Location: București, Romania
Workplace: none
EveryMatrix is a leading B2B SaaS provider delivering iGaming software, content and services. We provide casino, sports betting, platform and payments, and affiliate management to 300 customers worldwide.
But that's not all! We're not just about numbers, we're about people. With a team of over 1400 passionate individuals spread across twelve countries in Europe and Asia, we're all united by our love for innovation and teamwork.
Join us on this exciting journey as we continue to redefine the iGaming landscape, one groundbreaking solution at a time.
We are looking for an
AI Lead focused on developer productivity
- someone who can help our engineering teams use AI to build software faster, with higher quality, and with less friction.
About the job:
The primary mission of this role is improving developer productivity through AI.
This is not a traditional machine learning or AI research role. Instead, the focus is on identifying practical ways AI can improve how developers work every day.
You will act as an AI lighthouse for our engineering organization, introducing AI tools, workflows, and prompt engineering practices that measurably improve developer productivity.
The role will initially focus on hands-on experimentation and high-impact initiatives, with the potential to grow into a small AI productivity function over time.
What You'll get to do:
Drive AI-Powered Developer Productivity:
Identify opportunities where AI can improve development workflows
Introduce AI-assisted coding, testing, debugging, and documentation workflows
Reduce repetitive work and improve engineering velocity
Prompt Engineering & AI Workflows:
Develop prompt libraries and playbooks for common engineering tasks
Teach developers how to interact effectively with AI tools
Establish repeatable AI workflows across engineering teams
AI Tooling & Internal Solutions:
Evaluate and introduce AI tools that enhance developer productivity
Prototype internal AI assistants for tasks such as codebase navigation, documentation, and knowledge discovery
Enable AI Adoption:
Run workshops and share best practices
Help teams adopt AI tools and workflows effectively across the organization
Success Metrics
Success in this role will be measured through tangible improvements in developer productivity, such as:
Faster development cycle times
Reduced time spent on repetitive tasks
Increased adoption of AI-assisted workflows
Improved developer experience and onboarding speed
What we’re looking for:
Background in software engineering, developer tooling, platform engineering, or developer productivity
Hands-on experience using AI tools or LLMs to support software development
Strong understanding of modern developer workflows
Experience with prompt engineering and AI-assisted development tools
Ability to influence engineering teams and drive adoption of new practices
Strong English communication skills
The ideal candidate actively experiments with AI tools in their own development workflows and has experience applying AI to improve software engineering productivity.
Here's what we offer:
Start with 22 days of annual leave, with 2 additional days added each year, up to 32 days by your fifth year with us.
Hybrid work schedule is available after the first three months of employment, with up to 50 days of work from home per year.
Benefit from two Free Fridays each year, limited to one per quarter.
3 sick leave days per year, no doctor's note required.
Daily catered lunch or monthly lunch allowance.
Private Medical Subscription.
Access online learning platforms like Udemy for Business and a budget for external training.
Access to an Employee Assistance Program through TELUS Health.
Our office perks include parking, on-site massages, and frequent team-building activities in various locations. And did we mention our amazing office space complete with its own pool and gym?
At EveryMatrix, we're committed to creating a supportive and inclusive workplace where you can thrive both personally and professionally. Come join us and experience the difference!
EveryMatrix is a member of the World Lottery Association (WLA) and European Lotteries Association. In September 2023 it became the first iGaming supplier to receive WLA Safer Gambling Certification. EveryMatrixis proud of its commitment to safer gambling and player protection whilst producing market leading gaming solutions.
Location: United States + International (Remote)
GiveWell’s mission is to help people in need as much as we can by researching the most cost‑effective ways to save and improve lives, sharing our work openly, and directing donations to the programs we believe will do the most good. Our work, which focuses on global health and well-being, is funded by tens of thousands of donors who rely on our research to inform their giving. We’ve grown from directing $1.5 million in 2010 to directing more than $400 million in 2025. We anticipate our total grantmaking is likely to approach or even exceed $1 billion this year, and we are working toward a future that could be several times that scale. Through years of deliberate groundwork, we’ve been growing our research capacity and scope in order to direct substantially more funding to the most impactful opportunities we can find.
Summary
GiveWell's senior research staff are the key decision makers for hundreds of millions of dollars in grantmaking, and we think growing that team is one of the most important things we can do to increase our impact. We're seeking one or more Senior Recruiters to help us do that.
Finding senior research staff is a hard problem for a couple reasons:
The talent pool for GiveWell researchers basically doesn’t exist as a defined group. You can’t go to one type of program, industry, or a few obvious competitors to build a reliable pipeline. The people who succeed here come from a wide range of backgrounds — economics PhDs, policy analysts, management consultants, medical doctors, neuroscientists, primate biologists, etc. — and the roles don't have clean analogues elsewhere. What they share is a set of hard-to-measure cognitive skills and quantitative fluency that doesn’t show up reliably on resumes.
Our process is very competitive. The offer rate for senior research roles is less than one in a thousand.
We want you to figure out where to find strong candidates, improve our assessment process, and do the hands-on work of sourcing, screening, and closing offers. You'll work very closely with our research leadership team. We're most excited about finding someone who helps us make better decisions about finding great talent — and hire them faster.
The role
You'd work closely with our manager, research recruiting and the team to own recruiting for some of our
Researcher
, Program Officer,
Senior Researcher
, and Senior Program Officer roles. A few problems we’ll want you to think about:
After candidates apply, is our assessment process effective?
