Find Your Dream Career

Department / Business Unit Baines Simmons /Operations Reports To Operations Director Direct Reports None Grade / Band Graduate Location UK Hybrid (Bracknell) Employment Type Full-time Budget Responsibility None Purpose of the Role TrustFlight's Operations department delivers a high volume of aviation safety training, consultancy, and compliance services to clients globally. As the business scales, the administrative and coordination burden across scheduling, travel, contracting, and client communications has grown significantly. This role exists to identify, design, and implement digital and AI-powered solutions that automate and streamline the operational workflows underpinning consultant scheduling, travel logistics, contractor management, and client-facing communications — including course joining instructions, certificates, course materials, and Microsoft Teams setup. The AI & Digital Solutions Engineer will act as the bridge between operational need and technology capability, transforming manual, repetitive processes into scalable, intelligent workflows that free the wider team to focus on high-value delivery. Whilst Operations is the primary focus, the role will also extend AI and automation capability into Business Development and Product, supporting pipeline workflows, proposal generation, and product feedback processes as the function matures. Scope & Decision-Making Authority Design, build, and deploy automation solutions for agreed operational workflows using AI and no-code/low-code tooling, within a structured support framework during the initial onboarding period. Select and recommend appropriate tools and platforms for workflow automation, within agreed budget parameters and subject to IT governance sign-off. Propose and pilot new digital solutions with line manager oversight, progressing toward greater autonomy as experience and confidence develop. Escalate to Operations Director for significant new vendor contracts, material changes to client-facing communications, or solutions that touch personal or sensitive data. Cross-functional coordination with Training Delivery, Consulting, Client Success, Business Development, and Product teams to gather requirements and implement agreed solutions. Scope covers Operations as the primary function, with cross-functional remit extending to Business Development and Product from day one. Key Relationships Internal Operations Director — regular check-in on priorities, solution sign-off, and strategic alignment. Operations Coordinators, Admins & Consultants — day-to-day requirements gathering, testing, and adoption support for new workflows. IT & Engineering — technical governance, data security review, and integration support where required. Senior Leadership Team — periodic reporting on operational efficiency gains and automation ROI. Business Development Team — automation of proposal generation, CRM workflows, and pipeline reporting. Product Team — digital tooling support for product feedback loops, release communications, and internal reporting. External Training & Consultancy Clients — automated and semi-automated communications for joining instructions, certificates, course materials, and Teams invitations. Contractors & Freelance Consultants — digital onboarding, contracting, scheduling notifications, and engagement management. Software & Platform Vendors — procurement, configuration, and ongoing management of automation and scheduling tools. Key Responsibilities Audit and map current operational workflows — including consultant scheduling, travel booking, contractor contracting, and client communications — to identify automation and AI opportunities. Design and build end-to-end digital workflows using AI tools, automation platforms, and scheduling systems to reduce manual effort across the Operations team. Implement intelligent scheduling solutions for consultant time allocation, ensuring visibility of availability, conflict resolution, and automated notifications to all parties. Automate the full client communication lifecycle for training and consultancy engagements, including generation and dispatch of joining instructions, course materials, Teams meeting invitations, and post-course certificates. Build and maintain a digital contractor management workflow covering sourcing triggers, contract generation, engagement tracking, and payment milestone coordination. Own the technology stack for Operations automation — evaluating tools, managing licences, and ensuring solutions remain fit for purpose as the business evolves. Champion adoption of new digital workflows across the Operations team, providing training, documentation, and ongoing support. Monitor solution performance, identify failure points, and continuously improve automations to increase reliability and coverage. Support the Business Development team with AI-assisted proposal workflows, CRM automation, and pipeline visibility tooling to accelerate the sales cycle. Collaborate with the Product team to design and implement digital solutions that streamline product feedback collection, internal reporting, and release communication processes. Key Metrics for Success Within 90 days: Full audit of operational workflows completed and an automation roadmap agreed with the Operations Director. Within 6 months: At least 3 core workflows automated (e.g. consultant scheduling notifications, client joining instructions, contractor contract generation), with measurable reduction in manual processing time of ≥40%. Within 12 months: End-to-end automation coverage across scheduling, travel coordination triggers, client communications, and contractor onboarding, delivering a quantified saving of ≥60 hours/week for the Operations team. Client communication error rate (wrong materials, missed invites, late certificates) reduced to <1% of engagements. Stakeholder satisfaction score of 4+/5 from internal Operations team on quality and usability of implemented solutions. Deliver at least one agreed automation solution for each of Business Development and Product within the first 12 months. AI & Digital Competency TrustFlight is an AI-first organisation. Every role is expected to actively engage with AI tools and digital ways of working to drive efficiency, quality, and innovation. AI Fluency Tier Tier Profile Expectations Tier 3 — AI Builder ✓ Develops and integrates AI-powered solutions Builds, fine-tunes, or integrates AI/ML models and pipelines. Establishes evaluation frameworks for AI systems. Ensures responsible AI practices (fairness, transparency, data governance). Contributes to TrustFlight's AI strategy. Role-Specific AI & Digital Skills Design and deploy AI-assisted scheduling systems that intelligently match consultant availability to client demand, accounting for skills, location, and travel constraints. Use LLM-powered tools to auto-generate personalised client communications — joining instructions, Teams invites, course materials packs, and post-course certificates. Build AI-assisted contractor matching and contract generation workflows, reducing turnaround time from requirement to signed agreement. Apply AI tools for document classification and routing — ensuring the right materials reach the right clients at the right time. Leverage AI-powered analytics to surface operational bottlenecks and recommend process improvements proactively. AI Development & Growth Complete TrustFlight's AI fluency onboarding programme within first 30 days. Share automation wins, prompt libraries, and AI use cases with the wider team on a quarterly basis. Actively participate in TrustFlight's internal AI community of practice, contributing Operations-specific use cases and learnings. Competencies & Behaviours Innovation — Proactively identifies and implements technology-driven improvements; comfortable experimenting with new tools and approaches. Delivery Focus — Takes ownership of solutions end-to-end; balances speed of iteration with stability and reliability of outputs. Collaboration — Builds trust with non-technical stakeholders; listens carefully to operational needs before designing solutions. Customer Centricity — Keeps the client experience and consultant wellbeing central to every workflow decision. Analytical Thinking — Breaks down complex, multi-step processes into logical components; uses data to prioritise and validate improvements. Adaptability — Thrives in a fast-moving environment; adjusts priorities readily as operational needs evolve. Working Arrangements