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Location: Berlin Office; Bosnia; Norway; Estonia; Latvia; Slovenia; Netherlands; Hungary; Portugal; Poland; Serbia; Austria; Finland; Montenegro; London Office; Albania; Lithuania; Slovakia; Ireland; Bulgaria; Denmark; Belgium; Czech Republic; United Kingdom; Croatia; Spain; Greece Workplace: Remote The AI orchestration of your wildest imagination. n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact. Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve: - Cultivated a community of more than 650,000 active developers and builders - Earned 190K+ GitHub stars, making us one of the world’s Top 40 most popular projects - Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register http://app.n8n.cloud/register. We’re in a defining moment of an incredible journey. Come and build with us. 🎯 Your main goal will be to build and lead a high-performing regional Forward Deployed Engineering (FDE) team that accelerates enterprise customer adoption by turning high-impact automation use cases into production-ready workflows. You'll own technical delivery quality, team development, and regional execution, while staying hands-on and empowering customers to become independent, successful builders. To achieve this, you'll focus on four key areas: BUILD & LEAD A HIGH-PERFORMING FDE TEAM - Hire, onboard, and coach Forward Deployed Engineers across your region, partnering closely with Deployment Strategists to deliver high-impact customer engagements. - Set and maintain a high technical quality bar for production workflows, custom nodes, integration architectures, and customer-facing delivery. - Manage regional team capacity, workload, and staffing while staying hands-on with customer engagements and supporting your team's technical development. OWN REGIONAL DELIVERY & CUSTOMER OUTCOMES - Lead regional engagement intake and prioritization with Customer Success, Sales, and Partnerships, focusing resources on high-value accounts, strategic adoption opportunities, and at-risk renewals. - Qualify and scope customer engagements, selecting the right mix of internal FDEs and delivery partners while ensuring clear success criteria, technical ownership, and timelines. - Drive measurable customer outcomes through production-ready workflows, increased adoption, and seamless handovers to Customer Success Managers, while reporting regional results and expansion signals to leadership. ENABLE CUSTOMERS & SCALE TECHNICAL EXCELLENCE - Champion a customer-first delivery approach where customers build alongside FDEs, develop technical confidence, and become capable of maintaining and scaling their own automations. - Create and continuously improve reusable technical assets, including workflow templates, reference architectures, workshop materials, and hackathon playbooks. - Capture learnings from customer engagements and turn them into scalable best practices that improve delivery quality and consistency across the global FDE team. DRIVE PARTNER QUALITY & CROSS-FUNCTIONAL COLLABORATION - Collaborate with regional partner managers and the Partner Delivery Manager to ensure partner-led engagements meet n8n's technical and delivery standards. - Support partner technical readiness, certification, and quality reviews to build a reliable regional ecosystem of delivery resources. - Work closely with Product and Engineering to translate customer feedback, integration gaps, feature requests, and custom node needs into actionable priorities, balancing reusable product improvements with customer-specific solutions. REQUIREMENTS MUST-HAVES - 🛠️ Technical Customer-Facing Experience: You have 6+ years of experience in forward deployed engineering, solutions engineering, professional services, or technical consulting within a software company. - 🌟 Technical Leadership: You have 2+ years of experience leading and coaching technical teams, with a track record of developing talent and raising the bar for customer-facing technical delivery. - ⚡ Automation & Integration Expertise: You have hands-on experience with workflow automation, integration platforms, or low-code tools and can confidently design and troubleshoot complex automation solutions. - 🏗️ Enterprise Technical Delivery: You're experienced in building production-ready workflows and integrations, with a strong understanding of APIs, authentication, data handling, security, and enterprise architecture considerations. - 🤝 Cross-functional Collaboration: You're comfortable working across Sales, Customer Success, Product, Engineering, and Partnerships to align priorities, manage expectations, and make thoughtful trade-offs. - 🎯 Customer Outcome Mindset: You know how to balance technical excellence with business impact, identify high-value use cases, and empower customers to become self-sufficient rather than dependent on ongoing services. - 🚀 Player-Coach Mentality: You enjoy staying close to the technology and customer challenges while building a high-performing team, creating repeatable processes, and scaling delivery in a fast-moving environment. - 🌍 Regional Availability: You're based in the relevant region (EMEA or North America) and comfortable traveling to customer sites when needed. NICE-TO-HAVES - 💻 n8n Expertise: You're familiar with n8n or similar workflow automation and low-code platforms, ideally with experience building complex production workflows. - 🤝 Partner Ecosystems: You have experience working with systems integrators, technical consulting partners, or external delivery teams to deliver enterprise customer engagements. - 🌱 0-to-1 Team Building: You've helped establish or scale a regional technical delivery team, including hiring, defining processes, and building a strong team culture from the ground up. Why join us? At n8n, you'll have the opportunity to build and shape a regional Forward Deployed Engineering team at a pivotal moment in our enterprise growth journey. You won't just lead engineers — you'll help define how we deliver technical excellence, accelerate customer adoption, and turn ambitious automation ideas into real business outcomes. You'll combine hands-on technical work with people leadership, working closely with Customer Success, Sales, Partnerships, Product, and Engineering to influence how we scale customer delivery across your region. Your work will directly contribute to getting more workflows into production, helping customers become independent builders, and creating scalable technical practices that benefit our global FDE organization. You'll join one of Europe's fastest-growing startups and a supportive, remote-first team that values autonomy, experimentation, collaboration, and continuous learning. Sound like a challenge you're excited to take on? Apply now — and help us build the future of automation. n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status. We can sponsor visas to Germany; for any other country, you need to have existing right to work. Our company language is English. You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n https://www.notion.so/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35?pvs=21 (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35). Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. BENEFITS - Competitive compensation 💸 – We offer fair and attractive pay. - Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity. - Work/life balance 🏖️ – We work hard but ensure you have time to recharge: - Europe: 30 days of vacation, plus public holidays wherever you are. - US: 20 vacation days, 8 sick days, plus public holidays wherever you are. - Health & wellness 🩺 – - Europe: We provide benefits according to local country norms.* - US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage. - Future planning 💰 – - Europe: We provide pension contributions according to local country norms.* - US: 401(k) retirement plan with a 4% employer match. - Financial security 🛡️ – - Europe: We provide benefits according to local country norms.* - US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones. - Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills. - A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it! - Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description. - Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about. - Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang. *Country and/or State specific details provided in your employment agreement.