Our offer rate for senior roles is below 0.1%. That might mean we’re extremely selective. It might also mean we’re losing good candidates somewhere in the funnel. You’ll dig into our data and find answers (How well do early screening scores predict work trial performance? What are the most common rejection reasons, and are they signal or noise? How did past hires actually turn out?). You’ll help us develop good heuristics about what to do in situations when candidates’ signals are mixed.
Where do we even find good candidates?
The ideal GiveWell researcher doesn’t come from one degree program, industry, or competitor. You’ll think about where to look and go after them. And you’ll continually develop new pipelines with creative methods (running structured referral conversations with our researchers, scouring conference guest lists, using sourcing tools creatively, or maybe vibe-coding your own).
How can we use data to make better decisions?
Right now, we don’t have great visibility into which sourcing channels, process changes, or pipeline stages are driving results. You’ll track data, run analyses, and help us make evidence-based decisions about where to put effort. In some cases, you might find out that we don’t have the right data architecture to answer important questions, so you’ll build it.
What are ways our hiring process could be much better?
This is harder to describe because it covers ~every strategic and tactical question we face. We want you to be thinking about all of it. Things like: Are we overweighting particular qualities and losing promising candidates without noticing? How could we run experiments on our hiring processes (randomization, A/B testing, sourcing campaigns) that actually give us useful information?
You’ll also do a fair amount of bread-and-butter recruiting work: screening applications, writing outreach emails, and interviewing candidates. We think that sort of work will keep you close to the data and help you develop strong pattern recognition.
About you
You’re excited about GiveWell's mission and methods.
You think GiveWell is doing something special, not just generically “doing good.” You can explain what makes GiveWell different.
You’re careful and truth-seeking with your beliefs.
For example, if a hiring manager says we need to find “scrappy” people, you’re likely to ask “Why do you believe that?” or “What does scrappy mean?” instead of uncritically agreeing. You’re quick to update your beliefs by picking up new information and asking sharper questions. You can probably tell us about times when you’ve changed your mind about important things.
You're unusually curious and analytical.
When you get invested in a question, you keep trying to find the right answer after many other people would have stopped. You ground your beliefs in data when possible and hedge appropriately when you’re not confident.
You have very high standards.
We have a high competence bar for our research team, and you’ll need to uphold that and own your decisions about applications that do and don’t meet our bar.
You’re entrepreneurial and high agency.
You figure things out. You have a history of solving problems. You’re very resourceful. You’re more likely to make the mistake of moving too fast than moving too slow. You'd rather try something imperfect and learn from it than wait for a perfect plan.
You're direct.
You say what you actually think even when it's uncomfortable.
You’re good at communicating in writing.
You're concise, clear, and you don't hide behind jargon. You probably enjoy an effective memo.
If you think people who know you well would agree that many of the qualities above describe you, we’d like you to apply.
Qualifications
We care much more about the qualities described above than any specific background. That said, some things that might help:
Experience in recruiting, talent operations, research operations, or a generalist role at a mission-driven organization
Comfort with data — spreadsheets and basic quantitative analysis
Strong written communication
Experience working closely with executive-level leadership
Familiarity with global health, development economics, effective altruism, or adjacent fields is a plus but not required
Recruiting experience is welcome but not required. Some of the best people in comparable roles at peer organizations came in without it. And we’ll support you if you want to move on to other things at GiveWell after making progress on our research recruiting. There's always a place here for generalists who are good at solving hard problems, and we have a history of developing high performers into different roles across our org.
Key Questions
What are some of the reasons I might not like this role?
GiveWell has a unique approach to hiring,
and it’s possible that you’ll dislike it. For example, we tend to lean heavily into work trials and finding empirical evidence about the candidates we hire. We are rigorous in how we evaluate candidates, and hold really high standards, which can lead to longer hiring rounds with more steps than what is typical elsewhere. We’re extremely quality focused and would rather hold out for the right candidate than settle on someone who’s “mostly right.”
You’ll need to deeply understand our work and culture to succeed.
We want you to be able to speak with candidates about our work and what makes GiveWell special, and provide useful input to hiring managers when we’re developing assessments and evaluating candidates.
You will be expected to hunt, not just farm.
While we receive a high volume of inbound applicants, we are looking for recruiters who effectively source and attract candidates, not just wait for them to trickle in.
You’ll be collaborating with leaders with high expectations.
We’re a founder-led, performance-driven culture and you’ll be collaborating with our executive team regularly in this role. Strong partnerships will depend on you building trust, leading with curiosity, and reliably delivering results.
You’ll be running hiring rounds from start to finish.
We consider this a full-lifecycle role, which means you should be comfortable with things like scheduling, building out roles in Greenhouse, and day-to-day coordination with candidates. While you might have support from more junior colleagues, you’ll be expected to capably manage your own pipelines.
What does growth look like in this role?
GiveWell’s growing, and you’re going to help shape that. Your growth will be tied directly to the impact created by the people you help hire. Beyond day-to-day recruiting, you’ll have the opportunity to work on more strategic projects, including shaping our overall hiring approach and improving our employer brand. In this role you’ll also have significant exposure to executive leadership and many corners of our business. The talent acquisition team is doubling in 2026, which means there are clear opportunities for mentorship and potentially growing into a team leader.
What does this interview process entail?
