О компании Nexters: международная компания по разработке игр, входящая в холдинг GDEV, с офисами на Кипре, в Армении и Казахстане, а также возможностью удалённой работы.
Обязанности:
— Проектирование, создание и поддержка масштабируемых конвейеров данных (batch и streaming)
— Поддержка и рефакторинг существующих решений
— Основная зона ответственности — Bronze и Silver слои платформы данных
— Разработка и поддержка моделей data lake / data warehouse
— Оптимизация производительности Spark-джобов
— Разработка и поддержка dbt моделей и контрактов данных
— Внедрение и поддержка мониторинга, наблюдаемости и проверок качества данных
— Работа с Kafka-стриминговыми конвейерами
— Взаимодействие с командами аналитики, маркетинга, платформы и бэкенда
Требования:
— Уверенные навыки SQL и Python
— Опыт создания ETL/ELT конвейеров в продакшене
— Практический опыт работы со Spark/PySpark, особенно в стриминговых сценариях
— Понимание распределённых систем обработки и хранения данных
— Опыт работы с архитектурами data lake / data warehouse
— Практический опыт с Delta таблицами, Parquet и S3
— Опыт работы с оркестраторами, такими как Airflow или аналогичными
— Опыт работы с Kafka и стриминговыми конвейерами
— Опыт поддержки и улучшения конвейеров данных в продакшене
— Опыт с практиками наблюдаемости, мониторинга и качества данных
Условия:
— Медицинская программа (включая стоматологию) или компенсация, доступная в любом месте работы
— Медицинская программа для членов семьи при работе в офисах на Кипре, в Армении и Казахстане
— Оплачиваемый отпуск и больничные
— Возможность работать в офисах или удалённо
— Спортивные активности в офисах (йога, футбол, волейбол)
— Пакет поддержки релокации при переезде в официальные локации
— Курсы английского языка онлайн, уроки греческого и армянского для сотрудников в соответствующих офисах
— Участие в гейм-джемах, хакатонах, конференциях и митапах
— Поддержка социальных инициатив и участие в благотворительных проектах
Формат работы: в офисах компании на Кипре, в Армении и Казахстане или удалённо.
УдалённоАрмения, Кипр; DATA ENGINEER | RELOCATION OR REMOTE | NEXTERS | #remote or #relocation to #cyprus #kz #armenia #fulltime #itjob #data #engineer https://teletype.in/@courierus/X_NwDv4snFa; RELOCATION OR REMOTE | NEXTERS About Nexters Nexters is an international game development company that strives to introduce the joy of core gaming experiences to casual players; Relocation supportA relocation package is available for you if you decide to join us in one of our official locations
Location: Boston, Massachusetts, United States
We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime.
Job Overview
The Senior Manager, Consumer Insights will serve as a core partner and consumer advocate for Hasbro’s Global Play and Commercial teams, focusing on the Action Brands, Fashion, and Preschool portfolios, with responsibility for brand and franchise strategies, product innovation, and go-to-market planning. This individual brings wide-ranging and well-developed skills in quantitative and qualitative primary research, secondary data review, project oversight, and a consultative approach. You will take initiative in shaping research priorities, addressing issues, proposing recommendations, and promoting the use of insights with stakeholders.
We want someone enthusiastic about Hasbro’s brands and curious about what drives consumer behavior. Joining the Consumer Insights team, you will have the opportunity to represent the consumer’s perspective. You will boldly apply data and insights to support teams in enhancing business decisions that expand our brands and introduce winning products.
Location and Work Arrangement
This role is based at our Boston, MA, United States office and follows a hybrid schedule designed to support in-person collaboration. Employees are expected to work onsite on Tuesdays, Wednesdays, and Thursdays, with the flexibility to work remotely or onsite on Mondays and Fridays.
What You'll Do
Act as the consumer advocate within the Action Brands, Fashion, and Preschool portfolios, guiding brand strategy, product development, forecasting, entertainment planning, and marketing decisions.
Working with the Director, prioritize business questions and requests across audience, category, brand, entertainment, product, creative, and commercial needs.
Proactively develop and deliver insights agendas aligned to strategic brand goals, development gates, commercial milestones, and go-to-market planning.
Develop and coordinate many custom and standardized research programs, such as foundational consumer learning, audience segmentation, brand tracking, product and package testing, messaging and campaign testing, and purchase journey research. Present findings through research reports and offer strategic advice to brand and creation teams.
Provide strategic storytelling and presentations that scale up to senior levels, distilling complex consumer findings into clear, compelling narratives that drive confident business decisions.
Champion the adoption of AI-powered research and insights tools across the insights team. Actively experiment with new approaches, build proficiency in AI-assisted synthesis, analysis, and storytelling. Help the team adopt new AI-enabled ways of working.
Model standards for quality and actionability in research plans and deliverables. Provide guidance and mentorship to junior team members. This role does not have direct people management responsibilities.
Confidently advocate for the consumer perspective and decisions based on insights. Share a clear, evidence-based point of view with collaborators, even when it challenges conventional thinking or the current direction.
What You'll Bring
At least 10 years of relevant experience, or equivalent demonstrated experience, in consumer insights or market research, ideally including several years working with children's or fan products, entertainment, and/or gaming.
Extensive knowledge in quantitative and qualitative insights techniques, such as segmentation, product testing, volumetrics, creative asset evaluation, and purchase journeys.
Outstanding skill in crafting engaging stories using data and insights, General Manager (GM)-level presentations.
Experience translating advanced analytics into insights – e.g., choice modelling, segmentation, driver analysis, price elasticity – with support from vendor partners and Analytics, Insights and Measurements (AIM) peers.
Strong problem diagnosis and definition skills.
Excellent prioritization and project oversight capabilities.
High-level analytical and critical thinking skills.
Excellent interpersonal, written, and verbal communication skills.
Proficiency with Microsoft Office 365 tools and navigating Power BI dashboards.
Passion for the toys & games category.
BA/BS or equivalent experience required, preferably in social sciences, marketing/market research, or a related field.
What Sets You Apart
An MBA, other advanced degree, or additional education in consumer insights or analytics; equivalent experience will also be considered.
