloud networking, identity, and infrastructure provisioning to support growing and varied workloads. Build reusable Terraform patterns and self-service tooling that help teams provision infrastructure safely and consistently. Improve deployment and operational practices, including GitOps, observability, capacity planning, incident response and recovery. Use production signals and developer feedback to find platform friction, choose where to invest and measure whether changes actually help. Assist with supporting the platform, with deep focus on GPU infrastructure, as well as broad focus on compute in general. Gracefully sunset legacy infrastructure and tooling, and create strategies to reduce toil. Mentor engineers through design reviews, implementation and incidents, raising the quality of infrastructure work across teams. Our humble expectations Deep experience building and operating Kubernetes and AWS infrastructure in production. Familiarity with GPU workloads and orchestration is a plus. Strong software engineering skills: you use Go, Python or a similar language to build maintainable tools and automation. Experience with infrastructure as code (we use Terraform) and with designing systems that other engineering teams depend on. A track record of leading complex technical work across teams, including architectural decisions, delivery, and operational follow-through. You have the breadth to collaborate and design across team and domain boundaries, and the depth to have hands-on impact. Strong judgment on trade-offs in distributed systems, networking, security, reliability, and cloud cost. Clear communication, and the ability to bring people together around a practical technical direction. What we offer Scope and influence. Shape infrastructure used globally, while staying close to the engineering. Your work will help product teams ship services with greater ease and confidence. Real problems at global scale. Multi-cluster Kubernetes, AI / ML workloads, cloud networking, GitOps, and progressive delivery across a global company. Autonomy and ownership. Set direction and see it through from design to operation, with the backing of a global engineering organisation spanning Europe and the US. Growth. Room to expand your scope, whether through deeper technical leadership or broader cross-domain influence. Great people. Work with talented engineers and leaders in a diverse, international environment, mentoring and learning from others. Our Commitment to Diversity and Inclusion We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash . Find more English Speaking Jobs in United Kingdom on Arbeitnow

About Tensordyne (formerly Recogni) AI is transforming our world. It can perform cognitive functions that previously only humans could do, such as perceiving interactions across different modalities and environments - with the ability to quickly learn and then solve complex problems. Tensordyne is an AI system solution company that builds very high-performance, low-power generative AI inference systems. Our mission, through the creation of custom silicon, hardware and software, is to enable multimodal Generative AI inference acceleration at scale, with safe, sustainable, high-performance systems for our hyperscaler and neocloud data center customers. We are at the leading edge of advancing the latest research and product improvements for generative Al inference solutions that will make Al even more advantageous for compelling new generative AI applications.Tensordyne is a well funded, fast-paced startup company with headquarters in both Sunnyvale, CA, and Munich, Germany. We also have many talented team members working remotely across North America and Europe. We take care of our people and their families with comprehensive benefits, competitive compensation, flexible spending options, and recognition programs, because building category-defining technology starts with a healthy, supported team. Come join us as we shape the future of multimodal generative artificial intelligence! Role summary How much numerical precision does an LLM need, and where in the model architecture does it matter most? When does quantization improve runtime, and what does it cost in model quality? We're looking for a motivated working student to help turn these questions into experiments and experiments into maintainable code. You'll explore optimization methods and build reusable evaluation tooling. You'll work closely with our quantization, compiler, and runtime engineers, and your findings will directly influence how we optimize models for Tensordyne hardware. What you will do Model quality evaluation: Measure how low-precision computation affects performance on coding and reasoning benchmarks. Diagnose where quantization has the greatest impact. Quantization research: Implement and compare post-training quantization methods to improve inference efficiency while preserving task accuracy. Build reproducible tooling: Automate evaluations, track configurations and results, and make experiments accessible to engineers and AI agents. Measure runtime performance: Characterize latency, throughput, and memory usage to understand bottlenecks under different deployment scenarios. A first project could involve exploring the quality–performance Pareto frontier of a Qwen or LlaMa model. You'll experiment with 16-bit, 8-bit, and 4-bit quantization configurations to find the best runtime-quality tradeoff. Core qualifications Current enrollment in Computer Science, Mathematics, Electrical Engineering, Machine Learning, or a related master's degree program. Strong Python and PyTorch skills, including the ability to understand and modify model implementations. Effective