Вакансии

развивать CI/CD-процессы для сервисов AIFA. контейнеризировать и развёртывать сервисы в Kubernetes.

Участвовать в анализе требований, проектировании и оценке рисков, формировать стратегию и план тестирования. Разрабатывать тест-кейсы, чек-листы, тестовые данные и поддерживать тестовую документацию в актуальном состоянии.

Систематизировать структуру данных департамента: описывать источники, связи и правила расчета показателей; Выполнять разовые аналитические запросы и представлять выводы заказчикам;

анализ структур данных в разных источниках и форматов, оценка их пригодности для конкретных бизнес-задач. загрузка, обработка и преобразование больших объемов данных из разнородных хранилищ (Postgres, Clickhouse, Hadoop) в рабочие среды (Hadoop).

Анализировать рынок, категории товаров и региональные показатели; Изучать динамику продаж, рыночные доли и ценовые изменения;

участие в анализе технических требований к разрабатываемым модулям и сервисам, помощь в выборе технологии и языков программирования. разработка и сопровождение desktop приложений, а так же серверных модулей (backend), в том числе web-сервисов и API (REST, gRPC, WebSocket) на Python 3 и других языках высокого уровня.

Location: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. *Open to hiring remote across the US — we also have offices in NYC, San Francisco, and Seattle This is a rare PM role with true vertical ownership across the full product lifecycle, from early-stage research and pre-training through post-training, UX buildout, GTM strategy, and pricing. It gives the right person a GM-like mandate to drive product decisions end-to-end, in a way that’s unique for a company of our scale. We’re looking for a Product Manager to build the AI tools our customers will rely on. You have a real engineering or quantitative foundation and a track record of shipping products. You can take the state-of-the-art systems our research team builds and turn them into products that creators love. You’ll deeply understand what users want, what’s technically possible, and what’s strategic for our business. You’ll be the bridge between our users and our internal teams, so we ship our models and products with the most value for Runway’s creators. This role is a fundamental and critical part of the team at a market-defining company in its early stages. What you’ll do - Own the product strategy and roadmap for your area, from early model development through launch, pricing, and go-to-market - Partner with research to shape what gets built, translating customer needs and model capabilities into clear product requirements and priorities - Work closely with engineering and design to ship new products and continuously improve existing ones, making sound technical tradeoffs along the way - Define and analyze product metrics, run A/B tests, and use data (including your own SQL and Python analysis) to validate pain points and prioritize features - Talk with users weekly to uncover use cases and turn feedback into product decisions - Drive pricing and GTM strategy in partnership with business teams What you’ll need - 4+ years of product management experience, including taking products from zero to one - A strong technical foundation, typically demonstrated by things like the following: - A degree in a technical or quantitative field such as computer science, HCI, math, statistics, or physics - Professional experience writing code before the LLM codegen era (e.g., as a software engineer, data scientist, data analyst, or technical founder who built and bootstrapped a product) - Hands-on fluency with SQL, Python, AI code generation tools, and version control best practices - Working knowledge of current ML capabilities and products, and the ability to discuss tradeoffs with researchers and engineers - Experience in fast-moving teams, with comfort operating amid ambiguity - Excellent written and verbal communication skills Nice to have - Experience with generative AI, creative tools, or media products - Experience owning pricing or GTM for a product Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: Remote - US About the Job: LaunchDarkly is seeking a People Systems, Analytics and AI Manager to be our subject matter expert on HR systems and to turn People data into insights that help business leaders make better decisions. You will build the reports, analytics, and dashboards that tell the story of our workforce, and you will use AI tooling to make those stories faster to create, easier to understand, and more compelling. This is an individual contributor role reporting to the Director, People Programs, Systems and Analytics. You will work closely with People Operations, Finance, and leaders across the business, and you will own your work from question to insight to action. We are looking for someone who combines deep HR systems knowledge with strong analytical skills, creativity in how data is presented, and sound judgment about people data and AI. Responsibilities: Serve as the subject matter expert for our HR systems (HRIS, applicant tracking, performance, compensation, and learning platforms), including configuration, data integrity, security roles, integrations, and release management. Design, build, and maintain reports, dashboards, and analytics on headcount, hiring, retention, engagement, compensation, and workforce planning that leaders use to make decisions. Partner with People, Finance, and business leaders to translate questions