Who We Are
We’re a team of creators, storytellers, and innovators united under the Hasbro family and home to beloved brands, AAA digital games studios and immersive experiences that spark imagination across generations. Together, we’re committed to a culture rooted in creativity, excellence, curiosity, and inclusion, and where every employee is empowered to think boldly, act with integrity, and spark joy for all.
Hasbro
About the Company – Hasbro
Wizards of the Coast
Who We Are – Wizards of the Coast
Equal Opportunity
Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status.
Accommodations
If you have a disability and need reasonable accommodation during the hiring process, please inform your recruiter anytime throughout the process.
Notice Regarding Hasbro’s use of AI in the Recruitment Process
We use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.
How it works: Talent Matching compares information from your resume and application responses with job-related criteria established and weighted by Hasbro’s recruiting and hiring teams. Depending on the role, these criteria may include relevant skills, work experience, prior job titles, and industry experience. The tool then assigns a match category to help organize applications for review.
Human oversight: Talent Matching supports — but does not replace — human review. It does not automatically advance or reject candidates or make employment decisions. Hasbro’s recruiters and hiring managers review applications and remain responsible for all hiring decisions.
Greenhouse has published the results of an independent bias audit of Talent Matching.
View the Greenhouse Talent Matching audit results
.
The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package.
Pay Range
$134,200
—
$201,300 USD
Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include:
Health & Wellness
Time Off to Recharge
Financial Well-being
Life & Family Support
Volunteer and Community Initiatives
Learning & Development
Exclusive Perks
Please review our
Applicant Privacy Notice
to learn how we collect, use, and protect your personal information in connection with the application process.
Location: Sliema, Malta
Who We Are
At OKX, we believe the future will be reshaped by technology. Founded in 2017, we are revolutionising world systems through our cutting-edge digital asset exchange, Web3 portal and blockchain ecosystems. We reshape the financial ecosystem by offering some of the most diverse and sophisticated products, solutions, and trading tools on the market. Trusted by more than 50 million users in over 180 countries globally, OKX empowers every individual to explore the world of Web3. With our extensive range of products and services, and unwavering commitment to innovation, OKX envisions a world of financial access backed by blockchain and the power of decentralized finance.
We are innovative in the way we think, work, and in the products we create. We are also socially responsible by actively participating and encouraging employees to take part in various public welfare activities. With more than 3,000 employees around the world, we believe embracing diversity and inclusion will spark the creation of long-term value for the industry. Come Build the Future with Us now!
About the Team
The Operations function at OKX is the engine powering our local business growth and execution. We are a team of product-minded, commercially driven problem solvers who bridge the gap between strategy, customer experience, and compliance. We build scalable workflows, drive market expansion, and champion operational excellence - ensuring we scale the business efficiently and responsibly.
What You'll be Doing:
Cross-Functional Project Leadership:
Lead strategic, high-impact initiatives across Product, Growth, VIP/Affiliates, Compliance, and Customer Support.
Product & Tech Operations Bridge:
Partner closely with Product Managers and Engineering to align on product rollouts, conduct operational testing, influence roadmap prioritization, and optimize end-to-end customer journeys.
Commercial Alignment & Growth Support:
Collaborate with commercial and growth teams to scale operational workflows around VIPs and business development initiatives.
Process Optimization & Scaling:
Continuously analyze operational metrics to uncover inefficiencies, automate manual workflows, and elevate service delivery.
Market Insights & Innovation:
Research competitor benchmarks and industry best practices to recommend proactive, product-led operational innovations.
Local Market & User Insights:
Serve as an internal SME on local user behavior, market trends, and operational requirements to refine product-market fit.
What We Look For in You:
Hands-on Execution & Ownership:
Proven track record of planning, driving, and delivering complex cross-functional projects end-to-end in a fast-paced environment.
Data-Driven & Commercially Minded:
Strong analytical capabilities. Able to interpret product/commercial data, spot operational trends, and translate them into actionable business decisions.
Product & Customer Experience Intuition:
Familiarity with the product lifecycle, product operations, and testing frameworks, with a sharp instinct for intuitive, high-quality user experiences.
Cross-Functional Influence & Self-Starter Drive:
Exceptional ability to build relationships across engineering, commercial, and operational teams while rapidly picking up domain-specific context.
Problem Solver & Critical Thinker:
Comfortable questioning the status quo, navigating ambiguity, and operating independently within a dispersed global team.
Tech-Forward & AI-Fluent:
Enthusiastic about leveraging emerging technologies and AI tools to eliminate friction, automate workflows, and boost team productivity.
Communication & Stakeholder Management:
Excellent written and verbal communication skills in English, capable of presenting insights clearly to leadership and key partners.
Nice to Haves:
Prior experience in a crypto exchange, FinTech or other start up in a regulated industry.
Prior experience working in a multinational or matrix environment.
Interest in crypto or trading.
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: Bengaluru, Karnataka, India
Why Cast AI?
Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.
Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.
Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.
Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.
Join us as we build the future of autonomous infrastructure.
About the role
Our customer-obsessed Customer Success team serves as the critical bridge between our customers and Cast AI, representing both the voice of the customer to Cast AI and the voice of Cast AI to the customer. The CS Team lives by the core values of being Smart, Humble, and Hungry. We value technical excellence, a collaborative mindset, and a strong drive to succeed. Cast AI is looking for a
Technical Support Engineer
with a robust Kubernetes troubleshooting and administration background. If you thrive in a fast-paced environment, enjoy the challenge of solving complex technical problems, and have a passion for cloud technologies, you could be the perfect fit for our team.
Requirements
:
3+ years of hands-on experience in Kubernetes administration and troubleshooting, including cluster management, networking, and storage.
Strong Linux/Unix fundamentals and experience working in distributed, containerized environments.
Experience with at least one major public cloud provider (AWS, Azure, GCP).
Experience supporting customers in a SaaS or cloud-native environment.
Exceptional problem-solving abilities and a passion for diagnosing and resolving complex technical issues.
Strong written and verbal communication skills to interact with technical and non-technical stakeholders.
A collaborative mindset, with the ability to drive cross-functional projects and align teams.
Excellent English to support global customers; other languages are an advantage.
