Вакансии

Location: Mexico City, Mexico; Guadalajara, Mexico; Monterrey, Mexico Top 3 Reasons To Join Us International Environment 100% Remote Working on the latest tech for the Insurtech Market Leader About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global no-code insurance platform for health, life, and P&C We’re the winner of the Insurtech of the Year in all of Asia and other awards globally We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world We are fully funded and backed by reputable VC funds and strategic institutional investors We have a global presence in Asia, EMEA and the Americas We’ve grown our annualized revenue by over 30x since January 2021 We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world About the Role A cloud technology-focused individual providing design and delivery expertise for forward-looking solutions in a modern cloud-based insurance environment. The successful candidate will work directly with clients, assessing their needs, designing tailored solutions, and supporting business initiatives in alignment with defined roadmaps. This role is technology agnostic but emphasizes solutions leveraging heavily on AWS and/or GCP environments, incorporating elements of open-source, PaaS, and SaaS components. What You Will Do Engage with clients to understand their requirements and advise on appropriate solution architectures Collaborate with Product Managers to ensure alignment between client needs and solution design Work closely with Delivery Managers to oversee the architecture approach during solution deployment Explore a range of possibilities and creative alternatives to identify the most effective solutions Ensure that designed solutions are implemented in accordance with client expectations and company standards Assist in identifying, specifying, and selecting off-the-shelf components to meet client needs Provide ongoing support and guidance to clients throughout the implementation process Maintain awareness of industry trends and emerging technologies to continuously improve solutions Required Skills and Knowledge At least 6 years of professional experience in solution architecture design and delivery roles in the insurance vertical with exposure to multiple lines of business Experienced in delivering cloud-based technology product solutions in an enterprise environment Ability to assist in defining and socialising a product/enterprise roadmap Ability to translate client requirements into actionable steps and solution architectures Understand business architecture models & patterns Has designed and implemented innovative and creative solutions to business problems Can think "outside the box", but also be able to understand the business constraints that lead to “in the box” approaches Understand the optimum approaches for cloud-based applications with high availability and highly scalable solutions Experienced in designing solutions in a Relational DB and noSQL environment Experienced in designing for API & Micro-services centric environments Demonstrated capability to self-learn new technology trends and approaches Ideally has experience or understanding of the benefits of low-code platforms While the Solution Architect is not expected to build the solutions experience of multiple development languages & various DB engines will be advantageous Exposure to authentication and authorisation concepts (SSO, SAML integration, identity federation etc) Excellent communication skills, both written and verbal Required Competencies Must be equally comfortable discussing the solution strategies and enterprise roadmap with people at all levels of our organisation and CxO to project-level teams in our clients Strong analytical skills & ability to understand and collect business requirements from corporate clients. Strong ability to build the value proposition and solution documents, and in some cases, the business case for a corporate client. Relationship management experience with corporate clients. Excellent organisational, interpersonal & communication skills and an ability to engage audiences Excellent decision-making and judgment skills Understanding of insurance business processes across all areas and at least two lines of business Maintains direction and focus through proactive planning and organized approaches to work Certification in one architecture discipline (TOGAF, Zachman, etc.) is a distinct advantage Certification in one cloud environment is a distinct advantage with a broad knowledge and experience of the cloud platform’s capabilities A high proficiency in working in English as your primary language Why You'll Love Working Here Annual Leaves Annual Performance Bonus Health Insurance Remote Work Allowance Anniversary Bonus Stock Options (after 6 months) Company activities and events Learning and development plan CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: United States Workplace: remote About Lyra Health Lyra Health is a leading provider of evidence-based mental health care, serving more than 20 million people globally in partnership with employers and more than 100 million through health plan and partner relationships. The company has delivered more than 15 million sessions of mental health care, published more than 35 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness, and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions. About the Role We are seeking a Staff ML/AI Engineer to define and drive the architectural vision for Lyra’s machine learning and generative AI technology landscape. In this role, you will serve as a technical anchor across the engineering and data organizations—architecting enterprise-scale AI platforms, setting technical strategy for high-impact AI/ML initiatives, and ensuring our AI products operate with top-tier reliability, security, and medical precision. The ideal