Вакансии

Location: Amsterdam, Netherlands; Berlin, Germany; London, United Kingdom; Madrid, Spain; Munich, Germany; Prague, Czech Republic; Warsaw, Poland At JetBrains, code is our passion. Ever since we started, back in 2000, we have strived to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create. We just unveiled JetBrains Central,  a platform for agent-driven software development that connects tools, agents, and infrastructure. It enables automated AI workflows to run, be monitored, and be managed across teams – with clear visibility into results, costs, and performance. JetBrains Central provides three core capabilities: Governance and control: Policy enforcement, identity and access management, observability, auditability, and cost attribution for agent-driven work. Some of these functionalities are already available via the JetBrains Central Console . Agent execution infrastructure: Cloud agent runtimes and computation provisioning that allow agents to run reliably across development environments. Agent optimization and context: Shared semantic context across repositories and projects, enabling agents to access relevant knowledge, and task routing to the most appropriate models or tools. Inside the Professional Services department, we are building a team of Forward Deployed Engineers to help our customers adopt AI-native development with JetBrains Central and enable JetBrains consulting partners to transform their customers’ AI-native software development lifecycle. About the role As a Principal Forward Deployed Engineer, you will work directly with early adopter customers to deploy JetBrains Central platform into complex enterprise environments and help them move from experimental AI usage to governed, scalable AI-native development. You will act as a trusted advisor to customer engineering teams and consulting partners, while also mentoring other Forward Deployed Engineers and helping with complex deployments. In this role, you will help establish best practices for enterprise AI adoption and influence how organizations implement AI-driven software development. This role is often a strong fit for engineers who have previously served as Principal or Staff Engineers, Heads of Engineering, CTOs, or Solutions Architects and who enjoy working directly with customers while staying deeply involved with complex technical systems. This role combines consulting, architecture, and hands-on engineering. Your work in the field will directly influence how our platform evolves and how enterprises adopt AI-driven development. You will work directly with the world’s most innovative companies — our client base includes 420 of the Fortune 500 — ensuring they maximize the value of their JetBrains investments. What you’ll do Deploy JetBrains Central platform into enterprise development environments, CI/CD systems, and internal developer platforms. Help organizations transition from ad-hoc AI experimentation to governed AI-native development workflows. Implement enterprise AI governance, including security policies, access management, and data privacy controls. Enable observability for AI-driven development to help organizations understand their AI usage and its impact on productivity, as well as their code-generation patterns. Design sustainable AI adoption strategies, including usage controls and cost visibility across multiple model providers. Integrate our cloud-based agent execution layer, allowing AI agents to run securely and at scale. Collaborate closely with JetBrains product teams to shape the platform based on real-world deployments and customer feedback. Create delivery frameworks and train JetBrains partners to deliver the desired scope of service. Mentor and support other Forward Deployed Engineers, sharing architectural expertise and helping to scale the team’s deployment practices. You will thrive in this role if you are A consultant at heart who can communicate effectively with both engineers and technical leadership. Able to see the whole picture of the software development lifecycle across developer tools, infrastructure, APIs, and cloud systems. Experienced at integrating complex software systems into enterprise environments. Curious about the future of AI agents and AI-native software development. Comfortable working with early adopters and overcoming ambiguous technical challenges. Motivated to mentor other engineers and contribute to building a new technical discipline. What you will bring Experience in software-related projects, ideally in a customer-facing or consulting environment. Familiarity with Java or Python. Experience building or integrating developer platforms, infrastructure systems, or software solutions. Familiarity with modern development workflows (CI/CD, developer environments, internal developer platforms, etc.). Experience working directly with customers or technical stakeholders. Strong problem-solving skills and the ability to operate in fast-evolving technical environments. Ability and desire to travel to meet customers. These would be a plus, but are not blockers Experience with industry-specific solutions (fintech, telco, retail, etc.) Experience with AI/LLM platforms, agent frameworks, or AI-assisted development tools. Experience in solutions engineering, consulting, or forward-deployed engineering roles. Familiarity with the JetBrains ecosystem or developer productivity tooling. #LI-KP1 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.

Задачи: — Разработка простых Android-приложений с нуля — Доработка и адаптация готовых source-кодов под Google Play — Интеграция SDK (реклама, аналитика, подписки) — Подготовка приложений к публикации — Фикс багов и поддержка уже запущенных приложений Требования к кандидату: — Опыт Android-разработки от 1–2 лет — Уверенное знание Kotlin / Java — Опыт работы с Android Studio — Понимание публикации приложений в Google Play — Опыт интеграции SDK (AdMob / Firebase / подписки) — Умение быстро разбираться в чужом коде — Будет плюсом: * Опыт работы с покупными source-code шаблонами * Опыт работы с ASO / монетизацией приложений * Опыт работы с подписками (in-app purchases) * Понимание продуктового подхода (быстрые тесты гипотез) Условия: — Полностью удалённая работа — Свободный график (главное — результат) — Возможность работать как проектно, так и фултайм — Быстрые релизы и минимум бюрократии — Работа напрямую с фаундером

Задачи: — Поддержка SSP/DSP; — Командный code-review; — Активное участие в выборе необходимых технологий; — Документирование созданного программного обеспечения. Требования: — Опыт коммерческой разработки на Go от 4-5 лет, обязательно 4 года последний опыт на Go, остальной опыт на C++, Java или C#; — Опыт работы с HighLoad-проектами (не менее 10K-20K RPS при стандартной нагрузке); — Хорошее знание SQL/NoSQL (Redis, Kafka, Postgres, Linux, MongoDB); — Понимание веб-технологий и опыт работы с трафиком; — Опыт создания новых оптимальных алгоритмов проектирования и развития системы и продуктового направления; — Опыт работы с Git на уровне опытного пользователя; — Реальный опыт менторства (обучение программистов ниже уровнем). Будет преимуществом: — Знание ClickHouse, Aerospike, ScyllaDB, Apache Cassandra; — Опыт работы в домене с рекламой и programmatic advertisement; — Опыт работы в Bigtech, маркетплейсах и adtech отделах; — Опыт работы с RTB (биддер, аукцион); — Опыт работы с высоконагруженными проектами (от 20K-30K RPS); — Неформализованный управленческий опыт; — Технический английский; — Понимание сетевых протоколов; — Опыт работы с видео, рекламой или аналитическими системами. Условия: — Полностью удалённая работа из любого города РФ, есть офисы в Москве для желающих работать в офисе или гибридно; — Рабочий график 5/2 с 9:00 до 18:00 или с 10:00 до 19:00 по МСК; — Отсутствие трекинга рабочего времени; — Оформление по ТК РФ; — Годовая премия 8,3% годового дохода; — Обучение, участие в интересных проектах и расширение профессиональной экспертизы; — ДМС, оплата мобильной связи, предоставление техники; — Удалённое оформление и доставка оборудования; — ИТ-аккредитованная компания (полный соцпакет); — Только один этап интервью с представителями компании (Ведущий разработчик и Технический директор).