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Nice to Have:
CKA or CKAD Certification
Terraform Certification
Cloud Architect Certification
Responsibilities:
Serve as the primary Cast AI subject matter expert, delivering deep technical guidance and authoritative support to customers.
Collaborate closely with customers to troubleshoot and resolve complex technical issues, ensuring clear communication and effective problem-solving throughout the process.
Own customer issues from intake through resolution, driving timely outcomes that minimize downtime and improve system performance and reliability using Cast AI.
Document and share knowledge by contributing to internal knowledge bases, creating technical guides, and outlining best practices to support both customers and internal teams.
Provide mentorship and support to junior team members, fostering skill development and contributing to a strong, knowledgeable team environment.
Participate in an on-call rotation, delivering critical after-hours assistance to maintain high levels of customer satisfaction and trust.
What’s in it for you?
Competitive salary.
Enjoy a flexible, remote-first global environment.
Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
Equity options.
Premium health insurance.
Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
Spend 10% of your work time on personal projects or self-improvement.
Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
Annual hackathon to spark new ideas and strengthen team bonds.
Team-building budget and company events to connect with your colleagues.
Equipment budget to ensure you have everything you need.
Extra days off to help maintain a healthy work-life balance.
What’s in it for you:
Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
Enjoy a flexible, hybrid work environment.
Equity options.
Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
Team-building budget and company events to connect with your colleagues.
Equipment budget to ensure you have everything you need.
Hiring process
Screening call with Recruiter
Hiring Manager interview
1-2 additional interviews based on the role
Culture Check interview with an executive
*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI
does not
provide any form of visa sponsorship/work permit.
#LI-Remote
Location: Remote - APAC
Who We Are:
Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure
for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more.
Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts.
Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.
Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator.
Our Team Members:
We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!
We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.
Your Role:
As a Sr. Sales Engineer at Alpaca, you will be the go-to expert for all products and services offered to our partners. Your role is to leverage your technical skills, excellent communication, and creative problem-solving abilities to support the sales process for Alpaca's growing suite of products and services. You will focus on expanding our base of enterprise partners within your assigned territory.
Things you get to do:
Serve as the product and technical subject matter expert, capable of thoroughly understanding and articulating all aspects of the Alpaca platform to diverse audiences and stakeholders
Serve as a regional market-specific expert in regulations, compliance, and jurisdictional requirements
Comfortable working with senior leaders and C-level executives
Collaborate closely with the Sales and Customer Success teams, providing essential technical advisory and product expertise throughout the client lifecycle.
Present compelling product and technical use cases to prospective clients, while building trust and confidence in Alpaca's technical capabilities.
Translate complex business and technical requirements into clear, simple solutions
Create sales support materials and documentation for new features and products
Own technical sales engagement end-to-end: discovery calls, solution validation, RFPs, and questionnaires that win deals
Lead demo strategy and execution, creating technical narratives that convert prospects into customers
Travel as needed to support sales activities and customer engagements
Stay updated on internal product development timelines and work closely with the product team to test and roll out new features to partners
Who you are (must-haves):
Excited by the prospect of working in a startup environment, the ideal candidate is a self-starter who will take the lead in defining new processes where appropriate
5+ years in a Sales Engineering, Solutions Engineering, Technical consulting, Technical Product Management or Partner Engineering client-facing role, with experience working at API or SaaS-first companies.
Strong technical background, including hands-on experience working with APIs, WebSockets, Postman, Grafana and JSON
Experience working with FIX eXchange protocol
Financial services / fintech / brokerage exposure: trading lifecycle, settlements, regulatory awareness
Superior verbal and written communication skills in English are essential for driving clarity on goals, setting expectations, and effectively collecting feedback from clients
You must be able to translate complex technical concepts into simple, understandable terms
Proven ability to manage multiple assignments simultaneously, work independently and drive projects to completion with minimum guidance and close attention to detail
Professional or business-level fluency in spoken and written Korean
You’ll be a rockstar 🤩, if you have:
Experience working at a Broker-Dealer or FinTech company
Closing
Enterprise
deals alongside AEs
Securities Industry Essentials (SIE) and or Series 7
Familiarity with Metabase
Experience or familiarity with Bloomberg tools
Experience working with Coast (demo software)
Excited to learn more about the securities industry
Experience working with OpenAPI, ReadMe and documentation
How We Take Care of You:
Competitive Salary & Stock Options
Health Benefits
New Hire Home-Office Setup: One-time USD $500
Monthly Stipend: USD $150 per month via a Brex Card
Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.
Recruitment Privacy Policy
Location: Tbilisi; Yerevan; Belgrade; Novi Sad, Vojvodina; Poland; Portugal
Workplace: remote
About Provectus
Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide.
Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture.
Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements.
Where this role sits:
You will work in a small, senior pod alongside an FDX; our delivery arc is Sprint → Enable → Realize:
Forward Deployed Executive (FDX) owns the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs — revenue growth, cost reduction, risk reduction.
Forward Deployed Engineer (FDE) embeds with a client to change how that client operates. You own the method; nobody hands you a ticket. You map the client workflow as it actually happens, identify the business problem underneath it, build a working AI solution, present to the client in the language of outcomes, and transfer it. Provectus maintains industry Blueprints — working systems that have already shipped for a client in the same industry — so you begin from running code and tuning it to this client's specific book, regulators, and operating posture. You will be measured on whether the Business Unit's number moved, not on hours or scope delivered.
Requirements:
Mindset
Proactive and self-directed; identify problems before they're handed to you
Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job
B2+ English, comfortable collaborating across distributed, multicultural teams
Client Engagement
You are willing to spend time understanding and doing someone else’s job on the client's side before you write a line of code
Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO, presenting outcomes to them
You can produce a scoped, phased delivery plan with clear deliverables, dependencies, and risks — and estimate what it will cost to build and to run
Technical depth
7+ years building and running production systems.
Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes
Designed and shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks
Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure
Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks.
Experience building and optimizing RAG systems in production
Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack.
Experience in making and defending architectural trade-off decisions
Hands-on AWS production depth: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus
Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines
You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release
Model and agent monitoring, drift detection
Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs
Hands-on production experience with the Claude ecosystem — Claude Code, CLAUDE.md, hooks, skills files. Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus
MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus
What you’ll do:
Take the seat
Sit with the client and the Forward Deployed Executive at the start of an engagement. Learn the function from inside, not from a requirements doc, and redesign the function from first principles.
Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow.
Build
Design and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Implement and optimize RAG systems for production use cases
Build the evaluation harness before you build the feature. Define what working means, instrument it, and let the evals drive the design.
Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer.
Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD, automated testing, monitoring, and maintainable after we leave. Hand the system over to the client.
Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from.
Lead architecture reviews, produce technical design documents, and contribute to standards. Mentor engineers and share knowledge across the team.
Own the outcome.
Work in a pair with a FDX who carries the Business Unit’s KPIs. Your work is measured against the same number.
Own the technical direction of technical proposals and scoping. Drive adoption. Change management is part of the engineering job here.
Be credible with the customer’s engineers and their executives.
Shape what we commit to before we commit to it.
Nice to Have:
Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution
Experience in one of the industries: financial services, insurance, healthcare
Consulting, professional services, or other embedded customer-facing delivery
A2A: you can explain agent-to-agent interoperability
AWS and Claude Code Certifications
CI/CD pipeline experience (GitHub Actions, GitLab CI)
Experience in an additional language (Go, TypeScript, or Rust)
Experience with Apache Spark, Apache Airflow, Kafkа
What We Offer:
The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment
A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers
A growing AI delivery practice where you help build the tooling and frameworks, not just use them
Remote-friendly culture
Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance
Career growth; we actively develop our engineers
Access to the latest AI tools and premium subscriptions
Long-term B2B collaboration
Private medical insurance or a budget for your medical needs
Paid sick leave, vacation, and public holidays
Equipment and all the tech you need for comfortable, productive work
How we hire:
Intro conversation. The role, your background and aspirations, tech questions.
Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant
HR Interview. Soft skills and expectations
HM interview. Tech questions; a live engineering session is also possible
Location: Remote
Lithic is the modern card issuing and processing platform empowering ambitious financial companies to build the future of payments.
Our infrastructure powers card programs for 100+ innovative clients, from fintechs reimagining credit and digital banking to platforms transforming disbursements and spend management. Companies like Mercury, Flex, and Novo rely on Lithic's developer-friendly APIs, direct network connections, and flawless reconciliation to launch and scale card programs in weeks, not years.
We're building a future where access to better financial products materially improves people's lives, free from the constraints of 30-year-old mainframes and legacy processors. We're proud to be backed by world-class investors who share that vision, including Bessemer Venture Partners, Index Ventures, Spark Capital, Stripes, and Mastercard, along with many others.
We're a team of 170+ across 26 states and 7 countries, headquartered in New York City.
Lithic is the modern card issuing and processing platform empowering ambitious financial companies to build the future of payments.
Our infrastructure powers card programs for 100+ innovative clients, from fintechs reimagining credit and digital banking to platforms transforming disbursements and spend management. Companies like Mercury, Flex, and Novo rely on Lithic's developer-friendly APIs, direct network connections, and flawless reconciliation to launch and scale card programs in weeks, not years.
We're building a future where access to better financial products materially improves people's lives, free from the constraints of 30-year-old mainframes and legacy processors. We're proud to be backed by world-class investors who share that vision, including Bessemer Venture Partners, Index Ventures, Spark Capital, Stripes, and Mastercard, along with many others.
We're a team of 170+ across 26 states and 7 countries, headquartered in New York City.
Our Risk & Compliance team is hiring a Senior AML Analyst who will improve the effectiveness, resilience, and scalability of our financial monitoring program. You will own Lithic's AML and financial crime monitoring program at the SOP and monitoring-engine level, and you will be the person who turns our agentic monitoring and investigation tooling into realized, defensible capacity. This is an ownership role, not purely a queue-based execution role: you’ll certainly handle escalations, exceptions, and perform population sampling, but the goal is routine, documented volume is increasingly absorbed by automation, and you own the design, tuning, and exception handling that sit around it.
What You’ll Do:
Own and continuously improve the AML and financial crime transaction monitoring SOPs, keeping them aligned to current regulatory requirements, evolving typologies, and operational reality
Own the feedback loop into Lithic's monitoring engine: partner with your Analytics, Engineering, and Product peers to evaluate alert logic, assess rule and scenario effectiveness, and tune thresholds to reduce false positives while preserving coverage
Lead the testing, deployment, and tuning of agentic transaction monitoring and investigation solutions, including documenting the investigative context the tooling needs to produce repeatable, examiner-ready output
Investigate complex suspicious activity independently and prepare high-quality SARs and UARs; own escalations and the judgment-heavy cases automation cannot close unattended
Supervise and quality-check alert review and investigative output, including AI-assisted output, so decisions hold up to bank partner and regulatory scrutiny
Synthesize monitoring performance data, operational trends, and emerging financial crime risks into actionable program insights, and define and influence AML KPIs and KRIs
Lead governance preparation for relevant oversight forums and support bank partner and exam-readiness deliverables
Train and mentor analysts on investigations, money laundering typologies, and the agentic tooling, so program knowledge scales beyond any one person
What you'll bring:
3+ years of AML/BSA and transaction monitoring experience in fintech, payments, or a bank-partnered environment
Demonstrated ownership of end-to-end AML programs or work streams with limited guidance, including authoring and maintaining SOPs and preparing governance materials
Deep knowledge of money laundering typologies and emerging financial crime trends, with the ability to investigate complex activity and prepare high-quality SARs and UARs independently
Hands-on experience evaluating alert logic and assessing or tuning transaction monitoring rules and scenarios for effectiveness
Comfort working with AI-assisted or agentic tooling, including how to test, tune, document, and defend AI-assisted decisions to bank partners and regulators
Self-starter who can create structure where none exists and knows when to escalate and collaborate
Strong written and verbal communication
Solid grasp of the BSA/AML regulatory framework (USA PATRIOT Act, OFAC and sanctions, SAR requirements)
Nice to Have:
CAMS or CFE (preferred, or willing to obtain)
Experience deploying or tuning AI, automation, or agentic tooling in a compliance or investigations context
Experience with OSINT tooling and SQL or Snowflake for investigative data retrieval
Card issuing, payments, or fintech experience with exposure to sponsor bank relationships
Background in high-risk verticals (MRBs, crypto-adjacent businesses, or similar)
The annual US salary range for this role is $65,000 - $120,000 plus equity. This salary range may be inclusive of several career levels at Lithic and will be narrowed during the interview process based on the candidate’s experience and qualifications.
