Location: Brazil; Peru; Colombia; Argentina; Canada; Mexico; Chile
Workplace: Remote
BUILDING THE FUTURE OF OPEN FINANCE
Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.
THE TEAM
Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.
We’re looking for a Senior Analytics Engineer to join Kraken’s Finance Data Eng & Analytics team within Data Platform. You’ll build trusted financial data products, using automation and AI to reduce manual work and improve the close process.
Working at the intersection of data engineering and accounting, you’ll turn complex financial data into reliable pipelines, models and automated reconciliations. You’ll use AI-assisted tools to accelerate development and investigations, keeping financial outputs tested and traceable.
THE OPPORTUNITY
- You’ll work closely with Data Engineers, Finance and Platform Accounting to improve reporting and decision-making. Clear communication and collaboration will help you agree priorities, explain findings and drive adoption.
- Partner with Finance to understand workflows, identify pain points and translate business needs into practical data and automation solutions.
- Build and maintain automated workflows for data preparation, reconciliations, reporting and follow-ups, with clear controls, monitoring and exception handling.
- Build intuitive dashboards and visualizations that help stakeholders understand performance, investigate issues and make decisions.
- Resolve finance data issues and reconciliation breaks with Finance, Product and Engineering, addressing root causes and communicating progress.
- Build scalable, reliable pipelines to collect, transform and curate data from internal platforms and external systems.
- Support the design and rollout of a trusted finance data lake, with clear definitions, ownership and quality checks.
- Improve data timeliness, enabling near-real-time insights where they add business value.
- Evaluate new technologies, including AI-assisted automation, and prototype solutions to Finance needs that can be reliably supported in production.
WHAT YOU BRING
- 7+ years of experience in data analytics and data management within financial services or a regulated industry, working directly with Finance teams.
- Strong SQL and Python skills, including writing, debugging and maintaining production code.
- Solid experience with Git, merge requests, and code reviews, supported by strong software engineering practices, including testing and documentation.
- Hands-on experience building and operating pipelines and models using dbt, Spark, Airflow or comparable tools.
- Direct experience with finance or accounting data, such as reconciliations, subledgers, cost basis or month-end close, including investigating discrepancies and validating outputs with accounting stakeholders.
- A track record of owning pipelines end to end, making sound technical decisions and improving reliability as requirements and systems evolve.
- Judgment and autonomy to lead complex work, navigate ambiguity and remain accountable for production outcomes.
- Experience supporting recurring financial close activities, combined with a proactive approach to identifying manual processes and replacing them with reliable, sustainable automation.
- Excellent communication skills, with the ability to collaborate across Engineering and Finance, explain complex technical issues, articulate financial implications, and recommend actionable solutions.
NICE TO HAVES
- Experience with cryptocurrency transaction data and how digital-asset activity flows into financial records and reconciliations.
- Experience processing large volumes of financial transactions using distributed frameworks such as Spark or PySpark.
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
OUR COMMITMENT
Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.
As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.
Stay connected
Follow us on Twitter https://twitter.com/krakenfx
Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address
Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/
Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice
УдалённоseniorBrazil; Peru; Colombia; Argentina; Canada; Mexico; Chile; We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance
Задачи:
— Участвовать в архитектурных решениях, проектировании, развитии и эксплуатации PaaS-платформы на базе Kubernetes, включая компоненты ClickHouse и Redis/Valkey.
— Автоматизировать жизненный цикл Data Services: развертывание, масштабирование, миграции, обновления, резервное копирование, репликацию и восстановление.
— Создавать и развивать решения самообслуживания для команд разработки.
— Стандартизировать и развивать платформенные практики: Service Catalog, SLO/SLA, GitOps и IaC.
— Участвовать в устранении инцидентов, анализировать стабильность и производительность платформы.
— В первую очередь развивать платформенные компоненты для ClickHouse и Redis/Valkey, формировать стандартные сценарии их предоставления и эксплуатации в Kubernetes.
Требования:
— Понимание Kubernetes как платформы: архитектуры control plane и data plane, жизненного цикла объектов, примитивов нагрузки Deployments, StatefulSets и DaemonSets, механизмов контроля и reconciliation.
— Уверенное знание Kubernetes storage stack: StorageClass, PVC/PV, особенности stateful-нагрузок, репликация и отказоустойчивость.
