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About the Team OpenAI's Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Production-ready deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Applied AI Engineer you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI's products evolve. This role is based in Paris. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees In this role, you will: Partner directly with enterprise and digital native customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria. Design, build, and deploy AI systems that solve important customer problems and produce measurable business outcomes. Work hands-on in code to build prototypes, evaluation harnesses, reference implementations, integrations, and production accelerators. Make sound technical decisions across models, agents, retrieval, tools, data, reliability, observability, latency, cost, safety, security, and governance. Diagnose complex implementation challenges, reproduce failures, test hypotheses, and drive blockers toward resolution. Help customers progress from promising prototypes to reliable production systems, sustained adoption, and scaled impact. Partner closely with customer engineering teams and OpenAI Product, Research, Engineering, Security, and go-to-market teams, translating deployment experience into high-signal product feedback. Create reusable architectures, tooling, playbooks, and technical guidance that accelerate future enterprise deployments. You might thrive in this role if you: Have a demonstrated track record of designing, building, and delivering AI or machine-learning systems in enterprise environments, including taking systems from prototype to production. Relevant backgrounds may include applied AI or ML engineering, forward-deployed engineering, software engineering, customer engineering, solutions architecture, product engineering or technical consulting. Are fluent in both French and English Can point to substantial personal contributions in code, architecture, evaluation, debugging, or engineering of production systems—not only program or stakeholder management. Are highly proficient in Python and comfortable working across an AI application stack; experience with JavaScript, TypeScript, or another relevant language is valuable. Understand how to evaluate AI systems systematically using representative data, graders, production signals, and human judgment. Have navigated enterprise production requirements such as integrations, reliability, observability, security, privacy, data governance, performance, and cost. Can connect technical decisions to customer workflows, adoption, and measurable business outcomes. Communicate with clarity and credibility across hands-on engineers, technical leaders, security teams, product leaders, and executives. Bring high agency, strong technical judgment, and end-to-end ownership in ambiguous environments. Learn quickly, challenge assumptions constructively, and collaborate with humility; experience in a particular industry or with OpenAI products is not required. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. Find Jobs in France on Arbeitnow

About Us At Axle Energy, we're building the infrastructure that will underpin the decarbonised energy system. Our software moves energy usage to times when electricity is cheap and green, by controlling vehicle charging, heating systems, and home batteries. We control hundreds of thousands of energy assets. We're building in a legacy industry and moving gigawatt-hours of electrons in the real world, but we operate at lightning speed, and we're growing the team to meet customer demand. We're proud to be supported by world-leading investors, including Energize Capital and Accel. Read more about what we're building here . About the role Software Engineers at Axle build the core infrastructure for connecting to distributed energy devices, orchestrating them, and allowing them to participate in electricity markets. This is a generalist Software Engineering role, encompassing product-engineering, devops, and data engineering. We encourage engineers to own as much of the problem-space as they can: you'll spend time talking to clients, getting feedback from users, and working closely with market operators. At Axle, we work in a deliberately flat structure. That means fewer layers, faster decisions, and more ownership for everyone. Software engineering at Axle looks like Forming a deep understanding of the domain & the business, so you have enough context to execute independently at speed Focusing on outcomes, not process, and taking ownership for the end product you ship into the world Managing your own time and those of others to adapt to changing scope and deadlines, delivering 80% of the value in 20% of the time Tech stack 🐍 We build in Python + React for the frontend 🐋 Everything we build lives in Docker, for minimal cross-platform faff and maximal reproducibility. 🤖 Unlimited Claude Code tokens - we are aggressive users and explorers of AI, and encourage everybody to reconsider their workflows regularly ☁️ We deploy on GCP What's in it for you A meaningful slice of equity in Axle, alongside a competitive salary, with total compensation ranging from £75k–£200k (base salary + equity). We operate with a deliberately flat structure and aim to keep pay equitable across the company, with a 1:1 median ratio between founder and team compensation. Enhanced parental leave to support you through life's meaningful moments. Bi-annual retreats to strengthen team connection & shared purpose. Hybrid working - We have a dog-friendly office around Farringdon. To maximize collaboration, we ask that you spend 2-3 days a week in the office. The opportunity to directly shape the future of energy markets and accelerate the transition to a low-carbon world. We are extremely keen to build a diverse company, and we're particularly eager to hear from candidates who don't fit the traditional role stereotypes. If you're motivated by our mission, please do reach out, even if you feel you might not 'check all the boxes'. Interview process Initial interview Remote pair programming Final interview (in-person) Offer, references, and welcome to the team! Compensation: £75K – £200K • Total Compensation (salary + equity) £75K – £200K Find Jobs in United Kingdom on Arbeitnow

Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that. Here's what this particular role covers. 🛠️ About our Map & Route Team Our Map & Route team sits within Wayve's Automotive Platforms division in Vehicle Software Engineering, and builds the geospatial foundations behind our AI driver. Working with global-scale data, the team turns road-network and navigation data into reliable products used across Wayve, building geospatial services and data products to support company operations. We work with our model development, experimentation, and evaluation platforms to build an AI driver that uses maps and navigation data like an expert human driver by using map information to enhance training and evaluation of performance. We are a full-stack team owning mapping end to end, getting to touch work that is infrastructure, data engineering, data science, backend and frontend. 🧠 Your day-to-day Write full-stack services in Python and Typescript, creating novel geospatial services to solve challenging and unique problems we face in building our AI driving products. Collaborate with internal teams to understand requirements and build solutions with global geospatial data. Design and build data pipelines with PySpark and Databricks to enrich fleet data with mapping and road-network information at global scale. Build applications and datasets that support route planning and the preparation of map data for training and simulation. Integrate with navigation and mapping APIs from providers such as Mapbox, TomTom and Google Maps. Maintain, support and improve the services the team already runs. Deploy and operate your services on Azure and Kubernetes, owning them end to end. 🧩 What you'll be working on Global-scale geospatial enrichment pipelines that tell us where we've driven and what the road network looks like. Route-planning applications and datasets that help our teams decide where to drive next. Map data preparation for model training and simulation. New services you'll take from idea to production and lead end to end. 🙌 You should apply if You are a strong, hands-on Python engineer who can deliver high-quality production code at pace. You are comfortable with an AI-assisted or AI engineering workflow (ideation, planning, implementation and review). You have built and operated large-scale data pipelines using Spark or PySpark. You are comfortable writing SQL to query and analyse large datasets. You have working knowledge of cloud infrastructure and container orchestration, ideally Azure and Kubernetes, and are happy to own deployment, monitoring, and observability of your services. You enjoy taking ownership of new services and seeing them through end to end. Experience with geospatial data processing, road-network data or routing engines (e.g. OpenStreetMap, TomTom, HERE or Overture data, PostGIS, navigation APIs) would be a strong advantage. Experience with Bazel or monorepo build systems is desirable but not mandatory. Experience with workflow orchestration tools such as Flyte or Airflow would be a bonus. 🌱 Not ticking every box? That's totally okay! If you're passionate about autonomy and keen to learn, we encourage you to apply even if you don't meet every requirement. More about Wayve: 🚀 Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines. Our ambition is to make autonomy universal. Wayve's mapless and hardware agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2 plus through to L4 as our core AI model scales. In a race increasingly defined by intelligence and real world learning, Wayve is taking a distinct approach, building a generalisable driving intelligence that can power any vehicle, anywhere. By combining embodied AI with scalable deployment, we are creating technology that can be shaped to each OEM brand and driver experience, accelerating the transition to a safer, more intelligent future of mobility. How we work 💻- Locations & Flexible Working: Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives. 🔍 The Interview Process: Our process is clear and respectful of your time: Initial call / recruiter screen (30 mins) Competency interviews : Python Programming (60 mins) and Hiring Manager interview (45 mins) Deep-dive technical interviews : Systems Design (60 mins) and Domain interview (60 mins) Final interview : Mission and Values Alignment (45 mins). We'll always explain the format and work around your availability. What's in it for you (Location dependant): 💰 Salaries benchmarked against the market annually 📈 Meaningful equity, sharing in the ownership and long term success of Wayve ✈️ Relocation support and visa sponsorship where applicable ✅ Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs 📚 Learning and development budgets with support for training, conferences and growth 🩺 Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more A quick, honest note before you apply. Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you'll help write it. That suits people who want real ownership more than people who need a settled structure from day one. If that sounds like the kind of problem you want to spend your time on, we'd really like to hear from you. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory. Find Jobs in United Kingdom on Arbeitnow

Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that. Here's what this particular role covers. 🛠️ About our Engineering Teams Robot Software builds the on-vehicle software platform that Wayve's AI Driver runs on. Within it, the Experiment Platform team owns the systems that let our researchers develop driving models on the road: deploying models to vehicles, running experiments, and collecting the data that trains the next model. The team builds a portable development platform that connects to partner vehicles and brings Wayve's model development capabilities to them, including data collection, experiment control, telemetry and over-the-air updates. It is used across our own fleet and on pre-production vehicles with OEM partners in Europe and Japan, and is central to how Wayve adapts its AI Driver to new vehicles. You will lead a team of engineers based in London, working alongside the Runtime Platform, OS, Sensors and Platform Integration teams in Robot Software. 🧠 Your day-to-day You will lead the team's people, plans and partnerships. Most of your time goes to your engineers: regular 1:1s, clear expectations, feedback, performance and promotion cycles, and helping technical leads take on more scope. You will work with your tech leads on technical decisions, own the outcomes, and make sure the team responds well when issues come up in the field. You will maintain the team's mission, charter and twelve-month roadmap, turn them into quarterly and six-week plans, and keep delivery on track. You will be the team's main point of contact for partner engineering teams, programme managers, operations and OEM customers, and you will make it clear what the team owns. You will stay technically capable and aware of the team's work across the codebase. You will monitor the architecture, guide the team through technical blockers when needed, and engage with technical leaders in other teams at a technical level. 