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Location: Intellias Meet your recruiter Yuliia Serednia yuliia.serednia@intellias.com https://www.linkedin.com... Vacancy details Software Engineering Rust Engineer Senior Ukraine Remote APPLY NOW REFER A FRIEND Our client is a company that enables people, enterprises, and cities to harness the power of location. By making sense of the world through the lens of location, it empowers their customers to achieve better outcomes from helping a city manage its infrastructure or an enterprise optimize its assets to delivering drivers to their destination safely. What project we have for you Designing the MCP Server for the client’s API from scratch. This project focuses on the development of a robust and scalable MCP server. This server will act as a vital bridge, enabling AI agents and other MCP-compatible clients to intelligently interact with Client’s Location APIs. By creating this crucial piece of infrastructure, you will empower AI to understand and reason about the physical world, opening up new possibilities in logistics, autonomous systems, urban planning, and beyond. What you will do Design and implement core services for: MCP Server (tool registry, session management, protocol endpoints). MCP Content Delivery (streaming, heavy data transformation, async workers). Guardrails (usage quotas, rate limiting, anomaly detection, schema validation). Advanced trace collection and observability dashboards. Extend and maintain the McpEngine and its built-in navigational tools. Implementing the logic to interface with a diverse set of Location APIs, ensuring efficient and reliable data exchange. Optimize system performance for high-throughput/low-latency operations. Participate in code reviews, architecture discussions, and sprint planning. Collaborate closely with QA, DevOps, and BA to refine backlog items and deliver secure, high-quality releases. Contribute to documentation, runbooks, and best practices for maintainability and scalability. What you need for this 5+ years of professional experience in backend development with Rust. Solid understanding of distributed systems and high-load data processing (streaming, queuing, caching). Experience integrating with RESTful APIs (request/response modeling, error handling, retries, timeouts). Experience designing platform-agnostic cores, where business logic is decoupled from transport and serving layers. Good understanding of the Model Context Protocol (MCP) and its client-server architecture is highly desirable. Ability to design and maintain domain models and data types that map to external APIs and internal reasoning needs. Familiarity with tracing/logging and observability patterns in async Rust. Understanding of geospatial concepts: geocoding, routing, transit, traffic. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills MCP Rust SQL

Location: Intellias Meet your recruiter Samprati Muddalkar samprati.muddalkar@intellias.com https://www.linkedin.com... Vacancy details Software Engineering Scala Engineer Senior India, Pune Hybrid APPLY NOW REFER A FRIEND Our client is a is a location data and technology platform company that empower customers to achieve better outcomes – from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely. They create solutions that fuel innovation, provide opportunity and foster inclusion to improve people’s lives. If you are inspired by an open world and driven to create positive change, join us! As a Senior Backened Engineer in the Map Data Processing group you will develop smart Map Data processing tools for the state-of-the-art Mapping Technologies. You will work self-sustained in an agile team. Your responsibility will cover developing, extending and maintaining tool and services that processes map data for global navigational database. For that you will be translating product strategies into technology strategies, leading the long-term architectural direction and helping design and build industry-grade customer-facing geo-data-intensive products. You will work closely with other engineering & operations teams, internal users of tool chains your team develops and partner with product managers and the larger map operations business units. What project we have for you Join our engineering organization to build the next generation of automated map data processing for a global provider of location and mapping solutions used in automotive and mobility. You will work on the platform — a system that takes road data from multiple sources (GPS traces, traffic signs, open map data), detects errors in the map, and either auto-corrects them or flags them for human review. The platform produces quality signals and road attribute corrections that feed directly into navigation and autonomous driving products. Working as part of an agile, cross-functional team on Rakhee’s team, you will build and maintain backend services and distributed data pipelines that keep this platform accurate, reliable, and ready for production load. The primary language on this team is Scala — strong engineers in either language are welcome. What you’ll work on: Distributed batch pipelines for large-scale road dataset processing (Spark on EMR) Error detection, confidence-based auto-fix logic, and manual review workflows for map attributes Data validation, quality gates, and traceability across the pipeline Cloud-native execution environments (infrastructure automation, CI/CD, operational readiness) Technologies: Scala Python( Good to have) Apache Spark Kafka SQL / PostgreSQL AWS (Step Functions, ECS, Lambda, EMR) Apache Airflow Java ( Good to have) CI/CD (GitHub / GitLab) What you will do Design and implement scalable backend services and data processing pipelines Contribute to architecture and design discussions with reasoned technical input Own delivery end-to-end: development, testing, performance optimization, and production support readiness Implement and maintain testing practices (Unit, Integration, E2E) for owned components Contribute to monitoring, alerting, and observability of production systems Improve code quality via reviews, automated testing, and engineering best practices Contribute to estimations, planning, and iterative delivery in an Agile/Scrum process Share knowledge and support junior team members’ growth What you need for this Required Skills 5+ years building backend systems with Scala as your primary language (strong core competency in one — not a shallow familiarity in both) Distributed data processing — Apache Spark or equivalent (production usage required, regardless of whether your primary language is Scala or Python) Kafka — event-driven architecture, producers/consumers, production usage AWS — practical experience with EMR, Step Functions, ECS, or Lambda Strong SQL and data modeling — ideally PostgreSQL (schema design, query optimization, indexes) Solid knowledge of data structures, OOP, and design patterns Good understanding of concurrency and multithreading concepts LLD: modular architecture, clean abstractions, component design API design awareness: RESTful services, backward compatibility Testing strategy: unit, integration, E2E — deliberate approach to coverage Monitoring & observability: logging, metrics, alerting, dashboards in production systems CI/CD pipelines (GitHub / GitLab) and engineering best practices English: Upper Intermediate+ (written and spoken) Nice to Have The other primary language — if your primary is Scala, Python is a plus; if your primary is Python, Scala is a plus Java Apache Airflow or similar pipeline orchestration LLM/MCP tooling experience Experience with geospatial/map-related data or large-scale data quality systems What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills Apache AWS BigData DataEngineer EMR Kaffka Scala Spark

• Проектирование архитектуры высоконагруженной системы: целевая архитектура, состав компонентов, границы сервисов, интеграционные взаимодействия. • Разработка и ведение архитектурной документации: ADR, модели C4 (контекст, контейнеры, компоненты), RFC, схемы потоков данных, threat model.

Location: San Francisco, California About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities We're looking for an exceptional Senior Software Engineer to help build the distributed backend that powers our AI agent platform and the developer-facing products around it — the event-driven services, real-time integrations, and APIs that let agents reliably do real work. You'll be building the systems that need to stay correct and available on our path to 1M users over the next year. In this role, y ou will also be responsible to: Build event-driven, horizontally-scalable backend services that process work reliably and correctly even when parts of the system fail. Build real-time surfaces and integrations — streaming connections, gateways, and CLIs — that hold up under load. Integrate LLMs and agentic harnesses into production systems. Drive features end-to-end — from ideation and architecture through deployment, observability, and iteration. Raise the engineering bar through clean, well-tested code, thoughtful reviews, and mentorship. Requirements Qualifications / Experience / Technical Skills 5+ years shipping and operating production backend systems at scale. Strong proficiency in Python, and the judgment to write clean, well-tested, maintainable code under it. Deep distributed-systems fundamentals: you know how to keep systems correct and available under partial failure, backpressure, and load — and you design for it by default. Hands-on experience with event-driven, streaming, or real-time systems (queues, pub/sub, long-lived connections). Comfortable operating services in production on Kubernetes in the cloud — and instrumenting them with metrics, tracing, and dashboards so you can debug what you ship. Solid API and software-architecture instincts; you make and defend sensible trade-offs in ambiguity. LLM/agentic and developer-facing product experience (MCP, RAG, APIs, SDKs, CLIs) a strong plus. Our stack: Python, FastAPI, Postgres, Kubernetes, AWS. You don't need prior experience with all of it — we care that you can pick it up fast. Soft Skills / Personal Characteristics High agency and ownership: You drive work end-to-end, from ambiguity to shipped and iterated, without waiting to be told. A reliability mindset: You design for failure, not just the happy path. Product-minded:  You care about the users using what you build, not just the system behind it. AI-native: You use modern AI tooling (e.g., Claude Code) in your daily workflow and stay at the cutting edge of what it can do. Excellent written communication: We work async and write things down. (REQ ID: 3006)

Responsibilities: — Design and deploy on-premises Kubernetes clusters for high-load products. The role is within a fast-growing Russian tech company focused on software development for LTE/5G network management.

