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Location: Intellias Meet your recruiter Daniela Riabova daniela.riabova@intellias.com https://www.linkedin.com... Vacancy details Data Engineering Data Engineer Principal Bulgaria, Colombia, Croatia, Poland, Portugal, Spain, Ukraine, United States Remote APPLY NOW REFER A FRIEND Intellias is looking for a Staff Healthcare Data Engineer to join a large-scale digital healthcare initiative focused on building a FHIR-based health data platform and transforming fragmented healthcare data into clean, standardized, and trustworthy information. This is a Staff-level Individual Contributor role combining deep healthcare data engineering expertise, distributed data systems, FHIR interoperability, and AI-native software development. You will set technical direction for how healthcare data is ingested, transformed, validated, and delivered at scale while solving the platform’s most complex engineering and data-quality challenges. The role requires both deep hands-on engineering expertise and broad technical influence — establishing reusable frameworks and standards, mentoring experienced engineers, and raising the engineering bar across the team. What project we have for you The project is building a FHIR-based healthcare data platform at scale , integrating information from EHRs, healthcare organizations, payer systems, national and reference datasets, and other clinical data sources. The platform transforms heterogeneous healthcare data into clean, standards-conformant FHIR while addressing complex challenges around data quality, patient and record matching, deduplication, terminology normalization, distributed processing, and reliable delivery at production scale . The technology landscape includes Python, Apache Spark/PySpark, Databricks, Delta Lake, SQL, FHIR R4, HL7, C-CDA , healthcare terminology standards, and modern cloud-native data infrastructure. This is an AI-native engineering environment where coding agents such as Claude Code and reusable AI capabilities are integrated into the engineering lifecycle. AI is used to accelerate development and solve appropriate healthcare data problems while maintaining strict standards for correctness, deterministic processing, testing, security, and PHI safety. What you will do Set the technical direction for healthcare data engineering across ingestion, transformation, validation, normalization, and delivery. Own the end-to-end architecture of large-scale distributed data pipelines transforming heterogeneous source data into clean, standards-conformant FHIR. Design and evolve scalable solutions using Python, Spark/PySpark, Databricks/Delta Lake , and modern data-processing technologies. Diagnose and eliminate complex performance and scalability bottlenecks across distributed data workloads. Establish standards and reusable frameworks for data quality, deduplication, patient/record linking, terminology normalization, and reliable idempotent processing . Define architectural patterns for FHIR transformation, validation, schema evolution, and production delivery. Build and evolve automated testing and validation capabilities for data quality and FHIR conformance . Establish engineering patterns and reusable tooling that allow the broader team to deliver new healthcare data capabilities faster and more consistently. Champion PHI-safe engineering practices and ensure healthcare data solutions meet applicable security, privacy, and compliance requirements. Make AI-native engineering a practical part of the team’s development model , using coding agents and reusable AI capabilities to automate repetitive work and accelerate complex engineering tasks. Establish engineering guardrails for AI-assisted development, ensuring AI-generated solutions remain correct, tested, secure, observable, and PHI-safe. Determine where deterministic processing provides better reliability than AI/LLM-based approaches and establish appropriate architectural patterns for both. Mentor Senior and Middle engineers through design reviews, pairing, technical guidance, and knowledge sharing. Drive complex, ambiguous engineering problems from initial investigation through architecture, implementation, and production operation. Collaborate with engineering, product, security, data, and healthcare-domain stakeholders to translate complex interoperability requirements into scalable technical solutions. Represent strong healthcare data engineering practices in relevant architecture, standards, and technical discussions. What you need for this 8+ years of professional experience in data engineering, healthcare data platforms, HealthTech, or healthcare interoperability. Proven Staff-level technical ownership of complex production systems, including the ability to set technical direction and solve problems spanning multiple components and engineering teams. Strong hands-on expertise in Python and production-grade data engineering. Deep experience with Apache Spark/PySpark at scale , including partitioning, performance optimization, memory tuning, and distributed processing. Experience with modern lakehouse technologies such as Databricks and Delta Lake , or comparable platforms. Strong experience designing and operating large-scale ETL/ELT pipelines , including CDC, incremental/delta processing, idempotency, schema evolution, and batch/streaming workloads. Proven experience diagnosing and eliminating complex performance and scalability bottlenecks in distributed data-processing systems. Deep hands-on experience with FHIR R4 , including resources, profiles, Bundles, validation, and large-scale healthcare data transformation. Strong