🧩 What you'll be working on: Growing the platform: Take the development platform from its first stable release to a product used across many vehicle types, with predictable releases and validation in CI and on HIL benches. Experiment control and fleet orchestration: Own model and controller download, the robot state machine, and over-the-air deployment of software, configuration and calibration. Self-serve experimentation: Make the platform self-serve, so research teams can run their own experiments on vehicles without waiting for platform changes. Scaling data collection: Onboard and event-based logging, data quality, and data offload over New vehicles and OEM integrations: Deploy the full platform on Wayve's next-generation vehicles, and support new OEM integrations through configuration rather than new releases. Building the operating model around the platform: Releases, support rota, on-call, metrics and observability. Building the team: Own hiring and onboarding, and grow the team as adoption of the platform expands. 🙌 You should apply if: You have managed software engineering teams, including hiring, coaching and performance management. You have owned a platform or product that other teams or customers relied on, and shipped it to devices in the field. You are technically capable, with hands-on experience in embedded Linux systems software (C++ or Python), and stay close enough to the code to review your team's work, guide architecture and help resolve technical blockers. You understand connected device fleets, such as vehicles, robots or IoT, including data logging and offload, over-the-air updates and observability. You are comfortable leading delivery across many stakeholders, including external partners, and can engage with other technical leaders as a technical peer. You care about operational reliability and release quality. Experience with autonomous vehicles or robotics, automotive ECUs (for example NVIDIA Jetson or DRIVE, QNX), Yocto, IPC middleware such as ROS 2 or DDS, or containerised workloads on embedded systems is desirable. 🌱 Not ticking every box? That's totally okay! If you're passionate about autonomy and keen to learn, we encourage you to apply even if you don't meet every requirement. More about Wayve: 🚀 Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines. Our ambition is to make autonomy universal. Wayve's mapless and hardware agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2 plus through to L4 as our core AI model scales. In a race increasingly defined by intelligence and real world learning, Wayve is taking a distinct approach, building a generalisable driving intelligence that can power any vehicle, anywhere. By combining embodied AI with scalable deployment, we are creating technology that can be shaped to each OEM brand and driver experience, accelerating the transition to a safer, more intelligent future of mobility. How we work 💻- Locations & Flexible Working: Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives. This role is based in our London office. 🔍 The Interview Process: Our process is clear and respectful of your time: Initial call / recruiter screen (30 mins) Competency Interviews : leadership and management interview, and hiring manager interview; 2 hours total Deep-dive interviews : domain, systems design and code review interviews; 3 hours total Final interview : values alignment (30-45 mins) We'll always explain the format and work around your availability. What's in it for you (Location dependant): 💰 Salaries benchmarked against the market annually 📈 Meaningful equity, sharing in the ownership and long term success of Wayve ✈️ Relocation support and visa sponsorship where applicable ✅ Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs 📚 Learning and development budgets with support for training, conferences and growth 🩺 Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more A quick, honest note before you apply. Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you'll help write it. That suits people who want real ownership more than people who need a settled structure from day one. If that sounds like the kind of problem you want to spend your time on, we'd really like to hear from you. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory. Find Jobs in United Kingdom on Arbeitnow

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . What You'll Do: The Physical AI Engineering Team at CoreWeave is responsible for building and scaling the core platform that powers the world's most advanced engineering simulation and AI workflows. From evolving distributed architecture to enabling the next generation of agentic applications and physical AI, this team delivers the performant, reliable, and scalable foundation trusted by the world's largest engineering companies. About the role: We're seeking a Senior Software Engineer to help build and scale our platform as we meet growing demand from the world's largest engineering companies. This is a hands-on engineering role where you'll deliver critical features and services across the full software lifecycle – from design and testing to deployment, operations, and reliability. You'll contribute to our platform's evolution to a more distributed architecture, helping make it agentic ready for the next generation of AI applications. In this role, you will: Engineering & Architecture Contribute to the ongoing transition from monolithic to distributed architecture. Help design and implement architecture to be agentic ready, enabling rapid deployment of AI products and MCP server integrations. Make sound technical decisions for the components you own, balancing immediate needs with long-term goals. Hands-On Development Write production-quality Python code for critical platform components. Build and optimize distributed compute services. Implement reliable workflow orchestration patterns. Contribute to CI/CD pipelines, automated testing, and deployment for platform services. Support reliability, observability, and SRE practices (monitoring, alerting, incident response, performance and scaling). Team Mentorship & Collaboration Support and mentor engineers, sharing knowledge across the team. Follow and help improve engineering best practices and patterns. Collaborate with product and engineering peers to turn requirements into technical solutions. Contribute to technical decision-making and prioritization within your team. Interview and onboard new engineers. Who You Are: 6+ years of software engineering experience. Solid software engineering breadth across deployment and CI/CD, automated testing, and production reliability (observability, incident response). Experience with distributed systems, building and operating backend services end-to-end. Experience designing APIs and service interfaces. Security-minded development, including authentication/authorization (e.g., OAuth) and secure-by-default practices. Strong Python development skills with production experience. Experience with Kubernetes in production. Familiarity with workflow orchestration tools (Temporal, Airflow, Kubeflow, or similar). Cloud platform experience (AWS preferred, Azure & GCP a plus). Familiarity with data processing frameworks (Spark, Athena, Ray, or similar) a plus. Strong technical communication and collaboration skills. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. Technical Excellence: You write clean, maintainable code and design systems that scale. Operational Rigor: You care about testing, deployments, and what happens after code ships – reliability, monitoring, and on-call health. Pragmatic Problem-Solver: You balance perfectionism with shipping, making smart trade-offs between short-term delivery and long-term goals. Strong Leadership: You proactively identify problems and drive solutions forward. Mentorship Mindset: You elevate others through knowledge sharing and patient guidance. Ownership Mentality: You take full responsibility for outcomes and drive initiatives to completion. Customer Obsession: You understand that our success is measured by our customers' success. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The starting salary will be determined by job-related knowledge, skills, experience, and the market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process. Find Jobs in United Kingdom on Arbeitnow

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . What You'll Do: The Physical AI Engineering Team at CoreWeave is responsible for building and scaling the core platform that powers the world's most advanced engineering simulation and AI workflows. From evolving distributed architecture to enabling the next generation of agentic applications and physical AI, this team delivers the performant, reliable, and scalable foundation trusted by the world's largest engineering companies. About the role: We're seeking a Staff Software Engineer to help drive the architectural evolution of our platform as we scale to meet growing demand from the world's largest engineering companies. This is a hands-on technical leadership role where you'll drive critical architectural initiatives across the full software lifecycle – from design and testing to deployment, operations, and reliability – while mentoring our engineering team. Partnering with senior engineering leadership, you'll help shape and execute our platform's evolution to a more distributed architecture, making it agentic ready for the next generation of AI applications. In this role, you will: Technical Leadership & Architecture Drive the ongoing transition from monolithic to distributed architecture. Design and implement architecture to be agentic ready, enabling rapid deployment of AI products and MCP server integrations. Own technical decisions balancing immediate business needs with long-term architectural goals. Hands-On Development Write production-quality Python code for critical platform components. Build and optimize distributed compute services. Implement reliable workflow orchestration patterns. Own CI/CD pipelines, automated testing, and deployment strategy for platform services. Drive reliability, observability, and SRE practices (monitoring, alerting, incident response, performance and scaling). Team Mentorship & Collaboration Mentor senior and mid-level engineers, elevating the technical capabilities of the entire team. Establish engineering best practices and architectural patterns. Collaborate with product and business stakeholders to translate requirements into technical solutions. Guide technical decision-making and prioritization across multiple teams. Interview and onboard new engineers. Who You Are: 10+ years of software engineering experience, including time in a staff-level engineering role. Broad software engineering depth spanning deployment and CI/CD, automated testing, and SRE/production reliability (observability, incident response). Deep expertise in distributed systems architecture, including building and operating large-scale distributed backend systems end-to-end. Strong API and service interface design skills for distributed services. Security-minded development, including authentication/authorization (e.g., OAuth) and secure-by-default practices. Expert-level Python development skills with production experience at scale. Strong Kubernetes experience with production workloads. Hands-on experience with workflow orchestration tools (Temporal, Airflow, Kubeflow, or similar). Cloud platform expertise (AWS required, Azure & GCP beneficial). Experience with data processing frameworks (Spark, Athena, Ray, or similar). Track record of driving architectural transformations in growing companies. Excellence in technical communication and stakeholder management. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. Technical Excellence: You write clean, maintainable code and design systems that scale. Operational Rigor: You care about testing, deployments, and what happens after code ships – reliability, monitoring, and on-call health. Pragmatic Problem-Solver: You balance perfectionism with shipping, making smart trade-offs between short-term delivery and long-term goals. Strong Leadership: You proactively identify problems and drive solutions forward. Mentorship Mindset: You elevate others through knowledge sharing and patient guidance. Ownership Mentality: You take full responsibility for outcomes and drive initiatives to completion. Customer Obsession: You understand that our success is measured by our customers' success. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The starting salary will be determined by job-related knowledge, skills, experience, and the market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process. Find more English Speaking Jobs in United Kingdom on Arbeitnow

