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Location: United States - Remote Please note that we are unable to consider applications from candidates based in France, Italy, or Germany for this role. Money is moving onto the internet, and the shift has a name: Open Money. This is money that is open, portable, agentic, and owned by you. MetaMask spent the last ten years building it; with 100M+ downloads, users in ~190 countries, and trillions in cumulative transaction volume, it's the most trusted self-custodial financial platform on the internet. Now we're building the operating system for your money: one place to hold, move, grow, and use anything you own.  Join a remote-first, global team rebuilding how money works: a problem that touches everyone, every day. What you'll do As a Senior Software Engineer, you will: Architect, build, and maintain features related to digital assets across MetaMask Clients, including ERC-20 tokens, NFTs, Token Lists, and Token Detail Pages Develop and support core wallet controllers that manage asset state and data throughout the MetaMask ecosystem Expand asset support to include emerging standards such as Real World Assets (RWAs) Help create intuitive, efficient, and secure Web3 interactions that delight users Collaborate with product managers, designers, and other engineers to deliver high-quality features Participate in code reviews and help maintain high code quality standards Requirements: 3+ years working with mobile-based technologies 3+ years building websites and/or applications Experience with React and React Native Strong knowledge of modern Javascript (ES6/TypeScript/etc.) Familiarity with blockchain fundamentals and Web3 integration Working knowledge of cross platform/browser compatibility Experience working with APIs and middleware services Experience working in an agile development team Experience developing applications with clean code practices, testing, and adherence to coding standards Understanding of web-based security considerations Bonus Points: Experience with token standards (ERC-20, ERC-721, ERC-1155, RWAs) and token list management Experience with DeFi protocols, token swaps, or fiat on/off ramps Knowledge of financial products in the digital space Interest in blockchain technologies and Web3 Basic understanding of cryptography principles Experience working in distributed teams Previous experience working in Web3 Familiarity with the Web3 wallet ecosystem Experience with performance optimization Other skills to demonstrate: Good verbal and written communication in English Teamwork, flexibility, and organization Eagerness to learn and grow your technical skills Ability to balance technical quality with business needs and user experience Don't meet all the requirements? Don't sweat it. We’re passionate about building a diverse team of humans and as such, if you think you've got what it takes for our chaotic-but-fun, remote-friendly, start-up environment—apply anyway, detailing your relevant transferable skills in your cover letter. While we have a pretty good idea of what we need, we're ready for you to challenge our thinking on who needs to be in this role. The salary range listed for this role applies to US-based candidates only. Compensation for candidates based outside the US (including Canada, EMEA, and LATAM) will be determined based on location, experience, and skills during the interview process, and may differ from the listed US range. US pay range (not including bonus, equity or other benefits) $139,000 — $210,000 USD In the rapidly evolving Web3 space, we believe that everyone is a builder. This expansive paradigm requires a range of backgrounds, talents, skills, and experiences to influence and shape the future. At MetaMask, this diversity fuels our ability to shift control and redefine the realm of possibility. We are committed to ensuring that our technology empowers people and communities through decentralized technologies. We welcome the range of perspectives and differences and celebrate them. We're excited to see how your unique skills as a builder can contribute to our vision, drive innovation, and help us shape a more inclusive Web3. MetaMask is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. MetaMask is aware of fraudulent recruitment practices and we encourage all applicants to review our best practices to protect yourself, which can be found on our page. MetaMask may use artificial intelligence (AI) tools to support parts of our recruitment process, such as reviewing applications, screening resumes, or conducting initial candidate assessments. These tools are designed to assist our recruiting team and improve efficiency — they do not replace human judgment. A human recruiter or hiring manager reviews every candidate, and all final hiring decisions are made by people, not AI. It is a requirement of employment in this position that applicants may be required to submit to background and identity verification checks, including but not limited to employment, education, criminal record checks, and other such checks as determined necessary by the company.