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The Ranking Platform team builds and runs the services that coordinate contextualized and personalized ranking on Reddit. We build infrastructure, including a scatter-gather ranking coordination service, feature indexes, and scalable data pipelines that power personalized feeds, search, and other Reddit products. We partner closely with machine learning engineers who develop and productionize models, and with ML Platform teams that build inference and training services and feature stores. Our team mantra is “Intention over Attention.” We help users fulfill their intention for visiting Reddit by connecting them with relevant content and communities. We are a team of builders who value impact, personal growth, openness, and kindness. How You’ll Have Impact As Engineering Manager for Ranking Platform, you will lead the team building a robust, scalable, reliable, and performant ranking and indexing platform. You will partner with senior engineers, backend architects, product managers, and ML leaders to translate product needs into a clear platform strategy and deliver it from ideation through production. You will be accountable for the team’s health, growth, execution, and operational excellence. Working with technical leaders, you will guide architecture and investment decisions, improve the experience of teams building on the platform, and balance new capabilities with reliability, latency, and infrastructure cost. What You’ll Do Lead: Set the team’s direction and roadmap with senior engineers and partner teams. Select, scope, and deliver high-impact initiatives that evolve the ranking coordination services, ML indexes, and data pipelines supporting Reddit’s feeds and discovery experiences. Build: Hire, onboard, and develop a high-performing engineering team. Set clear expectations, provide actionable feedback, manage performance, and create growth opportunities for engineers at different career stages. Maintain direct feedback loops with engineers using the platform, and use their feedback and adoption patterns to guide investment. Amplify: Coach engineers and technical leaders, delegate meaningful ownership, and build a culture of technical excellence, inclusion, and knowledge sharing. Protect engineers’ focus time by removing blockers, reducing unnecessary interruptions and keeping processes lightweight. Deliver: Turn multi-quarter platform investments into achievable milestones. Manage dependencies and risks, communicate tradeoffs and progress, and adapt priorities as partner and business needs evolve. Operate: Drive operational excellence through incident response, blameless postmortems, observability, safe rollouts, and proactive system hardening. Establish clear reliability and performance goals and use them to guide investment. Plan realistically for on-call work and unexpected requests, make reprioritization explicit and address unsustainable operational load. Collaborate: Build strong partnerships with Feed, Search, Ads, ML Platform, and infrastructure teams. Align roadmaps, resolve competing requirements, and make platform capabilities easier to adopt and operate. Evolve: Guide architectural improvements and engineering best practices that make ranking systems more efficient, maintainable, and scalable. Create space for experimentation and continuous learning while holding a high bar for production readiness, spotting unnecessary complexity and recognizing where simplification or consolidation would improve maintainability and help teams work more effectively. What We’re Looking For 5+ years of people management experience leading high-performing engineering teams, including hiring, coaching, career development, and performance management. 7+ years of experience building large-scale backend distributed systems, including substantial experience developing and shipping production software. Experience leading teams or major initiatives in ML infrastructure, recommendation or ranking systems, indexing, or streaming and batch data pipelines. Strong technical judgment in high-throughput platform services and APIs, with the ability to guide tradeoffs among reliability, latency, scalability, data freshness, and cost alongside senior engineers. A track record of defining technical direction and delivering platform initiatives across multiple quarters and teams, with clear prioritization and measurable outcomes. Experience improving production operations through deployment automation, monitoring, system diagnosis, incident management, and reliability engineering. High empathy, excellent organizational and communication skills, and the ability to build consensus across engineering and product teams. You can explain complex technical decisions to technical and non-technical audiences and lead effectively in a distributed environment. Experience with Go or Python; Kubernetes, Docker, AWS, or GCP; data systems such as Redis, Postgres, Memcached, Solr, or Milvus; and streaming frameworks such as Apache Beam or Flink is a plus. BS degree in Computer Science, a similar technical field, or equivalent practical experience. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $230,000 — $322,000 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: New York Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. We are looking for an experienced Trading Systems Software Engineer to help build the applications, platforms and engineering capabilities that support QRT’s global trading environment. This is a broad software engineering role spanning application development, distributed systems, cloud technology, deployment automation and production engineering. You will design and build software used by traders, quantitative researchers, operations teams and other engineers across the firm. Your Future Role within QRT Design, develop and maintain production-grade applications, services and APIs supporting QRT’s trading platform. Build shared platforms and reusable capabilities that can be adopted across multiple trading desks and engineering teams. Develop modern web applications and operational tools that improve visibility, control and efficiency across trading workflows. Design scalable distributed and event-driven systems that integrate with trading platforms, market data services and internal infrastructure. Build deployment tooling, release automation and self-service capabilities that make software easier and safer to deploy and operate. Develop automated workflows for data processing, operational tasks and engineering processes using technologies such as Apache Airflow. Partner with traders, quantitative researchers and operations teams to understand their needs and solve practical business problems. Design software for latency-sensitive environments, balancing performance with reliability, scalability and operational simplicity. Build observable and resilient systems with appropriate monitoring, alerting, recovery and failure-handling capabilities. Work alongside infrastructure, cloud and DevOps engineers to deploy and support software across global production environments. Contribute to technical design and architectural decisions, evaluating new technologies where they can deliver meaningful value. Take ownership of software throughout its lifecycle, from initial design and implementation through to production support and continuous improvement. Your present skillset At least five years of experience developing and supporting production-grade software. Strong programming and software engineering skills in one or more languages such as Python, Java, Go, Node.js or C++. Experience designing maintainable, testable and scalable applications and services. A strong understanding of software design principles, data structures, algorithms and engineering fundamentals. Experience building RESTful APIs, distributed systems or event-driven architectures. Exposure to containerisation, orchestration and delivery technologies such as Docker, Kubernetes and CI/CD pipelines. Experience with public cloud technologies, preferably AWS. An understanding of messaging technologies such as Kafka or RabbitMQ. Experience considering reliability, observability, performance and failure recovery when designing production systems. Strong analytical and problem-solving skills, with the ability to make sound engineering decisions and explain the associated trade-offs. The ability to work effectively with both technical and non-technical stakeholders. Base salary range for this position is $180,000 to $300,000 per year. QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.

