Вакансии

Location: United Kingdom; Denmark Workplace: Remote The engineering team at Chainalysis is inspired by solving the hardest technical challenges and building products that establish trust in cryptocurrencies. We're a global organization that thrives on challenging work and doing it alongside exceptionally talented teammates. Our industry evolves rapidly, and our mission is to build a flexible, AI-driven platform that automates entity resolution, optimizes data labeling pipelines, and creates predictive models that identify illicit patterns before they escalate. Our data and solutions have been used to solve some of the world's most high-profile criminal cases and grow consumer access to cryptocurrency safely. Now, by pairing the industry's most trusted blockchain data with agents that reason, investigate, and act, we help our customers scale their workflows as the cryptocurrency economy becomes increasingly mainstream. The Protocols team delivers high-quality, low-latency blockchain datasets that serve as the trusted foundation for Chainalysis’ investigation, compliance, data and security products. We currently support more than 30 blockchains, translating on-chain data into actionable intelligence. In this role, you’ll: - Architect and evolve scalable, reliable, and performant systems for ingesting and parsing complex blockchain data. - Leverage AI-native engineering workflows (LLMs, automated agents) to increase team velocity and code quality. - Provide blockchain protocol expertise (EVM, UTXO, etc.) to the team and cross-functional stakeholders. - Manage the full software development lifecycle, including production monitoring, debugging, and maintaining reliability of our pipelines and services. - Work closely with Product Managers to ensure our datasets meet the evolving needs of the crypto ecosystem. - Guide junior and mid-level engineers through code reviews, design docs, and technical mentorship. We’re looking for candidates who have: - Extensive experience building distributed systems or data-intensive applications. - Experience working with TypeScript either in a professional or personal capacity - A bias to ship and the ability to iterate quickly in a fast-moving environment. - Demonstrated ability to leverage AI assisted development tools to increase velocity while maintaining reliable, maintainable code. - A deep understanding and experience of at least one Blockchain protocol You might also have: - Knowledge and experience with non-EVM chains such as Solana, TON, and Sui. - Experience with indexing and ETL at scale (Spark/Databricks). - Knowledge of Infrastructure as Code (Terraform) and managing services in Kubernetes. - Contributions to open-source blockchain projects. Technologies we use: - Languages: Java, TypeScript - Data Processing: Spark, Databricks, PostgreSQL - Infrastructure: AWS (Serverless & EKS), Kubernetes, Terraform - CI/CD: GitHub Actions AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Location: Hong Kong We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. About the Team The Digital Sculpting team brings Hasbro’s characters and iconic brands to life through world-class 3D sculpting and craftsmanship. We combine artistry with technical expertise, shaping likeness, anatomy, proportion and detail into production-ready designs for toys and collectibles. Working closely with Engineering, Model Shop and manufacturing partners, we turn digital creations into physical products made to be loved, played with and collected. Job Overview The Manager, Digital Product Design is a creative and technical leader responsible for driving the digital sculpting vision for licensed and owned consumer products. This role oversees the development of high-quality digital sculpts from concept through production, ensuring accurate character likeness, manufacturability, and adherence to licensor requirements. The Manager will lead and mentor a team of digital sculptors, manage external vendor relationships, and collaborate cross-functionally with design, engineering, and development teams to deliver world-class products on schedule. Location and Work Arrangement This role is based at our Hong Kong office and follows a hybrid schedule designed to support in-person collaboration. Employees are expected to work onsite on Tuesdays, Wednesdays, and Thursdays, with the flexibility to work remotely or onsite on Mondays and Fridays. What You'll Do Creative & Technical Leadership Lead digital sculpting development for licensed and owned brands across multiple product lines. Establish and uphold best practices for digital sculpting workflows, tools, and asset management. Ensure sculpted assets meet creative intent, licensor guidelines, engineering constraints, and manufacturing requirements. Demonstrate expert-level ability to capture accurate character likeness and translate 2D reference into compelling 3D sculpts. Candidates must demonstrate excellent English proficiency, with strong fluency in both Mandarin and Cantonese. Bachelor of Fine Arts (BFA) or equivalent degree in a digital medium, including Visual Effects, Animation, Game Development, or related field. Minimum of 10 years of professional experience in digital sculpting for consumer products; toy industry experience strongly preferred. Expert-level proficiency in ZBrush with a strong portfolio demonstrating original consumer product development. Deep understanding of engineering principles and consumer products manufacturing processes related to sculpted assets and production tooling. Proven experience capturing accurate character likeness for licensed figure development. Demonstrated ability to manage multiple projects simultaneously in a fast-paced environment with changing priorities. Strong leadership, communication, and organizational skills. Team Management & Development Manage, mentor, and develop a team of digital sculptors, providing creative direction, technical guidance, and performance feedback. Balance team workloads across multiple projects with shifting priorities and timelines. Foster a collaborative, supportive, and growth-oriented team culture. Cross-Functional Collaboration Partner closely with Design, Engineering, Model Shop, Project Management, and Global Development teams to ensure seamless product execution. Communicate project status, risks, and milestones clearly to internal stakeholders. Ensure projects remain on schedule and aligned with licensor approvals and deliverables. Vendor & External Partner Management Develop, manage, and maintain a global network of external sculpting and prototyping vendors. Review and provide feedback on vendor work to ensure quality, consistency, and adherence to brand standards. Support sourcing strategies related to digital sculpting and model development. Process & Program Development Drive continuous improvement in digital sculpting processes, tools, and documentation. Lead the development and management of an internship program in partnership with local colleges and universities, including recruitment, mentorship, and curriculum alignment. What You'll Bring Experience working with major licensed brands and licensors. Familiarity with downstream manufacturing processes including, paint operations, and mass production. Experience building or scaling creative teams and internship programs. Knowledge of additional 3D software platforms and digital production pipelines. Who We Are We’re a team of creators, storytellers, and innovators united under the Hasbro family and home to beloved brands, AAA digital games studios and immersive experiences that spark imagination across generations. Together, we’re committed to a culture rooted in creativity, excellence, curiosity, and inclusion, and where every employee is empowered to think boldly, act with integrity, and spark joy for all. Hasbro About the Company – Hasbro Wizards of the Coast Who We Are – Wizards of the Coast Equal Opportunity Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status. Accommodations If you have a disability and need reasonable accommodation during the hiring process, please inform your recruiter anytime throughout the process. Notice Regarding Hasbro’s use of AI in the Recruitment Process We use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements. How it works: Talent Matching compares information from your resume and application responses with job-related criteria established and weighted by Hasbro’s recruiting and hiring teams. Depending on the role, these criteria may include relevant skills, work experience, prior job titles, and industry experience. The tool then assigns a match category to help organize applications for review. Human oversight: Talent Matching supports — but does not replace — human review. It does not automatically advance or reject candidates or make employment decisions. Hasbro’s recruiters and hiring managers review applications and remain responsible for all hiring decisions. Greenhouse has published the results of an independent bias audit of Talent Matching. View the Greenhouse Talent Matching audit results . Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Location: Los Angeles, USA Riot’s Data Engineers harness petabytes of data and state-of-the-art processing technologies to build products that elevate the player experience at massive scale. Turning this data into meaningful insights is a complex challenge, and our engineers meet it by staying deeply player-focused and collaborating across diverse teams to improve the lives of millions of players worldwide. As a Principal Data Engineer supporting Riot’s Central Product Insights, you will design, build, and maintain scalable data pipelines and models that power critical data products, including centralized player data models, and publishing activity data systems. These systems support understanding of player onboarding funnels, engagement patterns, support efficiency, and content effectiveness. You will collaborate with product managers, analysts, and engineers to ensure our data infrastructure is reliable, performant, and directly tied to delivering better player experiences. Responsibilities: Design, build, and optimize scalable ETL pipelines for structured and semi-structured data supporting Insights use cases, growth metrics, and other publishing/marketing focused data sets. Design and implement data models using industry best practices that capture a complete ecosystem view of in- and out-of-game experiences, while ensuring accuracy, scalability, and long-term usability. Architect and implement robust, maintainable, and high-performance data solutions. Automate workflows to reduce manual intervention and enhance data processing efficiency, including automation for content, growth, and pubsports areas of coverage. Mentor data engineers across all levels, setting best practices and fostering technical growth. Optimize query performance and resolve pipeline bottlenecks to improve data accessibility. Evaluate and adopt new tools, frameworks, and methodologies to advance data engineering capabilities. Support cost optimization by ensuring scalable and efficient data solutions. Ensure data quality, governance, and compliance with regulatory standards (e.g., GDPR, CCPA). Contribute to Riot’s Data Engineering discipline shaping infrastructure, craft standards, tooling, and organizational best practices Required Qualifications: Bachelor's or Master’s degree in Computer Science, Information Systems, Engineering, or a related field. 8+ years experience in tech-focused Publishing or Marketing fields. 8+ years experience in data engineering or a related field. Strong Expertise in big-data technologies, including Python, GoLang, Spark, Scala, SQL, and tools like Airflow and dbt. Proficiency in cloud infrastructure (AWS or GCP) and Databricks. Expertise in designing efficient and scalable data models with large data sets across multiple teams and in collaboration with insights or data stakeholders. Demonstrated ability to work cross-functionally with engineering, analytics, and product teams. Proven experience mentoring and guiding other engineers. Desired Qualifications: Experience in gaming, large consumer platforms, or systems leading data modernization or transformation initiatives in a complex environment Track record improving data maturity ( e.g. SLI’s/SLO governance, reliability standards) Experience designing semantic layers or standardized business metric frameworks Background supporting advanced analytics use cases in high velocity product environments Demonstrated ability to influence standards across teams in a matrixed organization For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

Location: Remote - Bengaluru, India MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data. The Field Architect role at MinIO is a senior customer-facing technical leadership position focused on defining, validating, and guiding AIStor architectures for AI, analytics, cloud-native applications, and large-scale data infrastructure. You will serve as a trusted technical advisor to customers, partners, and internal teams, translating business and application requirements into robust technical designs that deliver measurable outcomes. You will collaborate closely with the broader MinIO team to ensure customers are successful through technical discovery, architecture design, proof-of-value execution, production onboarding, performance validation, and long-term expansion. Success in this role requires deep technical curiosity, hands-on architecture skills, strong communication, and the ability to connect AIStor’s capabilities to the data-intensive workloads that matter most to our customers. What You Will Do: Technical Leadership & Architecture Technical Architecture and Discovery: Lead technical discovery with customers and partners to understand their business goals, application requirements, data architecture, infrastructure constraints, and success criteria. Define scalable AIStor architectures that map directly to those requirements. AI and Analytics Workload Design: Define and validate AIStor architectures for AI/ML training and inference, analytics platforms, data lakehouse environments, high-performance data pipelines, large object workloads, and modern application data services. Object Storage and S3 Expertise: Serve as a subject matter expert in object storage, S3-compatible architectures, distributed systems, metadata, replication, erasure coding, security, performance tuning, and large-scale namespace design. Customer Engagement & Advisory Customer Technical Advisor: Build trusted relationships with customer technical stakeholders, including infrastructure, platform, analytics, AI, security, application, and operations teams. Guide customers toward informed architecture decisions and proactively identify opportunities to improve performance, resilience, scale, and operational efficiency. Proof-of-Value Execution: Lead technical evaluations, system configurations, performance testing, interoperability validation, and proof-of-value engagements that demonstrate AIStor’s value in real customer environments. Customer Success Beyond the Win: Partner with Customer Engineering, Product Management, and Engineering teams to help customers move from evaluation to production and from initial deployment to broader adoption across additional workloads, teams, and use cases. Ecosystem, Enablement & Field Operations Cloud-Native and Kubernetes Guidance: Provide technical leadership on Kubernetes, containers, automation, and cloud-native deployment patterns, including hybrid cloud, private cloud, public cloud, and edge infrastructure models. Solution Integration and Ecosystem Collaboration: Work with technology partners, reseller partners, and customer teams to support complete solutions involving analytics engines, AI platforms, Kubernetes distributions, data protection tools, identity systems, observability platforms, and public cloud services. Technical Presentations and Enablement: Build and deliver compelling architecture presentations, whiteboard sessions, demonstrations, best practices, workshops, and technical enablement sessions for customers, partners, and internal teams. RFP, RFI, and Technical Response Support: Contribute to or lead technical portions of RFPs, RFIs, RFQs, security reviews, architecture questionnaires, and competitive evaluations. Product Intelligence & Market Expertise Product and Engineering Feedback: Advocate for customer requirements internally by capturing field feedback, competitive insights, workload patterns, integration needs, and enhancement opportunities. Work with Product and Engineering teams to help inform roadmap priorities and improve customer outcomes. Competitive and Market Expertise: Stay current on object storage, data lakehouse, AI infrastructure, analytics, Kubernetes, cloud, and competitive storage trends. Help internal teams and customers understand where AIStor is differentiated. Your Skills and Experience: Strong background in enterprise storage, object storage, distributed systems, cloud infrastructure, data platforms, or high-performance data-intensive applications. Strong understanding of object storage concepts and S3-compatible architectures; experience with HTTP, REST APIs, JSON, security models, replication, data protection, and scale-out system design is highly valuable. 