Location: Singapore; Philippines; Albania; Ukraine; Indonesia; Australia; Serbia; Thailand; Khazakstan; Armenia; Türkiye; Romania Workplace: Remote Location: San Francisco or Singapore (on-site), or remote (Singapore or US Pacific time zones) Start Date: ASAP Languages: English Team: Engineering ABOUT THE ROLE Our client is a fast-growing AI company building reliable, fair and open infrastructure for AI training data. Their marketplace helps the people who create data get value for it, and gives AI labs trustworthy data to train on. It is already used by startups, Fortune 500 companies and frontier labs, and the company is backed by leading venture investors, including Y Combinator. They are scaling quickly to meet strong demand. We are looking for a Research Engineer, Privacy and Anonymization to build the systems that make sensitive, real-world data safe and still useful for AI training. You will develop methods to detect and remove personally identifiable information, secrets and other sensitive content from raw data before it enters processing and synthetic data pipelines — protecting privacy without destroying the structure and signal that make the data valuable for training agents. This is a privacy and data-protection engineering seat, not a synthetic-task design role. You will own the pipeline that stands in front of downstream processing, training, evaluation and synthetic generation. This is a full-time role, starting ASAP. Offices are in San Francisco and Singapore; remote candidates are welcome if their working hours can overlap about 70–80% with either San Francisco (US Pacific) or Singapore business hours. The exact daily schedule will be agreed during hiring. WHAT YOU'LL DO - Build systems to detect PII, quasi-identifiers, credentials and other sensitive information, and design transformations based on the data type and the downstream use case. - Develop and benchmark detection approaches that combine rules, statistical models, classifiers and LLM-based methods. - Build production pipelines that anonymize raw data before it enters downstream processing, training, evaluation or synthetic data generation. - Create evaluation frameworks that measure privacy risk and retained data utility, including recall-weighted metrics, leakage tests and adversarial re-identification attempts. - Design systems that stay robust to new data sources, schema drift, unusual formats and sensitive information embedded in unexpected fields. - Work with engineering, research, operations and customers to translate privacy requirements into practical technical policies and safeguards. WHAT WE'RE LOOKING FOR - Strong proficiency in Python, and experience building reliable production data or machine-learning systems. - Experience with information extraction, named-entity recognition, classification, or related methods for detecting rare or sensitive content. - Strong experimental instincts, and the ability to compare approaches across recall, precision, latency, cost and downstream data utility. - An understanding of the difference between redaction, masking, pseudonymization, anonymization and synthetic data — and when each is appropriate. - High attention to detail, and the ability to reason about subtle leakage paths, edge cases and adversarial failure modes. - Experience building data-processing pipelines end to end, including where there was no fully prescribed roadmap. - Clear written and spoken English, and comfort collaborating across teams and time zones. - Strong candidates may also have hands-on experience with privacy-enhancing technologies (such as differential privacy, k-anonymity, secure aggregation or format-preserving encryption); have worked with sensitive data in healthcare, finance or security; have built low-latency or high-throughput ML inference or data-processing systems; or have taken work from early research through to production. - Technical aptitude and learning potential matter more than years of experience. Motivated candidates are encouraged to apply even if they don't meet every point above. WHY THIS ROLE MATTERS FOR YOU - Make real-world data safe to train on: You will build the systems that let sensitive data be used for AI training without exposing people or secrets. - Privacy without wrecking utility: The job is not only to redact, but to keep the structure and signal that downstream training and synthetic pipelines need. - From detection to production: You will own the full path: detection methods, transformations, evaluation, and the pipeline that sits in front of training and generation. - Hard, high-stakes edge cases: Work on leakage paths, schema drift and adversarial failure modes, not only clean benchmark datasets. - San Francisco, Singapore, or remote: Work on-site in San Francisco or Singapore, or remotely, with hours that overlap about 70–80% with either US Pacific or Singapore business hours. The exact daily schedule will be agreed during hiring. Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Workplace: remote Requirements At least 5 years of experience in the Microsoft Power BI and Fabric ecosystem, especially in Power BI Service, Dataflows, Semantic Models, DAX, and M-Code Experience in implementing Microsoft Fabric artifacts such as Lakehouse, Notebooks, and Pipelines from at least 2 projects At least 5 years of experience in data modeling of star and snowflake schemas with dbt At least 5 years of experience in building and implementing data governance structures, especially standards, role and permission concepts, governance processes, and best practices for Self-Service Analytics Experience in using Azure DevOps in connection with Microsoft Fabric from at least one project German at native-speaker level Knowledge of English at B2 level or above Nice to have Experience in the environment of railway transport companies from at least one project At least 3 years of experience in building, further developing, and supporting data communities as well as promoting Self-Service Analytics approaches Responsibilities Design, implementation, and operation of analytical data solutions using Microsoft Fabric (Lakehouse, Warehouse, Dataflows Gen2, Pipelines, Notebooks, Semantic Models) in line with client standards, security, and operational requirements Development and implementation of reports, dashboards, and analytical applications with Microsoft Power BI and Microsoft Fabric, including data modeling, DAX, visualization, and permission concepts Analysis, evaluation, and prototypical implementation of AI functionalities in Microsoft Fabric, e.g., for data analysis, data preparation, natural-language queries, forecasts, pattern recognition, and automated insight generation Consulting the business department in the analysis of complex requirements, the selection of suitable Fabric, Power BI, and AI functionalities, and the evaluation of technical implementation options Project management and coordination services in an agile project context, especially planning, prioritization, documentation, and tracking of requirements, tasks, risks, and dependencies Creation and maintenance of business and technical documentation on data sources, data models, transformation logic, reports, dashboards, AI use cases, permission concepts, and operational aspects Support of an MS Fabric and Power BI community Conducting enablement formats within the community for the business departments Building data models with the dbt framework We offer Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota Competitive compensation that depends on your qualification and skills Career development system with clear skill qualifications Flexible working hours aligned to your schedule Options to work remotely Corporate medical insurance covering services of private and public medical centers English courses online Corporate parties and events for employees and their children Internal conferences, workshops and meetups for learning and experience sharing Gym membership compensation 5 days of paid sick leave per year with no obligation to submit a sick-leave certificate Any questions? Natalya hh@itransition.com

-5-6+ years of software engineering experience with strong hands-on Python, FastAPI, PostgreSQL DB, and microservices. -Strong experience designing AI architecture and building scalable production AI systems using LangChain/LangGraf, RAG, embeddings, reranking, and multi-agent workflows.

Location: Remote Canada At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the team Machine Learning is central to how Affirm delivers on its mission, powering decisions across underwriting, fraud, servicing, and personalization. We are seeking a  Senior Software Engineer to join our ML Training & Serving engineering team, the team that builds and operates the critical infrastructure that enables models to be trained and served across Affirm. This role sits at the intersection of distributed systems, ML infrastructure, and platform engineering. We value engineers who listen closely, invite feedback, and work effectively across organizational boundaries, while maintaining a high bar for ownership, technical judgment, and execution. Strong candidates care about building reliable shared platforms, improving developer velocity, and creating durable systems that enable teams across the company to move faster with confidence. What You'll Do · You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery. · You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. · You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them. · You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts. · You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks. · You will help develop talent on your team by providing feedback and guidance, and leading by example. What We Look For · You have 4+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin. · You have a track record of developing highly available distributed systems using technologies like AWS, MySQL and Kubernetes. · You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others. · You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely. · Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. · You have strong verbal and written communication skills that support effective collaboration with our global engineering team. Experience training and deploying models for production is a nice to have. Base Pay Grade - N Equity Grade - 6 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). CAN base pay range per year: $153,000 - $213,000 Location - Remote Canada This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan. #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Remote