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Location: United States; Canada; Mexico; Costa Rica; Panama; Guatemala About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking a highly skilled Machine Learning Research & Engineering Specialist to contribute to an advanced AI training project focused on model development, training and inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring hands-on experience with Python, machine learning engineering, and coding agents integrated into development workflows. You will build, modify, debug, and validate machine learning implementations, create reproducible training and inference pipelines, and optimize systems for correctness, memory usage, and throughput. The ideal candidate combines strong quantitative foundations with practical coding skills and experience solving complex machine learning engineering problems. SENIORITY: Experienced / Research-Level Engineer EDUCATION: Master's degree or PhD in a relevant quantitative discipline LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide Key Responsibilities Develop, implement, and validate machine learning models, training pipelines, inference systems, and supporting infrastructure. Implement or modify model components, data pipelines, evaluation systems, and numerical methods using Python. Build reproducible programmatic workflows using Python, command-line tools, and relevant machine learning frameworks. Debug numerical, algorithmic, and system-level failures to identify root causes and implement reliable solutions. Optimize model training and inference for memory usage, computational efficiency, throughput, and performance. Design and execute tests to verify implementation correctness and compliance with objective performance requirements. Review and validate challenging machine learning engineering tasks, including existing code and proposed solutions. Use coding agents as part of the development workflow to accelerate implementation, debugging, testing, and code review while validating generated results. Document technical approaches, implementation decisions, test results, and performance findings clearly. Deliver high-quality, reproducible task submissions within project deadlines. Requirements Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline. Strong professional or research experience in machine learning and practical ML engineering. Strong Python programming skills, including the ability to implement, debug, test, and optimize non-trivial code. Hands-on experience using coding agents within a Python development workflow. Understanding of machine learning model development, training and inference workflows, and evaluation methods. Ability to build reproducible implementations and verify correctness through systematic testing. Strong quantitative reasoning and problem-solving skills, particularly when diagnosing numerical or computational issues. Ability to work independently, manage technical tasks, and meet defined quality and submission requirements. Strong written communication skills and the ability to explain technical findings. Availability to contribute approximately 15 hours per week and begin the first task within 24–48 hours after onboarding.

Location: Brazil; Argentina; Colombia; Chile; Peru; Uruguay About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking a highly skilled Machine Learning Research & Engineering Specialist to contribute to an advanced AI training project focused on model development, training and inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring hands-on experience with Python, machine learning engineering, and coding agents integrated into development workflows. You will build, modify, debug, and validate machine learning implementations, create reproducible training and inference pipelines, and optimize systems for correctness, memory usage, and throughput. The ideal candidate combines strong quantitative foundations with practical coding skills and experience solving complex machine learning engineering problems. SENIORITY: Experienced / Research-Level Engineer EDUCATION: Master's degree or PhD in a relevant quantitative discipline LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide Key Responsibilities Develop, implement, and validate machine learning models, training pipelines, inference systems, and supporting infrastructure. Implement or modify model components, data pipelines, evaluation systems, and numerical methods using Python. Build reproducible programmatic workflows using Python, command-line tools, and relevant machine learning frameworks. Debug numerical, algorithmic, and system-level failures to identify root causes and implement reliable solutions. Optimize model training and inference for memory usage, computational efficiency, throughput, and performance. Design and execute tests to verify implementation correctness and compliance with objective performance requirements. Review and validate challenging machine learning engineering tasks, including existing code and proposed solutions. Use coding agents as part of the development workflow to accelerate implementation, debugging, testing, and code review while validating generated results. Document technical approaches, implementation decisions, test results, and performance findings clearly. Deliver high-quality, reproducible task submissions within project deadlines. Requirements Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline. Strong professional or research experience in machine learning and practical ML engineering. Strong Python programming skills, including the ability to implement, debug, test, and optimize non-trivial code. Hands-on experience using coding agents within a Python development workflow. Understanding of machine learning model development, training and inference workflows, and evaluation methods. Ability to build reproducible implementations and verify correctness through systematic testing. Strong quantitative reasoning and problem-solving skills, particularly when diagnosing numerical or computational issues. Ability to work independently, manage technical tasks, and meet defined quality and submission requirements. Strong written communication skills and the ability to explain technical findings. Availability to contribute approximately 15 hours per week and begin the first task within 24–48 hours after onboarding.

Location: United Kingdom; Germany; Poland; South Africa; United Arab Emirates; Egypt About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking a highly skilled Machine Learning Research & Engineering Specialist to contribute to an advanced AI training project focused on model development, training and inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring hands-on experience with Python, machine learning engineering, and coding agents integrated into development workflows. You will build, modify, debug, and validate machine learning implementations, create reproducible training and inference pipelines, and optimize systems for correctness, memory usage, and throughput. The ideal candidate combines strong quantitative foundations with practical coding skills and experience solving complex machine learning engineering problems. SENIORITY: Experienced / Research-Level Engineer EDUCATION: Master's degree or PhD in a relevant quantitative discipline LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide Key Responsibilities Develop, implement, and validate machine learning models, training pipelines, inference systems, and supporting infrastructure. Implement or modify model components, data pipelines, evaluation systems, and numerical methods using Python. Build reproducible programmatic workflows using Python, command-line tools, and relevant machine learning frameworks. Debug numerical, algorithmic, and system-level failures to identify root causes and implement reliable solutions. Optimize model training and inference for memory usage, computational efficiency, throughput, and performance. Design and execute tests to verify implementation correctness and compliance with objective performance requirements. Review and validate challenging machine learning engineering tasks, including existing code and proposed solutions. Use coding agents as part of the development workflow to accelerate implementation, debugging, testing, and code review while validating generated results. Document technical approaches, implementation decisions, test results, and performance findings clearly. Deliver high-quality, reproducible task submissions within project deadlines. Requirements Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline. Strong professional or research experience in machine learning and practical ML engineering. Strong Python programming skills, including the ability to implement, debug, test, and optimize non-trivial code. Hands-on experience using coding agents within a Python development workflow. Understanding of machine learning model development, training and inference workflows, and evaluation methods. Ability to build reproducible implementations and verify correctness through systematic testing. Strong quantitative reasoning and problem-solving skills, particularly when diagnosing numerical or computational issues. Ability to work independently, manage technical tasks, and meet defined quality and submission requirements. Strong written communication skills and the ability to explain technical findings. Availability to contribute approximately 15 hours per week and begin the first task within 24–48 hours after onboarding.