knowledge of US Core, USCDI, HL7 v2.x , and C-CDA-to-FHIR transformation patterns. Strong understanding of healthcare terminology standards including SNOMED CT, LOINC, and RxNorm . Experience working with clinical, claims, coverage, eligibility, or comparable healthcare data models. Strong experience with data quality, deduplication, record/patient linking, terminology normalization, and validation . Strong SQL skills and understanding of data modeling, schema evolution, data quality, and production data architecture. Experience with Git, CI/CD, automated testing, observability, and production operations . Strong understanding of healthcare security, privacy, and regulatory requirements, including HIPAA and PHI-safe engineering practices. Proven ability to establish reusable engineering frameworks, architectural patterns, standards, and data-quality practices adopted by other engineers. Demonstrated technical leadership through architecture/design reviews, mentoring, pairing, and cross-team engineering influence. Practical experience using AI coding agents such as Claude Code or comparable agentic engineering tools as an integral part of the development lifecycle. Strong engineering judgment around when to use AI/LLM-based approaches versus deterministic rule-based solutions , particularly where correctness, cost, performance, or PHI safety are critical. Professional English sufficient for direct collaboration with U.S.-based technical and business stakeholders. Nice to Have Deep experience with large-scale FHIR data modeling and healthcare interoperability platforms . Experience with Master Patient Index (MPI), patient matching, identity resolution , or large-scale record linkage. Experience with payer data exchange, including CARIN Blue Button , Da Vinci implementation guides, or similar standards. Experience working with pharmacy, laboratory, or other specialized healthcare datasets. Knowledge of ICD-10 , CPT, CVX , and additional clinical terminology/code systems. Experience with 21st Century Cures Act, ONC certification, CMS Interoperability Rule , or related U.S. healthcare regulatory frameworks. Experience building LLM/agent-based capabilities for clinical data extraction, normalization, terminology mapping, or healthcare data quality . Experience designing reusable AI skills or agentic workflows adopted across engineering teams. Contributions to open-source healthcare, FHIR/HL7 communities, or relevant industry working groups. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills Healthcare Python Spark

Location: Amsterdam, Netherlands; London, United Kingdom; Remote - Europe; Zurich, Switzerland About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. We are seeking a Senior ML Engineer to join a fast-growing team building an agent-native search platform for AI systems, the emerging web access layer for AI. Our focus is agentic search, where AI systems plan, retrieve and refine rather than just return results. You will develop and deploy machine learning models that power retrieval, ranking, and indexing at scale, helping AI systems access fresh, reliable information in real time. This is a high-impact role working on a production system used 24x7, operating at the scale of web search. Your responsibilities: Train and deploy ML models for retrieval, reranking, and search relevance, such as embedding models and cross-encoders, in production Develop models supporting crawling, data selection, and content understanding Build and maintain the data, training and evaluation pipelines behind our models: training-data generation, evaluation sets and retraining Contribute to and improve our ML platform: training and orchestration workflows (Kubernetes, GPU scheduling, experiment tracking, model lifecycle) and inference optimisation for low-latency serving Work closely with engineering to integrate and deploy ML models in production services, balancing latency, quality and cost Apply the latest architectural advances and training procedures for retrieval and LLM-integrated systems Must-haves: 5+ years of experience in software engineering or applied machine learning Strong programming skills in Python and at least one of Go or C++ Proven experience deploying ML models in production systems Solid understanding of machine learning and modern deep learning, including transformers and embeddings Experience building data or ML pipelines and working with workflow orchestration Ability to define meaningful model metrics and evaluate models rigorously Product-oriented mindset with a focus on impact and iteration Nice-to-haves: Hands-on experience with retrieval, ranking, or recommendation Experience with Kubernetes, distributed training or GPU scheduling, or inference optimisation (batching, quantisation, compilation) Contributions to open-source projects, technical publications, or conference talks Strong results on public benchmarks or leaderboards (e.g. MTEB , BEIR ) or models released on Hugging Face Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

-реализовывать высоконагруженные конвейеры обработки данных для обеспечения надежной и бесперебойной репликации данных из ИТ-систем. -реализовывать комплексные задачи по подготовке данных в целевых аналитических хранилищах (DataLake, SandBox, FeatureStore) для построения признаков, необходимых для разработки моделей машинного обучения.

Разрабатывать и исследовать ML-модели для генерации изображений и визуализации интерьерных/строительных решений на основе товаров Лемана ПРО. Проектировать и реализовывать end-to-end пайплайны для PoC: от сбора и подготовки данных до обучения, оценки и демонстрации результатов.