Thank you for considering Tailscale. If this job description resonates with you, please apply. Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications. We encourage you to help us break that statistic! About Tailscale Tailscale is making safe connection effortless by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We're building a future for the Internet that's easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital. About the Role We're seeking a talented and motivated full-time Software Engineer, AI Enablement to help Tailscale's engineering organization get the most out of AI-assisted development. You'll join a small, high-leverage team reporting to our co-founder, working alongside our first AI enablement engineer to build the tools, workflows, and practices that help every engineer at Tailscale build faster and more safely with AI. This is a foundational role — you'll have real latitude to shape what AI enablement means here as we scale, with direct visibility into how the whole engineering org adopts these tools. Key Responsibilities Partner with engineering leadership and Tailscale's technical staff to define and drive our internal AI-enablement roadmap. Work closely with the team building Aperture by Tailscale, our AI gateway used both internally and offered as a product. Build and iterate on the tools, workflows, and shared practices that help engineers get real value from coding agents — and evaluate new models and tools, making clear calls on what we adopt. Partner with engineering and non-engineering teams to find high-leverage opportunities to apply AI — this is a support function, so success means other teams shipping faster because of what you've built. Establish the guardrails, review practices, and documentation that make AI-generated code safe to ship, and act as the internal advocate who helps teams adopt good practices without mandating a single tool. Track adoption and measure the real impact of AI tooling on velocity and quality, and report back to leadership. What We Are Looking For 5+ years of professional software engineering experience Genuine, daily, hands-on fluency with modern AI coding tools (Claude Code, Codex, Pi, or similar) — real power-user experience, not occasional use Experience building and shipping internal tools or developer-facing automation Strong written and verbal communication and internal advocacy skills — comfortable teaching, writing, and influencing engineers at very different comfort levels with AI tooling A balanced approach — trying to get people to use AI effectively and safely where appropriate. We don't have an 'AI mandate'; we believe that if we make AI both easy to use and safe, people will choose to use it when appropriate. Comfort with ambiguity and self-directed prioritization on a small, still-forming team Product or systems thinking — able to identify and prioritize high-leverage opportunities, not just execute a pre-set roadmap Nice to Have Prior experience in developer experience, platform engineering, or internal tooling Experience evaluating or benchmarking LLMs and coding agents Experience with a systems language such as Go or Rust, in addition to Python Background in security or code-review practices — helpful for reasoning about AI/agent-generated code, though you don't need to be a security engineer Experience in developer relations, technical evangelism, or customer-facing developer advocacy — the same skills that make someone effective in external DevRel translate well to driving internal AI adoption Technical project management experience As a company, we strive to maintain fair and equitable compensation practices within our team across all roles and all levels. Tailscale's compensation package includes base salary, equity, and comprehensive benefits. The salary range displayed on each job posting represents the target range for a new hire's base salary. Individual offers may vary based on experience and skill set. UK Pay Range £128,770 — £178,540 GBP What We Offer An inclusive, flexible environment where you can be your authentic self. We recognize the impact of diverse voices and backgrounds on the growth of our people, product, and company. And that flexibility in how and when you work empowers our team to integrate work and life. A competitive total compensation package. This includes a base salary, an equity incentive plan and variable commission (for quota-based roles). Comprehensive group benefits with no waiting period. Take advantage of coverage for health, vision, dental, and more for you and your family! Remote first company —most of our teams work fully remotely. Enjoy a change of scenery wherever you can get wifi, participate in virtual and in-person social events, and leverage our corporate co-working program to visit WeWork (or other similar spaces near you). Some roles require in-office collaboration depending on team needs, which will be clearly noted in the job description. Employer-funded retirement contributions. Tailscale will match your retirement contributions dollar-for-dollar, up to a maximum annual employer contribution equal to 0.75% of your eligible compensation. Connect with other Tailscalars IRL. Attend our annual company retreat, participate in team off-sites, and collaborate in person with teammates across Canada, the United States, the United Kingdom, and Singapore. We support intentional in-person connection through team travel and distributed collaboration. Support for your personal and professional development. Grow your career thoughtfully with $1500 USD annually for professional development, or take advantage of mentorship, coaching, and internal promotion opportunities. Paid time off and a healthy work-life integration. Our flexible, paid time off program supports you for any situation life throws your way, whether moving homes or travelling the world! A build-your-own home office setup. You choose your own company-owned laptop (Mac or PC), receive a monthly home internet reimbursement, and $500 USD to customize your workstation to make it your own. Paid parental leave program . We care about your life outside of work and encourage new parents to take advantage of parental leave top-ups (20 weeks for birthing parents, 16 weeks for non-birthing parents). Tailscale is committed to providing an accessible and inclusive hiring process. If you require an accommodation at any stage of the recruitment process or related to any aspect of this role, please contact your recruiter. Our hiring process uses AI-assisted tools to help screen and assess candidates. All hiring decisions are made by people. Please be aware that legitimate emails from Tailscale's talent team will only originate from ----- ----- and ----- email addresses. For more information about protecting yourself from impersonators and scams, please visit https://tailscale.com/scam-awareness . Find Jobs in United Kingdom on Arbeitnow

