Tether Operations Limited

Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing. Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job At Tether, we are at the forefront of integrating artificial intelligence with brain-computer interface technologies. Our projects leverage deep learning, generative models, and representation learning to decode and interpret brain activity. With our foundation in both established and cutting-edge AI infrastructure, our mission is to bridge the gap between AI and neuroimaging, driving innovation that’s not only revolutionary but also accessible, transparent, and privacy-focused. We are looking for a motivated and skilled machine learning engineer to join our dynamic Brain & AI team. This role focuses on developing AI models that enhance our understanding of neural mechanisms building encoding and decoding models and apply this knowledge to real-world applications such as brain computer interfaces. You will be instrumental in pushing the boundaries of what’s possible in AI and neuroscience, helping to solve some of the most complex and fascinating challenges in the field today. Responsibilities - Develop and evaluate scalable deep learning algorithms that are central to our brain decoding initiatives. - Collaborate closely with data scientists to pioneer research in generative modeling and representation learning. - Identify bottlenecks in data processing pipelines and devise effective solutions, improving performance and reliability. - Maintain high standards of code quality, organization, and automatization across all projects. - Adapt machine learning and neural network algorithms to optimize performance in various computing environments, including distributed clusters and GPUs. - Write and revise papers, participate in conferences, communicate and disseminate results. Basic Qualifications: - Degree in Computer Science, Statistics, Informatics, Physics, Math, Neuroscience or another quantitative field. - 3+ years of experience of working in industry or research. - Strong programming skills in Python, with experience in developing machine learning algorithms or infrastructure using Python and PyTorch. - Experience in deep learning techniques such as supervised, semi-supervised, self-supervised learning, and/or generative modeling. - Strong scientific background and ability to formulate and test novel hypotheses with proper experiments, draw conclusions and support claims. - Proficient in managing unstructured datasets with strong analytical skills. - Demonstrated project management and organizational skills. - Proven ability to support and collaborate with cross-functional teams in a dynamic environment. Preferred Qualifications: - PhD and research experience in Computer Science, Statistics, Informatics, Physics, Math, Neuroscience or another quantitative field. - Scientific publications in top-tier AI and neuroscience conferences (NeurIPS, ICLR, ICML, AAAI, CVPR, Cosyne, SFN, CNN ecc) or peer reviewed journals - Familiarity with deep learning libraries such as Pytorch, Huggingface, Transformers, Accelerator and Diffuser. - Hands-on experience in training and fine-tuning generative models like diffusion models or large language models such as GPTs and LLAMAs. - Experience with data and model visualization tools. - Experience with non-invasive neural data (fMRI, EEG, MEG) or invasive neural recordings (ECoG, MEA, ecc). Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: - Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ - Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. - Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. - Double-check email addresses. All communication from us will come from emails ending in @tether.to or @tether.io - We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking a highly skilled Technical Architect who brings real-world architecture experience and excels at working collaboratively with engineers, designers, and stakeholders. This role requires deep technical understanding across our stack — spanning apps, SDKs, SaaS platforms, and distributed systems — and the ability to translate that knowledge into scalable, maintainable, and high-performing architectures that align with our design principles and long-term vision. The Technical Architect will act as a bridge between technical strategy and implementation, driving architectural consistency across teams while remaining hands-on in guiding system design, documentation, and evolution. You will help define the backbone of our technology by analyzing, documenting, and improving complex systems — applying open standards such as C4 and maintaining clear records of Important Technical Decisions (ITDs) to ensure traceability and shared understanding across the organization. You will collaborate closely with engineers, product managers, and leadership to design robust and future-proof systems, foster architectural best practices, and mentor teams in achieving technical excellence. From leading design proposals and PoCs to defining reference implementations and modernization paths, you’ll play a key role in ensuring that every part of our technology scales with our ambitions. Responsibilities - Design robust and scalable architectures for all sorts of systems (apps, SDKs, SaaS platforms, etc.) that are tailor-made for our specific tech stack. - Work closely with developers, product managers, designers, and other stakeholders to translate