US At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the team Machine Learning is central to how Affirm delivers on its mission, powering decisions across underwriting, fraud, servicing, and personalization. We are seeking a  Senior Software Engineer to join our ML Training & Serving engineering team, the team that builds and operates the critical infrastructure that enables models to be trained and served across Affirm. This role sits at the intersection of distributed systems, ML infrastructure, and platform engineering. We value engineers who listen closely, invite feedback, and work effectively across organizational boundaries, while maintaining a high bar for ownership, technical judgment, and execution. Strong candidates care about building reliable shared platforms, improving developer velocity, and creating durable systems that enable teams across the company to move faster with confidence. What You'll Do · You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery. · You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. · You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them. · You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts. · You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks. · You will help develop talent on your team by providing feedback and guidance, and leading by example. What We Look For · You have 4+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin. · You have a track record of developing highly available distributed systems using technologies like AWS, MySQL and Kubernetes. · You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others. · You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely. · Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. · You have strong verbal and written communication skills that support effective collaboration with our global engineering team. · This position requires either equivalent practical experience or a Bachelor’s degree in a related field. · Experience training and deploying models for production is a nice to have. Base Pay Grade - N Equity Grade - 9 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $195,000 - $225,000 USA base pay range (all other U.S. states) per year: $173,000 - $233,000 #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

• развитие агентной архитектуры; • переход на MCP и перевод существующих сервисов в MCP-tools;

Location: Hong Kong SAR About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. Key Responsibilities: Perform daily requirement testing, test case execution, and regression testing. Identify, submit, and track bugs, driving issues through to resolution. Assist with API testing, Web/App testing, and automation testing efforts. Leverage AI tools effectively to improve testing efficiency. Requirements: Major in Computer Science, Software Engineering, or a related field preferred. Familiarity with basic software testing processes and methodologies. Some knowledge of SQL, API testing, or Python is a plus. Detail-oriented and responsible, with strong learning ability and communication skills. Minimum 3-month internship commitment, 5 days per week on-site. Fluent in Mandarin is required; proficiency in English is a plus. Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Location: Intellias Meet your recruiter Jeison Arturo Rios Castano jeison.rioscastano@intellias.com https://www.linkedin.com... Vacancy details Software Engineering Salesforce Engineer Senior Argentina, Chile, Colombia, Mexico, Peru, Uruguay Remote APPLY NOW REFER A FRIEND The Senior Software Engineer contributes to business processes by leveraging technological solutions. You will join a brand new team that will focus on Integration with ServiceNow, new functionality for funding sources and other features. What project we have for you Client is a leading multi-brand technology solutions provider to business, government, education and healthcare customers in the United States, the United Kingdom and Canada. A Fortune 500 company and member of the S&P 500 Index, Client was founded in 1984 and employs approximately 15,100 coworkers. For the trailing twelve months ended June 30, 2023, client generated Net sales of approximately $21,4 billion. What you will do Execute all phases of the software development life cycle. Assess operational needs, costs, and resource requirements for assigned projects, collaborating with project managers as needed. Work in agile team alongside the Product Owner, applying Salesforce/CPQ best practices and design methodologies, such as use case analysis, object modeling, and UI design, to ensure alignment with business requirements and design objectives. Identify and address issues requiring attention, resolving them with a clear understanding of the underlying business problem. Make informed technical decisions aligned with the product roadmap, architecture standards, and management directives. Deliver projects and tasks in a timely manner, honoring commitments to stakeholders and management. Provide regular project/task status updates during daily scrums to the agile team, product owners, and product managers. What you need for this 3 years of application development experience 2+ years of experience with the Salesforce ecosystem and