10+ years of experience in a senior customer-facing technical role such as Field Architect, Solutions Architect, Sales Engineer, Systems Engineer, or Technical Consultant. Hands-on experience with Linux, networking, storage systems, virtualization, containers, Kubernetes, and modern data center infrastructure. Experience designing or supporting AI, machine learning, analytics, data lakehouse, or large-scale data pipeline environments. Familiarity with ecosystem technologies such as Databricks, Starburst, Spark, Trino, Iceberg, Delta Lake, Kafka, PyTorch, TensorFlow, or other AI and analytics frameworks is a strong plus. Experience with public cloud and hybrid cloud environments, including AWS, Azure, GCP, OCI, or private cloud platforms. Ability to conduct technical discovery, design architectures, build demonstrations, guide proof-of-value execution, analyze performance, and communicate tradeoffs clearly. Comfortable working with heterogeneous enterprise environments involving compute, storage, networking, security, identity, observability, backup, disaster recovery, and application teams. Strong verbal, written, whiteboarding, and presentation skills, with the ability to communicate complex technical concepts to both technical and executive audiences. Ability to work collaboratively across customers, partners, Sales, Product, Engineering, and Customer Engineering teams. Strong customer-success orientation, intellectual curiosity, sense of ownership, and ability to prioritize effectively in a fast-moving environment. Willingness to travel as needed to support customers, partners, field events, and internal team activities. Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field; equivalent practical experience will also be considered. Equal Opportunity Policy (EEO) MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Location: Remote - US Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Sr. Analytics Engineer, R&D. About the job This position is needed to advance the consistency & quality of our R&D analytics data layer and accelerate the development velocity of analysts. Our Data Science and Analytics team seeks to empower R&D to make data-backed decisions that accelerate innovation and improve product performance. You will work closely within our team and across Product & Engineering to design and maintain a robust analytics data layer that enables trusted reporting on R&D metrics. Responsibilities In this role, you’ll: Design and implement a formal analytics data layer using AWS Glue, Athena / Presto, and LookML Collaborate within the Data Science & Analytics team and across Product & Engineering to define, document, and maintain alignment on metric definition and data lineage Develop and maintain automated data reconciliation and quality checks to proactively identify and resolve discrepancies, ensuring accuracy and consistency of critical reports and dashboards Lead investigations into complex data anomalies, conduct root cause analysis, and communicate findings and solutions effectively to both technical and non-technical audiences Mentor and guide members of the data science and analytics team, establishing and enforcing best practices around data modeling, testing, documentation, and code review Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: 4-5 years of professional experience in analytics engineering, data engineering, or a related discipline Strong expertise in SQL and hands-on experience designing data models and orchestrating data pipelines using AWS Glue or similar technologies Demonstrated ability to partner with cross-functional stakeholders to codify, document, and reconcile critical business metrics, ensuring company-wide data alignment Proven track record of owning ambiguous projects from beginning to end with minimal guidance Strong technical communication and mentorship skills, with the ability to convey complex concepts to a range of audiences Desired: 5+ years of professional experience in analytics engineering, data engineering, business intelligence, or a related discipline–ideally in a B2B SaaS environment Expertise in Python; distributed computing technologies like Hive, Presto, and Spark; and dashboarding tools like Looker or Tableau Proven track record of implementing robust data quality and testing frameworks, including expertise with dbt tests, CI/CD, and data observability Experience evangelizing and establishing data culture and best practices within a fast-paced technology organization Location This role will be remote, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation *Please note this role is open to candidates outside of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State. The information below is provided for candidates hired in those locations only. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $141,520.00 -- $176,900.00 Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $149,840.00 - $187,300.00. Based in the San Francisco Bay area, California: $166,400.00 - $208,000.00 This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Applications for this role are intended to be accepted until 8/10/2026, but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: Worldwide Workplace: remote We are looking for a Data Governance Analyst to join our team.RequirementsBusiness Metrics & Data Governance: experience documenting and standardizing business metrics, KPIs, business glossary, and business logic to establish a single source of truth across the organization.Data Quality: hands-on experience translating business requirements into measurable Data Quality rules and implementing automated validation using Great Expectations, Soda, dbt Tests, or similar frameworks.SQL & Python: strong SQL and Python skills for data validation, automation, framework development, and root cause analysis of data quality issues.Metadata Management: experience with data catalog and metadata management platforms (OpenMetadata, DataHub, or similar) to maintain metadata, lineage, and documentation.Data Governance Principles: solid understanding of Data Governance, Data Stewardship, Data Lineage, Metadata Management, and Data Lifecycle Management to support scalable governance practices.AI: practical experience using AI tools to automate workflows, improve productivity, and enhance data analysis and documentation processes.Nice to haveExperience with streaming technologies (Kafka, Spark, Flink).Experience with orchestration tools (Airflow, Dagster) and CI/CD.Experience with semantic/metrics layer tools (dbt Semantic Layer, Cube, LookML).Knowledge of data privacy and security standards (GDPR, CCPA).Previous experience in iGaming or FinTech.ResponsibilitiesDefine and standardize business metrics, KPIs, and business glossary together with stakeholders to ensure consistent business definitions across the company.Drive Data Governance adoption by introducing standards, best practices, and governance processes across data domains.Design and develop the company's Data Quality framework, including validation rules, monitoring, and quality standards to improve data reliability.Implement and maintain automated Data Quality checks and anomaly detection to proactively identify and resolve data issues.Build and manage the data catalog, metadata, and data lineage to improve data discoverability and transparency.Collaborate with Data Engineers to integrate Data Quality controls into data pipelines and investigate data inconsistencies across systems.We offer:High salary (plus performance bonuses and salary revision);Remote work;Work schedule: Mon-Fri (8 hours per day) with flexible starting hours;24 days holiday leave;Corporate English lessons;Exciting work challenges that allow you to grow to your full potential;A strong team of like-minded professionals who will be by your side to accomplish ambitious projects, stimulate your professional development and bring experience.