Location: Kansas City, Missouri, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About the role Duration: 3 months Start date: January 2027 Compensation: Paid Eligibility: Current University student (Computer Science or related field), Recent Graduate or Early Career specialist Work authorization: Permitted to work in the job's location Program Overview The Nebius IT Data Center Technician Early Talent program is a structured 3-month work experience designed to introduce early-career candidates to hands-on enterprise data center operations. Early talent participants are embedded on the data center floor as active team members alongside experienced DC Technicians and senior operations staff. Over the program, participants develop foundational technical skills, learn Nebius operational standards and safety procedures, and progress from fully supervised tasks toward working with increasing independence as their competency is demonstrated and validated. What You Will Do As an IT Data Center Technician Early Talent participant, you will work on the data center floor under the direct guidance of an experienced DC Technician. All hands-on work begins under close supervision. As you demonstrate proficiency and adherence to Nebius safety and operational standards, you will progressively take on tasks with greater independence — working toward completing assigned activities with minimal supervision by end of program. Hardware & Infrastructure Learn to identify, handle, and document server components, rack hardware, and data center equipment under direct technician supervision. Observe and assist with physical installation, cabling, and labeling of server hardware in rack enclosures under guidance. Assist with hardware inventory counts, asset tagging, and equipment tracking tasks as directed. Shadow and support technicians during component replacements, hardware decommissions, and equipment staging activities. Begin performing basic rack and stack tasks independently once foundational procedures have been trained and validated. Cabling & Connectivity Learn copper and fiber cabling standards, patch cord management, and labeling practices used at Nebius data center sites. Assist with cable organization, dressing, and documentation under direct technician guidance. Support connectivity checks and basic cable tracing tasks as assigned. Documentation & Ticketing Learn to use Nebius ticketing and asset management systems for logging work, updating hardware records, and tracking assigned tasks. Assist with documentation of equipment configurations, cable layouts, and maintenance activities under technician review. Begin entering and updating tickets independently for assigned work items once system proficiency is demonstrated. Safety & Operational Standards Complete all required Nebius data center safety training, site access procedures, and equipment handling certifications at program start. Follow all safety protocols, access controls, and site procedures at all times while on the data center floor. Never work unsupervised on live infrastructure or perform any task outside your validated scope without direct technician authorization. Observe and learn Nebius operational standards including shift handoff procedures, escalation practices, and incident documentation. Learning & Development Participate in structured weekly check-ins with your assigned DC Technician mentor to review skill progression and address questions. Complete assigned Nebius training modules covering hardware fundamentals, data center operations, and safety throughout the program. Shadow senior technicians during escalated incidents, complex deployments, and hardware troubleshooting activities to build technical awareness. Actively engage during shadowing activities and take initiative in building your technical knowledge base throughout the 3 months. Supervision & Progression Early talent participants begin under close, continuous supervision for all data center floor activities. This is not a desk-based or observation-only role — you are an active participant on the floor from day one. Progression follows a structured competency model: Weeks 1–3: Orientation and shadowing. All tasks under direct supervision with step-by-step guidance. Focus on safety, site familiarity, system access, and equipment identification. Weeks 4–7: Assisted execution. You perform assigned tasks with your mentor present and reviewing all completed work before sign-off. Weeks 8–10: Supervised independence. You complete defined tasks independently within your validated scope, checking in at key milestones. Technician remains nearby and available. Weeks 11–12: Demonstrated competency. Qualified participants work with minimal supervision on fully validated tasks; technician oversight maintained for any task outside established scope. Progression is based on demonstrated proficiency and adherence to Nebius standards — not time served. Participants who complete the program with strong evaluations will be considered for the Nebius early talent pipeline. Core Physical Requirements Ability to stand and remain on your feet for extended periods during active floor operations. Ability to safely lift and position equipment up to 50 pounds unassisted; heavier loads with team-lift support. Comfortable working at heights including ladders, raised platforms, and elevated data center infrastructure. Ability to work in confined spaces such as under raised floors, within rack enclosures, and in cable management pathways. Comfortable in environments with variable temperatures including cold aisle containment zones. Manual dexterity to handle small form-factor components, precision cabling, and fine connector installations. Ability to push or pull equipment carts and server sleds up to 500 pounds on level surfaces. Compensation We offer competitive salaries, ranging from $48k- $72k OTE (On Target Earnings) based on your experience Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $48,000 — $72,000 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Minnesota, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About the role Duration: 3 months Start date: January 2027 Compensation: Paid Eligibility: Current University student (Computer Science or related field), Recent Graduate or Early Career specialist Work authorization: Permitted to work in the job's location Program Overview The Nebius IT Data Center Technician Early Talent program is a structured 3-month work experience designed to introduce early-career candidates to hands-on enterprise data center operations. Early talent participants are embedded on the data center floor as active team members alongside experienced DC Technicians and senior operations staff. Over the program, participants develop foundational technical skills, learn Nebius operational standards and safety procedures, and progress from fully supervised tasks toward working with increasing independence as their competency is demonstrated and validated. What You Will Do As an IT Data Center Technician Early Talent participant, you will work on the data center floor under the direct guidance of an experienced DC Technician. All hands-on work begins under close supervision. As you demonstrate proficiency and adherence to Nebius safety and operational standards, you will progressively take on tasks with greater independence — working toward completing assigned activities with minimal supervision by end of program. Hardware & Infrastructure Learn to identify, handle, and document server components, rack hardware, and data center equipment under direct technician supervision. Observe and assist with physical installation, cabling, and labeling of server hardware in rack enclosures under guidance. Assist with hardware inventory counts, asset tagging, and equipment tracking tasks as directed. Shadow and support technicians during component replacements, hardware decommissions, and equipment staging activities. Begin performing basic rack and stack tasks independently once foundational procedures have been trained and validated. Cabling & Connectivity Learn copper and fiber cabling standards, patch cord management, and labeling practices used at Nebius data center sites. Assist with cable organization, dressing, and documentation under direct technician guidance. Support connectivity checks and basic cable tracing tasks as assigned. Documentation & Ticketing Learn to use Nebius ticketing and asset management systems for logging work, updating hardware records, and tracking assigned tasks. Assist with documentation of equipment configurations, cable layouts, and maintenance activities under technician review. Begin entering and updating tickets independently for assigned work items once system proficiency is demonstrated. Safety & Operational Standards Complete all required Nebius data center safety training, site access procedures, and equipment handling certifications at program start. Follow all safety protocols, access controls, and site procedures at all times while on the data center floor. Never work unsupervised on live infrastructure or perform any task outside your validated scope without direct technician authorization. Observe and learn Nebius operational standards including shift handoff procedures, escalation practices, and incident documentation. Learning & Development Participate in structured weekly check-ins with your assigned DC Technician mentor to review skill progression and address questions. Complete assigned Nebius training modules covering hardware fundamentals, data center operations, and safety throughout the program. Shadow senior