lightning framework Must have the knowledge and practical application of Visualforce, APEX; Force.com APIs, Web Services, and Experience builder Must have knowledge and practical application of Salesforce CPQ, both out of the box and customizations Experience with source control systems like Azure DevOps, GIT Experience with the creation and maintenance of Salesforce / CPQ profiles, permission sets, and objects Experience in Salesforce CPQ integration with external systems and managed packages Deliver solutions in Agile methodology in CI/CD environment Demonstrated ability to build rapport and maintain productive working relationships cross-departmentally and cross-functionally Good written and verbal communication skills Strong organizational, planning, and creative problem-solving skills with critical attention to detail Demonstrated success in facilitation and solutions implementation Proven track record of leading application development projects History of balancing competing priorities with the ability to adapt to the changing needs of the business while meeting deadlines Excellent customer-facing skills that include conducting compelling technical briefings & demonstrations Ability to perform effective code reviews and recommend automated review tools for the team What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills CPQ Salesforce

Location: Hong Kong SAR; Kuala Lumpur, Malaysia About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. Project Overview： Maintain the mobile app for iOS and Android in Flutter Follow Figma designs to build beautiful interfaces through Flutter Work with our design and backend teams to implement new features Stay up to date with best practices in mobile performance, security, and UX Write documentation and support internal knowledge sharing Must Haves Major in Computer Science or related fields. Solid foundation in computer science and a good understanding of microcomputer principles. Strong sense of responsibility for software products, with good communication skills and excellent teamwork capabilities. Proficient in at least one programming language, such as (but not limited to): Java, Kotlin, Objective-C, Swift, C, C++, or Python. Passion for building the high-performance apps Nice to Haves Strong experience with Flutter and Native mobile development Solid understanding of TypeScript and modern React patterns Side projects or open-source contributions Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Location: Hong Kong SAR; Kuala Lumpur, Malaysia About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. Must Haves Major in Computer Science or related fields. Solid foundation in computer science and a good understanding of microcomputer principles. Strong sense of responsibility for software products, with good communication skills and excellent teamwork capabilities. Proficient in at least one programming language, such as (but not limited to): Java, Kotlin, Objective-C, Swift, C, C++, or Python. Passion for building the high-performance apps Nice to Haves Strong experience with Flutter and Native mobile development Solid understanding of TypeScript and modern React patterns Side projects or open-source contributions Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Location: Intellias Vacancy details Software Engineering Python Engineer Associate India Hybrid APPLY NOW REFER A FRIEND We have a dream: to change industries through the power of digital technology. With a team of top-notch engineers by your side, you will develop groundbreaking solutions at Intellias. Let’s code the future together! What project we have for you Our customer’s location services are used by millions of people every day on mobile devices, cars, wearables and on the web. We are pushing the boundaries of, and extending the horizons of highly-autonomous driving, Virtual Reality and IoT. We are the experts on map compilation that make possible the most comprehensive map in the market. Our work is constantly striving for the best map ever. We are proud to have experts in the field and top specialists located in Germany and Ukraine. Join our passionate team and take a unique chance to work on the core technologies of cutting edge navigation systems for premium cars and the future of automated driving. What you will do Participate in all stages of software development including analyzing, designing, programming, debugging, and modifying software enhancements and/or new products for internal or customer applications Using current programming language and technologies, write code, complete programming, and perform testing and debugging of applications. Compose and maintain documentation and procedures for installation and maintenance Analyze and fix incoming defects Cooperate with other teams in elaboration of fixes and solutions of issues What you need for this Good knowledge of Python syntax Good to have Java SQL syntax and terms Understanding of OOAD, architecture and design patterns Understanding of SDLC and engineering practices Experience with continuous integration systems (i.e. Jenkins) Git basic knowledge Linux: basic commands, permissions understanding Self-motivated, well-organized, detail-oriented and a strong team player Higher Education: Basic Degree What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