About CuspAI CuspAI is the frontier AI company on a mission to solve the breakthrough materials needed to power human progress. While nature took billions of years to perfect molecules, we are harnessing AI to unlock trillion-dollar materials breakthroughs in months, not millennia. Our founding team is the most cited in the world, comprised of world-class researchers in AI, chemistry and engineering. We are working on some of the hardest and most important challenges including energy, clean water, the future of compute, and carbon capture, and this is just the start of what our 'search engine' for next-generation materials will unlock. We invite you to be part of a diverse, innovative team at the intersection of AI and materials science, working to create impactful partnerships that drive innovation, scalability, and industry collaboration. This work matters. Your work matters. We're on the cusp of the on-demand materials era. Join us. The Role Due to rapid growth, we are seeking a full-stack Product Engineer to lead the inception and development of our internal application suite, serving as the foundational architect for the tools our world-class researchers use every day. Note that you would be joining as a 'Member of Technical Staff', but the indicative job title above hopefully helps to explain the nature of this role. The role will be part of our Platform Engineering organisation. Your Impact In this role you will be building the internal product ecosystem that streamlines and curates our proprietary discovery workflows, which is critical for accelerating our mission to solve global challenges through next-generation materials. Your main focus initially will be partnering with our VP of Product to define and build the first generation of internal applications from scratch, ensuring they are not just functional but curated as high-quality products. Over time, you will likely get involved in scaling these systems to support increasingly complex interdisciplinary data flows and potentially external-facing interfaces as our "search engine" for materials evolves. What You Will Do Product Inception & Internal Tooling Lead the development of a suite of internal applications, treating them as first-class products with a focus on usability and long-term scalability. Collaborate closely with the VP of Product to translate high-level research needs into technical roadmaps and intuitive software solutions. Own the end-to-end lifecycle of internal tools, from initial architecture and backend design to frontend deployment. Full-Stack Development & Platform Integration Design and build robust backend services in Python to interface with our core AI and research engines, integrating disparate workflows into a unified, high-performance internal platform. Partner with the Data Engineering team to ensure seamless ingestion and visualisation of complex datasets within internal applications. Develop clean, responsive UIs that enable researchers to interact with complex data effectively, maintaining a high bar for intuitiveness and reducing cognitive load for technical users. Interdisciplinary Collaboration Work closely with AI Researchers and Data Engineers to understand the nuances of their daily tasks and build tools that empower them. Collaborate with the broader engineering team to ensure internal tools align with our overall infrastructure and security standards. Must Have Skills and Qualifications: You have at least 4+ years of professional experience in full-stack software engineering, with a proven track record of building and maintaining production-grade applications. You possess strong backend expertise, specifically with Python and modern web frameworks (e.g. FastAPI, Django, or Flask). You are proficient with Node.js and modern frontend frameworks (e.g. React, Vue, or TypeScript) and have a keen eye for UI/UX best practices. You are a "builder" at heart who enjoys the greenfield stage of a project and is comfortable making architectural decisions from scratch. You have a product-focused mindset, meaning you don't just "write tickets" but actively think about how to make the user's life easier. You are excited by the prospect of enabling world-changing scientific discovery, even if you don't have a background in the sciences yourself. Bonus Points (But Not Critical): Experience working in an early-stage startup environment where you've had to wear multiple hats. Previous experience building internal tools, dashboards, or "Admin" interfaces for data-heavy companies. Knowledge of modern DevOps practices and cloud infrastructure (e.g. GCP, Docker, Kubernetes). An academic background or personal interest in Materials Science, Chemistry, or Sustainability. Additional Considerations This role could be based in our Cambridge, London, Amsterdam or Berlin offices, with the expectation of being in the office three days per week. Additionally, there may be regular travel required to other locations for collaboration and project work. What We Offer A competitive salary: We value and reward impact and growth Equity in CuspAI: You have a stake in the success of the company Time off to stay fresh: 28 days holiday (DE, NL, UK) or 21 days holiday (JP, SG, US), in addition to local public holidays 'Gold Standard' parental leave: 26 weeks (primary caregiver) and 12 weeks (secondary caregiver) at full pay - we look after you and your family while we work on the most important materials discovery problems together Professional development budget: We invest in your career development so you can stay up to date with the latest industry knowledge or add to your skills to increase impact and growth Solve meaningful problems: See how your work has a direct impact on advancing materials science and solving sustainability and climate-related problems through the creation and application of bleeding-edge SOTA technology and revolutionary techniques True interdisciplinary teamwork: Be part of a deeply collaborative environment bridging AI research, computational chemistry, and experimental science - work with world-class researchers and engineers who enjoy sharing knowledge and supporting each other Join us in shaping the future of materials with AI. Together, we can create groundbreaking solutions for a more sustainable world. CuspAI is an equal opportunities employer committed to building a diverse and inclusive workplace . We do not discriminate on the basis of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding), veteran status, or any other basis protected by applicable law. We actively encourage applications from all backgrounds and value the unique perspectives and contributions that diversity brings to our team. Please let us know if you require any specific adjustments during or after the interview process. We will do everything we can within reason to accommodate. Find more English Speaking Jobs in United Kingdom on Arbeitnow