We'll use a combination of interviews, written exercises, and work trials to assess the qualities described above. Past versions have looked like:
Simulating a hiring manager intake conversation
Walking through a sourcing strategy for a hard-to-fill role
Reviewing a job description or process and offering a critique
Writing a candidate outreach email or internal communication
We'll share more specific details if we invite you to move forward, but our current plan is:
Screen with a member of the Talent Acquisition team
Career history interview with the Manager, Talent Acquisition
Work trial, which will include live conversations and written work
Values interview with VP, People
Final conversation with Manager, Talent Acquisition
References
Team structure
This role sits on GiveWell's People team and reports to our Manager of Talent Acquisition. Day-to-day, you'd work in close partnership with our Research Program Director, who owns senior research hiring decisions and is part of our Research Leadership Team. You'd collaborate regularly with other members of the People and Research teams on sourcing and candidate evaluation.
We'll likely also want you to attend research team meetings, develop 1:1 relationships with research team members, and potentially join research team-building retreats. We’ll be interested in ~any kind of team embedding that helps you build useful context.
The details
Compensation:
NYC or the San Francisco Bay Area: $149,600
All other U.S. locations: $136,000
Benefits:
Our
benefits
include:
Fully funded health, dental, vision, and life insurance (we cover 100% of premiums within the US for you and any dependents)
Four weeks of paid time off per year
16 weeks of fully paid parental leave
Ergonomic home workstations or coworking space memberships
Automatic contribution equal to 5% of your gross salary into your 403(b) retirement plan (for U.S. based staff)
Location:
You must be based in the United States and can choose to work remotely, hybrid or in person at one of our offices located in Brooklyn, NY or Oakland, CA.
Flexibility:
We support and encourage flexible working, including flexible hours, working remotely, and working from the office when you choose. The majority of our staff, including senior management, work flexibly in one way or another.
Travel:
GiveWell hosts “Visit Weeks” twice a year in our Oakland, California, office and up to two annual departmental retreats. Attending these in-person opportunities will be important to fulfilling the goals of this role. Occasional additional travel may be helpful for conferences or recruiting events.
Visa sponsorship:
We are not currently able to sponsor visas for this role.
Start date:
We’d like a candidate to start as soon as possible after receiving an offer, but we’ll offer flexibility for candidates whose personal or professional circumstances require them to moderately delay their start date.
We don't want to miss candidates who could do great things at GiveWell. If you're on the fence about applying because you meet some but not 100% of our preferred qualifications, we encourage you to apply anyway.
GiveWell is an Equal Employment Opportunity employer by choice. We value our team's diversity in all respects and desire to maintain a work environment free of harassment or discrimination. If you need assistance or an accommodation due to a disability, contact us at careers@givewell.org.
About GiveWell
GiveWell is dedicated to finding and evaluating highly cost-effective global health and development opportunities, and we publish all the work, reasoning, and uncertainties behind our funding decisions. Our
giving funds
enable donors to contribute to the most impactful and cost-effective programs our researchers identify.
GiveWell is one of the world’s largest private funders of global development efforts. Trusted annually by tens of thousands of donors, GiveWell searches for highly cost-effective programs that save or improve lives the most. Since 2007, more than 150,000 donors have given over $2.6 billion through GiveWell to the most promising programs its research has identified, which we estimate will save more than
340,000 lives
.
GiveWell is most well-known for recommending a small number of
Top Charities
, which currently support
seasonal malaria chemoprevention
,
insecticide-treated nets
,
vaccine incentivization
, and
vitamin A supplementation
. However, most of our research capacity and grantmaking is devoted to
cost-effective opportunities outside of those programs
.
GiveWell
grants
have:
Helped governments
navigate changes to the funding landscape
and implement high-impact health programs, like
HIV/syphilis screening and treatment
for pregnant people in Zambia and Cameroon.
Sought to scope and scale promising interventions that don’t have clear existing implementers. We are supporting the
Clinton Health Access Initiative’s Incubator
to identify potentially cost-effective interventions and create programs that we would be excited to support in the future. For example, we
funded a program
to prevent tuberculosis among young children in Uttar Pradesh and Bihar, India, that we co-designed with CHAI through the Incubator program.
Provided funding to ensure that programs that recently faced foreign aid funding cuts could continue, like
healthcare support and malnutrition treatment
in northern Cameroon.
Funded program delivery alongside strengthened monitoring and evaluation, as in our grants to support
treatment of clubfoot
and to
evaluate the program
.
Tested our
assumptions and refined our understanding
through further research and data collection, including
improved estimates of disease burden
and studies on
the effect of water chlorination on mortality
and
the impact of a tree-planting program on farmers’ income
.
We make our reasoning public and transparent so others can challenge it (sometimes we even
pay people to point out our errors
). We go to unusual lengths to check our assumptions and assess our impact, including
funding research
to address our uncertainties and gathering
independent monitoring and evaluation data
about the programs we support. We
change
our minds when the evidence demands it. For more about GiveWell, listen to Ezra Klein’s
recent interview
with GiveWell’s co-founder and CEO Elie Hassenfeld.
Additional information
We don’t want to miss candidates that could do great things at GiveWell. Practically, that means a GiveWell staff member reviews every application carefully, considering the whole picture of your background and potential. If you’re on the fence about applying because you meet some but not 100% of our preferred qualifications (some studies suggest this hesitation is especially common for women and people of color), we encourage you to apply anyway.