Location: Minsk; Tbilisi; Chișinău; Warsaw Workplace: remote Our National Retail Solutions brand is a highly successful Point-of-Sale (POS) SaaS business, rapidly expanding into new sectors with over 40,000 Point of Sale terminals in independent retailers like: convenience stores, bodegas, liquor stores, small grocers, and tobacco shops. We’re looking for a technical Engineering Manager , with strong experience building highly scalable and robust systems focusing on: Technical Leadership Team Building: Hiring, Mentoring Engineering Processes You’ll work cross-functionally with product management, engineering, operations, go-to-market teams, and executive leadership to create intuitive, scalable products that address the needs of our customers. This is an opportunity to build meaningful products from the ground up in a fast-moving environment where customer empathy, speed, and product quality matter. We expect you to have: Engineering Experience: 5+ years building frontend and backend systems using SQL and other databases, with hands-on experience defining system architecture. Technical Leadership: A minimum of 3+ years in a technical leadership role, directly managing engineers. Architecture at Scale: A proven track record of driving large-scale distributed systems and/or complex platform architectures. Development Processes: Practical experience working within Agile methodologies. Talent Development: Demonstrated success growing engineering organizations and building career development frameworks. Core Technologies: Strong proficiency with Node.js and Vue.js. DevOps & Tooling: Solid experience with CI/CD pipelines and Docker containerization. AI-Assisted Engineering: Experience leveraging AI tools for the design, development, and testing of production-grade systems. Communication & Influence: Skilled at presenting to both technical and non-technical audiences, including executive leadership. Language Proficiency: Command of English at the B2 level or higher. Time Zone: Ability to overlap with US Eastern Time for at least 4 hours per day. Will be a plus: Professional fluency in Russian. Experience with AngularJS, PHP, and PostgreSQL. Experience with document databases and caching frameworks. Experience building Point-of-Sale (POS) and/or e-commerce systems, as well as working with payment systems. We offer: Hybrid/office in Belarus or remote b2b in Poland/Georgia/Moldova. Stable job with long-term growth perspective. Competitive salary with annual performance review. Really good hardware. An exciting and challenging job with talented people around. Continuous learning and career growth opportunities. Compensation for professional training, seminars, and conferences. Referral program – get rewarded for helping us grow the team with talented people. Company-supported English classes to enhance your professional growth. More perks for the Minsk office employees. A few words about us: IDT Corporation is a global communications company founded in 1990 and headquartered in Newark, New Jersey. We are industry leaders in prepaid communication and payment services and one of the largest international voice carriers. We are listed on the NYSE, employ over 1800 people across 20 countries, and have over $1.5 billion in revenues. We are not ”another big IT corporation”— we encourage and support in-house entrepreneurs in developing their ideas into business actions. Our National Retail Solutions brand provides a sales management system and POS equipment to small and medium-sized businesses. With the help of NRS, business owners can solve a management problem: the product includes integrated advertising, data analysis, and payment processing.

Превращать телеметрию автономного транспорта в данные, удобные для анализа: разрабатывать и запускать Spark-пайплайны, продумывать преобразования и проверки качества. Подключать новые источники данных: разрабатывать интеграции с различными системами и обеспечивать надёжную загрузку данных в хранилище.

* Build and operate batch and incremental ingestion pipelines in Google Cloud to Smartly Data Platform. * Develop Airflow workflows using Python with best orchestration practices, including dag dependencies, retries, backfills, alerting, and recovery.

Location: Intellias Meet your recruiter Gerasim Naydenov gerasim.naydenov@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 Lead 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. 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 We’re helping a US digital-health platform get its patients’ medical data in order: lab results, diagnoses, medications, visits and more. The data comes from many different clinics and labs, each with its own format, so right now it’s pretty messy. Our job is to clean up and standardize that data close to the source, bring scattered logic into one place, and see the real data quality every day instead of guessing. Data engineers will work mostly in Databricks/Spark, building pipelines, reference data and quality checks together with the dev team and clinical experts. 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 Lead-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: Bangalore - Engineering Workplace: OnSite LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? Your mission We see boundless potential in the way we live. It drives the way we work. Our culture is our most valuable asset. It acts like a compass for us. We are fast, immersed, humble and bold. And thatʼs not just words on the walls. Eliminating time-consuming tasks means people get to do more of what they love. Itʼs an inspiring, high stakes challenge that motivates us, and this common passion bonds UiPath employees globally. We all strive every day to be better and to accelerate human achievement. We make software robots, so people donʼt have to be robots. Would you like to be part of this journey? At UiPath's Site Reliability team, we build the platforms and systems the entire company depends on to deliver on our compliance and SLA promises to customers. These span services and tools that enforce cloud access policies, cost governance, observability, operational excellence, and reliability across UiPath. We are scaling each of these pillars, and building the next generation of capabilities on each, powered by AI. This is a software engineering role. You will not be the person who identifies a reliability gap and files a ticket for another team to fix. You are the engineer who identifies the gaps across teams, designs the system that closes it, builds it, ships it, and drives its adoption — often by doing the integration work yourself rather than asking other teams to come to you. You build platforms that other engineers depend on in their critical path, and you hold yourself accountable to outcomes, not outputs. You treat every system you ship as a product: you put it in front of users early, seek feedback aggressively, and iterate until it delivers real results. If adoption is slow, you donʼt blame the docs — you sit with the team, understand the friction, and remove it. What you will be doing at UiPath As a Principal Software Engineer, you will - Design, engineer, and build SRE platform systems and capabilities with cutting-edge AI, treating them as products that other engineering teams depend on in their critical path. - Participate in livesite monitoring rotations, handle escalations, and drive effective mitigations — aggressively reducing customer impact through broad, detailed, and effective postmortems. - Drive availability, scalability, and performance improvements based on livesite learnings. Generate (or codify existing) best practices and ensure they are followed widely across UiPath — not by publishing guidance, but by embedding them into the systems you build. - Ensure technical deliverables meet or exceed expectations on reliability, scalability, quality, and performance. Identify and drive architectural changes that significantly move the needle on these dimensions. - Onboard other teams onto your platforms by driving outcomes yourself — writing the integrations, pairing with their engineers, removing friction — rather than handing off documentation and waiting. - Ship early, seek feedback relentlessly, and iterate fast. Treat every user complaint as a design input, not a support ticket. - Drive task planning, estimation, scheduling, and staffing. - Mentor Software Engineers to develop their skills and knowledge through hands-on coaching, advice, and training opportunities. - Participate in and influence process improvements and best practices across the engineering organization.   