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About ActAI There are over 5 billion users using basic applications today such email, notes, tasks, calendar and they're not AI-native. Our mission is to build proactive applications for anyone in the world, who are not used to complex prompting. We aim to bring intelligence to conversations, errands, organising and workflows, with minimal to no prompting. Our product focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. We believe products will greatly reduce hallucinations. Our objective is to organise anyone's life, allowing us all to spend time on valuable and meaningful things. Role As an iOS Software Engineer, you own the iOS client experience, how AI feels, responds, and performs in users' hands. This is not a thin integration role. You will build a production-grade iOS application where AI interactions are central to product experience, and performance, reliability, and user trust are critical. Focus Build and maintain iOS applications using Swift and SwiftUI. Integrate AI-powered features through backend APIs. Design UX patterns for AI interactions, including loading states, streaming responses, retries, and fallbacks. Optimize performance, memory usage, and battery efficiency. Capture user signals and feedback to support AI evaluation and iteration. Collaborate closely with backend and ML engineers on API design and system behavior. Maintain high App Store quality, stability, and production reliability. Ideal Experiences 3+ years of iOS development experience using Swift. Hands-on experience integrating AI-powered features into mobile apps. Strong understanding of async/await, concurrency, and background tasks. Solid iOS performance and memory optimization skills. Experience shipping and maintaining production iOS apps. Comfort designing for latency, partial failure, and non-deterministic AI behavior. Exposure to CoreML or light on-device ML. Familiarity with feature flags or remote configuration systems. Strong intuition for AI UX patterns and user trust considerations. Outcomes Stable, smooth, and reliable real-world use iOS applications. Performance is optimized: responsive, low-latency, and efficient on memory and CPU. Production issues are detected early, monitored effectively, and resolved with clear root-cause analysis. Tech Stack Swift SPM SwiftUI SQL / noSQL TensorFlow Lite (on-device inference) How We Work The best products today in the world were built by small, world class teams. We are a high talent density and hands-on team. We make decisions collectively, move at rapid speed, striking a balance between shipping high quality work and learning. Joining our team requires the ability to bring structure, exercise judgment, and execute independently. Our goal is to put in hands of our users a truly magical product Interview process If there appears to be a fit, we'll reach to schedule 3, but no more than 4 interviews. Applications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite. We value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us. This isn't just a job offer; it's an invitation to be part of a team that's bringing AI to have practical benefits to billions globally. Find more English Speaking Jobs in Germany on Arbeitnow

SeatGeek believes live events are powerful experiences that unite humans. With our technological savvy and fan-first attitude we're simplifying and modernizing the ticketing industry. The SupportX team is dedicated to building the future of fan support. We treat support as a product, owning the full end-to-end experience- from AI-powered chat and voice interactions to agent tooling, self-service deflection, and integrations with SeatGeek's order management, fulfillment and financial systems. We are in the process of building new foundations which will boost fan outcomes driven by our AI support agent, increase self-service rates, reduce contact volumes, and empower our human experts to deliver highly effective white-glove service. As manager, you'll be the technical leader of this effort, guiding the team as we define, build and optimize a support experience for fans that is truly best-in-class. Your role will be critical in shaping the team's roadmap, enhancing fan outcomes and driving faster, more efficient support workflows. What you'll do Manage a team of Backend, Frontend and applied AI and automation engineers Own the technical vision for SeatGeek's core support tools (both custom + Saas) and integrations Rapidly build and iterate tools to boost fan experience, and maintain a high standard of operational excellence across the platform Perform code and architecture reviews, and provide technical and design feedback to the team Provide regular job performance feedback, hold one-on-ones, and provide career development support to your direct reports Work with your Technical and Product counterparts to form a compelling vision and direction for the team that aligns with organizational and business goals Select new and work with existing technology vendors when necessary. You constantly make build or buy decisions together with your team At times, roll up your sleeves to deliver features and iterate across the platform Communicate technical and product decisions to the right people, resolve blocking issues, and collaborate with other leaders across the organization Play an active role in our recruiting process, helping us grow our engineering team in any way you can What you have 5+ years as an engineer in a role that was mostly about writing code 2+ years of experience as an engineering manager of productive, motivated teams Proven track record leading teams to ship industry-leading UX that meaningfully elevates high-stakes customer experiences Preferred if you've contributed to end-to-end customer support experience software at a marketplace product organization You've successfully built and led lean teams, ensuring they're productive, motivated, and capable of delivering impactful results You're able to foster safe, collaborative & inclusive environments, where engineers feel empowered to do their best work You're comfortable operating without a playbook — defining the architecture, the team's ways of working, and the roadmap simultaneously You're able to break down complex technical concepts and explain them clearly to non-technical audiences, accurately representing the team's work to a wide range of stakeholders Knowledge of the technology industry and customer support tools + workflows to help your team make good tooling and framework decisions to set them up for success You understand how to lead by setting context, facilitating collaboration, and getting buy-in between cross functional partners in product, design, engineering and leadership You've worked as an Engineer in the past, are familiar with the challenges of that role, and preferably have had hands-on experience with the following: Custom tools to increase support agent efficiency and create delightful fan outcomes AI agent optimization - building the tools, methods, workflows of an empowered + effective customer service agent Our stack Experience with every technology listed isn't expected, we've included them for transparency. What matters most to us is your core engineering skills and ability to learn, not deep expertise in any one tool or language. Languages: Python (FastAPI), Go, C# (.NET Core), React+Typescript, Swift, Kotlin Infrastructure: AWS, Kubernetes, ArgoCD, Datadog, Gitlab Datastores: Aurora (Postgres), ElastiCache (Memcached), OpenSearch, DynamoDB Streaming & workflows: Kafka, Flink, Airflow, Temporal Saas: Workato, Customer Support / Help Center tools (Zendesk, Sierra) AI Tooling: Claude Code, Codex, LLMs Perks Equity stake Discretionary annual bonus Flexible work environment, allowing you to work as many days a week in the office as you'd like or 100% remotely A WFH stipend to support your home office setup Unlimited PTO Up to 16 weeks of fully-paid family leave 401(k) matching Student loan matching program Health, vision, dental, and life insurance Up to $25k towards family building, reproductive health services and Gender-affirming care $500 per year for wellness expenses Subscriptions to Headspace (meditation), Headspace Care (therapy), and One Medical $360 per quarter to spend on tickets to live events Annual subscription to Spotify, Apple Music, or Amazon music The salary range for this role is $171,000 - $248,000 USD. This role is equity eligible. In addition, you may receive a discretionary annual bonus based on individual and company performance. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, certifications, and specific location. SeatGeek is committed to providing equal employment opportunities to all employees and applicants for employment regardless of race, color, religion, creed, age, national origin or ancestry, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by federal, state, or local law. As an equal opportunities employer, we recognize that diversity is a positive attribute and we welcome the differences and benefits that a diverse culture brings. To review our candidate privacy notice, click here . #LI-Remote

Set a new pulse for healthcare! We are looking for a Senior Inference Engineer to join the ML Platform (TIGER) team in AI & Machine Learning . Your mission will be to power Doctolib's AI-driven healthcare products — from Consultation Assistant to Phone Assistant and Health Companion — by owning the self-hosted LLM serving platform that keeps the most sensitive patient data within infrastructure Doctolib controls. You will build and operate the shared foundations that every AI feature team relies on: deploying, tuning, and scaling open-weight models across our GPU fleet, contributing directly to faster, safer, and more cost-efficient AI for care teams and patients across Europe. Working in the tech team at Doctolib means building innovative products and features to improve the daily lives of care teams and patients. What you'll do Your responsibilities include but are not limited to: Build the shared LLM serving foundations with MLOps engineers — define the serving stack, GPU capacity planning, and deployment automation for open-weight models (Gemma, Mistral, Llama, Qwen, and their fine-tuned variants) on Ray Serve / Anyscale, while shaping the evolution toward Kubernetes-based orchestration Own the model registry and promotion path — establish clear processes for versioning, validating, and promoting models into production, benchmark performance and output quality under realistic workloads, and maintain the curated model catalog together with the Agents Platform team Optimize inference performance and efficiency — operate and tune serving engines (vLLM, Triton Inference Server, TensorRT-LLM) to reduce time-to-first-token, inter-token latency, and cost per token through batching, caching, quantization, and parallelism strategies across our GPU fleet (L4 to H200) Own production reliability and disaster recovery — define SLOs, run load tests before launches, implement safe rollouts, rollbacks, and autoscaling, and participate in on-call and incident response Make serving performance and costs measurable — build Datadog dashboards, alerting, and cost reporting to track latency, GPU utilization, and inference spend, and identify opportunities to improve resource efficiency Keep the inference stack secure, compliant, and evolving — work with Security and Privacy on network isolation, data residency, and auditability, while continuously assessing new models, serving engines (such as SGLang), and GPU generations Who you are Before you read on: if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply. You'll be a great fit if you: Have 5+ years of software or computer engineering experience, including hands-on production experience with at least one LLM serving engine (vLLM, SGLang, TensorRT-LLM, TGI, or Triton) — ideally having chosen, introduced, tuned, or scaled one in production, not just run it with defaults Are proficient in Python and Terraform, with a solid understanding of transformer inference mechanics: prefill vs. decode, KV cache, batching strategies, and why a model is compute- or memory-bound on a given GPU Have strong experience running GPU workloads on Kubernetes or a managed Ray / Anyscale