Location: Chicago, IL In a nutshell: IDEO Chicago is seeking an Experience Specialist to support the success of design teams and our studio’s internal community from both an operational and cultural perspective. You’ll use your insight and curiosity about needs and challenges to stay a few steps ahead and elevate the bar for how we execute on the client and community experience. It’s not enough for our values* and belief in design excellence to surface only in the work we do with clients. We expect that the look and feel of our workplace, and the experiences we host at IDEO, will reflect our brand authentically as well. Our Experience Team treats large and small “moments” with equal potential to inspire people. Sometimes this means planning ahead for formal events in order to deliver signature interactions. Sometimes it means shifts in furniture or protocols that refresh our state of mind on a daily basis. Our Experience Team has a “no task too big or small” attitude with a natural inclination to pitch in and get our hands dirty (sometimes literally). We expect the Experience Specialist to have a “no task too big, no task too small” attitude with a natural inclination to get their hands dirty (sometimes literally). Once you are here you will: Contribute to the day-to-day running of the office (calendaring, hospitality, logistics, supplies, studio environment), in a hands-on manner, in collaboration with the Experience Team and others. Be present in the studio to ensure timely preparation, set-up, and coordination of meetings and events (sometimes past normal working hours). Help prioritize requests for meetings, rooms, and catering and resolve conflicts when necessary. Help design and coordinate on-brand, hospitality-focused experiences for clients, guests, and colleagues. Build relationships and a local network especially with caterers, local restaurants, and other food vendors to grow resources for outstanding experiences. Welcome clients and visitors by helping to coordinate their travel and logistics. Relevant experience: At least 2-3  years of experience in a related role. Experience in hospitality, theatre or stage production or a “concierge” type of role in a design studio, creative consultancy or corporate environment. Excellent coordination, time management and organizational skills. Natural ability to prioritize tasks. Success at managing a high-volume of responsibility in a fast-paced environment. A “no job too small” mentality. Enthusiasm for collaborating with a variety of personalities and work styles. Proficient with standard cloud based applications (Google Apps). Helpful and empathetic, able to think and react on your feet. Calmness and resilience, comfortable with handling tasks and meeting deadlines in a fast-paced environment. Interest in working in a creative environment. *IDEO Values are: Be Optimistic, Collaborate, Take Ownership, Embrace Ambiguity, Talk Less, Do More, Learn from Failure, and Make Others Successful. What does IDEO offer you? IDEO is a place where you can solve diverse, complex challenges for our clients and their organizations, alongside thoughtful, intelligent individuals who lead with curiosity, empathy, and humility. We intentionally craft moments that allow our community to pause, create, and connect. We encourage our community to bring their whole selves to work, respect the need for work-life balance, and allow for autonomy in the design process and your career. Payscale & Benefits IDEO is committed to paying its employees, contractors & vendors equitably, regardless of gender identity or race/ethnicity/cultural identity. The role is in-person Monday - Friday 10am to 2pm daily . The hourly range for this role is based on candidate experience, location, and other factors. If this role converts into a full-time position, this role is eligible for employee benefits. Application instructions: If you identify with our values and would love to contribute to our office, please submit your resume and cover letter.

Location: London, United Kingdom Senior Business Development Associate In a Nutshell Senior Business Development Associates bring ideas, initiatives, and activities that help grow our business day in and day out. They join, support, and collaborate with teams focused on specific opportunities, ensuring that the pursuit of new business is rigorous, disciplined, and ethical. They collaborate closely to craft strategies and plans and set the standard for creative excellence in business development. About IDEO London We're a global design consultancy where curiosity, empathy, and solving complex challenges drive us. For over 40 years, we've partnered with clients to innovate in healthcare, mobility, education, retail, and beyond. Here, every challenge is a chance to grow, connect, and create impact. Why is this role important for IDEO's work? Business Development is at the heart of connecting IDEO's creative capabilities with the people and organisations who need them. It's about more than winning new work. It's about understanding our clients' challenges, building trusted relationships, and helping shape opportunities where human-centred design can make a meaningful difference. Once Here You Will BUSINESS DEVELOPMENT PROCESS Prioritize your time to collaborate and support the London Studio in landing project work - with new and returning clients. Run pipeline meetings. Act as an IDEO ambassador and be the first touch point for new potential clients, ensuring a positive initial experience with IDEO. Lead and manage opportunity qualification, owning continuity of the BD process. Involve internal leadership and designers as needed for boosts and to help determine strategic fit, frame opportunities, scope programs and articulate next steps. Pull in director-level support as needed for advocating for client needs and negotiation support. Finalize pitch decks, learn the industries of our client leads by conducting research and editing proposal decks, and brainstorm client deliverable options and consulting solutions. Conduct client due diligence to help BD teams get smart and prepare for calls, creating intelligent discussion guides that help us start to build a relationship with potential clients from Day One. Monitor and communicate market trends and themes to teams on a monthly basis that can be used to help shape our thinking and offer. REPORTING Track quarterly goals pertaining to recognized revenue, monthly profit and yield marks, time to close, conversion rate, qualification rate, and win rate KPIs within the London Hub. Report back in the pipeline meetings, looking for ways to engage the team in the information and how they need to apply it. Be familiar with metrics that point towards the health of the business and be able to assist with ad-hoc reporting needs as assigned. Prepare a monthly summary of insights and thought leadership (from IDEO and beyond), including how it applies to day-to-day business, to share with key clients as a value add. DATA INTEGRITY Work with the Director/Enterprise team to ensure the CRM system is kept up to date, including our pipeline and pre-pipeline in Hubspot. Ensure that relevant documents related to BD are being stored and filed accordingly in the BD section of Google Drive (not on personal drives or Slack!). Appropriately loop in Legal, Marketing, Finance, and other functions as needed to progress an ongoing BD process. Build and maintain lists in Hubspot and LinkedIn Sales Navigator: who are our key clients, our lapsed clients, our warm contacts, the cold contacts we want to reach? Who’s engaging with our newsletters, with our LinkedIn, etc? Provide recommendations on how we might reach out to these folks. PROGRAM MANAGEMENT Exercise project management tactical skills by effectively steering the BD process for new and existing work. Proactively identify and take action on the business development process and client needs based on what we’re hearing and seeing in the pipeline meetings. Coordinate meetings with potential leads, ensure prompt and adequate follow-ups, manage legal agreement workflows, coordinate proposal research across teams, and ensure continual progress to meet client deadlines. Help the team balance meeting the needs of existing clientele with prioritizing time for proactive outreach to land new clients. Own and project manage lead generation activities, such as BD-specific mailers to LON Hub mailing lists. Support account planning activities to drive a proactive, consistent approach to client investment and development. Support the deployment of the right expertise and experience from within the hub team towards client pursuits COMMUNICATION Demonstrate persuasive and effective communication and presentation skills along with the confidence to command a room for the client and network-building meetings or events. Contribute to providing excellent team and client communication and collaboration that shows an understanding of leading with empathy, openness, and curiosity. Empower other team members to consistently gather and share inspiration, work, and learnings with teams and clients. This should come through leading by example as well as having a knowledge management system where folks can exchange and store content. Strengthen existing assets and develop new ones in collaboration with subject matter experts. Work with LON Hub Marketing to stay abreast of competitors and any impact that industry and economic changes and movements might have on our go to market positioning and offer. NETWORK BUILDING Demonstrate knowledge of the different approaches across each of our three offer sets, and understand the different areas of expertise of our design disciplines to confidently speak to our capabilities in the market. Build cross-discipline relationships across