use of AI coding tools and critical review of their output. An experimental mindset: you can formulate hypotheses, design comparisons, and draw careful conclusions from noisy results. Clear communication and the ability to present experimental findings and technical tradeoffs to the team. Strong pluses: experience with quantization, LLM evaluation, performance profiling, or inference optimization. This role is for you if you thrive on responsibility, learn quickly, and are naturally proactive . What we offer Join a deep-tech team building the next generation of AI inference systems. Put your university knowledge into practice with leading open-source LLMs, deepen your understanding of quantization and inference optimization, and build skills in experimental design, software engineering, and AI coding tools. You'll own a focused project, receive close mentorship from experienced engineers, and have room to explore ideas that shape our optimization methods. Tensordyne's culture was built on the following values Put people first. We only succeed when our people succeed. Ethics and integrity always. Be open, honest, and respectful of everyone. Think Big. Be ambitious and have audacious goals. Aim for excellence. Quality and excellence count in everything we do. Own it and get it done. Results matter! Make each person better together than they would be as an individual. Embrace each other's differences, and embrace that there will be differences. Tensordyne is an equal opportunity employer. We believe diverse teams are better equipped to solve complex problems and build exceptional technology. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances. A note to recruitment agencies: Please do not contact Tensordyne employees or leaders regarding this role. We do not accept unsolicited agency resumes and are not responsible for fees associated with unsolicited submissions. Find more English Speaking Jobs in Germany on Arbeitnow

Camunda is the enterprise platform for agentic orchestration , enabling organizations to coordinate AI agents, people, and systems across complex, end-to-end business processes. With built-in governance, auditability, and human oversight, Camunda gives enterprises the control they need to move AI from pilots to production — safely and at scale. Trusted by over 700 organizations worldwide , including 9 of top 10 US banks, Camunda helps enterprises boost operational efficiency, accelerate time-to-value, and deliver better customer experiences. Fully remote and global, we are in the middle of something bigger: transforming into an AI-first organisation, built on our own platform . We use Agentic AI to automate, orchestrate intelligent processes, and elevate human contribution across every team. Named GP Bullhound's Top 100 Next Unicorn list, 2025 Great Place to Work certified. Visionary in 2025 Gartner® Magic Quadrant™ for Business Orchestration and Automation Technologies. ranked 3rd in Flexa's 2026 Most Flexible Companies , We're growing fast and looking for top talent to join our team. If you want meaningful work, visible impact and put something genuinely rare on your CV, keep reading. About the Role: Camunda's Revenue Operations organization is looking for a Senior GTM Systems AI and Automation Engineer to design, build and operate the AI-powered infrastructure that connects our go-to-market systems and removes manual work across Sales, Customer Success, Marketing, Partnerships and Account Development. You will join the GTM Systems team – a small group of builders who own a Salesforce-centric revenue stack – and take ownership of its AI and automation layer: agents, LLM integrations, MCP servers, retrieval pipelines, backend services and workflow orchestration. You will partner with GTM leaders to find high-impact problems, scope them, and ship reliable, well-governed solutions iteratively. This is a fully remote role and can be based anywhere we are eligible to hire. What You Will Do: Design, build and operate AI agents, LLM integrations and automations that connect Salesforce, Gainsight, Slack, Salesloft, Clari, HubSpot, Impartner and the rest of the GTM stack – reducing manual work across Sales, CS, Marketing, Partners and ADR teams. Own the architecture of the GTM Systems AI layer: MCP servers, APIs, retrieval and context pipelines, reusable agent tools and skills, and serverless or containerized services on Google Cloud Platform (BigQuery, Cloud Run, Cloud Functions). Ship production-grade LLM capabilities – prompt engineering, RAG, function calling, structured outputs, automated evaluations – with the guardrails to match: validation, fallback logic, confidence thresholds, human escalation paths, access controls, audit logging, and cost and latency management. Partner with Revenue Operations, Sales, Customer Success, Marketing, Partnerships and SDR/ADR leaders to identify and prioritize automation opportunities, translate ambiguous requirements into maintainable solutions, and deliver incrementally with clear documentation. Raise the engineering bar for the GTM Systems team: code review, automated testing, CI/CD, security governance, observability and technical documentation; mentor teammates on responsible AI-assisted development. Design and deploy workflows on orchestration platforms such as Camunda and Clay, and create playbooks and enablement so GTM teams can use and operate automations independently. What You Will Bring to the Role: Must Haves: 5+ years of software engineering experience (backend development, systems integration, data or analytics engineering, or automation), including at least 2 years shipping LLM or AI capabilities into production business workflows or