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.   WHOOP is hiring a Software Engineer II to join the Business Systems team. In this role, you will design and implement the backend systems that power WHOOP’s internal operations, enabling scale and efficiency across the organization. You’ll architect and maintain critical services and integrations that support Finance, Operations, Member Services, and other business functions. By building reliable, secure, and performant systems, you’ll directly shape how WHOOP delivers value to its members and scales globally. RESPONSIBILITIES: - Design, implement, and maintain scalable backend services and APIs that power business-critical systems and integrations. - Contribute in design and implementation of scalable data pipelines, automation, and workflows that improve operational efficiency. - Collaborate with product managers, data engineers, and internal business teams to gather requirements and build effective technical solutions. - Contribute to the team’s codebase with high-quality, testable, and well-documented code. - Identify system bottlenecks and improve the performance, reliability, and maintainability of backend systems. - Contribute to long-term technical strategy for Business Systems and identify opportunities for automation and process improvement. - Participate in code reviews and mentor junior engineers to foster a culture of engineering excellence. QUALIFICATIONS: - BS in Computer Science, Engineering, or equivalent experience. - 2+ years of experience in backend software development with a strong foundation in computer science principles - Strong proficiency in at least one modern backend programming language (e.g., Java, Python, Go, or similar). - Experience building and maintaining APIs, integrations, and distributed systems. - Comfortable working with relational databases, data modeling, and query optimization. - Experience with cloud-based infrastructure (e.g., AWS, GCP, or Azure) and distributed systems. - Excellent communication skills and ability to work cross-functionally with technical and non-technical teams - Strong sense of ownership and ability to deliver quality solutions in a fast-paced environment - A growth mindset and eagerness to learn from feedback and new challenges. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework https://engineering.prod.whoop.com/careerframework.   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.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   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 $125,000 - $175,000. 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.

Location: Hong Kong, Hong Kong SAR Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. Key Responsibilities Design and optimize high throughput order execution systems with sub-millisecond latency targets Build real time market data pipelines aggregating order books and price feeds from multiple exchanges Implement position tracking with exchange reconciliation, risk limits, and multi account support Develop exchange connectivity using FIX 5.0+, WebSocket, and HTTP/2 protocols Profile and eliminate latency hotspots using garbage free coding and lock free concurrency Implement pre-trade risk controls, circuit breakers, and rate limiters Qualifications Solid STEM (Science/Technology/Engineering/Mathematics) education background. 5-8 years software development experience, preferably in trading/oms/latency sensitive systems Strong Java 17+ proficiency with understanding of JVM internals and GC behavior Hands-on experience with FIX 5.0+, WebSocket, and HTTP/2 protocols Solid multi-threaded programming and concurrent systems knowledge Understanding of order lifecycle and market microstructure basics Strong problem solving skills and attention to detail Excellent communication and collaboration skills Ability to work independently and as part of a team in a fast paced environment Preferred Skills Cryptocurrency/Digital Assets: Crypto exchange APIs, DeFi, blockchain trading Execution Algorithms: TWAP, VWAP, iceberg, sniper, or other smart order routing strategies IPC Technologies: Aeron, Chronicle Queue, shared memory messaging Proficiency or strong interest in Rust for performance critical systems development Low latency libraries: Agrona Collections, Protocol Buffers, SBE for high performance serialization Spring Framework, Netty, Vert.x Timeseries databases (e.g InfluxDB) Redis, etcd for caching and coordination Technical Environment Languages : Java 17+, Rust, Python Protocols : FIX 5.0+, WebSocket, HTTP/2 Stack : Spring, Netty, Aeron, Chronicle Queue, Redis, MySQL, InfluxDB Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowance Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Hong Kong, Hong Kong SAR Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity You will join our Data & Analytics team, which owns two core data domains end to end: • Public market data — trades, quotes, funding, and full order-book data continuously captured from global crypto exchanges at petabyte scale. • Proprietary trading data — orders, fills, positions, balances, and settlement activity streamed from internal desks and systems. We are one team rather than separate engineering and analytics functions. The same people build pipelines, model data, validate its correctness, and answer the business questions it supports. You will see data problems through end to end: from the exchange connection or internal source through to the analysis produced from it. This is an exciting time to join. We are rebuilding the platform on ClickHouse, Apache Iceberg, and Kafka while continuing to support live trading. The work combines substantial platform design with hands-on ownership of business-critical data. What You’ll Be Doing • Build and operate pipelines that bring market and trading data into our platform, including ingestion, parsing, normalization, validation, and storage. • Build and extend Python- and SQL-based datasets and data models used by trading desks, quants, research, and analytics teams. • Own data correctness through source reconciliation, data-quality and completeness checks, gap and duplicate detection, backfills, and replays. • Investigate discrepancies end to end. Trace unexpected numbers through the pipeline to the source and fix root causes rather than symptoms. • Onboard new exchanges, venues, products, and