Location: Bristol, UK Start date: September 2027 Application deadline: Midnight 29 th November We encourage you to apply early, as we may close applications before the advertised deadline. The Graduate Programme at Graphcore Join Graphcore in a permanent role and start your career with two years of hands-on learning. From day one, you'll be trusted to take ownership, share your ideas and help shape what we're creating. You'll tackle challenging problems alongside a team who support your development and are as excited about your success as you are. What you'll work on Put your engineering knowledge to work on how advanced AI hardware moves from design into manufacture. As a Manufacturing Operations Graduate, you'll support silicon packaging and printed circuit board assembly production in Taiwan. You'll analyse performance data and use test design to investigate hardware and software issues, helping improve quality, cost and delivery. You'll also contribute to quality planning, audits and process control, alongside component selection and bill of materials management. Your team and support You'll join Manufacturing Operations in Bristol, working alongside Product Test, Quality and Supply Chain. Colleagues across the UK, Taiwan and India collaborate with design teams and development partners to solve manufacturing challenges. Experienced engineers and operations specialists will support you as you contribute to decisions guided by data and customer requirements. Bring your questions and ideas, listen to other perspectives and explore better ways of doing things. Take responsibility for your work and speak up when you spot a problem or need support. How you'll learn and grow During the two-year programme, your graduate rotation will show you how engineering decisions affect the finished product and its journey through a global supply chain. You'll develop the judgement to compare approaches and weigh up trade-offs, alongside project management and communication skills as you organise your work and explain your findings. What we're looking for Bachelor's/Master's degree in Mechanical or Electrical Engineering, Physics or a related field Knowledge of semiconductor design and manufacturing principles, and an understanding of design and manufacturing principles for printed circuit board assemblies and servers Experience using tools such as Python, Linux, Bash and Git Data analysis skills, with the ability to explain findings and support decisions using evidence You can demonstrate these skills through coursework, a dissertation, laboratory work, research, personal or team projects, or other relevant experience. Tell us what you built or investigated, how you approached it and what you learned. Benefits Flexible working: Balance your work and personal life with greater flexibility Retirement planning support: Up to 5% matched pension Phantom equity: Share in Graphcore's success Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones Electric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We're an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we're happy to support you. Sponsorship Applicants must already have the right to work in the UK for the full duration of the programme, without requiring visa sponsorship. We are unable to sponsor work visas for our Early Careers opportunities. Introduction to Graphcore At Graphcore, we're building next generation AI compute: from semiconductors and software to systems at datacenter scale. We are proud to be owned by SoftBank Group and work with other companies in the SoftBank family to deliver AI compute to customers working at the AI frontier. Starting your career here means working alongside people with different backgrounds and expertise, from AI researchers to chip designers and software engineers. You'll learn from each other, bring fresh ideas and help solve challenging problems together. How to apply and what to expect To apply, answer the application questions below and upload your CV and cover letter. We'll let you know the outcome of your application by early December at the latest. If successful, you'll be invited to complete a technical assessment. Candidates who reach the final stage will then be invited to attend in-person assessments in early spring. Ready to put your learning into practice? Start your career in a permanent Manufacturing Operations Graduate role, with two years of hands-on learning through the Graphcore Graduate Programme. Apply now and help shape what comes next. Find Jobs in United Kingdom on Arbeitnow

Tayco is looking for one enthusiastic and passionate individual to join our growing and dynamic Commercial Space Design Team at Etobicoke. Tayco is a modern office furniture manufacturer where each individual makes a large impact. We are looking for someone who is aligned with our core values of Ownership, Progressive, Efficient, and Enjoyable Experiences. POSITION SUMMARY By providing the customer with design solutions, product recommendations, and pricing information in a timely manner, and by working closely with the sales team to grow existing customers and develop new customer base, the Commercial Space Designer strives to increase the company sales and customer satisfaction. Requirements Demonstrate a solid understanding of Tayco?s offerings and finished in order to competently facilitate the order process. Maximize sales and Customer satisfaction through quotation process. Generates approximately 90 quotes per month and/or manages ½ a territory. Contact the Customer to gather project information, specification, and requirements in order to recommend specific products or solutions. Prioritize quotation requests by dealer tiers established by the sales team, requested date by customer, as well as first in first out basis. Plan 2D and 3D drawings, coloured renderings and prepare parts list based on the information provided / gathered. Filter Special requests through Engineering Decision Tree . Consult Engineering department for any custom requests and prepare engineering items if necessary. Review and check drawings and parts list for accuracy. Obtain material up-charge information from purchasing or engineering, as necessary. Present the customer with final drawings, pricing and any other additional information related to the specific project. Proactively recommend items needed by customers to