platform, and a performance engineering mindset — you design reproducible benchmarks, read profiler output, and back decisions with numbers Are comfortable owning production reliability: observability, incident response, and on-call are a natural part of the role Have excellent communication and collaboration skills, high agency, a pragmatic build-vs-buy approach, and are comfortable working in a scope that is still taking shape Are fluent in English It would be fantastic if you: Have experience with distributed serving frameworks (KServe, llm-d, NVIDIA Dynamo), including disaggregated prefill/decode or KV-cache-aware routing, or with serving Mixture-of-Experts, multimodal models, or many LoRA adapters on shared base models Have GPU kernel experience or deep profiling skills (CUDA, Triton, Nsight), or have contributed to open-source inference projects Have experience in regulated environments (healthcare, finance, public sector) and with frameworks such as GDPR, HDS, ISO 27001, or SOC 2 Our stack Programming languages: Python, plus comfort reading/debugging a systems language (C++, Rust, or Go) Cloud providers: GCP / AWS / Azure Serving orchestration: Ray Serve / Anyscale (GCP), with Kubernetes (GKE) + GPU scheduling as an emerging parallel target LLM serving engines (in production): vLLM, Triton Inference Server, TensorRT-LLM (also evaluating SGLang and other emerging engines) Models: Self-hosted open-weight LLMs (Gemma, Mistral, Llama, Qwen), fine-tuned in-house Experiment tracking & model registry: MLflow GenAI gateway: LiteLLM LLM evaluation & observability: Braintrust GPUs: NVIDIA L4, A10G, L40S, RTX 6000 Pro, A100 (40GB/80GB), H200 Container / Infra as code: Docker, Terraform, Helm, Kustomize Observability: Datadog Data warehouse / storage: GCP BigQuery / GCS / AWS S3 And any other tool you deem relevant! Life at Doctolib Tech Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to country and healthcare specialty requirements. Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native. We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here . Want to learn more about our tech culture and environment? Visit the Doctolib Tech site . What we offer Free comprehensive health insurance (basic package) for you and your children 25 days of paid vacation per year, plus up to 14 days of RTT Free mental health and coaching services through our partner Moka.care Work from abroad for up to 10 days per year thanks to our flexibility days policy Lunch vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib A subsidy from the work council to refund part of the membership to a sport club or a creative class 50% reimbursement of your public transport subscription ParentCare Program: Enjoy full salary coverage (100%) during your first month of birth leave and 75% during the second, covered by Doctolib Enrollment in Doctolib's long-term employee value sharing plan called DoctoGrowth For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support Relocation support in case of international mobility Access to the best AI tools for coding, development and dedicated training Our interview process HR interview by phone (45 minutes) Hiring manager interview (1 hour) Technical case study (1 hour) Behavioral interview (1 hour 30 minutes) At least one reference check We want your experience to be clear, respectful, and transparent. Learn more about our hiring process on our candidate experience page . Job details Permanent position Tech stack: Python, vLLM, TensorRT-LLM, Triton, Ray Serve Full-time Paris, France Hybrid work setup (up to 2 remote days per week) Start date: as soon as possible We welcome everyone At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination. The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, or disability. To ensure equal opportunities, we invite you to exclude personal information (e.g., pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process. Join us in building the healthcare we all dream of! Your data privacy All information provided is processed by Doctolib for application management. For data processing details, click here: France . Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights. Find Jobs in France on Arbeitnow

L'équipe Price Hub recrute à Nantes : rejoins-nous comme Software Engineer Java/Kafka ! 7 millions d'événements Kafka par jour, des pics à plusieurs dizaines de millions, avec un objectif clair : zéro perte. Tu nous aides à tenir ce cap ? Chaque jour, dans plus de 2 000 magasins et plus de 70 pays, des millions de prix changent. Une erreur, c'est un client mal servi, un magasin en difficulté et de la confiance perdue. Notre rôle : identifier et transmettre le bon prix, au bon moment, sans erreur, partout dans le monde. Nos 2 produits critiques tournent 24/7, avec un SLA supérieur à 99,9 %. Autour d'eux, 4 autres produits exploitent les données de vente et proposent des leviers de dynamisme commercial aux magasins. Tu rejoindras une plateforme event-driven qui évolue en continu pour répondre à des enjeux de performance, de résilience et de qualité. Au sein de l'équipe, tu contribueras concrètement à cette ambition en développant et en faisant évoluer nos produits. TA FUTURE CONTRIBUTION Tu conçois, développes et maintiens des fonctionnalités backend en Java ou Kotlin, en lien avec les besoins produit. Tu participes à la conception de solutions robustes pour nos systèmes distribués et nos flux Kafka. Tu contribues à la qualité du code par les tests, les revues de code et le partage de bonnes pratiques. Tu prends part aux décisions techniques de l'équipe et documentes les choix importants. Tu participes à l'amélioration continue de la performance, de l'observabilité et de la résilience de nos services. Tu contribues à l'exploitation de nos produits en production : investigation, suivi des alertes et résolution des incidents, avec le soutien de l'équipe. Tu travailles en étroite collaboration avec les Software Engineers, le Product Manager, l'Engineering Manager, le QE et le Support Engineer. STACK TECHNIQUE Java, Kotlin Kafka, architecture event-driven, microservices, APIs REST PostgreSQL, Valkey (cache) Docker, Kubernetes GitHub