technicians during escalated incidents, complex deployments, and hardware troubleshooting activities to build technical awareness. Actively engage during shadowing activities and take initiative in building your technical knowledge base throughout the 3 months. Supervision & Progression Early talent participants begin under close, continuous supervision for all data center floor activities. This is not a desk-based or observation-only role — you are an active participant on the floor from day one. Progression follows a structured competency model: Weeks 1–3: Orientation and shadowing. All tasks under direct supervision with step-by-step guidance. Focus on safety, site familiarity, system access, and equipment identification. Weeks 4–7: Assisted execution. You perform assigned tasks with your mentor present and reviewing all completed work before sign-off. Weeks 8–10: Supervised independence. You complete defined tasks independently within your validated scope, checking in at key milestones. Technician remains nearby and available. Weeks 11–12: Demonstrated competency. Qualified participants work with minimal supervision on fully validated tasks; technician oversight maintained for any task outside established scope. Progression is based on demonstrated proficiency and adherence to Nebius standards — not time served. Participants who complete the program with strong evaluations will be considered for the Nebius early talent pipeline. Core Physical Requirements Ability to stand and remain on your feet for extended periods during active floor operations. Ability to safely lift and position equipment up to 50 pounds unassisted; heavier loads with team-lift support. Comfortable working at heights including ladders, raised platforms, and elevated data center infrastructure. Ability to work in confined spaces such as under raised floors, within rack enclosures, and in cable management pathways. Comfortable in environments with variable temperatures including cold aisle containment zones. Manual dexterity to handle small form-factor components, precision cabling, and fine connector installations. Ability to push or pull equipment carts and server sleds up to 500 pounds on level surfaces. Compensation We offer competitive salaries, ranging from $48k- $72k OTE (On Target Earnings) based on your experience Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $48,000 — $72,000 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Remote Canada At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the InfoSec team The InfoSec team protects Affirm’s systems and data from evolving threats. We manage security risk, monitor vulnerabilities, and enforce protective controls across the company. The team leads incident response, compliance, identity and access management, and employee training. Our goal is to ensure that security is built into every system and decision at Affirm. We maintain a secure, trustworthy environment so the business can operate and grow with confidence. About the role In this role, you'll help mature Affirm's insider threat program. You'll build out the controls, detection use cases, and investigative practices that make it work day to day, support insider risk investigations, and partner with Legal, HR, Privacy, and Compliance to keep the program effective, proportionate, and trusted by Affirmers. What you’ll do Lead the build-out of key insider threat workstreams, from initial design through to day-to-day operation Build out the program's operating mechanics, including investigative standards, playbooks, and the metrics and reporting that show whether the program is working Support insider risk investigations alongside SIRT, bringing insider threat expertise, telemetry and evidence analysis, and written findings and risk recommendations Partner with Legal, HR/Employee Relations, Privacy, and Compliance on case handling and escalation criteria, helping ensure the program respects employee privacy and meets legal and regulatory obligations Threat model Affirm's highest-risk data and systems for insider risk, and partner with detection engineers to turn the results into production detections Own and improve the controls that reduce insider risk, including data loss prevention, endpoint monitoring, secure browser and contractor access controls, SaaS posture management, and access governance, working with system owners to close gap Automate the program's operational load with workflow automation platforms and Python, covering evidence collection, case routing, and reporting Build and expand agentic automations that assist with insider risk triage and investigation, and define which decisions stay with a human What we look for Deep expertise in security engineering, security operations, insider risk, or digital forensics Track record of standing up new security capabilities where little existed before Experience running investigations end to end, including evidence handling, log and endpoint forensics, timeline reconstruction, and written findings suitable for Legal and HR audiences Ability to write and evaluate detection logic against endpoint, identity, cloud, and SaaS telemetry in a SIEM (Splunk, Elastic, Panther, Chronicle, or similar) Hands-on experience with insider risk tooling such as DLP, UEBA, endpoint detection and response, CASB, and access governance, with a practical sense of their strengths and limits Working knowledge of Python for security tooling and automation Experience building and maintaining production workflows in automation platforms such as Tines, Torq, or similar Experience building and running agentic automations in production that assist with alert triage and investigation, such as LLM-driven enrichment, summarization, or first-pass analysis, with a clear view of where human review stays in the loop Discretion and sound judgment handling sensitive investigations, and comfort navigating the privacy, legal, and employee-relations considerations that insider work carries Clear written and verbal communication skills, with the ability to work across Security, Engineering, Legal, HR, Privacy, and Compliance Experience in regulated or financial services environments (SOC 2, PCI DSS, GLBA) is a plus Base Pay Grade - N Equity Grade - Canada 6 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). CAN base pay range per year: $153,000 - $213,000 $CAD. This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan. #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Bengaluru, Karnataka, India, APAC From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. ​ During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role We’re looking for a Senior Software Engineer for our data pipeline service to build and work on data pipelines that moves data from various sources to data warehouses. The work is very diverse — all the way from patching software to building warehouse data writers, to optimizing the behavior of sync services operating on our global Kubernetes compute cluster. You will be responsible for ensuring the technical excellence for your team and owned services, by contributing to the code, reviewing code, designing features and mentoring our junior colleagues. You will understand the key values that make our product great, and implement those values in the many small decisions you make every day as a product designer. Technologies You’ll Use Java, PostgreSQL, Cloud Data Warehouses, AWS, GCP, Azure, Temporal, Grafana , Kubernetes, Docker What You’ll Do Work on core features of the product, systematic enhancements, and bug fixes Write new or optimize the existing data writer platform to load data to warehouses You'll be working with Cloud APIs, Datawriters, SQL DBs, SQL Warehouses, etc You'll be working on the core data pipeline that moves terabytes of data from all our customer sources to data warehouses by processing data, splitting it into files formats like CSV/AVRO/Parquet, merging and loading to warehouses. As a senior engineer in the team, you will own and drive features within the technology team, pitch design ideas, work closely with leads in the team to perform design reviews, and contribute directly to code. Skills We’re Looking For Strong technical and problem-solving skills with 5+ years of professional experience writing Java code in the distributed production environment Experience in reliable data intensive distributed systems, with an emphasis on high-volume data management platforms that operate under strict SLAs Understanding complex SQL merge queries, plans, and their best practices Robust and reliable system design skills to satisfy project feature requirements and optimise the existing systems Strong troubleshooting skill to debug problems with in existing code, connect the dots, come up with detailed RCA Understand how to use AI code assist and coding agents to automatically generate code for features, bugs, testing, and investigation Ability to use conversational AI systems (like Claude, ChatGPT, and internal chatbots) to support researching, authoring, reviewing, and synthesizing various SDLC artifacts such as TDDs, PRDs, Postmortems, Test Plans, and Proposals Bonus Skills​ Experience with Data Warehouses like BigQuery, Databricks, SQL Like with exposure to their internals Experience in data processing (ETL, ELT) Experienced working in a cloud environment utilizing AWS, GCP, Azure, Kubernetes, Docker, BuildKite, or similar technologies. #LI-AV1 #LI-HYBRID Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

- experience leading engineering teams, with a strong backend background. - understanding of high-load systems (Go, Python, MySQL, Kubernetes).