Location: Germany; Austria Workplace: Hybrid AI ENABLEMENT ENGINEER - GERMANY & AUSTRIA (f/m/x) As an AI Enablement Engineer at Wonderful your mission will be to help our teams, customers and partners develop the skills to take enterprise AI from concept to working solution. What you’ll do You’ll combine hands-on AI engineering with technical teaching, designing and delivering programs where people learn by building on the Wonderful platform. From onboarding Forward Deployed Engineers and Deployment Strategists to leading customer workshops and partner certification, you’ll equip people to deploy confidently and work independently. - Teach by building. Guide customer teams through a scoped AI agent or application, connecting architecture, integrations and development practices to a working solution with practical business value. - Get our teams ready to deliver. Own technical onboarding for Wonderful’s Forward Deployed Engineers and Deployment Strategists, preparing them to work independently in customer environments. - Lead Wonderful Academy programs. Design and deliver platform workshops, hands-on training and role-based learning for technical and business audiences. - Enable our partners. Build training for systems integration partners covering the Wonderful platform, deployment methodology and implementation standards. - Own certification end to end. Define learning paths and assessments, evaluate readiness and manage certification, further training and recertification. - Practice what you teach. You’ll regularly join live customer projects as an FDE, keeping your skills sharp and showing what’s possible through hands on delivery. - Keep learning relevant. Track progress, gather feedback and use product changes and field experience to improve content, delivery and outcomes. Why should you - You’ll be part of what is tipped as the fastest growing startup in Europe. - Work on a cutting edge agentic solution, the hottest topic in enterprise right now. - You’ll join a team of high agency builders coming from the best tech companies out there. - Combine hands-on AI engineering with teaching, facilitation and customer partnership. - Own programs from curriculum through certification, shaping how Wonderful develops technical capability across employees, customers and partners. - See the impact of your work in the solutions people build and their ability to keep developing independently. - A mix of home office and travel to clients locally. - Great salary and early stage share options. What you’ll bring - 5+ years in technical enablement, customer education, technical training or a related role within SaaS, cloud, data or AI. - Fluent German and english - Strong hands-on AI engineering experience, including system architecture, LLM and agent integration, design patterns and modern software development practices. - A practical understanding of enterprise software, APIs, integrations and data flows, with the ability to learn and teach a complex platform. - A track record of designing and delivering technical onboarding, workshops and certification programs, from curriculum and assessments through to measuring results. - Strong instructional design and facilitation skills. You can make complex concepts clear, keep groups engaged and adapt to different levels of technical experience. - Credibility with technical stakeholders and the confidence to lead discussions, explain platform capabilities and connect learning goals to business needs. - An ownership mindset, excellent communication skills and a clear focus on helping people become self-sufficient. Apply here, everyone will get a response. Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice

Location: United States Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.   We’re looking for a Senior Analytics Engineer to join Kraken’s Finance Data Eng & Analytics team within Data Platform. You’ll build trusted financial data products, using automation and AI to reduce manual work and improve the close process. Working at the intersection of data engineering and accounting, you’ll turn complex financial data into reliable pipelines, models and automated reconciliations. You’ll use AI-assisted tools to accelerate development and investigations, keeping financial outputs tested and traceable.   THE OPPORTUNITY - You’ll work closely with Data Engineers, Finance and Platform Accounting to improve reporting and decision-making. Clear communication and collaboration will help you agree priorities, explain findings and drive adoption. - Partner with Finance to understand workflows, identify pain points and translate business needs into practical data and automation solutions. - Build and maintain automated workflows for data preparation, reconciliations, reporting and follow-ups, with clear controls, monitoring and exception handling. - Build intuitive dashboards and visualizations that help stakeholders understand performance, investigate issues and make decisions. - Resolve finance data issues and reconciliation breaks with Finance, Product and Engineering, addressing root causes and communicating progress. - Build scalable, reliable pipelines to collect, transform and curate data from internal platforms and external systems. - Support the design and rollout of a trusted finance data lake, with clear definitions, ownership and quality checks. - Improve data timeliness, enabling near-real-time insights where they add business value. - Evaluate new technologies, including AI-assisted automation, and prototype solutions to Finance needs that can be reliably supported in production.   WHAT YOU BRING - 7+ years of experience in data analytics and data management within financial services or a regulated industry, working directly with Finance teams. - Strong SQL and Python skills, including writing, debugging and maintaining production code. - Solid experience with Git, merge requests, and code reviews, supported by strong software engineering practices, including testing and documentation. - Hands-on experience building and operating pipelines and models using dbt, Spark, Airflow or comparable tools. - Direct experience with finance or accounting data, such as reconciliations, subledgers, cost basis or month-end close, including investigating discrepancies and validating outputs with accounting stakeholders. - A track record of owning pipelines end to end, making sound technical decisions and improving reliability as requirements and systems evolve. - Judgment and autonomy to lead complex work, navigate ambiguity and remain accountable for production outcomes. - Experience supporting recurring financial close activities, combined with a proactive approach to identifying manual processes and replacing them with reliable, sustainable automation. - Excellent communication skills, with the ability to collaborate across Engineering and Finance, explain complex technical issues, articulate financial implications, and recommend actionable solutions.   NICE TO HAVES - Experience with cryptocurrency transaction data and how digital-asset activity flows into financial records and reconciliations. - Experience processing large volumes of financial transactions using distributed frameworks such as Spark or PySpark. Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Brazil; Peru; Colombia; Argentina; Canada; Mexico; Chile Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.   