internal data sources, addressing real-world external-feed behaviour including authentication, rate limits, disconnects, missing history, and schema changes. • Support data users through query support, data access, APIs, and client libraries. • Operate what you build, including monitoring, alerting, and incident response for owned pipelines and datasets. • Contribute to the migration toward ClickHouse, Iceberg, Kafka, and Kubernetes by running new and legacy paths in parallel, reconciling results, and cutting over safely. • Use AI coding assistants and LLM tooling to improve development, debugging, and data investigation, while applying sound judgement and independently validating outputs. • Depending on team needs and your strengths, develop deeper expertise in either real-time platform and pipeline engineering or proprietary trading-data datasets and analysis. Both are core to the team. What We Look For In You • Bachelor’s degree or above in Computer Science, Engineering, or a related quantitative field. • 3–5 years of hands-on experience in data engineering, software engineering, or analytics engineering. • Strong production-quality programming skills in Java, Python, or both. • Sound data-modelling judgement. You can design schemas that scale with evolving data and use cases, including keys, granularity, partitioning, and schema evolution. • Ability to reason about query behaviour and performance over large datasets. • Demonstrated production ownership. You have designed, delivered, and operated a pipeline, service, or dataset that other teams depend on, including its reliability, monitoring, and failure modes. • Rigour in data correctness. You validate outputs before they reach users, cross-check against independent sources where possible, and treat silent data errors as serious defects. • Structured problem-solving under uncertainty. You can decompose ambiguous data discrepancies, form and test hypotheses, and reach defensible conclusions while clearly stating assumptions and outstanding verification needs. • Strong initiative and persistence. You identify gaps, act without waiting for direction, work through difficult problems, and get up to speed quickly on unfamiliar systems and domains. • Strong communication skills in both Chinese and English. Nice to Have • Experience in crypto, market data, trading systems, or trading operations. • Strong Java systems-engineering capability, including JVM and concurrency fundamentals, profiling, performance tuning, and reliable high-throughput services. • Strong Python data-engineering capability, including pandas, Polars, PyArrow, or Spark; experience with vectorisation, memory behaviour, and processing datasets larger than memory. • Experience delivering tested, packaged Python tooling that other teams depend on. • Depth in trading-data analysis, such as reconstructing positions from fills, balances from transfers, or PnL across settlement or expiry boundaries. • Experience reconciling derived trading data against authoritative sources and resolving discrepancies between systems. • Experience with real-time streaming pipelines, ideally Kafka, including ordering, gap detection, checkpoints, restart recovery, and replay. • Hands-on experience with time-series or analytical databases, including partitioning, retention, and query-performance tuning at scale. • Exposure to Apache Iceberg, Parquet, Spark, gRPC, Kubernetes, or cloud data infrastructure. • Experience building connectors to external REST or WebSocket APIs. Working Model • Hong Kong, onsite (in-office). Perks & Benefits • Competitive total compensation package. • Learning and development programs and education subsidy for employees’ growth and development. • Various team-building programs and company events. • Wellness and meal allowances. • Comprehensive healthcare schemes for employees and dependents. • More that we would love to tell you about during the process. Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: New York OR Chicago OR Austin OR Old Greenwich WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. The Role: We are seeking a senior technology leader to manage a high performing team that handles our electronic execution. In collaboration with the team’s software architect we are looking for someone to: Retain, recruit, and develop a lean team of developers Drive cross team collaboration to ensure prioritization and execution Lead the adaptation of best-in-class engineering practices consistent with our technology organization’s  philosophy Escalate and resolve intra- and cross-group misalignment as needed What You'll Bring: Previous experience as a software engineering manager leading experienced teams or technology organizations within the financial domain Ability to reduce complex concepts into understandable, actionable tasks Proven experience with delivering best in class technology platforms in C++, Java or Python Familiarity with and inspired by trends in modern computing and new technologies Degree in Computer Science and or related field and 10+ years’ experience leading strategy and delivering solutions for multiple industries and/or solution domains Ability to act as an evangelist who inspires internal audiences through clarity of message and setting of  best practices Locations: Chicago, NYC, CT, or  Austin Our Benefits: Core Benefits: Fully paid medical and dental insurance for employees and dependents, flexible spending account, 401k, fully paid parental leave, generous PTO (paid time off) that consists of: twenty vacation days that are pro-rated based on the employee’s start date, at an accrual of 1.67 days per month, three personal days, and ten sick days. Perks: Employee discounts for gym memberships, wellness activities, healthy snacks, casual dress code Training: learning and development courses, speakers, team-building off-site Employee resource groups Pay Transparency: WorldQuant is a total compensation organization where you will be eligible for a base salary, discretionary performance bonus, and benefits. To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state.  We set standard base pay ranges for all roles based on job function and level, benchmarked against similar stage organizations.  When finalizing an offer, we will take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package. The Base Pay Range For This Position Is $150,000 – $250,000 USD. At WorldQuant, we are committed to providing candidates with all necessary information in compliance with pay transparency laws.  