internal tools. Strong proficiency in Python and JavaScript/TypeScript (Node.js), with mature Git-based development habits: code review, automated testing, CI/CD. Hands-on command of LLM patterns – prompt engineering, RAG, function/tool calling, structured outputs, model evaluation – and of their failure modes and mitigations (validation, fallback logic, confidence thresholds, human review, cost and latency control). Experience integrating with Salesforce (REST/Bulk/Streaming APIs, data model, platform limits; Apex or Flow a plus) and other business systems via APIs and event-driven patterns, and with a cloud platform (GCP preferred: BigQuery, Cloud Run, Cloud Functions, IAM). Ability to own a problem end-to-end with minimal guidance – scope, design, deliver, operate – and to communicate clearly with engineering and business stakeholders in a remote, asynchronous environment. Nice to Haves: Experience with the Model Context Protocol (MCP) or similar standards for connecting AI systems to tools and data; agent frameworks; vector databases or retrieval pipelines (pgvector, Pinecone, Weaviate, ChromaDB). Exposure to AI observability and evaluation tooling (LangSmith, Weights & Biases, or custom eval frameworks). Familiarity with orchestration platforms such as Camunda or Clay, and prior work in Revenue Operations, GTM Systems, Sales Operations or Marketing Operations in B2B SaaS. Building lightweight interfaces for AI tools (React, Slack Block Kit, dashboards); Salesforce certifications (Platform Developer I/II, Integration Architect). This role is an existing vacancy #LI-JS1 #Remote #C4 What We Have to Offer: Compensation We offer competitive, fair, and transparent compensation. Salary ranges are location-based, with Standard and Major markets (global tech hubs) reflecting local competition. The Annual Total Target Cash (base salary + 100% variable target, where applicable) shown below spans from the minimum in a Standard market to the maximum in a Major market. Final offers depend on skills , experience , and location , and we typically hire in the first half of the range to allow room for growth: United States: $143,800.00 to $231,900.00 United Kingdom: £90,300.00 to £148,500.00 Singapore: S$178,600.00 to S$267,900.00 If you're based elsewhere, you'll be hired via Remote.com (our global employer partner), and your Talent Acquisition Partner will provide a personalized Total Rewards Calculator after your first interview. Equity: We also offer equity (where applicable) through our Virtual Stock Option Plan (VSOP) . Benefits & Perks We invest in your wellbeing, growth, and ability to connect, along with perks that support you no matter where you're based. Our benefits are globally designed and locally delivered where applicable. Remote & Flexible: Work from anywhere with the setup that suits you, home office budget, co-working space support, and flexible time off to recharge when you need it. In Person Connection: We invest in meaningful face time through our Annual Kickoff (Vienna in 2025, Madrid in 2026!), team offsites, and Camundi Connection Budgets , including contributing to meetups while travelling,, and local gatherings with fellow Camundi. Health & Wellbeing: Access locally tailored healthcare, Modern Health for global mental wellbeing, and our Live Well Lifestyle Spending Account (LSA), a flexible, global benefit that puts you in control of your whole life, not just work, from: staying active, to caring for family, exploring personal passions, meaningful experiences, and investing in your financial wellbeing. The Live Well program launches in 2026 and scales to €1,000 annually from 2027 . Financial Security: Retirement and pension plans (often with company contributions), plus life and disability insurance where relevant. Professional Growth: Up to $/€/£1,000 per year for self-driven learning: courses, certifications, books, you decide! AI in our hiring process : Camunda may use AI tools to aid the screening of applications and during the interview process. You can learn more here "Everyone is welcome at Camunda" — it's a celebrated component of our culture. We strive to create an inclusive environment that empowers our people. At Camunda, we honour diverse cultures and backgrounds and are proud to be an equal opportunity employer. All qualified applicants will receive consideration without regard to gender, race, ethnicity, religion, belief, sexual orientation, age, disability or any other protected characteristics under applicable law. We are looking forward to your application! Come join us and be part of Camunda's incredible journey: Make an impact at a pivotal moment in our story! Please be aware that scammers may impersonate Camunda by reaching out about job opportunities. Camunda will only contact candidates from an email address ending in @ camunda.com or @ talent.camunda.com . We will never ask candidates for bank account details, checks, payment, or other sensitive financial information as part of our hiring process. If you receive a suspicious message, please do not respond, click any links, or share personal information. Note for recruiting and placement agencies: Camunda does not accept unsolicited agency resumes. Please do not forward resumes to our careers site, employees, or any other Camunda contact unless we have specifically engaged your firm for that search. Camunda will not pay fees related to unsolicited resumes. For information about how your personal data is processed, please refer to Camunda's Applicant Privacy Policy . We note that phone numbers and SMS opt-in data are not shared, sold, or rented to third parties or affiliates for marketing or promotional purposes. By opting in to SMS use, please be aware that: Text message frequency may vary; Standard text message and data rates may apply; and By opting in, you will be enrolled directly in ongoing recruiting text messages from Camunda. To opt-out, simply select 'No' when prompted during your application. You can also change your preferences at any time by contacting ----- style="min-height:1.5em"> Find Jobs in Germany on Arbeitnow