What youʼll bring to UiPath - Proven track record (10+ years) of architecting and engineering world-class, large-scale, distributed commercial applications and services, and ensuring customer success. - Experience building large-scale, complex internal platforms adopted by 10+ teams in their critical path at a large company — systems that have stood the test of time, not prototypes that were handed off or abandoned. - Demonstrated ability to drive adoption of your systems by doing the hard work yourself: writing integrations, removing friction for other teams, and measuring success by outcomes delivered — not features shipped. - Experience building and maintaining complex AI-powered applications in production. - Proficiency in one or more object-oriented languages (such as C#, C++, Go, or Python), backed by solid computer science fundamentals. - Deep understanding of data structures, algorithms, multithreading, synchronization, asynchronous patterns, and cloud programming. - Experience with service-oriented and microservice-based architectures, HTTP applications, and web services development. - Familiarity with modern engineering practices including agile development, CI/CD, and DevOps. Ability to work with globally distributed teams. - Experience working with or managing production Kubernetes infrastructure is a plus. - Experience with any of the cloud providers (Azure, AWS, GCP) and managed services (AKS, GKE, etc.) is a must. - Experience with database backends (e.g., Azure SQL, CosmosDB, Azure Data Lake, Power BI, MongoDB, MySQL, DynamoDB, etc.) #LI-VR1 Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.

Location: Intellias Meet your recruiter Viktoriia Tochylova viktoriia.tochylova@intellias.com https://www.linkedin.com... Vacancy details AI/ML Engineering Machine Learning Engineer Senior Bulgaria, Croatia, Poland, Portugal, Spain Remote APPLY NOW REFER A FRIEND Over 20 years of market experience, Intellias brings together technologists, creators and innovators in Europe, North and Latin America, and the Middle East. Join our international team and take the mission to solve the advanced tech challenges of tomorrow! What project we have for you Join a transformative data and AI platform initiative aimed at modernizing enterprise-scale capabilities and enabling real-time decision-making. This project delivers a comprehensive roadmap covering AI, MLOps, data governance, and platform scalability, supporting a shift towards data-first operations and intelligent automation. What you will do Lead the ideation, design, and execution of AI proofs-of-concept and end-to-end machine learning systems, from research and experimentation through to scalable production deployment. Develop and implement machine learning and AI systems across domains including Computer Vision, NLP, and Generative AI, solving complex business and product challenges. Collaborate cross-functionally with engineering, product management, and business stakeholders to translate business objectives into scalable AI-driven capabilities and production-ready solutions. Architect and maintain production-grade AI systems across the full lifecycle, including data ingestion, feature engineering, model training, retrieval pipelines, orchestration layers, deployment, evaluation, and monitoring. Design and implement Retrieval-Augmented Generation (RAG) pipelines, semantic search systems, and multi-agent workflows, selecting appropriate architectures based on performance, latency, cost, and compliance constraints. Design evaluation frameworks for machine learning and generative AI systems, including offline evaluation, human-in-the-loop validation, automated scoring, and production monitoring. Optimize AI systems for scalability, latency, and cost efficiency, including batching, caching, quantization, and model selection strategies. Design and apply advanced mathematical models and statistical methods to analyze large, multi-modal datasets, including time series, classification, regression, and representation learning tasks. Collaborate on AI architecture decisions and contribute to technical roadmap planning, identifying high-impact opportunities for AI adoption across the organization. Mentor and provide technical guidance to junior ML engineers and data scientists, promoting engineering best practices and a culture of continuous learning. Stay current with emerging research, tools, and architectures in AI and machine learning, proactively evaluating and introducing relevant advancements. What you need for this Required skills: 5+ years of hands-on experience in machine learning, AI research, or data science, with a proven track record of delivering production-grade ML solutions. Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related quantitative field. Strong expertise across core ML disciplines including supervised and unsupervised learning, time series modeling, classification, regression, and model evaluation. Deep hands-on experience developing production systems in Computer Vision, NLP, and Generative AI. Strong experience building LLM-based applications, including RAG pipelines, agentic workflows, semantic search, and tool-using AI systems. Experience designing evaluation frameworks for generative AI systems, including prompt evaluation, hallucination detection, and performance monitoring. Proficiency in Python and modern ML ecosystem including PyTorch, TensorFlow, Hugging Face, NumPy, Pandas, and scikit-learn. Experience with modern LLM orchestration and serving frameworks such as LangChain, LlamaIndex, DSPy, Haystack, or equivalent. Experience deploying and scaling AI systems on cloud platforms (AWS, Azure, or GCP), including managed ML services and containerized deployments. Experience building and maintaining end-to-end ML pipelines, including data processing, model training, deployment, and monitoring. Understanding of responsible AI principles, including bias mitigation, safety guardrails, and governance considerations. Proficiency with version control (Git) and software engineering best practices for collaborative ML development. Excellent communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders. Will be a plus: Experience with MLOps tooling and workflows, including MLflow, Apache Airflow, Terraform, and CI/CD pipelines for model deployment. Experience with model serving and inference optimization tools such as vLLM. Experience working with feature stores, real-time data pipelines, or streaming AI systems. Experience with distributed training or large-scale model training frameworks. Experience with multimodal AI systems (vision-language models, audio-text, document AI). Experience with fine-tuning large language models or parameter-efficient training techniques (LoRA, PEFT, etc.). Experience contributing to open-source ML projects or publications in peer-reviewed venues. An Associate, Professional or Specialty-level certification from one of our strategic technology partners — AWS, Microsoft, Google, Databricks or Anthropic — aligned with your tech stack. 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.