Location: Singapore About the Company Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team. The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant. Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive. About the Role Our client is seeking a Principal Machine Learning Engineer to build and deploy production-grade machine learning systems that power its AI platform. This role focuses on translating research into scalable solutions by developing robust training pipelines, inference systems, evaluation frameworks, and deployment infrastructure. Working closely with research and application engineering teams, this position will play a key role in delivering reliable, high-performance ML systems that operate effectively under real-world production constraints. Key Responsibilities Build and own end-to-end machine learning pipelines covering data processing, model training, evaluation, inference, and deployment. Fine-tune and adapt models using modern techniques such as LoRA, QLoRA, Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), and model distillation. Design and operate scalable inference systems while balancing latency, cost, and reliability. Develop and maintain data pipelines for both synthetic and real-world training datasets. Build evaluation frameworks to assess model performance, robustness, safety, and bias in collaboration with research teams. Optimize production deployments through GPU optimization, memory efficiency, latency reduction, and scaling strategies. Collaborate with application engineering teams to integrate machine learning systems into backend, mobile, and desktop applications. Continuously improve ML systems through rapid iteration and real-world performance monitoring while balancing production constraints such as latency, cost, reliability, and safety. Requirements Strong background in deep learning and transformer-based architectures. Hands-on experience training, fine-tuning, or deploying large-scale machine learning models in production. Proficiency with modern machine learning frameworks such as PyTorch or JAX . Experience with distributed training and inference frameworks, including technologies such as DeepSpeed, FSDP, Megatron, ZeRO, or Ray . Strong software engineering skills with experience building robust, maintainable, production-grade systems. Experience optimizing GPU workloads, including memory efficiency, quantization, and mixed precision. Ability to independently own end-to-end machine learning systems in fast-moving environments. Strong problem-solving skills with a focus on rapid iteration and continuous improvement. Preferred Qualifications Experience with one or more of the following is preferred: LLM inference frameworks such as vLLM, TensorRT-LLM, or FasterTransformer Open-source contributions to machine learning or systems libraries Scientific computing, compiler technologies, or GPU kernel development Reinforcement Learning from Human Feedback (RLHF) pipelines, including PPO, DPO, or ORPO Training or deploying multimodal or diffusion models Large-scale data processing frameworks such as Apache Arrow, Spark, or Ray

Задачи: — Производить архитектурные предложения и принимать решения по развитию платформы и новым функциям. — Выполнять полный цикл разработки функций: дизайн, кодирование, тестирование и деплой. — Сотрудничать с продуктовыми командами для анализа технической осуществимости и информирования продуктовых решений. — Наставлять младших инженеров через код-ревью, парное программирование и обсуждения дизайна. — Вносить вклад в операционные руководства и надежность системы через реагирование на инциденты и анализ после них. — Обеспечивать соблюдение методологий разработки и выявлять улучшения в кодовой базе, инструментах и процессах. Требования: — 5-7 лет опыта в разработке ПО, из них около 2 лет на уровне senior. — Сильное владение JVM-языками (предпочтительно Kotlin, Java или Scala). — Экспертиза в архитектуре микросервисов, RESTful API и паттернах распределенных систем. — Опыт работы с GCP или другими крупными облачными провайдерами (AWS, Azure) и контейнеризацией (Docker, Kubernetes). — Практический опыт с реляционными базами данных (Postgres) и моделированием данных. — Практический опыт использования AI-инструментов (ChatGPT, Claude, Cursor, Copilot) и prompt engineering для задач разработки. Будет плюсом: — Опыт работы с потоковыми данными и технологиями обмена сообщениями, такими как Kafka, Spark или Storm. Условия: — Совместная работа в поддерживающей команде профессионалов. — Возможность построить и развить надежную облачную инфраструктуру с нуля. — Акцент на техническое лидерство и наставничество.

Location: San Salvador, El Salvador Workplace: fully Must Love Dogs!! At Tribe Wellness, we're more than just a tribe – we're a movement. Rooted in courage, empowerment, and integrity, we've pioneered solutions that transform the world's wellness brands into revenue-generating machines. We bridge the gap between brands and revenue by turning our clients’ customers into lifetime supporters, and we do that by turning good salespeople into great salespeople. At Tribe Wellness Sales, we’re on a mission to help pets live longer, healthier lives through supplements that actually deliver. But here’s the catch: too many pet owners grab a product online and then flounder—unsure how to use it or missing the guidance to make it work. That’s where you, our Sales Specialist (called a Protocol Review Specialist in our world), make the difference. Without you, pets miss out on better health, owners lose confidence, and our mission stalls. With you? You’re the spark that turns a purchase into a transformation—for pets and their people. What You'll Do: Sell: You’ll sell products and services for our pet client, a company built for pet owners, by pet owners, with over a million happy dogs and growing! Grow: Work with a broad range of potential customers, transforming clients’ prospects into brand loyalists. Learn: Work closely with our dedicated leaders, leveraging our top-notch training resources to master the art of selling and representing Tribe's ethos. Earn: Operate with no cap on commission, providing limitless earning potential to integrate with our operations seamlessly. Live: Work from home in a global remote environment, utilizing our communication tools and platforms. What's In It For You: Earnings: This is a commission-only role. You will have between 8 and 18 appointments scheduled for you each day (more if you want them and you are closing sales). You will earn a 20% commission on the gross margin of every sale you make. Please tell us how much you want to earn, and we will show you what it takes to get there. Each sale is between $250 and $2,500. The Tribe Tool Kit: We have a battle-tested tool kit we provide for all our sales consultants, including Rippling and Salesforce, ensuring you're primed for success the second you hit the phones. Remote Work: You’ll have the freedom of a fully remote position, allowing for a work-life balance that suits your lifestyle. Be Part of the Tribe: No matter your title, you’ll join a community that values partnership, advocacy, and growth. We believe in nurturing our team members and fostering an environment of collaboration, support, and mutual success. What We’re Looking For: Highly-driven self starters, who are motivated by growth opportunities and the drive to excel in sales. Knowledge, background, or raw passion around health and wellness. Excellent verbal and written skills, with top-notch communication skills and a knack for building genuine connections. The ability to work 40 hours per week (8 hours per day) starting at 8 AM CST. Reliable internet and equipment are required. Because this position involves frequent phone and video calls, you’ll need a setup that can support clear, uninterrupted conversations. This means you should have: A fast and reliable laptop or desktop computer, with a working mic, camera, and a headset, so you can comfortably run our call system, Salesforce, and Zoom at the same time. Ethernet connection strongly preferred because it provides the most consistent call quality. (Usually requires only an inexpensive cable you plug into your desktop/laptop and modem.) Enough dedicated internet speed to support calls and video without freezing, delays, or dropped audio. Minimum [10] Mbps download / [5] Mbps upload of dedicated bandwidth, with latency under ~150ms, jitter under ~30ms, and packet loss under ~1% . Join us if you’re ready to play a pivotal role in reshaping the world of pet health and wellness while thriving in a growth-centric global environment with amazing people. If that sounds like you, Tribe Wellness is your tribe. Apply today and work with a very different type of company. #li-remote