About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we're building the delivery of (almost) everything and you'll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn't always easy, but it's definitely exciting. Here you'll learn more, build more, and ship more than in most other companies. You'll be challenged a lot, but also have a lot of fun on the way. So, if you're a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. About the Team Our Infrastructure teams build the foundation that engineers at Wolt, Deliveroo, and DoorDash build on: the compute, cloud, and networking capabilities that enable Engineering teams to develop, deploy, and run services at global scale. The EU Compute team has a specific focus on provisioning, scaling, and the efficient operation of GPU infrastructure for AI and ML workloads. This is an emerging space with plenty of greenfield opportunities. We're looking for a Staff Engineer to be a hands-on technical leader for this infrastructure work that crosses team and brand boundaries. You'll set direction for the platform, turn complex problems into deliverable plans, write and review production code, and help other engineers make sound decisions. It's an exciting time to join: we're building a global platform and the choices made now will shape how engineers across the company ship for years. What you'll be doing You'll own some of the hardest infrastructure problems in the company and make the platform easier to operate and safer to build on. We're determined to build great platform products and user experiences, and you'll be pivotal in making this reality. Day-to-day in this role you'll: Set technical direction for shared AWS and Kubernetes infrastructure, balancing reliability, security, developer experience, and cost. Lead substantial initiatives from design through rollout and operation, coordinating dependencies and decisions across Wolt, Deliveroo and DoorDash, focusing on workloads targeting GPUs. Evolve Kubernetes clusters, cloud networking, identity, and infrastructure provisioning to support growing and varied workloads. Build reusable Terraform patterns and self-service tooling that help teams provision infrastructure safely and consistently. Improve deployment and operational practices, including GitOps, observability, capacity planning, incident response and recovery. Use production signals and developer feedback to find platform friction, choose where to invest and measure whether changes actually help. Assist with supporting the platform, with deep focus on GPU infrastructure, as well as broad focus on compute in general. Gracefully sunset legacy infrastructure and tooling, and create strategies to reduce toil. Mentor engineers through design reviews, implementation and incidents, raising the quality of infrastructure work across teams. Our humble expectations Deep experience building and operating Kubernetes and AWS infrastructure in production. Familiarity with GPU workloads and orchestration is a plus. Strong software engineering skills: you use Go, Python or a similar language to build maintainable tools and automation. Experience with infrastructure as code (we use Terraform) and with designing systems that other engineering teams depend on. A track record of leading complex technical work across teams, including architectural decisions, delivery, and operational follow-through. You have the breadth to collaborate and design across team and domain boundaries, and the depth to have hands-on impact. Strong judgment on trade-offs in distributed systems, networking, security, reliability, and cloud cost. Clear communication, and the ability to bring people together around a practical technical direction. What we offer Scope and influence. Shape infrastructure used globally, while staying close to the engineering. Your work will help product teams ship services with greater ease and confidence. Real problems at global scale. Multi-cluster Kubernetes, AI / ML workloads, cloud networking, GitOps, and progressive delivery across a global company. Autonomy and ownership. Set direction and see it through from design to operation, with the backing of a global engineering organisation spanning Europe and the US. Growth. Room to expand your scope, whether through deeper technical leadership or broader cross-domain influence. Great people. Work with talented engineers and leaders in a diverse, international environment, mentoring and learning from others. Our Commitment to Diversity and Inclusion We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash . Find Jobs in Germany on Arbeitnow