Задачи: — Подготавливать рабочие места для новых сотрудников, включая сборку и подключение ПК, установку Windows и необходимого программного обеспечения — Принимать и обрабатывать обращения пользователей через корпоративный мессенджер и внутреннюю систему заявок — Оказывать техническую поддержку сотрудникам в офисе и удалённо — Диагностировать и устранять программные и аппаратные неисправности компьютеров и ноутбуков — Выполнять базовый ремонт и замену комплектующих (SSD, RAM, блоки питания и др.) — Обслуживать офисную технику: принтеры, сканеры, МФУ — Выполнять диагностику и обслуживание IP-телефонии, систем видеонаблюдения (CCTV) и контроля доступа (СКУД) — Устанавливать и настраивать Windows, управлять учётными записями и правами пользователей — Диагностировать проблемы с локальной сетью и подключением к интернету — Проводить профилактическое обслуживание оборудования — Контролировать наличие расходных материалов и комплектующих, оформлять заявки на закупку — Вести учёт оборудования и фиксировать выполненные работы Требования: — Уверенное знание Windows, умение устанавливать и настраивать операционную систему и программное обеспечение — Знание устройства ПК и совместимости комплектующих — Навыки сборки компьютеров, диагностики аппаратных неисправностей и базового ремонта — Понимание основ компьютерных сетей: LAN, TCP/IP, IP-адресация, DHCP, DNS — Умение пользоваться инструментами сетевой диагностики (ping, tracert, ipconfig, nslookup) — Базовые навыки работы с BIOS/UEFI и инструментами диагностики оборудования — Понимание принципов работы IP-видеонаблюдения — Умение самостоятельно находить и устранять технические неисправности — Грамотная коммуникация с пользователями, стрессоустойчивость и ответственность — Наличие личного транспорта для ежедневной работы в офисе под Никосией Будет преимуществом: — Высшее техническое образование — Опыт работы в корпоративной IT-поддержке — Опыт администрирования Active Directory — Опыт удалённой поддержки пользователей через RDP — Опыт работы с виртуальными машинами (Hyper-V, VMware, VirtualBox) — Базовые знания Linux или macOS — Опыт восстановления данных, настройки резервного копирования и антивирусной защиты — Понимание основ информационной безопасности — Опыт ведения технической документации и базы знаний Условия: — Официальное трудоустройство на Кипре — Работа в офисе компании под Никосией — График работы 5/2, понедельник-пятница, с 8 до 16.30 — Годовой бонус по результатам работы — 21 рабочий день оплачиваемого отпуска + 4 дополнительных day off — Бесплатные завтраки и обеды в офисе — Компенсация 50% стоимости изучения английского или греческого языка в SkyEng — Оплата профессионального обучения и участия в профильных мероприятиях — Корпоративные мероприятия и программы для сотрудников — Возможности профессионального развития

Задачи: — Разработка и развитие ML-платформы на базе Kubeflow для ускорения экспериментов, обучения и вывода моделей в production. — Поддержка инфраструктуры обучения и инференса, пользовательских окружений и инструментов работы с признаками. Условия: — Возможность работы удалённо или в офисе. — Полная занятость.

Location: Intellias Meet your recruiter Khrystyna Derpak khrystyna.derpak@intellias.com https://www.linkedin.com... Vacancy details AI/ML Engineering Machine Learning Engineer Senior Bulgaria, Croatia, Poland Remote APPLY NOW REFER A FRIEND We are seeking a AI Engineer to transition our AI capabilities from “prototype” to “production.” In this role, you will not just experiment with models; you will architect robust Agentic Systems that can plan, reason, and execute complex workflows autonomously for a wide variety of business user needs while experimenting with cutting-edge models and tools to push the boundaries of what’s possible. The ideal candidate is a forward-thinking engineer who thrives on hands-on experimentation with AI models and frameworks, learns quickly, and is naturally curious. You will collaborate closely with product managers, business partners, and platform teams to deliver high-value AI agents that solve real-world problems across the enterprise. What project we have for you Client is a leading multi-brand technology solutions provider to business, government, education and healthcare customers in the United States, the United Kingdom and Canada. A Fortune 500 company and member of the S&P 500 Index, Client was founded in 1984 and employs approximately 10,000 coworkers. For the trailing twelve months ended September 30, 2020, the company generated Net sales over $18 billion. Broad array of offerings range from hardware and software to integrated IT solutions such as security, cloud, data center and networking What you will do Agentic Engineering & Orchestration Workflow Design: Architect complex, multi-agent workflows using Microsoft AI tech stack. Design, Develop and Deploy agents to handle loops, interruptions, and human-in-the-loop interventions. Tool Use & Function Calling: Build reliable “tool layers” that allow LLMs to safely interact with internal APIs, databases, and third-party SaaS platforms (e.g., SalesForce, Workday, ServiceNow etc.) State Management: Design persistence layers to manage agent memory, conversational history, and context windows efficiently. Advanced Data & RAG Strategy Retrieval Pipelines: Build production-grade data retrieval and integration systems. Optimize vector indexing, document chunking, and re-ranking algorithms to ensure high-precision context retrieval. Data Quality: Collaborate with Data Engineers to curate “Golden Datasets” for agent consumption LLMOps, Evaluation & Quality Automated Evaluation: Build CI/CD pipelines for AI that include “LLM-as-a-Judge” testing. Leverage frameworks to score agent outputs for accuracy, hallucination, and safety before deployment. Observability: Instrument applications with tracing tools to visualize agent reasoning chains, monitor latency, and debug failures in production. Cost Optimization: Monitor token usage and latency, optimizing prompt density and caching strategies to maintain high performance at sustainable costs. Innovation & Collaboration Prototyping to Production: Rapidly validate new ideas using state-of-the-art models, then refactor successful prototypes into maintainable, tested production code. Standards Adoption: Stay ahead of the curve by evaluating emerging technologies to standardize agent connectivity. What you need for this Core Engineering Bachelor’s degree and 5 years of software engineering experience, with exposure to AI/ML applications OR 9 years of software engineering experience, with exposure to AI/ML applications. Programming: Strong hands-on experience with Python for AI/LLM application development. Agentic AI: Hands-on experience designing and building AI agents / Agentic AI solutions. LLM APIs: Experience integrating and working with LLM model APIs (e.g., OpenAI, Azure OpenAI, Anthropic, Gemini). AI Specialization 2+ years specifically building with LLMs, with deep familiarity in: Orchestration: LangChain, LangGraph, or similar state-based frameworks. Vector DBs: Pinecone, Weaviate, or pgvector. Prompt Engineering: Advanced techniques (Chain-of-Thought, ReAct, Few-Shot). Production Mindset: Experience not just building demos, but operating them. You know how to handle rate limits, context window overflows, and non-deterministic errors. Soft Skills: Ability to explain “probabilistic software” to non-technical stakeholders—managing expectations that agents are never 100% accurate, but can be 100% useful. Communication: Excellent communication skills, with experience in documenting technical designs, sharing insights, and enabling team knowledge transfer. Nice to Have Microsoft Foundry 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.