requirements into clear, practical, and forward-looking architectures. - Write and review technical proposals to ensure they align with the agreed architecture, principles, and long-term technical direction. - Contribute to guiding development through code reviews, building PoCs, defining skeleton structures, and ensuring technical consistency across teams. - Promote architectural standards and best practices across the organization to foster consistency, interoperability, and sustainable development. - Analyze and document existing architectures by deeply understanding the current implementation of products and systems. - Detect and explain core algorithms and design patterns that form the backbone of key systems. - Identify and record Important Technical Decisions (ITDs), ensuring they are properly captured, reviewed, and traceable to their rationale and impact. - Evaluate and evolve existing architectures to improve scalability, maintainability, and performance. - Mentor and enable engineering teams in system design, architectural principles, and documentation best practices. - Keep up to date with new tools, frameworks, and ideas, and proactively identify opportunities to improve our systems, processes, and developer experience. Qualifications - 10+ years of experience in software development. - 3+ years of experience in a Technical Architect, Chief Architect, or similar technical leadership role. - Strong hands-on experience with JavaScript/TypeScript and/or C++. - Proven ability to perform and make decisions in fast-paced, dynamic, and evolving environments. - Demonstrated ability to analyze, refactor, and document complex systems. - Deep understanding of architecture principles, design patterns, and modern system paradigms. - Proven ability to identify and articulate key algorithms, flows, and design patterns in existing systems. - Demonstrated experience architecting systems for scale. - Demonstrated leadership in defining architectural standards and driving technical governance. - Strong problem-solving and system-level thinking. - Hands-on experience with containerization and orchestration, including Docker and Kubernetes. - Practical experience with databases and data modeling, covering SQL and NoSQL systems. - Excellent grasp of DevOps principles. - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline. Important Information for Candidates - Apply only through our official channels. - Verify the recruiter’s identity. - Be cautious of unusual communication methods. - Double-check email addresses. - We will never request payment or financial details.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description You will own the inference backbone behind QVAC's local AI stack: the C++ systems layer that makes models run fast, reliably, and predictably on real user hardware. The role is centered on engineering quality at runtime level, including: - Startup behavior - Memory pressure - Throughput/latency balance - Long-session stability You will define and evolve the core abstractions that inference features depend on, enabling new capabilities to be added without sacrificing performance or maintainability. This role is for someone who enjoys low-level problem solving, clear technical ownership, and building infrastructure that other teams trust in production. Your work directly enables private, on-device AI experiences and helps set the technical foundation for QVAC's next generation of peer-to-peer AI products. Responsibilities - Work on deploying machine learning models to edge devices using the frameworks: llama.cpp, ggml, onnx - Collaborate closely with researchers to assist in coding, training and transitioning models from research to production environments - Integrate AI features into existing products, enriching them with the latest advancements in machine learning Qualifications - Excellent programming skills in C++, experience in Javascript is a bonus - Strong experience with Llama.cpp and ggml inference engines, facilitating the deployment of models to specific GPU architectures - Good understanding of deep learning concepts and model architectures - Experience with transformers, LLMs, Diffusion models - Demonstrated ability to rapidly assimilate new technologies and techniques - A degree in Computer Science, AI, Machine Learning, or a related field, complemented by a solid track record in AI R&D Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: - Apply only through our official channels. - We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ - Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. - Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. - Double-check email addresses. All communication from us will come from emails ending in @tether.to or @tether.io. - We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We're seeking experienced AI infrastructure Engineers to design and implement robust, scalable pipelines for massive data workloads. Join Tether’s applied research team, where you’ll contribute to high-impact projects that run across thousands of GPUs and drive cutting-edge video generation foundation development. Responsibilities - Build and scale high-throughput data infrastructure optimized for video and multimodal content processing across large GPU clusters (e.g., H100/H200). - Design core preprocessing algorithms for video, audio, text, and image modalities, enabling efficient extraction, synchronization, and