Working Hours 37.5 hours per week, core hours 09:00–17:00 Work Pattern Hybrid — minimum 3 days office (Bracknell) for first 6 months, 2–3 days thereafter Travel Requirements None Anticipated On-Call / Shift Work None Special Conditions Right to work in the UK required Required Qualifications & Experience A degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Information Systems, or a closely related technical discipline — achieved or expected at 2:1 or above. Demonstrated academic study of AI and machine learning concepts, including LLMs, automation, or intelligent systems — evidenced through coursework, dissertations, modules, or equivalent self-directed learning. Ability to demonstrate understanding of how AI tools can be applied to real-world process automation, through academic projects, coursework examples, or personal study. Familiarity with at least one automation or no-code/low-code platform (e.g. Make, Power Automate, n8n, Zapier) — whether through university projects, personal experimentation, or placement experience. Comfortable working analytically with data and processes — able to break down a workflow logically and identify where technology can add value. Strong communication skills — able to translate technical concepts for non-technical colleagues and listen carefully before designing solutions. Organised, reliable, and able to manage competing priorities — follows through on commitments and flags issues early. Desirable Skills & Experience Placement year, internship, or part-time experience in a technology, operations, or business environment. Hands-on experience integrating LLM APIs (e.g. Anthropic Claude, OpenAI GPT) in a project or academic context. Familiarity with the Microsoft 365 ecosystem, particularly Teams, as a communications and workflow platform. Exposure to APIs, webhooks, or data integration between SaaS platforms. Experience with document generation tools or CRM platforms. Awareness of UK GDPR and data privacy considerations as they apply to automated communications and personal data. Interest in or knowledge of aviation, professional services, or regulated industries. Find more English Speaking Jobs in United Kingdom on Arbeitnow

Menlo Security is the leader in Browser Security for human and agentic workforces. Our mission is to enable humans and agents to connect, communicate, and collaborate securely, without compromise. The Menlo Browser Security Platform protects organizations from cyberattacks by stopping threats across the web, documents, and email before they reach the user. With Menlo Agent Runtime Security (MARS), that protection now extends to the AI agents working alongside every employee. Menlo Security is trusted by major global businesses, including Fortune 500 companies and government agencies, to protect their most valuable asset, their data, and is backed by top-tier investors. Summary Menlo Security is hiring a Senior Software Engineer to join our Threat Protection and ShadowAI team in the UK. This team ensures that users can safely browse the web through Menlo's secure cloud — protecting them from malicious sites (including those built or operated with AI) and securing access to authorised web applications. The services this team builds are core to Menlo's secure enterprise browser for both humans and AI agents, which puts you at the centre of one of the most active problems in enterprise security right now: how organisations gain visibility into and control over unsanctioned AI usage without blocking it entirely. The team applies AI in how it builds as well — code assistants, AI-assisted test generation, and LLM-supported log and incident analysis — so you will be using these tools alongside defending against their misuse. Outcomes & KPIs Key Outcome(s) Owned: Reliable, performant delivery of Threat Protection and ShadowAI services that detect and control risky web and generative AI application usage for Menlo customers. End-to-end ownership of assigned features, from design through production operation and iteration. Success Metrics / KPIs: (drafted for hiring manager review and adjustment) Service availability and latency for owned components meet or exceed team SLOs. Features delivered on committed roadmap dates, with quality measured by post-release defect and rollback rates. Automated test coverage maintained or improved on owned code paths. Detection accuracy for AI application and malicious site coverage, measured by false positive and false negative rates. Mean time to detect and resolve production issues in owned services. What You'll Do Design, develop, and own new features and services in the Threat Protection and ShadowAI product area, contributing directly to Menlo's technical roadmap. Build highly available, scalable distributed systems and APIs, including multithreaded and asynchronous applications, with performance and security considered from the start. Build and refine the detection and policy capabilities that give customers visibility into generative AI and unsanctioned web application usage in their environments. Participate in building, deploying, and operating the Menlo Security platform in production, using dashboards, error reporting, metrics, and AI-assisted log and trace analysis to identify and resolve defects quickly. Use AI code assistants and AI-assisted test generation as part of your normal workflow to move faster, while applying your own judgement on correctness, security, and maintainability before anything ships. Partner with product, security, operations, and other cross-functional stakeholders to align on requirements, tradeoffs, and schedules. Write unit and automated tests, conduct code and design reviews for peers, and evaluate emerging technologies that could improve our products. Functional Competencies Required: 3-5 years of professional software development experience with one or more of NodeJS, Go, or Python. 3-5 years of hands-on experience with cloud services such as GCP and/or AWS. Working experience with Linux and standard development tooling such as git. Degree in Computer Science or a related field (BE, BTech, or Masters), or equivalent practical experience. Practical fluency with AI coding and debugging assistants, including sound judgement about when to rely on LLM output and when to verify it independently. Self-directed approach to problem solving, with the ability to pick up unfamiliar systems and technologies with limited guidance. Preferred / Nice to Have: Experience building large-scale web applications and REST APIs. Strong grounding in complex data structures and database technologies. Experience with containers, Docker, and Kubernetes. Experience with cloud infrastructure as code tooling such as Terraform. Familiarity with the Tornado web application framework and test automation. Track record of adapting and improving engineering practices such as test-driven development, continuous delivery, agile ceremonies, automation, and maintainable, testable code. Interest in or exposure to security, threat detection, or AI governance and safety. MSGL-I4 Follow us on LinkedIn ! Why Menlo? At Menlo, we don't settle for the status quo — in our technology or our culture. How we think and act is just as important as what we build. Our culture is defined by five core mindsets: Proactive Leadership , Straight Talk , United Impact , Elevated Talent , and Customer-Compelled . We take ownership and drive outcomes without waiting to be told. We communicate directly and seek hard truths. We break down silos and win together. We hold a high bar for ourselves and the people around us. And we treat every customer interaction as mission-critical. If you're someone who sees it, owns it, solves it, and does it — you'll thrive here. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability . TO ALL AGENCIES: Please, no phone calls or emails to any employee of Menlo Security outside of the Talent organization. Menlo Security's policy is to only accept resumes from agencies via Ashby (ATS). Agencies must have a valid services agreement executed and must have been assigned by the Talent team to a specific requisition. Any resume submitted outside of this process will be deemed the sole property of Menlo Security. In the event a candidate submitted outside of this policy is hired, no fee or payment will be paid. Find Jobs in United Kingdom on Arbeitnow

Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow®. Astro accelerates building reliable data products that unlock insights, unleash AI value, and powers data-driven applications. Trusted by more than 800 of the world's leading enterprises, Astronomer lets businesses do more with their data. To learn more, visit www.astronomer.io . About this role: At Astronomer, we're redefining how companies run Apache Airflow at scale. Our R&D organization is home to some of the most innovative minds in cloud infrastructure and open-source software. We're looking for a Senior Software Engineer to join our Platform Engineering team. You get to go in at the ground level of how our production infrastructure is designed, built, tested and deployed. Your work will directly influence how we build Astro, Observe and our IDE product, as well as how global organizations orchestrate data pipelines at scale—making them faster, more reliable, and easier to manage. If you're driven by impact, excited by scale, and ready to work on the kind of infrastructure challenges that push the boundaries of what's possible in cloud-native systems, this is the opportunity you've been waiting for. What you get to do: Make high-quality, data-driven and experience-driven decisions on how we build this and the next generation of our production platform, then deliver the results. Own and build how we test, build and deploy code in a high-scale PaaS environment. Collaborate across the whole company on how we design production systems, set standards and make technology choices for new and existing products, and how these fit together. Deliver results - we routinely "change the wheels on the bus while it's moving", in a predictable, safe and reliable way. Be at the forefront of how we work together as a Platform Engineering team. Blaze a Trail : Work on a small but growing team on building out the Platform/Reliability practice for the company – this role reports directly to the VP of Reliability. Be an Owner : Be directly involved in decision-making on what we work on, as well as how we work on it. Make promises, and keep them. Do Sensible Things : Be directly involved in determining how our platform works. Participate in incident management and determine sensible practices as the platform evolves. Garage Door Open : Create and maintain comprehensive internal documentation for systems and processes, ensuring clarity and accessibility. What you bring to the role: Strong experience in Non-Abstract Systems design and implementation. Strong proficiency in Python, Golang and in-depth experience with Kubernetes (CKA or equivalent or greater). Experience with observability principles and technologies, including SLI/SLO definition and tracking. Strong communication skills, both written and verbal, with experience in working with a globally distributed team in delivery. A passion for reliability and operational excellence. A low tolerance for toil and other nonsense. Ability to estimate the scope of work accurately and coordinate with stakeholders to address risks and ensure successful project delivery. Experience with (and ideally strong opinions on) software development best practices, such as code review, testing, CI/CD, version control, automation and debugging. Proactive approach to identifying and addressing issues, with a focus on ownership and accountability. Bonus points if you have: Experience working on a SaaS/PaaS product across multiple cloud providers. Experience with our particular tech stack components and technologies (deep breath): CircleCI, Chronosphere (Prometheus), Splunk, Bazel, Istio, Playwright, Karpenter, Github [Actions] … Experience of the innards and quirks of AWS, GCP and (particularly) Azure. Participated in an on-call rotation - this role involves periodic on-call for the services we own. Experience with Apache Airflow. At Astronomer, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Find Jobs in United Kingdom on Arbeitnow

At NiCE, we don't limit our challenges. We challenge our limits. Always. We're ambitious. We're game changers. And we play to win. We set the highest standards and execute beyond them. And if you're like us, we can offer you the ultimate career opportunity that will light a fire within you. So, what's the role all about? We are seeking a highly skilled Cloud Operations Engineer to join our team. The ideal candidate will possess deep technical expertise in Linux systems, AWS cloud infrastructure, container orchestration platforms, and database administration. In this role, you will be responsible for designing, implementing, operating, and optimizing complex cloud environments on AWS. You will manage containerized workloads running on Amazon EKS and ECS, maintain production-grade Linux systems and databases, and contribute to the reliability, scalability, and security of our cloud platforms. This is an excellent opportunity to join a collaborative, engineering-driven organization where technical excellence, innovation, and continuous improvement are highly valued. How will you make an impact? Design, implement, and operate scalable, secure, and highly available AWS cloud infrastructure leveraging services such as EC2, EKS, ECS, RDS, S3, VPC, Lambda, and IAM. Drive the reliability and performance of containerized applications by managing Amazon EKS and ECS environments, including cluster operations, networking, scaling, and troubleshooting. Ensure the stability, security, and efficiency of production Linux environments through system administration, performance tuning, storage management, networking, and incident resolution. Maintain and optimize relational databases (PostgreSQL, MySQL, Aurora) and NoSQL platforms (DynamoDB, Redis), ensuring high availability, performance, and disaster recovery readiness. Strengthen the organization's cloud security posture through effective management of IAM, network security controls, secrets management, and compliance best practices. Enhance platform observability and operational excellence by implementing and improving monitoring, logging, alerting, and performance analytics using CloudWatch, Prometheus, and Grafana. Take ownership of production incidents by participating in on-call rotations, leading troubleshooting efforts, performing root cause analysis, and driving continuous improvement initiatives. Partner closely with software engineering, DevOps, and platform teams to improve deployment processes, application reliability, and operational efficiency. Identify and implement cloud cost optimization opportunities through resource right-sizing, capacity planning, automation, and governance best practices. Have you got what it takes? 4–5 years in a cloud operation, infrastructure engineering, or SRE role with a strong hands-on technical focus AWS Services Deep hands-on experience with core AWS services: EC2, EKS, ECS, RDS/Aurora, S3, VPC, IAM, Lambda, CloudWatch, Route 53, and ALB/NLB Proven ability to design and troubleshoot complex AWS networking topologies (VPCs, subnets, transit gateways, security groups) Solid understanding of AWS IAM — roles, policies, permission boundaries, and cross-account access Container Orchestration Hands-on production experience managing workloads on Amazon EKS and ECS — cluster lifecycle, node group management, networking (CNI, service mesh basics), and autoscaling Strong Docker fundamentals: image builds, registries (ECR), multi-stage builds, and container security Linux Strong Linux administration skills: Bash/Python scripting, process and memory management, filesystem and storage operations, kernel parameters, and network diagnostics Experience managing and hardening Linux servers in production environments (RHEL, Ubuntu, or Amazon Linux) Infrastructure as Code & Configuration Management Proficient in Terraform — module design, state management, remote backends, and workspace strategies Hands-on experience with Puppet for configuration management, node classification, and enforcing system state at scale Databases Hands-on experience with relational databases: PostgreSQL, MySQL, or AWS RDS/Aurora — schema management, query optimisation, replication, backups, and failover Familiarity with NoSQL databases: DynamoDB, Redis, or MongoDB — data modelling, performance tuning, and operational monitoring General Familiarity with CI/CD pipelines (GitHub Actions, Jenkins, or AWS CodePipeline) Experience with observability tooling: CloudWatch, Datadog, Prometheus, or Grafana Education Level: Bachelor's in computer science/IT preferred (or any engineering field considered) or equivalent. Certifications: AWS Certified DevOps Engineer, Certified Kubernetes Administrator (CKA), or similar certifications. Ability to work effectively with distributed team Must be detail oriented, task driven, and have excellent communication skills. Customer service focus is key. Ability to work effectively with staff, peers, and others in and outside the organization to accomplish goals, objectives and to identify and resolve problems What's in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr! Enjoy NICE-FLEX! At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Req ID: 11293 Reporting to: Director, Cloud Operations CXone, EMEA Role type: Individual contributor #LI-Remote About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law. Find Jobs in United Kingdom on Arbeitnow