candidate is a seasoned technical leader who excels at translating complex healthcare challenges into scalable platform solutions, building consensus across cross-functional leadership, and elevating the technical bar for the entire engineering organization. Lyra is for you if you Thrive on working with brilliant teammates to solve complex, meaningful problems Are passionate about making a social impact and supporting people at their most challenging moments Enjoy cross-functional collaboration with physicians, therapists, data scientists, data analysts and product managers Responsibilities Drive AI Platform Architecture: Design and execute the long-term roadmap for Lyra’s machine learning and generative AI platform, enabling fast, safe, and reliable deployment of frontier models across the company. Lead AI Infrastructure Vision: Architect end-to-end training, fine-tuning, and low-latency inference platforms, including centralized RAG architecture, vector databases, and enterprise evaluation/guardrail frameworks. Set Engineering Excellence Standards: Establish organizational standards for the full AI/ML SDLC—from dataset lineage and CI/CD pipelines to automated model evaluation, red-teaming, and production monitoring. Cross-Functional Technical Leadership: Partner closely with Product Management, Data Science, Security, and Clinical leaders to translate strategic clinical goals into foundational AI capability roadmaps. Mentor and Multiply Impact: Elevate the engineering culture by mentoring Senior ML Engineers, conducting high-leverage architectural reviews, and establishing engineering best practices across teams. Hands-On Leadership: Lead by example through technical prototypes, critical-path architecture, and strategic coding contributions. And of course, you will be coding! Qualifications 8+ years of experience deploying complex ML/AI solutions into mission-critical production environments, with a proven track record of technical leadership. Deep System & Software Engineering Expertise: Mastery of Python, RESTful API design, Protobuf, and microservices architecture. Production AI/ML Infrastructure Mastery: Deep expertise with Docker, Kubernetes, container orchestration, and real-time inference services. Modern Generative AI Architecture: Hands-on experience designing and deploying RAG pipelines, fine-tuning LLMs, managing vector databases, and building robust LLM evaluation/guardrail frameworks. Data Layer Systems: Expertise with relational databases, low-latency key-value stores, distributed queueing system architectures (e.g., Celery, Kafka), and data pipeline orchestration. Cloud Architecture: Strong experience architecting cloud-native solutions on AWS (or equivalent cloud providers). Strategic Communication: Exceptional ability to distill highly ambiguous technical problems into clear strategic priorities and influence leadership across engineering, product, and business domain disciplines. Preferred Qualifications Polyglot Engineering Background: Experience writing high-performance production code in Java or Kotlin. Healthcare & Sensitive Data Expertise: Experience architecting AI/ML systems within highly regulated environments (HIPAA compliance, SOC2, handling PHI/PII). MLOps / Platform Productization: Experience building internal developer platforms or ML tooling used by dozens of data scientists and engineers. "We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.   By applying for this position, you acknowledge that your personal information will be processed as per the Lyra Health Workforce Privacy Notice. Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra.  We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA) and special category data under the UK and EU GDPR.  Providing this information is optional and completely voluntary, and if you provide it you consent to Lyra processing it for the purposes as described at the point of collection, for example for diversity and inclusion initiatives.  If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form.  This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. Outside of the United States, for example in the EU, Switzerland and the UK, you may have the right to request access to, or a copy of, your personal information, including in a portable format; request that we delete your information from our systems; object to or restrict processing of your information; or correct inaccurate or outdated personal information in our systems. These rights may be subject to legal limitations. To exercise your data privacy rights outside of the United States, please contact globaldpo@lyrahealth.com. For more information about how we use and retain your information, please see our Workforce Privacy Notice." As a full-time Staff ML Engineer, you will be employed by Lyra Health, Inc. The anticipated annual base salary range for this full-time position is $161,000 to $221,500. The base range is determined by role and level, and placement within the range will depend on a number of job-related factors, including but not limited to your skills, qualifications, experience and location. This role may also be eligible for discretionary bonuses. Annual salary is only one part of an employee’s total compensation package at Lyra. We also offer generous benefits that include:  Comprehensive healthcare coverage (including medical, dental, vision, FSA/HSA, life and disability insurances) Lyra for Lyrians; coaching and therapy services Equity in the company through discretionary restricted stock units Competitive time off with pay policies including vacation, sick days, and company holidays Paid parental leave  401K with up to 3% matching Monthly tech allowance We like to spread joy throughout the year with well-being perks and activities, surprise swag, regular community celebration…and more!   We can’t wait to meet you.