Location: Remote Canada At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the Engineering team The Engineering team builds systems that power Affirm’s mission. We take pride in our craft, building reliable, performant, and scalable solutions that touch every part of the business. Whether we’re enabling new ways to pay, ensuring our platforms can scale to the most demanding levels in the industry, or developing seamless servicing experiences, our focus is on solving complex problems through exceptional engineering. About the team ML Feature Platform is one of the two teams that compose the ML Platform at Affirm, the other team being ML Training & Serving Platform. The two platform teams work closely together to create the ML + Data flywheel that empowers Affirm. ML Feature Platform’s mission is to: Grow Affirm’s business by building a delightful, self-serve platform for developing and serving data for machine learning and decisioning. As the feature platform team, we own multiple artifacts that in aggregate own the end-to-end flows for features. This includes: Feature creation, exploration, and serving Data storage, availability, and visibility Offline backfilling infrastructure and platform improvements This scope means your work will have a direct impact on the everyday lives and capabilities for our end users: MLEs, Analysts, and decisioning teams. Additionally as the primary data source for ML and online decisioning, our platform’s performance is critical to Affirm’s availability and latency goals. We’re looking for engineers who are passionate about ML enablement and believe that platform level improvements can bring snowball effects across the company. What you’ll do You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery. You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them. You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts. You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks. You will help develop talent on your team by providing feedback and guidance, and leading by example. What we look for You have 4+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin. You have a track record of developing highly available distributed systems using technologies like AWS, MySQL and Kubernetes. You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others. You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely. Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. You have strong verbal and written communication skills that support effective collaboration with our global engineering team. Base Pay Grade - N Equity Grade - 6 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). CAN base pay range per year: $153,000 - $213,000 Location - Remote Canada This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan. #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Remote, Poland GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Staff Backend Engineer in GitLab's Performance Enablement group, you'll define and build the self-serve platform that lets GitLab engineering teams own their performance. You'll give internal teams the tooling and guidance to run performance tests, analyze results, track trends, and meet their own performance requirements throughout the development lifecycle. We're a platform, not a consulting service: we build capabilities that teams use independently to deliver a reliable, performant GitLab to customers. In this hands-on technical leadership role, you'll work with the Engineering Manager to shape a multi-quarter vision and roadmap, bringing your performance engineering expertise to influence teams across research and development (R&D). Some examples of our projects in Performance Enablement : Building reusable component-level testing, load testing, performance analysis, trend visibility, and artificial intelligence (AI)-assisted engineering skills Enabling teams to test performance throughout the development lifecycle, from local development and continuous integration (CI) workflows through pre-release validation, including modular feature teams' own workflows What you’ll do Define the team's technical vision and multi-quarter roadmap with the Engineering Manager, identify opportunities for impact across R&D, and advocate for technical priorities with stakeholders. Design and build reusable platform capabilities for performance testing, analysis, reporting, and trend visibility, solving complex technical problems and shipping large capabilities with minimal guidance. Turn lessons from early team engagements into reusable capabilities, documentation, and onboarding, measured by each new team needing less hands-on support than the last until teams can adopt the platform and manage their performance independently. Coordinate with peer teams across Developer Experience, Infrastructure Platforms, and product groups to align priorities and timing. Lead AI-first development practices in how we build and what we ship, including AI skills and agent-assisted performance workflows. Mentor engineers in performance engineering, platform design, and technical decision-making. Serve as a performance expert for other teams and provide technical guidance on initiatives spanning multiple groups. Take part in on-call or operational support where your team's ownership