into clear metrics, definitions, and analyses, and to recommend actions based on what the data shows. Use AI tools to accelerate analysis and create compelling data stories and visualizations, including automated insights, natural-language summaries, and executive-ready narratives. Establish and govern People data standards: metric definitions, data quality checks, documentation, and a single source of truth across systems. Protect employee data by applying privacy, confidentiality, and access controls, and by partnering with Legal and Security on responsible use of AI with People data. Own the intake, prioritization, and delivery of system and reporting requests, balancing quick turnarounds with scalable, self-service solutions. Automate recurring reports and manual workflows to reduce effort and errors, and identify new opportunities where systems and AI can improve the employee and manager experience. Support system projects such as new module rollouts, integrations, data migrations, and annual cycles (performance, compensation, and engagement), including testing, training, and documentation. Enable People Operations teammates and managers through training, office hours, and clear guides so they can use data and tools with confidence. Stay current on HR technology, analytics, and AI trends, and bring practical recommendations to the Director, People Programs, Systems and Analytics. Qualifications: 8+ years of related experience in HR systems, People analytics, or HR operations, with hands-on ownership of reporting and dashboards in a technology or high-growth environment. Expert-level knowledge of at least one major HRIS (for example, Workday, Rippling, or similar), including report writing, calculated fields, and security configuration. Strong proficiency with analytics and visualization tools (for example, SQL, Tableau, Looker, Power BI, or similar) and advanced spreadsheet skills. Demonstrated fluency with AI tooling to analyze data, generate insights, and build visualizations and narratives, with sound judgment about accuracy and appropriate use. Ability to translate business questions into metrics and communicate findings clearly to non-technical leaders. Strong understanding of data integrity, privacy, and confidentiality practices for employee data. Proven ability to manage multiple projects and stakeholders independently and deliver on time with attention to detail. Curious, pragmatic problem solver who enjoys simplifying complex processes and data. Comfortable working with a highly distributed team across time zones. Nice to Have: Experience with data pipelines, data warehouses, or scripting (for example, Python or dbt). Experience with integrations and workflow automation tools. Knowledge of workforce planning, compensation, or engagement analytics. Bachelor's degree in Information Systems, Analytics, Business, Human Resources, or a related field, or equivalent experience. Pay: Target pay ranges based on Geographic Zones* for Level 4: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $ 121,800 - $167,530 ** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $ 109,700 - $150,810 ** Zone 3: All other US locations - $ 103,600 - $142,450 * * LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: United States Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. Kraken is on a mission to build the most trusted bridge between crypto and traditional finance. The Financial Systems Engineering team connects activity across products, payments, banking, and digital assets to the data, ledgers, controls, and applications Finance relies on. Our engineers bring expertise in data engineering, complex transaction flows, financial systems, and reconciliation. We partner with Treasury, Accounting, Tax, FP&A, Product, Risk, Security, Compliance, and platform engineering to make financial data reliable, explainable, and auditable. THE OPPORTUNITY - Report to the CFO and lead the engineering vision for Kraken’s financial systems, translating Finance priorities into a clear technical strategy and delivery roadmap - Assess the current landscape, including fragmented data, processes, and technical debt. Define a target architecture and phased transformation plan based on evidence, business needs, and sound engineering judgment - Lead, coach, and grow a team of specialists across financial systems, data engineering, integrations, and ledger-related services. Establish clear ownership and develop technical leaders - Set standards for the completeness, quality, lineage, and ownership of financial data, from source events through transaction and balance records, reconciliation, accounting, and reporting - Contribute to architecture decisions for ledgers, subledgers, financial data models, APIs, and integrations across fiat and crypto activity. Determine what should be standardized and where distinct product flows need governed treatment - Partner with Accounting and Treasury to improve account and legal entity attribution, financial controls, reconciliation, exception handling, and the traceability of records across internal and external systems - Lead modernization and migration without disrupting close, reporting, fund movements, or other critical Finance operations. Define validation checkpoints and criteria for retiring legacy processes and systems - Establish end-to-end testing, documentation, observability, release controls, and incident response practices that account for the financial impact