Location: Global - Remote; United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Software Engineer We build the infrastructure that frontier AI labs use to evaluate coding agents and language models: benchmark datasets, agent evaluation runs at scale, and automated task quality checks. You would own features across the stack, from the data model and background jobs to the screens our users work in every day. This is a role for an experienced engineer who works independently, makes sound tradeoffs, and turns a loosely defined request into something shipped, tested, and safe to leave alone. What you will do Design and ship features end to end: data model, API, background workers, and the UI when the change needs it. Build and improve how agents and models are evaluated: running trials in sandboxed environments, scoring results, and turning thousands of runs into results people can trust. Improve how benchmark tasks are quality-checked: verifiers, rubric-based and LLM-as-a-judge grading, and deciding whether a task is clear, solvable, and fair to score. Integrate new models, agents, and benchmarks in a way that generalizes, without a special case for each one. Keep the system fast and reliable as usage grows: efficient queries, safe migrations, and concurrency that holds up under load. Review teammates’ pull requests against our engineering guidelines and help keep the codebase consistent. What you bring 5+ years building and operating production backend systems, with ownership of at least one service from design through on-call. Bachelor’s degree or higher in Software Engineering, Computer Science, or a related field. Strong Python and experience with Django (or a similar framework), PostgreSQL, and a task queue such as Celery. What matters most is having run a real system, not knowing a particular framework. Hands-on experience in LLM evaluation, beyond calling a model API. You understand how a benchmark task is built, how an agent trial is scored, and how results are aggregated and compared. Experience with Harbor, Terminal-Bench, SWE-bench, Inspect, or a similar harness is a strong plus. Judgment about task quality. You can spot ambiguous instructions, weak or gameable verifiers, leaked answers, and checks that pass for the wrong reason. Good tradeoffs. You reach for the smallest design that solves the problem, extend what already exists before adding something new, and can explain what you chose not to build. Ownership. You take a fuzzy request, find the relevant code, ask questions only when the answer changes the design, and finish the job, including migrations, tests, and edge cases users will hit. Quick adoption of team conventions. You read the written guidelines and your first pull requests already match them in naming, structure, tests, and error handling. Comfort with a TypeScript and React frontend when a change is visible there. You don’t need to be a frontend specialist. Clear writing. Your pull request descriptions and design notes explain why, not just what. Nice to have Experience running agents in sandboxed or containerized environments (Docker, Kubernetes, or cloud sandboxes such as Modal or Daytona). Experience with LLM-as-a-judge or rubric-based grading, and with reducing judge bias and noise. Familiarity with coding agents such as Claude Code, Codex, or OpenHands, and with MCP. Experience with distributed job scheduling, concurrency limits, or database locking at scale. Contributions to open-source evaluation or infrastructure projects. How we work Written engineering guidelines, applied consistently, with the same review bar for everyone. Business logic lives in services. Hot paths stay cheap. Lint and tests pass before a pull request is ready. The same vocabulary in the code, the API, and the UI. We prefer deleting code to adding it, and simple designs to clever ones. A strong first month looks like several changes merged with light review, and one area of the system you can change confidently without a guide. Compensation: $xxx,000 - $xxx,000 Base Salary + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: Remote (United States) Thank you for considering Tailscale. If this job description resonates with you, please apply. Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications. We encourage you to help us break that statistic! About Tailscale Tailscale is making safe connection effortless by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We're building a future for the Internet that's easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital. About the Role We are seeking a Product Manager to own Tailscale's networking features — the layer that decides how traffic finds its destination by name on top of Tailscale’s seamless mesh connectivity solution. Concretely, you will own four feature sets: App Connectors , DNS , Funnel , and Tailscale Serve & Services . A tailnet gives every device an identity and an address. Networking features are what turn addresses into something a person, a script, or an AI agent can actually use — a name, a service, an app, a URL. App Connectors route traffic to specific SaaS and private applications by name, so access follows the app rather than the IP. DNS — MagicDNS, split DNS, custom name servers, search domains Tailscale Serve & Services make a workload — not a machine — the unit of connectivity and access: addressable, load-balanced, and durable across the instances behind it. This is the wedge that lets customers replace a service registry, and eventually much of what they use a service mesh for, with Tailscale. Funnel is Tailscale's ingress story: securely exposing a Service running inside the tailnet to the public internet, from a hobbyist sharing a dev server to production webhooks and public endpoints. This is the most user-visible role in Tailscale's Dataplane Platform, and the work is as much product design as it is networking. DNS settings, connector topologies, and service definitions are configured by network engineers and IT admins in the admin console, API, and CLI, and the distance between "magical" and "unusable" is the object model, the defaults, and the error messages. See How Tailscale Works , Tailscale Funnel , and Four ways to Tailscale a service to learn more. Key Responsibilities Own the vision, strategy, and roadmap for Tailscale's networking features: App Connectors, DNS, Funnel, and Tailscale Services Own the operator experience across these surfaces: how network engineers and IT admins configure, segment, monitor, and troubleshoot them at scale, in both the admin console and the CLI Partner with GTM, Customer Success, and Solutions Engineering on production commitments and strategic deals, and champion the migration path from reverse proxies, bastion hosts, cloud ingress, and service meshes to Tailscale Build systematic customer insight across the full spread of Tailscale users, from a homelab operator exposing a media server through Funnel to a large enterprise replacing its service registry What We Are Looking For 7+ years in product management, including direct ownership of an application-layer connectivity product: reverse proxies, ingress controllers or gateways, API gateways, service mesh or service registry, DNS and traffic management, secure tunneling and exposure products, or identity-aware proxy connectors A track record of turning a complex networking system into a legible product surface: you can point to an object model, a set of defaults, or a configuration experience you designed and explain why it was right End-to-end ownership of a product area: strategy, requirements, launch (docs, enablement, rollout), and the iteration after launch Evidence of data-informed decisions — metrics you defined, instrumentation you pushed for, and at least one time the data changed your mind Nice To Have Experience with Product Led Growth and how to balance that with enterprise buying motions Kubernetes networking: ingress, Gateway API, operators, or service exposure patterns Hands-on experience with secure tunneling and exposure products (ngrok, Cloudflare Tunnel, Cloudflare Access, Teleport, Zscaler Private Access) as a builder or a heavy user Abuse prevention, rate limiting, or trust and safety work on a publicly exposed service Familiarity with VPN and tunneling protocols (WireGuard, IPsec), BGP, cloud VPC peering, or PrivateLink-style private connectivity Public technical writing, conference talks, or open-source contributions in networking Hands-on experience with Tailscale at work or at home As a company, we strive to maintain fair and equitable compensation practices within our team across all roles and all levels. Tailscale's compensation package includes base salary, equity, and comprehensive benefits. The salary range displayed on each job posting represents the target range for a new hire's base salary. Individual offers may vary based on experience and skill set. US Pay Range $177,000 — $221,000 USD What We Offer An inclusive, flexible environment where you can be your authentic self. We recognize the impact of diverse voices and backgrounds on the growth of our people, product, and company. And that flexibility in how and when you work empowers our team to integrate work and life. A competitive total compensation package. This includes a base salary, an equity incentive plan and variable commission (for quota-based roles). Comprehensive group benefits with no waiting period. Take advantage of coverage for health, vision, dental, and more for you and your family! Remote first company —most of our teams work fully remotely. Enjoy a change of scenery wherever you can get wifi, participate in virtual and in-person social events, and leverage our corporate co-working program to visit WeWork (or other similar spaces near you). Some roles require in-office collaboration depending on team needs, which will be clearly noted in the job description. Employer-funded retirement contributions. Tailscale will match your retirement contributions dollar-for-dollar, up to a maximum annual employer contribution equal to 0.75% of your eligible compensation. Connect with other Tailscalars IRL. Attend our annual company retreat, participate in team off-sites, and collaborate in person with teammates across Canada, the United States, the United Kingdom, and Singapore. We support intentional in-person connection through team travel and distributed collaboration. Support for your personal and professional development. Grow your career thoughtfully with $1500 USD annually for professional development, or take advantage of mentorship, coaching, and internal promotion opportunities. Paid time off and a healthy work-life integration. Our flexible, paid time off program supports you for any situation life throws your way, whether moving homes or travelling the world! A build-your-own home office setup. You choose your own company-owned laptop (Mac or PC), receive a monthly home internet reimbursement, and $500 USD to customize your workstation to make it your own. Paid parental leave program . We care about your life outside of work and encourage new parents to take advantage of parental leave top-ups (20 weeks for birthing parents, 16 weeks for non-birthing parents). Tailscale is committed to providing an accessible and inclusive hiring process. If you require an accommodation at any stage of the recruitment process or related to any aspect of this role, please contact your recruiter. Our hiring process uses AI-assisted tools to help screen and assess candidates. All hiring decisions are made by people. Please be aware that legitimate emails from Tailscale's talent team will only originate from @tailscale.com, @greenhouse.io, and @interviews.modernloop.io email addresses. For more information about protecting yourself from impersonators and scams, please visit https://tailscale.com/scam-awareness .