Location: Boston, MA, United States This is a 3-month assignment. THE ROLE: Associate Graphic Designer Location: Boston, MA The Boutiques Associate Graphic Designer is responsible for designing and developing digital and print assets to support the Rue La La & Gilt teams. We’re looking for someone with the desire to be a part of something big, the training and foundation to create outstanding work daily, a sophisticated aesthetic sense and the interest to collaborate and succeed in a dynamic retail fashion environment. You’ll be joining a team that takes pride in the excellence of everything they do, all while respecting and protecting the integrity of the world-class brands featured on-site. What you’ll accomplish… Execute on-brand design demonstrating considered layout, image composition, typography, and a sophisticated use of color palette Design a variety of assets for Boutiques, Marketing, and Acquisitions, including Boutique Main doors, advertising assets, and internal creative needs, from conceptualization through final approval Work collaboratively and constructively on each project with other members on the team including Copywriters, Marketing Managers, Art Directors, Designers, and Brand Operations Develop designs in a fast-paced environment without compromising quality, and be able to shift priorities based on changing calendars About You: At Rue Gilt Groupe, diversity enriches our passion, collaboration, kindness and innovation. We’re committed to fostering an inclusive environment where every Associate is empowered to learn, grow and bring their full self to work. Even if you don't check off every qualification in the job description, that's okay. We encourage you to apply to any role that excites you and sparks delight! We can't wait to learn more about you. 0-2 years of relevant work experience as a junior designer or as a designer in an agency or in-house creative group Skilled with imaging applications such as Adobe Photoshop, Adobe Illustrator and Adobe InDesign Experience creating and optimizing graphics for the web Great, positive attitude – we are a highly collaborative and collegial team Desire to learn new things and keep abreast of the world of fashion, style, design, retailing and ecommerce A strong portfolio showing training and potential BA in Graphic Design Bonus points for… Skills and experience with video applications such as Adobe Premiere Pro and Adobe After Effects are a plus Any photography Art Direction experience **We can’t wait to hear from you, so please submit your resume and portfolio for consideration. Submissions without portfolios will not be considered.** Expected Base Salary Range: $26 per hour Rue Gilt Groupe is committed to providing Associates with equal pay for equal work and carefully considers a wide range of compensation factors, including but not limited to, prior experience, education, certification(s), license(s), skills and expertise, location, internal equity, and other factors that are job related and consistent with business need. Our goal is to support, reward, and compensate the entire individual. Depending on role eligibility, your offer may also include bonus/commission, stock options, 401(k) participation, paid time off, medical, dental, vision and basic life insurance. Therefore, final offer amounts may vary from the amount stated. ABOUT US: Ready for the most memorable – and stylish – experience of your professional career? Then join us at Rue Gilt Groupe. Combining three complementary brands, Rue La La, Gilt, and Shop Simon, we are the premier off-price e-commerce portfolio company. Our model defined the online treasure hunt through its daily sale events allowing our customers to discover over 5,000 premium and luxury brands at prices up to 70% off full-price retail. We believe in fashion for all, sparking delight through daily discovery and shopping as an occasion to celebrate!  World-class merchandising, technology and marketing bring our shopping experience to life, and we hire world-class people to do it.  Living our values and being empowered, tenacious, passionate, collaborative, innovative, and kind is something we strive for every single day. We meet over coffee and brainstorm new ways to spark delight for our members. Volunteer on- and off-hours together. Plan some serious surprises for our coworkers, because nothing ignites innovation like a breakfast cereal buffet or an afternoon slice of cake. And we don't hesitate to use our associate discount – after all, we're as enthusiastic about style as our customers. The way we work?  It's so much more than what happens between the weekends. It empowers us to think, create, and innovate, so we can deliver the first-rate experience today's customer’s demand. Rue Gilt Groupe GDPR/CCPA Pre-Collection Notice for Job Applications: We collect personal information (PI) from you in connection with your application for employment with Rue Gilt Groupe, including identifiers, contact information, employment and education history, and related information. We use this PI for purposes related to evaluating your application and potential employment. Depending on your location, you may have rights under GDPR or U.S. state privacy laws. For additional details or if you have questions, please see our GDPR Applicant Privacy Notice and CCPA Applicant Privacy Notice or contact us at recruitingcoordinator@ruegiltgroupe.com.

Задачи: — Разрабатывать и поддерживать QA пайплайны тестирования для MWS Data Lakehouse: юнит-тесты, интеграции, end2end, производительность, безопасность. — Проектировать, писать и автоматизировать тест-кейсы. — Выполнять ручное тестирование новых фич и сложных data-сценариев. — Проводить нагрузочное и стресс-тестирование (1000+ QPS), работу с конкуренцией в StarRocks и S3-интеграциями. — Тестировать GitOps-деплойменты и корректность работы Iceberg таблиц. — Тестировать интеграции: Iceberg REST Catalog — StarRocks S3/Iceberg — Spark/Trino. — Вести баг-трекинг, писать воспроизводимые баг-репорты с логами, метриками и трассировкой данных. — Участвовать в планировании спринтов релизного цикла и тестировании тестовых и пре-прод стендов. Требования: — Гражданство и локация: РФ, РБ. — Опыт работы в качестве QA инженера 3+ лет. — Ключевые навыки и технологии: SQL, Python, Kubernetes (k8s), YAML, Spark, QA frameworks, Apache Iceberg, Allure, S3. — Опыт в методологиях обеспечения качества, организация процессов предотвращения дефектов и соблюдения стандартов разработки. — Опыт тестирования API и баз данных, знакомство с регрессионным тестированием и автоматизацией регрессии. — Внимание к деталям, аналитический склад ума, способность находить аномалии. Условия: — Формат работы: удалённо. — Зарплата: до 190 000 руб. — Полная занятость. О компании: — Более 10 лет в IT, разные виды тестирования и поддержка релизов.