Location: United States Workplace: remote About Lyra Health Lyra Health is a leading provider of evidence-based mental health care, serving more than 20 million people globally in partnership with employers and more than 100 million through health plan and partner relationships. The company has delivered more than 15 million sessions of mental health care, published more than 35 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness, and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions. About the Role: We are looking for an experienced Senior ML Engineer who is eager to build the tooling and services necessary to deliver ML and generative AI based products that make a significant impact within the organization.  The ideal candidate will be enthusiastic about taking ownership of their work, spearheading cross-functional projects, and providing guidance and mentorship to other team members. Lyra is for you if you: Thrive on working with brilliant teammates to solve complex, meaningful problems Are passionate about making a social impact and supporting people at their most challenging moments Enjoy cross-functional collaboration with physicians, therapists, data scientists, data analysts and product managers Responsibilities Build tooling and services that power the machine learning and generative AI powered solutions in production Training and inference platform services The model evaluation metrics and testing framework Build services that expose machine learning and AI based products Deploy and manage various applications that power various components of the the AI/ML SDLC process And of course, you will be coding every day! Qualifications 6+ years of experience deploying ML/AI solutions in production environments Ability to write high-quality code in Python Experience building RESTful APIs Experience defining and using Protobuf messages Experience working with Docker and deploying applications to Kubernetes Experience with relational and low-latency databases Experience working with Celery A strong desire to work on ML/AI based products A desire to learn new technologies quickly A love of building systems from scratch A thoughtful approach to balancing quality and deadlines in fast-paced settings Excellent communication skills with a talent for building consensus and alignment Strong organizational skills and the ability to distill complex problems into clear priorities that move the team and business forward Preferred Qualifications Experience building RAG (retrieval-augmented generation) based solutions Experience setting up and maintaining vector databases Experience writing production code in Java/Kotlin Experience building solutions on cloud infrastructure, particularly AWS Experience working with highly sensitive data in a healthcare environment "We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.   By applying for this position, you acknowledge that your personal information will be processed as per the Lyra Health Workforce Privacy Notice. Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra.  We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA) and special category data under the UK and EU GDPR.  Providing this information is optional and completely voluntary, and if you provide it you consent to Lyra processing it for the purposes as described at the point of collection, for example for diversity and inclusion initiatives.  If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form.  This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. Outside of the United States, for example in the EU, Switzerland and the UK, you may have the right to request access to, or a copy of, your personal information, including in a portable format; request that we delete your information from our systems; object to or restrict processing of your information; or correct inaccurate or outdated personal information in our systems. These rights may be subject to legal limitations. To exercise your data privacy rights outside of the United States, please contact globaldpo@lyrahealth.com. For more information about how we use and retain your information, please see our Workforce Privacy Notice." As a full-time Sr. ML Engineer (MLOps), you will be employed by Lyra Health, Inc. The anticipated annual base salary range for this full-time position is $143,000 to $197,000. The base range is determined by role and level, and placement within the range will depend on a number of job-related factors, including but not limited to your skills, qualifications, experience and location. This role may also be eligible for discretionary bonuses.  Annual salary is only one part of an employee’s total compensation package at Lyra. We also offer generous benefits that include:  Comprehensive healthcare coverage (including medical, dental, vision, FSA/HSA, life and disability insurances) Lyra for Lyrians; coaching and therapy services Equity in the company through discretionary restricted stock units Competitive time off with pay policies including vacation, sick days, and company holidays Paid parental leave  401K with up to 3% matching Monthly tech allowance We like to spread joy throughout the year with well-being perks and activities, surprise swag, regular community celebration…and more!   We can’t wait to meet you.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success Support customers building with both the Claude API and Claude for Work Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases Identify common integration patterns and contribute insights back to our Product and Engineering teams Travel occasionally to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns You may be a good fit if you have: 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Comfortable with python Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Please note this role requires 3 days in office per week. Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $240,000 — $380,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, California; New York, New York Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: Millions of people use Notion every day, and we’re growing quickly. The Infrastructure Security team’s mission is to build a secure-by-default foundation across Notion’s technical stacks—architecting systems that make the secure path the easy path. As an IC4 on this team, you’ll own meaningful infrastructure security problems end-to-end: from identifying risk, to designing pragmatic controls, to shipping secure defaults that scale across engineering. This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days.   