Actions (CI), Flux (GitOps / CD) Datadog (monitoring et alerting) Bonus : React CE QUE TU APPORTES Une expérience significative en développement backend, avec une solide pratique de Java ou Kotlin. Une première expérience avec Kafka, ou une forte envie de progresser sur le streaming et les systèmes distribués. Le souci de produire un code lisible, testé et maintenable. Une sensibilité aux enjeux de performance, de disponibilité et de fiabilité en production. Une première familiarité avec Docker, Kubernetes, la CI/CD ou l'observabilité. L'envie d'apprendre, de partager tes idées et de contribuer aux décisions techniques de l'équipe. Un anglais professionnel (B2) pour collaborer avec des équipes dans le monde entier. CE QUE NOUS T'OFFRONS Un impact concret et visible : ton travail compte dans les magasins Decathlon du monde entier. Une culture de la performance et de l'autonomie inspirée d'Accelerate : Kanban, livraison continue et amélioration continue de nos produits. Plus de 20 livraisons en production par semaine, avec un cycle time moyen de moins de 4 jours sur l'année. GitHub Copilot avec les derniers modèles d'IA, et Gemini, dans ton quotidien de dev. Un mode de travail hybride et flexible, avec des bureaux à Nantes. Du matériel au choix (Mac, Windows ou Chromebook). Des certifications techniques dès la première année, des conférences externes (DevFest…) et de grandes conférences tech internes, du temps dédié à la veille et une mobilité internationale possible. Une rémunération attractive, avec des bonus mensuels et trimestriels et l'actionnariat salarié. Tu ne coches pas toutes les cases ? Postule quand même, on en discute. DECATHLON DIGITAL Imaginez si la technologie nous permettait de repousser les frontières et d'offrir des expériences sportives inédites. C'est précisément notre ambition chez Decathlon Digital ! Nous sommes une équipe de plus de 5 000 experts en ingénierie logicielle, gestion de produits, données, cloud et cybersécurité, répartis à Paris, Lille et Amsterdam. Ensemble, nous créons la plus vaste plateforme sportive numérique, en exploitant les innovations technologiques pour optimiser la chaîne de valeur, concevoir des expériences connectées et donner une seconde vie à nos produits. Changeons la donne pour de bon. Notre passion du sport nous guide et nous voulons qu'elle perdure. C'est pourquoi nous nous engageons à bâtir un modèle technologique plus durable, en réduisant notre impact direct sur l'environnement, et en créant un espace sûr et inclusif pour apprendre et nous épanouir ensemble. Rejoins l'équipe et façonnons le futur du sport. Find Jobs in France on Arbeitnow

Set a new pulse for healthcare! We are looking for a Senior Agents Platform Engineer to join the ML Platform (TIGER) team in AI & Machine Learning . Your mission will be to build the platform that lets every feature team at Doctolib declare an agent once — and get a production-grade, secure, and compliant AI agent by default. You will work on the foundational layer that powers Consultation Assistant, Phone Assistant, Health Companion, and more: a shared agent runtime, a unified GenAI gateway, and the observability and evaluation infrastructure that makes it all trustworthy — contributing directly to safer, faster, and more reliable AI for patients and care teams across Europe. Working in the tech team at Doctolib means building innovative products and features to improve the daily lives of care teams and patients. What you'll do Your responsibilities include but are not limited to: Own the agent manifest and registry — design the single declarative specification (skills, tools, memory, model, guardrails, sandbox, security) that wires any new agent into the full platform automatically, triggerable from product surfaces, other agents (A2A), schedules, or workflows Own the GenAI gateway end to end (built on LiteLLM) — manage routing (including KV-cache-aware routing), failover, metering, cost attribution, reserved-capacity pooling, and guardrails across self-hosted (vLLM) and managed providers, serving several hundred million requests per month Operate the infrastructure for long-running, streaming agent interactions — build production-grade reliability for SSE/WebSocket connections, queueing and retries, human-in-the-loop approvals, and snapshot/resume, in a sandboxed execution environment consistent with our existing application runtime Build feature-flagged, progressive rollout for prompts, models, and configs — including an emergency kill-switch and the audit trail that lets agents act safely on sensitive healthcare data Own reliability for the agents platform end to end — define SLOs, lead on-call and incident response, and build runbooks including provider failover for the GenAI gateway Build the observability and evaluation layer — online traces and logs, offline evals (LLM-as-judge plus patient and practitioner simulators) gating CI, and the compliance-grade audit trail for health data Validate the platform by shipping one or two reference agents yourself before product teams adopt it, and advise feature teams on agent architecture trade-offs Who you are Before you read on: if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply. You'll be a great fit if you: Have 5+ years of software engineering experience, including hands-on production experience building or operating LLM-based agent systems (Google ADK or similar), with a solid understanding of agent design patterns: planning/reflection loops, tool calling, state and memory management, multi-agent coordination, and human-in-the-loop checkpoints Have experience with agent interoperability and tool protocols (MCP, A2A, AG-UI), control-plane concepts for asynchronous or long-running systems (queueing, retries, checkpointing), and feature-flagging or progressive-rollout systems including reliable kill-switches Have experience managing cost and capacity for LLM usage — routing, caching, and reserved-capacity planning with managed model providers Are comfortable owning production reliability (SLOs, incident response, on-call) and are security-minded when designing sandboxing, permission scoping, and audit trails for autonomous