Location: London The Role We are looking for a Senior Engineer to join our growing engineering team, and build out our backend third party integration systems as we scale. For us, this isn’t just about technical performance, but also supporting the internal human processes that will always power much of our product. You will work closely with Product, Operations, Customer Support, Growth and other functions to design and build out a reliable, performant, and secure platform for handling remittances across countries. As an early member of the team, we hope you will also have a lot of impact on our team culture, processes and norms. Taptap Send is a cross-platform mobile app developed with React Native and TypeScript, which talks to a backend service written in Kotlin and backed by a PostgreSQL database, all of which runs on AWS and is managed via Terraform and Ansible. This is a backend-focused role, but you will have plenty of opportunities to work across the stack to bring Taptap Send's industry-leading product to new countries.. We’re an encouraging environment that values both teamwork and autonomy, and have many exciting upcoming challenges, including: scaling up to handle increased volume and complexity, helping our analysts derive business and product insights to drive growth and retention, building internal tools for our customer support and acquisition efforts, and much more!   Your Responsibilities: - Build out unified interface encapsulating dozens of third party payment integrations - Work on one of the pillar revenue centers of the organization - Take ownership of backend system architecture and implementation - Build performant and resilient data flows; keeping security in mind during every step - Work closely with product team to regularly ship working features - Work in an iterative fashion - Evaluate and deliver timeline estimates   Requirements: - 7+ years of professional experience building backend systems - Proficiency with Kotlin or Java / JVM - Proficiency with PostgreSQL - Experience with AWS: S3, SQS, SNS, Lambda, etc. - Experience implementing and managing elaborate integrations with third-party APIs - Experience working on systems that have real-world performance and reliability constraints - Experience developing software in a collaborative, multi-functional, and fast-paced environment - Strong communication and ability to manage conflicting priorities, setting expectations with stakeholders and be a driving force   Ideally: - Experience working with Infrastructure as Code technologies, like Terraform and Ansible - Experience with SRE or similar infrastructure work - Experience with Data Engineering concepts and workflows - High personal code/development standards (code review, unit testing, documentation, etc.) About Us   We’re building the world’s leading cross-border fintech for emerging markets - empowering families, fuelling local economies, and changing how millions access financial services.   Since our launch in 2019, we have transformed how money moves across borders with our operations spanning 6 out of 7 continents and covering both the busiest and most underserved (remittance) corridors. We tapped into a massive shift - from banks to phones - bringing digital finance to places where traditional systems never reached. The next stage of growth will fuel a network of services and products especially designed to make money more accessible to diaspora communities including local cards, and additional savings and payments features.   We’re growing fast, backed by world-class investors, and scaling a product that blends real world impact with cutting edge fintech innovation.   Here’s a little more: - Founded by Harvard grads and 3-time founders who previously built Segovia (acquired) and GiveDirectly (>$300M revenue, fastest-growing NGO in the world) - Backed by top investors including Spark Capital, Canaan, Reid Hoffman, Breyer Capital, Unbound, Wamda, and more - Built by global top performers from Bain, Google, McKinsey, Uber, Checkout, Bolt, and beyond - we move fast, stay humble, and care deeply about our mission - Truly global team - 250+ people, 50+ nationalities, 50+ languages - Guided by our values - ownership, impact, humility, and heart - in deed, not just word   TAPTAP VALUES https://www.taptapsend.com/our-values Impact first Team next Accept reality Propose solutions Win with grit Be proactively candid, with yourself and others Love the particular Own it Create positive energy Maybe, even have fun   Taptap Send is an equal opportunity employer dedicated to building an inclusive and diverse workforce. All employment decisions are decided on the basis of qualifications, experience and business need. We strongly encourage applications who are members of underrepresented communities to apply. If you require reasonable adjustments to be made during the recruitment process, please do not hesitate to let us know. Any information you provide us in this respect will only be used to accommodate your requirements. Note: we recognize imposter syndrome is real - any candidate that does not perfectly fit every characteristic of this role is still strongly encouraged to apply.

Location: Boston, Massachusetts, United States We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Job Overview Ready to bring your paralegal skills to one of the world's most iconic play and entertainment companies? Hasbro is looking for a sharp, driven Paralegal with 4+ years of experience to join our Legal Department! In this role you'll be a key part of the corporate, litigation and compliance legal team. You'll partner with colleagues who handle commercial, employment, and litigation matters, and support compliance work including anti-bribery due diligence, code of conduct training, and conflict-of-interest reviews. You will also get a chance to have high visibility in the organization by assisting with corporate governance and securities compliance for a global, publicly traded company. If you like a fast pace, a high bar for accuracy, and seeing your work show up at the most senior levels of the company, this is your game! If your background looks a little different from what's described here but you can do the work, we encourage you to apply. Location and Work Arrangement This role is based at our Boston, Massachusetts office and follows a hybrid schedule designed to support in-person collaboration. Employees are expected to work onsite on Tuesdays, Wednesdays, and Thursdays, with the flexibility to work remotely or onsite on Mondays and Fridays. What You'll Do Partner with attorneys and internal business teams in litigation matters, including document and witness discovery, case management, and research in commercial, employment, product liability, privacy and other types of claims. Lead anti-bribery due diligence for global third parties, conducting risk assessments, reviewing red-flag findings, and providing formal compliance clearance to mitigate corruption, sanctions, and reputational risks. Manage and update electronic code of conduct and compliance training, ensuring alignment with evolving legal, regulatory, and business requirements. Review conflict-of-interest disclosures, assess responses that need follow-up, and work with stakeholders to resolve potential conflicts. Assist in managing outside counsel relationships, including tracking invoices, budgets, and matter status. Support corporate securities matters, including assisting with SEC filings (Forms 10-K, 10-Q, 8-K, proxy statements), Section 16 reporting, insider trading compliance, and maintenance of the corporate disclosure calendar. Assist with corporate governance functions, including preparing board and committee materials, maintaining minute books, tracking director and officer information, and supporting annual meeting preparations. Draft, review, and manage a broad range of commercial agreements, including vendor contracts, NDAs, services agreements, and other transactional documents; assist with maintaining contract management systems and track key deadlines and renewals. Research federal and state securities regulations and commercial law developments to support attorney advice and strategy. Respond to legal inquiries from Finance and business partners regarding securities compliance and contract obligations. What You'll Bring 4+ years of relevant paralegal experience in a law firm or in-house legal department. Strong interpersonal skills, sound judgment, and commitment to teamwork. Ability to work effectively with attorneys, finance, and business managers at all levels. Demonstrated ability to prioritize a substantial and diverse workload and meet deadlines in a fast-paced environment. Advanced proficiency in Microsoft 365 (Word, Excel, PowerPoint, Outlook, SharePoint, Teams) and external platforms such as Workiva, Diligent, LRN and Docusign. Exceptional organizational, analytical, and written communication skills with the ability to handle sensitive and confidential information with discretion. Ability to be forward-looking