of upstream changes - Partner with Product, platform engineering, Risk, Security, Compliance, Tax, and Legal on system boundaries, access controls, resilience, regulatory needs, and auditability - Evaluate build, buy, and integration options; review consequential designs; and communicate architectural decisions, sequencing, risks, and tradeoffs clearly to Finance and Engineering leaders WHAT YOU WILL TACKLE FIRST In your first year, you’ll build the foundations for a more reliable, scalable Finance architecture: - Move key reconciliations from a monthly to a daily cadence, with clear ownership and a process for resolving exceptions - Reduce the time needed to find the root cause of reconciliation breaks from weeks to days - Map and validate the source tables and transformations that actually feed financial statements, establishing lineage and ownership - Complete the UAT data lake connections needed to test financial data flows end to end before changes reach production WHAT YOU BRING - Significant software engineering and technical leadership experience, including leading experienced teams through complex financial systems or data architecture change - A strong track record of hiring, coaching, and developing specialists while creating clear ownership, high engineering standards, and effective cross-functional partnerships - Deep understanding of ledgers, subledgers, double-entry concepts, reconciliation, settlement, and the path from an operational event to an auditable financial record - Experience with crypto or digital asset infrastructure and the challenges of connecting on-chain activity, internal balances, custody or wallet flows, and traditional financial systems - Strong technical judgment in distributed systems, data engineering, APIs, event-driven processing, and integrations across complex platforms - Experience defining a target architecture and delivering a transformation roadmap across fragmented or legacy systems while sustaining production reliability - Experience designing for data completeness, accuracy, lineage, reconciliation, access control, and auditability - Sound judgment in production operations, including incident response, monitoring, debugging, change management, and reliability improvements - Ability to partner with senior Finance and Engineering leaders and translate financial, operational, and control needs into a practical engineering roadmap - Ability to lead experts and make informed architecture decisions without needing to be the deepest specialist in every domain; clear communication of priorities and tradeoffs to executives and technical teams - Experience with Rust, TypeScript/Node.js, or Python; finance applications such as NetSuite, Kyriba, or BlackLine; and SOX or SOC control environments is valuable Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Remote; Seattle, WA; London; New York, NY; San Francisco, CA Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. WHY THIS MATTERS Runway is building AI to simulate the world. We think world models, not language models alone, are the path to general-purpose simulation: systems that experience the world, learn from their mistakes, and change how stories get told, how science gets done, and how the next frontiers of humanity are reached. Applied AI is where that research meets a customer with a deadline. Every one of the world's largest studios, brands, and platforms hits a moment where Runway stops being a demo and becomes the way they actually make things. Our team exists for that moment, and we organize around one question: what's blocking this customer from production, and how do we remove it? ABOUT THE ROLE This is a role for people who want to own a problem, not an account. You'll sit with the biggest studios, brands, and Fortune 100 companies in the world, figure out what's actually standing between them and production, and build whatever removes it. Some weeks that's a workflow. Some weeks it's a plugin or an integration nobody has written yet. Some weeks it's getting a room of executives to make a decision they've been putting off. Your work will be on screen: Emmy-winning shows, Oscar-winning films, Super Bowl commercials, the stuff people actually watch. And the things you build for one customer tend to become product for all of them. Our team's first Shopify plugin started as a customer blocker and was in engineering's hands within a few weeks. We treat this team as R&D for that reason, not as a cost center. We have offices in NYC, San Francisco, Seattle, and London. NO TWO WEEKS ARE THE SAME, BUT YOU CAN EXPECT TO: - Find the real problem: sit with the creative, technical, and executive teams at a customer, map how they actually work, and locate the blocker between them and production. Usually it's one of three things: a missing integration, an unproven pipeline, or a stakeholder who isn't convinced yet. - Build the first of its kind: the demo that shows a studio head or a Fortune 100 CMO something nobody has shown them before. Working proofs of concept on the customer's own brand, footage, or catalog, often built in a day or two before the meeting, and the best of them become product for everyone. - Make it reusable: turn the one-off that unblocked one customer into the workflow, plugin, or integration the next ten customers start from. - Run the evaluation: own evaluation plans end to end, guide managed trials, build tailored demos on the customer's own footage and brand, and carry