— Практический опыт эксплуатации и тюнинга ClickHouse от 3х лет: репликация, шардирование, ClickHouse Keeper, оптимизация запросов и хранения, резервное копирование и восстановление.
— Практический опыт эксплуатации Redis или Valkey: репликация, Sentinel или Cluster, механизмы персистентности, переключение при отказах, оптимизация памяти и задержек.
— Опыт развертывания и эксплуатации stateful-операторов Kubernetes для ClickHouse и Redis/Valkey или участие в разработке и кастомизации собственных операторов.
— Опыт работы с Terraform и понимание принципов IaC.
— Опыт построения CI/CD pipelines для инфраструктурных компонентов.
— Практическое владение GitOps-подходом, например Argo CD или Flux, и умение проектировать процессы развертывания платформенных компонентов.
— Понимание процессов Software Development.
Дополнительно приветствуется:
— Опыт решения эксплуатационных задач, связанных с кластеризацией, высокой доступностью, backup/restore и производительностью других Data Services в Kubernetes.
— Опыт разработки Kubernetes-операторов и контроллеров на Go или Python.
— Опыт работы с multi-tenancy в Kubernetes.
— Знание принципов распределенных систем: CAP, Raft, quorum и consensus.
— Опыт участия в архитектурных обсуждениях и принятии решений при построении PaaS/DBaaS.
— Опыт работы с policy-as-code: OPA, Gatekeeper или Kyverno.
— Экспертиза в observability-стеке: Prometheus, Grafana, VictoriaMetrics и Jaeger, умение строить метрики и алерты для Kubernetes и Data Services.
— Умение находить корневые причины инцидентов, связанных с latency, IO bottlenecks, сетью и потреблением памяти.
— Опыт работы с Helm и проектирования production-чартов.
Условия:
— Полный рабочий день.
— Возможна удалённая работа из любого города России.
— Официальное трудоустройство, полностью белая зарплата.
— Медицинское страхование (ДМС) и возможность онлайн-консультаций с врачами.
— Возможность выступать на конференциях и писать статьи.
— Собственный учебный центр с курсами, тренингами и книгами для повышения квалификации.
— Офисы в Москве, Санкт-Петербурге и Новосибирске для гибридного формата работы.
Location: Warsaw, Mazowieckie, Poland; Limassol, Cyprus; Sofia City, Bulgaria
Workplace: hybrid
Capital.com is building out its internal platform capabilities, and AI is a growing part of that. The role combines architectural ownership with hands-on delivery: you will design, build, deploy and operate the platform, including its infrastructure and DevOps. Reporting to the Director of Product Security, you will set up this function as its first member and make the early technical decisions that the future team will build on.
As Platform Architect, you will own the architecture of the platform that more than 1,000 employees rely on, including their access to AI tools such as Anthropic Claude, OpenAI and future providers.
Responsibilities:
Build the AI platform architecture: the reference design for how LLM capabilities are accessed, governed, monitored, and extended across the organisation.
Own every architectural decision for the AI platform, and document, justify, and stand behind each one.
Evaluate and select new models, tools, and frameworks as the market moves.
Deliver the platform as a service, so teams can move their agents into governed cloud infrastructure.
Govern Anthropic (Claude API, Claude Code, Anthropic Enterprise), OpenAI, and future providers, covering API access controls, credential management, model version policy, cost allocation, and acceptable use standards.
Own technical relationships with Anthropic and OpenAI at the enterprise level.
Build cloud infrastructure for AI workloads on AWS and GCP: Bedrock, SageMaker, Vertex AI, Cloud Functions, and supporting services (S3, Cloud Storage, IAM, and monitoring on both platforms).
Deploy and securely configure n8n, and build automation workflows connecting LLMs to Jira, Confluence, Slack, Google Workspace, HR systems, and proprietary data sources.
Design and secure MCP servers and gateways connecting AI agents to internal services.
Build Python integrations for AI-powered internal tooling: RAG pipelines, agent frameworks, prompt libraries, and internal AI assistants.
Deliver hands-on: you write the code, build the workflows, and deploy the tooling. This isn't an advisory role.
Build data privacy and security architecture for LLM usage in a regulated environment, including prompt classification, output controls, and audit trails aligned with FCA, CySEC, ASIC, and DORA.