and to develop new processes or adjust existing processes, as needed. What Sets You Apart Associate's Degree or Paralegal Certificate preferred; Bachelor's Degree a plus. Paralegal experience spanning corporate securities or commercial transactions in a law firm or in-house legal department. Expertise in anti-bribery and corruption due diligence, including risk assessments, red-flag analysis, and compliance clearance for third-party engagements. Who We Are We’re a team of creators, storytellers, and innovators united under the Hasbro family and home to beloved brands, AAA digital games studios and immersive experiences that spark imagination across generations. Together, we’re committed to a culture rooted in creativity, excellence, curiosity, and inclusion, and where every employee is empowered to think boldly, act with integrity, and spark joy for all. Hasbro About the Company – Hasbro Wizards of the Coast Who We Are – Wizards of the Coast Equal Opportunity Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status. Accommodations If you have a disability and need reasonable accommodation during the hiring process, please inform your recruiter anytime throughout the process. Notice Regarding Hasbro’s use of AI in the Recruitment Process We use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements. How it works: Talent Matching compares information from your resume and application responses with job-related criteria established and weighted by Hasbro’s recruiting and hiring teams. Depending on the role, these criteria may include relevant skills, work experience, prior job titles, and industry experience. The tool then assigns a match category to help organize applications for review. Human oversight: Talent Matching supports — but does not replace — human review. It does not automatically advance or reject candidates or make employment decisions. Hasbro’s recruiters and hiring managers review applications and remain responsible for all hiring decisions. Greenhouse has published the results of an independent bias audit of Talent Matching. View the Greenhouse Talent Matching audit results . The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $73,600 — $110,400 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Location: United States Workplace: Remote About the team The Cloud Scaling team is dedicated to implementing robust capabilities within the ClickHouse cloud environment. We seek exceptional software engineers to develop and maintain the infrastructure to transform ClickHouse into a fully functional serverless database solution. Collaborating closely with the core database team, we are actively working on evolving ClickHouse into a cloud-native database system. Additionally, we engage with other cloud teams to drive continuous improvements in cloud infrastructure for enhanced performance and scalability. What will you do? - Build a cutting-edge cloud-native database platform on top of the public cloud. - Work on our in-house Kubernetes operator to support seamless infrastructure management. - Improve the metrics pipeline and build systems to generate better statistics and recommendations. - Work closely with our ClickHouse core development team and other data plane teams, partnering with them to support infrastructure use cases as well as other internal infrastructure improvements. - Architecting and building a robust, scalable, and highly available distributed infrastructure About you: - 5+ years of relevant software development industry experience building and operating scalable, fault-tolerant, distributed systems. - Production experience with programming languages like Go, C++ or Java - You are not a stranger to PagerDuty On-call, debugging things in production and are a strong problem-solver - Expertise with a public cloud provider (AWS, GCP, Azure) and their infrastructure as a service offering (e.g., EC2). - Experience with Data Storage, Ingestion, and Transformation (Spark, Kafka or similar tools). - You are passionate about solving data problems at Scale. - Experience working with distributed systems - You have excellent communication skills and the ability to work well within and across engineering teams. #LI-Remote PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as 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. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Singapore; Australia Workplace: Remote About the team The Cloud Scaling team is dedicated to implementing robust capabilities within the ClickHouse cloud environment. We seek exceptional software engineers to develop and maintain the infrastructure to transform ClickHouse into a fully functional serverless database solution. Collaborating closely with the core database team, we are actively working on evolving ClickHouse into a cloud-native database system. Additionally, we engage with other cloud teams to drive continuous improvements in cloud infrastructure for enhanced performance and scalability. What will you do? - Build a cutting-edge cloud-native database platform on top of the public cloud. - Work on our in-house Kubernetes operator to support seamless infrastructure management. - Improve the metrics pipeline and build systems to generate better statistics and recommendations. - Work closely with our ClickHouse core development team and other data plane teams, partnering with them to support infrastructure use cases as well as other internal infrastructure improvements. - Architecting and building a robust, scalable, and highly available distributed infrastructure About you: - 5+ years of relevant software development industry experience building and operating scalable, fault-tolerant, distributed systems. - Production experience with programming languages like Go, C++ or Java - You are not a stranger to PagerDuty On-call, debugging things in production and are a strong problem-solver - Expertise with a public cloud provider (AWS, GCP, Azure) and their infrastructure as a service offering (e.g., EC2). - Experience with Data Storage, Ingestion, and Transformation (Spark, Kafka or similar tools). - You are passionate about solving data problems at Scale. - Experience working with distributed systems - You have excellent communication skills and the ability to work well within and across engineering teams. #LI-Remote   PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as 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. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Global Anywhere Who We Are: Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. Your Role As a Senior Software Engineer on the Platform team, you will build and own the frameworks, tooling, and CI/CD infrastructure that let Alpaca’s engineers ship new features quickly and reliably. This is a software engineering role at its core: you will spend most of your time writing Go, designing automated test frameworks, and digging into application code and Kubernetes when needed. Just as importantly, you will help redefine how we use AI to raise the bar on quality - leveraging LLMs and AI-driven tooling to generate tests, catch regressions before they ship, and turn every incident into durable, automated coverage. We are looking for engineers who treat quality as an engineering discipline and see AI as a force multiplier for it - people who build the systems that make testing fast, reliable, and effortless for the teams that depend on them. Things You Get To Do Design and build automated test frameworks across our REST and gRPC API surface. Leverage AI and LLM-based tooling to accelerate test generation, harden regression coverage, and turn production incidents into automated tests - embedding these practices into the frameworks the whole engineering org relies on. Build and maintain CI/CD pipelines - we use a mix of GitHub Actions and Google Cloud Build. Design and execute load, stress, and scalability tests to ensure our platform can handle growing demand. Introduce chaos engineering practices - designing fault-injection and resilience experiments that surface failure modes before our customers do. Standardize tooling and infrastructure to improve the day-to-day developer experience. Partner with other teams to raise test coverage, reliability, and speed across services. Dig into application code to root-cause failures and drive fixes to completion. Mentor and guide product engineers, fostering a culture of quality and continuous improvement. Who You Are (Must-Haves) You have 5+ years of experience as a software engineer building and maintaining production systems. You have written code in strongly typed languages and have at least 1 year of experience with Go. You are fluent with AI-assisted engineering - you actively use LLM-based tools in your workflow and have a clear point of view on where they elevate quality (and where they don’t). You have built and maintained CI pipelines before - ideally with GitHub Actions or Google Cloud Build. You have designed and built automated test frameworks, and you understand the challenges microservices