If you believe any required details are missing from this job posting, please notify us at WQHR_US@WorldQuant.com , and we will address your concerns promptly. By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. #LI-RS1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: London Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. Who You Are: We are seeking a highly skilled Quantitative Developer to join our Crypto trading desk. The successful candidate will collaborate with traders, quants, and other developers to design, implement, and optimize market making and quantitative trading strategies. This role requires a strong background in software development, quantitative analysis, and financial markets, particularly in the FX and Crypto trading domains. What You’ll Do: Develop, implement, and maintain high-performance trading algorithms and models for Crypto markets Collaborate with traders and quantitative analysts to understand trading strategies and translate them into efficient code Optimize existing trading systems for speed, reliability, and scalability Integrate new data sources and ensure data integrity for accurate model input Monitor and troubleshoot live trading systems, ensuring minimal downtime and optimal performance Stay up-to-date with the latest advancements in quantitative finance, software development, and Crypto markets Contribute to the continuous improvement of development processes and tools Embrace and champion the thoughtful adoption of AI to improve team performance and business outcomes Leverage AI tools (e.g., generative AI, automation platforms, data copilots) to improve productivity, decision-making, and output quality in your day-to-day work What We’re Looking For: Experience working in algorithmic trading environments in Java. Knowledge of tick data analytics and real-time market data processing. Familiarity with cloud-based market access or hybrid deployments. Proven experience in developing and implementing quantitative models and trading algorithms Strong programming skills in Java Experience with high-frequency / low-latency trading systems Experience working on an FX or Cryptocurrency trading desk Experience in integrating and executing strategies on DeFi platforms (SOL/ETH) Excellent communication skills, both written and verbal Bonus Points: Experience in the DeFi, or crypto Experience with market making / market making as a service Exposure to regulatory or compliance-driven environments Familiarity with cloud-based infrastructure (e.g., AWS, GCP) or DevOps processes What We Offer*: Competitive base salary and discretionary bonus Company-paid health and protective benefits for employees and their eligible dependents Free virtual coaching and counseling sessions Opportunities to learn about the Crypto industry Smart, entrepreneurial, and fun colleagues Employee Resource Groups *Benefits may vary depending on location. Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

Location: Remote; Armenia; Serbia; Kazakhstan; Georgia; European Union Workplace: Remote 🌍 Remote | UTC+8 | Core collaboration hours: 1:00–7:00 PM Manila Time Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines. We combine global fintech expertise with deep local market knowledge to make financial services simple, accessible, and useful for millions of people across the region. 7M+ app downloads. 2M+ monthly active users. 7,000+ partner stores. US$310M+ raised from leading global investors. Manila-based, globally distributed, and hybrid-first — our team spans 45+ countries. If you want to solve complex problems at scale and impact how millions of people access and manage money, come build with us. Southeast Asia's fintech moment starts here. About the role: You'll design, build, and scale the core banking and partner platforms behind Salmon's products — the APIs, integrations, and shared components other engineering teams build on. What you'll do: - Work on high-load, mission-critical systems where reliability directly affects live banking and lending products. - Build on a modern JVM stack — Kotlin, Ktor, jOOQ, coroutines, Arrow — running in Docker and Kubernetes on AWS. - Influence architectural decisions on shared platform components used across the company. What you'll own: - Design and evolve banking APIs for mobile applications and internal and external services. - Build scalable backend services in Kotlin and modern JVM technologies. - Develop public APIs, internal SDKs, and shared platform components other teams depend on. - Implement high-performance integrations with partners and third-party systems. - Contribute to the architecture, scalability, and reliability of the core banking and partner platforms. What makes you a strong fit: - 5+ years in the JVM ecosystem, with strong expertise in Kotlin or Java. - Deep understanding of concurrency and asynchronous programming. - Experience designing systems with clean architectures — DDD and event-driven approaches. - Solid knowledge of distributed systems and their trade-offs. - Hands-on experience with Docker and Kubernetes, preferably in an AWS environment. - Readiness to work primarily in Kotlin. What we offer: Ownership and flexibility - Stock option plan — four-year vesting with a 25% cliff after the first year. - Fully remote work with core collaboration hours from 13:00 to 7:00 PM Manila time (UTC+8). - Company-provided tools and equipment. Health and time off - Medical insurance support for you and your family through co-funding or reimbursement, depending on your location and subject to policy limits. - Access to an internal mental health support specialist. - 22 vacation days, Philippine public holidays, and 15 sick days. Growth and team experience - Opportunities to learn and share your expertise through internal expert meetups, external conferences, speaking opportunities, and industry publications. - Company-sponsored trips to Manila to meet and work with your team in person. - High-performing teams can earn a dedicated beach house week in Southeast Asia. We believe strong teams are built by people with different backgrounds, experiences, and points of view. Salmon is an equal opportunity employer, and we make hiring decisions based on skills, experience, and potential.