IDEO in order to effectively help generate and capture written, verbal and visual input from IDEO leadership and design teams to potential client leads. Cultivate your internal networks as well as you professional networks virtually on social media channels and live at education and industry-related associations. Support top-of-funnel growth activity including working with the Executive Director of Growth, Marketing and portfolio teams to translate targeting priorities into actionable prospect audiences and lists for campaigns, events, roadshows and other market-facing activity. EXPLORE Strengthen your foundational BD skills and capabilities, using your learning budget intentionally to build on growth opportunities identified with your business lead. Gain an understanding of GenAI and how it can support and improve the BD process, from generating client intelligence to scoring our RFP responses. Support special projects as needed and provide support on other processes and projects outside the immediate area of responsibilities as required. Assist with internal programs and initiatives to improve organizational BD efforts, as required. Be an active member of the London community, coming into the office as needed, playing a role in our core rituals, such as Tuesday Morning Meetings, participating in SASU, and attending Hub gatherings. We're looking for someone with SKILLS Minimum of 3-5 years of relevant experience in client relationship management and business development, preferably within a creative environment and/or design consultancy. Project management skills with proven ability to prioritize tasks, keep momentum and develop timelines, involve and engage stakeholders, and maintain empathy for both internal and client teams. The ability to create and deliver presentations, proposals, and other assets. Data literacy: fluent in G-suite (slides, docs, and sheets), Workday, CRM, and translating quantitative outputs into actionable qualitative insights for the business. Exceptional writing and communication skills to effectively and efficiently bridge between IDEO and its clients. Strong presentation and writing skills Ability to conduct and synthesize research Attention to Detail: Demonstrates concern for the details and their impact on the larger picture. Familiarity with a wide range of market analysis tools, data sets, and benchmarks. Comfort determining next steps in ambiguous situations with limited direction. Ready to pitch in on tasks, big or small. Volunteer and helper mindset. Desire to collaborate across various design disciplines Take chances without being afraid to fail and learn along the way Insatiable curiosity to learn more about businesses, industries, markets, and what drives them MINDSET Ground in Self-Awareness: Reflect on your biases and lenses to be more inclusive. Show Curiosity: Question accepted norms to make room to learn from more diverse voices. Lean into Vulnerability: Build trust by being open. Ask for and give consistent and timely feedback on personal performance. Be optimistic Collaborate Embrace ambiguity Talk Less, Do more Learn from failure Make others successful Take ownership What does IDEO offer you? Innovation and creativity: Dive into a variety of projects from creating breakthrough digital products and experiences, to designing new customer interactions, to building innovation capabilities – working alongside talented individuals across disciplines. Learning and growth: Whether it’s strengthening your project leadership, deepening your interaction design craft or exploring new technologies, we’re here to support your journey. Community and well-being: Collaboration and community are central to what we do. We foster moments for creativity, connection, and reflection, respecting the need for work-life balance. Projects with purpose: We partner with clients to use design as a means of realising their purpose and making a positive impact. We work 'upstream,' from defining the problem, designing possible solutions, and exploring what, why and how they might be brought to life. Compensation £55,000 - 60,000 GBP, depending on experience Location London, UK Some Previous Projects To Check Out To get a flavour of the work we do in London, take a look at these case studies: Climate action for SMBs – Designing a strategy and experience to help Sage’s SMB customers transition to net zero. Redefining retail with FEMSA – Designing Spin Premia, a digital loyalty experience connecting everyday shopping at OXXO with rewards and services. Sustainable packaging system – Helping H&M increase their sustainability and growth, by designing and scaling a universal packaging system for all of their brands. Commitment to Diversity At IDEO, we are committed to the work of advancing diversity, equity, and inclusion within our organisation and in the world. Our purpose of having disproportionate, world-changing impact through design is directly connected to our ability to bring many different perspectives to the table. This applies to our candidates, the people we hire, the clients and customers we serve, and the communities we learn from in our research. As a human-centred organisation, we are committed to working with and designing for people of every race, ethnicity, gender identity, sexual orientation, age, socio-economic status, physical ability or attribute, religion, national origin, or political belief. We recognize that this commitment requires ongoing work and sustained attention, as well as adaptation to new insights and best practices Application Requirements And Instructions If you identify with our values, are excited about great design, and would like to contribute to our community, we would love to see your CV, a cover letter and examples of your work.

Location: Remote Please note that all communications regarding this position will be sent exclusively from an email address ending in @planetscale.com Any correspondence relating to this role will only originate from this domain. PlanetScale is growing rapidly and reinventing the database space. The PlanetScale platform delivers a fully managed, multi-cloud Postgres service designed for the most demanding production workloads. We handle the complexity of provisioning, scaling, replication, and failover - so engineering teams can focus on building their products. Our customers entrust us with their most precious digital asset, their data, so the stakes couldn't be higher. We're looking for a Software Engineer to join our Postgres engineering team and help us build a world-class managed Postgres offering. What's the job to be done? You will design and build the control plane that provisions, scales, and heals Postgres clusters with minimal customer-visible downtime. You will build and maintain high availability, disaster recovery, and data protection solutions that keep customer databases safe through infrastructure failures. You will tune Postgres to operate at scale for some of the largest and most demanding workloads in the world. You will build tooling and automation for database operations, backup, restore, and migration workflows - and participate in an on-call rotation. You will work directly with customers to understand their workloads and translate real-world needs into platform improvements. These attributes best describe you… You have strong experience building, operating, or maintaining large-scale Postgres deployments in production. You have an excellent understanding of low-level operating systems concepts including multi-threading, memory management, networking, storage, and performance. You have strong fundamental computer science skills and can reason about distributed, fault-tolerant systems. You thrive in a collaborative environment, enjoy mentoring other engineers, and communicate complex technical tradeoffs clearly. You are self-motivated and can work independently with minimal guidance while making sound technical decisions. What you will need 5+ years of software engineering experience designing, building, and supporting large-scale systems in production. Strong proficiency in Go, with experience in other languages like Ruby, Python, Zig or Rust. Experience building and maintaining distributed, fault-tolerant services. Working knowledge of Kubernetes and containerized applications. Experience building and operating distributed systems at scale. What else will help you be successful Experience building or operating a database-as-a-service or managed database platform. Experience with connection pooling and proxy layers for Postgres. Experience with cloud platforms (AWS, GCP, Azure) and infrastructure-as-code. Contributions to open-source projects, especially in the Postgres or database infrastructure space. Experience working with remote, geographically distributed teams. Previous experience at a high-growth technology company. Why PlanetScale We're redefining how high-growth companies manage data at scale—and we work with some of the most exciting brands in gaming, consumer tech, and B2B SaaS. As a Software Engineer, you'll be at the core of building the platform that powers world-class apps used by hundreds of millions of users worldwide. PlanetScale is a profitable company with a philosophy centered around building small teams of p99 individuals and is recognized as one of the fastest growing companies in America. At PlanetScale we believe in supporting people to do their best work and thrive no matter the location. Our mission is to build a diverse, equitable, and inclusive company. We strive to build an inclusive environment where all people feel that they are equally respected and valued, whether they are a candidate or an employee. We welcome applicants of any educational background, gender identity and expression, sexual orientation, religion, ethnicity, age, citizenship, socioeconomic status, disability, pregnancy status, and veteran status. If you have a disability, please let us know if there's any way we can make the interview process better for you; we're happy to accommodate! Total Compensation and Pay Transparency An employee's total compensation consists of base salary + variable comp where appropriate + benefits + equity. A member of our Talent Acquisition team will be happy to answer any further questions when we engage with you to begin the interview process. Base salary range: $120,000 - $290,000 USD