Location: Poland; Brazil; Uruguay; Sweden; Greece; Latvia; Colombia; Argentina; Romania; Cyprus; Estonia; Hungary; Mexico; Chile; Bulgaria 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. The Growth Engineering team builds the experiences that connect people to our ecosystem for the first time and keeps them coming back. We design and ship the systems behind our marketing funnels, signup and KYC flows, and the key engagement features that help new users fund their accounts and explore our products. It’s a team with direct influence on company growth, global reach, and user engagement at scale. Our products serve millions of users globally. As an Engineering Manager, you’ll guide a cross-functional engineering team responsible for delivering measurable impact on growth metrics. You’ll work closely with Product and Design partners to plan, prioritize, and execute projects that accelerate user acquisition, activation, and retention. You’ll help engineers do their best work — setting clear direction, removing blockers, and maintaining strong alignment across stakeholders.   THE OPPORTUNITY - Lead, mentor, and support a cross-functional team of engineers delivering growth-critical systems and features. - Collaborate daily with Product and Design to define scope, set priorities, and ensure seamless execution. - Keep projects moving forward maintaining clear expectations, realistic estimates, and transparent communication with stakeholders. - Provide technical guidance and context to help engineers make sound architectural and implementation decisions. - Foster a culture of accountability, trust, and learning helping the team grow their impact and autonomy. - Improve team processes, communication, and collaboration across time zones. - Partner with other engineering leaders to ensure consistency and best practices across the broader Growth organization.   WHAT YOU BRING - Experience leading engineering teams and delivering high-quality results in a collaborative environment. - Strong people leadership skills you invest in coaching, clarity, and empowerment. - Solid technical foundation; you can engage in design discussions, code reviews, and help engineers make pragmatic decisions. - Familiarity with one or more modern programming languages React and React Native on the front end with a Rust-based backend or Experience in (TypeScript, Go, Nodejs or similar). - A product mindset — you care about how your team’s work impacts users and moves key metrics. - Clear communication and organizational skills, with the ability to align engineering efforts with business goals. - Experience working in distributed, remote-first teams.   NICE TO HAVES - Experience with analytics, experimentation, or growth tooling. - Exposure to scaling teams or processes during high-growth phases. - Background in product engineering, building user-facing features and owning delivery from idea to launch 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

Задачи: — Проектирование промпт-архитектуры; — Тестирование и настройка нейросетевых сценариев; — Оптимизация точности ответов AI-моделей; — Разработка и внедрение автономных ИИ-агентов; — Интеграция AI-решений в продукты и бизнес-процессы. Условия: — Работа из любой точки мира; — Гибкий график с ориентацией на результат; — Фиксированная оплата и бонусы за успешные запуски; — Обучение за счёт компании; — Доступ к ведущим AI-моделям и инструментам.

Location: Athens, Greece 🔎 Have you already built AI systems that other people use, and do you want to own them end to end, from the first measurement to production? Do you want to apply your machine learning experience to security-relevant AI? 💡 CENSUS Junior AI Engineer is your opportunity to join our AI team and own features in our production AI systems and products. You will build, evaluate, and ship LLM-powered features on security data, and help guide the interns on the team as you grow. Why Join? 🔹 Real Ownership: Own features in production AI systems end to end, from data and a first measurement through evaluation, deployment and iteration. 🔹 Elite Team: Work alongside world-class AI and cybersecurity experts. 🔹 Hands-on AI: High-impact work across LLM features, RAG and agent systems, evaluations, datasets, and fine-tuning . 🔹 Mentorship: A named AI-team mentor for your first months, and code review on every pull request. 🔹 Remote Work Model: Fully remote in Europe . 🔹 Growth: A clear path to AI Engineer as you take on larger, less defined work. What You’ll Do 🔹 Design, build and ship LLM-based features , together with the evaluations that prove they work. 🔹 Own work on retrieval (RAG), agent and tool-routing systems that answer questions over real security data. 🔹 Build datasets and fine-tune open models on security data, and measure the result against a baseline. 🔹 Scope your own tickets with your mentor and back every change with before-and-after results. 🔹 Review your teammates’ pull requests and help guide our interns. Who We’re Looking For 🚀 Required Skills: 🔹 At least 1 year of hands-on experience in AI, Machine Learning or Data Science engineering. Internships count, and so does industry or research-lab work. 🔹 A track record of shipping : at least one ML or LLM feature that went into production or into a codebase other people used. 🔹 Strong Python , with readable, tested code that others can review. 🔹 Experience in a team codebase: Git, pull requests , and both giving and receiving code review. 🔹 Practical experience building LLM applications (prompting, RAG or agents) and evaluating them, not only calling an API. 🔹 A solid grasp of machine learning fundamentals , and the ability to design an experiment and read its results honestly. 🔹 Working knowledge of SQL and Docker . 🔹 The ability to work independently on a well-scoped ticket and to say early when you are stuck. 🔹 Good written English (non-English resumes will be rejected) , and the habit of backing claims with evidence. ✨ Bonus Skills (Make Your Application Stand Out!): 🔥 Fine-tuning LLMs ( LoRA, SFT, DPO ) or building evaluation sets. 🔥 GPU training or model-serving experience (e.g. vLLM). 🔥 Vector databases , cloud or Kubernetes experience. 🔥 Published papers or research experience. 🔥 Interest in security or cryptography (we will teach you the domain). The Details 📌 Who Can Apply? 🔹 Open to graduates (Bachelor’s, Master’s or PhD) in Computer Science, AI, Machine Learning, Data Science or related fields, or candidates with equivalent practical experience, with at least 1 year of hands-on experience, internships included . 🔹 Europe-based candidates are prioritised. 📍 Location: Remote in Europe. 📄 Contract: Full-tiume 🎯 Career Path: Grow into an AI Engineer role as you take ownership of larger parts of our AI systems. About CENSUS CENSUS is a globally recognized cybersecurity firm delivering top-tier IT and OT security solutions. We work with Fortune 500 companies, financial institutions, critical infrastructure, and secure communications providers worldwide. Our expertise spans cutting-edge research, scientific analysis, and deep engineering experience, ensuring unmatched security for products, infrastructure, and organizations. 🔗 Learn more about us at CENSUS | Cybersecurity Engineering