At Sony Music Entertainment, we fuel the creative journey. We've played a pioneering role in music history, from the first-ever music label to the invention of the flat disc record. We've nurtured some of music's most iconic artists and produced some of the most influential recordings of all time. Today, we work in more than 70 countries, supporting a diverse roster of international superstars, developing and independent artists, and visionary creators. From our position at the intersection of music, entertainment, and technology, we bring imagination and expertise to the newest products and platforms, embrace new business models, employ breakthrough tools, and provide powerful insights that help our artists push creative boundaries and reach new audiences. In everything we do, we're committed to artistic integrity, transparency, and entrepreneurship. Sony Music Entertainment is a member of the Sony family of global companies. Sony Music's Product, Design, Engineering & Global Operations (PDEGO) team is seeking a Lead Software Engineer within our Pub Admin product team in our London King's Cross office. Pub Admin is our unified, modern rights and royalty platform - where our engineers help transform a complex domain into simple, scalable, high-performance product solutions for Sony Music's global songwriting community. What you'll do: Work with a cross-functional team to build products that empower artists and record labels across the globe Contribute to all tiers of our architecture to produce high quality, robust user experiences Write clean, tested, maintainable code Work closely with product management to understand client requirements Design, communicate and execute a vision in collaboration with your team and other teams across the technology organization Participate in re-architecture, refinement and technical design of various systems Mentor more junior engineers and contribute to a culture of continuous learning Who you are: Seeking 20+ years of software engineering experience in the following areas: Experience implementing distributed systems Experience in a scripting language (we use Python and JavaScript) Experience building frontend applications (we use TypeScript, React, and GraphQL) Experience with various database technologies and query languages (we use Neo4j, Kafka, MySQL, Snowflake, OpenSearch, and more) Familiar with low-latency techniques to help improve page load time and reliability Experience with microservices, APIs, and related standards such as REST, HTTP, and OAuth Comfortable with AWS Cloud technologies Experience using log analysis to investigate bugs and performance issues Experience writing unit and integration tests Experience working in an agile team The Ideal Candidate: Can mobilize teams around a vision and help lead execution of that vision Experience with data modeling and schema design of real world use cases Has prior experience with machine learning builds and release at commercial scale Defines best practices and standards within the team and helps build tooling to make those easy to follow Proactive problem solving Experience optimizing tables, schemas and data structures Ability to determine sensible KPIs and optimize against them What we give you: You join a vibrant global community with the opportunity to channel your passion every day A modern office environment designed for you, empowering you to bring your best Investment in your professional growth and development enabling you to thrive in our vibrant community The space to accelerate progress, positively disrupt and create what happens next We give you the platform to champion positive change, with the opportunity to contribute to our social impact, diversity, equity and inclusion initiatives We provide an excellent range of benefits like private medical cover, a generous pension scheme, life assurance, income protection, plus loads of music industry perks. There's also time off over winter break Equal Opportunities As an active part of a culturally and socially diverse society, Sony Music's aim is that our workforce is diverse and inclusive. Sony Music is an equal opportunity employer and supports workforce diversity. We employ, retain, promote and otherwise treat all employees and job applicants according to their merit, qualifications, competence and talent. We apply this policy without regard to any individual's sex, race, religion, origin, age, sexual orientation, marital status, medical condition or disability. Privacy Policy Please click here to read our privacy policy before beginning the application process as you will need to agree to the terms of the policy before submitting your information. Please note that applicants must be at least 18 years of age. Find Jobs in United Kingdom on Arbeitnow

Project Tricorder — Clinical Infrastructure for Field Operations We're looking for a hands-on engineer to build two foundations of the Tricorder product: the evaluation harness and training data pipeline behind our AI models, and a clinical knowledge base grounded in tactical combat care, SNOMED CT and ICD-10. About Project Tricorder - https://www.tricorder-systems.com/ Most healthcare technology assumes a hospital: reliable power, connectivity and a clinician at a desk. Care increasingly happens somewhere else - in the field, in transit, in remote and contested environments, and in the critical minutes before a patient reaches a ward. Tricorder builds the deployable clinical infrastructure for that world: a rugged, self-contained hardware and software platform that lets clinical teams capture, monitor and act on patient data anywhere, even when the network or the grid can't be relied on. It is a dual-use venture serving defence medical and civilian pre-hospital care. Our prototype product is already in user testing. Edge AI sits at the core: multimodal language models that turn video, sensor data and clinical notes into patient records, drive predictions and inform data-driven learnings across deployments. To trust those models in the field, we need rigorous data and evaluation - that's where you come in. What you'll do You'll own two workstreams, working day to day with the founder and the FF build team. 1. Data pipeline and evaluation harness Build the data foundations that tell us whether our models are good enough for clinical use. Data labelling: design labelling schemas and guidelines, set up tooling, and run labelling with clinical input, including quality checks and inter-annotator agreement. Data processing: build reproducible pipelines to ingest, clean, de-identify and transform multimodal data (video, sensor streams, text). Video data organisation: structure, version and catalogue video datasets so clips, annotations and metadata stay searchable and traceable. Training dataset preparation: assemble balanced, well-documented train, validation and test splits, with clear lineage from raw data to model input. Eval harness: build an automated harness that benchmarks vision-language and NLP models against clinically meaningful metrics, tracks regressions and supports build-vs-buy model decisions. 