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . We are seeking a senior backend software engineer to help build the app conversion signals that power Reddit’s app advertising business. You will work on MMP integrations, SKAN processing, and App CAPI to make app installs and in-app events more reliable, useful, and easier for advertisers to integrate. Role Description: Advertisers depend on conversion signals to understand campaign performance and guide investment. Missing events, duplicate delivery, inconsistent mappings, and difficult integrations can undermine that trust. Your work will improve the systems and diagnostics that make app signals usable for measurement and downstream ads systems. Responsibilities: Own backend projects across MMP, SKAN, and App CAPI, from requirements and design to implementation, rollout, and ongoing operation. Build scalable ingestion and processing services with clear contracts, validation, deduplication, failure recovery, and data lineage. Develop integration tooling and diagnostics that help advertisers and partners identify and resolve signal delivery problems. Analyze signal quality and delivery metrics, investigate discrepancies, and prioritize improvements with product and data science partners. Work with partner engineering and downstream consumers to evolve schemas and integrations without disrupting existing advertisers. Incorporate privacy and security requirements into system design, and maintain controls throughout the data lifecycle. Raise engineering quality through testing, design reviews, incident learning, and mentorship. Required Qualifications: Demonstrated senior-level backend software engineering experience delivering and operating scalable production systems. Hands-on app ads signals or mobile measurement experience, with depth in MMP integrations, SKAN, or app conversion APIs. Strong programming, API design, distributed systems, and SQL skills, supported by independent problem solving and data investigation. Clear communication and a record of delivering results with cross-functional teams and stakeholders. Benefits: 100% remote opportunity (we have 4 office locations for hybrid/onsite work preference in NY, SF, LA and Chicago) Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-AJ1 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $190,800 — $267,100 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

О проекте Международный проект в области AI Security, связанный с разработкой сред, которые помогают LLM-моделям проходить обучение с подкреплением для задач, связанных с кибербезопасностью. Эти среды содержат задания в различных областях кибербезопасности (пентестинг, реагирование на инциденты, эксплуатация, вредоносное ПО и т.д.), цель — создавать достаточно сложные задачи, чтобы модель допускала ошибки, но которые остаются решаемыми для профессиональных специалистов. Важно: это не классическая позиция Pentester или Red Team Engineer. Основная задача — создавать сложные, но реалистичные и проверяемые security-сценарии, в которых LLM-модели совершают ошибки именно из-за недостатков в рассуждении (reasoning), а не из-за неоднозначных инструкций или ограничений среды. Задачи: — Проектировать security-сценарии для оценки и обучения LLM-моделей — Создавать environments с использованием GitHub, Slack и других инструментов, встречающихся в реальной разработке — Разрабатывать задачи, требующие сложного многошагового reasoning — Моделировать реальные offensive security-сценарии (supply chain attacks, malicious pull requests, exploitation через GitHub Actions и другие техники) — Проверять разработанные сценарии на нескольких frontier-моделях и анализировать причины их ошибок — Формулировать ожидаемое поведение модели и описывать, почему конкретная ошибка считается reasoning failure — Автоматизировать создание и проверку задач с использованием Python и других инструментов Требования: — 5+ лет практического опыта в Offensive Security, Application Security или Web Penetration Testing — Практический опыт AI Red Teaming / LLM Security — Глубокое понимание современных техник атак и поверхности атаки веб-приложений, API, GitHub, CI/CD и связанных экосистем — Практический опыт проведения penetration testing и исследования безопасности приложений — Опыт разработки на Python и/или JavaScript — Навыки статического и динамического анализа кода (Python, JavaScript, Java) — Умение самостоятельно исследовать новые направления, проектировать сложные сценарии и объяснять результаты своей работы — Свободный английский язык (Upper-Intermediate / B2+) — Практический опыт работы с современными LLM-моделями — Понимание особенностей их работы, ограничений и типичных failure modes — Интерес к AI Security и исследованию поведения LLM — Опыт работы с Agentic AI, AI Agents или Model Evaluation Будет большим плюсом: — Опыт исследований безопасности GitHub Actions, CI/CD, Supply Chain Security — Сертификаты OSWE, eWPTXv2, OWEE, OSWA или аналогичные — Публикации, write-ups, участие в Bug Bounty, HackTheBox, TryHackMe, Pwn2Own или других исследовательских проектах — Способность придумывать новые, не похожие на существующие сценарии атак, которые сломают сильную модель, исследовательское мышление и креативность Условия: — B2B-контракт (с ИП) — Оплата в долларах США — Part-time/Full-time: почасовая оплата за выполненные задачи, 1 задача занимает около 10-12 часов — Локация — строго вне РФ/РБ

• ​Hands-on experience with card payments and payment integrations. • ​Understanding of payment flows, refunds, settlements and chargebacks.

Location: Canada, Waterloo, ON Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Sr. Software Development Engineer In Test, ML/AI At SIE, we believe in making play safer for everyone. Within our Information Security team, we protect our people, platforms, and products with smart, scalable, and thoughtful solutions. Our mission is to provide clear, actionable risk and security insights that guide the business and enable amazing player experiences. We’re building a team that thrives on collaboration, curiosity, and delivering real value. Come help us make a difference! Overview We are hiring a Sr Software Engineer in Test specializing in ML/AI quality, including automation for model evaluation, LLM-assisted test generation, and validation of AI-powered workflows. The role includes guiding quality strategy and developing automation frameworks. You will also manage implementation for complex, cross-functional, machine learning-powered products and services. This role involves more than test development. You will lead quality initiatives from start to finish, ensuring teams stay synchronized, dependencies are managed, and releases are delivered confidently. You will work closely with ML, engineering, product, and infrastructure teams. You will shape how quality is built, monitored, and expanded while leading embedded QE efforts within projects. What you’ll do Define and complete quality strategies, test plans, and automation coverage for ML-powered services and platform components. Use LLMs and other AI-assisted techniques to generate, expand, and maintain high-value test cases for ML-powered workflows. Design scenario-based test suites for AI features, including adversarial prompts, edge cases, ambiguous inputs, and underrepresented user scenarios. Lead QE efforts for multi-functional projects, driving risk assessment, dependency management, and release readiness. Design, develop, and maintain scalable automation frameworks for backend services, APIs, and ML inference systems using Python and/or Java. Build automated validation for ML and LLM outputs, including ranking behavior, score distributions, prompt/response quality, hallucination indicators, and probabilistic model evaluation. Debug test failures, service anomalies, model inconsistencies, and AI behavior regressions to identify root causes and drive resolution. Perform functional, integration, regression, API, end-to-end, performance, and reliability testing for distributed systems. Improve automation reliability, reduce flakiness, and optimize execution efficiency. Partner with engineering and ML teams to integrate automated testing into CI/CD pipelines and release workflows. Collaborate across teams to establish scalable quality standards, tooling, and guidelines. Required qualifications Bachelor’s degree in Computer Science or equivalent 5+ years of experience as an SDET or QE engineer focused on backend and distributed systems. Experience using LLMs to generate, transform, and prioritize test cases for AI-powered experiences. Experience with AI evaluation tooling, prompt evaluation frameworks, model monitoring, or human-in-the-loop review workflows. Strong experience testing RESTful APIs, microservices, and distributed architectures. Proficiency in Python, Java, JS or similar languages for automation development. Hands-on experience with automation frameworks such as pytest, JUnit, Selenium, Playwright, Cypress, or Appium. Experience with CI/CD systems and test pipelines (Jenkins, GitHub Actions, etc.). Experience with cloud and container technologies (AWS, GCP, Kubernetes, Docker). Familiarity with databases, monitoring, and observability tools. Strong understanding of SDLC, Agile methodologies, and release processes. Excellent problem-solving, debugging, and communication skills. Preferred qualifications Experience validating ML outputs using statistical analysis or scenario-based testing approaches. Familiarity with ML infrastructure, data pipelines, or model-serving platforms (Seldon, KServe, Ray Serve, etc.). Prior work in content moderation ML, security, fraud detection, or adversarial ML. Experience testing high-scale, low-latency online services. Experience with Databricks or similar ML platform tooling. Familiarity with Node.js, React, or modern frontend technologies. Experience testing mobile, console, or other non-PC platforms. What sets you apart Strong combination of automation engineering and delivery ownership. Ability to drive quality across complex cross-functional initiatives. Practical understanding of how to test non-deterministic AI systems and separate model variance from quality regressions. Proven risk management and dependency coordination skills. Ability to influence engineering teams and promote quality guidelines. Passion for scalable, reliable, and maintainable automation systems. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $114,900 — $172,300 CAD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Canada; United States We offer full relocation support, including immigration assistance. You may work remotely at first while your immigration process is being completed. Long-term, the role will transition to onsite work in Montreal. Role overview: We are seeking a Satellite Bus System Engineer to design structural, thermal, power distribution, attitude control, propulsion, CD&H, TT&C/PDT, FSW and interface architecture that supports payloads and mission-operations for current and next-generation remote sensing and communications satellites. The role leads the definition, design, integration, verification and on-orbit support of the platform subsystems, ensuring compliance to mission requirements and company best-practice processes. Tasks summary: Architecture Concept & Requirements • Translate mission‑level requirements (CONOPs, mass, volume, power, envelope, pointing, lifetime, redundancy, reliability…etc.) into system requirements and allocate them to platform subsystems (structures, TCS, EPS, GNC, PROP, C&DH, TT&C/PDT, FSW). • Develop the Platform Architecture Description Document, Interface Control Documents (ICD) and Design Description. • Perform requirement management and maintain bidirectional traceability throughout the program life cycle. Concept Trade & Feasibility • Lead trade studies for structural approach, thermal control concepts (MLI, heat pipes, radiators…etc.), power generation options (e.g. solar array & battery technologies). Detailed Design • Oversee detailed design of all major subsystems (structures, TCS, EPS, PROP, C&DH, C&T, GNC, payload interfaces). • Conduct failure‑mode‑effects‑analysis (FMEA) in support to FDIR, fault‑tree analysis and reliability & availability predictions. • Ensure compliance with mission requirement and payload specifics. • Maintain platform level performance budgets • Support FSW and Satellite Reference Database developments Cross‑Functional Coordination, Stakeholder & Program Interaction • Present technical status, risk analyses, and trade‑study results to senior management. • Negotiate and maintain ICDs with payload and all platform subsystems. • Support to DC & RF harness design, Platform and Payload layout. • Support B&P (Phase 0 & pre-phase A). Integration & Verification (IVV) • Author verification plans, test matrices, and validation procedures for unit, subsystem, and platform level tests. • Coordinate, supervise or support: o  Structural vibration, acoustic & shock testing o TCT & Thermal vacuum testing o  Power distribution functional test o  Closed‑loop test on avionic testbed • Support FSW integration Technical Leadership & Mentorship • Mentor, guide, lead a multidisciplinary team of junior or intermediate system engineers & interns • Act as technical liaison with customers, partners and external vendors • Act as Continuous Improvement stakeholder • Contribute to company's knowledge‑base, process enhancements, and standards development. Configuration, Documentation & Standards Management • Maintain platform‑wide standards (structural margin, thermal‑control, power‑bus architecture, redundancy philosophy…etc.). • Ensure all artefacts, analysis, software, documentations and deliverables are version controlled in PLM environment. • Support design reviews (SRR, PDR, CDR, MRR/TRR…etc.). • Support Technology Road‑Mapping & Innovation Launch‑Site, On‑Orbit & Operations Support • Support launch‑site interface checklists with LVI responsible engineer, pre‑launch checkout procedures, and early‑orbit checkout scripts. • Provide real‑time platform engineering support during launch, on‑orbit commissioning, anomaly investigations and contingency operations. • Support SOOH development and associated operator training. Required Qualifications: · B.Sc. in Electrical Engineering, Aerospace or Physics with 10 + years of system design experience on LEO/MEO/GEO platforms. · Deep knowledge of spacecraft bus subsystems and their interactions. · Experience with power‑electronics design and high‑precision attitude‑control hardware. · Strong understanding of aerospace system engineering fundamentals · Hands-on individual who can support systems integration processes and capability to test systems and resolve problems · Experience with Confluence and JIRA · Demonstrated capability to efficiently work with little supervision · Ability to distill complex problems to fundamentals to solve with analysis, similarity, or creativity · Demonstrate excellent written and oral communication skills in English; knowledge of French will be considered an asset (Contact with clients outside Quebec and work on deliverables in English).

Location: Montreal, Canada Tasks summary: Architecture Concept & Requirements • Translate mission‑level requirements (CONOPs, mass, volume, power, envelope, pointing, lifetime, redundancy, reliability…etc.) into system requirements and allocate them to platform subsystems (structures, TCS, EPS, GNC, PROP, C&DH, TT&C/PDT, FSW). • Develop the Platform Architecture Description Document, Interface Control Documents (ICD) and Design Description. • Perform requirement management and maintain bidirectional traceability throughout the program life cycle. Concept Trade & Feasibility • Lead trade studies for structural approach, thermal control concepts (MLI, heat pipes, radiators…etc.), power generation options (e.g. solar array & battery technologies). Detailed Design • Oversee detailed design of all major subsystems (structures, TCS, EPS, PROP, C&DH, C&T, GNC, payload interfaces). • Conduct failure‑mode‑effects‑analysis (FMEA) in support to FDIR, fault‑tree analysis and reliability & availability predictions. • Ensure compliance with mission requirement and payload specifics. • Maintain platform level performance budgets • Support FSW and Satellite Reference Database developments Cross‑Functional Coordination, Stakeholder & Program Interaction • Present technical status, risk analyses, and trade‑study results to senior management. • Negotiate and maintain ICDs with payload and all platform subsystems. • Support to DC & RF harness design, Platform and Payload layout. • Support B&P (Phase 0 & pre-phase A). Integration & Verification (IVV) • Author verification plans, test matrices, and validation procedures for unit, subsystem, and platform level tests. • Coordinate, supervise or support: o  Structural vibration, acoustic & shock testing o TCT & Thermal vacuum testing o  Power distribution functional test o  Closed‑loop test on avionic testbed • Support FSW integration Technical Leadership & Mentorship • Mentor, guide, lead a multidisciplinary team of junior or intermediate system engineers & interns • Act as technical liaison with customers, partners and external vendors • Act as Continuous Improvement stakeholder • Contribute to company's knowledge‑base, process enhancements, and standards development. Configuration, Documentation & Standards Management • Maintain platform‑wide standards (structural margin, thermal‑control, power‑bus architecture, redundancy philosophy…etc.). • Ensure all artefacts, analysis, software, documentations and deliverables are version controlled in PLM environment. • Support design reviews (SRR, PDR, CDR, MRR/TRR…etc.). • Support Technology Road‑Mapping & Innovation Launch‑Site, On‑Orbit & Operations Support • Support launch‑site interface checklists with LVI responsible engineer, pre‑launch checkout procedures, and early‑orbit checkout scripts. • Provide real‑time platform engineering support during launch, on‑orbit commissioning, anomaly investigations and contingency operations. • Support SOOH development and associated operator training. Required Qualifications: · B.Sc. in Electrical Engineering, Aerospace or Physics with 10 + years of system design experience on LEO/MEO/GEO platforms. · Deep knowledge of spacecraft bus subsystems and their interactions. · Experience with power‑electronics design and high‑precision attitude‑control hardware. · Strong understanding of aerospace system engineering fundamentals · Hands-on individual who can support systems integration processes and capability to test systems and resolve problems · Experience with Confluence and JIRA · Demonstrated capability to efficiently work with little supervision · Ability to distill complex problems to fundamentals to solve with analysis, similarity, or creativity · Demonstrate excellent written and oral communication skills in English; knowledge of French will be considered an asset (Contact with clients outside Quebec and work on deliverables in English).