normalization of temporal data. - Build automated acquisition pipelines for sourcing large-scale video datasets, handling diverse formats, frame rates, annotations, and embedded audio. - Architect robust systems for scalable evaluation and annotation, including prompt-based scoring, perceptual metrics, caption generation, and retrieval-based diagnostics. - Collaborate with model researchers to co-design video model architectures (e.g. DiTs, VAEs, spatio-temporal transformers) and training schedules across pretraining and fine-tuning stages. - Optimize distributed data loading and pipeline throughput for training at scale, ensuring robustness across model variants and modality combinations. - Manage infrastructure to support experiment tracking, model versioning, and cross-team deployment workflows, integrating with production and research platforms. - Support backend engineering across research, product, and creative teams to ensure seamless integration of data and model workflows from prototyping to inference. Qualifications - Proficient in Python with strong programming skills across backend, infrastructure, and data tooling domains. - Strong software engineering experience, including 2+ years working with petabyte-scale data pipelines and systems across thousands of GPUs. - Proven ability to architect and maintain large-scale distributed systems for data processing and delivery. - Deep expertise in orchestration frameworks such as Kubernetes and SLURM with hands-on experience deploying and managing high-throughput workloads. Preferred Qualifications - Practical experience on building pipelines and infrastructure with visual and multimodal datasets, including image/video pipelines. - Experience in building video foundation infrastructure pipelines and workflows with collaboration of LLM and/or video foundation research and engineering teams is a strong advantage. Important information for candidates - Apply only through our official channels. - We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ - Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. - Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. - Double-check email addresses. All communication from us will come from emails ending in @tether.to or @tether.io. - We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking highly motivated MSc or PhD interns to work on video generation and multimodal video foundation models. Interns will focus on one or more components of the foundation model lifecycle and are encouraged to propose creative, research-driven ideas that advance the state of the art. - Contribute to the development and improvement of open-source video foundation models. - Analyze limitations and design scalable solutions. - This is a research-focused internship with opportunities to publish at top-tier computer vision and machine learning conferences. - Work with petabyte-scale video datasets and large distributed GPU clusters with thousands of GPUs. Responsibilities - Research and improve open-source video and multimodal video generation foundation models. - Focus on one or more areas such as: - Pre-training - Supervised fine-tuning - Post-training - Inference - Architecture design - Evaluation - Benchmark models against current state-of-the-art, identify bottlenecks, and propose novel improvements. - Work with large-scale video datasets and distributed training systems. - Collaborate with researchers and engineers on projects with clear research and publication potential. Qualifications - MSc or PhD candidate in Computer Science, Machine Learning, Computer Vision, or a related technical field. - Research topic or experience in image generation, video generation, or multimodal learning. - Awareness of open-source video foundation models and their current limitations. - Proficiency with PyTorch and modern deep learning workflows. - Strong analytical thinking, creativity, and collaboration skills. - Prior first-author related publications in CVPR, ICCV, ECCV, NeurIPS, or ICLR. Preferred Qualifications - Demonstrated related work, such as research codebase or benchmarks released on GitHub or similar platforms. - Experience with large-scale or distributed training. - Hands-on experience with diffusion-based, transformer-based, or hybrid video generation models. Important Information for Candidates - Apply only through our official channels. - We do not use third-party platforms or agencies for recruitment unless clearly stated. - Verify the recruiter’s identity through verified LinkedIn profiles. - Be cautious of unusual communication methods; we do not conduct interviews over WhatsApp, Telegram, or SMS. - Double-check email addresses; all communication will come from emails ending in @tether.to or @tether.io. - We will never request payment or financial details. Team AI Research