GiveWell is an Equal Employment Opportunity employer by choice. At minimum, this means that we comply with all federal, state, and local EEO and employment laws. Beyond the requirements of those laws, we value our team’s diversity in all respects, and we desire to maintain a work environment free of harassment or discrimination—we want our team members to thrive at GiveWell. If you need assistance or an accommodation due to a disability, contact us at careers@givewell.org. We will consider employment for qualified applicants with arrest and conviction records.
By submitting an application, you acknowledge that you have read and consent to GiveWell's
Privacy Statement for Applicants
. By completing an application exercise, you acknowledge and assent to
GiveWell's Work Trial Policy
.
Location: New York City, NY | Seattle, WA; San Francisco, CA
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
The Growth team's job is to keep Anthropic on the exponential by getting more people and companies using and paying for Claude. Growth Data Scientists partner closely with growth product managers, engineers and marketers on experimentation, opportunity sizing, strategic analysis, metrics and personalization.
We're hiring for two focus areas within this posting. Tell us in your application which one fits you best, or if you're excited about both:
Growth generalist:
a strong generalist across marketing and product who drives experimentation, opportunity sizing, marketing measurement and strategic analysis.
Personalization:
building and evaluating the models and experiments that pick the right message, offer or product experience for each user, across lifecycle marketing, onboarding and in-product experiences.
We work in an AI-native way. Much of our analysis, reporting and experiment work is done with Claude as a collaborator, and we expect you to push that further.
Responsibilities
Across both focus areas, you will:
Design and analyze A/B tests and quasi-experiments across activation, retention and monetization, and turn the results into a clear call on what to ship
Define systems of metrics and guardrails that tie short-term wins to long-term value
Present analyses and recommendations to technical and non-technical audiences, leading with the decision and keeping the numbers in support
In the Growth generalist focus, you will also:
Size opportunities and make the case for what Growth should work on next
Measure the incrementality of paid and lifecycle marketing with holdouts, geo experiments and other causal methods, and turn the results into budget and channel recommendations
Tie acquisition and lifecycle programs to long-term value (LTV, CAC and payback)
In the Personalization focus, you will also:
Build and ship targeting and personalization models that decide which users get which message, offer or experience, working closely with growth product managers and engineers
Design the tests that evaluate and iterate on our personalization strategy, including holdouts, bandits and off-policy estimates where A/B tests aren't practical
You may be a good fit if you have
7+ years of experience in data science, with significant time on growth, marketing, lifecycle or personalization problems
Deep expertise in experimental design and causal inference, including A/B testing at scale, holdouts and quasi-experimental methods when randomization isn't available
Experience analyzing growth funnels: acquisition, activation, retention and monetization
Proficiency with Python and SQL
Clear written communication, and a track record of recommendations that changed priorities or what a team built
A bias for action and comfort in ambiguous, fast-moving environments
An interest in Anthropic's mission of building safe and beneficial AI
For the Growth generalist focus, we're also looking for:
Experience measuring marketing: incrementality testing, holdouts or geo experiments, and LTV/CAC for paid or lifecycle programs
For the Personalization focus, we're also looking for:
Hands-on experience building and shipping machine learning models that drive user-facing decisions (targeting, ranking, recommendation or personalization)
Strong candidates may also have
Experience defining activation metrics and lifecycle measurement for a product-led business
Experience with experimentation platforms and meta-analysis across experiment portfolios
Background at consumption-based, multi-product companies serving both consumers and enterprises
Experience using LLMs or coding agents in your own analytical workflow
Experience with marketing mix modeling, geo experiments or synthetic controls
Experience running contextual bandits, uplift models or similar decision systems in production
Experience with lifecycle or CRM personalization (email, push, in-product messaging) and its measurement problems, such as global holdouts and interference between campaigns
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:
$285,000
—
$380,000 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: Hong Kong
Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities.
Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore
Have Fun
and
Is Motion Gaming Back?
, as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations.
Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities.
Important Notice:
⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in
@nex.inc
. If you receive a suspicious email or message, please do not respond and report it immediately to us.
About The Team
We are a passionate team of highly skilled engineers and top-tier designers based in Hong Kong. We develop diverse games for the
Nex Playground
, covering genres like arcade, action, rhythm, puzzle, and educational. Our hit titles include
Starri
,
Bluey
,
Mirrorama
,
Cookie Monster
, and
Tumbobots, Doodle Heads, Elmo Says,
etc.
This is a place to collaborate with passionate developers, unleash your creativity, and deepen your engineering skills. You will participate in 1-3 game projects every year, as a game engineer who works on both engineering and product design.
What You Will Do
Software Engineering:
Build game architecture, UI/UX, gameplay logic, motion control algorithms, and internal tools.
Product Design:
Participate in game design, rapid prototyping, and iterate based on playtesting feedback.
Tech Research:
Explore new technologies and share knowledge with the team to drive collective growth.
Leadership:
(For Senior level) Lead project development, collaborate across disciplines, make key technical decisions, and track progress.
Who We Are Looking For
Growth Mindset:
Humble and eager to learn. Active in side projects (open-source softwares, indie games etc.) is a plus.
Innovation:
Creative and loves exploring fresh ideas.
Audience Focus:
Interested in creating family-friendly games for kids, parents, and seniors. (Being a parent is a plus!)
Passion for Quality:
You care deeply about details and aim for world-class quality.
Engineering Best Practices:
You write clean, maintainable, and robust code.
Tech-Savvy:
Broad interest in technology (App dev, Web, Databases, UI/UX, Animation).
Optimization:
Skilled in optimizing memory, GPU, CPU and shader usage.