Location: London; Belgrade Workplace: Hybrid About the role Perplexity's fraud prevention team protects our products, users, and infrastructure from fraud and abuse across the whole lifecycle: sign-up, authentication, payments, API usage, and product features. We build and operate a real-time decisioning platform together with the surrounding systems: data pipelines for detection and model training, integrations with product and payment systems, and internal tooling for investigation and response. As a software engineer on the team, you will own services end to end, from design to production operations, and work closely with fraud analysts, ML engineers, and product teams to make abuse expensive and legitimate usage frictionless. Responsibilities - Design, build, and operate high-throughput, low-latency backend services for fraud detection and prevention - Build data pipelines and real-time feature computation that power detections and ML models - Collect and process trust signals - Integrate fraud decisions into product, auth, and payment flows across Perplexity - Own reliability of production services: observability, alerting, safe rollouts, incident response - Build internal tooling for investigation, enforcement, and auditability - Partner with fraud analysts to turn new abuse patterns into production detections quickly Qualifications - 5+ years building and operating high-throughput, latency-sensitive backend systems in production - Strong systems programming skills; Rust, Go, or C++ experience preferred (we write Rust) - Hands-on experience with Kubernetes, Terraform and cloud infrastructure - Solid data fundamentals: stream/batch computations, caching and storage trade-offs - Pragmatic, ownership-driven approach: ship incrementally, measure, and make failures degrade safely Nice to have - Fraud prevention, anti-abuse, or payments-risk domain experience - Experience serving ML models in production - Client-side experience (web or mobile) for signal collection

Location: Distributed About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, San Francisco Principal, GTM Automation, RevOps What We're Looking For: We're hiring a Principal for GTM Automation to document processes, build the AI agents and automation, and design improvements for our Revenue organization (Sales, Marketing, Customer Success, Partner, RevOps). This is a senior individual contributor role where you will build and maintain the automation needed to drive efficiency and reduce operational friction. The hard part of this job is knowing where not to put an agent. You'll decide which parts of prospecting, account research, deal management, and renewals can be handed to AI systems, where a person has to stay involved, and how we confirm the output is right before a seller acts on it. You will work directly with Sales leadership, Revenue Operations, Enablement, and the data and engineering teams on tools that save sellers real time. Success is identified by creating systems that resolve mundane tasks and save people real time. We are looking for someone who has run agentic systems in production for a business team and can tell us what broke and what they changed. Location: Remote, Austin or San Francisco What You'll Get To Do In This Role: Design and build agentic workflows for repetitive revenue work such as account creation and enrichment, CRM updates, renewals, QBR prep, deal registration, account ownership, etc. Add RBAC, observability, error handling, etc. to make the systems as robust as possible. Decide where AI and automation fit in the go-to-market motion, and where human judgment is still required. Set the quality bar for agents in production: evals that run before every release, monitoring tied to pipeline and revenue, clear rules for sensitive data, and a tested rollback. Own the architecture that connects agents to Salesforce, the data warehouse, enrichment and intent sources, and call data, so the next workflow reuses what the last one built. Build the signal layer that feeds account prioritization, routing, and next-best-action. Product usage, intent, firmographic changes, and call transcripts all go in. Review code and designs from stakeholders (analysts, Revenue Operations partners, etc.). Where version control, tests, or code review are missing, help put them in place. Work with Sales, Marketing, and Customer Success leaders to find the work worth automating, and say no to the work that isn't. Measure adoption and business impact for everything that ships. Retire tools that the organization isn’t using. Track new models, agent frameworks, and vendor tools, and decide what's worth adopting. Document each system and who owns it, so it keeps running when you move on to the next one. What We're Looking For In You: 10+ years in software engineering, data engineering, GTM automation, or revenue systems, with several years owning systems from design through production support at staff level or above. At least one LLM-powered workflow or agent that a business team relied on in production. Be ready to walk us through how it called tools, handled failures, and was evaluated. Strong Python or TypeScript, and strong SQL. You write tested code, and you can review AI-generated code well enough to catch what it gets wrong. Hands-on Salesforce experience with the data model, Flow, APIs, and permissions, and a clear sense of how CRM data goes bad when automation writes to it. Comfort working directly in BigQuery, Snowflake, or a similar warehouse. Experience integrating SaaS systems over REST APIs and webhooks, and tracing a failure back to its source. Working knowledge of enrichment and signal tools such as D&B, ZoomInfo, and HG Insights, and a view on what to do when two sources disagree. You can explain the same system to a sales VP in two sentences and to an engineer in a schema, and you can influence leaders on teams that don't report to you. Compensation Compensation may be adjusted depending on work location. For San Francisco based hires: Estimated annual salary of $184,000-$230,000. Austin based hires: Estimated annual salary of $160,000 - $210,000. Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Remote - Worldwide Workplace: onsite Coinspaid Dev is the engineering brand behind the technology, infrastructure, and R&D expertise built within Coinspaid. With more than 120 engineersand over 11 years of industry experience, Coinspaid Dev brings together software engineering, infrastructure, security and R&D teams with experience building distributed systems and blockchain infrastructure operating across more than 20 blockchain networks. Coinspaid Dev emerges as an independent engineering brand with a straightforward mission: to advance blockchain infrastructure engineering and contribute practical expertise back to the industry. The structure is new. The experience behind it is not. Position Description: We are looking for a Principal QA Engineer to take ownership of a company-wide QA system and lead its continued development. You will dive into the current processes, leadership model, automation and tooling direction, quality controls, and improvement roadmap; challenge existing approaches where needed, and drive the next stage of maturity across engineering domains. We need a senior technical leader who sees Quality Engineering as an engineering system, connects business and technical risks with practical changes in the SDLC, test architecture, automation, environments, release quality, and metrics, and turns systemic problems into measurable and sustainable improvements. This is a senior individual contributor role working primarily through QA Technical Leads and Senior QA Engineers and partnering with Engineering Managers, Product, Architecture, and DevOps/SRE, while remaining hands-on in high-impact reviews, pilots, and critical investigations. Responsibilities: Take ownership of the company-wide Quality Engineering strategy, operating model, and improvement roadmap; continue evolving them as products, risks, and organizational needs change. Assess Quality Engineering maturity across domains, identify systemic bottlenecks and inconsistencies, and prioritize the improvements with the highest company-wide impact. Define and evolve cross-domain standards and guardrails for test architecture, coverage, quality evidence, testability, observability, release readiness, and production validation. Drive continuous improvement of the end-to-end QA process and embed shift-left practices, quality controls, and risk-based gates across the SDLC together with Product, Engineering, Architecture, and DevOps/SRE. Own the strategic direction of the QA toolchain and automation architecture, and validate key technical decisions hands-on through code, prototypes, and architecture reviews across UI and backend automation. Python is preferred, while Go, Node.js, or another suitable stack is also relevant. Continuously benchmark market practices and emerging technologies, including AI; validate ideas through experiments and turn successful findings into company-wide transformation initiatives such as framework modernization, contract and performance testing, smarter test selection, and cloud-native test environments. Actively use AI in daily engineering work and