We’re looking for a Senior Analytics Engineer to join Kraken’s Finance Data Eng & Analytics team within Data Platform. You’ll build trusted financial data products, using automation and AI to reduce manual work and improve the close process. Working at the intersection of data engineering and accounting, you’ll turn complex financial data into reliable pipelines, models and automated reconciliations. You’ll use AI-assisted tools to accelerate development and investigations, keeping financial outputs tested and traceable.   THE OPPORTUNITY - You’ll work closely with Data Engineers, Finance and Platform Accounting to improve reporting and decision-making. Clear communication and collaboration will help you agree priorities, explain findings and drive adoption. - Partner with Finance to understand workflows, identify pain points and translate business needs into practical data and automation solutions. - Build and maintain automated workflows for data preparation, reconciliations, reporting and follow-ups, with clear controls, monitoring and exception handling. - Build intuitive dashboards and visualizations that help stakeholders understand performance, investigate issues and make decisions. - Resolve finance data issues and reconciliation breaks with Finance, Product and Engineering, addressing root causes and communicating progress. - Build scalable, reliable pipelines to collect, transform and curate data from internal platforms and external systems. - Support the design and rollout of a trusted finance data lake, with clear definitions, ownership and quality checks. - Improve data timeliness, enabling near-real-time insights where they add business value. - Evaluate new technologies, including AI-assisted automation, and prototype solutions to Finance needs that can be reliably supported in production.   WHAT YOU BRING - 7+ years of experience in data analytics and data management within financial services or a regulated industry, working directly with Finance teams. - Strong SQL and Python skills, including writing, debugging and maintaining production code. - Solid experience with Git, merge requests, and code reviews, supported by strong software engineering practices, including testing and documentation. - Hands-on experience building and operating pipelines and models using dbt, Spark, Airflow or comparable tools. - Direct experience with finance or accounting data, such as reconciliations, subledgers, cost basis or month-end close, including investigating discrepancies and validating outputs with accounting stakeholders. - A track record of owning pipelines end to end, making sound technical decisions and improving reliability as requirements and systems evolve. - Judgment and autonomy to lead complex work, navigate ambiguity and remain accountable for production outcomes. - Experience supporting recurring financial close activities, combined with a proactive approach to identifying manual processes and replacing them with reliable, sustainable automation. - Excellent communication skills, with the ability to collaborate across Engineering and Finance, explain complex technical issues, articulate financial implications, and recommend actionable solutions.   NICE TO HAVES - Experience with cryptocurrency transaction data and how digital-asset activity flows into financial records and reconciliations. - Experience processing large volumes of financial transactions using distributed frameworks such as Spark or PySpark.       Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Настраивать и улучшать пайплайны в GitLab CI; Писать скрипты установки и удаления — чтобы всё работало «из коробки»;

Location: New York Via is on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, Via is recognized as the leading transportation technology and service provider globally. As the Director of AI Engineering, Internal Products at Via, you'll lead an engineering team that builds high-impact internal products using AI-native development practices, while pioneering a platform that enables people across the company to create their own software with AI agents. We call these empowered employees “nano engineers.” This is an opportunity to shape a new engineering discipline, solve problems across the business, and multiply our capacity to innovate. About the Role: Hands-on from day one: You’ll personally build and ship products, leveraging AI coding agents to move from idea to production, while gradually building and leading a team as the function grows. Build products that make our business run better - work closely with Finance, HR, Ops, Sales and Marketing to build internal systems that make business impact, build tools tools that help field teams surface operational insights, resolve exceptions and make better decisions in real time Rethink software development in the age of AI, using coding agents, AI-assisted development, automated testing, and new engineering workflows to accelerate the journey from identifying a problem to delivering a solution Lead the development of our AI-powered internal development platform, building the integrations, permissions, infrastructure, testing, deployment, and governance needed to make employee-created software reliable and useful Recruit, develop, and lead exceptional engineers, and define the architecture, engineering standards, operating model, and culture that will allow the team to scale its impact Partner with leadership across the company to identify the highest-impact opportunities for software and AI, and challenge conventional assumptions about what to build versus buy About You: An exceptional engineering leader with a strong technical foundation and experience building and shipping production software; you’ve led engineers, made sound architectural decisions, and delivered systems that people depend on. A hands-on AI-native builder. You’re excited to start by building products yourself - writing code, working with AI coding agents, and taking solutions from idea to production. As the function grows, you’ll recruit and develop a team around you, gradually expanding its capacity and impact. A pragmatic systems thinker who understands security, permissions, integrations, observability, testing, and maintainability, and knows how to apply the right level of rigor to each use case A product thinker who cares about the problem being solved, not just the technology, and can turn ambiguous needs into useful products Comfortable with ambiguity; you’re happy to move between strategy, architecture, hands-on building, and working directly with business teams An organizational multiplier, excited about enabling other people to solve problems independently Compensation and Benefits Base Salary Range: $250,000 - $290,000 per year plus variable pay and equity as part of a total compensation package. Final compensation will be determined by the candidate’s experience, knowledge, and skills. Comprehensive health coverage, with low-cost dental and vision plans. A 401(k) with company match and vesting. Fully paid parental leave for new parents, with extended leave options. Additional benefits (mental health, pet insurance, and other wellness perks). 20 days of paid time off (PTO) annually. There has never been a more exciting time to be on the cutting edge of public mobility. Ready to join the ride? Via is an equal opportunity employer. #LI-CG2

Глубокое понимание S3/Object Storage и distributed storage architecture.