WHAT YOU'LL ACHIEVE: - Proactively enhance the security posture of our AWS accounts and cloud infrastructure. - Create secure frameworks for secrets management and authentication/authorization. - Design and deploy robust Identity and Access Management (IAM) solutions. - Provide guidance and education on security and privacy best practices to cross-functional partners. - Participate in (and help drive) mitigation strategies during security-related incident response.   SKILLS YOU'LL NEED TO BRING: - Security architecture and expertise: you’ve built and maintained systems to secure cloud architectures, ranging from secrets management to Identity and Access Management solutions. - Backend/infrastructure development: you’ve written and shipped production-grade code, and can contribute to the codebase and architecture to raise the bar on secure systems design. - Working in production: you can debug systems in production and continuously improve components with minimal disruption. - Pragmatic, risk-based prioritization: you model threats, balance trade-offs, and focus security investments where they drive the most business impact. - Empathetic communication: you communicate nuanced ideas clearly in writing and in real time; in disagreements, you engage thoughtfully and look for the right compromise.   NICE TO HAVES: - AWS security best practices, zero trust architectures, and/or deep IAM expertise. - Data security or privacy engineering experience. - Experience applying AI tooling to defensive security workflows. - Participation in security communities (local or regional groups, conferences).   Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $230,000 - $280,000 per year.   By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: United States (Remote); Seattle, Washington; San Francisco, California; Portland, Oregon Workplace: Remote ROLE SUMMARY Join our Technical Services team as a Senior Platform Architect and drive transformational outcomes with Temporal. You’ll be the accountable technical owner from purchase to stable production, turning complex challenges into scalable, repeatable solutions. Shape delivery patterns, operational standards, and enablement strategies that accelerate customer success and create lasting competitive advantage across teams and environments. Location: Must reside in the Western Time Zone. WHAT YOU'LL DO Own Production Readiness and Activation - Act as the single owner of customers' scale-proof production readiness - Drive the first production workflow and reduce time-to-production - Establish guardrails and best practices for reliability, failure handling, scaling, and upgrades - Make developers Temporal SDK experts, make customer platform architects Temporal Server and SDK best practice experts - Set up alerting to catch issues before customers do - Work on your assigned customers' most difficult problems - Identify and remove activation blockers early before they become escalations - Optimize costs and performance with customers Run the Customer's Technical Program - Build and execute a KPI-driven success plan tied to production outcomes - Define standards for patterns, training, governance, and operational readiness - Lead cross-functional coordination of Professional Services, Support, Partners, and internal teams, leveraging project management to ensure on-time, high-quality delivery - Proactively manage technical risk, migrations, and architectural debt Ensure Long-Term Technical Health - Set and validate reliability, observability, and operational standards - Monitor health signals and intervene before the customer knows they're happening - Lead technical reviews, readiness checkpoints, and maturity assessments - Certify teams and workloads as production-ready Drive Adoption Through Production Success - Surface growth signals based on usage, maturity, and confidence - Partner with customers, Growth AEs and Solution Architects to unlock new workloads - Translate production success into clear technical narratives for renewal and growth - Advocate for customer needs and real-world patterns internally WHAT YOU'LL BRING - 6+ years of professional software engineering or solutions engineering experience - Strong understanding of distributed systems, workflow orchestration, and reliability engineering principles - Proficiency in at least one modern programming language such as Go, Java, TypeScript, or Python - Experience building, deploying, and operating production systems at scale - Demonstrated ability to debug complex technical issues and guide customers through resolution - Strong customer-facing skills with the ability to communicate technical concepts clearly to diverse audiences - Experience creating technical documentation, runbooks, and training materials - Self-motivated with the ability to work independently while collaborating across teams - Willingness to travel occasionally for customer engagements and team events NICE TO HAVE - Prior experience with Temporal or similar workflow orchestration platforms - Experience with observability tools and practices for distributed systems - Background in professional services, technical consulting, or solutions engineering roles - Experience with Kubernetes, cloud platforms, and infrastructure-as-code tools - Contributions to open source projects or developer communities - Experience designing and delivering technical training or workshops Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: Remote What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. Who we want This is a role for someone who wants to work on a hard problem, deliver real impact and be pushed to be the best version of themselves. As an Enterprise Sales VP, you'll be embedded in the Enterprise Sales team and report directly to the VP, Public and Labor. The Enterprise Sales VP, Labor and Trust will expand our footprint with large labor health & welfare funds