Location: Berlin, Germany Workplace: hybrid Berlin • Cybersecurity & AI Startup • Recently Funded A newly funded cybersecurity startup in Berlin is looking for a Backend Engineer(Go) to join as a founding team member and help design the core security, identity, and enforcement foundations of a next-generation AI-powered security risk management platform. We are an early-stage startup founded by experienced cybersecurity leaders with backgrounds in Israeli Intelligence units. We are looking for a hands-on Founding Backend Engineer(Go) for a hybrid role based in central of Berlin. If you are passionate about cybersecurity and AI tech, thrive in fast-paced startup environments, and enjoy building complex platforms from the ground up, this is an opportunity to make a real impact. They’re building a next-generation cyber risk platform that helps enterprises understand, measure, and reduce identity risk at scale. Their goal is to turn complex identity and security data into clear, actionable risk insights that CISOs and CTOs can trust. You will work from scratch on core platform components from day one, shaping how modern enterprises manage and reason about risk using cloud-native systems, AI-driven analysis, and automated enforcement through AI agents. Key Responsibilities Develop and maintain backend applications using Go Design and optimize cloud-based solutions using AWS services (EC2, Lambda, S3, SQS, SNS, etc.) Design, use and manage databases , including PostgreSQL, Neo4J, Redis, and Elasticsearch Develop, manage, and optimize containerized applications using Docker Automate processes using Bash/Python scripting Optimize and maintain RESTful APIs , ensuring security and performance Work closely with frontend engineers, DevOps, and product team to deliver robust applications Monitor, debug, and improve backend performance , reliability, and scalability Implement caching, messaging queues, and event-driven architectures where needed Build whole platform from scratch Must have skills 5+ years of GoLang experience Hands-on coding mentality; can build things from scratch and familiar with different architectures Hands-on experience with Docker, Kubernetes (EKS) and containerized workloads Experience designing RESTful and gRPC APIs and using frameworks like Gin Hands-on experience with messaging systems (e.g., SQS , Kafka ) Experience with CI/CD pipelines (GitHub Actions or similar) Experience operating PostgreSQL (RDS / Aurora), Neo4J(or similar) Experience with AI agents , LLM-based systems, MCP, RAG, Prompts, Embeddings, Vector, etc Experience with AI stack (AWS Bedrock, LangChain, pgvector or similar) Experience with Infrastructure as Code (Terraform) Experience with monitoring, logging, observability (Grafana, OpenTelemetry, Prometheus) Ability to troubleshoot production issues end to end Experience with Coding CoPilots (Claude Code, GitHub Copilot, AWS CodeWhisperer, Codex, etc.) Experience supporting production SaaS platforms Strong understanding of SaaS integrations and app-to-app permission flows High ownership mentality, startup mindset, and ability to move quickly Experience in startup or scale-up environments Low ego, high commitment, and a true tech startup mentality Strong problem-solving skills and ability to work in a collaborative environment Excellent English communication skills Nice-to-have requirements Experience working with Java Ability to code in Python Experience with security architecture, identity security, or security engineering Familiarity with compliance frameworks (NIS2, DORA, ISO 27001, SOC 2) Experience with AWS in production environments Exposure to graph-based modeling (identity graph, access graph, risk graph) Familiarity with compliance frameworks (NIS2, DORA, ISO 27001, SOC 2) Understanding of OAuth/OIDC, API tokens, IdP, scopes, SSO, SCIM, roles, RBAC/ABAC, service accounts Familiarity with cloud identity and security controls (e.g. IAM, CloudTrail, Azure Active Directory / Entra ID ) Hands-on with SIEM platforms such as Splunk, Microsoft Sentinel, or IBM QRadar Experience designing permission models, identity graphs, or access control frameworks Knowledge of tokenization, Zero Trust principles , least privilege, and continuous verification Experience with Security related to AI/LLM systems, agent logic, or willingness to learn fast Familiarity with AI agent behavior , LLM security, or agent sandboxing Previous experience in cybersecurity , identity startups You are a fan of rock or metal music Excellent German communication skills Benefits Founding Team Member Equity — ESOPs in a cybersecurity company Competitive Compensation — salary aligned with market, flexible early-stage arrangements possible Founding Team Member Status — shape the company from day one and own critical technical decisions Fresh Funding Secured — immediate runway to build, hire, and execute fast Security Contribution — contribute to security architecture across identity, AI agents, and enforcement High Autonomy — freedom to design and build without corporate overhead Work with a Technical CEO and CPTO — fast iteration, strong alignment, clear direction Cutting-Edge Domain — identity security, SaaS-to-SaaS access, AI agent governance Massive Learning Curve — quickly gain depth in cybersecurity, identity, and AI systems Fast Career Path — opportunity evolve into leadership as we scale the engineering team Berlin Location — top-tier tech environment with strong cybersecurity and AI ecosystems Direct Impact — your architecture and code become the foundation of the entire platform Best Equipment and Tools - High quality equipment and modern tools to help you do your best work from day one Team Offsites - Regular team offsites designed to build strong connections, alignment, and shared momentum

Location: Salt Lake City, Utah, United States About the Role iCapital is looking to hire a Software Developer in Test to work on the iCapital platform. This individual will bring practical knowledge of agile development methodologies and engineering best practices. This role will work closely with the Development and Testing team. The ideal candidate is a combination of a hands-on test engineer who has some managerial experience, and who can understand existing automation test frameworks and has an ability to enhance and implement the same and should also be able to work with other engineers and product managers to support feature-based testing. Responsibilities Build and implement robust automated test suites for API and backend services. Integrate automated test suites into existing GitLab CI/CD pipelines and deployment workflows. Maintain and improve automation frameworks to accommodate evolving system architecture, including blockchain based components. Collaborate with developers, product managers, and DevOps engineers to ensure testability and quality across distributed systems. Create and manage defect workflows integrated with tools such as JIRA, ensuring clear communication and traceability. Define, track, and publish meaningful QA metrics to support automated test development, execution, and overall quality reporting. Build and maintain performance and load testing suites for critical backend services and smart contract interactions where applicable. Perform all types of testing as needed like Functional, API, Automation, Performance, and Integration testing. Contribute to continuous improvement of QA processes, tooling, and best practices within an Agile environment. Qualifications 10+ years of experience with QA engineering delivery experience with strong focus on backend or API testing 7+ years of delivery within Agile SDLC teams ideally with CI/CD Strong experience testing REST APIs, backend microservices, and distributed systems Experience working with blockchain technologies (i.e. smart contracts, distributed ledgers, blockchain node interaction) is preferred Solid understanding of CI/CD tooling and pipelines, especially GitLab CI/CD Experience with Java, Playwright, Behave, Postman/REST Tools, JMeter or similar performance tools Experience with Gitlab, Git, Jenkins, and Docker AI Integration experience is preferred Exposure to banking or finance environments is preferred Benefits The base salary range for this role is $110,000 to $155,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.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.