systems acting on sensitive data Have excellent communication and collaboration skills, high agency, a pragmatic build-vs-buy mindset, and are comfortable working in a founding role where shaping the right scope is part of the job Are fluent in English It would be fantastic if you: Have experience giving agents richer identity, memory, and knowledge (long-term memory, artifact stores, or RAG pipelines), ideally in partnership with a data platform team, or experience building a feedback loop that turns production traces into evaluation datasets Have experience building Kubernetes-native abstractions (CRDs/operators) to manage an agent's lifecycle declaratively, and/or with durable stateful execution engines (e.g. Temporal) for long-running workflows Have experience in regulated environments (healthcare, finance, public sector) and with frameworks such as GDPR, HDS, ISO 27001, or SOC 2 Our stack Programming languages: Python, plus comfort with TypeScript/Go for agent SDKs and tool integrations Cloud providers: GCP / AWS / Azure Agent orchestration & runtime: Google's Agent Development Kit (ADK), running as services on our application platform Agent protocols: MCP, A2A, and AG-UI Feature flags / progressive rollout: Flagd (or similar), including the emergency kill-switch GenAI gateway: LiteLLM (owned end-to-end by this team) — routing, failover, metering, cost attribution, guardrails, reserved-capacity pooling (Azure OpenAI PTUs, Vertex AI GSUs, AWS Bedrock Provisioned Throughput) Experiment tracking & model registry: MLflow LLM evaluation & observability: Braintrust and Datadog LLM Observability, plus distributed tracing for tool calls and agent decision paths Container / Orchestration: Kubernetes (GKE / EKS), Docker, Helm, Kustomize Infrastructure as code: Terraform Observability: Datadog And any other tool you deem relevant! Life at Doctolib Tech Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to country and healthcare specialty requirements. Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native. We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here . Want to learn more about our tech culture and environment? Visit the Doctolib Tech site . What we offer Free comprehensive health insurance (basic package) for you and your children 25 days of paid vacation per year, plus up to 14 days of RTT Free mental health and coaching services through our partner Moka.care Work from abroad for up to 10 days per year thanks to our flexibility days policy Lunch vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib A subsidy from the work council to refund part of the membership to a sport club or a creative class 50% reimbursement of your public transport subscription ParentCare Program: Enjoy full salary coverage (100%) during your first month of birth leave and 75% during the second, covered by Doctolib Enrollment in Doctolib's long-term employee value sharing plan called DoctoGrowth For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support Relocation support in case of international mobility Access to the best AI tools for coding, development and dedicated training Our interview process HR interview by phone (45 minutes) Hiring manager interview (1 hour) Case study & case restitution (1 hour) Behavioral interview (1 hour 30 minutes) At least one reference check We want your experience to be clear, respectful, and transparent. Learn more about our hiring process on our candidate experience page . Job details Permanent position Tech stack: Python, LiteLLM, Google ADK, Kubernetes Full-time Paris, France Hybrid work setup (up to 2 remote days per week) Start date: as soon as possible We welcome everyone At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination. The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, or disability. To ensure equal opportunities, we invite you to exclude personal information (e.g., pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process. Join us in building the healthcare we all dream of! Your data privacy All information provided is processed by Doctolib for application management. For data processing details, click here: France . Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights. Find more English Speaking Jobs in France on Arbeitnow

Position #: 101165 Expected Start Date: To be determined; posted until filled Union: HSAS Facility: Cypress Regional Hospital City/Town: Swift Current Department: Physiotherapy Type: Full-time regular FTE: 1 Shift Information: Days Number of Hours per Rotation: 14 shifts of 8 hours per 3 weeks Relief: No Float: No Hours of Work: Standard Hours Salary or Pay Band: Pay Band Physical Therapist - Degree $40.187 to $49.255 Travel Required: Yes Job Description: The Physical Therapist provides assessment and treatment of patients and clients of all ages with cognitive and/or physical impairments in the clients home and/or the clinic setting as per therapy protocols and best practice guidelines. The successful candidate must possess well-developed interpersonal skills, have the ability to take initiative and work independently with a positive and supportive attitude in a team environment. "Preference for this position will be given to HSAS members in accordance with the terms and conditions of the SAHO/HSAS Collective Agreement" Human Resources Exemption: No Education- Bachelor of Science in Physical TherapyLicenses- Registered Physical Therapist (PT)- Valid Class 5 driver's licenseCompetencies- Advanced - Verbal communication skills- Advanced - Writing skills- Intermediate - Orthopedic skills- Intermediate - Respiratory skillsKnowledge and Abilities- Ability to build and maintain effective relationships/partnerships- Ability to work independently- Ability to recognize and maintain confidential information- Ability to prioritize work- Ability to develop and deliver formal education programs- Ability to work as a member of a multi-disciplinary teamOther Information- May be eligible for Recruitment and/or Retention Incentives- HSAS seniority in the SHA will be considered under the selection criteria- For more info...For more information on this job, please visit the employer's website.