2. Clinical knowledge base Build the structured clinical knowledge base that turns unstructured input into coded, interoperable records. Database design: design the schema and stand up the data store for clinical concepts and their relationships. Clinical terminologies: ingest and map TC3, SNOMED CT, ICD-10 and related NHS standards, including cross-mappings between them. Natural language processing: extract entities and relationships from clinical text and link them to coded concepts. Document handling: parse and structure clinical documents (PDFs, notes, forms) into the database. Clinical knowledge: work with clinicians to make sure the database reflects real-world clinical reasoning and pre-hospital workflows. By the end of the first 3 months, we'd expect a working eval harness in use for model decisions, a labelled and versioned core dataset, and a first version of the knowledge base linked to the product. What we're looking for We don't expect one person to be expert in everything below. Strong candidates will be deep in one workstream and credible in the other. Must-haves Strong Python and data engineering skills, with a track record of shipping production data or ML pipelines, not just research notebooks. Hands-on experience building ML evaluation frameworks, benchmarks or test harnesses, ideally for vision, video or language models. Experience running data labelling and training-data preparation, including annotation tooling and quality control. Working knowledge of databases and data modelling. Practical NLP experience: entity extraction, entity linking or document parsing. Comfort handling sensitive data under data protection and clinical safety constraints. Pragmatism and speed: you can work with ambiguity, make good build-vs-buy calls and ship in weeks, not quarters. Nice to have Experience with SNOMED CT, ICD-10, dm+d or other NHS clinical terminologies and coding. A background in health-tech, clinical informatics or another regulated domain such as defence. Experience with video data at scale (frame sampling, temporal annotation, multimodal datasets). Familiarity with FHIR or HL7 interoperability standards. Experience working with LLMs and VLMs, including edge or on-device deployment. Early-stage startup experience, especially as a founding or early engineer. Probably not the right fit if You need detailed specs and a large team around you to be effective. You prefer pure research over building tools people use every day. This is a high urgency opening, and we are flexible to consider applicants either on a more flexible consultancy agreement (rolling by mutual agreement, with a competitive day rate); or a long term permanent employment contract with shares as part of the package and scope to grow into a longer-term role as Tricorder builds its engineering team. Find more English Speaking Jobs in United Kingdom on Arbeitnow

Engineering Manager Engineering Prolific Prolific is not just another player in the AI space – we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of human-generated data that truly differentiates products and models. The role At Prolific, our product development group is a powerhouse of Engineering, Product, Data, Design, and Research – all working in lockstep. You'll thrive in cross-functional teams, each with a clear mission and the freedom to self-organize and innovate towards the best possible outcomes. We're passionate about moving fast and continuously improving, and we champion strong engineering principles and a culture of strong ownership. As an Engineering Manager, you won't just manage; you'll inspire, empower, and elevate. You'll cultivate high-performing engineers and champion good engineering practices. Working hand-in-hand with your Product Manager, you'll ensure your team is not just set up for success, but poised to deliver exceptional customer impact. This is a hands-on technical leadership role where your expertise will directly impact the technical excellence of your teams' work. You'll be instrumental in driving technical decision-making and collaboratively building scalable, resilient, and maintainable systems that power the future of AI. What you'll bring to the role Experience in engineering management or equivalent coaching, mentoring and leadership experience as an individual contributor A demonstrable track record of building products and leading complex initiatives and designing systems Exceptional problem-solving and deep understanding of software engineering Clear and structured communication skills, with an ability to lead diverse teams, influence stakeholders, and collaborate effectively across all levels and disciplines. 5+ years of professional software development experience, including hands-on expertise building highly available, transactional, and distributed cloud-based applications Strong web frontend expertise with proven experience building secure and customer facing frontend applications and strong knowledge of modern web technologies What you'll be doing in the role Lead, coach engineering teams to consistently deliver outstanding customer value. Nurture the professional growth of your engineers, including impactful hiring, onboarding and performance management. Create a healthy and predictable pace of work by proactively planning, removing blockers, orchestrating dependencies, and fostering crystal-clear communication within and beyond your team. Collaborate closely with product managers and your team to define both what to build and how to build it With your team, drive the technical solution design and implementation, ensuring alignment with the overarching technical direction Collaborate closely with product managers and the team to manage technical debt and toil and provide support for existing systems Contribute to defining and evolving Prolific's engineering practices and cross team initiatives Key Technologies Cloud Platforms: Google Cloud Platform (GCP), Amazon Web Services (AWS) Programming Languages: Python, JavaScript, TypeScript, Vue.js Frameworks: Django Rest Framework, Serverless architectures, container-based services Databases: MongoDB, DynamoDB, Postgres DevOps & Monitoring Tools: CircleCI, GitHub Actions, Kubernetes, Celery, EventBridge, DataDog Why Prolific is a great place to work We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioral data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviors into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breath and the best of humanity. Working for us will place you at the forefront of AI innovation, providing access to our unique human data platform and opportunities for groundbreaking research. Join us to enjoy a competitive salary, benefits, and remote working within our impactful, mission-driven culture. Links to more information on Prolific Benefits External Handbook Website Youtube Privacy Statement By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal information. Find Jobs in United Kingdom on Arbeitnow

About IonQ: IonQ, Inc . [NYSE: IONQ] is the world's leading quantum platform and merchant supplier - delivering integrated quantum solutions across computing, networking, sensing, and security. IonQ's newest generation of quantum computers, the IonQ Tempo, is the latest in a line of cutting-edge systems that have been helping customers and partners including Amazon Web Services, and AstraZeneca achieve 20x performance results and accelerate innovation in drug discovery, materials science, financial modeling, logistics, cybersecurity, and defense. In 2025, the company achieved 99.99% two-qubit gate fidelity, setting a world record in quantum computing performance . Headquartered in College Park, Maryland, IonQ has operations in California, Colorado, Massachusetts, Tennessee, Washington, Italy, South Korea, Sweden, Switzerland, Canada, and the United Kingdom. Our quantum computing services are available through all major cloud providers, while we also meet the needs of networking and sensing customers across land, sea, air, and space. IonQ is making quantum platforms more accessible and impactful than ever before. Location: Oxford, UK Office commitment: Hybrid The Role: We are looking for an enthusiastic Software Engineer to join our System Orchestration team in System Software at Oxford Ionics. In this role, you will be responsible for building the software that keeps our systems calibrated, decides what they do next and keeps the record of what they did, contributing to the team's mission of keeping our quantum computers running useful work around the clock. The trapped-ion quantum computers we are building will control 10,000 ions within two years, and all of that has to be kept in tune - settings that drift over minutes, hours and days. Without it a computer does not stop; it quietly starts producing invalid output. Calibration routines, scientists' experiments and customer workloads all compete for physical hardware, and our team builds the control plane that arbitrates that: it schedules and prioritises programs, hands exclusive access to one at a time and takes it back cooperatively, streams results while a program is still running, and keeps the record of everything that ran. It runs on every quantum