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Location: Brussels; Rome; Zug; Porto; Istanbul; Eindhoven; Geneva; Milan; Amsterdam; Manama; Madrid; London; Berlin; Antwerp; Copenhagen; Vienna; Prague; Athens; Budapest; Paris; Frankfurt; Dublin; Warsaw; Sofia; Luxembourg; Remote; Zurich; Lisbon; Tallinn; London OR Brussels; Rotterdam; Krakow; Zagreb Workplace: Remote RUST ENGINEER - TRADING SYSTEMS ABOUT KEYROCK Since our beginnings in 2017, we've grown to be a leading change-maker in the digital asset space, renowned for our partnerships and innovation. Today, we rock with over 200 team members around the world. Our diverse team hails from 42 nationalities, with backgrounds ranging from DeFi natives to PhDs. Predominantly remote, we have hubs in London, Brussels, Singapore and Paris, and host regular online and offline hangouts to keep the crew tight. We are trading on more than 80 exchanges, and working with a wide array of asset issuers. As a well-established market maker, our distinctive expertise led us to expand rapidly. Today, our services span market making, options trading, high-frequency trading, OTC, and DeFi trading desks. But we’re more than a service provider. We’re an initiator. We're pioneers in adopting the Rust Development language for our algorithmic trading, and champions of its use in the industry. We support the growth of Web3 startups through our Accelerator Program. We upgrade ecosystems by injecting liquidity into promising DeFi, RWA, and NFT protocols. And we push the industry's progress with our research and governance initiatives. At Keyrock, we're not just envisioning the future of digital assets. We're actively building it. MISSION STATEMENT We are seeking a Senior Rust Engineer with deep trading systems experience and strong AWS knowledge to join our core Capital Markets division. Candidates with a passion for the Rust ecosystem and a proven track record designing, building, and operating mission-critical trading systems will be at a significant advantage. As part of the engineering team in Capital Markets, you will take ownership of high-impact trading infrastructure, set technical direction in your domain, and drive continuous improvement in system performance, reliability, and operability. You will join a highly-profitable, fast-paced division within Keyrock, where you will be expected to make a senior individual-contributor impact while collaborating with a global, fully-remote team. This role is open to candidates located in European time zones. JOB DESCRIPTION - Design, develop, and optimise low-latency, mission-critical trading systems - Own key trading stack components end-to-end — from architecture through to production operation - Collaborate closely with quants, traders, and engineers to deliver solutions that improve trading performance and resilience - Maintain and evolve trading infrastructure with a focus on performance, stability, observability, and operational excellence - Troubleshoot complex production issues across exchange connectivity, execution, and market data handling - Drive engineering standards through technical leadership, code reviews, and mentoring - Embrace agentic engineering principles: leverage AI-assisted workflows, drive automation of operational tasks, and help evolve the team's agentic tooling - Contribute to functional, component, and production-readiness testing for critical trading components BACKGROUND AND EXPERIENCE TECHNICAL SKILLS - Production-grade Rust experience building high-performance, concurrent systems; proficiency with Tokio is a strong advantage - Hands-on experience in a systematic trading environment (HFT, Market Making, Quantitative Trading, or similar), with solid understanding of execution, market data, and operational risk - Strong AWS and Linux expertise, including cloud infrastructure trade-offs for latency-sensitive workloads, shell scripting, debugging, and production troubleshooting - Proficiency in Python or other scripting languages for strategy development, automation, and operational tooling - Deep familiarity with trading system protocols (FIX, REST, WebSocket), exchange connectivity, and market data feeds - Solid grasp of low-latency networking: TCP/UDP, packet and latency path analysis, dedicated network infrastructure, and kernel bypass techniques (DPDK) - Familiarity with agentic engineering tools and concepts: LLMs, MCP APIs, AI-First IDEs (e.g. Cursor, Claude Code), harness engineering, and workflow automation - Ability to make sound architectural decisions, articulate trade-offs clearly, and guide implementation across complex systems SENIORITY & COMPETENCIES - Ownership & Reliability – Take full responsibility for your work. Deliver high-quality service, meet deadlines, and follow through on commitments. Anticipate and proactively address potential issues before they arise. - Initiative & Problem-Solving – Approach challenges with a problem-solving entrepreneurial mindset. Make sound, independent judgments and take the initiative to drive solutions rather than waiting for instructions. - Operational Diligence – Respond strategically to technical and operational challenges, ensuring robust and reliable trading infrastructure while instilling confidence in the team’s processes. - Technical Leadership – Influence system design, raise engineering standards, mentor other engineers, and help the team make pragmatic, high-quality technical decisions. - Curiosity & Growth Mindset – Continuously seek to improve your technical skills and knowledge. Stay ahead of industry trends and take the initiative to practice and explore new technologies that excite you. - Agentic Engineering – Embrace AI-assisted workflows and autonomous agents, pushing the boundaries of what engineering teams can achieve through intelligent automation. - Excellent Communication Skills with a team player mindset, collaborating within a fully remote global team. OUR RECRUITMENT PHILOSOPHY We value self-awareness and powerful communication skills in our recruitment process. We seek fiercely passionate people who understand themselves and their career goals. We're after those with the right skills and a conscious choice to join our field. The perfect fit? A senior engineer and crypto enthusiast who’s driven, collaborative, acts with ownership, raises the bar for others, and delivers solid, scalable outcomes. OUR OFFER - A competitive salary package - Autonomy in your time management thanks to flexible working hours and the opportunity to work remotely - The freedom to create your own entrepreneurial experience by being part of a team of people in search of excellence As an employer we are committed to building a positive and collaborative work environment. We welcome employees of all backgrounds, and hire, reward and promote entirely based on merit and performance. Due to the nature of our business and external requirements, we perform background checks on all potential employees, passing which is a prerequisite to join Keyrock. https://keyrock.com/careers/

Location: Munich; Frankfurt Workplace: remote Azul seeks an experienced and enthusiastic Channel Account Manager to build the channel across Germany.  This is an exciting role that demands initiative and enthusiasm. You will help close small and large (multi-million dollar) complex deals with Fortune 500 companies.   This role must research potential partners, connect with and educate prospects on our product offerings and qualify the leads. The primary focus will be to turn leads into qualified opportunities by partnering with marketing and sales to create and execute on program. What You’ll Do (aka Responsibilities) Identify and qualify prospective partners to resell Azul products to their customer base and via a partner program Educate prospective partners on the partner program, requirements and deliverables Develop opportunities for prospecting and marketing generated leads Promptly and efficiently respond to, engage with and qualify inbound leads and inquiries from partners Collaborate with sales and marketing team members on strategic sales approaches as it relates to partner productivity Develop and execute a strong and effective prospecting plan of attack for new partners in Germany Ensure successful follow through of sales cycle by maintaining accurate activity and lead qualification information in SFDC Provide in depth information to both the Account Executives and the VP Sales in the region regarding recruitment efforts Conduct new partner and ongoing enablement and training using the partner portal Maintain accurate and thorough records for partner calls, emails, notes, tasks, demos and other relevant information in compliance with organization policy Travel required across the region from time to time What You’ll Bring (aka Experience, Skills Education) Minimum 10+ years' experience in Channel sales working with global top tier partners such as SoftwareOne, Insight, SHI, Logicalis, etc. throughout Germany. Minimum 5+ years' knowledge or experience working with development platforms or development tools. Bachelor’s Degree and MBA is a plus Any prior direct sales experience will be an advantage as well Experience in SFDC and Clari preferred Strong verbal and written communications Excellent time management and organization skills Strong negotiating skills What we Offer ·         Comprehensive compensation and healthcare packages ·         Referral Program ·         Work-life balance, remote-first, paid time off, company shutdown, holidays ·         Work with top experts worldwide whom contribute to the Java ecosystem   Our Culture & Values   ·         Maniacal Customer Focus ·         Innovation & Excellence ·         Initiative & Courage ·         Impact & Influence ·         Integrity & Transparency ·         Diversity, Inclusion & Teamwork   Employment at Azul is contingent upon the completion of reference and background checks.