the technical side of deal cycles with AEs. - Scope deployments that land: 4–12 week engagements with customer-defined success criteria, a hands-on builder and an executive sponsor on their side from day one, and enough discipline to keep them on scope when the asks start piling up. - Get customers to production fast: take new technical and non-technical customers from signed contract to first production call in days rather than quarters, grow API-only accounts into Platform + API, and fix the onboarding so the support tickets stop coming. - Present to anyone: walk an analyst through a pipeline in the morning and a studio head through a production plan in the afternoon. - Bring the field back to the product: embed with Product, Engineering, and Creative to turn what you saw at the customer into roadmap. Every repeat ask is a product requirement, not a patch. - Measure what the customer measures: time to production, usage before and after a project, what they shipped because you were there. We track our own numbers in Salesforce and the warehouse; you'll own yours. WHAT WE VALUE - People who aren't satisfied with surface-level answers and will go into the data, the code, and the room to find the real one - Low ego: the customer's outcome matters more than who gets the credit - Comfort with open-ended problems in unstructured environments, and the instinct to create structure instead of waiting for it - Builders who would rather prototype than debate, and who keep iterating with the customer until it actually works - Adaptive and introspective: willing to learn, guide, lead, and follow WHAT WE NEED - You build things that run in production. Python or TypeScript, APIs, integrations, and data pipelines. Whether you write the code yourself or with coding agents, you can read it, debug it when it breaks, and explain line by line why it's built that way, including to a customer's engineering team. You've shipped something a customer actually ran: a workflow, an integration, a plugin, or an internal tool. - You've deployed AI or ML systems and integrations inside complex organizations and can point to the outcome, not just the delivery - You can hold a room of executives and a room of engineers, and translate between the two. Some of those rooms are at the customer, so expect some travel. - Nice to have: data tooling (SQL, BigQuery, Retool), or experience in media, entertainment, or advertising production Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: Mississauga/Toronto/Kitchener/Waterloo/Cambridge Workplace: hybrid At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. Job title: Intermediate Software Engineer   What your day-to-day will look like: ·       Identify, prioritize and execute tasks in the software development life cycle ·       Work with business to iterate over software requirements ·       Develop tools and applications by producing clean, efficient code ·       Automate tasks through appropriate tools and scripting ·       Analyze and debug systems ·       Perform validation and verification testing in a test-driven manner ·       Review the work of others, and invite others to review your work ·       Collaborate with internal teams and vendors to fix and improve products ·       Ensure software is up-to-date with latest technologies   What qualifications we’re looking for: ·       Experience writing clean code that performs well at scale using Java ·       Experience with Spring Boot ·       In-depth knowledge of relational databases (e.g. Microsoft SQL Server, MySQL) ·       Solid experience writing RESTful API endpoints ·       Absolutely love TDD and have working knowledge of it ·       Proficient in GIT ·       Experience using system and performance monitoring tools (e.g. New Relic, DataDog) ·       Experience with automated testing frameworks (e.g. Selenium, Cypress, RestAssured) ·       Excellent organization, critical-thinking and personal leadership skills ·       Self-starter with the ability to deliver with minimal supervision ·       Being okay with the uncomfortable feeling that comes from learning new things ·       Team player ·       Analytical mind with problem-solving aptitude ·       Proven experience as a great Engineer ·       BSc/BA in Computer Science or a related degree   Generative AI Code Assistants - Use of Generative AI Code Assistants (e.g. Github Copilot) and knowledge of latest Generative AI Model capabilities would be an asset   Bonus points for: ·       Experience with UI development and frameworks (e.g. React, Angular) ·       Nice to have React, Selenium automation and cloud experience ·       Experience with Docker, Kubernetes and Istio ·       Experience with Ansible ·       Experience with Jenkins CI/CD pipeline ·       Linux and IP networking knowledge ·       Experience with AWS/Azure cloud services or equivalent ·       Experience with SAML, OAuth and OpenID Connect ·       Experience working on a SaaS product ·       Experience with Service Oriented Architecture  ·       Knowledge of scripting languages such as Python, Bash or Groovy ·       On-call experience with production grade systems ·       Has mentored others in a professional setting   #LI-DNI #LI-Hybrid PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $112000- $125000 (not overtime eligible) + bonus + benefits. Compensation is assessed individually and aligned to experience, skills, and market context. The posted range reflects typical expectations for this role.