Location: Remote (Canada) Thank you for considering Tailscale. If this job description resonates with you, please apply. Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications. We encourage you to help us break that statistic! About Tailscale Tailscale is making safe connection effortless by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We're building a future for the Internet that's easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital. About the Role We are seeking a Product Manager to own Tailscale's networking features — the layer that decides how traffic finds its destination by name on top of Tailscale’s seamless mesh connectivity solution. Concretely, you will own four feature sets: App Connectors , DNS , Funnel , and Tailscale Serve & Services . A tailnet gives every device an identity and an address. Networking features are what turn addresses into something a person, a script, or an AI agent can actually use — a name, a service, an app, a URL. App Connectors route traffic to specific SaaS and private applications by name, so access follows the app rather than the IP. DNS — MagicDNS, split DNS, custom name servers, search domains Tailscale Serve & Services make a workload — not a machine — the unit of connectivity and access: addressable, load-balanced, and durable across the instances behind it. This is the wedge that lets customers replace a service registry, and eventually much of what they use a service mesh for, with Tailscale. Funnel is Tailscale's ingress story: securely exposing a Service running inside the tailnet to the public internet, from a hobbyist sharing a dev server to production webhooks and public endpoints. This is the most user-visible role in Tailscale's Dataplane Platform, and the work is as much product design as it is networking. DNS settings, connector topologies, and service definitions are configured by network engineers and IT admins in the admin console, API, and CLI, and the distance between "magical" and "unusable" is the object model, the defaults, and the error messages. See How Tailscale Works , Tailscale Funnel , and Four ways to Tailscale a service to learn more. Key Responsibilities Own the vision, strategy, and roadmap for Tailscale's networking features: App Connectors, DNS, Funnel, and Tailscale Services Own the operator experience across these surfaces: how network engineers and IT admins configure, segment, monitor, and troubleshoot them at scale, in both the admin console and the CLI Partner with GTM, Customer Success, and Solutions Engineering on production commitments and strategic deals, and champion the migration path from reverse proxies, bastion hosts, cloud ingress, and service meshes to Tailscale Build systematic customer insight across the full spread of Tailscale users, from a homelab operator exposing a media server through Funnel to a large enterprise replacing its service registry What We Are Looking For 7+ years in product management, including direct ownership of an application-layer connectivity product: reverse proxies, ingress controllers or gateways, API gateways, service mesh or service registry, DNS and traffic management, secure tunneling and exposure products, or identity-aware proxy connectors A track record of turning a complex networking system into a legible product surface: you can point to an object model, a set of defaults, or a configuration experience you designed and explain why it was right End-to-end ownership of a product area: strategy, requirements, launch (docs, enablement, rollout), and the iteration after launch Evidence of data-informed decisions — metrics you defined, instrumentation you pushed for, and at least one time the data changed your mind Nice To Have Experience with Product Led Growth and how to balance that with enterprise buying motions Kubernetes networking: ingress, Gateway API, operators, or service exposure patterns Hands-on experience with secure tunneling and exposure products (ngrok, Cloudflare Tunnel, Cloudflare Access, Teleport, Zscaler Private Access) as a builder or a heavy user Abuse prevention, rate limiting, or trust and safety work on a publicly exposed service Familiarity with VPN and tunneling protocols (WireGuard, IPsec), BGP, cloud VPC peering, or PrivateLink-style private connectivity Public technical writing, conference talks, or open-source contributions in networking Hands-on experience with Tailscale at work or at home As a company, we strive to maintain fair and equitable compensation practices within our team across all roles and all levels. Tailscale's compensation package includes base salary, equity, and comprehensive benefits. The salary range displayed on each job posting represents the target range for a new hire's base salary. Individual offers may vary based on experience and skill set. CAN Pay Range $237,180 — $296,140 CAD What We Offer An inclusive, flexible environment where you can be your authentic self. We recognize the impact of diverse voices and backgrounds on the growth of our people, product, and company. And that flexibility in how and when you work empowers our team to integrate work and life. A competitive total compensation package. This includes a base salary, an equity incentive plan and variable commission (for quota-based roles). Comprehensive group benefits with no waiting period. Take advantage of coverage for health, vision, dental, and more for you and your family! Remote first company —most of our teams work fully remotely. Enjoy a change of scenery wherever you can get wifi, participate in virtual and in-person social events, and leverage our corporate co-working program to visit WeWork (or other similar spaces near you). Some roles require in-office collaboration depending on team needs, which will be clearly noted in the job description. Employer-funded retirement contributions. Tailscale will match your retirement contributions dollar-for-dollar, up to a maximum annual employer contribution equal to 0.75% of your eligible compensation. Connect with other Tailscalars IRL. Attend our annual company retreat, participate in team off-sites, and collaborate in person with teammates across Canada, the United States, the United Kingdom, and Singapore. We support intentional in-person connection through team travel and distributed collaboration. Support for your personal and professional development. Grow your career thoughtfully with $1500 USD annually for professional development, or take advantage of mentorship, coaching, and internal promotion opportunities. Paid time off and a healthy work-life integration. Our flexible, paid time off program supports you for any situation life throws your way, whether moving homes or travelling the world! A build-your-own home office setup. You choose your own company-owned laptop (Mac or PC), receive a monthly home internet reimbursement, and $500 USD to customize your workstation to make it your own. Paid parental leave program . We care about your life outside of work and encourage new parents to take advantage of parental leave top-ups (20 weeks for birthing parents, 16 weeks for non-birthing parents). Tailscale is committed to providing an accessible and inclusive hiring process. If you require an accommodation at any stage of the recruitment process or related to any aspect of this role, please contact your recruiter. Our hiring process uses AI-assisted tools to help screen and assess candidates. All hiring decisions are made by people. Please be aware that legitimate emails from Tailscale's talent team will only originate from @tailscale.com, @greenhouse.io, and @interviews.modernloop.io email addresses. For more information about protecting yourself from impersonators and scams, please visit https://tailscale.com/scam-awareness .