computer in our fleet. Its job is to keep that machine busy and productive: running quantum programs rather than waiting in between, and running them in spec - on a machine still hitting the fidelity it is meant to hit. The ambition is for that to run without a person in the loop: machines that assess their own readiness, call for the calibrations they need, and keep a full history of how they were tuned. You'd work closely with the runtime team who own real-time control, the systems teams who build and maintain our quantum computers, and the operators and scientists who run them. You will own features end to end, from the API through to the rollout onto real machines. You'll play an important part in shaping the services that support our work in building the world's most advanced quantum systems. Previous exposure to quantum systems is not required. Responsibilities : In this position, you will work on the services that schedule work onto our quantum computers and keep the record of it, supporting the effective delivery of a control plane the whole fleet depends on. You'll have the opportunity to own real pieces of that system end to end, contributing directly to the success of the System Software function. Key responsibilities include: Build and extend the services that schedule work on our systems and keep the record of it. Build the mechanisms that decide when a system needs re-tuning, and get those calibrations run. Own what we persist: the data model, its migrations, and the code that reads and writes it. Produce the tests and harnesses that let our code be exercised against real hardware and against simulators. Work with the systems teams to roll releases out across the fleet and support them once they are running. Improve the observability of the code you ship. Take part in code review, and improve the APIs our internal users depend on Requirements: To be successful, you will need solid programming skills, an interest in the systems that keep long-running machines working, and either experience of a systems programming language or the appetite to learn one. We're looking for someone who can work comfortably in a Linux environment, cares about what happens to data when a service crashes or a migration goes wrong, and can contribute effectively within a fast moving, highly technical team. You'd be a great fit with: Strong programming skills in one or more mainstream programming languages. Experience with a systems programming language. Our System Orchestration layer is written in Rust, so either some Rust experience or the appetite to learn it. Comfort with relational databases and SQL; we use PostgreSQL. Some exposure to networked services and APIs, such as gRPC or REST. Exposure to schedulers, job queues or workflow engines - Celery, Airflow, Temporal, Slurm or similar. Comfort working on Linux, and debugging a service that is already running. Good communication skills both within software and across disciplines. A habit of producing appropriate tests and taking part in code review. Additional useful experience would include async programming, containers and Kubernetes, closed-loop systems that act on measured state, and scientific computing or research facilities. Benefits Be part of a team that's shaping the future of quantum. We offer more than just a role, you'll join a world class community of scientists, engineers and innovators working to unlock the full potential of quantum computing. We offer a range of benefits, including opportunities to further your career alongside industry leaders, a competitive salary with IonQ stock options, an annual performance bonus, generous annual leave, flexible hybrid working, private medical and dental insurance for you and your family, and much more. Join us and be part of the future of quantum computing. We're proud to be an equal opportunity employer and welcome applicants from all backgrounds. Compensation will vary based on individual factors such as education, qualifications, and experience of the final candidate(s), specific office location, and calibration against relevant market data and internal team equity. Posted base salary figures are subject to change as new market data becomes available. Our benefits include comprehensive medical, dental, and vision plans, matching 401(k), unlimited PTO and paid holidays, parental/adoption leave, legal insurance, and a home technology stipend. Details of participation in these benefit plans will be provided when a candidate receives an offer of employment. At IonQ, we believe in fair treatment, access, opportunity, and advancement for all while striving to identify and eliminate barriers. We empower employees to thrive by fostering a culture of autonomy, productivity, and respect. We are dedicated to creating an environment where individuals can feel welcomed, respected, supported, and valued. We are committed to equity and justice. We welcome different voices and viewpoints and do not discriminate on the basis of race, religion, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other basis protected by law. We are proud to be an Equal Employment Opportunity employer. US Technical Jobs. The position you are applying for will require access to technology that is subject to U.S. export control and government contract restrictions. Employment with IonQ is contingent on either verifying "U.S. Person" (e.g., U.S. citizen, U.S. national, U.S. permanent resident, or lawfully admitted into the U.S. as a refugee or granted asylum) status for export controls and government contracts work, obtaining any necessary license, and/or confirming the availability of a license exception under U.S. export controls. Please note that in the absence of confirming you are a U.S. Person for export control and government contracts work purposes, IonQ may choose not to apply for a license or decline to use a license exception (if available) for you to access export-controlled technology that may require authorization, and similarly, you may not qualify for government contracts work that requires U.S. Persons, and IonQ may decline to proceed with your application on those bases alone. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. US Non-Technical Jobs. Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. If you are interested in being a part of our team and mission, we encourage you to apply! Find Jobs in United Kingdom on Arbeitnow

About the role Data is undeniably one of the world's most valuable resources. However, it's futile if it's not in the right place or the right setup. We strive to place data where it's needed most and can be used to its fullest potential. Become a valued member of our data integration team and start your journey building scalable data architectures and fast data pipelines for our multinational clients. Our use cases range from data warehouse and lakehouse architecture implementations over IoT and data streaming setups to sophisticated AI scenarios, in industries ranging from manufacturing, consumer products, and healthcare to banking and insurance, just to name a few. Your responsibilities You will support the team in designing, building, and maintaining data pipelines according to client business needs and embedding them end-to-end into the given data stack On this role, you will assist in maintaining and optimizing data infrastructure required for data extraction, transformation, and loading (ETL/ELT) from a wide variety of data sources As a junior Data Engineer, you will build, test, and deploy data artifacts on cloud platforms using modern version control best practices You will collaborate with senior engineers to ensure data accuracy, integrity, privacy, security, and compliance by applying data quality assurance methods Monitoring data pipeline performance and assisting in identifying opportunities for pipeline optimization In this role, you will work closely together with both reeeliance and client staff as part of an agile project team Our requirements Solid foundational knowledge of data modeling concepts and modern data warehousing architectures Proficiency in Python and strong SQL skills for querying and manipulating complex datasets Hands-on experience with Git for version control and collaborative development Practical exposure to or understanding of working within cloud environments (such as Azure or AWS) Eagerness to learn new ETL/ELT tools, cloud technologies, and software engineering practices Foundational understanding of a typical GenAI stack (LLMs, Vector