Location: Boston, MA Workplace: OnSite WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance. WHOOP empowers its members to improve their health and perform at a higher level by providing a deep understanding of their bodies and daily lives. Our Machine Learning Core Algorithms team is responsible for developing novel algorithms and features that expand our health and fitness capabilities with wearable sensor data. We combine continuous physiological data with clinical research and expert knowledge to generate features that are both scientifically grounded and deeply impactful for members. This role is located on our Core Algorithms team: performance-related insights for sleep, recovery, and exercise. As a Senior Machine Learning Engineer on our Core Algorithms team, you will design, build, and productionize ML systems that deliver meaningful, personalized metrics to millions of members. You will own the ML systems you build in collaboration with applied machine learning scientists. You will work at the intersection of data science, backend engineering, and cloud infrastructure – deploying robust, scalable, and reliable ML solutions built on physiological and behavioral data streams. This role emphasizes strong coding skills, system design, and the ability to deliver production-ready ML systems. Responsibilities: - Create, improve, and maintain production services that provide analysis for core features in collaboration with applied ML scientists and MLOps engineers. - Improve ML data pipelines, tooling, and validation systems that support robust model performance. - Work alongside applied ML scientists to translate research prototypes into production ML systems optimized for scale, latency and cost efficiency. - Collaborate with researchers and Product teams to align model development with physiological insights and member impact. - Build operational maturity within the Core Algorithms team as well as the broader Machine Learning team, developing processes for observability, alerting, and incident response (including on-call rotations). - Develop applied ML operational infrastructure (frameworks, evaluation criteria, performance validation). - Mentor other engineers and applied ML scientists on production practices, raising the bar through code and system design review. Qualifications: - Bachelor’s Degree in Computer Science, Data Science, Applied Mathematics, or a related field (Master’s preferred). - 4+ years of professional experience as an ML engineer, applied researcher, or software engineer with a focus on ML systems. - Experience working with time series data (wearable, physiological, or high-frequency sensor data). - Strong coding skills in Python with a track record of writing clean, production-quality code. - Experience designing, deploying and operating ML production systems at production scale (millions of users, real-time streaming and/or large-scale batch). - Experience deploying and maintaining ML backend services (APIs, reliability, observability, monitoring; AWS or GCP). - Preferred: 2+ years experience applying advanced mathematical and statistical techniques. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.    Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $150,000-$210,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.    In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.   Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.

Location: Belarus; Armenia; Croatia; Georgia; Kazakhstan; Moldova; Poland; Portugal; Serbia; Spain Workplace: remote About the Team   We are Quadcode, a fintech company excelling in financial brokerage activities and delivering advanced financial products to our global clientele. Our flagship product, an internal trading platform, is offered as a Software-as-a-Service (SaaS) solution to other brokers. We are seeking an experienced Product Designer to join and strengthen our team. You will work closely with fellow Designers, a Design Technologist, Product Owner, Researcher, and the Development team. We believe that complex challenges can only be solved together. That’s why our culture encourages open discussion of problems and constructive debate over solutions. You will be surrounded by supportive colleagues ready to help and share their expertise. Tasks: Own the design and User Experience (UX) for one of the key product areas; Design and improve user scenarios and features across multiple platforms (Web, iOS, Android); Conduct Product Discovery: collaborate with the team to research user journeys, identify friction points, and formulate/validate hypotheses; Build high-quality prototypes, paying attention to micro-interactions and transition animations; Facilitate discussions with developers and stakeholders, finding the balance between ideal UX and technical constraints; Ensure implementation quality (Design QA/Review) and guide solutions through to release; Contribute to the Design System: ensure consistency and accelerate team velocity through high-quality components. Requirements: 5+ years of experience in product design (a portfolio featuring launched case studies is required); Advanced proficiency in Figma; Proven experience in creating or scaling design systems; Product Mindset: You make decisions based on data, research, and common sense, not personal preference. You understand how design impacts business metrics; Understanding of accessibility principles and the ability to integrate them into the design process; Strong communication skills with the ability to articulate and defend design decisions, as well as give and receive constructive feedback; You can self-manage, prioritize your backlog, and drive processes without micromanagement; Comfortable with shifting priorities based on business needs. What we offer: Remote work model; Competitive remuneration; Friendly, enjoyable and positive environment. With a team of 500+ creative and tech-driven people across the globe, Quadcode is the place where ideas turn into impact, where every project is a chance to grow, innovate, and make your mark.   Join us today, and let's shape the future of fintech together!   Note: All applications will be treated with strict confidence. We thank all applicants for their interest, however, only those candidates selected for interviews will be contacted.   #LI-LR1