Position #: 194124 Expected Start Date: Posted until Filled, To be Determined Union: HSAS Facility: Shaunavon Hospital and Care Centre City/Town: Shaunavon Department: Physiotherapy Type: Full-time regular FTE: 1 Shift Information: Days Number of Hours per Rotation: 28 shifts of 8 hours per 6 weeks Relief: No Float: No Hours of Work: Field Hours Salary or Pay Band: Pay Band Physical Therapist - Degree $40.187 to $49.255 Travel Required: No Job Description: The Physical Therapist provides assessment and treatment of patients and clients of all ages with cognitive and/or physical impairments in the client's home and/or the clinic setting as per therapy protocols and best practice guidelines. "Preference for this position will be given to HSAS members in accordance with the terms and conditions of the SAHO/HSAS Collective Agreement" Human Resources Exemption: No Experience- Two years experience with treatment of Outpatient Orthopedics/Community TherapyEducation- Bachelor of Science in Physical TherapyLicenses- Valid Class 5 driver's license- Registered Physical Therapist (PT)Competencies- Basic - Communication skills- Basic - Listening skills- Intermediate - Respiratory skills- Basic - Organizational skills- Basic - Writing skills- Basic - Leadership skills- Basic - Verbal communication skills- Intermediate - Orthopedic skills- Basic - Interpersonal skillsKnowledge and Abilities- Ability to work independently- Ability to work as a member of a multi-disciplinary teamOther Information- Registered/eligible with the Saskatchewan College of Physical Therapists (SCPT)- Shaunavon is located approximately 108 km southwest of Swift Current- For more information on the town of Shaunavon please visit https://www.shaunavon.com/- May be eligible for Recruitment and/or Retention Incentives- Registered/eligible for m...For more information on this job, please visit the employer's website.

About RA Resident Advisor has been a home for electronic music culture since 2001. Event discovery, ticketing, news and long-form editorial, artist profiles, original films, and a weekly mix series two decades deep. Around 7 million people use the web platform every month, with a wider audience across our apps and other channels. Underneath the platform sits a network of contributors and city managers across dozens of cities, which is how we stay connected to the scenes we cover rather than reporting on them from a distance. RA is 25 years old, independent, B.Corp certified and intent on being indispensable to the artists, promoters and audiences who make this culture. Purpose of the role As our Senior QA Engineer, you'll look after the quality of ra.co , our iOS and Android apps, and RA Scan, the app promoters use to scan tickets at the door. You'll work across five product teams. Each team writes and runs its own tests. You'll help them do it well, keep the automated test suites healthy, and test the riskiest releases yourself. Some of what we ship carries real risk: payments, checkout, and getting people into venues on the night. Other changes are a line of copy. You'll help us tell the two apart and test each one accordingly. We use AI tools across development, and you'll help the teams use them to write better tests, faster. Key responsibilities Keep the web end-to-end test suite healthy: fix flaky tests, add coverage for new features, and make sure a failing suite gets fixed quickly Grow automated testing for our iOS and Android apps and RA Scan with the app developers, so mobile tests run on every change Test high-risk releases yourself, such as payments and checkout, including edge cases and what happens when things fail Review the test plans teams write, and help them improve Use AI tools to write and maintain tests, help developers do the same, and check what the tools produce Brief our external testing partner and review the results they send back Report bugs clearly, and follow them through with developers and product managers Track a few simple measures, such as bugs that reach production and how reliable the automated tests are We're looking for Several years in QA or test engineering, typically four or more, testing web and mobile products Hands-on test automation: you've built and maintained automated tests that run in CI, for web (for example Playwright, Cypress or Selenium) and ideally mobile. We use XCUITest on iOS and Espresso with Kotlin on Android Enough coding to write and fix tests alongside developers, in a language such as JavaScript, TypeScript, Kotlin or Swift You can test APIs and check data with SQL Good judgement about risk: what to test deeply, what lightly, and what not at all You've used AI tools in your testing work, and know where they help and where they don't Clear writing: bug reports and test plans other people can act on If you meet most of these but not all, we'd still like to hear from you. Nobody arrives with all of it, and we'll help you grow into the rest. Nice to have CircleCI or a similar CI tool Working with an external testing partner Payments, checkout or ticketing systems Testing apps used at live events, with poor networks Test management tools such as Qase or TestRail What we offer you Generous annual leave policies aimed at promoting work-life balance. Matched pension, or 401k for US staff. Comprehensive staff wellbeing initiatives, featuring regular activities and workplace programmes to support mental and physical health. This includes discounted ClassPass memberships and custom-fitted earplugs. Company-led social events, team lunches, and discounts on merch. Paid annual volunteering allowance, encouraging contributions to community projects and charities you care about. A transparent internal company culture committed to diversity, equity, and inclusion (see: https://ra.co/about/diversity ). Active involvement in community projects within the electronic music community (see: https://ra.co/about/community ). More about RA We are independent and we intend to stay that way. 25 years in, RA answers to the culture it came from rather than to outside stakeholders. That is what enables us to make decisions on a long-term basis. Our staff, contributors and international teams are not observers. They are part of the scenes we cover, and that is what we hire for. Craft first, and then a genuine stake in this music rather than just a job in it. RA has been B Corp certified since 2024, which holds us to standards on social and environmental impact we would want to meet regardless of the badge. We especially welcome applicants from diverse backgrounds, abilities, ethnicities, experiences, gender identities, and sexual orientations. Our values Electronic music is art. We celebrate the progressive values that underpin electronic music. We advocate for a more inclusive and equitable electronic music community. We honour the past, present and future of electronic music. We use innovation to empower the community. We choose honesty over gain and purpose over profit. We're always front left. Listing details This role is a full-time, permanent position, based in Berlin. Please note: this position requires applicants to be based in Berlin and to work from the office three days per week. The annual salary range for this role is €60,000 to €72,000. If you have questions about the role, please contact Find Jobs in Germany on Arbeitnow