Unity Expertise:
Familiarity with Unity. Experience shipping high-quality games is a bonus.
Troubleshooting:
Able to fix compilation and runtime errors effectively.
Prototyping:
Able to build rapid prototypes in Unity.
Tool Creation:
Experience building Unity tools (e.g., level editors, data visualizers).
Communication:
Clear expression of technical details. Experience teaching or mentoring others is a plus.
Leadership:
(For Senior level) Proven ability to lead a team to deliver high-quality results.
We Offer
Competitive compensation package.
Flexible working hours and vacation policy.
Product-driven culture that treasures talents and individual growth.
Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field
Nex is located in
San Jose, California, USA
and
Hong Kong
. Learn more about us at
https://www.nexplayground.com/about
.
We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms!
Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination.
We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.
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: Hong Kong, Hong Kong SAR; Singapore, Singapore
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 Team
We sit on the front lines of OKX's security and compliance mission. Our charter is to build the flexible, scalable, and intelligent AI systems that detect and prevent identity fraud, account takeover, and large-scale organized abuse — in real time and at the scale of a global financial platform. We own the core identity-risk capabilities that decide, millions of times a day, whether an account can be trusted: identity trust signals, behavioral risk modeling, relationship and cluster intelligence, and face, liveness and document verification. We work shoulder-to-shoulder with Product, Risk, Compliance, and Engineering to turn the hardest adversarial problems in crypto into production-grade defenses that protect good users and the open financial system.
About the Role
We are looking for a Senior AI Engineer to design, build, and own key identity-risk and trust models at OKX. You will build models that combine identity verification results, device and geo data, and user behavior into trust and risk signals, and use graph and clustering methods to uncover organized, industrialized fraud. This is an end-to-end, research-to-production role: you will own algorithms in your domain and ship models into real-money, high-risk, large-scale production environments.
You will be a hands-on technical contributor who works closely with Product, Risk, and Compliance, and who helps raise the technical bar of the team. Your domains span:
Identity trust & risk modeling
— fusing verification scores, device, geo, and behavioral data into identity-quality and trust signals.
Cluster & relationship intelligence
— graph and clustering methods to identify account farms, mass registration, and coordinated attacks.
Behavioral risk modeling
— behavioral features and sequence models for account takeover and abnormal-session detection.
Biometric & multimodal signals
— face embeddings, liveness/anti-spoofing, DeepFake and injection defense, document forgery and AIGC detection, used as inputs to identity trust and the risk layer.
AI agents
— applying agentic AI to scale investigation, detection, and operational defense.
What You'll Be Doing
Build identity trust & risk models:
Design and ship coarse-to-fine risk models that fuse face/liveness/document verification scores, device, IP and geo signals, and behavioral data, for high-concurrency real-time decisioning.
Uncover organized
fraud
with graph & clustering:
Build entity graphs across accounts, devices, faces, documents and templates, and apply community detection, clustering, and GNN methods to detect fraud rings and large-scale abuse.
Develop behavioral features & sequence models:
Engineer real-time and offline behavioral features, and build sequence models to detect account takeover, bot/script behavior, and abnormal sessions.
Leverage biometric & multimodal signals:
Turn biometric features (face embeddings, face quality, liveness and anti-spoofing results) and document-forgery and DeepFake signals into reliable identity-trust inputs for risk decisions, including biometric similarity for cross-account linkage and duplicate-identity detection. Work with the face, liveness, and document teams, or build models yourself.
Drive execution & collaboration:
Deliver measurable results while managing ambiguity; partner with backend, product, infrastructure, risk, and compliance teams to integrate models into the production decision chain. Own metric definitions, the balance between false positives and missed fraud, pass rate, monitoring, and drift handling.
Advance applied R&D:
Experiment with graph learning, multimodal fusion, and AI agents; stay current with academic and industry advances and translate them into practical defenses.
Raise the technical bar:
Contribute to design reviews, share applied-AI best practices, and mentor junior engineers.
What We Look For
5+ years
of hands-on experience building risk-control, fraud-detection, or identity-trust models, including significant experience deploying ML systems into production.
Graph & clustering expertise:
Experience applying graph mining, community detection, clustering, or GNN methods to fraud or abuse detection.
Behavioral modeling:
Solid experience with behavioral feature engineering and sequence modeling, including real-time feature pipelines.
Deep AI/ML expertise:
Strong proficiency with PyTorch and/or TensorFlow, and solid experience with production ML systems.
Strong technical & coding skills:
Strong coding ability (e.g., Python, SQL) and the system-level thinking to design end-to-end solutions with high availability and low latency.
Adversarial mindset:
Understanding of how fraudsters adapt, and how to evaluate and iterate defenses against evolving attacks.
Collaboration:
Strong communication skills, with experience working across engineering, product, and risk teams.
Education:
Bachelor's degree or higher in Computer Science, Electrical Engineering, or a related field.
Preferred Qualifications
Experience in identity verification, KYC/KYB, AML, face-payment or payment risk control, or biometric security.
Hands-on experience with face recognition, liveness/anti-spoofing, OCR, document parsing, fake-ID detection, or media forensics.
Experience with graph databases or graph computing (e.g., Neo4j, GraphX) and real-time graph features.
Knowledge of data and AI/ML infrastructure (e.g., Spark, Flink, Kafka, Airflow, Snowflake).
Familiarity with MLOps best practices: monitoring, retraining, and continuous improvement of production models.
Experience with LLMs and AI agents.
Experience working in fast-paced technology companies or security-critical environments.