model requires it. What you’ll bring Staff-level backend or platform engineering experience, including setting technical direction across a team and the teams around it. A track record of building and operating performance testing and analysis systems, with an understanding of where bottlenecks appear and how to find them. Experience leading or anchoring a performance enablement or platform function and achieving measurable adoption of internal tooling by influencing engineers and leaders who don't report to you. Experience defining and delivering a multi-quarter technical strategy or roadmap with engineering leadership. An AI-first development mindset demonstrated across the software lifecycle, including shaping how a team uses AI. Hands-on experience with load and performance testing tools such as k6 or equivalent, Kubernetes, and Amazon Web Services, Google Cloud Platform, or similar cloud infrastructure. Clear written, asynchronous communication, including explaining performance trade-offs to engineers and leadership. About the team Performance Enablement is part of Platform Enablement within Developer Experience and Infrastructure Platforms. We work asynchronously and collaborate broadly across R&D, coordinating with peer platform and product groups. Documentation, onboarding, and feedback loops help us turn early team engagements into capabilities that scale beyond individual teams. Poland base salary range: zł 328,000 - zł 492,000 The base salary range for this role’s listed level is currently for residents of the EU, applicable in the specified country or countries only. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location and having regard to any applicable collective agreements. The base salary range does not include bonuses, equity, or benefits. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Remote US At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the Engineering team The Engineering team builds systems that power Affirm’s mission. We take pride in our craft, building reliable, performant, and scalable solutions that touch every part of the business. Whether we’re enabling new ways to pay, ensuring our platforms can scale to the most demanding levels in the industry, or developing seamless servicing experiences, our focus is on solving complex problems through exceptional engineering. About the team ML Feature Platform is one of the two teams that compose the ML Platform at Affirm, the other team being ML Training & Serving Platform. The two platform teams work closely together to create the ML + Data flywheel that empowers Affirm. ML Feature Platform’s mission is to: Grow Affirm’s business by building a delightful, self-serve platform for developing and serving data for machine learning and decisioning. As the feature platform team, we own multiple artifacts that in aggregate own the end-to-end flows for features. This includes: Feature creation, exploration, and serving Data storage, availability, and visibility Offline backfilling infrastructure and platform improvements This scope means your work will have a direct impact on the everyday lives and capabilities for our end users: MLEs, Analysts, and decisioning teams. Additionally as the primary data source for ML and online decisioning, our platform’s performance is critical to Affirm’s availability and latency goals. We’re looking for engineers who are passionate about ML enablement and believe that platform level improvements can bring snowball effects across the company. What you’ll do You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery. You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them. You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts. You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks. You will help develop talent on your team by providing feedback and guidance, and leading by example. What we look for You have 4+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin. You have a track record of developing highly available distributed systems using technologies like AWS, MySQL and Kubernetes. You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others. You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely. · Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. You have strong verbal and written communication skills that support effective collaboration with our global engineering team. This position requires either equivalent practical experience or a Bachelor’s degree in a related field. Base Pay Grade - N Equity Grade - 9 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $195,000 - $225,000 USA base pay range (all other U.S. states) per year: $173,000 - $233,000 #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Workplace: Москва и Краснодар (гибрид/офис), другие города - удаленно Ищем DevOps / Kafka Engineer в команду потоковых данных, которая развивает и поддерживает платформенное решение на базе Kafka и Kafka Connect. Команда отвечает за отказоустойчивость, доступность и мониторинг Kafka-инфраструктуры, а также автоматизирует управление жизненным циклом кластеров и развивает внутренние инструменты для работы с платформой. Задачи Обеспечивать отказоустойчивость, стабильность и доступность кластеров Kafka и Kafka Connect Развивать и поддерживать платформенное решение на базе Kafka