Build observability across the full stack: token consumption, cost per team, latency, error rates, and policy violations across cloud platforms and direct API providers.
Build an AI adoption framework of standards, patterns, and onboarding materials that let teams across Technology use AI safely and consistently.
Run internal enablement through workshops, documentation, and direct support for teams moving from ad-hoc AI use to governed, repeatable processes.
Report AI platform status, risks, and roadmap to Technology leadership
Requirements:
8+ years in engineering, with at least 2 years building LLM-based systems in production, not prototypes or POCs.
Comfort operating as the first person in a function: you set your own priorities, unblock yourself, and deliver without a team around you.
Production-grade Python: tooling that others depend on, not scripts you hand off.
Deep, hands-on experience with the Anthropic and/or OpenAI APIs: function calling, tool use, streaming, RAG, prompt management, token optimisation, and model versioning.
Hands-on experience with agentic platforms, MCP servers, and MCP gateways, including designing flows between AI agents and internal services.
n8n: deploying, securely configuring, and maintaining multi-step automation workflows at organisation scale.
Solid AWS for AI workloads: Bedrock, SageMaker, Lambda, S3, IAM, and CloudWatch, deployed and operated in production.
Solid GCP for AI workloads: Vertex AI, Cloud Functions, Cloud Storage, IAM, and Cloud Monitoring.
Hands-on DevOps capability to deploy and run what you build.
Architectural thinking: end-to-end system design, clear trade-off documentation, and the ability to defend decisions to senior stakeholders.
Security engineering for what you build: secrets and credential management, key rotation, and least-privilege IAM across cloud and SaaS.
Data protection and auditability by design: classifying what data can reach which model and provider, controlling and logging prompts and outputs, and building audit trails that hold up to a regulator.
Fluency in the LLM threat surface, including prompt injection, data exfiltration through model outputs, insecure tool and agent use, and model supply-chain risk, with working knowledge of a recognised framework such as the OWASP LLM Top 10 or NIST AI RMF.
Nice to have:
Fintech, brokerage, or financial services background.
DORA or ISO 27001:2022 knowledge as it applies to AI system risk.
Familiarity with the EU AI Act and other AI regulatory requirements, as well as AI-specific risk and governance standards such as NIST AI RMF or ISO/IEC 42001.
LLM orchestration frameworks: LangChain, LlamaIndex, or similar.
Hands-on experience with LLM guardrail and DLP tooling: Bedrock Guardrails, Vertex AI safety filters, or prompt-firewall and PII-redaction tools.
Experience building internal developer platforms or AI centres of excellence.
AWS Solutions Architect Professional, Google Professional ML Engineer, or equivalent.
Grow with Capital.com and help shape how millions of people access the markets.
- Ведение инициатив по сбору данных, трансформации и выпуску отчётности (от постановки до релиза). - Проведение продвинутого анализа данных по бизнес-метрикам, поиск причин отклонений, подготовка рекомендаций.
Твои задачи будут включать: Разрабатывать функциональность клиентских веб-приложении; Интегрироваться с OpenAPI (генерация типов и клиентов, сопровождение контрактов);
Location: Mexico
Company Background
Our client is a global technology company transforming the way brands and agencies make marketing decisions. Its platform enables marketers to plan and activate cross-channel, programmatic media campaigns using real-time research, proprietary audience data, advanced analytics, and more than 150 integrated partners including Facebook, Instagram, Pinterest, Snapchat, and Twitter. The company operates across North America, Europe, the Middle East, Asia, and Australia.
Project Description
We are looking for a Salesforce Administrator to support and enhance the Salesforce environment used by the client's sales organization. This is a high-ownership role that combines independent solution delivery, complex production troubleshooting, and direct support for business users. Working alongside an experienced Senior Salesforce Administrator, the specialist will have significant autonomy and shared responsibility for supporting the sales organization. The team is also introducing AI-assisted workflows to streamline support operations.