Location: AU: Melbourne: (260 Burwood Rd); NZ: Auckland: Xero 4 (96 St Georges Bay Rd, Level 2 & 3); AU: Sydney (45 Clarence St); NZ: Wellington: Xero One (19-23 Taranaki St) Workplace: Hybrid The role & impact You will run the Networks team in Cloud Capabilities, the group that looks after Xero's cloud network, DNS and CDN. You will set the team's direction, deliver against our Cloud Capabilities goals for the year, grow and support your engineers, and balance roadmap work with support requests and incidents. You will work closely with Product, Security and the other Cloud Capabilities teams. The Networks team underpins connectivity, name resolution and content delivery for every Xero product, so your work shapes reliability, security and cost at global scale. Together with your team, you will shape a multi-year network strategy across AWS and edge providers, with real ownership and a clear mandate to modernise. It is a chance to Go Further in running critical infrastructure your way. The team & how they connect You will join a team of seven engineers at a range of levels, reporting to the Head of Engineering, Cloud Capabilities. The team works in fortnightly sprints, shares a support rotation and reviews incidents without blame. Written decisions and open technical debate are part of how we Go Together. Initially, you will focus on - Getting to know our network architecture, risks and support load, and building trust with the team and partners. - Agreeing a prioritised roadmap and ways of working with the Head of Engineering. - Shaping a multi-year network plan across AWS and edge providers, including DNS and CDN. - Reducing reliability and tech-debt risks while sharing support and incident work fairly across the team. Where and how you can work This is a permanent role based in Australia or New Zealand with a preference for Melbourne, Sydney, Auckland or Wellington. Our Boost days are a chance to connect, recharge and learn from one another. Here are some of the things we are looking for - Your background includes guiding engineering teams that run production infrastructure, from hiring to performance conversations and career growth. - You bring a solid grounding in cloud networking (VPC, routing, DNS, CDN and load balancing) to support your team well and Go Further. - You are comfortable setting direction, delivering against roadmaps and OKRs, and handling planned and unplanned work side by side. - You Go Bold by modernising critical infrastructure with care, weighing up priorities and trade-offs as you go. - You Go Together by building trust with stakeholders and explaining your thinking clearly in writing. - A cloud certification such as AWS Advanced Networking Specialty, or formal management training, would be a bonus. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team. Xero uses AI to help screen applications based on job-related qualifications. These tools assist our recruiters but do not make automated hiring decisions. A real human recruiter reviews all candidates before any hiring action is taken.

Location: Remote - Poland About MariaDB MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used every day. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development. MariaDB now includes GridGain, a leader in in-memory computing, extending MariaDB to handle the extreme-velocity data requirements of autonomous AI agents. The Opportunity We are looking for a Contract Senior Technical GTM Recruiter to drive full-cycle recruiting across our global organization. Our company builds and delivers database technology used by customers around the world, and our talent needs are equally global — spanning APAC, EMEA, and the Americas . This role will own hiring for technical sales roles as well as cross-functional roles across Finance Product, and G&A (Finance, Legal, People, IT, etc.) . The ideal candidate is a versatile, consultative recruiter who can flex between deep technical sourcing and evaluation for engineering roles and broader generalist recruiting for go-to-market and corporate functions — all while navigating the nuances of hiring across multiple regions, time zones, and labor markets. Key Responsibilities Full-Cycle Recruiting Manage full-cycle recruiting for technical engineering sales roles across Sales and Marketing to support the GTM team. Some possible recruitment for Product, and SG&A as well. Partner directly with hiring managers and executive stakeholders to define role requirements, calibrate candidate profiles, and build effective hiring strategies for each function. Source active and passive candidates using a mix of channels: LinkedIn Recruiter, GitHub, technical communities, Boolean/X-ray search, referrals, and niche database/infrastructure networks. Conduct technical and behavioral phone screens, assess candidates for role fit, technical depth, and cultural alignment, and manage candidates through onsite/virtual interview loops. Own offer strategy, including compensation benchmarking, negotiation, and closing candidates in competitive, multi-offer situations. Global & Regional Recruiting Recruit across APAC and EMEA regions, and minimal possible roles in the Americas , adapting sourcing strategy, candidate messaging, and interview processes to regional market conditions, compensation norms, and labor regulations. Partner with regional People/HR partners and legal teams to ensure compliant, locally-appropriate hiring practices (contracts, notice periods, work authorization, data privacy). Manage time-zone-sensitive scheduling and communication to deliver a consistent, high-quality candidate experience across all regions. Build and maintain regional talent pipelines and market maps for hard-to-fill technical roles (e.g., distributed systems engineers in EMEA, database specialists in APAC). Sales and Marketing GTM Recruiting Develop fluency in the company's core technology (databases, distributed systems, cloud infrastructure) sufficient to credibly engage senior technical sales candidates and hiring managers. Partner with technical sales leaders to build leveled, structured interview processes and technical assessment criteria. Track and continuously improve technical sales hiring funnel metrics (sourcing-to-hire conversion, time-to-fill, offer-accept rate). Recruit for Go-to-Market roles (EAEs, EPA's SDRs, Sales Engineers, Marketing, Customer Success, and Sales Operations) and corporate functions. Some roles in Finance, Legal, People, IT and Product Management/Design may be included depending on bandwidth. Tailor sourcing and assessment approaches to each function's unique competencies (e.g., quota attainment history for Sales, portfolio review for Product/Design). Act as a trusted advisor to hiring managers outside of engineering, educating them on market conditions and best-practice hiring processes. Process, Data & Employer Brand Maintain accurate, real-time data in the ATS (e.g., Greenhouse) for pipeline reporting and forecasting. Provide regular hiring updates and funnel metrics to leadership; flag risks to hiring plans proactively. Champion a best-in-class, consistent candidate experience globally, including timely communication and structured feedback loops. Contribute to employer branding initiatives (careers page content, technical blog contributions, conference/community presence) to strengthen the company's reputation among engineering and business talent. Continuously improve recruiting processes, tools, and playbooks; mentor junior recruiters or coordinators as the team scales. Qualifications Required: 5+ years of full-cycle recruiting experience, with meaningful experience recruiting technical sales roles at a software or infrastructure company. Demonstrated experience recruiting across multiple global regions (APAC, EMEA, and the Americas), including familiarity with regional hiring practices and market dynamics. Experience recruiting for non-technical sales functions (Finance, Product, G&A) in addition to engineering. Strong sourcing skills across LinkedIn Recruiter, GitHub, and other technical talent channels. Proven ability to manage a high-volume, cross-functional requisition load in a fast-paced environment. Excellent stakeholder management skills, with experience partnering with senior/executive hiring managers. Proficiency with an ATS (Greenhouse) and recruiting/sourcing tools. Experience utilizing AI to enhance and improve the recruiting experience. Preferred: Prior recruiting experience at a database, infrastructure, or developer-tools company. Experience hiring for highly specialized technical talent (e.g., distributed systems, storage engines, AI, query optimization). Familiarity with global employment considerations (contractor vs. employee models, visa/work authorization, EOR partners). Experience scaling recruiting processes at a high-growth startup or scale-up. What Success Looks Like Delivers a candidate experience that earns positive feedback across all regions and functions. Consistently meets time-to-fill and quality-of-hire targets across both technical and non-technical requisitions. Builds durable, diverse pipelines for hard-to-fill technical and regional roles. Is viewed by hiring managers — from Sales to G&A — as a strategic partner, not just an order-taker. Stays informed of trends and innovative recruiting techniques in order to be competitive in state-of-the-art recruiting practices. Location Remote - Sofia, Bulgaria, Romania or Poland What’s in It for You? Impact the world of technology by pushing the boundaries of technology and business models, working at MariaDB plc. Be part of a game-changing organization that encourages outside-the-box thinking, values empowerment, and is truly shaping the future of the software industry. You’ll be collaborating with high-caliber colleagues around the world, offering unparalleled learning and growth opportunities. We provide a very competitive compensation package, 25 days paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more. Salaries for candidates outside the U.S. will vary based on local compensation structures. How to Apply If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site. At MariaDB, we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone. MariaDB does not sponsor work visas or relocation. MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.