Location: Intellias Meet your recruiter Bohdana Rubets bohdana.rubets@intellias.com https://www.linkedin.com... Vacancy details Data Engineering Data Engineer Senior Bulgaria, Croatia, Poland Remote APPLY NOW REFER A FRIEND Let’s breathe life into great tech ideas! With 3,000 people globally, Intellias is a company where benchmark technological solutions are born. Join in and take your part in digitalizing the world. What project we have for you Our client is building the standard path for governed data sharing across product services, analytics, and AI/ML. The Data Platform team owns the contracts, control mechanisms, publication paths, catalog metadata, lifecycle rules, lineage, permissions, and runtime building blocks that make reusable data safe and practical at scale. This is a role for someone who wants to shape a platform early, while working on concrete production problems from the start. Our client already has the production systems, Kafka backbone, PostgreSQL databases, analytical consumers, and AI/ML use cases that need a better data foundation. The challenge is to turn that reality into a standard path that engineers actually want to use. Our first milestone is focused: centrally managed publishing tables in service-owned PostgreSQL databases, captured through Debezium CDC into Kafka, and registered in DataHub with ownership, lifecycle, lineage, and impact-analysis metadata. Longer-term, the platform expands toward self-service data products, governed materialisations, durable shared state, and reusable data across the client’s operational and analytical systems. This is not a role where you only maintain an existing reporting pipeline. You will help design and build the platform path that other engineering teams use when they publish and consume shared data. What you will do Design and build platform services, tools, and workflows for contract-driven data publishing and consumption. Build the first production path for platform-managed PostgreSQL publishing tables, Debezium CDC, Kafka topics, and catalog registration. Create GitOps-style workflows where contracts, schemas, ownership, lifecycle, compatibility, policy metadata, and runtime desired state are reviewed, validated, and reconciled as code. Build tooling that gives product engineers fast feedback before they publish or change data products. Help define how client models data products, publishing contracts, schema evolution, field stability, deletion semantics, access policy, lineage, and cost attribution. Operate and improve the CDC runtime model, including Kubernetes workloads, source-specific isolation, offsets, schema history, heartbeats, signal channels, lag visibility, replay, resnapshotting, and recovery. Integrate platform metadata into DataHub so engineers can discover data products, understand ownership, trace lineage, and reason about the impact of changes. Work with product, infrastructure, data engineering, analytics, and AI/ML teams to make the standard path easier and safer than bespoke point-to-point integrations. What you need for this Strong experience building and operating production software systems, preferably in platform, infrastructure, backend, or data-intensive environments. Deep understanding of distributed systems trade-offs: reliability, idempotency, replay, eventual consistency, ownership boundaries, compatibility, and operational failure modes. Practical experience with PostgreSQL or other relational databases, including schema design, migrations, transactions, replication, or operational performance. Experience with Kafka, event streaming, CDC, Debezium, or adjacent data-movement technologies. Direct Debezium experience is valuable, but strong fundamentals matter more. Experience building software that other engineers use: CLIs, internal platforms, control planes, automation, CI validation, developer tooling, or self-service workflows. Familiarity with Kubernetes and cloud or infrastructure platforms, including runtime isolation, deployment, observability, and operational ownership. Ability to turn ambiguous architectural direction into practical increments, make trade-offs explicit, and deliver useful production systems without waiting for perfect certainty. Clear written and spoken communication in English. This role involves aligning multiple engineering teams around standards, contracts, and ownership boundaries. Nice to have: DataHub or other data catalog, lineage, or governance systems. Open table formats such as Apache Iceberg, object-store-backed data lakes, S3, BigQuery, ClickHouse, or analytical storage systems. GitHub Actions, policy-as-code, infrastructure-as-code, controllers, operators, or reconciliation-based systems. Data contracts, schema registries, Protobuf, Avro, JSON Schema, compatibility checking, field-level metadata, or contract testing. Experience supporting analytics, AI/ML, feature-store-style access patterns, or cross-domain product-service integrations. Experience with JVM languages and Python, TypeScript, Go, or Ruby. 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.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Lisbon, Portugal About the Department The Cloudflare Customer Support Team solves complicated problems and answers technical questions via phone, email, chat and social media. Whether it is a Wordpress blogger using our services for free or a global Enterprise business with petabytes of web traffic, we are always eager to assist. We are the eyes and ears of Cloudflare, acting as the real-time voice of the customer to help communicate their needs and real-world use cases back to the rest of the company - for better service and future product development. About the role Do you love solving complex technical issues and interacting with people? Are you passionate about providing premium-level support to customers and are a standout colleague? Cloudflare is seeking an experienced Technical Support Engineer for Zero Trust to join our team. You will work with our largest and most technically sophisticated customers on a variety of technical support issues to ensure they can deploy and operate Cloudflare's Zero Trust solutions with confidence. Responsibilities Serve as a trusted technical advisor, providing advanced support for enterprise customers using Cloudflare’s Zero Trust platform, including products like Access, Gateway, Cloudflare Tunnels, Cloudflare WAN and the Cloudflare One client (formerly known as Cloudflare WARP client). Troubleshoot and resolve complex technical issues related to identity, device security, and secure application access. Communicating and working directly with the customers via