Research publications, patents, or open-source contributions in relevant AI fields.
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 allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
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: 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: USA
Workplace: remote
Jito builds the Market Layer of Solana, the infrastructure that powers real markets on-chain. We started by building foundational network infrastructure: execution systems, capital markets, and incentive mechanisms that process billions in daily transaction value. Our products (Jito Block Engine, BAM, and JitoSOL) are market leaders and core to how Solana's economy operates.
Now we're moving up the stack. You’ll help build JTX, the trading app designed to capture the next generation of on-chain volume — not simply by adding more features or competing on fees, but by creating the platform serious traders genuinely want to use every day.
This is a product challenge that goes far beyond shipping functionality. It requires deep attention to speed, trust, feel, workflow, and user obsession at every level of the experience. The hardest part isn’t measuring what traders want — it’s building a product so intuitive and powerful that they choose it instinctively.
We're a small, profitable company with product-market fit. That means:
High ownership: Every team member drives significant technical decisions and shapes our product roadmap.
Fast execution: We ship rapidly and iterate based on real-world feedback. Progress, not motion.
Technical excellence: We tackle complex problems with elegant, scalable solutions.
Sustainable growth: Strong financials and proven market fit enable us to focus on long-term impact.
We offer competitive compensation, significant equity, and the opportunity to work on problems that matter.
About the Position
We're building JTX, a next-generation trading app that brings the speed, power, and sophistication of Solana’s market infrastructure directly to traders. This is a true 0-to-1 product effort focused on creating an experience that serious on-chain traders actually want to use — fast, intuitive, high-performance, and deeply connected to the mechanics of the market itself.
You’ll work alongside the team behind some of the leading infrastructure powering billions in daily transaction value on Solana, translating complex systems and market behavior into a seamless trading experience for users. Whether it’s shaping workflows, refining interfaces, improving execution visibility, or helping define the product from the ground up, this role will have a direct hand in building what trading on Solana looks like next.
If you've spent time thinking about how markets actually work on Solana and want to build the product layer on top of that, this is the role.
What You'll Do
Design and build core systems for our new product from scratch
Build low-latency, high-reliability services that interact directly with Solana's transaction and block building pipeline
Own critical infrastructure: order routing, execution, real-time market data, and position management
Implement security at every layer, from transaction signing to user data protection
Work closely with the product and infrastructure teams to ship fast and iterate based on real user feedback
Make significant architectural decisions as an early member of the team
What We're Looking For
5+ years of software engineering experience, with meaningful time spent on distributed systems
Strong systems programming skills. Rust preferred, but deep experience in C/C++, Go, or similar is fine
Track record building reliable, low-latency systems in production
Security-first mindset. You think about attack surfaces, key management, and failure modes before writing code
Familiarity with Solana's runtime, transaction lifecycle, and market microstructure (MEV, block building, execution quality) is a strong plus
Comfortable operating with high autonomy and incomplete information. This is a 0-to-1 product, not a mature codebase
Relevant Background
If you have experience in any of the following, you may be a good fit:
Trading systems or exchange infrastructure
DeFi protocol engineering
Fintech backend systems (payments, custody, execution)
High-frequency or low-latency systems
Security engineering
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: Serbia
Workplace: remote
ABOUT YOU
We’re looking for a Senior Backend Software Engineer who thrives on solving complex technical challenges and building distributed systems that scale. You’re someone who’s comfortable working with Go, embraces microservices architecture, and understands how to build robust, event-driven systems used by millions of users.
You have experience working in containerized environments, designing resilient services, and contributing to system design and infrastructure decisions. You take ownership of your code from design to deployment, and enjoy collaborating with cross-functional teams to deliver high-impact, production-ready solutions.
If you’re passionate about building backend systems that are scalable, observable, and fault-tolerant, and you’re excited by the idea of powering innovative products at the intersection of games, commerce, and data, we’d love to hear from you.
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
Responsibilities
Design, build, and maintain backend services that power core products and platforms.
Develop event-driven systems using Go, Kafka, and Temporal (or similar orchestration tools).
Build scalable microservices in containerized environments using Docker and Kubernetes.
Drive architecture decisions that improve performance, resiliency, and maintainability.
Collaborate with engineers, product managers, designers, and QA to deliver end-to-end solutions.
Own your code in production, monitor, debug, and continuously improve service performance and reliability.
Write automated tests and follow CI/CD best practices to ensure high-quality deployments.
Participate in code reviews, technical discussions, and knowledge sharing across teams.
Qualifications & Skills
5+ years of backend development experience in Go or a similar language.
2+ years of hands-on experience with Kafka or equivalent streaming platforms.
Strong understanding of microservices architecture, distributed systems, and event-based communication.
Experience working with workflow orchestration tools such as Temporal, Cadence, or similar.
Familiarity with cloud infrastructure and container orchestration (e.g., Kubernetes, Docker).
Solid understanding of observability, monitoring, and performance optimization.
Ability to troubleshoot production issues, analyze system behavior, and drive resolution.
Nice to Have
Experience with cloud platforms (e.g., AWS, GCP, or Azure).
Familiarity with ClickHouse, Postgres, or other analytical/OLAP/OLTP databases.
Background in gaming, payments, or commerce systems.
Prior experience working on internal platforms or developer-facing tools
Benefits
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees through a comprehensive Benefits Program. This includes unlimited Flexible Time Off and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required.
By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially.
Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy.