Technologies
Salesforce
SOQL, Apex
Salesforce Data Loader, Data Import Wizard
Claude Code
Jira, Jira Service Management
What You'll Do
Own end-to-end delivery of Salesforce solutions, from requirements gathering and solution design to configuration, implementation, and release;
Configure and maintain Salesforce Flows, custom objects, fields, record types, page layouts, Dynamic Forms, and other declarative features;
Investigate and troubleshoot production issues, analyze Flows, Apex logs, and SOQL queries, resolve configuration-related problems, and collaborate with developers on complex fixes;
Handle Salesforce support requests, including user access issues, data corrections, and business process troubleshooting, while reviewing AI-assisted tickets and preparing development tasks;
Collaborate with Sales, Customer Success, and Finance stakeholders to clarify requirements, manage priorities, and participate in sprint planning and release decisions;
Manage Salesforce user access, permissions, and licenses, and perform bulk data operations, including imports, updates, merges, and deduplication;
Build and maintain Salesforce reports, dashboards, and internal process documentation;
Job Requirements
4+ years of hands-on Salesforce administration experience, including end-to-end ownership of Salesforce solutions and improvements;
Strong knowledge of Salesforce Flows (record-triggered and screen), data models, and security configuration, including profiles, permission sets, permission set groups, roles, sharing rules, and field-level security;
Ability to read and understand SOQL and Apex, troubleshoot Flows, triggers, and batch jobs, and identify root causes of production issues;
Hands-on experience with Salesforce Data Loader or Data Import Wizard and bulk data operations, including data validation and quality checks;
Strong communication and stakeholder management skills, including experience working directly with senior business stakeholders and managing expectations;
Ability to independently manage multiple initiatives, balance competing priorities, and handle a high volume of support requests;
Strong customer-service mindset and willingness to provide direct user support through Slack and ticketing systems;
Nice To Have
Salesforce Certified Administrator (ADM-201), Salesforce Advanced Administrator or Platform App Builder certifications;
Experience with structured release management processes, including sandboxes, deployments, and branch-based workflows;
Experience with Jira or Jira Service Management for support and development workflows;
Experience supporting sales, advertising, or media organizations, including opportunity, quote, line-item, or CPQ-related data models;
Experience mentoring junior administrators and establishing team standards;
Experience with product ownership and requirements documentation;
What Do We Offer
The global benefits package includes:
Technical and non-technical training for professional and personal growth;
Internal conferences and meetups to learn from industry experts;
Support and mentorship from an experienced employee to help you professional grow and development;
Health insurance;
Sports activities to promote a healthy lifestyle;
Flexible work options, including remote and hybrid opportunities;
Referral program for bringing in new talent;
Work anniversary program and additional vacation days.
Location: Baku
Workplace: onsite
ABOUT YOU
You will play a pivotal role in delivering high-impact software solutions across our platform. You bring curiosity, initiative, and a passion for clean, scalable systems. You collaborate effectively with teammates and cross-functional partners to design, build, and improve our technical stack. You’re hands-on, deeply engaged in the code, and consistently seeking better ways to solve complex engineering challenges.
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 scalable, responsive interfaces in React and TypeScript across multiple Business Accounts.
Build and own shared remote modules (Module Federation) that plug into several host apps, keeping them versioned, backward compatible and safe to deploy independently.
Build UI with our xui design system, and help improve it by contributing components and patterns.
Turn product designs and user stories into high-quality, accessible UI components.
Integrate with REST and GraphQL APIs, and implement clear state management.
Handle authentication and session flows between host apps and modules, including passing Publisher Account tokens securely.
Optimize performance, loading and caching across browsers and devices.
Refactor legacy code (for example, older React and react-router versions) toward current best practices.
Write clean, testable code and keep test coverage healthy.
Use AI tools (Claude Code, Cursor, etc.) every day to design, build, test and refactor code faster without lowering quality.
Add AI-assisted code review on top of manual review, check AI-generated code carefully, and help the team set good practices for AI-driven development.
Lead frontend design reviews and contribute to architecture decisions (ADRs).
Work closely with product, design, backend and partner teams such as Publisher Account and Site Builder to deliver features end to end.
Contribute to planning, estimation and delivery tracking.
Mentor engineers and give constructive code reviews.
Requirements
6+ years of professional software development experience.
4+ years of hands-on experience with React and TypeScript.
Deep knowledge of modern JavaScript (ES6+), HTML5, CSS3 and Web APIs.
Experience with design systems and CSS-in-JS (for example styled-components), and responsive layouts.
Experience with REST and GraphQL APIs; familiarity with WebSockets and real-time data.