Location: Almaty, Kazakhstan Workplace: OnSite Almaty, Kazakhstan · Growth Engineering WHY THIS ROLE EXISTS Higgsfield's Growth team runs on an internal platform. We need a Business Engineer to turn operational bottlenecks into software, from the data model and API to the screens the team uses every day. You own features through launch, adoption and production support. WHAT YOU'LL ACTUALLY DO - Turn growth team problems into useful features. Define a small first release and build it across backend and frontend. - Own database schemas, query performance and safe migrations on a live database. - Build third-party integrations that handle API quotas, rate limits, retries and webhooks. - Make payment and messaging workflows safe to retry, without duplicate payouts or sends, and keep an audit trail. - Ship LLM features and measure quality, latency and cost per result. - Own environments, releases, monitoring, security and access. Share on-call responsibility. - Define success metrics, track adoption after launch and improve what you ship. MUST-HAVES - Production experience. You've built and operated backend systems and can explain your decisions, personal contribution and results. - Strong Python and full-stack delivery. You build backend services and React screens when a feature needs them. - Deep PostgreSQL knowledge. Data modeling, query plans, indexes, transactions, locking and migrations on live databases. - API security. Authentication, object-level authorization and role isolation. You prevent IDOR on reads and writes and test access as different users. - Hands-on operations. Linux, containers, CI/CD, monitoring and debugging production from logs. You can run what you build. - High agency and ownership. You find worthwhile problems, remove blockers and follow through without waiting for assignments. - Low ego. You welcome direct feedback, admit mistakes and change your mind with evidence. - Energy for an intense pace. The team ships daily, priorities shift and urgent production issues can need you outside regular hours. OUR TECH STACK - Languages: Python and TypeScript. - Backend: Python and Node.js services, REST APIs, background workers and scheduled jobs. - Frontend: React with server-side rendering. - Data: PostgreSQL and S3-compatible object storage. - Infrastructure: Linux, Docker and GitHub Actions CI/CD. - AI: LLM APIs from major providers. - Quality: Static typing, linters and automated tests in both languages. Bonus experience: Influencer marketing, affiliate programs or creator payouts; large-scale YouTube data within API quotas; email outreach and deliverability; LLM evaluations, prompt regression sets and cost tracking. INTERVIEW PROCESS 1. Recruiter screen: role expectations, logistics and fit. 2. Technical interview: a difficult system you shipped, what you personally decided and built, and how your work made the team more capable without leaving it dependent on you. 3. Practical task: a real problem from our backlog, under NDA. You design the data model and API, write the core of it and explain your trade-offs. 4. Product interview: turn a growth team problem into a small first release, decide what to leave out and explain how feedback would change it. 5. Offer. WHAT WE OFFER Competitive base in USD, equity, relocation support, and ownership of the systems Higgsfield's growth runs on.

Location: Islamabad Capital Territory, Pakistan Data Analyst – Customer Support Automations · [Full-time] · In-Person (Islamabad, PK) · Hours 6pm - 2am PKT About Nysonian Nysonian builds the next generation of global lifestyle brands, shaping how people travel, move, and live. We go beyond creating great products to build experiences that elevate everyday life and empower people around the world. Our Fast-Growing Portfolio Includes: NOBL Travel — redefining modern travel with design, durability, and performance FLO Pilates — bringing Pilates into homes and wardrobes globally With $350M+ in revenue, 400+ teammates across 8 countries, and 1M+ customers worldwide, we are shaping the brands that will define the next decade. Core Values: Winners’ Mindset | Speed with Purpose | Thoughtful Innovation | Genuineness | No Ego, Full Ownership The Opportunity We are looking for a hands-on Data Analyst to support our Customer Support function through reliable reporting, dashboards, and actionable analysis. The successful candidate will work with large, complex datasets to answer business questions, monitor support performance, identify operational issues, and recommend improvements to customer experience and team efficiency. This role requires strong analytical judgment, attention to detail, and the ability to deliver accurate work in a fast-paced environment with changing priorities. What You'll Own Translate business questions from Customer Support stakeholders into clear analytical requirements, metric definitions, and reporting deliverables. Extract, combine, clean, and analyze large datasets from support systems, databases, spreadsheets, and other business sources. Build and maintain dashboards using at least one visualization tool, such as Power BI, Tableau, or Looker Studio. Monitor support metrics, including ticket volume, backlog, first response time, resolution time, SLA compliance, reopen rate, CSAT, and agent productivity. Analyze customer complaints, repeat contacts, returns, refunds, retention outcomes, and chargeback reasons to identify patterns and improvement opportunities. Assess human and AI support performance, considering case complexity, channel, and workload when comparing results. Investigate discrepancies between reports and source systems, document root causes, and coordinate corrections with relevant teams. Automate recurring reports and data preparation tasks to reduce manual effort and improve reporting consistency. Perform data quality checks for missing records, duplicates, inconsistent identifiers, date issues, and incorrect calculations. Present findings clearly to technical and non-technical stakeholders, with practical recommendations. Maintain documentation of reporting logic, business definitions, assumptions, and known limitations. Handle customer and business information responsibly and follow company data access policies. Skills & Qualifications Minimum 2 years of recent, relevant professional experience in data analytics, business intelligence, or operational reporting. Internships and academic projects should be listed separately. Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Business Analytics or a related analytical discipline. Minimum CGPA of 3.2 out of 4.0, or an equivalent result, in the most recently completed degree. Strong practical SQL skills, including joins, aggregations, CTEs, window functions, and date-based analysis. Hands-on experience working with large datasets, including querying, cleaning, combining, and validating data efficiently. Practical proficiency in at least one visualization tool: Power BI, Tableau, Looker Studio, or an equivalent platform. Working proficiency in Python, particularly pandas, for data preparation, analysis, and reporting automation. Strong Excel or Google Sheets skills, including pivot tables, lookup formulas, data validation, and reconciliation. Ability to select appropriate analytical methods, calculate rates and averages correctly, and distinguish meaningful changes from misleading comparisons. Strong problem-solving skills and the ability to investigate an issue beyond the dashboard or headline number. Ability to manage multiple requests, reprioritize quickly, communicate delivery timelines, and maintain accuracy under tight deadlines. Ability to work independently with incomplete requirements while clarifying important assumptions. Clear written and verbal communication skills. Preferred Experience Customer Support, customer experience, contact center, or ecommerce analytics. Analysis of ticket-level, customer-level, order-level, or interaction-level data. Familiarity with CRM or helpdesk platforms and support workflows. Exposure to PostgreSQL, MongoDB, APIs, or JSON data. Experience with cohort analysis, customer retention, refunds, returns, or chargebacks. Experience improving slow queries or processing datasets that are too large for standard spreadsheets. Why You'll Love Working at Nysonian Culture We're founder-led and operate with speed, direct communication, and clear accountability We invest in tools and management practices that help colleagues do their best work Our products are used by customers globally AI is intentionally embedded in how we work, create, and scale Senior leaders are expected to create structure, make decisions, and stay close to execution Growth & Development Competitive pay and meaningful opportunities for performance-based advancement Ownership of strategy, systems, execution, and team buildout within your function Opportunity to build and scale a meaningful part of the business across two consumer brands Scope and compensation growth tied to performance, role expansion, and measurable business impact We are proud to be an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, sex, religion, gender, marital status, national origin, genetics, disability, age, veteran status or other characteristics.

Location: Remote (Canada); Remote (US) Workplace: Remote BUILD SOMETHING PEOPLE LOVE Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $169 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual https://www.wealthsimple.com/en-ca/culture and learn more about how we work https://www.wealthsimple.com/en-ca/careers. ABOUT THE CAPITAL MARKETS TEAM Capital Markets is responsible for the company’s financial markets facing businesses including daily trading operations, opportunity identification and growing those business lines. As Wealthsimple’s interface to the markets we are ultimately responsible for the execution of all the firm’s orders both on behalf of our clients and the company’s own trading activities. In order to accomplish this we work closely with and partner with functions across the company. ABOUT THE ROLE As a Quantitative Trader at Wealthsimple, you’ll be conducting research and building models that describe how the markets behave, turn that research into algorithms and business insights to produce an edge for our clients and the company. You will also manage the daily trading operations of those systems. In this role you will have the opportunity to apply the theoretical, coming up with ideas, simulating to prove a thesis, validating with real world results and dynamically responding to changing conditions. We’re looking for self-starters who are excited about the prospect of building a new function, defining new tools and pipelines and ultimately owning the outcomes. WHAT YOU'LL DO - Build quantitative models that describe and predict how markets move; this will involve conducting research and understanding liquidity profiles, price movement and market microstructure. - Model the characteristics of order flow, including flow toxicity, classification of activity, to inform and optimize routing, execution and risk decisions. - Develop trading algorithms to programmatically decide how orders are generated and routed, and work alongside engineers to deploy those systems into production. - Manage the daily trading operations of our algorithmic trading systems. - Respond to changing market conditions to ensure algorithms are placing orders optimally. - Design and maintain simulation frameworks to validate algorithm performance against historical data. - Partner cross-functionally with engineering, data science, operations and product teams. SKILLS YOU BRING - 3+ years of experience in quantitative trading, quantitative research, algorithmic trading development, or a closely related capital markets role - STEM degree from a leading institution - Excellent Python scripting - Solid foundation in statistics, probability, stochastic processes, and quantitative methods - Understanding of Canadian equity market structure - Familiarity with low-latency trading technologies and methodologies - CIRO-registered as a trader is an asset WHO YOU ARE - You take ownership, and want to directly drive outcomes. You will come up with the ideas, prove those ideas out, get them implemented and be responsible for how they run day in and day out. Holding yourself accountable for the results. - You are data driven and methodical. You are comfortable working with statistics and will follow the numbers, not force them to conform to a thesis. - You like to understand the full system, if something does not align with your mental model you will ask questions and dig in. - You have a passion for financial markets, including news-moving items, financial engineering, various assets, market microstructure and the technology that enables markets. - You can communicate complex concepts clearly, and are adept at adjusting based on your audience. WHY WEALTHSIMPLE? 🌸 Top-tier health benefits and life insurance 📈 Long-term group savings with employer match, through Wealthsimple for Business 🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year* ✈️ 90 days away: work outside Canada for up to 90 days per year* 👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS 🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work. *Unlimited paid sick days, Wellness Days and the 90 day away program do not apply to certain roles. ICYMI Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building. Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs. AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.