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The role involves working in a dynamic environment with a diverse team of senior backend developers, product managers, and leadership to build crypto wallet solutions. The applications are meant to be high performance, light-weight, and highly intuitive to cater to a variety of audiences. You will be working on developing cutting-edge mobile applications integrating crypto wallets and DeFi features. Responsibilities - Development: Design and build advanced and secure cross-platform applications for the [iOS/Android] platform using React Native. Collaborate with UI/UX designers to ensure applications are visually appealing and intuitive. - Integration: Work closely with backend developers and integrate JavaScript SDKs, libraries, and backend services into mobile applications. - Collaboration: Collaborate with product managers, designers, and other developers to deliver innovative solutions. Qualifications - 3+ years of experience with React, React-Native (mainly around Expo), Redux, and the core principles surrounding these. - Highly proficient in JavaScript and ES6+. - Experience with CI/CD pipelines for mobile development. - Familiar with modern front-end pipelines and tools. - Experienced with Native modules (C++), WebSockets, RESTful based APIs. - Experience in Swift/Objective-C (iOS) or Kotlin/Java (Android) for low-level implementation. Important Information for Candidates - Apply only through our official channels. - We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ - Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. - Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. - Double-check email addresses. All communication from us will come from emails ending in @tether.to or @tether.io. - We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. - When in doubt, feel free to reach out through our official website.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As a Senior Fullstack Software Engineer on the CosmicAC team, you will play a critical role in building and scaling our GPU-accelerated cloud services platform. You'll work on both the backend infrastructure that powers AI/ML workloads at scale and the frontend interfaces that make these capabilities accessible to developers and data scientists. This position requires deep technical expertise in distributed systems, strong backend development skills, and the ability to create intuitive user experiences. You'll be joining a team that's pushing the boundaries of decentralized AI infrastructure, working on everything from Kubernetes orchestration and managed inference services to API design and real-time monitoring dashboards. Your work will directly impact how developers interact with and deploy AI models in production environments. Responsibilities - Backend Development: Design and implement robust backend services and APIs that handle AI model inference, resource orchestration, and workload distribution across distributed GPU infrastructure. - Frontend Implementation: Build responsive and intuitive web interfaces for training job management, model deployment workflows, and real-time monitoring dashboards using modern JavaScript frameworks. - Distributed Systems Architecture: Contribute to the design and implementation of distributed systems using peer-to-peer technologies (Holepunch stack). - API Design & Integration: Develop and maintain APIs that support both synchronous and asynchronous inference patterns, ensuring compatibility with industry standards. - Platform Reliability: Implement monitoring, logging, and telemetry solutions to ensure high availability and performance of the platform services. - Cross-functional Collaboration: Work closely with DevOps, AI/ML engineers, and product teams to deliver integrated solutions that meet technical and business requirements. - Code Quality & Best Practices: Maintain high standards for code quality through peer reviews, testing, and documentation while championing security best practices. Qualifications - 5+ years of experience in fullstack development with strong emphasis on backend systems. - Expert-level proficiency in Node.js/JavaScript for backend development and React frontend framework. - Proven experience building and scaling distributed systems or event-driven architectures. - Strong understanding of API design and implementation, including authentication, rate limiting, and versioning. - Experience with containerization technologies (Docker) and orchestration platforms (Kubernetes). - Proficiency with databases, and a deep understanding of data modeling and optimization. - Solid understanding of networking, security principles, and best practices for production systems. - Experience with real-time data streaming and RPC implementations. - Ability to work independently in a remote environment and communicate effectively across time zones. Requirements - Preferred: Experience with peer-to-peer technologies (Hyperswarm, libp2p, WebRTC) or similar distributed communication protocols. - Familiarity with AI/ML inference APIs and OpenAI-compatible endpoints. - Previous experience building AI SaaS or PaaS platforms. - Knowledge of GPU resource management and ML framework infrastructure. - Experience with message queuing systems (Redis, RabbitMQ, Kafka). - Familiarity with observability tools (Prometheus, Grafana, ELK stack). - Understanding of WebAssembly or edge computing paradigms. - Contributions to open-source projects in relevant domains. Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: - Apply only through our official channels. - We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ - Verify the recruiter’s identity. - All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. - Be cautious of unusual communication methods. - We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. - Double-check email addresses. - All communication from us will come from emails ending in @tether.to or @tether.io. - We will never request payment or financial details. - If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. - When in doubt, feel free to reach out through our official website.