Location: Remote - Romania About MariaDB MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used every day. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development. MariaDB now includes GridGain, a leader in in-memory computing, extending MariaDB to handle the extreme-velocity data requirements of autonomous AI agents. The Opportunity We are looking for a Contract Senior Technical GTM Recruiter to drive full-cycle recruiting across our global organization. Our company builds and delivers database technology used by customers around the world, and our talent needs are equally global — spanning APAC, EMEA, and the Americas . This role will own hiring for technical sales roles as well as cross-functional roles across Finance Product, and G&A (Finance, Legal, People, IT, etc.) . The ideal candidate is a versatile, consultative recruiter who can flex between deep technical sourcing and evaluation for engineering roles and broader generalist recruiting for go-to-market and corporate functions — all while navigating the nuances of hiring across multiple regions, time zones, and labor markets. Key Responsibilities Full-Cycle Recruiting Manage full-cycle recruiting for technical engineering sales roles across Sales and Marketing to support the GTM team. Some possible recruitment for Product, and SG&A as well. Partner directly with hiring managers and executive stakeholders to define role requirements, calibrate candidate profiles, and build effective hiring strategies for each function. Source active and passive candidates using a mix of channels: LinkedIn Recruiter, GitHub, technical communities, Boolean/X-ray search, referrals, and niche database/infrastructure networks. Conduct technical and behavioral phone screens, assess candidates for role fit, technical depth, and cultural alignment, and manage candidates through onsite/virtual interview loops. Own offer strategy, including compensation benchmarking, negotiation, and closing candidates in competitive, multi-offer situations. Global & Regional Recruiting Recruit across APAC and EMEA regions, and minimal possible roles in the Americas , adapting sourcing strategy, candidate messaging, and interview processes to regional market conditions, compensation norms, and labor regulations. Partner with regional People/HR partners and legal teams to ensure compliant, locally-appropriate hiring practices (contracts, notice periods, work authorization, data privacy). Manage time-zone-sensitive scheduling and communication to deliver a consistent, high-quality candidate experience across all regions. Build and maintain regional talent pipelines and market maps for hard-to-fill technical roles (e.g., distributed systems engineers in EMEA, database specialists in APAC). Sales and Marketing GTM Recruiting Develop fluency in the company's core technology (databases, distributed systems, cloud infrastructure) sufficient to credibly engage senior technical sales candidates and hiring managers. Partner with technical sales leaders to build leveled, structured interview processes and technical assessment criteria. Track and continuously improve technical sales hiring funnel metrics (sourcing-to-hire conversion, time-to-fill, offer-accept rate). Recruit for Go-to-Market roles (EAEs, EPA's SDRs, Sales Engineers, Marketing, Customer Success, and Sales Operations) and corporate functions. Some roles in Finance, Legal, People, IT and Product Management/Design may be included depending on bandwidth. Tailor sourcing and assessment approaches to each function's unique competencies (e.g., quota attainment history for Sales, portfolio review for Product/Design). Act as a trusted advisor to hiring managers outside of engineering, educating them on market conditions and best-practice hiring processes. Process, Data & Employer Brand Maintain accurate, real-time data in the ATS (e.g., Greenhouse) for pipeline reporting and forecasting. Provide regular hiring updates and funnel metrics to leadership; flag risks to hiring plans proactively. Champion a best-in-class, consistent candidate experience globally, including timely communication and structured feedback loops. Contribute to employer branding initiatives (careers page content, technical blog contributions, conference/community presence) to strengthen the company's reputation among engineering and business talent. Continuously improve recruiting processes, tools, and playbooks; mentor junior recruiters or coordinators as the team scales. Qualifications Required: 5+ years of full-cycle recruiting experience, with meaningful experience recruiting technical sales roles at a software or infrastructure company. Demonstrated experience recruiting across multiple global regions (APAC, EMEA, and the Americas), including familiarity with regional hiring practices and market dynamics. Experience recruiting for non-technical sales functions (Finance, Product, G&A) in addition to engineering. Strong sourcing skills across LinkedIn Recruiter, GitHub, and other technical talent channels. Proven ability to manage a high-volume, cross-functional requisition load in a fast-paced environment. Excellent stakeholder management skills, with experience partnering with senior/executive hiring managers. Proficiency with an ATS (Greenhouse) and recruiting/sourcing tools. Experience utilizing AI to enhance and improve the recruiting experience. Preferred: Prior recruiting experience at a database, infrastructure, or developer-tools company. Experience hiring for highly specialized technical talent (e.g., distributed systems, storage engines, AI, query optimization). Familiarity with global employment considerations (contractor vs. employee models, visa/work authorization, EOR partners). Experience scaling recruiting processes at a high-growth startup or scale-up. What Success Looks Like Delivers a candidate experience that earns positive feedback across all regions and functions. Consistently meets time-to-fill and quality-of-hire targets across both technical and non-technical requisitions. Builds durable, diverse pipelines for hard-to-fill technical and regional roles. Is viewed by hiring managers — from Sales to G&A — as a strategic partner, not just an order-taker. Stays informed of trends and innovative recruiting techniques in order to be competitive in state-of-the-art recruiting practices. Location Remote - Sofia, Bulgaria, Romania or Poland What’s in It for You? Impact the world of technology by pushing the boundaries of technology and business models, working at MariaDB plc. Be part of a game-changing organization that encourages outside-the-box thinking, values empowerment, and is truly shaping the future of the software industry. You’ll be collaborating with high-caliber colleagues around the world, offering unparalleled learning and growth opportunities. We provide a very competitive compensation package, 25 days paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more. Salaries for candidates outside the U.S. will vary based on local compensation structures. How to Apply If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site. At MariaDB, we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone. MariaDB does not sponsor work visas or relocation. MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.