pose for reliable integration and end-to-end testing. You are familiar with Kubernetes beyond the basics - you can write a Helm chart for a new service with relative ease, you understand best practices around security, and you have prior job experience or certifications to prove this. You have worked at a startup before - you understand that things don’t always go according to plan, that there is significant technical debt, that some tasks just need to be done, and that sometimes there are no processes or documentation to guide your hand. You are not afraid of taking a task from start to finish - gathering requirements, figuring out and implementing the best technical solution, then deploying and monitoring the results. Who You Might Be (Bonus Points) You have used AI/LLM tooling to build QA automation - test generation, flaky-test triage, or incident-to-regression pipelines - and can speak to what worked and what didn’t. You have written code in Python or TypeScript, and can build efficient Dockerfiles and secure container images. You have implemented load tests with k6 (REST) and ghz (gRPC) and have experience analyzing pprof/trace output. You have done IaC deployments with Argo CD or Terraform, or have used Google Cloud Platform and Google Kubernetes Engine before. You are familiar with Tilt and have written a Kubernetes Operator before. You have practiced chaos engineering - running fault-injection or resilience experiments with tools like Chaos Mesh, LitmusChaos, or Gremlin. You are familiar with testing event-driven systems using Kafka (or even better, Redpanda). How We Take Care of You: Competitive Salary & Stock Options Health Benefits New Hire Home-Office Setup: One-time USD $500 Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. Recruitment Privacy Policy

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As the Engineering Manager for Model Infrastructure, you'll lead the team responsible for the platform powering every model request across Harvey. You'll partner closely with AI Research, Product Engineering, Infrastructure, and external AI providers to ensure our platform remains reliable, scalable, and cost-efficient as our business grows. Model Infrastructure is one of Harvey's most strategic engineering organizations. Every product capability—from chat experiences and agents to document workflows and future reasoning systems—depends on this platform. Over the next several years, the team will evolve beyond operating third-party models to building the infrastructure that enables Harvey to train, evaluate, deploy, and operate our own frontier AI models. This role offers the opportunity to shape the technical foundation of Harvey's AI platform and build an organization that will power the company's next phase of growth. WHAT YOU'LL DO - Lead and grow a high-performing team of software engineers responsible for Harvey's Model Infrastructure platform. - Define the technical roadmap for model reliability, scalability, and operational excellence. - Build highly reliable systems for model provisioning, capacity management, failover, and incident response across multiple AI providers. - Own Harvey's multi-provider model platform, including provider integrations, SDK upgrades, API migrations, and onboarding new model providers. - Drive the evolution of our Unified Model Controller (UMC) and Model Selector platform to automatically detect degraded models and intelligently route traffic based on health, latency, quality, compliance, and cost. - Improve observability through health dashboards, alerting, token usage analytics, cost reporting, and end-to-end model telemetry. - Partner with Product Engineering to support new model launches, capacity planning, experimentation, and proactive production monitoring. - Lead initiatives to improve inference efficiency, reduce infrastructure costs, and increase model utilization across providers. - Build the infrastructure foundation for Harvey's future model training efforts, including data pipelines, model operations, training environments, and AI platform capabilities. - Partner with executive leadership on long-term AI infrastructure strategy and vendor relationships. - Recruit, mentor, and develop exceptional engineering talent while fostering a culture of technical excellence and operational ownership. WHAT YOU HAVE - 8+ years of software engineering experience, including multiple years managing high-performing engineering teams. - Experience leading teams responsible for large-scale distributed systems or cloud infrastructure. - Strong technical background that enables you to guide architectural decisions and mentor senior engineers. - Experience operating highly available production services with strong reliability and operational excellence. - Experience building platforms that require scalability, observability, automation, and cost optimization. - Strong cross-functional leadership skills with the ability to partner effectively across Engineering, Research, Product, and external vendors. - Excellent communication skills and the ability to influence technical strategy across organizations. - A passion for building teams and developing engineering talent. NICE TO HAVE - Experience with AI infrastructure, LLM serving, or machine learning platforms. - Experience working with multiple model providers such as OpenAI, Anthropic, Azure OpenAI, Fireworks, Baseten, or open-source model ecosystems. - Experience building inference platforms, model gateways, traffic routing systems, or policy-based serving infrastructure. - Experience with Kubernetes, cloud infrastructure, distributed systems, and large-scale observability platforms. - Experience supporting GPU infrastructure, model training platforms, or ML infrastructure. - Familiarity with data platforms and technologies such as Spark, Kafka, Flink, Airflow, or Iceberg. - Experience leading organizations through periods of rapid growth and technical transformation. COMPENSATION $260,000 - $350,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-AN2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

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. On the ML Fraud team, you’ll build and improve machine learning systems that make real-time transaction decisions, protecting consumers and merchants while balancing fraud loss, customer experience, and conversion. You’ll work closely with experienced ML engineers, platform partners, and cross-functional stakeholders to take models from idea to prototype to production, and to keep them healthy with strong measurement and monitoring as fraud patterns evolve. What you’ll do - You will lead development of new fraud prediction models using a mix of approaches for tabular, graph, and behavioral data - You will build and scale feature pipelines and training datasets from proprietary and third-party signals, partnering with data and platform teams when needed. - You will prototype new modeling ideas and features, run offline experiments, and drive the best-performing approaches into production with appropriate risk controls. - You productionize models: integrate into batch and/or real-time decision systems, and improve reliability, latency, and operational robustness. - You will instrument and monitor model and data health, and help define retraining/backtesting workflows as fraud patterns evolve. - Identify and implement foundational improvements to how the team builds models. - You will collaborate across Engineering, Fraud Analytics, Product, and ML Platform to define requirements, evaluate tradeoffs, and communicate results clearly to both technical and non-technical audiences. What we look for - You have 6+ years experience researching, training, tuning and launching ML models at scale. Relevant PhD can count for up to 2 years of experience. - Track record of delivering high impact machine learning models in a low latency live setting - Strong Python skills and experience writing production-quality code. - Experience building and evaluating models for tabular classification problems (preferably gradient-boosted decision trees like LightGBM/XGBoost/CatBoost, or similar). - Experience with a deep learning framework (PyTorch preferred). - Experience working with distributed data processing or parallel compute frameworks (Spark preferred; Ray/Dask or similar). - Experience with ML lifecycle tooling for training orchestration, experimentation, and model monitoring (e.g., Kubeflow, Airflow, MLflow, or equivalent internal platforms). - Proficient in using AI-powered developer tools (e.g., Claude Code, Cursor, or similar) to accelerate iteration, debugging, and code quality as part of day-to-day development workflows. - You have mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood, well tested and extensible code. - You are comfortable navigating a large code base, debugging others' code, and providing feedback to other engineers through code reviews. - 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. 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.