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The primary goal of a Technical Project Manager is to plan, coordinate, and oversee the successful delivery of projects from initiation to completion. This involves helping define project scope, timelines, and deliverables; managing resources and budgets; mitigating risks; and ensuring effective communication across stakeholders. The role is focused on bridging the gap between technical teams and business objectives, ensuring solutions are delivered on time, within scope, and to the highest quality standards, while fostering collaboration, removing obstacles, and driving continuous improvement in project execution. Responsibilities - Oversee Project Execution: Monitor progress, manage dependencies, and adjust plans proactively to address changing requirements or constraints. - Manage Stakeholder Communication: Provide regular updates on project status, risks, and changes to stakeholders, ensuring transparency and alignment. - Help to Establish Project Scope: Collaborate with stakeholders to establish project objectives, deliverables, timelines, and success criteria. - Mitigate Risks and Resolve Issues: Identify potential risks early, develop mitigation strategies, and resolve project blockers to maintain momentum. - Coordinate Cross-Functional Teams: Facilitate collaboration between development, QA, product, and business people to align on goals and priorities. - People Management and Team Development: Conduct regular 1-1s with team members, provide coaching, track performance, support career growth, and actively participate in recruitment and onboarding processes. - Drive Continuous Improvement: Gather feedback after project completion and implement lessons learned to refine future project execution. - Control Budgets and Costs: Track project expenditures and ensure the project stays within budget (depending on the project). Qualifications - Bachelor’s degree in Computer Science, Information Technology, Engineering, Project Management, or a related field (or equivalent practical experience). - +5 years of proven experience managing software development projects. - +5 years of recent experience in software development. - Proficiency in one or more programming/scripting languages (e.g., JavaScript, Python, Java, C#, etc.). - Strong understanding of DevOps practices, CI/CD, and modern software delivery pipelines. - Strong understanding of SDLC and Agile/Scrum methodologies. - Strong experience with development tools (e.g., Git, Asana, Confluence, Slack). - Strong understanding of various testing approaches (unit, integration, end-to-end), test automation, performance testing, and security testing. - Proficiency in diagnosing and resolving technical issues. Requirements - Ability to deliver results in fast-paced, high-growth environments, balancing agility with quality. - Exceptional organizational skills in fast-paced environments. - Strong proficiency in planning, scheduling, resource allocation, and stakeholder management. - Strong proficiency in setting performance expectations, monitoring progress, providing constructive feedback, and evaluating both individual and team performance. - Strong proficiency in identifying, assessing, and mitigating project risks. - Proven ability to lead multiple projects concurrently. - Experience leading distributed/global teams. Soft Skills - Exceptional leadership skills. - Exceptional communication skills. - Exceptional problem-solving skills. Language - Proficiency in English (spoken and written). Preferred - Certifications: PMP (Project Management Professional), PRINCE2, or equivalent. - Certified ScrumMaster (CSM) or Agile Project Management certification. - Knowledge of database systems (SQL, NoSQL). - Experience with Docker, Kubernetes, or similar technologies. - Experience with API design and integration. - Thorough understanding of quality control and assurance processes to ensure project deliverables meet established standards. - Ability to understand and contribute to system architecture discussions. - Experience participating in or leading code reviews. - Experience in identifying and addressing performance bottlenecks in software. - Understanding of cybersecurity principles and best practices. - Experience managing budgets. Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: - Apply only through our official channels. - We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ - Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. - Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. - Double-check email addresses. All communication from us will come from emails ending in @tether.to or @tether.io. - We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. - When in doubt, feel free to reach out through our official website.