through direct sales. This is an individual contributor seat with a defined national territory: a named book of private multiemployer Taft-Hartley funds at 10,000 to 100,000 participants. We are expanding our team in order to continue to hit our ambitious Enterprise Sales goals. We are searching for a candidate who possesses the exceptional ability to establish and cultivate high-level relationships, as this will be instrumental in our pursuit of growth and innovation. What you will do Own the direct sales cycles and deploy sales objectives through the preparation and measuring of sales quotas, prospecting and pipeline management across a named national book of labor health & welfare funds Sell to boards of trustees: build fund office relationships, navigate joint labor-management board dynamics, and win both the labor and management sides of the room Keep current with market knowledge and competitor products to effectively communicate the value proposition of a relationship with Garner Support the development of new, strategic relationships with fund professionals (administrators, actuaries, counsel, and consultants) and carrier labor channels, including working the conference circuit (IFEBP), and influence the buying decision What we're looking for Bachelor's degree and 7+ years of deep sales experience with a focus on health benefits (medical, ancillary, vendor) via brokers, consultants, and insurers 5+ years selling into labor / Taft-Hartley funds strongly preferred, with fluency in how these funds actually work: joint boards, collective bargaining linkage, and fund professionals (administrator, actuary, counsel, investment consultant) Existing, reference-checkable relationships with trustees, fund administrators, and the labor consultant ecosystem (Segal above all), plus credibility in the room with union leadership A data literacy with the ability to turn complex, disparate datasets into insights that drive actions Proven experience with developing processes (sales playbooks, KPIs, collateral creation, etc), and executing on sales strategies to promote long term success A desire to do work that matters: and to be held to a high standard while doing it. You're energized by a mission with measurable outcomes, not just good intentions. You engage with AI tools as part of how you do your best work, and hold yourself accountable to outcomes that matter beyond your team's metrics. What you'll get here You'll work on problems that matter, at a company working to change healthcare at scale. You'll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you'll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It's demanding by design. You'll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Where you will work: Garner is headquartered in NYC, but this position is available for individuals who are comfortable with remote work and occasional travel to HQ. Visa sponsorship: Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time. Compensation The target total comp (inclusive of base + bonus) range for this role is $425,000 - $475,000. Individual compensation will depend on qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive plan and benefits package, including: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health, and more. Few roles offer this combination: work that is genuinely hard, a mission that is genuinely important, and a team that is genuinely invested in your success. If that's what you're looking for, we'd love to meet you. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: Austin, TX Vectra® is the leader in AI-driven threat detection and response for hybrid and multi-cloud enterprises. The Vectra AI Platform delivers integrated signal across public cloud, SaaS, identity, and data center networks in a single platform. Powered by patented Attack Signal Intelligence, it empowers security teams to rapidly prioritize, investigate and respond to the most advanced cyber-attacks. With 35 patents in AI-driven threat detection and the most vendor references in MITRE D3FEND, organizations worldwide rely on the Vectra AI to move at the speed and scale of hybrid attackers. For more information, visit www.vectra.ai. We are looking for a Senior Software Engineering Manager to lead key areas of Vectra’s Platform engineering organization. The Platform team builds and operates foundational software, infrastructure, and tooling used by our products, customers, support teams, and engineering teams. This role is responsible for leading high-performing engineering teams that own critical platform capabilities across appliance software, cloud infrastructure, deployment systems, operational tooling, service reliability, and developer experience. You will partner closely with Product, Security, Support, SRE, Cloud, Detection, and other engineering leaders to deliver reliable, secure, and scalable systems. This is a senior management role for someone who can combine strong technical judgment, operational discipline, people leadership, and cross-functional execution. What You’ll Do Lead and grow one or more engineering teams responsible for foundational platform capabilities. Provide direct management, coaching, career development, and performance feedback for engineers and technical leads. Drive predictable delivery through clear planning, ownership, estimation, Jira hygiene, retrospectives, and consistent follow-through. Partner with Product Management and engineering leadership to define priorities, clarify requirements, and make thoughtful tradeoffs. Participate in architecture discussions and guide technical direction across platform systems. Own operational excellence for team-owned services, including reliability, security, incident response, observability, and root-cause follow-up. Improve platform services consumed by internal engineering teams and customer-facing products. Identify opportunities to improve engineering efficiency through AI-assisted development, automation, and better internal tooling. Encourage responsible use of AI tools for code understanding, test generation, documentation, operational analysis, and repetitive workflow automation. Partner with engineering leaders to evaluate where AI can reduce toil, improve delivery predictability, and