This is a remote position. However, candidates must be located in the United States. We do not offer visa sponsorship or assistance.
Benefits for Full-Time US Employees:
Unlimited PTO
12-weeks fully paid parental leave
4-Week Fully Paid Sabbatical (earned at your 5-year anniversary)
Work From Anywhere: work from anywhere in the world 4-weeks each year
3% cashback on card purchases with your complimentary
Privacy.com
employee account
Health, vision, and dental insurance; HSA Contribution Match
401(k) match
Voluntary Life Insurance and STD/LTD
NYC-based employees work from our SoHo office three days a week. Tuesdays and Thursdays are our core days, and you'll choose a third day that works for your schedule and team needs.
In-office employees receive:
Commuter benefit
Catered lunch every Tuesday and Thursday
Location: Global - Remote
About the role
As a Data Scientist at Sporty, you will build and productionize data-driven ML systems that enhance personalization, search, and recommendation experiences, with a clear focus on measurable business impact. The role combines advanced analytics, Python-based modelling, and cloud engineering to solve real-world problems at scale in a fast-paced product environment.
Our Stack
SQL
Python
AWS/Azure/GCP
What you'll be doing
Utilize advanced algorithms and data mining techniques to build personalized recommendation systems, optimizing product and service recommendations to enhance user experience and improve business conversion rates.
Develop and productionize ML/AI systems across multiple domains — including search ranking, recommendation, and content intelligence — that directly impact user growth and business outcomes.
What you'll bring
Hands-on experience applying statistical and ML models to real business problems, with measurable impact on revenue or key business outcomes
Advanced understanding of Python and the quantitative analysis ecosystem in Python
Strong foundation in probability theory, statistics, machine learning, and linear algebra
2+ years of experience as a data scientist, quantitative researcher, quantitative analyst, or another relevant role
Knowledge of SQL and experience with relational databases
Proficient with AI tools and agents as part of daily development workflow; this role regularly leverages AI-assisted development to accelerate delivery
Degree in Applied Mathematics, Computer Science, Financial Engineering, Technology, or Engineering
Project and stakeholder management experience is preferred
Even better if you have
Apache Spark
Experience working in cloud platforms (AWS, GCP, Microsoft Azure)
Relevant knowledge or experience in the gaming industry
Solid computer science background
What’s in it for you
Sporty is a remote first company in pursuit of sustainability
A competitive salary + individual performance based bonuses every quarter
28 days paid annual leave
Our core working hours are 10am-3pm in your local time zone with flexibility outside of this
Referral bonuses & flash bonuses
Top of the line equipment
Annual company retreats to provide great internal networking opportunities
Interview Process
Remote video screening with our Talent Acquisition Team
Online home assignment
Remote video interview with Team Members (3x45 Mins)
If you're interested, we encourage you to apply! Every application is reviewed by a member of our team (AI is not used in our recruitment process), and we aim to respond within 48 hours.
*We are committed to maintaining a fair, secure and authentic recruitment process. Applications submitted using false, misleading or fraudulent information, including impersonated or fake profiles, will not be considered. Where reasonably necessary to protect the integrity and security of our recruitment process, we may verify a candidate’s identity and/or the accuracy of information provided during the recruitment process. Any such checks will be carried out in a proportionate and appropriate manner and in accordance with applicable data protection and employment laws.
Компания Binance — ведущая глобальная блокчейн-экосистема и крупнейшая криптовалютная биржа по объему торгов и числу зарегистрированных пользователей.
Задачи:
— Проектировать, разрабатывать и поддерживать корпоративные платформы инфраструктуры больших данных, аналогичные AWS EMR.
— Улучшать распределённые вычислительные фреймворки, включая Hadoop, Spark, YARN и HDFS.
— Внедрять облачную трансформацию, интегрируя движки больших данных с Kubernetes.
— Оптимизировать производительность кластеров, использование ресурсов и пропускную способность рабочих нагрузок.
— Повышать стабильность, надёжность и наблюдаемость платформы для крупномасштабных производственных сред.
— Устранять сложные узкие места производительности в распределённых системах.
Требования:
— Степень бакалавра в области компьютерных наук, программной инженерии или смежной области.
— Опыт работы с распределёнными системами и разработкой инфраструктуры больших данных.
— Практический опыт с Hadoop, Spark, HDFS, YARN, Hive, Flink или Presto.
— Опыт создания или эксплуатации платформ, подобных AWS EMR, Databricks Runtime или Google Dataproc.
— Опыт работы с Kubernetes и облачным развертыванием распределённых вычислительных движков.
— Владение Java, Scala, Go или C++.
Будет плюсом:
— Опыт участия в сообществах Apache Hadoop, Spark или Flink в качестве контрибьютора или коммиттера.
— Опыт эксплуатации крупномасштабных кластеров с более чем 1000 узлами.
— Опыт проектирования контейнеризированных вычислительных платформ.
— Знание современных средств наблюдаемости и устранения неполадок в распределённых системах.
Условия:
— Удалённая работа.
— Сотрудничество с талантливыми специалистами в плоской организационной структуре.
— Возможности карьерного роста и постоянного обучения в ориентированной на результат среде.
— Конкурентная заработная плата и социальные гарантии.
Location: New York
Workplace: OnSite
Role
You will be joining Taptap Send’s product team, with responsibility for the full-stack of product from product strategy (i.e., identify primary ideas for product improvement) to design (i.e., creating initial mocks; writing technical specs) and implementation (i.e., cross-functional project management and execution).
You’ll take product features from conception to implementation. Your role will be central to translating our customer and internal needs into a product roadmap, and then working with engineering to execute against it.
An ideal candidate will have experience owning a domain end to end, will obsess over customers/UX, and have experience working with AI/analytics tools. They will have a deep understanding of product management for consumer products, experience with immigrant communities, a passion for social change, and an ability to lead multiple stakeholders to execute projects.