Задачи: — Написание модуля ядра Linux для реализации функционала управления файлами/процессами. — Переписывание системных вызовов и API под Linux. — Устранение зависимостей от Windows-драйверов. — Минимизация накладных расходов драйвера. — Исправление багов, связанных с производительностью и безопасностью. — Работа с инструментами профилирования (perf, strace). — Настройка взаимодействия драйвера с клиентскими модулями. — Тестирование функционала вместе с Java и аналитиком. Требования: — Глубокие знания POSIX API и системных вызовов Linux. — Опыт работы с файловыми системами, файловыми дескрипторами, mmap, epoll/inotify. — Работа с процессами, потоками, IPC (Inter-Process Communication). — Опыт создания модулей ядра Linux (Kernel Modules) для управления файлами и процессами. — Знание структуры VFS (Virtual File System) в Linux. — Умение работать с системными хуками (например, ptrace, seccomp). — Навыки профилирования и оптимизации кода для минимизации накладных расходов. — Умение работать с GDB, perf, strace и системными логами. — Опыт работы с Makefile, CMake. — Знание Git и CI/CD систем. — Понимание безопасности: учет уязвимостей и защита данных на уровне драйверов. Условия: — Удаленный формат работы над интересным и сложным проектом.

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 is investing $50 billion in American computing infrastructure, including datacenters custom-built for our workloads, and this role sits at the heart of that effort. As a Staff Engineer on the Datacenter Server Lifecycle team, you will own the end-to-end operational journey of every machine in our datacenters – from initial provisioning and deployment, steady-state operation, maintenance, and repair. This is greenfield work: you will help define the services, tooling, standards and processes that govern how we operate critical  hardware at scale, powering frontier model development and serving. You will have the opportunity to define AI-native workflows for datacenter operations and to help drive innovations on efficiency, performance, and reliability. A distinguishing aspect of this role is its deep intersection with security. The machines in our datacenter handle some of the most sensitive workloads in AI – training frontier models and serving millions of users interacting with Claude. Ensuring that every machine in the fleet is trusted, attested, and operating with a verified chain of integrity from the hardware up is a core part of the job, not an afterthought. You will partner closely with our Infrastructure Security team to define and enforce trusted compute standards across the lifecycle, from secure provisioning through end-of-life handling. Key responsibilities Build automation to support datacenter fleets at scale. Define and own the end-to-end system lifecycle strategy – from provisioning and deployment through operation, maintenance, refresh, and decommissioning – and maintain automation and operational procedures for common lifecycle events (e.g., hardware failures, firmware upgrades, fleet rotations). Partner closely with Infrastructure Security to design and enforce trusted compute standards across the server lifecycle. Work closely with our Networking team to ensure end-to-end connectivity across all sites. Build and maintain tooling to track machine health, configuration, and operational status across the full datacenter fleet. Minimum qualifications Hands-on experience with server hardware, including rack deployment, cabling, troubleshooting, and understanding failure modes at scale. End-to-end understanding of hardware lifecycle management: asset tracking, provisioning workflows, maintenance scheduling, and decommissioning practices. Proficiency in at least one programming language (e.g., Python, Rust, Go, or Java). Working knowledge of modern cloud infrastructure, including Kubernetes and large scale cloud providers (e.g. AWS, Azure, GCP). Ability to communicate clearly and build consensus with a wide range of stakeholders. Comfort navigating ambiguity and making progress on complex, cross-functional problems. Willingness to travel occasionally to datacenter sites across North America. Preferred qualifications 8+ years of experience in datacenter infrastructure management, or a closely related discipline. Hands-on experience with GPU or AI accelerator hardware (e.g., NVIDIA A100/H100, Google TPUs, or AWS Trainium) and an understanding of their operational demands. Familiarity with modern provisioning and OS tooling such as LinuxBoot and NixOS Experience building or contributing to datacenter automation or fleet management platforms. Experience building and deploying server operating system distributions across large server fleets. Background in large-scale capacity planning and hardware refresh strategy, ideally at a hyperscaler or large cloud provider. Experience with trusted compute and hardware security concepts such as secure boot, TPM, hardware attestation, and firmware verification — or a strong desire to develop deep expertise in this area. 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. 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, Canada Workplace: remote At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. The Role   We're looking for an applied AI researcher who has worked hands-on with healthcare data and is building modern LLM, RAG, and agentic AI systems.   Reporting to the Vice President, Advanced Technology, you will be a member of the Advanced Technology / Applied AI Research team at PointClickCare.   You are a talented Senior Applied Researcher, looking to make a difference solving critical customer and business challenges in the dynamic healthcare market. You thrive applying creative and pragmatic solutions—from framing problems and preparing data, to selecting appropriate techniques, building and evaluating model systems—that will truly transform healthcare and enable our customers to deliver exceptional care.   Responsibilities - Apply machine learning and AI techniques including GenAI and LLM-based approaches to develop model systems and solutions, collaborating across functions to scale and integrate these into large-scale cloud-based SaaS production environments for healthcare. - Work with product leaders, clinical informaticists, data scientists, UI/UX researchers, engineers, and healthcare professionals to design and deliver high value solutions. - Design, build and evaluate solutions that may involve structured or unstructured data for healthcare use cases, delivering capabilities such as predictive models, summarization, recommenders, semantic search, extraction, classification, or other AI/ML applications - Perform research and experimentation to select appropriate approaches, algorithms, and evaluation methods, and execute the R&D needed to deliver production-ready model systems. - Perform data collection, cleaning, analysis, prompt tuning, parameter fine-tuning, model training, development, and evaluation—using existing or developing new tools or workflows as needed. - Apply and help evolve responsible AI evaluation practices, using approaches and frameworks such as LLM-as-judge, RAGAS, and LangSmith, and design and implement custom model performance and quality metrics as needed to ensure model quality, fairness, and safety at scale. - Contribute to a collaborative team culture, sharing knowledge and helping develop new capabilities across the organization.   Required Experience - Ph.D grad, with 1+ years related industry experience OR Masters grad with 4+ years industry experience--including at least 1 year directly related to healthcare ML/AI       - Proven industry experience through multiple major product releases in a commercial SaaS environment. - Hands-on experience working with healthcare data (e.g. EHR, ADT, clinical notes). - Proficiency in Python. Proficiency in Java or other languages helpful. - Proficiency with SQL and data engineering for AI/ML applications. - Experience working with large datasets using big data frameworks (e.g. Azure Data Lake, Apache Spark or Databricks) - Solid understanding of transformer models and LLM-based approaches, including hands-on experience with prompt tuning and PEFT methods (e.g. LoRA, QLoRA) using frameworks such as Hugging Face Transformers. - Experience building and evaluating models using modern ML packages such as NumPy, SciPy, Pandas, Scikit-learn, PyTorch, and LightGBM. - Experience building and deploying models using public cloud infrastructure (Azure, AWS, or Google Cloud), including familiarity with version control, CI/CD pipelines, and scaling considerations for production ML systems at SaaS scale. - Strong communication and collaboration skills; comfortable working on a distributed team. - Experience with one or more of: reinforcement learning or RLHF, NLP techniques for summarization, extraction, classification, or semantic search, retrieval-augmented generation (RAG) pipelines and/or agentic frameworks (e.g. LangChain, LlamaIndex).    #LI-AV1 #LI-remote PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $159,000-176000 (not overtime eligible) + bonus + benefits. Compensation is assessed individually and aligned to experience, skills, and market context. The posted range reflects typical expectations for this role.