Location: Remote - Bulgaria About MariaDB MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used every day. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development. MariaDB now includes GridGain, a leader in in-memory computing, extending MariaDB to handle the extreme-velocity data requirements of autonomous AI agents. The Opportunity We are looking for a Contract Senior Technical GTM Recruiter to drive full-cycle recruiting across our global organization. Our company builds and delivers database technology used by customers around the world, and our talent needs are equally global — spanning APAC, EMEA, and the Americas . This role will own hiring for technical sales roles as well as cross-functional roles across Finance Product, and G&A (Finance, Legal, People, IT, etc.) . The ideal candidate is a versatile, consultative recruiter who can flex between deep technical sourcing and evaluation for engineering roles and broader generalist recruiting for go-to-market and corporate functions — all while navigating the nuances of hiring across multiple regions, time zones, and labor markets. Key Responsibilities Full-Cycle Recruiting Manage full-cycle recruiting for technical engineering sales roles across Sales and Marketing to support the GTM team. Some possible recruitment for Product, and SG&A as well. Partner directly with hiring managers and executive stakeholders to define role requirements, calibrate candidate profiles, and build effective hiring strategies for each function. Source active and passive candidates using a mix of channels: LinkedIn Recruiter, GitHub, technical communities, Boolean/X-ray search, referrals, and niche database/infrastructure networks. Conduct technical and behavioral phone screens, assess candidates for role fit, technical depth, and cultural alignment, and manage candidates through onsite/virtual interview loops. Own offer strategy, including compensation benchmarking, negotiation, and closing candidates in competitive, multi-offer situations. Global & Regional Recruiting Recruit across APAC and EMEA regions, and minimal possible roles in the Americas , adapting sourcing strategy, candidate messaging, and interview processes to regional market conditions, compensation norms, and labor regulations. Partner with regional People/HR partners and legal teams to ensure compliant, locally-appropriate hiring practices (contracts, notice periods, work authorization, data privacy). Manage time-zone-sensitive scheduling and communication to deliver a consistent, high-quality candidate experience across all regions. Build and maintain regional talent pipelines and market maps for hard-to-fill technical roles (e.g., distributed systems engineers in EMEA, database specialists in APAC). Sales and Marketing GTM Recruiting Develop fluency in the company's core technology (databases, distributed systems, cloud infrastructure) sufficient to credibly engage senior technical sales candidates and hiring managers. Partner with technical sales leaders to build leveled, structured interview processes and technical assessment criteria. Track and continuously improve technical sales hiring funnel metrics (sourcing-to-hire conversion, time-to-fill, offer-accept rate). Recruit for Go-to-Market roles (EAEs, EPA's SDRs, Sales Engineers, Marketing, Customer Success, and Sales Operations) and corporate functions. Some roles in Finance, Legal, People, IT and Product Management/Design may be included depending on bandwidth. Tailor sourcing and assessment approaches to each function's unique competencies (e.g., quota attainment history for Sales, portfolio review for Product/Design). Act as a trusted advisor to hiring managers outside of engineering, educating them on market conditions and best-practice hiring processes. Process, Data & Employer Brand Maintain accurate, real-time data in the ATS (e.g., Greenhouse) for pipeline reporting and forecasting. Provide regular hiring updates and funnel metrics to leadership; flag risks to hiring plans proactively. Champion a best-in-class, consistent candidate experience globally, including timely communication and structured feedback loops. Contribute to employer branding initiatives (careers page content, technical blog contributions, conference/community presence) to strengthen the company's reputation among engineering and business talent. Continuously improve recruiting processes, tools, and playbooks; mentor junior recruiters or coordinators as the team scales. Qualifications Required: 5+ years of full-cycle recruiting experience, with meaningful experience recruiting technical sales roles at a software or infrastructure company. Demonstrated experience recruiting across multiple global regions (APAC, EMEA, and the Americas), including familiarity with regional hiring practices and market dynamics. Experience recruiting for non-technical sales functions (Finance, Product, G&A) in addition to engineering. Strong sourcing skills across LinkedIn Recruiter, GitHub, and other technical talent channels. Proven ability to manage a high-volume, cross-functional requisition load in a fast-paced environment. Excellent stakeholder management skills, with experience partnering with senior/executive hiring managers. Proficiency with an ATS (Greenhouse) and recruiting/sourcing tools. Experience utilizing AI to enhance and improve the recruiting experience. Preferred: Prior recruiting experience at a database, infrastructure, or developer-tools company. Experience hiring for highly specialized technical talent (e.g., distributed systems, storage engines, AI, query optimization). Familiarity with global employment considerations (contractor vs. employee models, visa/work authorization, EOR partners). Experience scaling recruiting processes at a high-growth startup or scale-up. What Success Looks Like Delivers a candidate experience that earns positive feedback across all regions and functions. Consistently meets time-to-fill and quality-of-hire targets across both technical and non-technical requisitions. Builds durable, diverse pipelines for hard-to-fill technical and regional roles. Is viewed by hiring managers — from Sales to G&A — as a strategic partner, not just an order-taker. Stays informed of trends and innovative recruiting techniques in order to be competitive in state-of-the-art recruiting practices. Location Remote - Sofia, Bulgaria, Romania or Poland What’s in It for You? Impact the world of technology by pushing the boundaries of technology and business models, working at MariaDB plc. Be part of a game-changing organization that encourages outside-the-box thinking, values empowerment, and is truly shaping the future of the software industry. You’ll be collaborating with high-caliber colleagues around the world, offering unparalleled learning and growth opportunities. We provide a very competitive compensation package, 25 days paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more. Salaries for candidates outside the U.S. will vary based on local compensation structures. How to Apply If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site. At MariaDB, we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone. MariaDB does not sponsor work visas or relocation. MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.

Location: Abu Dhabi, UAE 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. Role Overview Own the full lifecycle of our fiat risk control products, covering fraud prevention and AML across high-frequency fiat deposit, withdrawal, and payment flows. The focus is on the underlying risk mechanisms: how transactions are screened, scored, held, and released in real time. Combine risk insight with business needs to plan, design, iterate, and optimize an efficient, intelligent risk control system that protects the platform without adding unnecessary user friction. Key Responsibilities Risk Mechanism & Product Design Own the roadmap for fiat and payment risk control systems, including transaction monitoring and fraud detection Design and iterate on core mechanisms such as rule engines, decision flows, risk tiering, holds and releases, and automated interdiction Define the logic behind risk parameters (limits, velocity thresholds, triggers, escalation paths) and balance risk coverage against user friction High-Frequency Transaction Risk Design controls that operate under high concurrency and strict latency requirements across fiat on/off-ramp, card acquiring, card issuing, and payment transaction risk control Work with Engineering on real-time data pipelines, rule execution performance, fallback and degradation strategies, and stability under peak load Detect and close gaps around abnormal patterns such as velocity abuse, account takeover, card fraud, chargebacks, mule accounts, and structuring AI-Powered Risk Control Capabilities Use AI to improve user conversion rates and reduce blockers in risk control flows Optimize risk-related communications delivered to customers during transactions Use AI to proactively guide users through document submission and identity verification, helping them resolve account restrictions or blocks imposed by risk controls Requirement Analysis & Product Planning Explore risk control requirements across business scenarios; combine industry trends and company strategy to set long-term plans and short-term iteration goals Produce high-quality PRDs that define functionality, performance, security, and other standards Delivery & Cross-functional Collaboration Lead prototype design and implementation; coordinate Technology, Data, Compliance, and Operations to deliver on time and at quality Communicate the value and usage guidelines of risk products, answer questions, and ensure risk strategies are implemented effectively across business lines Translate AML requirements into product capabilities, including transaction monitoring scenarios, sanctions and watchlist screening, and suspicious activity workflows Support audit and regulatory inquiries with clear documentation of risk logic Data Analysis & Optimization Continuously monitor product data and evaluate the effectiveness of risk strategies and product features Define metrics (false positive rate, interception rate, fraud loss rate, case handling time, decision latency) and drive data-based iteration Run back-testing and A/B validation before rule or model rollout Build feedback loops between case management, operations, and strategy tuning; support incident handling, root cause analysis, and post-incident reviews Requirements Bachelor's degree or above in Computer Science, Mathematics, Statistics, Finance, Engineering, or a related field 3+ years of experience in risk control product design, with familiarity with the risk control processes of at least one field such as payments, credit, or e-commerce; experience in high-volume transaction environments strongly preferred Has led complete risk control product design and launch projects Hands-on experience in risk strategy formulation, model building, and rule engine design Solid understanding of fraud and AML mechanisms: rule engines, risk scoring, transaction monitoring, sanctions screening, and real-time decisioning Familiarity with fiat payment flows, including card schemes (Visa/Mastercard), bank transfers, chargebacks, and payment fraud typologies Familiar with risk control technologies and tools (risk models, anti-fraud systems, decision engines) and the application of machine learning in risk control Strong data analysis skills: SQL and Python for data extraction, analysis, and visualization Able to discuss system design (latency, throughput, data consistency) credibly with engineers Familiar with financial regulations and regulatory policies, with a strong sense of compliance Strong logical thinking, problem-solving, communication, and coordination skills; able to drive alignment with Compliance and Operations Rigorous and responsible, with strong stress resistance in high-pressure environments Fluent English; Mandarin is a plus Nice to Have Experience at a crypto exchange, bank, payment company, or fintech AI knowledge is a plus for this role Knowledge of AML regulatory frameworks (FATF, MiCA, PSD2) is a plus Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.