Location: Vilnius 500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating. Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down. With 7M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better. The job We’re not chasing product–market fit. We’ve found it. Flo is used by 1 in 4 women aged 18–44 in the US. Last year, $200M raised. Earlier this year: 8.6M new installs, 2.8M user jump, That kind of scale doesn’t just happen. It’s engineered. That’s where you come in. We’re hiring Engineering Managers in Vilnius to lead a squad building the next generation of privacy-first, AI-powered health tools - and shipping them to a global audience. What you’ll do Lead and grow a high-performing team of engineers Set direction, ship fast, own outcomes Build systems that are reliable, scalable and secure Guide architecture decisions and unblock delivery Champion engineering quality, speed and autonomy Coach your team - hire, develop, promote Collaborate across disciplines to turn product ideas into reality What you bring 6+ years coding in Scala, Java, Kotlin or Objective-C/Swift Experience building distributed systems at scale 4+ years managing engineers and leading teams Solid track record of hiring, mentoring and building inclusive cultures Deep understanding of software engineering best practices and agile delivery Strong product mindset - you care about the user, not just the stack Nice to have Exposure to ML or data-powered products Full-stack experience Hands-on with CI/CD and DevOps tooling Background in consumer tech or mobile apps A/B testing know-how Salary Range - gross per month (ranges may vary based on skills and experience) €10.000 — €12.000 EUR How we work We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar. You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it. What you'll get We support impact with meaningful reward. Here’s what that looks like: Competitive salary and annual reviews Opportunity to participate in Flo’s performance incentive scheme Paid holiday, sick leave, and female health leave Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents Accelerated professional growth through world-changing work and learning support In-person collaboration and work in a hybrid model, with 3 days per week spent in the office 5-week fully paid sabbatical at 5-year Floversary Flo Premium for friends & family, plus more health, pension and wellbeing perks Diversity, equity and inclusion Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our privacy notice for job applicants .

Location: London 500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating. Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down. With 7M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better. The job We’re not chasing product–market fit. We’ve found it. Flo is used by 1 in 4 women aged 18–44 in the US. Last year, $200M raised. Earlier this year: 8.6M new installs, 2.8M user jump, That kind of scale doesn’t just happen. It’s engineered. That’s where you come in. We’re hiring Engineering Managers in London to lead a squad building the next generation of privacy-first, AI-powered health tools - and shipping them to a global audience. What you’ll do Lead and grow a high-performing team of engineers Set direction, ship fast, own outcomes Build systems that are reliable, scalable and secure Guide architecture decisions and unblock delivery Champion engineering quality, speed and autonomy Coach your team - hire, develop, promote Collaborate across disciplines to turn product ideas into reality What you bring 6+ years coding in Scala, Java, Kotlin or Objective-C/Swift Experience building distributed systems at scale 4+ years managing engineers and leading teams Solid track record of hiring, mentoring and building inclusive cultures Deep understanding of software engineering best practices and agile delivery Strong product mindset - you care about the user, not just the stack Nice to have Exposure to ML or data-powered products Full-stack experience Hands-on with CI/CD and DevOps tooling Background in consumer tech or mobile apps A/B testing know-how Annual Salary Range (ranges may vary based on skills and experience) £130,000 — £150,000 GBP How we work We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar. You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it. What you'll get We support impact with meaningful reward. Here’s what that looks like: Competitive salary and annual reviews Opportunity to participate in Flo’s performance incentive scheme Paid holiday, sick leave, and female health leave Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents Accelerated professional growth through world-changing work and learning support In-person collaboration and work in a hybrid model, with 3 days per week spent in the office 5-week fully paid sabbatical at 5-year Floversary Flo Premium for friends & family, plus more health, pension and wellbeing perks Diversity, equity and inclusion Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our privacy notice for job applicants .