At Quantum Systems, we are building the next generation of autonomous aerial systems. The Drone Port is a key element of this vision, enabling fully autonomous launch, landing, charging, health monitoring and mission readiness of our UAV platforms. As a Software Engineer - Perception , you will play a central role in developing the intelligence that allows the Drone Port and aircraft to interact seamlessly. You will work on perception algorithms, control systems, embedded software and sensor integration to create reliable autonomous behaviours that operate in real-world environments. Working closely with experts from Mechanical Engineering, Electronics, Systems Engineering Flight Controls, Embedded Software, AI and Flight Test, you will help shape one of the most advanced autonomous drone infrastructure products on the market. Your work will directly influence the future of fully autonomous BVLOS operations and scalable drone deployments worldwide. What is your Day to Day Mission: Develop perception software for autonomous Drone Port operation. Design and implement computer vision algorithms for precision landing, docking and localisation. Integrate cameras and additional perception sensors into the Drone Port software stack. Develop software for sensor processing, calibration and data synchronization. Improve robustness of perception algorithms under varying environmental conditions. Support the integration of perception components into the overall autonomy architecture. Analyse test data and continuously improve perception performance based on field results. Design, train, and optimize computer vision models for object detection, pose estimation, and related perception tasks. Deploy models on GPU-enabled edge platforms Develop internal tools for testing, visualization and debugging perception pipelines. Collaborate closely with Robotics, Embedded, Mechanical and Systems Engineering throughout the complete product development lifecycle. Support flight and field testing of autonomous Drone Port capabilities. Contribute to software architecture, code quality and engineering best practices Support flight and field testing of autonomous Drone Port capabilities. Contribute to software architecture, coding standards and engineering best practices. Mentor junior engineers and actively contribute to the technical growth of the robotics team. What you bring to the team: Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering or a related discipline. First professional experience, internships or university projects in robotics, computer vision or autonomous systems. Strong programming skills in Python. Solid understanding of deep learning fundamentals (CNNs, transformers) Hands-on experience developing object detection and pose estimation models. Experience with PyTorch Experience with OpenCV or comparable computer vision frameworks. Experience with scalable synthetic dataset workflows combining BlenderProc 3D scene rendering, precise ground-truth annotation (depth, segmentation, pose), and state-of-the-art augmentation techniques. Experience developing software on Linux. Familiarity with Git and modern software development workflows. Experience working with cameras and image processing pipelines. Basic knowledge of ROS or ROS2 is a plus. Strong analytical and problem-solving skills. Passion for autonomous systems and robotics. Fluent English. Why Quantum-Systems: We believe in the power of combined efforts: straightforward tech expertise paired with a customer-centric focus. We are industry pioneers who are ambitious, bold, and visionary. We push limits, think outside-the-box and strive for technological excellence to shape the future of aerial data. We promise to be your runway for individual and professional growth. Our benefits: Company pension scheme: We support you so that you can already make provisions for later. Flexible working hours: With trust-based working hours, you are not only responsible for your working hours, but also for your work-life balance. Mobile working: If it gets too turbulent for you in our office, you can get the necessary balance through mobile working. Bike-Leasing: We support you in staying environmentally mobile and healthy. Corporate Benefits: Your opportunity for attractive offers and discounts from well-known suppliers and brands, e.g. Adidas, Apple, Expedia. Employee events: We not only want to grow together, but also celebrate our successes together. Lunch-Card: Be powerful with delicious energy, daily lunch budget is sponsored. Company Shuttle: Enjoy our convenient shuttle service that picks you up from Laim in Munich and brings you to our location, with return trips at the end of the workday. About us: Quantum Systems specialises in the development, design, and production of small Unmanned Aerial Systems (sUAS). The company's range of electric vertical take-off and landing (eVTOL) sUAS are built to maximize range and versatility and to provide operators with a seamless user experience. By integrating cutting-edge software capabilities, like edge computing and real-time AI-powered data processing, Quantum Systems is building next-generation UAS for clients in defence, security, public sectors. Our commitment: We are an open-minded company that not only values diversity, but actively promotes it. Regardless of gender, age, ethnic origin, religion, sexual orientation or disability, we firmly believe that the diversity of our employees is an essential part of our success. At our company, every voice is heard and every perspective is valued. We believe that our differences enrich us and help us to find creative solutions and generate innovative ideas. We pride ourselves on creating an inclusive work environment where all employees can reach their full potential. Find Jobs in Germany on Arbeitnow