advance its adoption across QA. Define scalable release-quality principles and provide technical recommendations for systemic, cross-team, or ambiguous quality risks. Lead cross-team investigations and root-cause analysis for critical incidents, unstable environments, systemic automation failures, and quality problems without a clear owner. Establish meaningful quality metrics and make trends, risks, technical debt, and improvement outcomes visible to engineering leadership. Develop QA Technical Leads as domain-level technical owners, strengthening their ability to translate company-wide direction into sustainable practices and decisions within their domains. Influence, align stakeholders, and translate business, regulatory, and operational risks into clear engineering priorities. Requirements: 8+ years in Quality Assurance / Quality Engineering, including technical leadership across multiple teams or domains. Experience defining QA strategy, standards, or large-scale transformations with measurable results. Deep knowledge of Quality practices risk-based testing, coverage strategy, shift-left, quality gates, testability, release readiness, and production quality signals. Strong hands-on programming experience and the ability to design and contribute to scalable UI and backend automation. Python is preferred, but strong experience with Go, Node.js, or another relevant stack is welcome. Strong experience with distributed backend systems, REST APIs, event-driven workflows, third-party integrations Experience with CI/CD, Docker/Kubernetes, cloud-native or GitOps environments, and observability tools. Ability to define useful quality metrics, communicate technical risk, and influence senior stakeholders A research-driven mindset, practical experience evaluating new technologies, and confident, responsible, and active use of AI tools in everyday engineering work. Good spoken and written English and Russian. Nice to have: Experience in fintech, crypto, payments, compliance, financial operations, or another regulated domain with complex integrations and high operational risk. Experience with Kafka, MQ, Debezium, ledger-like systems, eventual consistency, and event-driven architecture. Experience with contract, performance, load, resilience, or reliability testing. Why join CryptoProcessing by Coinspaid You’ll be joining a company that is actively shaping its space – with enough scale to matter and enough room to make an impact. At Coinspaid, people are expected to think, contribute, and take ownership – and are supported in doing so. We focus on flexibility, wellbeing, and long-term growth – without overcomplicating how benefits work. Flexible Benefits Benefit Bar – up to €230/monthA flexible monthly budget you can use for what matters most to you – from sports and mental health to coworking, home office, or medical-related expenses. Work & Flexibility Fully remote work from almost anywhere Optional offices and relocation support Flexible, async-friendly environment Growth & Learning Budget for courses, certifications, and professional development Language learning support Cross-team learning and knowledge sharing Wellbeing & Support Medical insurance or reimbursement depending on location Access to mental health support Financial support for important life events Extras Merch shop with rewards system Team offsites and company events Sounds good? Well then, we can’t wait to see your resume! To learn more please visit: https://coinspaid.com/about-us/ & https://coinspaid.com/careers/

Location: United States Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.   We're looking for a Sr. Data Analyst, Compliance to join our team remotely! The primary goal of this role is to elevate decision-making by uncovering emerging trends and root causes, and by driving insights and actions that provide full visibility into business performance and operational efficiency. Beyond technical expertise, success in this role depends on being a true business partner who combines data-driven insights with strategic thinking to deliver actionable recommendations, guide decision-making, and drive measurable impact across the organization. In this role, you'll own end-to-end data management, from building and maintaining datasets and pipelines to designing dashboards and delivering insights for the Compliance team. A core part of this role is owning the logic and rule-setting behind transaction monitoring across deposits and withdrawals. You'll also contribute to experimentation infrastructure, laying the groundwork for future ML and intelligence initiatives.   THE OPPORTUNITY - Own the logic and rule-setting behind transaction monitoring across deposits and withdrawals, partnering closely with Compliance to study patterns and refine detection logic - Translate compliance requirements into production detection logic, preserving correctness across alert eligibility, thresholds, customer segmentation, date windows, and deduplication - Develop and maintain Python and SQL pipelines for transaction data preparation, feature engineering, and detection workflows - Evaluate detection rules and analytical models across coverage, alert quality, threshold sensitivity, and the impact of proposed changes - Design reproducible evaluations on historical data that account for limited labels, class imbalance, and shifts in customer behaviour over time - Own testing, deployment, scheduling, monitoring, and operational support for detection workflows, including investigating data quality issues, pipeline failures, and unexpected changes in detection results - Execute historical backfills with clear validation and traceability, and maintain reliable downstream alert delivery and integrations with compliance systems - Be at the forefront of data innovation by experimenting, testing hypotheses, and translating insights into action, while incorporating software engineering best practices into pipelines and dashboards.   WHAT YOU BRING - 7+ years of experience in data analysis, data science, and data management within the fintech, crypto, financial services, or gambling industry, gained in a fast-paced, high-growth environment - Experience working with compliance, fraud, funding, finance, and customer support teams and analyzing large datasets, engineering features, and applying statistical methods to practical business problems - Strong Python and SQL skills, with experience building and supporting production data or analytical systems - Hands-on experience using dbt or similar tooling to model and organize high-fidelity data for reporting and decision-making - Experience setting up and managing data pipelines with a strong understanding of workflow orchestration, plus strong software engineering practices including version control, automated testing, code review, and CI/CD - Solid statistical foundation; ML exposure is a strong plus - Proficiency with BI and data visualization tools (e.g., Hex, Tableau, Power BI, or similar) to build executive-facing dashboards - Ability to investigate production issues independently and communicate technical findings and uncertainty to non-technical stakeholders - You believe wholeheartedly in the values outlined in Kraken's Tentaclements document - A degree in a field emphasizing analytical rigor, such as analytics, software engineering, statistics, or economics - Based in Canada, the US, or Brazil, and fluent in English   NICE TO HAVES - Fraud detection, AML, anomaly detection, or other risk applications - Experience with Athena, Trino, Kafka, and Kubernetes alongside the core Airflow/dbt/S3 stack - Transaction pattern analysis, customer segmentation, and detection threshold tuning - Developing or productionising machine learning models, including experiment tracking and performance monitoring - Working with sparse or delayed feedback from investigations to evaluate and improve detection - Explainability, auditability, and change control in regulated environments Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Bengaluru 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 Harvey is building the infrastructure foundation behind one of the most ambitious AI product companies in the world. Our Core Infrastructure team powers every user interaction across Harvey’s legal AI platform, which already processes billions of prompt tokens and millions of daily requests for leading law firms, enterprises, and other high-stakes customers. We are looking for an Engineering Manager to lead Core Infrastructure from Bengaluru as we scale the platform, the team, and the next generation of Harvey products. This is a high-leverage role for a builder-leader who can grow strong engineers, drive technical execution, and raise the bar on reliability, performance, security, and developer velocity. This is not a pure operations role. Core Infrastructure at Harvey is responsible for building new systems as well as hardening existing ones, with an emphasis on architecture, scale, and long-term platform leverage rather than reactive firefighting alone. Harvey is in a build era, not a maintenance era. New product surfaces ship rapidly, and India engineering is expected to play a foundational role in shaping the architecture, culture, and roadmap of Harvey’s next