и Kafka Connect Конфигурировать и сопровождать коннекторы MirrorMaker2, Debezium и другие Kafka Connect-коннекторы Заниматься диагностикой и дебагом Kafka, Kafka Connect и связанных инфраструктурных компонентов Автоматизировать развертывание, конфигурирование и масштабирование кластеров с помощью Ansible Развивать внутренние инструменты для автоматизации жизненного цикла Kafka-инфраструктуры Настраивать мониторинг, алертинг и дашборды с использованием VictoriaMetrics, Alertmanager и Grafana Участвовать в миграции данных между кластерами и обеспечивать ее без простоя сервисов Консультировать команды разработки по лучшим практикам работы с Kafka и настройке producers / consumers Требования Опыт работы DevOps / Infrastructure Engineer от 5 лет, из них не менее 2-3 лет работы с Kafka в production Глубокое понимание архитектуры Kafka и принципов построения отказоустойчивых высоконагруженных кластеров Практический опыт эксплуатации Kafka Connect, MirrorMaker2 или Debezium Уверенные навыки администрирования Linux и диагностики инфраструктурных проблем Опыт автоматизации развертывания и управления инфраструктурой с использованием Ansible Опыт настройки мониторинга, метрик и алертинга, а также работы с VictoriaMetrics, Alertmanager и Grafana Самостоятельность в принятии технических решений и умение консультировать команды разработки по работе с Kafka Условия Оформление в аккредитованную ИТ-компанию Конкурентоспособную заработную плату (обсуждается индивидуально) ДМС со стоматологией и льготными условиями для членов семьи Технику для работы Работу в максимально уютном офисе в Москве на ст. м. Савёловская, в Краснодаре или удаленно из других городов РФ, так же есть ИТ офисы в Санкт-Петербурге (ст. м. Балтийская) и Иннополисе Возможность проведения и участия в митапах, хакатонах, где есть возможность познакомиться с работой других подразделений Возможность реализовать свой опыт и потенциал в интересных и многоплановых проектах, получить новый интересный опыт в решении сложных задач Наличие корпоративных скидок и программ лояльности Наличие корпоративной библиотеки курсов Формат работы Москва и Краснодар (гибрид/офис), другие города - удаленно

Задачи: — Реализовывать и развивать мобильный SDK, проводя рефакторинг существующей архитектуры на Kotlin Multiplatform; — Развивать сетевой и data layer, включая управление запросами, retry-стратегии, throttling, обработку ошибок, кэширование, локальное хранение и синхронизацию данных; — Разрабатывать асинхронные пайплайны с контролем конкурентности и latency, реализовывать фоновые операции и управление состоянием данных; — Реализовывать realtime-взаимодействие и persistent connections, включая механизмы восстановления соединения, интеграцию нативной и веб-части через WebView и взаимодействие с backend; — Обеспечивать корректную интеграцию и работу SDK в сторонних приложениях, заниматься тестированием, диагностикой, мониторингом и оптимизацией производительности и потребления ресурсов. Требования: — Практический опыт разработки на Kotlin Multiplatform на системном уровне, не UI; — Опыт разработки SDK, библиотек, framework или сложных переиспользуемых мобильных компонентов; — Знание интеграции мобильных библиотек или SDK в сторонние приложения; — Регулярная практика проектирования и реализации архитектуры мобильных приложений или платформенных решений; — Опыт работы с асинхронностью и конкурентностью (Kotlin Coroutines / Flow); — Опыт проектирования сетевого взаимодействия на уровне production, применение модели OSI при разработке сервисов; — Понимание построения data-heavy систем на клиентской стороне: кэширование, синхронизация, консистентность данных; — Навыки самостоятельной реализации технических решений, тестирования и отладки; — Опыт системного debugging и поиска первопричин проблем. Будет плюсом: — Опыт разработки и поддержки приложений с DAU > 1000; — Знание Swift и Swift Concurrency; — Опыт интеграции WebView и взаимодействия нативной и веб-части; — Опыт работы с realtime-коммуникациями, streaming и persistent connections; — Знакомство с SQLDelight, OkHttp и аналогичными инструментами; — Понимание работы поисковых систем, ранжирования или e-commerce систем. Условия: — Удалённая работа или гибридный формат; — Предпочтительная локация: Москва, Екатеринбург, Нижний Новгород (для периодических личных встреч); — Оформление сотрудничества через ИП; — Оплата 2000–2500 рублей в час; — Максимальный месячный бюджет 420 000 рублей. Дополнительно: — Вы будете единственным мобильным инженером компании, отвечать за мобильный SDK; — Архитектура SDK 2.0 уже спроектирована, предстоит реализовать её, довести SDK до production и обеспечивать дальнейшее развитие и качество; — Тесное взаимодействие с backend-инженером, включая совместные code review; — Работа над SDK от анализа и проработки решений до реализации, тестирования, выпуска и поддержки. Технологический стек компании включает Kotlin, Swift, Kotlin Multiplatform, SQLDelight, OkHttp, Flutter, Python. Компания YoloPrice — embeddable e-commerce платформа, интегрируемая в сторонние мобильные приложения, обеспечивающая ключевую логику: поиск, данные, синхронизацию и работу приложения в online.

- Evolve the Medusa-based commerce backend: custom modules, data models, module links, API routes, workflows. - Extend Medusa Admin with widgets and custom routes.