Databases, frameworks like LangChain) First-hand experience building a basic RAG application or deploying an open-source model locally Strong problem-solving attitude and an enthusiastic, proactive approach to learning Ability to work both independently on delegated tasks and collaboratively within agile project teams A university degree in Computer Science, Information Technology, or a related discipline (or equivalent practical experience) Articulate with impeccable verbal and written communication skills in German (C1 level) and English (B2 level). Strong & discerning listener What we offer Space to grow: Taking ownership in international projects while continuously expanding your skills Mentorship and Onboarding: Structured introduction supported by dedicated mentor Cutting-edge workspace: Work with the latest technology and modern equipment to drive innovative solutions Long-term stability: A permanent employment in a family-oriented and people-focused company Diverse & inclusive environment: Join a truly international environment and collaborate daily with teammates from over 15 different nationalities Balance matters or work-life harmony: A work schedule designed to promote well-being and productivity Team culture & connection: Social events and structured team-building days held in Berlin and Hamburg Language courses: Learn, improve or practice your conversational skills on language platform Lingoda Never stop learning: You'll receive a dedicated budget to industry-leading platforms like Udemy and MasterClass to sharpen your technical expertise and leadership skills …and many other Job perks (childcare subsidy, company pension scheme, job bike, etc…) Find Jobs in Germany on Arbeitnow

What you'll do As a Senior Software Engineer, Support & Integration (C++) , you will join the Snke Anatomy Applications team and help ensure that our Digital Patient Model services are reliably integrated and supported in customer environments. In this role, you will handle escalated technical issues and provide third-level support through analysis, root cause investigation, and collaboration with the engineering team. You will also support legacy products through technical analysis and contribute to development work whenever support demand allows. Investigate and analyze customer-reported issues in production systems, integration setups, and internal environments. Reproduce issues, identify root causes, and provide clear technical findings to the responsible engineering team. Support customers with the integration of our services, APIs, and data flows. Analyze issues in legacy products and support their continued operation. Work with modern C++20 services and understand older C++ code bases for debugging and support purposes. Communicate technical findings clearly to internal teams and customers. Contribute to development work when support priorities allow. What we're looking for We are looking for someone with several years of professional experience in C++ software engineering and technical support or integration roles. You should be able to investigate complex issues independently, communicate technical findings clearly, and work confidently with both modern and legacy code bases. Several years of professional experience in C++ software engineering. Experience in technical support, application support, integration support, or a similar customer-facing technical role. Strong analytical and problem-solving skills, especially when reproducing issues, analyzing logs, and identifying root causes. Ability to work with both modern and older C++ code bases for debugging and support when necessary. Experience with distributed backend systems and gRPC services using Protocol Buffers. Excellent communication skills and the ability to explain technical findings clearly and concisely. An independent, structured working style and the ability to drive investigations to a solid conclusion. Nice-to-Have Experience supporting healthcare or other regulated software products. Familiarity with Git and scripting languages such as Python or PowerShell. Knowledge of CI/CD pipelines, observability, logging, and monitoring. Familiarity with cloud platforms such as AWS. Experience with DICOM or other medical data standards. Why Snke A supportive, international team connected by shared values and a culture of trust Meaningful responsibilities with a lasting impact on global healthtech, improving medical decisions and patient outcomes 30 vacation days, plus December 24th and December 31st Flexible working hours and a hybrid work model within Germany Bike leasing via our partner "BikeLeasing" Parking garage and secure underground bike storage Subsidized company restaurant and in-house café Urban Sports Club membership with employer contribution Regular after-work, team, and company events Centrally located, modern workspace with a 212 m² rooftop terrace Ready to apply? We look forward to receiving your online application including your first available start date. Contact person Tatjana von Freyberg Find more English Speaking Jobs in Germany on Arbeitnow

About RoomPriceGenie ✨🧞‍♂️ Founded in 2017, RoomPriceGenie is dedicated to helping hoteliers around the globe achieve optimal pricing. 🌍 We understand that many small hotels face challenges with digitalization, making their operations increasingly complex and often resulting in lost revenue. This is where we come in! We have developed a powerful solution that enables hotels to set the right prices in just seconds. ⏱️ Our state-of-the-art algorithm analyzes both internal hotel data and market trends to recommend pricing strategies that enhance revenue and improve booking rates. With customers spanning the globe—from the USA and Canada to Iceland, South Africa, China, Slovenia, Italy, and the UK—RoomPriceGenie has made a meaningful impact in the hospitality industry, and our clients love the results. ❤️ Now, we are excited to expand our customer base and spread the word about how we can support hoteliers in optimizing their pricing strategies. We invite you to join us on this journey! We actively encourage applications from candidates with diverse backgrounds to enrich our team and drive innovation. Your Role As an Engineering Manager for the Algorithms team (Revenue Management Engine) at RoomPriceGenie, you will build and lead the team behind the core of our product: the pricing and forecasting engine that automatically prices rooms for thousands of hotels. This is the algorithmic and data heart of RoomPriceGenie, spanning the pricing algorithm, the forecasting models and the data pipelines that feed them. This is a leadership role. Your focus is the team: delivery, people and the connection to product goals. You stay technically credible and close to the work through design and code review, and you get hands-on when the team needs it, but you are not coding day to day. You balance delivery speed with long-term technical health and build an environment of trust and accountability. The role also reaches beyond your own team: we want you leading the way on technical improvements at the Product and Engineering department level, things like engineering processes and operational excellence, as a hands-on driver. You will work closely with a Product Manager and report to the Senior Engineering Manager. A core part of the job is turning a complex, data-heavy domain into reliable, measurable outcomes: shipping model and pipeline improvements, proving their impact through backtesting and clear quality metrics, and keeping pricing runs dependable at scale. We expect you to be a genuine partner to Product, able to challenge and shape what gets built, not only how. Who you'll lead You will lead a team of 4 engineers (3 Senior and 1 Staff). The role may also grow to include an Associate Engineering Manager over time. Your Responsibilities Build and lead a high-performing team across the pricing algorithm, forecasting and data pipelines, owning delivery, quality and the operational health of pricing runs. Grow your people through regular 1:1s, feedback, performance reviews and career development. Hire, onboard and develop engineers to keep the team balanced and strong. Partner closely with Product and challenge them: push back on direction, bring your own point of view and drive changes to what the team builds, not just how it builds. Translate business goals into clear engineering plans with measurable outcomes and realistic timelines. Use data (backtesting, model quality, before and after