Location: Amsterdam, Netherlands At Catawiki, every day brings the extraordinary! Whether it’s Daniel Ricciardo’s Formula 1 Car , a Woolly Mammoth’s Skeleton , Lady Gaga's Jumpsuit or Usain Bolt’s running shoe , we encounter exceptional objects every day. We’re a one-of-a-kind marketplace for buying and selling special objects. Each week, more than 100,000 unique items are auctioned, all carefully curated by our passionate in-house experts. Having sold over 25 million unique objects, our mission is to become the world’s most popular destination for special objects. As a growing, diverse and sustainable scale-up, we proudly live by three core values. If these values resonate with you, we’d love to explore how you can join us. Taking ownership and driving impact Being open to change and feedback Being passionate about our mission and our customers. Your mission As Senior Manager – Data Engineering & Machine Learning, you’ll lead Catawiki’s established team of Data Engineers and Machine Learning specialists. You’ll help the team grow, set its technical direction and build on work already underway across data foundations and production machine learning. The role spans two connected disciplines. You’ll bring deep experience in either Data Engineering or Machine Learning Engineering, and enough breadth to set direction across the other. You’ll partner with Product, Engineering, Analytics and business stakeholders to set priorities and connect the team’s work to outcomes across Catawiki. What you'll do You’ll lead the team through platform modernisation and product-facing ML work. Current priorities include modernising the infrastructure for serving production models, introducing a feature store to improve feature management and consistency across model training and serving, and strengthening observability and cost controls. You’ll help set priorities and raise the reliability and impact of this work. Lead and develop the team: Set direction, coach experienced specialists and create clear ownership across Data Engineering and Machine Learning. Build dependable data foundations: Improve the pipelines, integrations and infrastructure the wider Data team relies on for analysis, reporting and machine learning. Strengthen production ML: Improve deployment, monitoring and operational follow-through for production models, so teams can run them reliably and resolve issues effectively. Advance marketplace models: Help teams improve recommendation, cancellation and bidder-risk use cases, connecting model performance to meaningful product outcomes. Set direction and priorities: Work with Product, Engineering, Analytics and business partners to choose high-value problems and balance delivery, reliability and long-term platform health. Shape the technology strategy: Reporting to the SVP Engineering, you’ll join the Engineering Management team and help shape the direction of the Technology department. What you'll bring You combine strong technical judgement with experienced people leadership. You create clarity in a complex environment, empower specialists and make sound decisions across both disciplines. Your experience will include the following. Familiarity with Catawiki’s current stack is useful, and equivalent experience with other platforms is welcome. Technical depth in one discipline: Deep experience designing, building and operating data-intensive systems in Data Engineering or Machine Learning Engineering, with practical knowledge of the other. People leadership: Experience leading experienced engineers or ML specialists, coaching their growth and setting clear expectations. Architecture and systems thinking: Ability to evaluate trade-offs and guide architecture for data platforms, distributed systems and production infrastructure. Production ML understanding: Experience with the deployment, monitoring and operation of machine learning systems in production. Business and product judgement: Ability to connect technical work to business goals, make priority calls and assess outcomes. Relevant cloud platform experience: We run on GCP using BigQuery, Vertex AI and Kubernetes. Experience with equivalent AWS services is also relevant. Streaming and integration experience: Kafka, event-driven systems or modern data integration tools are useful. Clear communication: Ability to explain technical trade-offs and align technical and non-technical stakeholders. How we work You’ll lead a team of eight Data Engineers and Machine Learning specialists across Amsterdam and Lisbon. The team works closely with Product, Engineering, Analytics and business stakeholders to connect data and ML capabilities to real needs. Specialists own implementation while you set direction, priorities and clear standards. The team supports production data and ML systems, and has no on-call rotation. Where you'll be This is a hybrid role in Amsterdam. You will work from our Amsterdam HQ a minimum of 2 days per week. Why You'll Love Working with Us Create a visible impact by working at scale in a global organisation serving millions of customers across 80+ categories. In our flat structure, every role has a broad scope and directly impacts both our customers and the business. Learn and grow through our Learning & Development initiatives, including clear development plans and mentorship programmes to support your career progression. A culture of connection defines us . We’re a passionate, diverse team of 800+ Catawikians representing 60+ nationalities. We foster an inclusive and queer-friendly environment where everyone is encouraged to bring their full self to work. Celebrate life’s moments with us. You’ll receive a €100 Catavoucher when you join, a €50 Catavoucher on your