Hands-on experience using AI coding assistants in daily work, and the judgment to review, test and correct what they produce.
Comfortable with Git, CI/CD pipelines (GitLab preferred) and agile workflows.
Experience with testing tools such as Jest, React Testing Library, Cypress or Playwright.
Good written and spoken English, with the ability to explain technical trade-offs to non-technical stakeholders
Nice to have
Experience with microfrontends (Module Federation) or monorepos.
Experience building or maintaining a shared component library or design system.
Experience with SSO, OAuth2 or JWT-based authentication across apps.
Experience working with a headless CMS.
Experience with Next.js, SSR/SSG or hybrid rendering.
Experience with B2B dashboards, admin tools or self-service portals.
Experience setting up AI workflows for a team, such as agents, custom skills or prompts, automated MR review, or AI-assisted testing.
A strong eye for UX polish, animation and interaction design.
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
Go: опыт от 3 лет, глубокое знание языка, конкурентности, runtime, GC, модели памяти и Generics. Профилирование (pprof, trace), оптимизация и разработка высоконагруженных, распределённых и отказоустойчивых систем.
Location: Baku
Workplace: onsite
ABOUT YOU
You will play a pivotal role in delivering high-impact software solutions across our platform. You bring curiosity, initiative, and a passion for clean, scalable systems. You collaborate effectively with teammates and cross-functional partners to design, build, and improve our technical stack. You’re hands-on, deeply engaged in the code, and consistently seeking better ways to solve complex engineering challenges.
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
Build and ship reliable, secure and scalable backend services in Go.
Own features from design to deployment, with attention to maintainability, security and performance.
Design and build APIs and SDKs used by Business Account frontends, microfrontends and other Xsolla teams.
Build and maintain identity flows such as user creation, login, MFA, SSO and token validation across multiple accounts and clients.
Design multi-tenant services with clear data isolation and per-account configuration.
Take part in architecture discussions and write or review ADRs.
Refactor legacy code to improve structure and efficiency without breaking existing features.
Own production readiness with Datadog: dashboards, monitors and alerts, APM and tracing, log analysis, incident response and root cause analysis.
Write clear, testable, well-documented code, with a focus on quality and automation.
Use AI tools (Claude Code, Cursor, etc.) every day to design, build, test and refactor code faster without lowering quality.
Add AI-assisted code review on top of manual review, check AI-generated code carefully, and help the team set good practices for AI-driven development.
Work with product, frontend, design and platform teams to agree on goals and deliver end to end.
Contribute to technical scoping and estimation.
Reduce technical debt and keep improving the developer experience.
Mentor engineers and give constructive code reviews.
Requirements
6+ years of professional software engineering experience.
2+ years of hands-on Go experience in production.
Strong experience with PostgreSQL and/or MySQL, including schema design and query performance.
Experience designing and building REST APIs (gRPC is a plus).
Hands-on experience with Docker, Kubernetes and Helm.
Experience with message brokers such as RabbitMQ or Kafka.
Comfortable with Git and CI/CD pipelines (GitLab preferred).
Solid understanding of authentication and authorization basics: OAuth2, JWT, sessions and tokens.
Hands-on experience with observability tools, ideally Datadog: metrics, logs, APM/traces and alerting.
Hands-on experience using AI coding assistants in daily work, and the judgment to review, test and correct what they produce.
Basic understanding of cloud platforms (Google Cloud Platform preferred).
Working knowledge of frontend technologies, especially React.
Good written and spoken English, with the ability to explain technical trade-offs to non-technical stakeholders.
Nice to have
Experience building scalable, secure login or identity platforms (Login-as-a-Service).
Deep knowledge of OAuth2, OIDC, SAML, MFA, and session and token management.
Experience with social login, SSO and federated identity.
Experience designing multi-tenant identity systems with isolation and configurability.
Experience delivering developer-friendly APIs, SDKs and integration docs.
Experience with OpenTelemetry, SLOs and error budgets.
Experience with B2B platforms, partner portals or marketplaces.
Experience setting up AI workflows for a team, such as agents, custom skills or prompts, automated MR review, or AI-assisted testing.
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
Если совсем ничего неизвестно — — 🕹 Список обязанностей: Быстро создавать и запускать новые мобильные приложения и MVP; Разрабатывать frontend на React + TypeScript и mobile на React Native;