For any inquiries related to data privacy, please contact: careers@xsolla.com
Explore more opportunities at: https://xsolla.com/careers
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: Hong Kong, Hong Kong SAR; Singapore, Singapore
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by Crypto, ultimately contributing to every individual's freedom. OKX began as a crypto exchange giving millions of people access to crypto trading and over time becoming among the largest platforms in the world. In recent years, we have developed one of the most connected Web3 wallets used by millions to access decentralized crypto applications (dApps). OKX is a trusted brand by hundreds of large institutions seeking access to crypto markets on a reliable platform that seamlessly connects with global banking and payments. In the last year, OKX has expanded into new markets including Australia, Brazil, Netherlands, Singapore and Turkey, with plans to launch in the US, Belgium and the UAE.
We are deeply committed to shaping a fairer, more transparent and accessible society through blockchain technology. This is why we publish proof of reserves monthly, and continue to ship new innovative security features.
About the Team
Trading Services Engineering team powers OKX's core trading infrastructure — the systems that keep millions of users trading reliably, 24/7, at global scale. You'll build the backbone that other engineering teams depend on.
What You'll Be Doing
Design and build high-availability, low-latency distributed services that power core trading flows
Own service reliability end-to-end: architecture, performance tuning, monitoring, and incident response
Partner with Product and cross-functional engineering teams to translate trading requirements into scalable system design
Drive technical best practices through code reviews, design reviews, and mentorship of peers
Contribute to Kafka-based messaging architecture and event-driven system design at scale
What You’ll Be Doing
Collaborate with cross-functional teams including Product, Design, and Marketing to drive innovation and execution
Design and implement high availability, high-performance distributed services
Contribute to technology best practices and perform code reviews for peers
What We Look For In You
Bachelor's degree in Science, Technology, Engineering, or Mathematics
Demonstrated experience adopting AI tools in the engineering workflow, able to evaluate and integrate AI capabilities into day-to-day development
Hands-on experience in Microservice/API development using Java/SpringBoot/SpringCloud
Strong knowledge of multi-threading and distributed architecture, and understanding of messaging frameworks such as Kafka
Proficient in relational database design and development
Comfortable working in a cloud-based Linux environment
Proven experience in automated testing and continuous integration
Knowledge of integrating with 3rd party software via APIs/SDKs
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 allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
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: Germany
About Us
Our client is a leading systems integrator and global professional services firm driven to simplify and maximize the value of their clients’ information. Founded in 2011, they provides complementary services for many digital initiatives, including MDM and PIM Strategy and Implementation, Data Governance and Analytics, Content Management, Data Integration, Enterprise Hosting, and Operational Services that help large enterprises in the retail, consumer goods, manufacturing, financial and healthcare sectors simplify and maximize the value of their information. A 100% employee-owned company, it has been on the Inc. 5000, recognized by IDG’s Computerworld as one of the Best Places to Work in IT, as a Wonderful Workplace for Young Professionals and as a “Best Place to Work” by Inc. Magazine and Business First. Their global headquarters is in Dublin, Ohio. The EMEA headquarters and Global Development Center is in Valencia, Spain. Additional offices are located in Germany and India.
Our client is seeking a
Solutions Architect
to join a dynamic consulting team. This remote role is pivotal in designing, architecting, and delivering high-quality data management solutions for our clients.
As a Solutions Architect, you will lead client engagements, guiding the discovery, design, and implementation of scalable solutions. This position requires a blend of technical expertise and strong client-facing skills to ensure solutions align with business needs and deliver strategic value.
They’re looking for someone with hands-on experience in
Master Data Management (MDM)
,
Data Quality
, and
Data Governance
, both from architectural and functional perspectives.
Key Responsibilities:
Advisory
Engage with key stakeholders to gather requirements and understand strategic objectives.
Educate clients on platform capabilities, share best practices, and support decision-making.
Lead discovery and strategy workshops for business and technical audiences.
Align business requirements with technical capabilities and provide actionable recommendations.
Develop solution roadmaps, business benefit analyses, and ROI assessments.
Communicate technical concepts effectively across all levels of the client organization.
Solution Design and Documentation
Design solutions, evaluate tools, and identify gaps between client needs and technology.
Document solution architecture including data integration, cleansing, quality, models, UI/workflows, and APIs.
Development and configuration leadership
Oversee development, configuration, testing, and deployment activities.
Pre-Sales Support
Support sales by assessing client IT landscapes, gathering requirements, and proposing solutions.
Prepare presentations, proofs of concept, and visual materials for business development.
Contribute to proposals and statements of work by defining scope, approach, and effort.
Requirements
Languages: Fluent in German and English.
Must be located in Germany, Switzerland or Netherlands.
5+ years of experience implementing data management solutions or ERP/CRM data modules.
Experience with MDM technologies such as:
Informatica MDM
Stibo STEP
Reltio
SAP MDG
TIBCO/Orchestra
Lead developer or functional consultant on at least 3 enterprise platform implementations.
Proven experience in:
Leading discovery/design workshops and advisory meetings.
Conducting pre-sales presentations.
Drafting proposals and statements of work.
Designing data models, business process flows, and data quality rules.
Leading small consulting teams.
Planning implementation projects, including effort estimation, milestone setting, and release scheduling.
Driving documentation standards, issue tracking, and code quality.
Nice-to-have Skills
Experience with customer and product/material data domains.
Familiarity with data platforms and analytics tools (e.g., Databricks, Snowflake).
Background in software development and solution customization.