Swarm Aero is redefining air power, building the largest swarming UAV and the most versatile swarming aircraft network in the world. The company is moving quickly to launch the first aircraft designed specifically for swarming, as well as the Command & Control software to mobilize swarms of thousands of heterogeneous autonomous assets and empower human operators to achieve superhuman results. The team has created and exited multiple startups, negotiated defense deals worth billions of dollars, and designed and built 30+ novel aircraft, with aerospace experience from Scaled Composites, Airbus, Archer Aviation, Blue Origin, and Boom Supersonic. Mission Turn operational needs, customer feedback, and product direction into clear product specifications—and then drive those capabilities through decisions, design, development, and validation. You will work directly with the Head of Product on Legion and become a core contributor to both defining the product and running the process around it. What You'll Own Create clear, detailed product specifications for new features and capabilities. Take customer needs, operator feedback, technical constraints, and product direction and turn them into actionable product requirements. Own bounded features from early definition through design, development, feedback, and validation. Work directly with Product Design to translate specifications into detailed workflows and Figma designs. Review designs and implementations against product intent and requirements. Facilitate product discussions with government customers, third-party contractors, operators, engineers, and internal stakeholders. Prepare agendas and clearly identify topics requiring feedback, decisions, or alignment. Capture decisions, unresolved issues, customer feedback, and action items. Incorporate meeting outcomes directly into product specifications and related artifacts. Maintain feature status, decision history, feedback registers, and key product commitments. Identify ambiguity, conflicting requirements, and missing decisions before they slow the team down. Track important product and contractual deliverables. Help prepare product reviews, demonstrations, and customer discussions. Create enough structure to keep the organization aligned without introducing unnecessary process. What Great Looks Like You are given a problem such as: "Operators need a better way to understand and respond to vehicle health issues during degraded communications." You meet with the relevant operators, engineers, customers, and stakeholders. You understand the underlying problem. You separate customer requests from actual product requirements. You identify edge cases and unresolved decisions. You write a product specification that clearly explains the intended behavior, workflows, system states, requirements, and open questions. You work with Product Design to turn that specification into a strong interface. You incorporate feedback, resolve ambiguity, and keep the feature moving until the capability works as intended. The Head of Product provides direction and reviews the most important decisions—but does not need to personally produce every artifact or manage every follow-up. Early Expectations Within the first few weeks, you should begin contributing directly to product specifications. Initially, you may draft sections of specifications or own smaller, well-bounded capabilities with guidance from the Head of Product. As your understanding of Legion, its operators, and the technical architecture grows, you will rapidly take ownership of larger features. We are not looking for someone who spends six months observing before contributing. The Person We're Looking For You are an excellent writer. You can take a complicated conversation and turn it into a clear product definition. You have strong product judgment and are comfortable making reasonable decisions when requirements are incomplete. You understand that a customer request is not automatically a product requirement. You are technically curious and capable of participating meaningfully in discussions with software engineers, systems engineers, operators, and external partners. You naturally ask questions like: What problem are we actually trying to solve? Who needs this capability? What should happen in this edge case? What does the operator see? What state is the system actually in? How will we know this works? Is this a product decision, an engineering decision, or a customer preference? You are highly organized, but organization is a means to an end. Your real job is creating clarity and moving product decisions forward. Particularly Valuable Experience Experience with any of the following would be especially valuable: Technical product management Complex B2B software Command-and-control systems Aerospace or defense Robotics or autonomous systems Mission planning Geospatial software Systems engineering Government programs Operational testing Requirements development What This Role Is Not This is not a project coordinator role. It is not a Scrum Master role. It is not an administrative Product Operations position. It is not someone whose primary contribution is scheduling meetings, maintaining Jira, or writing meeting minutes. Those activities may occasionally be necessary, but they are secondary. The primary contribution is: understanding product problems and defining excellent solutions. Success After 90 Days You are independently drafting product specifications for bounded Legion features. Customer and operator feedback is consistently translated into clear product requirements. Product meetings result in updated specifications, decisions, and actionable follow-up. The Head of Product can delegate meaningful feature-definition work to you. Product Design receives clearer inputs and can move faster. Important product decisions and rationale are documented and traceable. ITAR requirement To conform to U.S. Government export regulations, applicant must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Swarm Aero is an equal opportunity employer. We value diverse backgrounds and experiences and make employment decisions without regard to race, religion, national origin, gender, sexual orientation, age, veteran status, or disability. What We Offer Meaningful equity in a high-growth defense technology company Competitive base salary commensurate with experience Medical, dental, vision, and 401k PTO and paid sick leave Monthly wellness stipend Daily catered lunch (office) Paid parental leave Direct impact on a critical national security mission A world-class team of engineers and operators solving genuinely hard problems Compensation: $170K – $220K • Offers Equity • $170K – $220K • Offers Equity Find more English Speaking Jobs in Germany on Arbeitnow