birthday, and an extra day off each year to “Pursue Your Passion ” . We also offer additional leave for key work anniversaries and important life events. Benefits may vary by location. Our Offices and Way of Working Our vibrant offices in Amsterdam and Lisbon are designed to inspire collaboration. Most Catawikians operate in a hybrid setup, combining office-based and remote work, with a minimum of two days per week in the office, unless a role is explicitly stated as fully remote or fully office-based. Interested? Apply with an English CV and Cover Letter. By applying, you agree to Catawiki’s Applicant Privacy Policy. If you’re excited about this role but don’t meet every requirement, we still encourage you to apply anyway. You may be just the right candidate for this or other roles. We may use artificial intelligence (AI) tools to support the review of your application. AI may help us assess how your experience matches the requirements of the role, but hiring decisions are always made by our recruitment team

Location: Espoo Workplace: Hybrid ROLE HIGHLIGHTS: - IT Engineer - Location: Espoo, Finland - Department: IT Service & Operations - Reports to: IT Support and Assets Lead - Employment type: Permanent - Workplace model: Hybrid - Employment is subject to applicable security screening (incl. SUPO, where required) WHY THIS ROLE MATTERS:   As an IT Engineer you will provide critical IT support and administration for our global workforce, ensuring operational continuity with a specialized focus on endpoint management, access control, and our audiovisual solutions. As a key member of our global IT team, your primary function is to support our worldwide operations. You will be responsible for ensuring the reliability of our daily IT systems, operating and maintaining our AV and meeting room solutions, and assisting users globally. You will have previous IT experience and be capable of handling a variety of technical challenges within our established systems. In this role, you will blend dedicated endpoint and Identity & Access Management (IAM) operations with broader support duties, ensuring smooth and secure workflows for our global workforce.   WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.   ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.   ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.   Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. YOUR DAY-TO-DAY RESPONSIBILITIES   - Global IT Support: Serve as a central pillar of our global IT operations by handling and resolving daily support requests, troubleshooting access, endpoint, and secure communication issues for staff worldwide. - VIP & Executive Support: Act as a trusted point of contact for VIP and executive support requests, providing rapid response times and prioritized resolution to keep leadership productive and business-critical activities uninterrupted. - Maintain Secure Communications Uptime: Operate, support, and troubleshoot our secure communications platforms and associated endpoint configurations to ensure continuous, encrypted, and reliable communication for critical operations. - Meeting & AV Solutions: Operate, support, and troubleshoot our meeting room and audiovisual (AV) solutions to ensure reliable, high-quality collaboration for local and global meetings. - Endpoint & Lifecycle Operations: Execute device provisioning workflows, apply standard MDM configurations, and ensure patching compliance across our hardware fleet (Windows, macOS, Linux) using established procedures. - Identity & Access Management (IAM): Administer daily user access, SSO assignments, and permissions management for local and global operations, primarily utilizing Okta. - Site Documentation: Create and maintain clear operational documentation for secure communications procedures, MDM configurations, and common issue resolutions.   WHAT WE’RE LOOKING FOR Must haves: - Previous experience in a hands-on IT support, systems administration, or IT engineering role. - Solid troubleshooting skills across multiple operating systems, specifically Windows, macOS, and hands-on experience working with Linux environments, including command-line administration, configuration, and troubleshooting. - Practical experience operating modern endpoint management tools (e.g., Intune, Kandji, Workspace One, Puppet, Ansible). - Familiarity with identity and access management (IAM) platforms; specific experience with Okta is highly desirable. - Proven experience working with complex AV and meeting room solutions (e.g., Logitech, Microsoft Teams Rooms, Crestron, Q-SYS, Extron), including setup, support, and troubleshooting; experience with custom-built AV setups for large event spaces is highly appreciated. - Good understanding of networking fundamentals (TCP/IP, DNS, DHCP, switching, VPNs) and experience troubleshooting secure network connectivity issues. - Experience working with an enterprise IT Service Desk ticketing system. - Ability to handle VIP support requests with urgency, discretion, and a strong service mindset, delivering speedy response times under pressure. - Ability to manage daily operational priorities and communicate technical concepts clearly to non-technical users.   Nice to haves: - Experience with ITSM tools such as Jira Service Management, ServiceNow, or Freshservice, including working to SLAs. - ITIL Foundation certification or a good understanding of ITIL practices (incident, request, and problem management). - Experience running onboarding and offboarding for new and departing employees, including hardware setup and account handover. - Hands-on experience with hardware troubleshooting, repairs, and managing IT asset inventory.   