About Us Teton is redefining the role of healthcare workers through cutting-edge AI technology and a great product experience. As populations gets older and a shortage in staff, healthcare system is under pressure. Our missions is to decrease the cost of healthcare while improving the quality of care. Our product enables careteams to intervene, prevent and operator more efficiently. Our ambient sensors in resident rooms captures activity, sleep, respiration, gait and more. These signal used for both react fast to risk events, like falls, and long term health analysis, for care teams to take actions. Teton is scaling fast, operating in Nordics, UK, DACH and US. Recently raised 20M $$ series A. Expect travel to the US, to meet users and team members. We focus relentless on product excellence and user experience, deploying solutions at speed that make a tangible difference for cares. We are an aspiring meritocracy biased towards action, striving to always raise the bar. If you are driven by impact, speed and leveling up, this might be the place for you. If you are looking for a 9-17 job, perform best with structure and struggle dealing with unknowns, this is not for you. We believe close collaboration between a hard working, high agency team enables the fastest and most efficient iteration cycles, helping us build an impactful product that healthcare professionals truly love to use. The Job We're looking for a talented and driven Software Engineer to join our Mobile team building the tools that care workers rely on during every shift. Our app runs 24/7 in care facilities delivering real-time alerts and monitoring residents. This isn't a typical app dev role. You'll work across the full stack, from React Native UI to backend infrastructure, in an environment where reliability directly impacts patient safety. In this role, you will focus on: Feature Development: Own features end-to-end from design discussions through implementation to production rollout across multiple markets and languages. Reliability & Debugging: Keep our real-time alert pipeline rock-solid. Debug push notification delivery on Android and iOS, investigate ANR issues, troubleshoot weird bugs in care environments with unreliable Wi-Fi. Backend, Infrastructure & Systems: Work across backend services, databases, cloud infrastructure, and internal platforms to support the systems our app depends on. You will not just consume APIs, you will help shape, improve, and fix the systems behind them. Testing & Validation: Build automated test coverage (e.g. Maestro for E2E) across a range of devices and OS versions. Validate that alerts arrive when they must. Developer Experience: Improve shared components, internal tooling, and build pipelines so the team ships faster with fewer surprises. Qualifications: Strong TypeScript skills - this is the language for everything we build. Solid experience with React Native and Expo in production. Comfortable working across the stack : you've touched databases, queues, or cloud infra not just UI. Experience with native iOS or Android development (Kotlin/Swift) is a strong plus we occasionally need to go below the managed Expo layer. Familiar with real-time systems, push notifications, or TanStack is a plus. AWS or equivalent cloud platform experience. Previous startup experience and/or shipping a product where you owned the outcome. Strong problem-solving skills and ability to work both independently and in a team. What We Offer Participation in our warrant program (stock options). A small team where your decisions directly shape the product. Work on software that healthcare workers depend on every day, the impact is tangible and immediate. Join Our Team We're looking for individuals who share our vision and value ownership and entrepreneurship over a conventional job. At Teton, you'll have the chance to make a real impact with your work. If you're ready for more than just a job, come aboard and be part of our mission to transform healthcare. Find Jobs in United Kingdom on Arbeitnow

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The International Accelerator Engineering team is growing, and we're looking for a Senior Software Engineer to join us! We're a full-stack team located entirely in Europe within the same time zone, but culturally rooted in Silicon Valley. We directly improve the financial lives of over 20 million people shaping how Affirm builds Direct-to-Consumer products for Canada, the UK, and future international markets. We build and own various products used by our consumers, like the Affirm App and other Direct to Consumer products across international markets. We are here to make sure we reach and provide useful tools to our users so they can experience honest financial products at their fullest. Our work is agile and fast-paced, shipping new code to production for millions to use across geographies and rigorously measuring the impact it has on them. This role rewards curiosity, ownership, ability to zoom in and out, switch contexts often, also in an open contribution model, and a builder's mindset. You'll know exactly what your objectives are, you'll have what you need to hit them, and you'll choose your own path to get there, while constantly looking for ways to get AI to increase productivity on a daily basis. You'll learn quickly from experienced teammates and grow your craft on problems that matter at scale. If you want to build something new and operate it at scale – come join us! What You'll Do: · You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery. · You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. · You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them. · You will support the operations and availability of your team's artifacts by creating and monitoring metrics, escalating when needed, and supporting "keep the lights on" & on-call efforts. · You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks. · You will help develop talent on your team by providing feedback and guidance, and leading by example. What We Look For: · You have a total of 4+ years of experience as a software engineer. · You are experienced in designing, developing and launching backend systems at scale technologies like Python, Kotlin, AWS, MySQL, and Kubernetes. · You have experience shipping web apps using declarative UI frameworks like React or Vue. - You efficiently use AI to assist you to deliver high quality products on a daily basis · You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others. · You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely. · Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. · You have strong verbal and written communication skills that support effective collaboration with our global engineering team. Compensation & Benefits Base Pay Grade - N Equity Grade - 5 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidised medical coverage, dental and vision for you and your dependents.) Base pay range per year: £120,000 - £168,000 Location: UK Remote #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We're committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we're happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described. Find more English Speaking Jobs in United Kingdom on Arbeitnow