Knowledge of data governance frameworks.
Experience with SAP ERP integration/migration (ECC and S/4HANA).
Industry-specific use case expertise.
Benefits
Fully remote position with occasional travel to client sites.
Work with an international team and global enterprise clients.
Annual performance-based bonus.
О ПРОЕКТЕ
Разработка iOS-приложения в сфере финтеха с использованием AI-технологий для тестирования доступности сервисов. Проект находится на стадии Greenfield, что предполагает участие в создании архитектуры с нуля и принятие ключевых технических решений.
ОСНОВНЫЕ ЗАДАЧИ
— Проектирование архитектуры и реализация клиентской логики приложения.
— Интеграция мобильного клиента с backend-сервисами.
— Контроль качества кода через процедуру Code Review.
— Написание Unit-тестов и обеспечение отказоустойчивости системы.
— Участие в формировании технического вектора развития продукта.
ТРЕБОВАНИЯ К КАНДИДАТУ
— Профильное высшее техническое образование.
— Опыт коммерческой разработки под iOS от 2 лет.
— Глубокое владение Swift и понимание особенностей платформы Apple.
— Практический опыт запуска приложений с этапа проектирования (Greenfield).
— Уверенное владение архитектурными паттернами (MVC, MVVM) и принципами Clean Architecture.
УСЛОВИЯ РАБОТЫ
— Удаленный формат работы с гибким графиком.
— Оплата фактически отработанного времени (Time & Materials).
— Прямое влияние на продукт и отсутствие избыточного микроменеджмента.
— Работа в профессиональной среде без токсичной коммуникации.
О РОЛИ
Ищем инженера для развертывания и оптимизации облачной инфраструктуры на AWS. Основной фокус — внедрение принципов GitOps, обеспечение безопасности и создание отказоустойчивых CI/CD конвейеров для международного B2B продукта.
ВАШИ КЛЮЧЕВЫЕ ЗАДАЧИ
— Infrastructure as Code: Развертывание и обслуживание облачной среды AWS с использованием Terraform.
— GitOps: Внедрение методологии GitOps для управления состоянием приложений и инфраструктуры.
— CI/CD: Разработка и поддержка пайплайнов для автоматизированной сборки и тестирования.
— Automation: Автоматизация рутинных процессов развертывания и администрирования.
— Security: Обеспечение и контроль безопасности облачных ресурсов.
ЧТО МЫ ЖДЕМ ОТ ВАС
— Опыт: От 3 лет в ролях DevOps, SRE или Platform Engineer.
— Cloud: Практический опыт работы с сервисами AWS.
— Tools: Уверенное владение Terraform, Kubernetes и Helm.
— OS & Scripting: Глубокие знания Linux и написание скриптов на Bash.
— Networking: Понимание основ TCP/IP, DNS и протоколов HTTP/S.
БУДЕТ ПЛЮСОМ
— Навыки работы с ArgoCD или Flux.
— Опыт с распределенными системами (Kafka, RabbitMQ, Redis Cluster).
— Использование инструментов масштабирования (Karpenter / Cluster Autoscaler).
— Навыки программирования на Python или Go.
ЧТО МЫ ПРЕДЛАГАЕМ
— Работа в сильной международной технической команде.
— Полная свобода в выборе локации (кроме РФ/РБ).
— Прозрачные перспективы карьерного и профессионального роста.
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: Pasig City, Philippines
Primary Responsibilities:
Awareness and understanding of relevant GVP modules.
Perform medical review of non-serious & serious ICSRs with emphasis on seriousness, expectedness, causality & narrative etc. without missing on quality & compliance.
Experience of medical review of ICSRs received from sources such as Spontaneous, Literature, Regulatory Authority, Solicited and Clinical trials.
Experience across multiple therapeutic areas such as Oncology, Respiratory, Immunology, Neuroscience, Rare diseases etc.
Support triage of cases and determine seriousness and relatedness across products as assigned.
Review and verify appropriate selection of adverse events from source documents, assign appropriate MedDRA code, assess labelling and review narrative.
Acquire and maintain current knowledge of product portfolio and safety profiles for products across therapeutic areas.
Involve in process improvement activities such as implementation of quality control process.
Provide medical guidance and expert opinion on the cases to the data entry associates and quality reviewers to help resolve queries.
Identify and resolve case issues, coordinate with client therapeutic teams and within functional team and manage as appropriate.
Maintain PV expertise and understanding of international safety regulations and guidelines.
Responsible for completing the MR activities in the safety database within the stipulated time to comply with service level agreements and regulatory timelines.
Provide timely feedback to case processors on the errors/ discrepancies noted.
Assist in training/mentoring of other case processing/medical review personnel as necessitated.
Adapt to different client case processing conventions and multi-task as per business needs.
Perform ad-hoc tasks as advised by the team lead/manager with quality and compliance as per project requirement.
Participate in organizational activities to meet objectives suitable for the role/area of expertise.
Candidate Profile:
Medical Physician with at least 2 years of experience as Medical Reviewer for ICSRs.
Must possess thorough knowledge of ICH-GCP, relevant GVP module, 21 CFR guidelines and other regulatory requirements.
Training and mentoring skills (GVP concepts & medical aspects such as disease condition, product portfolio etc).
Must have hands-on experience with MS Office applications (Outlook, Excel, Word, Power Point etc).
seniorPasig City, Philippines
seniorUnited States + International (Remote)
New York City, NY | Seattle, WA; San Francisco, CA
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.