increase customer satisfaction and improve transaction profitability. Increase sales and average order size by means of cross-selling, up-selling, add-on sales and offering promotional sale items. Educate customers about terminology, features and benefits of products in order to improve product related sales and customer satisfaction. Coordinate with Customer Service and Order Analysts for the smooth transition from quote to order. Works as a team player to covers orders and territories for Team Members when they are away. Other duties as assigned. QUALIFICATIONS Degree, Diploma, or Certificate from a post-secondary institution; or two years experience in any of the following: Interior Design, Industrial Design, Engineering, or any related field. Previous Project Management experience is considered an asset. Ability to read, interpret, and re-create documents such as Architectural Drawings/Floor Plans and written specifications. Must have knowledge of computers and related programs such as CET, Auto CAD, 20-20, Giza, Rendering software or other related programs. Must also have a working knowledge of Microsoft Word, Excel/Lotus, Giza and have experience using E-mail. Have the capacity to learn new computer programs, be able to adapt to a changing environment, and handle multiple tasks. Must have a clear, polite and friendly speaking manner, excellent phone skills, and possess good listening, spelling and grammar skills in order to communicate effectively and efficiently. Must possess good organizational skills, have a good attention span, pay attention to detail, and be able to prioritize workload. Ability to work as a team and communicate with co-workers. Must have leadership skills and empathy. Ability to add, subtract, multiply, and divide in all units of measure, using whole numbers, common fractions, and decimals. <

Education: Other trades certificate or diploma. or equivalent experience. Work site environment: Outdoors. Interior. Work setting: Office. Commercial and/or industrial construction. Management. Budgetary responsibility: $500,001 - $1,500,000. Tasks: Coordinate subcontractors activities . Evaluate daily operations . Plan and organize daily operations. Prepare and submit construction project budget estimates. Hire and supervise activities of subcontractors. Plan and prepare construction schedules and milestones and monitor progress. Operate CADD and other computer software systems. Read blueprint, schemas and drawings. Plan and manage budgets. Ensure compliance to drawings, specifications and building codes. Supervision: 5-10 people. Certificates, licences, memberships, and courses : Construction Trade Certification. Computer and technology knowledge: AutoCAD. MS Excel. MS Outlook. Equipment and machinery experience: Hand tools. Construction specialization: Industrial, commercial and institutional. Area of specialization: Project management. Security and safety: Driver's validity licence check. Transportation/travel information: Valid driver's licence. Own vehicle. Work conditions and physical capabilities: Tight deadlines. Attention to detail. Personal suitability: Efficient interpersonal skills. Excellent oral communication. Excellent written communication. Flexibility. Judgement. Organized. Team player. Values and ethics. Accountability. Screening questions: Do you have experience working in this field?. Do you have the required certifications listed in the job posting?. Do you meet the language requirements listed in the job posting for the position (English or French)?. Experience: 3 years to less than 5 years. Employment terms options: Day. Health benefits: Dental plan. Disability benefits. Health care plan. Vision care benefits. Other benefits: Free parking available.

About the Job: Infoya is looking for an experienced Senior Automation Engineer with strong expertise in test automation , database testing, ETL validation, and data pipeline testing. The ideal candidate will have hands-on experience working with cloud-based data platforms, complex data architectures, and business intelligence solutions. The candidate will be responsible for ensuring data accuracy, integrity, consistency, reliability, and performance across enterprise data pipelines and analytical platforms . Office Location: Toronto Employment Type: Permanent Role Type: New position ? current requirement Work Arrangement: Hybrid (2 days in office) Position Responsibilities: Test Automation (Mandatory) Design, develop, and maintain automated testing frameworks for database, ETL, and data pipeline validation. Develop reusable automated test scripts using Python, SQL, or equivalent technologies. Automate source-to-target reconciliation, data quality checks, schema validation, and regression testing. Integrate automated tests into CI/CD pipelines. Improve test coverage, execution efficiency, and overall QA productivity through automation Database Testing & Data Validation Design and execute comprehensive database testing strategies for complex enterprise applications. Perform advanced SQL-based validation, including complex joins, aggregations, stored procedures, and data reconciliation. Validate data integrity, completeness, accuracy, and consistency across source and target systems. Conduct backend testing using PostgreSQL and StarRocks. Identify data quality issues, transformation defects, and performance bottlenecks. ETL & Data Pipeline Testing Validate end-to-end ETL/ELT workflows, including data extraction, transformation, loading, and reconciliation. Test batch and streaming data pipelines for accuracy, completeness, and reliability. Validate transformation rules, data mappings, business logic, and aggregation calculations. Perform incremental load, full load, duplicate detection, and data consistency testing. Verify error handling, recovery mechanisms, and data pipeline dependencies. Cloud & Data Platform Testing Work with Google Cloud Platform (GCP) to validate cloud-based data processing and storage solutions. Perform data validation across PostgreSQL, StarRocks, and other enterprise data platforms. Test data ingestion, processing, transformation, and integration workflows. Collaborate with Data Engineers, Cloud Engineers, and Developers to troubleshoot data-related issues. Business Intelligence & Reporting Validation Validate Tableau dashboards, reports, KPIs, and analytical outputs. Reconcile dashboard data against underlying databases and source systems. Verify business rules, filters, aggregations, calculations, and reporting accuracy. Ensure consistency between analytical data layers and business reporting. Performance Testing (Good to have know