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The International Accelerator Engineering team is growing, and we're looking for a Software Engineer to join us! We're a full-stack team located entirely in Europe within the same time zone, but culturally rooted in Silicon Valley. We directly improve the financial lives of over 20 million people shaping how Affirm builds Direct-to-Consumer products for Canada, the UK, and future international markets. We build and own various products used by our consumers, like the Affirm App and other Direct to Consumer products across international markets. We are here to make sure we reach and provide useful tools to our users so they can experience honest financial products at their fullest. Our work is agile and fast-paced, shipping new code to production for millions to use across geographies and rigorously measuring the impact it has on them. This role rewards curiosity, ownership, ability to zoom in and out, switch contexts often, also in an open contribution model, and a builder's mindset. You'll know exactly what your objectives are, you'll have what you need to hit them, and you'll choose your own path to get there, while constantly looking for ways to get AI to increase productivity on a daily basis. You'll learn quickly from experienced teammates and grow your craft on problems that matter at scale. If you want to build something new and operate it at scale – come join us! What You'll Do: · With the support of your team's tech lead and manager, you will break down larger projects into individual tasks, deliver them in multiple phases, and collaborate with others to ensure timely delivery of your work. · You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. · You will support the operations and availability of your team's artifacts by creating and monitoring metrics, escalating when needed, and supporting "keep the lights on" & on-call efforts. · You will contribute to a sense of community on your team by engaging in growth and development activities such as participation in the interview process. What We Look For: · You have a total of 1.5+ years of experience as a software engineer. · You have experience shipping web apps using declarative UI frameworks like React or Vue. · You have experience designing, developing and launching APIs at scale using languages like Python or Kotlin. · You have mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood, well tested and extensible code. · You are comfortable navigating a large code base, debugging others' code, and providing feedback to other engineers through code reviews. · Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. · You have strong verbal and written communication skills that support effective collaboration with our global engineering team. Compensation & Benefits Base Pay Grade - L Equity Grade - 4 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidised medical coverage, dental and vision for you and your dependents.) Base pay range per year: £101,000 - £149,000 Location: UK Remote #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We're committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we're happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described. Find Jobs in United Kingdom on Arbeitnow

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Identity at Affirm is mission-critical; it is the very first step of the customer journey and the foundation of global expansion. The International Expansion Unit (IEU) owns Identity for every market outside North America, placing our team at the center of Affirm's global strategy. We are responsible for ensuring Affirm can enter and scale in new markets while operating compliantly across diverse regulatory environments. Our scope includes building and expanding Identity Data Management, KYC Verification, and Decisioning capabilities, while driving architectural changes that impact Identity services globally. We don't just execute; we influence the core platform's evolution to support new risk models and market dynamics. Operating at the intersection of technical depth and regulatory complexity, we directly impact approval rates, conversion, and fraud exposure. By joining this team, you will shape the foundational processes that unlock revenue and build customer trust on a global scale. What You'll Do · You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects. · You will collaborate across teams in the product development lifecycle by collaborating with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed. · You will act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes. · You take ownership of your team's operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, polcities, testing and alerting in place to support "keep the lights on" & on-call efforts. · You will foster a culture of quality and ownership on your team by setting code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks. · You will help develop talent on your team by providing feedback and guidance, and leading by example. What We Look For · You have 8+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin. · You have an extensive track record of developing highly available distributed systems using technologies like AWS, MySQL, Spark and Kubernetes. · You have experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan. You write high quality code that is easily understood and used by others. · You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work. · Your growth and impact trajectory demonstrates that you have mastered gathering and iterating on feedback from your engineering and cross-functional peers. · You have strong verbal and written communication skills that support effective collaboration with our global engineering team. Pay Grade - P Equity Grade - 7 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). GBR base pay range per year: £142,000 - £190,000 Location - Remote UK #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We're committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we're happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described. Find Jobs in United Kingdom on Arbeitnow