decade. At Harvey, we value Decisiveness, Simplicity, and the mindset that Job's Not Finished. We move fast, prioritize clarity, and are always striving for excellence. If this resonates with you, we'd love to hear from you. WHY THIS ROLE MATTERS: Core Backend Infrastructure exists to “deliver core infrastructure that powers our products and teams,” and its current mission is operational excellence at scale. The team serves two critical user groups: external customers who need Harvey to be as reliable as the tools it replaces, and internal product engineering teams who need infrastructure they can build on without firefighting. The systems this team owns are directly tied to Harvey’s next wave of growth, including agent infrastructure, database resilience, site reliability, vector search, job execution, regional data residency, and multi-cloud scale. WHAT YOU'LL DO: - Lead, hire, and develop a high-agency infrastructure team in Bengaluru, creating a culture of accountability, technical excellence, and strong mentorship. - Own delivery for core infrastructure investments spanning cloud infrastructure, observability, container orchestration, reliability, and platform foundations. - Partner closely with Product Engineering, Security, and adjacent platform teams so infrastructure accelerates product delivery instead of constraining it. - Guide technical strategy across multi-cloud infrastructure, including Azure- and GCP-based systems, Kubernetes orchestration, networking, container management, and infrastructure as code. - Drive operational excellence through better observability, incident response, disaster recovery, runbooks, alerting, and recovery tooling. - Help the organization scale safely by improving system design quality, hardening critical paths, and pushing durable solutions to reliability bottlenecks before they become customer-facing failures. - Partner with AI and product teams to support Harvey’s next major product surfaces, including agent workflows, model infrastructure, and large-scale document processing systems. - Contribute as a hands-on technical leader when needed, especially in architecture reviews, incident leadership, prioritization, and high-stakes cross-functional programs. REPRESENTATIVE PROBLEMS YOU MAY LEAD: - Hardening the Agent Platform so product teams can ship AI agent experiences with resource isolation, authenticated sandbox access, and resilient execution. - Improving database resilience and recovery so incidents are mitigated quickly and the main database never becomes the bottleneck during critical events. - Raising site reliability through stronger alerting, failover strategy, autoscaling, and runbooks so customers are never the first to know Harvey is degraded. - Scaling vector and retrieval infrastructure that underpins document-heavy workflows and enterprise search, including migrations that improve reliability and unlock new capabilities. - Building a multi-region, enterprise-grade platform that meets strict data residency, security, and uptime expectations for global customers. WHAT WE’RE LOOKING FOR: - 12+ years of hands-on backend infrastructure or platform engineering experience in production environments - 5+ years of engineering management experience. - Deep technical strength across cloud infrastructure, Kubernetes, networking, observability, CI/CD, and infrastructure-as-code tooling such as Terraform or Pulumi. - A track record of designing and scaling reliable distributed systems, with strong judgment around performance, fault tolerance, and operational tradeoffs. - Experience leading complex cross-functional initiatives and translating ambiguous platform needs into clear execution plans and measurable outcomes. - Strong people leadership: hiring well, coaching engineers, creating accountability, and building a healthy, high-performing team culture. - Clear communication and calm execution during incidents, escalations, and high-stakes customer-impacting situations. - A systems mindset, bias for simplicity, and the ability to raise standards while keeping teams moving fast. NICE TO HAVE - Experience with AI/ML infrastructure, high-throughput inference systems, or model platform reliability. - Experience operating multi-tenant, security-sensitive platforms for enterprise or regulated customers. - Familiarity with Azure at scale; GCP or AWS experience also transfers well. - Experience supporting global, follow-the-sun operations or building teams across regions. ADDITIONAL INFORMATION - Work eligibility: Must be authorized to work in India. Visa sponsorship is not available for this role. PLEASE FIND THE APPLICANT PRIVACY FOR THIS REGION HERE https://www.harvey.ai/legal/india-applicant-privacy-notice. #LI-AS2 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: Canada; Brazil Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.   We're looking for a Sr. Data Analyst, Compliance to join our team remotely! The primary goal of this role is to elevate decision-making by uncovering emerging trends and root causes, and by driving insights and actions that provide full visibility into business performance and operational efficiency. Beyond technical expertise, success in this role depends on being a true business partner who combines data-driven insights with strategic thinking to deliver actionable recommendations, guide decision-making, and drive measurable impact across the organization. In this role, you'll own end-to-end data management, from building and maintaining datasets and pipelines to designing dashboards and delivering insights for the Compliance team. A core part of this role is owning the logic and rule-setting behind transaction monitoring across deposits and withdrawals. You'll also contribute to experimentation infrastructure, laying the groundwork for future ML and intelligence initiatives.   THE OPPORTUNITY - Own the logic and rule-setting behind transaction monitoring across deposits and withdrawals, partnering closely with Compliance to study patterns and refine detection logic - Translate compliance requirements into production detection logic, preserving correctness across alert eligibility, thresholds, customer segmentation, date windows, and deduplication - Develop and maintain Python and SQL pipelines for transaction data preparation, feature engineering, and detection workflows - Evaluate detection rules and analytical models across coverage, alert quality, threshold sensitivity, and the impact of proposed changes - Design reproducible evaluations on historical data that account for limited labels, class imbalance, and shifts in customer behaviour over time - Own testing, deployment, scheduling, monitoring, and operational support for detection workflows, including investigating data quality issues, pipeline failures, and unexpected changes in detection results - Execute historical backfills with clear validation and traceability, and maintain reliable downstream alert delivery and integrations with compliance systems - Be at the forefront of data innovation by experimenting, testing hypotheses, and translating insights into action, while incorporating software engineering best practices into pipelines and dashboards.   WHAT YOU BRING - 7+ years of experience in data analysis, data science, and data management within the fintech, crypto, financial services, or gambling industry, gained in a fast-paced, high-growth environment - Experience working with compliance, fraud, funding, finance, and customer support teams and analyzing large datasets, engineering features, and applying statistical methods to practical business problems - Strong Python and SQL skills, with experience building and supporting production data or analytical systems - Hands-on experience using dbt or similar tooling to model and organize high-fidelity data for reporting and decision-making - Experience setting up and managing data pipelines with a strong understanding of workflow orchestration, plus strong software engineering practices including version control, automated testing, code review, and CI/CD - Solid statistical foundation; ML exposure is a strong plus - Proficiency with BI and data visualization tools (e.g., Hex, Tableau, Power BI, or similar) to build executive-facing dashboards - Ability to investigate production issues independently and communicate technical findings and uncertainty to non-technical stakeholders - You believe wholeheartedly in the values outlined in Kraken's Tentaclements document - A degree in a field emphasizing analytical rigor, such as analytics, software engineering, statistics, or economics - Based in Canada, the US, or Brazil, and fluent in English   NICE TO HAVES - Fraud detection, AML, anomaly detection, or other risk applications - Experience with Athena, Trino, Kafka, and Kubernetes alongside the core Airflow/dbt/S3 stack - Transaction pattern analysis, customer segmentation, and detection threshold tuning - Developing or productionising machine learning models, including experiment tracking and performance monitoring - Working with sparse or delayed feedback from investigations to evaluate and improve detection - Explainability, auditability, and change control in regulated environments Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice