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Location: Denver, CO, US Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. About this role:   We're looking for a Full Stack Developer (main back end focus) to work on our advertising analytics platform. We gather and process BIG amounts of data and deliver meaningful insights to our customers. We have browser extensions, databases, panelists, servers, so many servers, and a great hybrid culture with coworkers locally and across the globe.   There's a good mix of extremely difficult problems, impossible problems, easy problems, bugs, performance issues, and the occasional thing that's a joy to work on – join us! Annual Base Salary: 120,000 - 145,000 USD   What you will do in a typical day: - Tackle interesting performance and scalability challenges. - Meticulously refactor bunches of reports decimating code size and run time while preserving results. - Intelligently manage tech debt while simultaneously delivering new features for the business. - Code in SQL and C# (and occasionally js) in a mixed environment (Windows and Linux but mostly Windows) utilizing AWS, SQL Server, Redshift, Mongo, EntityFramework and ASP.NET http://asp.net/ Core. - Participate in a Kanban/Devops dev process with fluid requirements, weekly scrums, and potentially be on-call w/Pagerduty - Be a proponent for continuous improvement, architecture, clean code, and good systems design - We use Github for source control and Jira for project management - We review PRs! (usually) and ship often. What you can bring: - Experienced C# developer. - Be able to code in C#, SQL and occasionally in Ruby. - Big Plus: Comfortable reading and modifying Javascript/React. - Friendly - You will be working in cross function with a lot of cool people! - Love for data - Our platform provides data intelligence for the digital economy! Our Engineering Culture We believe that "Simplicity is a prerequisite for reliability." We are looking for engineers who align with our core values:   - Simplicity: We avoid over-engineering. We prefer the tools we already have and the most straightforward solutions over "shiny new toys." - Quality: We write code that is a pleasure to read because we know code is written once but read many times. We don't cut corners, and we polish to a high level before shipping. - Extreme Ownership: We don't just do the minimum. We expect you to understand the "why" behind your work and own the ultimate goal of fixing problems at their root cause, avoiding temporary band-aids. - Prioritization: We focus relentlessly on what is important, not just what is urgent.   Read more about some of our Technical challenges here (written by members of our engineering team): https://sensortower.com/blog/speeding-up-the-backend-with-graph-theory   https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Culver City, CA, US Workplace: Hybrid Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. About this role:   We're looking for a Full Stack Developer (main back end focus) to work on our advertising analytics platform. We gather and process BIG amounts of data and deliver meaningful insights to our customers. We have browser extensions, databases, panelists, servers, so many servers, and a great hybrid culture with coworkers locally and across the globe.   There's a good mix of extremely difficult problems, impossible problems, easy problems, bugs, performance issues, and the occasional thing that's a joy to work on – join us! Annual Base Salary: 120,000 - 145,000 USD   What you will do in a typical day: - Tackle interesting performance and scalability challenges. - Meticulously refactor bunches of reports decimating code size and run time while preserving results. - Intelligently manage tech debt while simultaneously delivering new features for the business. - Code in SQL and C# (and occasionally js) in a mixed environment (Windows and Linux but mostly Windows) utilizing AWS, SQL Server, Redshift, Mongo, EntityFramework and ASP.NET http://asp.net/ Core. - Participate in a Kanban/Devops dev process with fluid requirements, weekly scrums, and potentially be on-call w/Pagerduty - Be a proponent for continuous improvement, architecture, clean code, and good systems design - We use Github for source control and Jira for project management - We review PRs! (usually) and ship often. What you can bring: - Experienced C# developer. - Be able to code in C#, SQL and occasionally in Ruby. - Big Plus: Comfortable reading and modifying Javascript/React. - Friendly - You will be working in cross function with a lot of cool people! - Love for data - Our platform provides data intelligence for the digital economy! Our Engineering Culture We believe that "Simplicity is a prerequisite for reliability." We are looking for engineers who align with our core values:   - Simplicity: We avoid over-engineering. We prefer the tools we already have and the most straightforward solutions over "shiny new toys." - Quality: We write code that is a pleasure to read because we know code is written once but read many times. We don't cut corners, and we polish to a high level before shipping. - Extreme Ownership: We don't just do the minimum. We expect you to understand the "why" behind your work and own the ultimate goal of fixing problems at their root cause, avoiding temporary band-aids. - Prioritization: We focus relentlessly on what is important, not just what is urgent.   Read more about some of our Technical challenges here (written by members of our engineering team): https://sensortower.com/blog/speeding-up-the-backend-with-graph-theory   https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Remote - Global Who We Are: Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. Your Role: As a Site Reliability Engineer at Alpaca, you'll help keep our brokerage platform reliable, observable, and operable as we grow - working across our cloud infrastructure, Kubernetes platform, observability stack, messaging layer, and data layer. We're especially interested in candidates with strong PostgreSQL fundamentals who'd like to grow into deeper ownership of our database reliability posture: PostgreSQL sits on the trading-critical path, and we want this person to spend a meaningful share of their time leveling it up while still being a well-rounded SRE the rest of the week. Things You Get To Do Operate production day-to-day - oncall, incident response, postmortems, and the follow-ups that actually close the loop. Own reliability practice - define and refine SLIs/SLOs and error budgets, and help product teams live within them. Strengthen our observability across metrics, logs, traces, and alerting. Ship infrastructure through code in a GitOps workflow - cloud resources and Kubernetes workloads alike. Look after PostgreSQL : performance tuning, schema and migration review, online migrations on large tables, HA/DR, and CDC pipelines. Mentor engineers on reliability and database fundamentals through code review, design review, and pairing. Who You Are (must-haves) 4+ years in SRE, DevOps, Platform/Infrastructure, or backend engineering with significant production operations ownership. Hands-on experience operating production services on Kubernetes , and shipping infrastructure as code in a GitOps workflow. Solid working knowledge of PostgreSQL in production — query plans, pg_stat_*, indexing and schema trade-offs, and what a safe online migration looks like on a non-trivial table. Cloud networking fundamentals (VPCs, routing, L4/L7 load balancing, DNS, TLS) and comfort debugging cross-service connectivity. Comfortable with a modern observability stack and proficient with Linux at the operator level. Practiced in incident response - calm under pressure, structured debugging, postmortems that drive change. At least working proficiency in Go or Python , plus strong written and verbal communication. Genuine interest in databases and in growing your PostgreSQL/DBA expertise. Who You Might Be (Nice-to-Haves): Deeper PostgreSQL experience: large clusters at OLTP load, online migrations on big tables, HA/DR ownership, connection pooling at scale, or change-data-capture pipelines. Experience with typed SQL access layers in Go (e.g. pgx, gorm, sqlc). Production experience with messaging systems at scale (e.g. RabbitMQ, Kafka, Redpanda). Security & compliance experience in a regulated environment (SOC 2, secrets management, audit logging). Familiarity with trading, brokerage, or other regulated fintech domains. How We Take Care of You: Competitive Salary & Stock Options Health Benefits New Hire Home-Office Setup: One-time USD $500 Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. Recruitment Privacy Policy

Location: Pakistan; Philippines; Mexico; Colombia; South Africa; India About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, SaaS platforms, and digital-first businesses. Unlike traditional outsourcing models, you are placed directly with a client as an in-house team member, contributing to impactful, real-world products. Role Type: Full-time Engagement: Independent Contractor About the Company Our client is a fast-growing performance marketing agency that helps direct-to-consumer (DTC) brands scale profitably through Paid Media, Conversion Rate Optimization (CRO), creative strategy, and conversion-focused publisher networks. Acting as an extension of their clients’ in-house growth teams, they specialize in rapid testing, high-converting funnels, and data-driven experimentation to drive measurable revenue growth. Job Summary We're looking for a detail-oriented QA Engineer to join one of our growing client teams. This is an excellent opportunity for someone passionate about software quality, testing best practices, and delivering exceptional user experiences. You'll work closely with developers, product managers, and designers to ensure applications meet the highest standards before release. Whether you specialize in manual testing, automated testing, or both, you'll play a key role in identifying issues, improving product reliability, and helping build software that customers love. Key Responsibilities Design, execute, and maintain comprehensive test plans and test cases. Perform manual functional, regression, integration, exploratory, and user acceptance testing. Develop and maintain automated test scripts where applicable. Identify, document, prioritize, and track software defects. Work closely with software engineers to reproduce and resolve bugs. Participate in sprint planning, backlog grooming, and release planning. Validate new features, enhancements, and bug fixes before deployment. Perform API testing and verify backend functionality. Test web, mobile, and cloud-based applications across multiple browsers and devices. Collaborate with product and engineering teams to improve overall software quality. Contribute to continuous improvement of QA processes, documentation, and testing standards. Monitor application performance and usability during testing. Support production releases and perform post-release validation. Requirements 2+ years of experience in Software Quality Assurance (QA) or Software Testing. Strong understanding of the Software Development Life Cycle (SDLC), Software Testing Life Cycle (STLC), and Agile/Scrum methodologies. Experience performing both manual and automated testing across web, mobile, or SaaS applications. Proficiency with QA and testing tools such as Selenium, Cypress, Playwright, Appium, Postman, Swagger, JMeter, TestRail, Zephyr, Xray, Jira, Azure DevOps, Git, GitHub, GitLab, Jenkins, GitHub Actions, Docker, BrowserStack, and similar industry-standard platforms. Familiarity with programming or scripting languages such as JavaScript, TypeScript, Java, Python, C#, or SQL. Experience testing APIs, databases, cross-browser functionality, performance, and cloud-based applications using modern QA tools and frameworks. Strong analytical, troubleshooting, and problem-solving skills with exceptional attention to detail. Excellent written and verbal communication skills, with the ability to collaborate effectively with cross-functional engineering and product teams. Comfortable working independently in a fully remote, fast-paced environment. Nice to have: experience testing SaaS or mobile applications (iOS/Android), accessibility (WCAG), security or penetration testing, AI-assisted testing tools, distributed remote teams, and an ISTQB certification. Benefits 💰 Competitive salary based on experience and seniority 🚀 Work on impactful, user-facing products with a global reach 📈 Clear career progression in a high-growth tech environment 🌎 Fully remote role with an international team. 🎓 Access to ongoing learning and professional development. 🤝 Collaborative engineering culture with modern development practices.

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW We’re looking for a senior operator to own the quality bar behind Harvey’s human evaluations. As we scale globally, the volume of eval work is growing 10x, but volume only matters if the output is trusted. This role makes Human Data’s signal decision-grade: rigorous, calibrated, and reproducible enough that Product, Engineering, and AI Research act on it to ship. As a member of our Evaluation Operations team, you’ll work alongside our Evaluation Operations Manager (who runs throughput and coordination) and partner closely with Applied Legal Researchers, Product, Engineering, and AI Research. You'll set the standard for what "good" looks like across eval data and methodology, and own the data analyses to make conclusions that teams will rely on, building the stakeholder trust that lets EPD act on the signal. WHAT YOU'LL DO - Own the quality bar for Harvey’s human evaluations: define what “good” looks like for eval methodology and data analysis, and produce decision-grade outputs for EPD - Author and maintain the evaluation guidelines, instructions, and databases that contract attorneys work from - Standardize and streamline rubric and evaluation design into repeatable templates and one documented methodology, partnering with Applied Legal Research (ALR), who supplies feature-specific legal depth - Own contract-attorney quality: onboarding, calibration training, inter-rater reliability, and the feedback loop (including benchmarks and gold references) that keeps judgment consistent across attorneys and over time - Conducting quantitative and qualitative statistical analyses, diagnosing error states, investigating root causes, and turning raw eval results into a structured, prioritized signal Product and ALR can act on - Run QA on vendor and contract-attorney deliverables against a defined bar before results inform a launch decision - Ensure the quality bar holds across jurisdictions and non-English geographies as coverage expands - Establish one standard, documented way to analyze eval results, and build lightweight operational dashboards to track rater capability and eval-program health - Support ALR in a review step that certifies an evaluation is sound before it scales to contract attorneys - Partner with ALR and Analytics to determine where human eval aligns with online signal and where it can provide expanded insights WHAT YOU HAVE - 6+ years in product operations, research operations, evaluation/QA operations, or quality program management - A track record of owning quality inputs (guidelines, instructions, benchmarks, QA procedures) for complex, expert-driven or human-in-the-loop work - Experience onboarding, training, and calibrating a distributed pool of expert raters, annotators, or reviewers, and running the feedback loop that improves their quality over time - Enough grounding in measurement concepts (calibration, inter-rater reliability, sampling, rubric design) to independently set up and own the quality of our evaluation loop yourself - Experience with running quantitative and qualitative data analyses, interpreting and running statistical tests on evaluation data (natively or with AI tool support), and communicating conclusions to various stakeholders - A record of scaling and streamlining evaluation quality processes under shipping pressure, with a bias toward documentation and reproducibility over one-off analysis - Ability to work deeply with domain experts (e.g., ALR / lawyers) and translate nuanced judgment into repeatable, documented standards - Strong cross-functional coordination across Product, Engineering, Research, ALR, and data providers/vendors - Clear communicator who can build credibility and trust with stakeholders - Bias to action and high ownership, from writing the guideline to auditing a vendor batch line by line BONUS POINTS - Experience in legal tech or working with domain experts in regulated industries - Experience owning quality across multiple markets, languages, or jurisdictions - Built calibration, inter-rater reliability, or capability-tracking systems for annotation or evaluation pipelines - Experience transitioning evaluation work in-house or otherwise improving evaluation ROI - Familiarity with LLM-as-judge / automated evaluation used alongside human eval - Early employee at a hyper-growth startup, or experience at a world-class product or platform operations org COMPENSATION $155,400 - $233,200 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-CD1 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: Al Khobar, Saudi Arabia; Al Jubail, Saudi Arabia; Riyadh, Saudi Arabia; Lusail, Qatar; Dubai, United Arab Emirates The Procurement Engineer is responsible for managing the complete procurement lifecycle for EPC projects, including sourcing materials, equipment, long-lead items, and subcontracted services. The role ensures cost-effective purchasing, timely delivery, compliance with technical specifications, and adherence to project schedules while supporting successful project execution. Key Responsibilities Manage the end-to-end procurement process for project materials, equipment, long-lead items, and subcontracted services in accordance with project requirements. Prepare RFQs, evaluate supplier quotations, and conduct technical and commercial bid evaluations with engineering and project teams. Negotiate pricing, delivery schedules, payment terms, warranties, and contractual conditions to achieve the best commercial outcomes. Prepare purchase orders, procurement recommendations, and contract documentation for management approval. Coordinate with engineering, planning, QA/QC, logistics, construction, and project management teams to ensure timely procurement and material delivery. Monitor supplier performance, expedite critical deliveries, and resolve procurement issues that could impact project schedules. Develop and maintain strong relationships with approved vendors while identifying new suppliers to improve quality, cost, and delivery performance. Track procurement progress, maintain procurement schedules, and provide regular status reports to project management. Ensure compliance with company procurement procedures, client specifications, contractual obligations, and applicable HSE and quality standards. Maintain accurate procurement records, vendor databases, and documentation while supporting project cost control and procurement risk management Requirements Bachelor's degree in Mechanical, Electrical, Civil, Industrial Engineering, or a related engineering discipline. Minimum 15 years of procurement experience with reputed EPC contractors. At least 5 years of experience in EPC projects within Oil & Gas, Petrochemical, Power, Infrastructure, or Industrial sectors. Proven experience in procuring long-lead items, critical equipment, bulk materials, and subcontracted services for major EPC projects. Strong knowledge of EPC procurement processes, contract administration, supplier qualification, and commercial negotiations. Experience in international and local sourcing, vendor development, supplier evaluation, and procurement planning. Proficiency in ERP systems such as SAP, Oracle, or equivalent procurement software, along with Microsoft Office applications. Professional certifications such as CIPS, CPM, or equivalent are preferred. Excellent analytical, negotiation, communication, and stakeholder management skills with the ability to work under project deadlines.

Location: Moldova OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy We’re looking for a Full Stack Developer to drive end-to-end solution delivery within our PMO department - leading a cross-functional team, shaping architecture, and ensuring high-quality, on-time releases. As part of our dynamic team, your responsibilities in this role will include: Drive the full product lifecycle – from rapid MVP scoping through maintainable production release Build responsive, well-crafted frontend components using modern frameworks Design and develop robust, scalable backend APIs and databases built for long-term maintainability Integrate and manage third-party APIs, ensuring seamless, reliable data flow Analyze data and build efficient data pipelines (strongly preferred) Collaborate with cross-functional teams to translate business requirements into clean technical solutions. Our ideal candidate possesses the following skills: Senior hands-on experience with modern frontend frameworks (React; Vue is a plus) Strong backend development skills, including API design and database management (PostgreSQL and/or MongoDB; Redis; S3) Strong command of Python and Node.js; experience building REST and/or GraphQL APIs Proficiency with AWS and Git; comfortable working with CI/CD pipelines Daily, practical use of AI coding assistants (Claude, Cursor, GitHub Copilot, or similar) with a disciplined workflow: you review and verify AI-generated code before merging, keep pull requests small and focused, and give and receive thorough code reviews Hands-on experience building with LLMs: prompt design, validating and evaluating model outputs, and monitoring and controlling usage costs Architecture-focused mindset: scalable systems, clean integration points, long-term maintainability Startup mindset: comfortable with ambiguity, fast iteration, and wearing multiple hats Set up and maintain engineering practices in the team: code review, small focused PRs, automated tests Experience with data/web scraping, MarTech, or SalesTech (highly desirable) Proficiency in Ukrainian and/or Russian language English proficiency at B2 level or higher. Nice to have: Data analysis and data pipeline experience. What we offer: Opportunity to shape the backbone systems of a modern, data-driven digital company A collaborative, innovation-first environment that values initiative and experimentation Reduced working hours on Fridays during the summer Schedule: Monday–Friday, 1 PM – 9 PM EET (including 1 hour break). Why join us? You’ll be at the intersection of technology, process innovation, and business growth – building systems that empower our teams to work smarter, faster, and more collaboratively. If you’re a strategic thinker who loves turning complexity into clarity and ideas into scalable solutions, we’d love to meet you. Hiring process: Interview with Recruiter Technical Interview Interview with Hiring Manager Offer. If you meet these criteria and are excited about contributing to our team, we encourage you to apply.

Location: Spain OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy We’re looking for a Full Stack Developer to drive end-to-end solution delivery within our PMO department - leading a cross-functional team, shaping architecture, and ensuring high-quality, on-time releases. As part of our dynamic team, your responsibilities in this role will include: Drive the full product lifecycle – from rapid MVP scoping through maintainable production release Build responsive, well-crafted frontend components using modern frameworks Design and develop robust, scalable backend APIs and databases built for long-term maintainability Integrate and manage third-party APIs, ensuring seamless, reliable data flow Analyze data and build efficient data pipelines (strongly preferred) Collaborate with cross-functional teams to translate business requirements into clean technical solutions. Our ideal candidate possesses the following skills: Senior hands-on experience with modern frontend frameworks (React; Vue is a plus) Strong backend development skills, including API design and database management (PostgreSQL and/or MongoDB; Redis; S3) Strong command of Python and Node.js; experience building REST and/or GraphQL APIs Proficiency with AWS and Git; comfortable working with CI/CD pipelines Daily, practical use of AI coding assistants (Claude, Cursor, GitHub Copilot, or similar) with a disciplined workflow: you review and verify AI-generated code before merging, keep pull requests small and focused, and give and receive thorough code reviews Hands-on experience building with LLMs: prompt design, validating and evaluating model outputs, and monitoring and controlling usage costs Architecture-focused mindset: scalable systems, clean integration points, long-term maintainability Startup mindset: comfortable with ambiguity, fast iteration, and wearing multiple hats Set up and maintain engineering practices in the team: code review, small focused PRs, automated tests Experience with data/web scraping, MarTech, or SalesTech (highly desirable) Proficiency in Ukrainian and/or Russian language English proficiency at B2 level or higher. Nice to have: Data analysis and data pipeline experience. What we offer: Opportunity to shape the backbone systems of a modern, data-driven digital company A collaborative, innovation-first environment that values initiative and experimentation Reduced working hours on Fridays during the summer Schedule: Monday–Friday, 1 PM – 9 PM EET (including 1 hour break). Why join us? You’ll be at the intersection of technology, process innovation, and business growth – building systems that empower our teams to work smarter, faster, and more collaboratively. If you’re a strategic thinker who loves turning complexity into clarity and ideas into scalable solutions, we’d love to meet you. Hiring process: Interview with Recruiter Technical Interview Interview with Hiring Manager Offer. If you meet these criteria and are excited about contributing to our team, we encourage you to apply.

Location: Romania OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy We’re looking for a Full Stack Developer to drive end-to-end solution delivery within our PMO department - leading a cross-functional team, shaping architecture, and ensuring high-quality, on-time releases. As part of our dynamic team, your responsibilities in this role will include: Drive the full product lifecycle – from rapid MVP scoping through maintainable production release Build responsive, well-crafted frontend components using modern frameworks Design and develop robust, scalable backend APIs and databases built for long-term maintainability Integrate and manage third-party APIs, ensuring seamless, reliable data flow Analyze data and build efficient data pipelines (strongly preferred) Collaborate with cross-functional teams to translate business requirements into clean technical solutions. Our ideal candidate possesses the following skills: Senior hands-on experience with modern frontend frameworks (React; Vue is a plus) Strong backend development skills, including API design and database management (PostgreSQL and/or MongoDB; Redis; S3) Strong command of Python and Node.js; experience building REST and/or GraphQL APIs Proficiency with AWS and Git; comfortable working with CI/CD pipelines Daily, practical use of AI coding assistants (Claude, Cursor, GitHub Copilot, or similar) with a disciplined workflow: you review and verify AI-generated code before merging, keep pull requests small and focused, and give and receive thorough code reviews Hands-on experience building with LLMs: prompt design, validating and evaluating model outputs, and monitoring and controlling usage costs Architecture-focused mindset: scalable systems, clean integration points, long-term maintainability Startup mindset: comfortable with ambiguity, fast iteration, and wearing multiple hats Set up and maintain engineering practices in the team: code review, small focused PRs, automated tests Experience with data/web scraping, MarTech, or SalesTech (highly desirable) Proficiency in Ukrainian and/or Russian language English proficiency at B2 level or higher. Nice to have: Data analysis and data pipeline experience. What we offer: Opportunity to shape the backbone systems of a modern, data-driven digital company A collaborative, innovation-first environment that values initiative and experimentation Reduced working hours on Fridays during the summer Schedule: Monday–Friday, 1 PM – 9 PM EET (including 1 hour break). Why join us? You’ll be at the intersection of technology, process innovation, and business growth – building systems that empower our teams to work smarter, faster, and more collaboratively. If you’re a strategic thinker who loves turning complexity into clarity and ideas into scalable solutions, we’d love to meet you. Hiring process: Interview with Recruiter Technical Interview Interview with Hiring Manager Offer. If you meet these criteria and are excited about contributing to our team, we encourage you to apply.

Location: Poland OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy We’re looking for a Full Stack Developer to drive end-to-end solution delivery within our PMO department - leading a cross-functional team, shaping architecture, and ensuring high-quality, on-time releases. As part of our dynamic team, your responsibilities in this role will include: Drive the full product lifecycle – from rapid MVP scoping through maintainable production release Build responsive, well-crafted frontend components using modern frameworks Design and develop robust, scalable backend APIs and databases built for long-term maintainability Integrate and manage third-party APIs, ensuring seamless, reliable data flow Analyze data and build efficient data pipelines (strongly preferred) Collaborate with cross-functional teams to translate business requirements into clean technical solutions. Our ideal candidate possesses the following skills: Senior hands-on experience with modern frontend frameworks (React; Vue is a plus) Strong backend development skills, including API design and database management (PostgreSQL and/or MongoDB; Redis; S3) Strong command of Python and Node.js; experience building REST and/or GraphQL APIs Proficiency with AWS and Git; comfortable working with CI/CD pipelines Daily, practical use of AI coding assistants (Claude, Cursor, GitHub Copilot, or similar) with a disciplined workflow: you review and verify AI-generated code before merging, keep pull requests small and focused, and give and receive thorough code reviews Hands-on experience building with LLMs: prompt design, validating and evaluating model outputs, and monitoring and controlling usage costs Architecture-focused mindset: scalable systems, clean integration points, long-term maintainability Startup mindset: comfortable with ambiguity, fast iteration, and wearing multiple hats Set up and maintain engineering practices in the team: code review, small focused PRs, automated tests Experience with data/web scraping, MarTech, or SalesTech (highly desirable) Proficiency in Ukrainian and/or Russian language English proficiency at B2 level or higher. Nice to have: Data analysis and data pipeline experience. What we offer: Opportunity to shape the backbone systems of a modern, data-driven digital company A collaborative, innovation-first environment that values initiative and experimentation Reduced working hours on Fridays during the summer Schedule: Monday–Friday, 1 PM – 9 PM EET (including 1 hour break). Why join us? You’ll be at the intersection of technology, process innovation, and business growth – building systems that empower our teams to work smarter, faster, and more collaboratively. If you’re a strategic thinker who loves turning complexity into clarity and ideas into scalable solutions, we’d love to meet you. Hiring process: Interview with Recruiter Technical Interview Interview with Hiring Manager Offer. If you meet these criteria and are excited about contributing to our team, we encourage you to apply.

Location: Palo Alto, California, New York City, New York Aptos is a people-first blockchain on a mission to help billions of people achieve universal and fair access to decentralized assets in a safe and scalable way. Founded by some of the original creators and maintainers that researched, designed, and built the Diem blockchain to serve this purpose, we have dedicated several years toward this mission. We believe the open-source Diem technology we have developed is an important foundation of a safe and scalable web3 world where everyone has more equitable opportunities to grow and access financial assets with lower fees and fewer intermediaries. Aptos (Ohlone for "The People") encompasses our mission and ethos for why we build. About The Role We're looking for a talented, driven Senior Software Engineer to build the critical infrastructure that powers trading on Aptos. This role will have significant impact and visibility - the systems you build will directly enable billions of volume on Aptos. You'll work on APIs, indexers, node infrastructure, SDKs, and developer tools that form the foundation for trading and trading products. You'll help shape technical direction and may grow into leading other engineers as the team scales. You should love solving hard distributed systems problems and have a passion for building robust, scalable infrastructure. You will be joining a lean team with a lot of autonomy – you should be a self-starter and thrive on self-directed work in a fast-paced environment. This role sits in our Palo Alto, CA or New York, NY office. What you'll be doing: Leading initiatives to design, build, and optimize backend services and platform infrastructure for the Aptos blockchain Developing scalable APIs, indexing services, and data pipelines to support trading data access Building and maintaining infrastructure for trading Writing clean, performant, well-tested, and production-ready code Collaborating closely with protocol engineers, infrastructure teams, and product engineers What you bring: 5+ years of experience building and shipping scalable backend systems Strong experience building backend systems in languages such as Rust, Go, C++, Java, Python, or similar Deep understanding of systems programming concepts Strong understanding of distributed systems, databases, and API design Strong problem-solving skills and the ability to work autonomously in a fast-paced environment Experience with blockchain infrastructure, indexing, or node operations (a plus) Web3 experience or familiarity (a plus) Background in payments, DeFi, or TradFi (a plus) Comfortable leveraging AI tools to enhance productivity and code quality The base salary range for this full-time position is $150k - $250k. The range displayed on each job posting reflects the minimum and typical maximum target for new hire salaries for the position of a candidate based in the Bay Area at any level. We do hire exceptionally talented professionals with decades of experience in their field. As such, our range may be higher than what is displayed. Our base salary ranges are determined by experience and location, and we hire at all levels for multiple roles. Within the range, individual pay is determined by work location, job-related skills demonstrated during the interviews, working experience, and relevant education or training. Please note that the compensation details listed in role postings reflect the base salary only and do not include equity, tokens, or benefits. #LI-PG1 Our Benefits 100% insurance premium coverage for medical, dental, and vision for you and your dependents (US Employees) Equipment of your choice Flexible vacation time, 11 holidays, and floating company days off Competitive Salary Protocol Token Grants 401k matching (US Employees) Fun and inclusive in-person and digital events Aptos is committed to diversity in the workplace, and we’re proud to be an Equal Opportunity Employer. We do not hire on the basis of race, color, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by local, state or federal law. All employment is decided based on qualifications, merit, and business need. We are committed to providing a safe and secure hiring process for all applicants. Unfortunately, there are individuals who may attempt to impersonate Aptos or our employees for fraudulent purposes. To protect yourself, please be aware of the following: We will never ask you for payment of any kind during the application or onboarding process, including fees for background checks, training, or equipment. We will always communicate with you using our official company email domain. We will never request your personal financial information, such as your social security number or bank account details, during the initial application stages or via email or a video/voice call when onboarding.

Location: Ukraine OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy We’re looking for a Full Stack Developer to drive end-to-end solution delivery within our PMO department - leading a cross-functional team, shaping architecture, and ensuring high-quality, on-time releases. As part of our dynamic team, your responsibilities in this role will include: Drive the full product lifecycle – from rapid MVP scoping through maintainable production release Build responsive, well-crafted frontend components using modern frameworks Design and develop robust, scalable backend APIs and databases built for long-term maintainability Integrate and manage third-party APIs, ensuring seamless, reliable data flow Analyze data and build efficient data pipelines (strongly preferred) Collaborate with cross-functional teams to translate business requirements into clean technical solutions. Our ideal candidate possesses the following skills: Senior hands-on experience with modern frontend frameworks (React; Vue is a plus) Strong backend development skills, including API design and database management (PostgreSQL and/or MongoDB; Redis; S3) Strong command of Python and Node.js; experience building REST and/or GraphQL APIs Proficiency with AWS and Git; comfortable working with CI/CD pipelines Daily, practical use of AI coding assistants (Claude, Cursor, GitHub Copilot, or similar) with a disciplined workflow: you review and verify AI-generated code before merging, keep pull requests small and focused, and give and receive thorough code reviews Hands-on experience building with LLMs: prompt design, validating and evaluating model outputs, and monitoring and controlling usage costs Architecture-focused mindset: scalable systems, clean integration points, long-term maintainability Startup mindset: comfortable with ambiguity, fast iteration, and wearing multiple hats Set up and maintain engineering practices in the team: code review, small focused PRs, automated tests Experience with data/web scraping, MarTech, or SalesTech (highly desirable) English proficiency at B2 level or higher. Nice to have: Data analysis and data pipeline experience. What we offer: Opportunity to shape the backbone systems of a modern, data-driven digital company A collaborative, innovation-first environment that values initiative and experimentation Reduced working hours on Fridays during the summer Schedule: Monday–Friday, 1 PM – 9 PM EET (including 1 hour break). Why join us? You’ll be at the intersection of technology, process innovation, and business growth – building systems that empower our teams to work smarter, faster, and more collaboratively. If you’re a strategic thinker who loves turning complexity into clarity and ideas into scalable solutions, we’d love to meet you. Hiring process: Interview with Recruiter Technical Interview Interview with Hiring Manager Offer. If you meet these criteria and are excited about contributing to our team, we encourage you to apply.

Задачи: — разработка на SQL и PL/SQL с использованием Oracle Database — анализ и оптимизация сложных SQL-запросов — рефакторинг легаси-кода и предложение эффективных решений — работа с low-code платформой Hi-Квадрат / XSQUARE, включая решение проблем с кэшем, отображением ошибок и сохранением данных — самостоятельная работа в условиях неполного ТЗ, генерация идей и поиск решений — участие в миграции данных между СУБД, в перспективе переход с Oracle на PostgreSQL Требования: — уверенное владение SQL и PL/SQL, опыт разработки на Oracle Database от 4 лет — глубокое понимание архитектуры Oracle — опыт анализа и оптимизации SQL-запросов — готовность быстро разбираться в новой low-code платформе без подробной документации — системное мышление, проактивность, инициативность — опыт в финтехе или страховании — навыки командной работы с аналитиками и тестировщиками в крупной команде (~60 человек) Желательные требования: — опыт работы с PostgreSQL — опыт работы с Oracle APEX — опыт работы в крупных проектах — опыт построения архитектуры и проектирования интерфейсов

Location: Hong Kong SAR; Kuala Lumpur, Malaysia About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. Job responsibilities Red-blue confrontation drill Responsible for developing and executing penetration testing, red-blue confrontation, and practical attack and defense drills that simulate real attack scenarios, identifying potential security risks in enterprise networks, applications, cloud environments, work networks, and core business systems. Lead or participate in red-blue confrontation exercises to evaluate the defense team's ability in attack detection, alarm analysis, traceability analysis, emergency response, and recovery. Based on the real attack chain design exercise scenario, covering extranet breakthrough, web vulnerability exploitation, phishing entrance, privilege escalation, lateral movement, Data Discovery, privilege maintenance, and defense bypass stages. Combining the attack review results, promote the continuous optimization of security detection rules, response processes, asset governance, and security base lines. Attack Surface Analysis and Threat Research Identify enterprise network exposure, internet assets, cloud assets, APIs, supply chain components, and third-party access risks, evaluate attack paths, and provide mitigation recommendations. Monitor and collect threat intelligence, track vulnerability exploitation trends, APT attack methods, red team toolchain changes, and apply them to enterprise attack and defense exercises. Combining business scenarios to model attack paths and discover feasible attack chains from external exposure surfaces to core assets. Tracking AI-related security risks, including security issues in large-scale model applications, RAG systems, Agent systems, plug-in/tool calls, MCP services, AI code generation, and automated workflows. AI Security and Large Model Attack and Defense Responsible for the security evaluation of AI applications, intelligent agent systems, RAG Knowledge Base, AI Agent toolchain and model services within the enterprise. Research and verify large-scale model-related attack techniques, including Prompt Injection, Jailbreak, Indirect Prompt Injection, data leakage, unauthorized tool invocation, security risks caused by model illusions, RAG poisoning, vector library pollution, sensitive information leakage, etc. Design AI red team test cases and evaluation framework, and conduct security verification on model input and output, context isolation, permission control, tool call chain, and data access boundary. Participate in the construction of AI security protection plan, including prompt word security policy, content security detection, tool call permission constraints, sensitive data desensitization, audit tracking, Agent sandbox isolation and security evaluation benchmark construction. Explore the application of AI in red team automation, vulnerability analysis, attack path planning, PoC verification, and report generation, and promote the platformization, automation, and intelligence of attack and defense capabilities. Tool and platform development Develop and optimize Red Team-specific tools and scripts for vulnerability mining, information collection, privilege escalation, lateral movement, credential analysis, traffic disguise, defense bypass, and automated report generation. Study and validate new attack techniques, and simulate real threats in combination with enterprise business scenarios. Build or participate in the construction of automated security evaluation platform, integrated vulnerability scanning, audio fingerprint recognition, asset mapping, PoC verification, attack path analysis, AI Agent arrangement and other capabilities. Combining LLM/Agent technology to explore automated penetration testing, intelligent vulnerability verification, code security auditing, and red team task scheduling. Security evaluation and reporting Conduct security evaluations on critical business systems, internal networks, cloud environments, work end points, API services, and AI applications, and output detailed technical reports, attack paths, impact analysis, and repair recommendations. Output AI security evaluation reports for AI applications, including attack examples, risk levels, exploitable paths, data leakage risks, permission boundary issues, and governance recommendations. Assist in improving enterprise security protection mechanisms, promote optimization of WAF, EDR, SIEM, NDR, HIDS, zero trust, identity permissions, and log auditing capabilities. Transform attack and defense discovery into security detection rules, base line specifications, develop security requirements, and continuous governance mechanisms. XFN collaboration Collaborate with the blue team, security operation, infrastructure, R & D, algorithm, data, and business teams to complete attack review, vulnerability repair, detection rule optimization, and security capability building. Provide security support to other departments of the enterprise, including emergency response drills, development security consulting, AI application pre-launch security review, and security training. Participate in the security design review of AI applications and security products, and promote the advance of security capabilities in R & D, testing, and Pushonline. Job requirements Basic skills Proficient in basic knowledge of cyber security, including TCP/IP protocol, network architecture, identity authentication, access control, principles and configurations of common security devices. Proficient in common attack techniques and red team toolchains, such as Sliver, Cobalt Strike, NPS, Burp Suite, Metasploit, Nmap, Masscan, Frida, Impacket, etc. Familiar with mainstream operating systems Windows, Linux, macOS security mechanism, log system, permission model and common use. Familiar with common web frameworks, API architectures, microservice structures, containers, and security risks in Kubernetes environments. Offensive and defensive technical capabilities Proficient in penetration testing and red team processes, including information collection, vulnerability scanning, vulnerability exploitation, intranet penetration, privilege escalation, lateral movement, privilege maintenance, Data Discovery, and trace cleaning. Familiar with the working principles and adversarial methods of enterprise-level security products, including WAF, EDR, SIEM, NDR, HIDS, zero-trust gateway, bastion host, and identity authentication system. Possess independent vulnerability analysis and PoC writing capabilities, able to reproduce, verify, and assess the impact of public vulnerabilities and 0day/1day risks. Proficient in one or more programming/scripting languages, such as Python, Go, Bash, PowerShell, JavaScript, etc., with experience in tool development and automation platform construction. AI security capabilities Familiar with the basic architecture of large-scale model applications, familiar with technical forms such as Prompt, RAG, Embedding, vector databases, Agent, Function Calling, MCP, and plugin systems. Understand or practice AI security testing methods, including Prompt Injection, Jailbreak, RAG data poisoning, sensitive information leakage, unauthorized tool invocation, model output security, Agent permission escape, etc. Able to design security test cases for AI applications, evaluate model input/output, context isolation, data boundaries, permission control, and tool invocation chain risks. Experience in using AI to assist security work, including vulnerability analysis, code auditing, intelligence analysis, attack path planning, report generation, or automated testing. Familiar with AI application security governance ideas, including model call auditing, prompt word security, sensitive data protection, content security detection, permission minimization, and sandbox isolation. Experience requirements More than 5 years of experience in red team, penetration testing, security research, or offensive and defensive exercises. Candidates with experience in large-scale enterprise attack and defense drills, red-blue confrontation, HW/major support, cloud attack and defense, or intranet penetration are preferred. Candidates with experience in AI security, large-scale model security, intelligent agent security, automated penetration testing platform or security tool platform construction are preferred. Familiar with enterprise security construction system, able to promote defense capability, detection capability, and governance process optimization from an attack perspective. Other capabilities Priority will be given to those who hold security-related certifications such as ♀ P, OSCE, CISSP, CISP, CEH, CISSP, CCSP, etc. Possess strong document writing and expression abilities, able to output high-quality technical reports, review documents, attack chain analysis, and security construction plans. Possess good problem analysis ability, learning ability, teamwork ability, and stress resistance. Be sensitive to new technologies, new Attack Surfaces, and new tools, and be able to proactively research and share internally. Bonus points Familiar with Cloud Computing Platform security and cloud attack and defense technologies, such as AWS, Azure, GCP, Tencent Cloud, Alibaba Cloud, etc. Familiar with Kubernetes, containers, Service Mesh, CI/CD, DevSecOps and supply chain security. Possess experience in zero trust, secure operation, threat hunting, Attack Surface management, and vulnerability management platform construction. Familiar with MCP Server, AI Agent framework, RAG system, vector database, LLM API gateway, model security evaluation framework. Experience in Automated Red Team, AI Penetration Testing, Intelligent Vulnerability Verification, Agent Orchestration, Security Knowledge Base or Security RAG System Construction. Experience in vulnerability submission, CVE, technical articles, open source projects, topic sharing, or tool release in the security community. Familiar with security frameworks such as MITRE ATT & CK, OWASP Top 10, OWASP LLM Top 10, NIST AI RMF, etc. Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Location: France Workplace: remote About the Project  We are looking for a Session Director to support live, supervised voice recording sessions for a multilingual conversational AI project in French (France). In this role, you'll facilitate recording sessions, provide real-time participant coaching, and monitor technical quality throughout, helping ensure recordings are natural, authentic, and meet project specifications.  What You'll Do  Manage session facilitation, real-time coaching, and recording quality monitoring throughout each session Why Join Welo Data?   ✨ Limitless Flexibility   Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.    🌱 Limitless Growth   Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.    🌍 Limitless Support   Be part of a global contributor community with responsive guidance and support.    💡 Real Impact   Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.     How to Apply?  Apply now by answering a few quick questions to join our database and become part of our growing community.    About Welo Data  Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.   At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.

Location: Quebec City, Canada Workplace: remote About the Project  We are looking for a Session Director to support live, supervised voice recording sessions for a multilingual conversational AI project in French (Quebec). In this role, you'll facilitate recording sessions, provide real-time participant coaching, and monitor technical quality throughout, helping ensure recordings are natural, authentic, and meet project specifications.  What You'll Do  Manage session facilitation, real-time coaching, and recording quality monitoring throughout each session Why Join Welo Data?   ✨ Limitless Flexibility   Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.    🌱 Limitless Growth   Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.    🌍 Limitless Support   Be part of a global contributor community with responsive guidance and support.    💡 Real Impact   Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.     How to Apply?  Apply now by answering a few quick questions to join our database and become part of our growing community.    About Welo Data  Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.   At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.

Location: Peru Workplace: remote About the Project  We are looking for a Session Director to support live, supervised voice recording sessions for a multilingual conversational AI project in Spanish (Peru). In this role, you'll facilitate recording sessions, provide real-time participant coaching, and monitor technical quality throughout, helping ensure recordings are natural, authentic, and meet project specifications.  What You'll Do  Manage session facilitation, real-time coaching, and recording quality monitoring throughout each session Why Join Welo Data?   ✨ Limitless Flexibility   Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.    🌱 Limitless Growth   Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.    🌍 Limitless Support   Be part of a global contributor community with responsive guidance and support.    💡 Real Impact   Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.     How to Apply?  Apply now by answering a few quick questions to join our database and become part of our growing community.    About Welo Data  Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.   At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.

Location: Mexico Workplace: remote About the Project  We are looking for a Session Director to support live, supervised voice recording sessions for a multilingual conversational AI project in Spanish (Mexico). In this role, you'll facilitate recording sessions, provide real-time participant coaching, and monitor technical quality throughout, helping ensure recordings are natural, authentic, and meet project specifications.  What You'll Do  Manage session facilitation, real-time coaching, and recording quality monitoring throughout each session  Complete approximately 8 hours of calibration prior to production, observing sessions to align on facilitation style, recording objectives, and workflow  Support recording sessions independently following calibration  Monitor recordings in real time, resolving technical or conversational issues as they arise to minimize re-records  What We're Looking For  Native-level fluency in Spanish (Mexico)  Experience facilitating recording sessions and coaching participants for natural, authentic delivery  Comfortable managing real-time technical quality monitoring (file format, recording specifications) during live sessions  Available to support sessions running approximately 4 hours each  Commitment & Compensation  Estimated time: Approximately 8 hours calibration, plus supervision across two recording sessions of ~4 hours each per participant  Compensation: $55.00 USD per hour  Work Type - Freelance Remote Why Join Welo Data?   ✨ Limitless Flexibility   Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.    🌱 Limitless Growth   Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.    🌍 Limitless Support   Be part of a global contributor community with responsive guidance and support.    💡 Real Impact   Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.     How to Apply?  Apply now by answering a few quick questions to join our database and become part of our growing community.    About Welo Data  Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.   At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.