Responsibilities
- Own a product domain and roadmap end to end
- Responsible for product lifecycle of domain area, from discovery to delivery of features, including adoption and GTM
- Coordinate across engineering, operations, compliance, markets, etc. to execute projects efficiently
- Implement systems for iterative development with regular user feedback
Requirements
- At least 6 years’ experience working in product management, strategy, or operations for a tech company
- Experience in fintech strongly preferred
- Experience with immigrant communities and empathy for our customers
- Strong analytical skills
- Outstanding project management skills, including end-to-end problem ownership
- UX design instincts
- Experience with Figma or other prototyping tools a plus
- Background or degree in a technical field a plus
Also you are
- Outgoing - you love speaking to people and enjoy building meaningful relationships
- Execution Oriented - we have an ‘impact first’ philosophy and a lot to get done. You should be able to take an idea to implementation
- Mission Oriented - you are passionate about working for a net positive organization / tech for good
- Organized - you have a system for how you approach your work that can keep you on track in a scrappy startup environment
- Driven - you thrive in a fast-paced, target-oriented company
About Us
We’re building the world’s leading cross-border fintech for emerging markets - empowering families, fuelling local economies, and changing how millions access financial services.
Since our launch in 2019, we have transformed how money moves across borders with our operations spanning 6 out of 7 continents and covering both the busiest and most underserved (remittance) corridors. We tapped into a massive shift - from banks to phones - bringing digital finance to places where traditional systems never reached. The next stage of growth will fuel a network of services and products especially designed to make money more accessible to diaspora communities including local cards, and additional savings and payments features.
We’re growing fast, backed by world-class investors, and scaling a product that blends real world impact with cutting edge fintech innovation.
Here’s a little more:
- Founded by Harvard grads and 3-time founders who previously built Segovia (acquired) and GiveDirectly (>$300M revenue, fastest-growing NGO in the world)
- Backed by top investors including Spark Capital, Canaan, Reid Hoffman, Breyer Capital, Unbound, Wamda, and more
- Built by global top performers from Bain, Google, McKinsey, Uber, Checkout, Bolt, and beyond - we move fast, stay humble, and care deeply about our mission
- Truly global team - 250+ people, 50+ nationalities, 50+ languages
- Guided by our values - ownership, impact, humility, and heart - in deed, not just word
TAPTAP VALUES https://www.taptapsend.com/our-values
Impact first
Team next
Accept reality
Propose solutions
Win with grit
Be proactively candid, with yourself and others
Love the particular
Own it
Create positive energy
Maybe, even have fun
Taptap Send is an equal opportunity employer dedicated to building an inclusive and diverse workforce. All employment decisions are decided on the basis of qualifications, experience and business need. We strongly encourage applications who are members of underrepresented communities to apply.
If you require reasonable adjustments to be made during the recruitment process, please do not hesitate to let us know. Any information you provide us in this respect will only be used to accommodate your requirements.
Note: we recognize imposter syndrome is real - any candidate that does not perfectly fit every characteristic of this role is still strongly encouraged to apply.
Location: Zimbabwe
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups and established businesses in SaaS, MarTech, FinTech, and EdTech.
Unlike traditional outsourcing, you’ll be placed directly with a client as a core member of their team—giving you real ownership, career progression, and long-term stability.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We are looking for a high-energy, resilient Sales Development Representative to serve as the engine of our growth. In this role, you will be the first point of contact for potential customers, responsible for sparking interest and building the pipeline that fuels the company’s success. This is an ideal position for a motivated professional who thrives in a fast-paced environment and is eager to master the fundamentals of the sales cycle while making an immediate impact.
Key Responsibilities
Execute high-volume outbound cold calling campaigns to identify and qualify new business opportunities.
Manage a consistent daily cadence of outreach across phone and email to exceed activity benchmarks.
Effectively communicate the value proposition to prospects and overcome common objections.
Research target accounts and key stakeholders to ensure outreach is relevant and impactful.
Schedule discovery calls and meetings for Account Executives to ensure a seamless handoff.
Document all activity meticulously within the CRM to maintain data integrity and track progress.
Requirements
Proven experience or a strong desire to work in a high-volume outbound sales environment.
Exceptional verbal and written communication skills with a confident phone presence.
A "hunter" mentality with the resilience to handle rejection and remain focused on goals.
Strong organizational skills and the ability to manage time effectively in a production-oriented role.
Competitive spirit and a drive to consistently hit and exceed established KPIs.
Previous experience using CRM tools (such as Salesforce or HubSpot).
Prior experience in a high-call-volume role or telemarketing environment.
Knowledge of sales prospecting tools and email automation software.
Benefits
🌎 Fully remote role with flexible working hours
🚀 Work with high-growth international companies
📈 Clear career progression to Account Executive and beyond
🎯 Performance-based bonuses and incentives
🤝 Direct hire with global clients (not outsourced)
🧠 Ongoing training, mentorship, and sales development support
Задачи:
- Управление AI-продуктами от идеи до вывода в прод.
- Участие в проработке AI-стратегии кластера (Roadmap, KPI, приоритизация инициатив).
- Проработка архитектуры AI-решений.
- Координация команд: Data Scientists, ML-инженеры, Data Engineers.
- Решение проблем масштабирования моделей и качества данных.
- Запуск PoC и MVP AI-продуктов.
- Оптимизация инференса моделей (скорость, стоимость, точность).
- Дообучение open-source моделей под задачи бизнеса.
Требования:
- Образование: высшее.
- Опыт работы: от 5 лет на релевантной позиции.
- Опыт в предметной области AI.
- Опыт коммерческой разработки, развитый технический кругозор.
- Навыки презентации для C-level с ценностными тезисами.
- Agile/Scrum для ML-проектов.
- Языки: Python, SQL.
- ML/DS: scikit-learn, TensorFlow/PyTorch, Hugging Face, LangChain.
- MLOps: MLflow, Kubeflow, Airflow, Docker/Kubernetes.
- Данные: Spark, DWH (BigQuery, Snowflake), векторные БД (FAISS, Pinecone).
- Опыт управления коллективом: обязателен.
Требования к личным качествам:
- Лидерство, выстраивание коммуникаций, синхронизация работ, критическое мышление, предпринимательский mindset, адаптивность.