Location: Remote - US Workplace: remote At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. The Role   We're looking for an applied AI researcher who has worked hands-on with healthcare data and is building modern LLM, RAG, and agentic AI systems.   Reporting to the Vice President, Advanced Technology, you will be a member of the Advanced Technology / Applied AI Research team at PointClickCare.   You are a talented Senior Applied Researcher looking to make a difference solving critical customer and business challenges in the dynamic healthcare market. You thrive applying creative and pragmatic solutions—from framing problems and preparing data, to selecting appropriate techniques, building and evaluating model systems—that will truly transform healthcare and enable our customers to deliver exceptional care.   Responsibilities - Apply machine learning and AI techniques including GenAI and LLM-based approaches to develop model systems and solutions, collaborating across functions to scale and integrate these into large-scale cloud-based SaaS production environments for healthcare. - Work with product leaders, clinical informaticists, data scientists, UI/UX researchers, engineers, and healthcare professionals to design and deliver high value solutions. - Design, build and evaluate solutions that may involve structured or unstructured data for healthcare use cases, delivering capabilities such as predictive models, summarization, recommenders, semantic search, extraction, classification, or other AI/ML applications - Perform research and experimentation to select appropriate approaches, algorithms, and evaluation methods, and execute the R&D needed to deliver production-ready model systems. - Perform data collection, cleaning, analysis, prompt tuning, parameter fine-tuning, model training, development, and evaluation—using existing or developing new tools or workflows as needed. - Apply and help evolve responsible AI evaluation practices, using approaches and frameworks such as LLM-as-judge, RAGAS, and LangSmith, and design and implement custom model performance and quality metrics as needed to ensure model quality, fairness, and safety at scale. - Contribute to a collaborative team culture, sharing knowledge and helping develop new capabilities across the organization.   Required Experience - Ph.D. grad, with 1+ years related industry experience OR Masters grad with 4+ years industry experience--including at least 1 year directly related to healthcare ML/AI       - Proven industry experience through multiple major product releases in a commercial SaaS environment. - Hands-on experience working with healthcare data (e.g. EHR, ADT, clinical notes). - Proficiency in Python. Proficiency in Java or other languages helpful. - Proficiency with SQL and data engineering for AI/ML applications. - Experience working with large datasets using big data frameworks (e.g. Azure Data Lake, Apache Spark or Databricks) - Solid understanding of transformer models and LLM-based approaches, including hands-on experience with prompt tuning and PEFT methods (e.g. LoRA, QLoRA) using frameworks such as Hugging Face Transformers. - Experience building and evaluating models using modern ML packages such as NumPy, SciPy, Pandas, Scikit-learn, PyTorch, and LightGBM. - Experience building and deploying models using public cloud infrastructure (Azure, AWS, or Google Cloud), including familiarity with version control, CI/CD pipelines, and scaling considerations for production ML systems at SaaS scale. - Strong communication and collaboration skills; comfortable working on a distributed team. - Experience with one or more of: reinforcement learning or RLHF, NLP techniques for summarization, extraction, classification, or semantic search, retrieval-augmented generation (RAG) pipelines and/or agentic frameworks (e.g. LangChain, LlamaIndex).    #-LI-AV1 #LI- remote PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The USD base salary range for this position is $182,700-203000 (not overtime eligible) + bonus + benefits. Compensation is assessed individually and aligned to experience, skills, and market context. The posted range reflects typical expectations for this role.