We are looking for a hands-on Autonomous Drone Software Engineer to join a swarming programme. As an engineer on a lean, high-impact team, you will have the opportunity to drive development of new features, have a say in architecture and design decisions and have real impact across all the team's projects. You will not be siloed; this role spans the entire autonomy lifecycle, from developing autonomy capabilities to investigating real-world flight-test data. The ideal candidate is someone who's a self-starter, can work independently, can work with ambiguity, can take decisions on their own and not be afraid to drive and push towards getting the project across the finish line. Responsibilities and Duties Take ownership and drive the development of new features across the autonomy stack and partner integrations Collaborate closely with hardware engineers, product managers, and external partners to define system requirements and translate them into robust software architecture Design and implement robust distributed state machines, leader election protocols, and fault-tolerant architectures. Deliver clean, readable and maintainable code while confidently managing complex concurrency and contention scenarios Develop and run rigorous tests utilizing SITL/HITL simulation environments to validate code prior to physical deployment Actively participate in code reviews, architectural discussions, and technical documentation to elevate the team's engineering standards Act decisively during flight-test investigations, applying strong engineering judgment to physical failure modes and release safety Qualifications and Skills 3+ years of professional engineering experience in robotics, embedded systems, or distributed systems. Deep proficiency in modern C++, with practical experience designing, reasoning about, and debugging highly concurrent systems. Embedded systems experience working close to hardware on real-time or safety-critical platforms (e.g., avionics, automotive, robotics). Strong architectural understanding of distributed systems, with the ability to deliberately evaluate and select consensus designs. Familiarity with robust release management, versioned artifacts, and pinned dependencies. Experience with PX4, MAVLink, and related drone software ecosystems is a plus EU citizenship required Benefits Flexible working hours Stock Options Generous holiday allowance Pension plan Extended social security package Enhanced maternity & paternity leave Wellpass membership About Auterion We are building the leading software platform for AI-powered autonomous systems for enterprise and government customers. Our team is supporting the most important missions and solving the most challenging problems. At Auterion, we bring together the sharpest minds who love to solve the hardest problems. Join a vibrant team built on innovation, openness, and excellence, where you'll be empowered to develop ideas, collaborate across all levels, and make an impact that matters. Find Jobs in Germany on Arbeitnow

Headquarters: Armenia Yerevan, EMEA, Armenia URL: http://replika.com About Replika In 2017, no one knew what AI was supposed to be. We built the world's first consumer AI app. Two million people showed up in two months. Today it's over 40 million, and the thing they keep telling us hasn't changed: it helped. It made their life better, steadier, a little less alone. Most AI is built for tasks, not for people. It gives you answers, but it doesn't care what you do with them. AI doesn't just need intelligence. It needs intention. Because the real question isn't just what AI can do. It's what AI is for. When the world's leading researchers wanted to understand whether AI could actually change someone's life, they studied Replika, because there was nothing else to study. What they found at Stanford, at Harvard, across years of research, was that Replika doesn't replace human connection. It deepens it. People become more social, more confident, more themselves. Not in theory. In their actual lives. Every major AI company talks about their mission for humanity. None of them has ever clearly said what they're trying to do for a single person. We will. We want to help you flourish in real life. Not become a better version of yourself, just more yourself. Strong relationships. Better health. Meaning. Momentum. A life that feels worth living while you're living it. We're building the kind of AI that follows up. That knows the people in your life and nudges you to reach out when it matters. That sends you a poem, just because. The goal is conversations that lead somewhere real. Maybe it's a text you send to a long lost friend. A hobby you pick up again. A moment you show up for yourself. Everyone else is building AI that thinks. We're building AI that cares. Lifecycle & CRM Specialist About this role Millions of people have already met Replika: free users who haven't upgraded yet, subscribers who've lapsed, and people who signed up years ago and drifted away. Almost none of them hear from us in a way that's worth opening. That's the biggest untapped channel we have, and you'll own it. You'll build our lifecycle program from the ground up. Email