Знание стека:
- LangChain, Kafka, K8s, LLM-модели, NLP-модели — embedding, NER, classification.
Обязанности:
• участвовать в процессе производства ПО: от анализа задачи и подготовки требований до внедрения на промышленном стенде
• осуществлять поддержку (3-я линия) разработанных продуктов
• реализовывать детальную архитектуру внедряемых сервисов.
Требования:
• опыт коммерческой разработки на python от 3-х лет
• базовые навыки работы в ОС Linux (терминал, ssh)
• понимание принципов REST API
• понимание принципа работы протоколов HTTP, HTTPS
• хорошее знание SQL (PostgreSQL или Greenplum).
• опыт создания AI-агентов и использования их в работе
• опыт работы с брокерами очередей (Kafka)
• опыт оптимизации производительности SQL запросов
• знание экосистемы Hadoop (Hive, Spark, Oozie, HDFS, YARN и т.д.).
Условия:
• гибридный формат работы (3 дня в офисе)
• годовой бонус и ежегодный пересмотр
• расширенный ДМС с первого дня + стоматологию и льготное страхование для семьи
• корпоративный университет Сбера, внутреннюю образовательную платформу, участие в IT-конференциях
• офис на Таганской с зонами отдыха и спортзалом
• льготную ипотеку в Сбере, корпоративную пенсионную программу, подписку СберПрайм, скидки от партнеров и сервисов группы компаний.
Location: 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, 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:
OKX data team is responsible for the whole data scope of OKG, from techincal selection, architecture design, data ingestion, data storage, ETL, data visualization to business intelligence and data science. We are data engineers, data analysts and data scientists. The team has end-to-end ownership of most of the data at OKx throughout the whole data lifecycle including data ingestion, data ETL, data warehouse and data services. As a data engineer of the team, you will work with the team to leverage data technologies to empower evidence-based decision-making and improve the quality of the company's products and services.
Responsibilities:
Build and maintain the data warehouse for the risk control business domain, and develop the thematic metrics/indicator system to support data needs across all risk control business lines.
Design and implement the technical architecture for offline and real-time data application services, and optimize the performance of data pipelines.
Develop reporting data and interface (API) data for the data mart.
Requirements:
Bachelor’s degree or higher from an accredited university in
Computer Science
or a related field, with
4+ years of industry experience
.
Experience with
Real-time Data Engineering,
having used technologies like
Flink
Solid understanding of data warehouse modeling theory, with hands-on experience in data warehouse model design, in-depth knowledge of data warehouse architecture, and a track record of supporting real-world business scenarios.
Familiarity with a range of big data architectures, especially Alibaba Cloud DataWorks/MaxCompute and AWS, as well as Spark, Databricks, and StarRocks/Doris (a plus).
Strong communicator with business acumen and the ability to perform under pressure; able to quickly grasp business context and effectively bridge technical and business needs.
Experience building data middle-platform capabilities such as user profiling, risk control systems, and metrics systems is preferred.
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
.
Задачи:
— Проектировать, строить и оптимизировать масштабируемые AWS-решения для данных с использованием Databricks, включая архитектуры Lakehouse с Delta Lake и Unity Catalog.
— Разрабатывать пакетную и потоковую обработку данных с использованием Apache Spark, Flink, Kafka, Amazon MSK и Kinesis.
— Руководить интеграцией и миграцией данных (сопоставление источников и целей, загрузка, трансформация и обеспечение качества данных).
— Вести архитектуру платформы данных, моделирование данных и лучшие инженерные практики для масштабируемости, надежности и долгосрочной поддержки.
— Создавать и управлять автоматизированными рабочими процессами и конвейерами данных с использованием Databricks Workflows, Apache Airflow, MWAA, Snowflake и Amazon Redshift.
— Наставлять команды инженеров данных и переводить бизнес-требования в технические решения, дорожные карты и планы поставки.
Требования:
— Подтвержденный опыт работы Lead Data Engineer с масштабируемыми платформами и конвейерами данных.
— Практические навыки пакетной и потоковой обработки с Apache Spark, Flink, Kafka, Amazon MSK или Kinesis.
— Сильный опыт работы с AWS и Databricks, включая Delta Lake, Unity Catalog, Workflows и Jobs.
— Продвинутый уровень SQL и владение Python (предпочтительно), Scala или Java.
— Опыт оркестрации рабочих процессов данных с Databricks Workflows, Apache Airflow или MWAA.
— Английский язык на уровне не ниже Upper-intermediate.
Условия:
— Удаленная или офисная модель работы.
— Работа в инновационной среде на протяжении всего жизненного цикла решения.
— Возможность изучать новые технологии и делиться знаниями в инженерном сообществе.
— Руководящая роль с наставничеством и поддержкой команды.
Процесс найма:
— Подать заявку через форму.
— Связь с рекрутером и этапы интервью.
Задачи:
— Разработка и оптимизация высокопроизводительных backend-систем для data-driven приложений.
— Работа с современными технологиями потоковой обработки, распределёнными вычислительными фреймворками и облачными архитектурами для создания масштабируемых, надёжных и высокодоступных решений.
Требования:
— Проживание вне России и Беларуси.
— Наличие степени бакалавра (требуется фото диплома при подаче заявки).
— Опыт работы с Java и разработкой API и сервисов.
— Опыт профессиональной работы со Scala не менее 2 лет.
— Опыт работы с Akka, особенно для потоковой передачи данных или распределённых систем, не менее 2 лет.
— Опыт работы с потоковыми/данными фреймворками, такими как Spark Streaming, Flink, Kafka, Kinesis или аналогичными.
— Умение создавать и использовать RESTful API.
— Опыт работы с AWS (serverless, compute, storage, data services) и знакомство с DevOps практиками (используется Azure DevOps).
— Владение английским языком на уровне B2+.
Условия:
— Удалённая работа.
— Контракт B2B на срок минимум 9 месяцев.
— Полный рабочий день, 8 часов в день.
— Ежедневное пересечение рабочего времени с 8:00 до 12:00 по Чикаго.
— Отпуск без оплаты.