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The goal of a QA Lead is to drive the overall quality strategy and ensure that products meet the highest standards of reliability, performance, and user satisfaction. This role combines technical expertise with leadership, guiding QA Engineers in both manual and automated testing practices while fostering a culture of quality across the organization. - Define and drive QA strategy: Establish and continuously refine the overall QA vision, goals, and strategy to align with product and engineering objectives, balancing manual and automated testing approaches. - Plan and manage testing activities: Oversee test planning, prioritization, and execution across projects. Ensure test coverage aligns with business impact, release timelines, and risk assessment. - Mentor and guide QA Engineers: Provide technical and procedural guidance to QA Engineers, fostering skill development in both manual and automation testing. Conduct regular reviews and coaching sessions. - Ensure quality governance and standards: Define QA processes, templates, and best practices to standardize testing across teams. Maintain consistency in documentation, defect management, and reporting. - Collaborate with cross-functional teams: Work closely with product managers, developers, and DevOps to ensure quality is embedded throughout the SDLC. Participate in planning and other ceremonies where applicable to provide support and guidance. - Oversee test automation strategy: Guide the design, maintenance, and optimization of automation frameworks. Ensure automation coverage is effective, scalable, and well-integrated into CI/CD pipelines. - Manage test environments and data: Coordinate environment setup, data preparation, and version control to ensure test consistency and reliability across manual and automated executions. - Monitor and report on quality metrics: Define and track key QA KPIs (e.g., defect density, test coverage, pass rate, release readiness). Use insights to drive continuous improvement. - Facilitate release readiness and risk assessment: Lead go/no-go decisions based on test outcomes, quality metrics, and known issues. Communicate quality status and risks clearly to stakeholders. - Drive continuous improvement: Evaluate tools, processes, and team performance to identify opportunities for efficiency and quality enhancement. Champion a culture of learning and proactive defect prevention. Qualifications - Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent practical experience). - 5+ years of experience in Quality Assurance, including both manual and automation testing. - 3+ years of proven experience leading QA teams or managing QA processes across multiple projects. - Demonstrated experience defining and executing QA strategies for complex software systems. - 3+ years of experience in JavaScript, Typescript & NodeJS. - 3+ years of experience in test automation design and implementation (e.g., using Selenium, Cypress, Playwright, or equivalent). - 3+ years of experience in native mobile test automation design and implementation (e.g. Appium, Espresso, XCUITest, Detox, AWS Device Farm, BrowserStack App Automate, Firebase Test Lab, Sauce Labs, Kobiton, Robot Framework, BitBar, LambdaTest Mobile, HeadSpin, Fastlane, Tricentis Testim or equivalent). Requirements - Strong understanding of QA methodologies, test design techniques, and SDLC/Agile/Scrum practices. - Proficiency in one or more programming/scripting languages (e.g., JavaScript, Python, Java, C#). - Hands-on experience with CI/CD pipelines and DevOps practices (e.g., GitHub Actions, Jenkins, GitLab CI). - Proven experience integrating automated tests into build and deployment workflows. - Knowledge of performance, load, and security testing principles. - Proficiency in QA and defect tracking tools (e.g., Qase, TestRail, Jira, Asana, Confluence). - Proven experience in leading the design and execution of QA strategies across multiple projects. - Expertise in defining and implementing test plans, automation frameworks, and quality metrics. - Strong collaborative skills to align testing efforts with development, DevOps, and product management. - Ability to critically evaluate requirements and proposals for quality, ensuring clarity, testability, and completeness. - Proficiency in monitoring and reporting on quality KPIs, defect trends, and test coverage metrics. - Experience driving automation adoption and optimizing CI/CD pipelines for quality integration. - Demonstrated ability to act as a “red team” for quality — identifying risks and raising no-go flags when release criteria are not met. - Strong proficiency in planning, scheduling, prioritizing, and coordinating testing activities across teams. - Experience managing distributed QA teams and collaborating across global time zones. - Ability to balance speed, quality, and scope in fast-paced product development environments. - Good leadership, communication, and stakeholder management skills. - Strong analytical and problem-solving abilities. - Proven mentorship experience — guiding QA Engineers in both manual and automation domains. - Ability to influence and advocate for quality-first principles across all stages of software delivery. - Proficiency in English (spoken and written). Benefits - Opportunity to collaborate with some of the brightest minds in the fintech space. - Work remotely from any location. - Be part of a fast-growing company that has secured its place as a leader in the industry. Important information for candidates - Apply only through our official channels. - We do not use third-party platforms or agencies for recruitment unless clearly stated. - Verify the recruiter’s identity through LinkedIn profiles. - Be cautious of unusual communication methods; we do not conduct interviews over WhatsApp, Telegram, or SMS. - Double-check email addresses; all communication will come from official company emails. - We will never request payment or financial details.