first, then in-app messages, push and any other channel that gets the right message to the right person at the right moment. Onboarding, free-to-paid conversion, renewals, win-back, product launches. The goal is revenue and retention, not open rates. This is a hands-on role. You'll help set the lifecycle strategy and build it yourself: the segments, the flows, the copy, the tests and the reporting. Our users are in almost every country, so you'll work within consent and privacy rules for a global audience, and you'll know how to design a program that is both compliant and effective. What You'll Be Doing Build the core lifecycle flows: onboarding, free-to-paid conversion, intro offers ending, renewals, cancellation saves and win-back. Convert free users. Work with product on in-app messages and offers that move people to paid at the right moment. Reactivate our base. Plan and run campaigns to lapsed users and our long-dormant email list, cleanly and within consent. Segment and personalize with product and subscription data, so each person gets the message that fits where they are. Test everything: timing, subject lines, offers, channels. Keep what wins and kill what doesn't. Own deliverability, list health and the reporting that ties every flow to revenue. What We're Looking For Hands-on lifecycle or CRM experience at a consumer subscription app, with revenue results you can show. You've built flows yourself in a modern messaging platform like Braze, Customer.io, Iterable or Klaviyo. Strong with data. You build your own segments and read your own results without waiting for an analyst. You understand compliant communication for a global audience: consent, unsubscribes, GDPR, CAN-SPAM and their equivalents. You write good copy, or know exactly how to brief and edit it. You shape the strategy and do the implementation yourself. Excellent written English. Bonus Points In-app messaging and push experience on iOS and Android. Deliverability experience: domain reputation, warming, and bringing a large dormant list back safely. Experience with web and app subscription billing and the events it sends. You've worked on a product where trust and tone really matter. What You'll Get Flexible job schedule and generous vacation policy. Direct impact on millions of worldwide users within months. Push the boundaries of applied AI in a consumer setting. Fully remote, able to work CET hours. To apply: https://weworkremotely.com/remote-jobs/replika-lifecycle-crm-specialist

Job Description Job Description Job description: This is a dual-role position requiring both AZ/DZ commercial driving and hands-on moving experience . The successful candidate will be responsible for safely operating company vehicles while also performing a variety of moving duties, including packing, wrapping, loading, unloading, and handling household goods. The role requires working as part of a moving crew and providing professional and courteous service directly to customers. Candidates must demonstrate strong driving skills, safe work practices, physical ability to handle household goods, and a high level of professionalism, reliability, and attention to detail. The ability to work effectively as part of a team and adapt to different job requirements is essential. Key Responsibilities: Perform daily pre-trip inspections and report any deficiencies Maintain accurate electronic log (ELD) documents and complete vehicle reporting promptly. Follow operational procedures and documentation requirements, reconciling discrepancies as needed. Routine communication with dispatch throughout the work shift Operate DZ or AZ vehicles in compliance with all regulations Load, unload, wrap, and pack household goods safely and efficiently Secure loads to prevent damage during transit Complete customer walk-throughs at origin and destination Maintain ongoing communication with dispatch Complete all required paperwork accurately and submit on time Maintain cleanliness and general condition of assigned vehicle Fluency in English language spoken and written Work Expectations: Physically demanding role (lifting 65+ lbs regularly) Work performed in residential, commercial, and high-rise environments Exposure to varying weather conditions Strong time management and ability to stay on schedule Professional appearance and customer-facing conduct required Requirements: Valid DZ or AZ license Minimum 2 years household moving experience Clean driver abstract Strong communication skills (English) Ability to work independently and within a team Commitment to company procedures and safety standards Compensation & Benefits: Full-time and part-time positions available Hourly pay based on experience Overtime opportunities Customer tips based on service quality Licence/Certification: Air Brake Endorsement (required) Work Location: In person \nCompany Description For over 98 years, Tippet Richardson has been more than just a moving company, it's been a trusted partner for families and businesses. Founded in 1927, our mission has always been to provide high-quality residential and corporate moving services in Toronto and the Greater Toronto Area (GTA). Through dedication and integrity, we have grown to become one of Canada's most respected and trusted name in the industry. Company Description For over 98 years, Tippet Richardson has been more than just a moving company, it's been a trusted partner for families and businesses. Founded in 1927, our mission has always been to provide high-quality residential and corporate moving services in Toronto and the Greater Toronto Area (GTA). Through dedication and integrity, we have grown to become one of Canada's most respected and trusted name in the industry.