Задачи: — Разработка бэкенда на Python (FastAPI): REST/GraphQL API, оптимизация PostgreSQL, асинхронные задачи (Celery, Kafka, RabbitMQ) — Интеграция LLM в продукт: RAG, агенты, суммаризация, стриминг, MCP на Claude, OpenAI, GigaChat и локальных моделях — Фронтенд по необходимости: React + TypeScript, админки, дашборды — Рефакторинг легаси, декомпозиция монолитов, участие в архитектуре — Code review и менторство Требования: — Сильный уровень в коммерческом Python (обычно 5+ лет), уверенный FastAPI — Production-опыт интеграции LLM в веб-приложения — Опыт с очередями и оптимизацией под нагрузку (Kafka, RabbitMQ, Celery, кеширование) — AI-ассистенты (Claude, Codex, Cursor и т.п.) как ежедневный рабочий инструмент — Будет плюсом: Docker, Kubernetes, GitLab CI / GitHub Actions, Prometheus / Grafana — Опыт с легаси на разных стеках и умение быстро в них погружаться Условия: — Полная удалёнка, 5/2, 8 часов, гибкое начало дня — Оплата до 1500 руб/час на руки (≈240 000 в месяц), финальная цифра по итогам собеседования — Выплаты 2 раза в месяц: аванс 25-го, зарплата 10-го — Рост до ведущего специалиста с расширением зоны ответственности — Разнообразные задачи с AI и автоматизацией, минимум бюрократии, реальная свобода в решениях Важно: — Отклики без сопроводительного письма не рассматриваются — В письме нужно ответить на 4 вопроса по опыту с LLM, FastAPI, React и AI-ассистентами — Указать ссылку на GitHub/портфолио, ожидаемую ставку и дату старта — Шаблонные отклики без конкретики не рассматриваются — Можно написать, какую задачу из проектов кандидат бы взял первой и почему

Location: San Francisco, CA; New York, NY Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU'LL DO - Learn the Platform: Become an expert on Sierra's platform and how AI agents transform customer experiences, from agent design and workflows to integrations, so you can speak credibly with technical and business stakeholders. - Discovery & Demos: Participate in efficient discovery calls to understand customer needs, answer technical questions (ideally in a single conversation), and grow to deliver standard product demos and account coverage for the sales team. - Proofs of Concept: Support senior SEs in building demos and proofs of concept, and keep demo environments current and ready for customer use. - APIs & Integrations: Educate customers on Sierra's APIs, webhooks, and integration patterns, and build and deploy scripts against a test environment on demand. - RFPs & Collateral: Help the team respond to RFPs, RFIs, and security questionnaires, and create presentations, positioning statements, and other sales collateral. - Partner with Sales: Advocate for your AEs and customers in internal technical conversations, join customer meetings and events, and keep CRM records and opportunity data accurate. - Close the Loop with Product: Act as a bridge between Sales and Product, translating customer feedback into actionable input and enrolling the right customers in beta programs. - Grow Your Craft: Complete product, sales, and process training and certifications, with structured coaching and mentorship from senior Sales Engineers. WHAT YOU'LL BRING - Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. - 1+ years of experience in a customer-facing technical role, such as pre-sales, solutions engineering, technical support, or consulting. Strong internships or early-career experience count. - Ability to explain complex technical concepts clearly to both technical and non-technical audiences. - Working knowledge of at least one of: cloud software, APIs and integrations, or networking and automation systems. - Curiosity about how businesses run and a genuine interest in building trusted relationships with customers. - Strong written and verbal communication, organization, and attention to detail, plus comfort with CRM tools (e.g., Salesforce) and standard productivity software. - A collaborative, quick-learning mindset: someone who treats sales as a team sport and takes feedback well. EVEN BETTER... - Hands-on experience with APIs/webhooks, JSON, and scripting (e.g., Python or JavaScript). - Familiarity with AI and ML concepts, workflows, or conversational AI and customer experience platforms. - Exposure to consultative selling, or experience responding to RFPs and security questionnaires. - A history of tinkering, whether with hardware, sensors, or side projects, that shows you learn by building. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: USA (Remote) Workplace: Remote Mysten Labs’ mission is to advance the internet through step-function improvements in what technology makes possible. We build foundational infrastructure and products that give people, businesses, and developers new ways to interact, transact, and create value. Our work spans on-chain finance and the emerging agent economy. Through Sui, Move, and our broader technology stack, we’re building the systems that make these experiences possible - from secure, scalable blockchain infrastructure to new ways for businesses and AI agents to interact. Responsibilities - Build and operate the Security Observability & Data Platform (tens of TB/month and growing). This covers ingestion, normalization and retention, plus the query and detection layer on top. Detections are code: tested, reviewed, and measured for precision. - Own endpoint security across the fleet: deploy, tune and respond with EDR; run and configure binary authorization; and set hardening baselines with IT Operations. - Lead threat hunting, internal investigations and insider-threat work. Handle security incidents end to end: triage, containment, forensics, root cause, and the control that prevents a repeat. - Build the next generation of security services and run them in production: zero-trust AuthN/AuthZ, a uniform blocking service, an application proxy, asset inventory, developer portal, and compliance as code. - Build and run the agent platform (local and Kubernetes). Use LLM agents to automate triage, enrichment, investigation and response, with deterministic checks wherever a model's answer isn't enough. - Review infrastructure and cloud designs (Kubernetes, AWS/GCP, bare metal, CI runners) for security, and help engineering teams adopt the shared services instead of building their own. - Run red-team and adversary-emulation exercises, and turn the results into detections and fixes. - Write runbooks and post-mortems that someone who wasn't in the room can follow at 3 a.m. Minimum Qualifications - Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience. - 5+ years in security engineering, detection and response, or infrastructure/SRE with a security focus, including hands-on incident response on endpoints and in the cloud. - Experience operating an EDR, writing and tuning detections. Knowledge of macOS and Linux internals as attackers use them: persistence, credential theft, process injection, living-off-the-land binaries. - Experience building or operating telemetry pipelines and a SIEM or security data lake at TB scale. Strong SQL, including detection logic over large datasets. - Hands-on production engineering: Linux, containers, Kubernetes, at least one major public cloud, infrastructure as code, monitoring and alerting. - Proficiency in Python or Go, and comfort with Rust or willingness to work in it (most of Mysten's stack are Rust). - Working knowledge of identity: SSO (OIDC/SAML), phishing-resistant MFA, device trust, and how session and token theft work. - Strong written communication: can run an incident channel and write the post-mortem. - Interest in the web3 space is required. Preferred Qualifications - Experience building zero-trust access, identity-aware proxies or policy engines. - Binary authorization or allowlisting at fleet scale - Familiarity with the threat actors that target crypto companies and their methods, from social engineering and fake campaigns to supply chain compromises. - Digital forensics (memory, disk, macOS unified logs) and malware analysis. - Experience building security tooling with LLM agents (Claude Code skills or comparable), and a clear sense of where models help and where deterministic tooling has to do the work. - Compliance as code (CIS benchmarks); experience in ISO 27001 or SOC 2 environments. - Publications, conference talks or open-source security tooling. Employment is contingent upon the successful completion of a background check, which may include verification of employment history, education credentials, criminal history, and other relevant information. Regarding the recent rash of technology job scams: Be aware that emails from genuine Mysten Labs group recruiters will always come from the @mystenlabs.com http://mystenlabs.com domain or related subdomains (e.g., mystenlabs.com/careers http://mystenlabs.com/careers). Remember: you can always verify positions on our job boards at www.mystenlabs.com/careers http://www.mystenlabs.com/careers. To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. Our team is remote first and we are hiring across the world. Here at Mysten Labs, you’ll be joining a world-class team with tremendous growth potential as we bring the next billion users to web3. We raised a $300M Series B round from top Silicon Valley led venture funds like Jump Crypto, Andreessen Horowitz (a16z), Binance Labs, Redpoint, Lightspeed, Coinbase Ventures, Electric Capital, Standard Crypto, NFX, Slow Ventures, Scribble Ventures, Samsung Next, Lux Capital, among other investment firms and strategic partners. Come join us and build the future of web3!

Ваши обязанности: Разрабатывать и поддерживать ETL-процессы для загрузки данных в нашу DWH на Vertica; Проектировать и развивать витрины данных, чтобы аналитики и бизнес-пользователи получали точные и своевременные метрики;