phone, video conference (ie Zoom, Google Meet), chat and tickets in Salesforce Work directly with customers to diagnose and remediate configuration and integration challenges with authentication protocols (e.g., SSO, SAML, OIDC) and network security settings. Create and maintain knowledge base articles, technical guides, and troubleshooting documentation for internal and customer use. Partner with Cloudflare’s Product, Engineering, and Security teams to escalate and resolve advanced customer issues. Provide feedback based on customer interactions to drive product improvements and ensure alignment with user needs. Assist customers in identifying and responding to security incidents, leveraging Cloudflare’s threat intelligence and security tools. Desirable Skills, Knowledge, and Experience Availability to work the weekend shift (Saturday & Sunday) You have a minimum of 3 years experience working as a Support Engineer / Sr. Support Engineer supporting networking or web security products. Exceptional troubleshooting and problem-solving skills, with the ability to simplify complex concepts for customers. Strong customer service orientation and communication skills, both written and verbal. Ability to work independently and collaboratively in a fast-paced, dynamic environment. You have experience supporting and troubleshooting multi-factor mechanisms (TOTP, SMS, FIDO, U2F, WebAuth, EMAIL, Push MFA, etc). Hands-on experience with identity and access management (IdP, IAM, SCIM) systems, such as Okta, Microsoft Entra, Ping, etc. Strong knowledge of authentication protocols (SAML, OIDC) Proficiency in networking fundamentals, including DNS, VPNs, firewalls, and traffic routing. Experience supporting cloud platforms (AWS, Azure, GCP) and SaaS application integrations. You have worked with PostgreSQL, MySQL, MS SQL or other database servers. Bachelor’s degree in Computer Science, Information Systems, Cybersecurity, or a related field (or equivalent experience). This may also include specialized bootcamps. Relevant certifications such as Cloudflare Certified Zero Trust Specialist, CISSP, or CCSP. Experience with building projects on Cloudflare or using Cloudflare Products. Compensation For Portugal based hires: Estimated annual salary is between €37,000 - €51,000. Equity This role is eligible to participate in Cloudflare's equity plan. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: London Workplace: remote ⚡️ About Merkle Science Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies. Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over US$27 MM from SIG, Beco, Republic, DCG, Kenetic, GGV and several others. The Role You will design, build and run the systems behind our data products, covering ingestion, processing, analytical storage and serving. You own your work from the design document through to production. The people who design a pipeline also run it and answer for its numbers. Our stack is very wide, and we go deep in every part of it. We don't stop at "it works." We keep measuring, profiling and tuning to make systems faster, cheaper and more reliable. We want engineers who are razor sharp, pay close attention to detail, and care as much about why a query takes 800 ms as whether it returns the right answer. You don't need blockchain experience. If you're a strong data engineer who wants to learn it, we'd like to hear from you. What You'll Do Design and build scalable, high-throughput data pipelines and platform systems for blockchain data across 30+ chains. Build backend data services and loaders in Go and Python. Design and evolve data models and analytical workloads in ClickHouse, and tune them for sub-second queries. Build incremental, idempotent pipelines on Databricks over billions of rows and tens of terabytes. Keep improving the scale, reliability, freshness, performance and cost efficiency of the platform. Investigate hard performance and reliability problems and see them through to resolution. Work closely with the product, analytics and investigations teams that use the data, and turn their needs into platform designs. Help set technical direction through architecture discussions, design reviews and code reviews. Mentor engineers and help set strong engineering and operational practices. What You Bring 5+ years building and operating production data systems, including ETL and ELT pipelines. At least two of those years should be spent owning systems that other engineers depend on. Expert Python and strong SQL. You write typed, tested code, are comfortable with asyncio and concurrency, and have built incremental data models over billions of rows. Go for backend services. You have built and run high-throughput services or data loaders in Go in production. ClickHouse in production. You know MergeTree schema and sort-key design, materialised views, bulk loads and query tuning. Databricks in production. You have worked with PySpark, Delta Lake and Unity Catalog, designed incremental and idempotent tables, and kept an eye on compute cost. Large-scale data. You have hands-on experience with pipelines over billions of rows and tens of terabytes. You understand how partitioning, clustering and file sizing affect cost and latency. Kafka, Airflow and Kubernetes in production. You understand delivery semantics and idempotent writes, have handled backfills and failures, and have run data workloads with Docker and Helm. Google Cloud is preferred; AWS is fine. An operations and communication mindset. You instrument what you build, write runbooks and post-incident reviews, and can write a design document that a reviewer in another time zone can approve.   Nice to Have Blockchain data: EVM, UTXO or non-EVM chain data models, and pulling data from nodes over JSON-RPC or gRPC. Graph or distributed key-value stores: entity resolution or clustering on large graphs. Infrastructure as code, GitOps and observability: Terraform, Helm, ArgoCD, OpenTelemetry, Prometheus and Grafana, and load-test design. Experience building platforms that serve multiple data sources, datasets or product teams. AI-assisted development, and experience in fintech, compliance or AML. How We Work You'll join a small, senior team where everyone owns their work end to end. We make decisions based on measured evidence, not opinion. We keep design notes and runbooks next to the code. We test at production scale and run blameless post-incident reviews. We use AI coding tools every day, and we use judgement when reviewing what they produce. ❤️ Well Being, Compensation and Benefits We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance.  We regularly host team-building sessions and encourage discussions around mental health.   We reward talent and believe in acknowledging people for their contributions.  We offer industry-leading compensation, along with generous equity.  As a rapidly growing business, there are endless opportunities to grow your career with Merkle Science.