signals) to guide prioritisation. Balance delivery velocity with technical sustainability, addressing debt, scalability and reliability as part of delivery rather than after it. Provide technical oversight through design and code review, staying close enough to guide architecture and quality and to get hands-on when the team genuinely needs it. Act as a buffer between the team and external pressure, keeping focus and healthy team dynamics. Improve engineering processes and practices to increase clarity, alignment and predictable delivery. Lead technical improvements beyond your own team, at the Product and Engineering department level, for example engineering processes and operational excellence. We want you hands-on and driving these, not only sponsoring them. Your Profile Strong software engineering background with a track record of building and operating production systems, ideally with depth in backend and data-intensive or algorithmic domains. At least 5 years of experience, with several years genuinely managing engineers, including performance management. This is a role for an experienced manager, not a first step into leadership. Experience growing or managing other managers, for example an Associate Engineering Manager or Team Leads, is a plus. A strong product mindset with the confidence to challenge Product. You enjoy defining problems and validating solutions with PMs and you are comfortable disagreeing, proposing alternatives and driving them to a decision. Technically credible and willing to get hands-on when the team needs it, while spending most of your time leading rather than in the code day to day. Comfortable with our stack: Python/Django on the backend, with a data stack around Snowflake, dbt and Dagster. Exposure to forecasting, modelling or data engineering is a strong plus. Strong grasp of system design, architecture and engineering best practices. Excellent communication and leadership: you create clarity, trust and accountability, with a servant-leadership mindset toward your team. You look beyond your own team and enjoy driving technical improvements that raise the bar across the wider Product and Engineering org. Fluent in English and based in a European time zone (UTC+0 to UTC+2). What We Offer at RoomPriceGenie 💪 At RoomPriceGenie, we don't just offer jobs; we offer an adventure! 🚀 Join us in an exciting startup atmosphere where you can grow your career while changing the world for tens of thousands of independent hoteliers. 🌍 Our global and diverse team is fueled by passion and a shared mission. We thrive in a culture that's all about transparency, respect, and making a real impact together. Here's what you can expect when you become part of our Genie family: Remote-First Model : Work from (almost!) anywhere. 🌍🧑‍💻 Some roles need you in a specific country or time zone — we'll always flag that in the job ad. And whenever you like, come co-work with us in Mannheim, Berlin, or Sydney. 🏢 One Team, One Vision, One Goal: We're in this together! 🤝 Our Genies are laser-focused on our mission, collaborating to make magic happen. ✨ It's no wonder we score a stellar 9.3 from our team members! 🌟 Epic Team Gatherings: Every year, we bring our global crew together 🌎 for a week of networking, brainstorming, and fun. 🎉 Plus, enjoy regular hangouts in our offices to keep the camaraderie alive. Growth and Development: We're all about lifelong learning! 📚 Level up your skills with personal and professional development opportunities. You'll even snag up to three extra days off each year to focus on your growth. 📈 5 Years? 5 Weeks! Stick with us, and we'll reward your loyalty. After five years, you'll earn an incredible five weeks of bonus vacation time 🏖️ to recharge and explore the world. 🌍 Birthday Celebrations: It's your day, so take it off! 🎂 Celebrate your birthday the way you want, guilt-free. Flexible Hours: We get it—life happens! ⏰ We offer flexible working hours to help you balance your work and personal life seamlessly. Wellbeing Matters: Your mental health is a top priority. 🧘 Every Genie gets access to Headspace, the leading meditation app, to help you cultivate a happier, healthier, and more zen life. 🌿 BetterHelp Support: We also offer BetterHelp , a professional online therapy and counseling platform, giving you additional support whenever you need it. 💛🧠 We kindly ask that recruitment agencies refrain from reaching out regarding this vacancy. Thank you for your understanding. Compensation: €100K – €110K • €100K – €110K Find more English Speaking Jobs in Germany on Arbeitnow

About BigGeoBigGeo is redefining geospatial intelligence with an AI-ready Discrete Global Grid System (DGGS) that transforms how spatial data is captured, indexed, and monetized. Our platform powers mission-critical decisions across sectors where location intelligence drives outcomes-from large-scale infrastructure projects and environmental planning to logistics and emergency response. We are industry agnostic, unlocking possibilities for organizations that have yet to realize the value a system like ours can deliver.Backed by Vivid Theory, a venture studio dedicated to building transformative technologies, we're a multidisciplinary, entrepreneurial team built for impact. We work quickly, push boundaries, and expect every team member to be both a thinker and a doer.The OpportunityWe're seeking an exceptional Senior Engineer to help architect and accelerate our next phase of growth. In this role, you'll build solutions that change how organizations leverage real-time geospatial data, working at the intersection of computational geometry, high-performance computing, and cutting-edge geospatial technologies.What You'll DoDesign and implement production-grade geospatial libraries with clean APIs and comprehensive documentationBuild high-performance C++ core systems with Python bindings for broad accessibilityDevelop and optimize computational geometry algorithms for large-scale spatial analysisValidate and process complex geometries according to OGC standardsCreate deployment strategies and maintain CI/CD pipelines for geospatial servicesCollaborate across disciplines to deliver measurable results in high-impact, real-world scenariosRequired QualificationsProgramming & Software Development 7+ years of professional C++ development experience (C++14/17/20) Expert-level understanding of modern C++ features, STL, templates, and design patterns Strong experience with memory management, performance optimization, and multi-threading Proficiency in Python with experience creating FFI bindings (pybind11, ctypes, CFFI) Experience building production-grade libraries with clean APIs Senior Engineering Practices Advanced Git workflows and code review experience Proven experience designing deployment strategies for libraries and services Strong understanding of semantic versioning, backward compatibility, and API stability CI/CD pipeline development and management Comprehensive testing practices (unit, integration, performance) Experience with build systems (CMake, Bazel) and package management Computational Geometry & Mathematics Deep understanding of computational geometry algorithms and data structures Strong foundation in linear algebra, differential geometry, and numerical methods Experience implementing geometric algorithms (convex hulls, spatial decomposition, nearest neighbor search) Knowledge of computational complexity and algorithm optimization Understanding of floating-point arithmetic and numerical stability Geospatial & DGGS Expertise Solid understanding of coordinate systems, projections, datums, and transformations Experience with Discrete Global Grid Systems (H3, S2, or OGC DGGS standards) Knowledge of spatial indexing techniques and hierarchical grid structures Understanding of geodesic computations and spherical geometry Geometry Validation & Processing Experience validating geometry according to OGC Simple Features specifications Ability to detect and repair invalid geometries (self-intersections, duplicate vertices, incorrect winding order) Knowledge of topology rules and spatial relationships Experience with geometry simplification, buffering, and overlay operations Proficiency with GeoJSON, WKT/WKB formats OGC Standards & Data Formats Working knowledge of OGC Simple Features Access (SFA) specification Understanding of Well-Known Text (WKT) and Well-Known Binary (WKB) formats Familiarity with OGC web services (WMS, WFS, WCS, WMTS) Experience with modern columnar formats (GeoParquet,