Location: Edinburgh, Scotland About the Role iCapital is seeking a Client Delivery Advocate Analyst to join the Data Solutions team. This individual must be comfortable working in a dynamic, performance-driven, fast-paced environment, and is committed to delivering a high-quality, accurate product on a time-sensitive basis. Daily activities will be diverse, from setting up and maintaining software applications, to assisting clients with issues, special projects, sales calls, and helping with all the non-related tasks associated with building an innovative company. The role is a mix of finance and technology. Responsibilities Financial Reporting and Data Aggregation tools. Analyze and explain portfolio performance results. Conduct account level reconciliation, including research and resolution of all breaks, cancels, and corrects. Analyze private equity and hedge fund statements for input into system. Consolidate data from multiple sources and custodians. Provide accurate and timely statements and data entry. Generate reports as needed. Work with clients and partners to resolve data issues. Develop and strengthen client relationships via client on-boarding, client account setup, training, day-to-day support and issue management. Maintain software maintenance, system setup and configuration which includes new client setup, new financial account and asset set-up and classification. This assists in data feed management, creating custom reports based on client-specific needs, liaise with the vendor partners for enhancements, and system data issues. Work with the team to prioritize individual and communal work to ensure all projects are completed on time and to detailed specifications. Establish operational effectiveness through the development, adoption of policies, procedures, and controls. Qualifications Bachelor's degree with a concentration in finance, computer science, statistics, mathematics, data science, or a similar field Excellent customer relations skills Foster and maintain effective relationships Proactively assess and act upon client and company needs Well-organized and self-motivated with the ability to prioritize tasks and meet deadlines Highly attentive to detail and accuracy while maintaining an organized approach to duties and responsibilities Comfortable with technology, software tools and applications and able to learn new software quickly; Strong MS Excel and PowerPoint skills, basic knowledge of database concepts, and any type of programming and a working knowledge of Photoshop, HTML design, or similar tools Knowledge of liquid investments such as Equities, Bonds, ETFs, Mutual Funds, SMA/UMA, alternative investments, performance reporting calculations and methodologies, portfolio management and rebalancing, as well as how RIA investment advisors ’work Critical thinker that possesses strong-problem-solving skills and can summarize information clearly and concisely, both written and verbally Devotion to collaboration and ability to thrive in a team environment while working independently We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office 4 days a week with the flexibility to work remotely 1 day - Friday. For additional information on iCapital, please visit https://www.icapital.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: Remote - Europe 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. Offensive security The internal offensive security team is responsible for the penetration testing program, red team engagements, and offensive research aimed at uncovering sophisticated attack scenarios targeting high-value assets across the Nebius Cloud stack. The Role We're hiring an Offensive Security Lead to build and run Nebius' red team capability. You'll design and execute adversarial simulation across our cloud platform - attacking the same infrastructure our customers depend on - and translate findings into measurable security improvements. This is a hands-on leadership role within Product Security Team. You will build an internal red team, establish a penetration testing program, and conduct research to uncover sophisticated attack scenarios targeting high-value assets across the Nebius tech stack. What you’ll do Build and lead a red team function within Product Security Team, hiring and developing offensive security engineers. Validate and extend early-stage Secure SDLC threat models via continuous penetration testing , assessing threat severity and mitigation status while challenging assumptions made during threat modeling and system development. Automate routine validations to keep pace with increasing feature flow, reserving manual analysis for genuinely complex cases. Plan and execute full-scoped red team engagements against Nebius cloud platform - including compute, storage, inference, networking, orchestration layers, and internal tooling. Identify threats, which are able to impact an organization's operations. Work closely with Detection & Response and other security engineering teams to run purple team exercises, validate detection coverage, and close gaps collaboratively. Research novel attacks against GPU infrastructure (e.g., closed-source firmware and vendor driver binaries, device passthrough exploits, SR-IOV/IOMMU misconfigurations, RDMA/InfiniBand fabric attacks, etc.), the inference stack (e.g., vLLM, TRT-LLM), and AI platform managed services (e.g., managed Slurm). Assess tenant-isolation boundaries and how they can be broken at the low-level stack Conduct targeted assessments of new products and infrastructure changes before they ship. Deliver clear, actionable reports for both technical audiences and leadership - with prioritized findings and remediation guidance. Establish red team processes, tooling, and a methodology that scales as the platform grows. What we’re looking for 6+ years in offensive security - penetration testing, red teaming, or adversary simulation - with at least 1-2 years leading or mentoring a team. Deep experience attacking cloud-native environments: Kubernetes privilege escalation, cloud IAM abuse, virtualization and container escapes. Strong fundamentals across the attack lifecycle: initial access, persistence, lateral movement, data exfiltration. Proficiency developing custom tooling and post-exploitation capabilities (Python, Go, or similar). Experience running purple team exercises and working constructively with blue teams. Ability to write clear, senior-level reports with business-contextualized risk (not just raw findings) that engineers can easily use. Nice to have Experience attacking ML infrastructure, model serving pipelines, or GPU clusters. Reverse engineering and exploits development experience Application security experience Familiarity with eBPF bypass techniques or kernel-level exploitation. Background in vulnerability research or CVE discovery. Experience with cloud provider internals (hypervisor/networking layers). Presenting your security research at conferences like BlackHat/DefCon, etc. Hiring Process Recruiter's chat (30mins) Live-coding interview (60mins) to asses basic coding skills Security interview (60mins) to asses domain expertise Security System Design interview (90mins) to assess practical experience (Optional) Technical deep dive (90mins) to present a complex and impact project. Final interview to close the hiring process (45mins) Why this role at Nebius Build a red team from scratch at a company operating frontier AI infrastructure. Attack surface that's genuinely novel - GPU clusters, AI platforms, multi-tenant cloud at scale. Work alongside world-class engineers on infrastructure that powers frontier AI. Competitive compensation with equity upside in a Nasdaq-listed, high-growth company. Flexible, remote-first culture #LI-CP1 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.

Location: Singapore 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. The role The Site Selection & Colocation Manager is responsible for identifying, evaluating, and securing optimal locations for new data center developments and colocation expansions. This role combines real estate strategy, technical due diligence, market analysis, and vendor management to support the company’s global data center growth. The manager will collaborate closely with engineering, construction, finance, legal, and network planning teams to ensure that selected sites meet operational, technical, and business requirements. Your responsibilities will include: Site Selection & Market Analysis Lead the end-to-end site selection process for new data center facilities. Conduct market assessments, including power availability, fiber connectivity, land suitability, regulatory requirements, and risk factors. Build and maintain market intelligence on emerging data center regions, supply trends, energy markets, and colocation pricing. Evaluate and shortlist candidate sites through comparative analysis, scoring models, and feasibility studies. Technical & Environmental Due Diligence Coordinate environmental, geotechnical, hydrological, and seismic assessments. Assess infrastructure availability (power, water, fiber) and future scalability. Evaluate construction constraints, climate conditions, logistics access, and permitting feasibility. Work with engineering teams to ensure sites meet mechanical, electrical, and network resilience requirements. Colocation Strategy & Vendor Management Identify colocation providers and evaluate facilities based on technical specifications, SLA requirements, and cost structure. Lead RFPs, negotiations, and contract execution with colocation and connectivity partners. Manage colocation lifecycle: renewals, expansions, migrations, and optimization of space/power allocations. Monitor vendor performance against SLA, uptime, compliance, and efficiency metrics. Cross-Functional Collaboration Work with data center design and construction teams to validate site feasibility and development timelines. Partner with legal on contract terms, property acquisition, lease terms, and regulatory compliance. Support finance with CapEx/OpEx modeling, ROI calculations, and business case development. Coordinate with public authorities, utilities, and permitting agencies as needed. Risk Assessment & Compliance Evaluate risks related to natural hazards, geopolitical risk, security, environmental constraints, and utility reliability. Ensure compliance with local regulations, zoning laws, and corporate standards. Maintain documentation for audits, reporting, and internal approvals. We expect you to have: Bachelor’s degree in Real Estate, Engineering, Business, Geography, or related field. 5–8+ years of experience in site selection, real estate development, colocation management, or data center infrastructure. Strong understanding of data center power, cooling, and network requirements. Experience in evaluating colocation providers and negotiating leases/SLAs. Analytical skills in market research, cost modeling, and risk assessment. Ability to manage multiple simultaneous projects across regions. Excellent communication, negotiation, and stakeholder management skills. It will be an added bonus if you have: Experience with hyper-scale or large-scale data center development. Knowledge of utility procurement (power, water), renewable energy markets, and substation planning. Familiarity with geospatial tools (GIS), risk modeling, or data center capacity planning. Understanding of permitting processes and environmental regulations. #LI-PD1 #LI-PD1 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.

Location: Pasig City, Philippines Job Description: Help guide report strategy, help determine important safety concerns and review medical and medical safety content that will be included or discussed in the report, including but not limited to safety signals, health authority requests, safety-related literature, adverse event case reviews, benefit-risk assessments, and overall medical assessments and conclusions. Work in collaboration with contributing team members, particularly with the reports assigned to the Global Risk Assessment and Safety Physician. Review all stages of the report that are assigned during the report authoring process, record their recommended revisions, and indicate completion of their reviews in the corresponding systems. Key Responsibilities: Provide medical and scientific judgment in the evaluation of data pertaining to the efficacy and safety of Client products including, but not limited to, PBRER-PSURs and benefit-risk evaluations Review and contribute to strategy discussions, including determination of the important safety concerns and review of draft/final data, HA feedback topics, signals, and benefit-risk evaluation. Coordinate with Global Risk Assessment and Safety Physicians regarding PBRER steps and hand-offs and collaborate with other members of the report authoring team. Review the drafts and final reports as assigned and provide feedback, which may include pre-initial, drafts, drafts, final drafts, and final reports as assigned. Qualifications: Requirement: Licensed Medical Physician Experience in Drug Safety and Pharmacovigilance (PV) Concepts, regulatory requirements, research principles, and safety data analysis. 1-3 years of experience in pharmaceutical regulations and R&D processes. Technical Skills: the ability to analyze, interpret, and present complex data in a concise and understandable scientific manner, both orally and in written format, is essential. Attention to detail: diligence in record-keeping and records organization, ability to manage high workload and critical issues, computer literate and proficiency in MS Office applications. Internal and external networking skills: strong collaborative and interpersonal skills, results-oriented and ability to independently create and deliver, ability to thrive in a global, cross-functional environment. Data entry experience desired. Accountability for delivery of results. Decision making and problem-solving skills. Proactive approach/uses own initiative. Manages own work, able to prioritize, plan and organize work assignments and work under strict timelines Ability to follow guidelines, working practices etc. Experience of working with SOP/WI preferred

Location: Remote-Friendly, United States About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Anthropic Anthropic's mission is the responsible development and maintenance of advanced AI for the long-term benefit of humanity. We are a safety-focused AI company working to build reliable, interpretable, and steerable AI systems. As our compute infrastructure scales to support frontier model training and deployment, we are building a world-class team to design, deliver, and operate the physical facilities that make that possible. About the Role We are looking for a Principal Data Center Architect with deep expertise in Civil, Structural, and Architectural (CSA) design to join our growing infrastructure team. This role is the technical owner for the physical building fabric of Anthropic's AI compute facilities — from the earliest site feasibility studies and test fits through reference design development, design partner oversight, and construction delivery. As Anthropic scales its data center program across multiple sites in the United States and internationally, you will set the civil, structural, and architectural standards that govern how our facilities are designed and built. You will work directly with design-build partners, AE firms, and internal mechanical, electrical, and IT infrastructure teams to ensure our facilities are optimized for high-density AI workloads, constructable on aggressive timelines, and replicable across a growing portfolio. This is an owner's engineer role — you are the technical authority, not a consultant. You will be expected to make binding design decisions, identify problems before they reach the field, and drive standardization across a pipeline of concurrent projects globally. What You'll Do Own the civil, structural, and architectural reference design standards for Anthropic's data center portfolio, establishing repeatable design elements deployable across multiple sites and jurisdictions Lead front-end test fits and site feasibility studies, evaluating structural approaches, site constraints, utility interfaces, and code compliance to inform site selection and design direction Review and approve CSA deliverables from design-build partners and AE firms at each design stage (SD, DD, CD, IFC), including drawings, structural calculations, specifications, and geotechnical reports Integrate CSA design with mechanical, electrical, plumbing, fire protection, and IT infrastructure teams to produce coordinated designs that support high-density AI compute and direct liquid-cooling systems Drive site and campus planning to maximize compute density, optimize construction phasing, and align physical layout with IT and operational requirements Partner with the construction and delivery team to provide technical oversight during construction, resolve field issues, and support commissioning activities Evaluate and develop relationships with design partners, structural engineering subconsultants, and prefabrication / modular vendors; define qualification and performance standards Establish and maintain facility support area standards — logistics staging, loading, maintenance access, and operational support spaces — scaled for hyperscale deployments Identify modular and prefabricated construction opportunities that reduce schedule, cost, and design risk across the project pipeline Manage review cycles and coordinate across internal and external stakeholders to resolve design conflicts and keep projects moving on aggressive timelines Travel to project sites globally for design reviews, construction audits, and commissioning milestones (up to 40%) What We're Looking For Required 10+ years delivering mission-critical facility infrastructure, with at least 6 years directly in hyperscale or large-scale data center CSA design Deep technical expertise across civil site development, structural design, and architectural programming for industrial or mission-critical facilities Demonstrated experience as an owner's engineer or lead technical authority — setting standards, approving deliverables, and managing external design teams Proficiency with applicable building codes and standards including IBC, IFC, ASCE 7, ACI 318, AISC, FM Global, and local jurisdictional requirements across multiple geographies Experience with high-density compute environments, including structural and architectural accommodation of direct liquid-cooling systems, overhead busway, and dense rack deployments Track record of driving design standardization and developing repeatable reference designs across a multi-site portfolio Ability to evaluate and red-line structural calculations, civil site plans, and architectural construction documents for accuracy, completeness, and constructability Experience coordinating across MEP disciplines and IT infrastructure teams in a fast-paced, multi-project environment Clear and direct communication with both technical and non-technical audiences; ability to make and defend design decisions with incomplete information Preferred Licensed Professional Engineer (PE) in civil or structural engineering, or licensed architect (AIA / RA) Experience with prefabricated and modular construction strategies for data center applications Familiarity with geotechnical risk assessment and foundation design for large industrial facilities LEED accreditation, Uptime Institute AOS/M&O certification, or equivalent mission-critical credentials International project delivery experience (Europe, Asia-Pacific, or other regions) Experience reviewing design packages in Autodesk Construction Cloud, Revit, or Navisworks The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Technical Recruiter at Anthropic, you will be instrumental in shaping the future of our organization by identifying, engaging, and hiring the best and brightest minds across a range of disciplines. As we continue to push the boundaries of AI research and development, we need a passionate recruiter who can help us build a world-class team dedicated to creating safe and beneficial AI systems. Key Responsibilities Develop and execute strategic recruiting plans to identify and source highly qualified candidates Partner with technical and non-technical hiring managers and interviewers to understand hiring needs, team matching, required skills and qualifications Implement recruiting processes and programs such as developing targeted outreach campaigns, building connections with industry leaders, and removing any unfair biases from the hiring process Collaborate with leadership and cross-functional partners to understand organizational needs and map out long-term talent acquisition strategies that balance priorities across all technical teams Enhance Anthropic’s employer brand to showcase our mission, culture, and values to candidates Provide an exceptional candidate experience throughout the recruiting process Minimum qualifications Deep full lifecycle recruiting experience, with substantial time supporting technical engineering organizations Proficiency with an applicant tracking system like Greenhouse and other modern sourcing tools Experience partnering directly with hiring managers on intake, bar calibration, and interview loop design Sound independent judgment on candidate quality, and the ability to independently partner with multiple hiring managers are complex searches Genuine interest in Anthropic's mission and in the role a strong security function plays in achieving it Preferred qualifications Experience recruiting at a high-growth technology, AI, or machine learning company Working knowledge of the security credential landscape and clear judgment about where those credentials carry signal and where they do not Experience hiring for engineering, incident response, threat intelligence, insider risk, or physical security Experience improving recruiting processes, market maps, or interview architecture where they were thin or absent Comfort using LLMs to accelerate sourcing, research, and market mapping The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $240,000 — $295,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic manages one of the industry's largest AI fleets — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around Capacity. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need. Planning Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other. Efficiency Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number. Attribution and forecasting Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO. Key responsibilities Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs. Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Directly influence decisions around a significant area of company investment. Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline. Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration. Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable. Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company. What you bring A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor. Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable. Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on. Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction. Preferred qualifications Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here. Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads. Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements. Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers. Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level. Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed. Storage efficiency, retention, and lifecycle program experience at very large scale. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States, Los Angeles, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Join the award-winning studio that created God of War Sony Santa Monica Studio is looking for QA Sr Analysts to assist in the development testing of our internal projects on the PS5 platform. The QA Sr Analyst is responsible for the execution of high-level/critical test coverage management in support of their assigned projects. The general purpose of this job is to provide a dedicated resource to provide testing expertise for their assigned area of focus and operating as the most experienced, cognitive focused and productive testers on the project. Attention to detail is a critical requirement of the role, as is a highly communicative, amicable, team focused and mature demeanor. We value talent, self-motivation, and team spirit. In turn, we provide an environment with a large degree of freedom, autonomy and growth opportunities. Responsibilities Perform developer support tasks to assist with entry to mid-level development work for your assigned department or area Perform preventive testing support on developer workflows, tools and testbeds to support embedded testing efforts Perform high-level/critical scripted and exploratory test coverage using different testing techniques on assigned projects Perform issue reporting, research, analysis, confirmation and support resolution on assigned projects Perform specialized testing and support requests for your assigned area of focus and/or department Maintain a strong knowledge of the project design and scheduling changes to support QA test effectiveness, focus and reporting Assist in the management of project databases for assigned titles Assist in the planning, tasking, and execution of all operational testing for assigned projects Assist in the execution of project operational reporting and day to day communication Assist in updating test plans and incorporate them into the software testing process Assist in QA administrative and support requests Assist in collaborating work across disciplines within the internal/external development team to help drive project to completion Assist in diagnosing errors and breakdowns in development pipeline and perform technical support as needed Actively develop and improve skill set and abilities by keeping aware of QA industry trends and techniques Minimum Requirements 2+ years in Test or Analyst or equivalent position and successfully shipped at least 2 global, large-scale titles on current generation PlayStation platform(s)Experience with Maya software and toolsets Excellent technical learning agility Excellent understanding of SDLC Excellent gameplay skills Excellent critical analysis skills Excellent communication, organizational, time management, and interpersonal skills Experience with current generation PlayStation platforms and peripherals Experience in quality assurance/control testing Experience in foundation level testing techniques Experience with JIRA database and add-on systems Proficiency in test case design and traditional QA/QC methods Passion for video games Preferred Experience BS Cognitive Science, Computer Science, Communications, BA in Project Management, Business Intelligence, or QA related field Successful completion, certification and application of ISQTB® Foundation Level CTAL or equivalent #LI-SMS #LI-MC1 Avoid Recruitment Scams/Phishing Attempts: Please be aware that any official outreach in response to your application will always be done from a @sony.com email address . Always make sure to double check the spelling on Sony is correct and the characters have not been replaced with any numbers/symbols before replying. Anyone using an email that is not @sony.com is not affiliated with us and should be reported either via the platform they are contacting you on or directly to your email service as a phishing attempt/scam. At SIE, working with our partners, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the individual base pay range may vary based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for benefit offerings that include medical, dental, and vision. Click here to learn more. The estimated base pay range for this role is listed below, this is an hourly rate. $27.22 — $40.87 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Milan Workplace: remote Ajax Systems is an international tech company and the largest manufacturer of security systems in Europe, with over 4.5 million end users and 330K PRO users in more than 180 countries worldwide. The company offers end-to-end solutions for protecting homes and businesses оf any scale. To date, Ajax product portfolio includes 280 devices for intrusion protection, video surveillance, fire and life safety, and comfort and automation.  The company employs 5, 000 specialists.  We develop local teams because we understand local experts best comprehend market specifics. The company has sales representatives worldwide, including Italy, Spain, Germany, France, the United Kingdom, the USA, Australia, South Africa and other regions. The Global Business Development team is like-minded people who share the ambitious goals of Ajax Systems.  The best software combined with powerful hardware has forever changed the perception of security systems for users and industry professionals. Being recognized at the biggest specialized exhibitions such as IFSEC, Expoprotection and Intersec, as well as winning prestigious awards from industry-leading media like PSI magazine and GIT SECURITY, today Ajax is one of the most awarded security systems in Europe. Ajax Systems production includes four factories, two of which are located in Ukraine, one in Turkey and one in Vietnam. At the same time, the company's certification according to the ISO 14001 standard ensures a minimal impact of production on the environment. The selection of components for Ajax device manufacturing is determined by the presence of manufacturer declarations confirming compliance with RoHS requirements. The company emerged against the backdrop of revolution and war. That's why resilience is the cornerstone of the brand's DNA, and the fight against evil by creating the best security and automation devices is Ajax unwavering mission. Key requirements: Graduate degree: University Degree in IT, Engineering 2 or more professional experience in Alarm Systems, video surveillance, and security. An excellent working knowledge of Analogue and IP CCTV and Access Control Systems Experience in installing/designing video surveillance systems, fire alarms, or other security systems Experience in public speaking (as an advantage) Strong communication skills Flexible in terms of business trips, trade shows, and more Has an outgoing personality and can work independently Responsibilities: Conduct technical seminars, exhibitions, presentations, and webinars on the product (for customers and company employees) Introduce product roadmaps and new features for Ajax Systems distributors, as well as installers Teach technical staff at Ajax Systems distributors and dealers to increase their knowledge of products and technology Promote and introduce product solutions according to customer thesis, technical consultation, and support of key clients Market research and сomparative characteristics of products of the competitors Develop long-term relationships with key partners of the company ​​Test product features write technical documentation for new products or solutions, and collaborate with the rest of the team Analyze customer needs in collaboration with the sales department We offer: Full-time employment contract Competitive wages - rate and transparent motivation system A product that sells itself Business trips Payment for courses and conferences, we contribute to our staff A strong, well-coordinated team of professionals We are working to ensure that people's lives are calm and the world safe. Let's become a part of the team that creates a smart and useful global product.   Please, send your CV in English language.

Location: Berlin, Germany; Limassol, Cyprus; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Warsaw, Poland You understand that good legal counsel doesn’t just mitigate risk. It also fosters innovation. Comfortable navigating the gray areas of new technology, you enjoy finding pragmatic paths forward and building frameworks that help teams move faster. About JetBrains We create intelligent software development tools for developers and teams. More than 15 million users, over 300,000 companies, and 88 of the Fortune Global Top 100 rely on our products to solve real, complex problems. Our mission is simple: make development teams more productive and AI adoptable at scale. What you’ll do As we expand our AI initiatives and explore new commercial models, the legal landscape in which we operate is becoming more complex. We are looking for a Senior Legal Counsel to join the Product and Business Development legal team. This role isn't about saying "no"; it's about figuring out "how." You’ll shape scalable legal frameworks that support product innovation, strategic partnerships, and sustainable growth. You’ll work closely with the Product, Go-to-Market, Business Development, Marketplace, and University Relations teams, helping them understand and navigate regulatory realities while keeping the focus on user value. You’ll own the legal life cycle of new offerings and partnerships, collaborating with a team of experienced lawyers to solve problems no one has solved before. Day to day, you will: Advise on the entire life cycle of software products, services, plugins, and AI features - from refining early concepts to retiring older features. Implement legal and regulatory requirements, including AI regulation and consumer protection. Draft, negotiate, and advise on strategic tech, AI partnership, and collaboration agreements. Support JetBrains Marketplace initiatives and relationships with third-party platforms. Guide the legal aspects of our educational, academic, and research initiatives. Improve legal operations by designing templates, playbooks, and self-service resources that reduce the need for manual legal review. Equip the sales and procurement legal teams with product expertise to help them negotiate customer and vendor agreements. Share knowledge and insights across the legal team and broader business to build awareness around best practices. What you’ll bring A pragmatic approach to problem-solving, balancing legal risk with business realities. The ability to explain complex legal concepts clearly and simply to non-lawyers. A strong ownership mentality, seeing matters through from start to finish. Comfort making decisions in ambiguous environments, especially regarding novel technologies like AI. A collaborative mindset, working well with stakeholders across different teams and disciplines. A continuous drive to improve workflows, automating or standardizing routine tasks where possible. Transparency, integrity, and the willingness to speak up when something doesn’t make sense. What you’ll need A formal degree in law (LLB, LLM, Mgr, or equivalent). An extensive background advising multinational corporations on technology and commercial law. A proven track record of successfully drafting and negotiating sophisticated commercial and technology agreements. A deep understanding of software products, digital services, and technology business models. Fluency in English and the ability to negotiate and draft complex legal documents clearly and effectively. The demonstrated ability to manage multiple complex tasks and stakeholder relationships simultaneously. What success looks like Success means you’ll have become a trusted advisor to our product and business teams. You don’t just review contracts. You are actively involved in the strategy, ensuring legal frameworks are an enabler of growth rather than a bottleneck. Over time, you will have established clear, scalable self-service resources that allow teams to handle routine legal questions independently, freeing you up to focus on high-impact, complex challenges. You’ll leave things cleaner and more efficient than you found them. Why join JetBrains? Strong base salary. We offer competitive pay that reflects your skills and experience. Flexible work location. Enjoy the freedom to work from home or from the office. Remote work. Spend up to 30 days per year working remotely from abroad. Extra time off. More days to relax, recharge, and do the things you love. Medical insurance allowance. Enjoy peace of mind for you and your family Learning and development opportunities. Access to conferences, courses, and language classes. Language classes. Pick up the local language or sharpen your English skills. Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays. Mental health support. To help you feel your best, we provide easy access to professional mental health services. Sports benefit. Enjoy an on-site gym or sports club stipend. Internal events. Join company-wide celebrations and team gatherings. *Some benefits may vary depending on location. #LI-HYBRID #LI-TA2 We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Location: London Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. ABOUT THE ROLE Checkout.com http://Checkout.com is looking for a Data Scientist to join our ambitious team, focused on discovering, designing, and experimenting with new estimators, models and features to boost payment performance across our portfolio of merchants. You will work closely with Data Scientists, Product and Engineering to enhance our core offering, protect customer lifetime value through network intelligence, and ensure safe model launches through robust observability. KEY RESPONSIBILITIES - Contribute to the research and development of new ML models and estimators to boost core Acceptance Rate performance. - Design and implement experiments to produce actionable insights, focusing on managing time-based data leakage and ensuring robust model evaluation. - Collaborate with other Data Scientists and engineers to productionise ML features, models and evolve our evaluation and monitoring frameworks. - Write high-quality, interpretable Python code for feature engineering and model training, contributing directly to our core products. - Communicate hypotheses, evaluation results, and monitoring dashboards clearly to both technical and non-technical audiences. ABOUT YOU - 3+ years of experience developing machine learning models to solve business problems. - Strong understanding of supervised ML algorithms, tuning, and performance evaluation. - Experience with a range of feature engineering techniques (e.g. target encoding). - Solid grasp of frequentist and Bayesian statistics for parameter estimation and experimentation. - Experience in writing clean, production-grade Python code for both model training and inference. - Excited to leverage LLMs for coding support and process optimisation to maximise personal and team productivity. NICE TO HAVE - Experience with advanced data transformation techniques (e.g., lambda functions). - Familiarity with, or hands-on experience in, recommender systems, contextual bandits, or network intelligence applications. - Experience in fintech, payments, or building cross-disciplinary relationships for advice and guidance. - Familiarity with the unix shell, Databricks, Docker, and common cloud platforms (GCP/AWS). Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Serbia; Georgia; Armenia Location: Serbia, Georgia, Armenia (Remote) Type: Internship (Full-time preferred) Time zone: CET or within ±3 hours Duration: 6 months (with potential for a long-term role) Compensation : Unpaid About Transparent Hiring Transparent Hiring is an international relocation and recruitment agency helping IT professionals from around the world build careers in Germany and relocate there with confidence. We’ve been growing steadily for over five years, combining the flexibility of a startup with the reliability of an experienced international team. Internship Overview We are looking for a Relocation Assistant Intern , located in either: Serbia , Georgia or Armenia , to support our relocation department. While our recruiters find the jobs, our relocation team ensures that the transition to Germany is seamless. You will assist specialists and their families in navigating the "bureaucratic bridge" between their home country and their new life in Germany. No prior relocation experience is required, you will receive onboarding and training on German immigration laws and procedures. What You’ll Learn & Work On Visa Application Support: Assist in preparing document sets for national visas (D), such as the EU Blue Card, Opportunity Card, and Family Reunion Visa. Document Verification: Review and verify clients’ documents (diplomas, job contracts, marriage certificates) to ensure they meet requirements set by German embassies and consulates. Appointment Management: Coordinate and book appointments at German Diplomatic Missions around the world and German immigration offices. Communication: Draft clear, professional instructions for clients and write professional emails to German authorities. Research: Track updates in German immigration laws and specific local requirements in different German cities. Please read the requirements carefully before applying. Applications that do not meet the requirements will not be considered. What We’re Looking For Fluency in English (C1) and Russian language Excellent written and verbal communication skills Strong attention to detail and solid research habits Comfortable working with Gmail, Google Docs, and CRM systems Eagerness to learn new tools and processes Would Be a Plus Any exposure to visa/relocation support Experience with outreach/messages, scheduling, or structured admin work What We Offer Full training and mentorship — no relocation background required Clear tasks, templates, and feedback to help you grow fast Flexible working hours and a 100% remote setup Supportive, friendly, international team environment Direct collaboration with company founders and senior relocation specialists Evaluation after the internship for a potential transition into a long-term role How to Apply Send us your CV and a short note explaining: why you’re interested in this internship which relocation skills you’d like to develop If you’re proactive, organized, and motivated to help others build international careers — we’d love to hear from you.

Location: Belgium Are you a health or performance professional thinking about a career change? Are you passionate about how technology can help progress your profession? If you have experience working in a clinical or high-performance setting and are a physiotherapist or an athletic trainer a role as a Client Success Manager at VALD could be the change you need! About the VALD Client Success Team Our Client Success team is dedicated to assisting clients in implementing and embedding VALD technology. It all starts with seamless onboarding for new clients, which ensures they have all the tools they need to start using VALD products successfully. The Client Success team continues to support the client throughout their journey with VALD. We are looking for someone to join our team in Belgium. What you will do As a Client Success Manager at VALD, you will work directly with an assigned portfolio of clients as the VALD subject matter expert and strive for the highest level of client satisfaction in the delivery of services. On a day-to-day basis, you will: Manage client onboarding, ensuring clients are fully supported to implement VALD systems successfully. Build strong relationships with clients through online methods and occasionally face-to-face. Identify client support needs and opportunities for growth. Online client presentations using Microsoft Teams. Regular activity tracking and reporting, using SaaS applications – HubSpot, Microsoft Suite, Email. Manage multiple assignments and support requests simultaneously while working independently or with other team members. Critical requirements for this role: You must have used VALD Technology extensively in your current or previous role. The ability to understand and share the client’s perspective and challenges. Excellent grammar, spelling, and proofreading skills. Demonstrated ability to build positive relationships quickly. The ability to think outside of the box to find appropriate solutions. Adaptable and willing to learn new skills and processes. Become an expert on VALD systems. Be able to travel for work. Is this you? We are looking for a physiotherapist, exercise physiologist or sports scientist looking to make a change or, quite simply, a go-getter who is excellent with people—someone with a can-do attitude and who is interested in technology and helping clients implement systems and solutions. You will be a self-starter who is comfortable supporting and educating our amazing clients. You’ll need great organizational and communication skills, as you'll work with many internal and external stakeholders. Ideally, you have: Empathy Excellent communication skills – both verbal and written. Demonstrated ability to build positive relationships quickly. Attention to detail and a commitment to quality control. Strong critical thinking, analytical, and strategic problem-solving skills. Adaptable and willing to learn new skills and processes. Highly organized with practical time management skills. Prior experience using VALD systems. It’s not expected that any single candidate would check every box here. Research shows that while men and women share similarities in how they look for jobs, women may hold back if they don’t meet 100% of the criteria, while men usually apply after completing about 60%. If you meet just some of the requirements but not all, we encourage you to submit your application! We strongly encourage you to apply if you’re at all interested. Show us how your experience could improve our team and widen our perspective. Our selection process includes assessing the requirements of the role vs the individual and how well we think they will work in the VALD team. Why VALD? VALD is the world leader in technology for the allied health industry, providing innovative human-measurement technology to over 10,000 clients in over 150 countries. If you have a favorite team in the NBA, EPL, or NFL, there's a good chance they use VALD Technologies. Since its humble beginnings in 2015 in Brisbane, Australia, VALD has grown to a team of over 300 team members in over 35 countries, with 5 offices across four continents. Driven by a multidisciplinary team of researchers, clinicians, sports scientists, designers, developers and engineers, VALD's suite of systems offer unparalleled insight into human movement, performance, injury risk and rehabilitation. The opportunity to work in a company that is redefining allied healthcare. Learn from a range of high-performing individuals and teams across various disciplines. Be part of a down-to-earth, inclusive and vibrant team. Regular travel opportunities to get the entire VALD team together for your ongoing development. The latest equipment and remote setup to perform at your best. Diversity & Inclusion Commitment VALD’s best asset is not our technology but our people and culture. A culture of inclusion and diversity is critical to our business. We know diverse teams perform better. It's not a separate initiative – we aim to embed inclusion and diversity in everything we do. We are committed to fostering an inclusive work environment and embracing diversity, including gender, nationality, disability, age, marital/parental status, ethnicity, gender identity, socioeconomic background, and sexual orientation. We welcome applications from people from all backgrounds. Successful applicants will be subject to background checks (including identity and criminal record checks). It will be a condition of employment that the background checks return acceptable results.

Location: France Are you a health or performance professional thinking about a career change? Are you passionate about how technology can help progress your profession? If you have experience working in a clinical or high-performance setting and are a physiotherapist or an athletic trainer a role as a Client Success Manager at VALD could be the change you need! About the VALD Client Success Team Our Client Success team is dedicated to assisting clients in implementing and embedding VALD technology. It all starts with seamless onboarding for new clients, which ensures they have all the tools they need to start using VALD products successfully. The Client Success team continues to support the client throughout their journey with VALD. We are looking for someone to join our team in France. What you will do As a Client Success Manager at VALD, you will work directly with an assigned portfolio of clients as the VALD subject matter expert and strive for the highest level of client satisfaction in the delivery of services. On a day-to-day basis, you will: Manage client onboarding, ensuring clients are fully supported to implement VALD systems successfully. Build strong relationships with clients through online methods and occasionally face-to-face. Identify client support needs and opportunities for growth. Online client presentations using Microsoft Teams. Regular activity tracking and reporting, using SaaS applications – HubSpot, Microsoft Suite, Email. Manage multiple assignments and support requests simultaneously while working independently or with other team members. Critical requirements for this role: You must have used VALD Technology extensively in your current or previous role. Have the ability to understand and share the client’s perspective and challenges. Excellent grammar, spelling, and proofreading skills. Demonstrated ability to build positive relationships quickly. The ability to think outside of the box to find appropriate solutions. Adaptable and willing to learn new skills and processes. Become an expert on VALD systems. Have the ability to travel for work. Is this you? We are looking for a physiotherapist, exercise physiologist or sports scientist looking to make a change or, quite simply, a go-getter who is excellent with people—someone with a can-do attitude and who is interested in technology and helping clients implement systems and solutions. You will be a self-starter who is comfortable supporting and educating our amazing clients. You’ll need great organizational and communication skills, as you'll work with many internal and external stakeholders. Ideally, you have: Empathy Excellent communication skills – both verbal and written. Demonstrated ability to build positive relationships quickly. Attention to detail and a commitment to quality control. Strong critical thinking, analytical, and strategic problem-solving skills. Adaptable and willing to learn new skills and processes. Highly organized with practical time management skills. Prior experience using VALD systems. It’s not expected that any single candidate would check every box here. Research shows that while men and women share similarities in how they look for jobs, women may hold back if they don’t meet 100% of the criteria, while men usually apply after completing about 60%. If you meet just some of the requirements but not all, we encourage you to submit your application! We strongly encourage you to apply if you’re at all interested. Show us how your experience could improve our team and widen our perspective. Our selection process includes assessing the requirements of the role vs the individual and how well we think they will work in the VALD team. Why VALD? VALD is the world leader in technology for the allied health industry, providing innovative human-measurement technology to over 10,000 clients in over 150 countries. If you have a favorite team in the NBA, EPL, or NFL, there's a good chance they use VALD Technologies. Since its humble beginnings in 2015 in Brisbane, Australia, VALD has grown to a team of over 300 team members in over 35 countries, with 5 offices across four continents. Driven by a multidisciplinary team of researchers, clinicians, sports scientists, designers, developers and engineers, VALD's suite of systems offer unparalleled insight into human movement, performance, injury risk and rehabilitation. The opportunity to work in a company that is redefining allied healthcare. Learn from a range of high-performing individuals and teams across various disciplines. Be part of a down-to-earth, inclusive and vibrant team. Regular travel opportunities to get the entire VALD team together for your ongoing development. The latest equipment and remote setup to perform at your best. Diversity & Inclusion Commitment VALD’s best asset is not our technology but our people and culture. A culture of inclusion and diversity is critical to our business. We know diverse teams perform better. It's not a separate initiative – we aim to embed inclusion and diversity in everything we do. We are committed to fostering an inclusive work environment and embracing diversity, including gender, nationality, disability, age, marital/parental status, ethnicity, gender identity, socioeconomic background, and sexual orientation. We welcome applications from people from all backgrounds. Successful applicants will be subject to background checks (including identity and criminal record checks). It will be a condition of employment that the background checks return acceptable results.