Задачи:
— активно участвовать в разработке микросервисов на Python;
— участвовать в проработке технических требований, архитектуры и подходов к решению;
— участвовать в управлении бэклогом команды, проводить приоритезацию и контролировать выполнение задач;
— заниматься people-менеджментом: участвовать в найме, развитии сотрудников и т.д.
Требования:
— опыт работы в роли MLOps Engineer от 4-х лет;
— опыт работы в роли Team Lead/ проведение code review – не менее 1 года;
— опыт коммерческой backend-разработки на Python от 3-х лет;
— понимание способов интеграций IT-систем (шины, очереди, API);
— практический опыт с Kubernetes, Redis;
— опыт работы с реляционными базами данных, уверенные знания SQL;
— понимание принципов CI/CD;
— понимание микросервисной архитектуры;
— опыт работы с ИИ моделями и их внедрением.
Будет плюсом:
— знания в области BigData (Hadoop, Spark), OpenSearch;
— знание планировщиков процессов (AirFlow);
— опыт работы в банковской сфере;
— понимание гибких методологий разработки (Agile);
— знание основных инструментов управления разработкой (например: Jira, Confluence);
— знания и опыт в Machine learning;
— опыт управления IT проектами, включая разработку и внедрение ML моделей в продакшн;
— опыт разработки ML моделей в роли data scientist, data engineer, ML Ops.
Условия:
— Хорошая зарплата: уровень обсуждается индивидуально, есть доплаты за менторство и профактивности.
— Развитие: долгосрочные проекты от российских заказчиков, возможность менять направления, прозрачная система Performance Review.
— Комфорт и свобода: релокейт между офисами, выбор формата работы (удалённо, офис, гибрид), адаптация для новых сотрудников.
— Обучение: доступ к корпоративному порталу, митапам, конференциям (и как гость, и как спикер).
— Социальный пакет: ДМС со стоматологией, частичная компенсация спорта, бесплатный английский, оплачиваемый отпуск и больничные.
— Корпоративная жизнь: тимбилдинги, детские праздники, внутренние мероприятия.
Location: London; New York
The Role
We’re looking for a hands-on Staff Analytics Engineer to own the delivery of first-class data systems at Taptap Send. This is a senior technical IC role: you’ll design, build and maintain the dbt modelling layer that all teams — from Finance to Product to Markets — rely on to make decisions.
You’ll set the technical bar for Analytics Engineering at TTS. That means owning our thorniest modelling problems, ensuring that trusted, self-serve data is default across the company. If you live and breathe dbt and want to apply that craft to real problems in a rapidly scaling cross-border payments context then this is the role for you.
You’ll report to the Head of Data, partnering closely with our COO, Engineering, Finance, Treasury, and Markets teams, and help shape how the broader data discipline scales. The role is full-time – we’re open to individuals in one of the following hubs: London, Dubai or NYC.
Key responsibilities
- Own dbt transformation. Design and build the mission-critical models, and the standards, tests and docs that keep them reliable and performant at scale
- Pre-empt problems. Produce the dashboards, alerts and tools that surface the issues before they become incidents
- Ensure self-serve data. Build the knowledge layer, docs and quality checks, so others can drive their own analysis
- Use AI effectively. Use AI tools and agents across the modelling lifecycle — from accelerating dbt development to improving data quality — and help the rest of the team do the same
- Tackle meaty domain problems e.g. via high-priority special data projects
- Champion Data. Peer-review code, share best practice at weekly meetups, mentor the team, and raise the bar for data best practice at the company
Required
- 7+ years in a data role (Analytics Eng and/or Data Science)
- Strong SQL skills, and comfortable working with large, complex datasets in dbt
- Strong communication and stakeholder management skills
- Hands-on experience with cloud tech (e.g. AWS, GCP or Azure) and a modern cloud warehouse (e.g. Redshift, Snowflake, BigQuery)
- Fluency with modern BI tools (e.g. Looker, Mode etc.) and what it takes to enable real self-serve
- Experience with Python and/or R
- Detail-oriented and pragmatic, with a ‘no task too small’ attitude
- Right to work in one of advertised hubs (UK/US/UAE)
Nice-to-have
- Experience in a high-pace context – e.g. startup or scale-up
- Experience leading cross-functional projects with Finance, Engineering or Product
About Us
We’re building the world’s leading cross-border fintech for emerging markets - empowering families, fuelling local economies, and changing how millions access financial services.
Since our launch in 2019, we have transformed how money moves across borders with our operations spanning 6 out of 7 continents and covering both the busiest and most underserved (remittance) corridors. We tapped into a massive shift - from banks to phones - bringing digital finance to places where traditional systems never reached. The next stage of growth will fuel a network of services and products especially designed to make money more accessible to diaspora communities including local cards, and additional savings and payments features.
We’re growing fast, backed by world-class investors, and scaling a product that blends real world impact with cutting edge fintech innovation.
Here’s a little more:
- Founded by Harvard grads and 3-time founders who previously built Segovia (acquired) and GiveDirectly (>$300M revenue, fastest-growing NGO in the world)
- Backed by top investors including Spark Capital, Canaan, Reid Hoffman, Breyer Capital, Unbound, Wamda, and more
- Built by global top performers from Bain, Google, McKinsey, Uber, Checkout, Bolt, and beyond - we move fast, stay humble, and care deeply about our mission
- Truly global team - 250+ people, 50+ nationalities, 50+ languages
- Guided by our values - ownership, impact, humility, and heart - in deed, not just word
TAPTAP VALUES https://www.taptapsend.com/our-values
Impact first
Team next
Accept reality
Propose solutions
Win with grit
Be proactively candid, with yourself and others
Love the particular
Own it
Create positive energy
Maybe, even have fun
Taptap Send is an equal opportunity employer dedicated to building an inclusive and diverse workforce. All employment decisions are decided on the basis of qualifications, experience and business need. We strongly encourage applications who are members of underrepresented communities to apply.
If you require reasonable adjustments to be made during the recruitment process, please do not hesitate to let us know. Any information you provide us in this respect will only be used to accommodate your requirements.
Note: we recognize imposter syndrome is real - any candidate that does not perfectly fit every characteristic of this role is still strongly encouraged to apply.
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seniorSliema, Malta
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