APPLICATION PROCESS - TA Screen (30 mins) - Interview with hiring manager (60mins) - Interview with Stakeholder team (30 min) WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.   OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Paris, France Workplace: Hybrid About Ledger We’re a team of experts pushing the limits of what’s possible, united by our common goal to unlock true freedom through digital ownership, making technology accessible for all. We believe in a world where users, creators and enterprises manage their value with ownership and freedom. Our curiosity drives us to innovate, empowering individuals on a global scale. We believe change is constant and our team moves forward as one, with a culture of problem-solving where every employee is empowered and supported to challenge tradition and create solutions. Our mission is simple: to make self-custody accessible and give people the keys to their own financial futures. If you want to make a true impact, we want you to join us at Ledger. At Ledger, we’re proud to be the global platform for digital assets and Web3, with over 20% of the world’s crypto assets secured through our Ledger devices. With our headquarters in Paris, and offices in Vierzon, Grenoble, Montpellier, London, Portland, Geneva, Zurich and Central Singapore, we have a team of around 600 professionals developing a variety of products and services to enable individuals and companies to securely buy, store, swap, grow and manage crypto assets – including the Ledger hardware wallets line with more than 7.5 millions units already sold in 200 countries. The Ledger Devices team is growing. We are taking secure hardware products for Web3 to the next level. Come be part of a very ambitious roadmap at the most respected brand in the industry. We are looking for a senior Mechanical Engineering Lead to help us drive the design of our next generations of products. Reporting to the head of engineering, you will be responsible for all aspects of the Mechanical architecture. What you will do: - Lead the Mechanical design / architecture choices. - Drive complex integrations of components and structure. - Own the CAD and integrate all constraints from antenna, PCBA, connectors, …etc. - Define and Validate reliability testing specifications. - Drive molds and Tooling processes. - Own exec relationships with key suppliers. - Lead/build a team, teach best practices, and develop junior colleagues. - Communicate with the extended hardware and firmware team members to ensure smooth program delivery. - Drive DFM efforts, and Contract Manufacturer delivery of the chosen design. - Lead the CMF definition of Ledger devices, at the intersection of product vision, industrial design requirements and manufacturing constraints. - Prototype and debug devices in the lab, and perform device teardowns. - Present clearly the technical choices and trade offs to the leadership team. What we are looking for: - 7+ years of experience in the consumer electronics industry, or in an industry where the skillset transfers well (e.g. Medical devices, Wearables, Telecom, IoT…etc.) - Track record shipping devices to market successfully - Experience in kicking off tools and processes at scale. - Strong CAD skills in SolidWorks (preferred) or equivalent (e.g. Creo, Onshape), with a good grasp of GD&T. - Proficient in tolerance analysis (arithmetic & statistical), and able to plan, conduct and review statistical process control (SPC) studies. - A practical, hands-on engineer, comfortable troubleshooting directly in the lab and on the line. A natural leader that can develop and inspire others. - Ability to thrive in a fast-paced environment. - Willingness to deal with uncertainty and change. - Curiosity about the crypto / blockchain industry a big plus At Ledger, we are dedicated to continually investing in our employees which is why we offer more than just salaries; we provide comprehensive compensation packages that include a wide range of benefits. Here are some of the benefits you can look forward to: - Flexible work options - Our hybrid policy allows employees to work from home up to 3 times per week - Health & Wellness support - Health and Life Insurance. - Financial growth opportunities - Employees can become shareholders in Ledger as well as other financial benefits depending on your country of work. - Commuter allowance - Ledger offers a commuter allowance to contribute to your preferred means of transportation. - Learning & Development - A comprehensive suite of training solutions providing a personalised learning experience for every employee. For regionally specific benefits, your Talent Acquisition contact will be able to provide you with more information. We’re committed to building an inclusive hiring process. If you need any adjustments or accommodations, just let us know, we’ll do our best to support you.

We're looking for someone with experience in Forex / FinTech / Brokerage support and strong knowledge of MT4/MT5. Spotware Systems is hiring an experienced Customer Support Engineer to join our team in Limassol, Cyprus.

Задачи: — Автоматизация торговых операций — Разработка моделей управления рисками на основе искусственного интеллекта — Анализ эффективности торговых операций Требования: — Опыт работы с машинным обучением — Знание SQL — Опыт работы с большими языковыми моделями (LLM) — Опыт работы с LangChain — Знание MLOps — Опыт обнаружения аномалий — Опыт финансового контроля — Владение Python — Опыт работы с OpenAI API Условия: — Гибридный формат работы в Лондоне

Nscale is looking for an Infrastructure Operations Engineer to deliver data centre projects, monitor critical systems, resolve incidents, automate operations, and support customer infrastructure needs.