Location: Riyadh, Saudi Arabia; Cairo, Egypt; Delhi, India; Casablanca, Morocco; Dubai, United Arab Emirates Müller’s Solutions is looking for a Google Cloud Application Modernization Specialist to drive our application modernization initiatives. In this role, you will work closely with clients to assess their existing applications and transform them into modern, cloud-native solutions using Google Cloud technologies. Your expertise will enable organizations to leverage the flexibility, scalability, and innovation that Google Cloud offers. Key Responsibilities: Evaluate existing application architectures and identify opportunities for modernization using GCP services. Design and implement cloud-native architectures that enhance application performance and scalability. Guide clients through the application migration process, ensuring best practices are followed to minimize downtime and disruptions. Collaborate with development teams to refactor and containerize applications for deployment on Google Kubernetes Engine (GKE) or App Engine. Facilitate workshops and training sessions to educate clients about cloud technologies and modernization strategies. Assess and implement DevOps practices and CI/CD pipelines to streamline application delivery and operations. Monitor and optimize modernized applications to ensure they meet performance, security, and compliance standards. Document modernization processes, architectures, and lessons learned for knowledge sharing within the organization. Stay current with industry trends, emerging technologies, and Google Cloud advancements related to application modernization. Requirements Requirements: Bachelor's degree in Computer Science, Information Technology, or a related field. 5+ years of experience in application development, architecture, or modernization, with a strong focus on Google Cloud Platform. Proven experience with microservices architecture, containerization, and orchestration technologies like Kubernetes. Strong understanding of Google Cloud services related to application development, such as Cloud Run, Cloud Functions, and BigQuery. Experience with programming languages such as Java, Python, or Go in developing cloud-native applications. Solid knowledge of DevOps practices and tools for continuous integration and delivery. Excellent communication skills, with the ability to guide and influence clients and technical teams. Strong problem-solving abilities and a passion for technology and innovation. Preferred Qualifications: Google Cloud certifications (e.g., Google Cloud Professional Cloud Architect or Google Cloud Professional Application Developer) are a plus. Experience with legacy application modernization and migration strategies. Familiarity with Agile methodologies and practices. Previous experience working directly with clients in consulting or customer-facing roles. Benefits Why Join Us: Opportunity to work with a talented and passionate team. Competitive salary and benefits package. Exciting projects and innovative work environment.

Location: Dubai, United Arab Emirates; Riyadh, Saudi Arabia; Cairo, Egypt; Casablanca, Morocco; Delhi, India Müller’s Solutions is looking for an experienced Big Data Engineer to join our innovative team. In this role, you will be responsible for designing and developing scalable big data solutions that enable advanced analytics and insights across the organization. You will work with large data sets and utilize cutting-edge technologies to ensure data processing is efficient and reliable. Key Responsibilities: Design, build, and maintain scalable data pipelines using big data technologies such as Apache Spark, Hadoop, and Kafka. Collaborate with data scientists, analysts, and IT teams to identify data requirements and deliver solutions that meet business needs. Ensure high data quality and integrity by implementing robust data validation and testing processes. Optimize data storage solutions for performance and cost-efficiency across cloud and on-premises environments. Monitor and troubleshoot data processing workflows to ensure timely data delivery. Document data architectures, processes, and workflows for knowledge sharing and compliance. Stay ahead of industry trends and best practices in big data technologies and methodologies. Requirements Requirements: Bachelor's degree in Computer Science, Information Technology, or a related field. 3+ years of experience as a Big Data Engineer or in a similar data engineering role. Proficiency in big data technologies such as Apache Spark, Hadoop, and Apache Kafka. Strong coding skills in programming languages like Java, Scala, or Python. Familiarity with data processing frameworks and ETL tools. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and data storage solutions (e.g., HDFS, S3, BigQuery). Analytical mindset and excellent problem-solving abilities. Strong communication skills to collaborate effectively with technical and non-technical stakeholders. A self-motivated and proactive approach to work, with the ability to manage multiple tasks and deadlines. Preferred Qualifications: Experience with machine learning frameworks and algorithms is a plus. Knowledge of data governance and security best practices. Familiarity with containerization technologies and orchestration tools like Docker and Kubernetes. Benefits 1- Attractive Package. 2- Family Benefits. 3- Visa. 4-Air Tickets.

Location: Riyadh, Saudi Arabia; Cairo, Egypt; Dubai, United Arab Emirates; Casablanca, Morocco; New Delhi, India Müller’s Solutions is seeking a talented Google Cloud Engineer to join our innovative team. In this position, you will focus on designing, implementing, and managing our Google Cloud Platform (GCP) infrastructure and services. You will work to ensure optimal performance, security, and scalability of our applications hosted in the cloud while collaborating with cross-functional teams to drive cloud initiatives and enhance our cloud capabilities. Key Responsibilities: Design, deploy, and manage GCP resources, including Compute Engine, Cloud Storage, and other related services. Implement Infrastructure as Code (IaC) using tools such as Terraform or Google Deployment Manager. Oversee the configuration and management of virtual private cloud (VPC) networking and shared services. Build and maintain CI/CD pipelines to automate deployment and operational processes. Monitor and optimize GCP performance, including resource utilization and cost management. Implement robust security practices across GCP resources, ensuring compliance with industry standards. Integrate GCP services with existing systems and applications through APIs and cloud functions. Collaborate with DevOps teams to streamline workflows and support development processes. Prepare and maintain architecture documentation, operational procedures, and best practices guidelines. Provide technical support to resolve issues and enhance system performance in the GCP environment. Requirements Requirements: Bachelor's degree in Computer Science, Information Technology, or a related field. 3+ years of experience in cloud engineering or architecture, specifically within Google Cloud Platform. Deep understanding of GCP services, including App Engine, Cloud Functions, Cloud Run, and Kubernetes Engine. Proficiency in scripting and programming languages such as Python, Golang, or Java. Experience with containerization and orchestration technologies such as Docker and Kubernetes. Familiarity with networking concepts and security practices in cloud environments. Strong analytical and troubleshooting skills with attention to detail. Effective communication skills for collaboration and presenting technical information clearly. Preferred Qualifications: Google Cloud certifications (e.g., Google Cloud Professional Cloud Architect or Google Cloud Professional DevOps Engineer) are preferred. Experience in implementing CI/CD pipelines using tools like Google Cloud Build, Jenkins, or similar services. Knowledge of monitoring and logging tools such as Stackdriver or Prometheus. Understanding of DevOps methodologies and practices. Benefits 1- Attractive Package. 2- Family Benefits. 3- Visa. 4-Air Tickets.