help teams move faster without compromising quality, security, or maintainability. Ensure production deployments are fast, reliable, secure, and well-supported by automation. Help define and mature service ownership, operational scorecards, and platform standards across teams. Partner with recruiting to hire, onboard, and retain strong engineering talent. Communicate clearly with senior leaders about progress, risk, delivery health, and investment needs. Platform Scope Depending on organizational priorities, this role may lead or influence work across: Appliance operating system ownership, upgrades, hardening, packaging, provisioning, and migrations. Hardware and virtual appliance platform enablement. Cloud infrastructure across AWS, Azure, Kubernetes, networking, databases, reliability, operations, and alerting. Device-to-cloud connectivity and customer lifecycle systems. CI/CD, build systems, release automation, developer tooling, and engineering workflow automation. Observability, telemetry pipelines, service health dashboards, incident trends, and operational reporting. Containerization standards, runtime operations, and secure deployment patterns. Required Qualifications 5+ years of engineering management or technical leadership experience, including ownership of production software, infrastructure, or platform systems. Experience leading teams that deliver reliable, secure, and scalable software. Strong technical judgment with the ability to discuss architecture, design, code quality, operations, and delivery tradeoffs. Experience with modern software engineering practices including code review, source control, CI/CD, automated testing, release management, and operational readiness. Strong Linux/Unix proficiency. Experience managing Agile delivery practices such as sprint planning, retrospectives, roadmap planning, and project visibility. Ability to lead cross-team initiatives with complex dependencies and ambiguous ownership boundaries. Strong communication, organizational, decision-making, and stakeholder management skills. Demonstrated ability to mentor, motivate, and grow engineers and technical leads. Preferred Qualifications Hands-on experience with AWS, Azure, Kubernetes, Docker, Terraform, GitHub Actions, Jenkins, Packer, or similar platform tooling. Experience with Linux internals, Debian packaging, AppArmor, cgroups, networking, iptables/nftables, or OS-level security. Experience with Python, Go, C++, or systems/backend development. Experience operating production environments and improving reliability, availability, security, and deployment safety. Experience applying AI-assisted tooling, automation, or developer productivity improvements to engineering workflows. Interest in using AI to improve software delivery, operational insight, documentation quality, incident analysis, or supportability. Experience with telemetry systems including metrics, logs, traces, dashboards, and alerting. Experience with appliance software, virtual appliances, customer-deployed infrastructure, or hybrid cloud products. Knowledge of networking, cybersecurity, threat detection, or security operations. What Success Looks Like Success in this role means the Platform team is a trusted partner across engineering: services have clear ownership, teams ship safely and predictably, operational issues are visible and acted on, engineers are growing, and platform investments make the broader product organization faster, safer, and more reliable. Vectra provides a comprehensive total rewards package that supports the financial, physical, mental and overall health of our employees and their families. Compensation includes competitive base pay, incentive pla n eligibility, and participation in the employee equity plan (stock options). Specific benefits offered var ies by location, but commonly in clude health care insurance , income protection / life insurance , access to retirement savings plans, behavioral & emotional wellness services , generous time away from work, and a comprehensive employee recognition program. Vectra is committed to creating a diverse environment and is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Location: London Our formula for success is to hire exceptional people, encourage their ideas and reward their results. As a Quantitative Trading Analyst, you will have an opportunity to combine the disciplines of risk management, research and technology to create optimal trading and investment strategies within the regulatory framework. You will work closely with experienced traders, software engineers and quantitative researchers. You will gain exposure to multiple asset classes through hands on trading experience and data analysis. Individual discovery and collaboration with fellow team members are encouraged to develop your understanding of market behavior. How you will make an impact… Investigate the potential application of existing strategies to new products Quantitatively analyze trade data and perform post-trade analysis of strategies Assist in the development of analytical tools Communicate relevant news, market events, and system behavior to team members in a clear and concise manner Be willing to challenge consensus on existing methodologies and trading strategies to contribute to the advancement of the team What you bring to the team… A bachelor’s, master’s, or PhD in mathematics, statistics, physics, engineering, computer science or related field graduating between December 2026 and June 2027 Advanced quantitative, analytical and problem solving skills and the ability to deploy those skills during time-sensitive situations A deep curiosity of analysing large data sets using your knowledge of probability and statistics Familiarity programming in Python, C++, C or similar languages Are adaptive, self-motivated, enjoy challenges and significant responsibility, and thrive in fast-paced, competitive environments Can advocate for your perspectives on trading strategies and risk in a concise manner to the team The ability to communicate effectively and work well in teams DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world.  We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.  DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice .

Location: Remote: San Mateo area About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. Job Title: Consulting Engineer Role Overview: As a Consulting Engineer at Neo4j, you will work closely with enterprise customers to  implement graph-powered solutions, contributing to all phases of the Neo4j implementation within their projects, from inception to roll-out. Partnering with customer engineering teams and Neo4j Principal/Senior Consulting Engineers, you will design graph data models, and help deliver successful Neo4j implementations from initial design through to production deployment. You will act as a trusted technical advisor during consulting engagements, working hands-on with Neo4j technology while helping customers adopt best practices for graph data modeling, application development, and modern AI-powered data architectures. You will also help customers solve complex data and analytics challenges by applying graph technology to deliver practical, production-ready solutions. Key Responsibilities: Work closely with customer engineering teams to lead and contribute to Neo4j implementations across the full project lifecycle, from initial design through to production roll-out Act as the technical subject matter expert on consulting engagements, providing hands-on guidance and technical leadership for succeeding with Neo4j technology Design and implement graph data models that represent complex relationships and support high-performance querying and analytics Architect and build solutions that meet both functional and non-functional requirements using Neo4j Support modern data and AI architectures by structuring graph data to enable advanced analytics, search, and emerging AI patterns such as RAG Collaborate with customer AI and data teams to integrate Neo4j into modern orchestration frameworks such as LangChain or LlamaIndex Provide guidance to customers on best practices for Data Engineering, focusing on optimizing data ingestion patterns into Neo4j. Develop solution architectures that address the technical requirements of customer projects Translate complex technical concepts into clear guidance for customer engineers and stakeholders Contribute to solution proposals, level of effort assessments, SOWs and technical recommendations for customer engineering and leadership teams Train and mentor customer teams on Neo4j best practices and graph development techniques Work collaboratively with Neo4j sales, sales engineering and support teams to ensure successful customer outcomes Travel may be required depending on customer engagement needs Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field (Master's degree is a plus). 3+ years of experience designing and developing enterprise-class applications, with a focus on data-driven or analytics-focused systems Strong experience in data modelling and designing data structures for complex applications, with familiarity across relational, NoSQL, or graph databases Experience designing scalable software architectures and working within modern application development environments Practical experience data engineering and structuring and optimizing data for modern search, analytics, or AI-driven applications Competence and hands-on experience in at least one of the following languages: Java, JavaScript, Python, Go, or C# Experience deploying applications on modern platforms such as Linux, Docker, or Kubernetes Familiarity with source control and development workflows using tools such as Git Strong problem-solving skills with the ability to work independently as well as collaboratively within a team Excellent written and verbal communication skills, with the ability to clearly explain technical concepts in customer settings Confidence presenting technical solutions and building strong customer relationships Ability to work independently in a remote, cross-functional organization Curiosity and enthusiasm for learning new technologies and development approaches Willingness to travel to client sites as needed. Bonus Points: 2+ years working in a consultative capacity in a Professional Services organisation Industry experience in Financial Services, Life Sciences, Manufacturing, Technology Experience working with graph databases such as Neo4j, TigerGraph, JanusGraph, or similar technologies Familiarity with Snowflake or Databricks, and NoSQL/Relational providers such as MongoDB, Couchbase, or Teradata. Experience in data science related projects and packages e.g. SciLearn, Keras, TensorFlow etc Experience working with cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years. Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific , BT Group , Caterpillar , Cisco , Comcast , Department for Education UK , eBay , NBC News , Novo Nordisk , Worldline , and others . Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. Countless industry awards . Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers. Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments) Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide. More information at www.neo4j.com . ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.

Location: Ukraine Workplace: Remote What this role actually is This is a hands-on operational role. Your customers are our employees. The work is a mix of live support, access administration, endpoint and MDM management, onboarding and offboarding, equipment logistics, and documentation, plus improving those processes so the same problems stop coming back. You will own requests end-to-end rather than passing them along, work directly with non-technical colleagues, and handle several things at once on a busy day. Routine service work is a permanent part of the job, not a temporary phase before something else. Key Responsibilities - Own employee IT requests end-to-end: prioritize by impact and urgency, keep people informed, resolve, document, and prevent recurrence. - Administer user accounts, permissions, and access across Google Workspace, Atlassian, GitHub, and AWS, applying least privilege. - Run IT onboarding and offboarding: accounts provisioned on day one, access revoked promptly on exit, devices recovered. - Prepare, configure, and maintain macOS and Windows workstations through MDM: policies, software deployment, patching, encryption, and recovery. - Own IT equipment procurement, delivery, returns, and inventory accuracy for employees across supported locations, including international shipping and vendor coordination. - Troubleshoot hardware, software, network, and SaaS issues methodically: reproduce, isolate, verify. - Maintain IT documentation, knowledge-base articles, and asset records so support does not depend on one person being online. - Reduce repetitive work through practical scripting and automation, and improve support processes without weakening security controls. - Enforce IT security and access policies; recognize and escalate suspicious activity and access gaps. Requirements - 3+ years of hands-on experience in IT support, Service Desk, or system administration, with personal ownership of the areas above (not adjacent exposure while other teams handled them). - Practical experience supporting macOS in a production employee environment. - Hands-on MDM administration (Jamf, Kandji, Intune, JumpCloud, Hexnode, or similar): enrollment, policies, software deployment, compliance. - Administration of Google Workspace, plus at least two of: Atlassian, GitHub access management, or cloud IAM (AWS / GCP / Azure). - Demonstrated ownership of access lifecycle - joiners, movers, leavers - including approval flows and least-privilege practice. - Experience with equipment provisioning, inventory, and remote/international delivery. - Solid understanding of network fundamentals (DNS, DHCP, VPN, TCP/IP) and endpoint security basics (encryption, EDR, MFA/SSO). - Experience working in a ticketing system with SLAs, and maintaining written documentation. - Ability to handle a high volume of concurrent requests, interruptions, and difficult support situations while communicating calmly and clearly. - At least one concrete example of automating or redesigning a repetitive support process, where you can explain your own contribution and the measurable outcome. - Ukrainian: fluent. English: B1 or higher — enough to support colleagues, write tickets, and maintain documentation in an international company. Nice to Have - Scripting and automation (Bash, PowerShell, Python). - Apple Business Manager, Zero-Touch / automated device deployment. - Experience with VPN, LDAP, or ZTNA solutions. - Exposure to ISO 27001 / SOC 2 processes or security audits. - Interest in security topics (access control, endpoint security, Zero Trust). - iGaming industry experience. - Relevant certifications (CompTIA A+/Network+, Google Workspace, Microsoft, Apple, or similar). What We Offer - Competitive Salary - Quarterly Bonuses - Unlimited Paid Time Off - Unlimited Paid Sick Leave - Remote & Flexible Working - Private Medical Insurance - Financial Support for Life Events - Professional Development Budget - International Exposure - Regular Company Events *Benefits may vary depending on location and contractual agreement Recruiting Process - HR Interview - Technical Interview - Final Interview By submitting your application, you acknowledge that your personal data will be processed in accordance with our Privacy Policy https://playson.com/privacy.

Location: Kuala Lumpur, Malaysia About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. About This Role We are building the next-generation Financial Cloud platform, enabling Bybit to deploy and operate regulated financial services across 50+ global sites, each subject to different compliance requirements (EU MiCA, APAC licenses, etc.). Each site is a unique combination of business modules, infrastructure configurations, and compliance controls — managed as versioned, reproducible units. As a Senior DevOps Engineer for the Financial Cloud Toolchain, you will drive the end-to-end developer experience and deployment automation for this multi-site platform. You will design and build systems that ensure every deployment is reproducible, every dependency is traceable, and every site automatically and safely converges to its declared state. What You'll Do Build & Release Engineering (40%) Design and implement hermetic, deterministic build pipelines that produce reproducible artifacts for all platform modules Build and maintain a content-addressable artifact registry with full provenance capabilities (SLSA L3+) Implement dependency graph analysis tooling to compute build/deploy blast radius for every change Own the Version Set model: define, validate, and promote locked module-version combinations ("Manifests") through environment stages Enforce semantic versioning governance and automated compatibility verification across 50+ independently versioned modules Multi-Site Deployment Orchestration (30%) Design a GitOps-based deployment engine that reconciles each site to its target Manifest state Build progressive rollout capabilities: canary → regional → global, with automatic rollback on SLO violations Implement site-aware configuration rendering: given a site's Manifest + region + compliance tier, produce the complete deployable state Create an automated upgrade plan generator: compute safe upgrade paths based on dependency ordering and compatibility constraints Operate and evolve the Financial Cloud configuration center and module selection center Internal Developer Platform (20%) Build self-service workflows for module teams: onboard new modules, publish versions, request promotion to production Manifests Provide real-time visibility: cross-site version drift, deployment health, dependency freshness, compliance patch coverage Design the "Module → Manifest" pipeline: from module selection to validated Manifest generation in ≤30 minutes Integrate with internal CI systems to provide selective test execution based on dependency graph analysis Reliability & Compliance Automation (10%) Automate compliance evidence generation for regulated deployments (audit trails, SBOMs, change records) Design cold-start orchestration that automatically derives correct startup ordering from the dependency graph Build chaos testing frameworks to validate site-level DR and failover under real module compositions Ensure Phase 1 infrastructure deployment automation ≥95%, Phase 2 data layer ≥90%, Phase 3 business applications ≥90% ────── What We're Looking For Must-Have 8+ years in platform engineering, DevOps, or infrastructure toolchain development, serving 500+ services or 100+ engineers Deep hands-on experience with build systems — you've designed or operated them, not just consumed them Track record of building dependency graph tooling — static analysis, runtime tracing, or both — for impact analysis and selective testing Experience designing and operating version governance systems: BOM/Manifest models, compatibility matrices, constraint solving Production GitOps deployment experience spanning multi-cluster / multi-region environments Solid Kubernetes expertise: custom Controllers, Operators, CRDs for platform automation Artifact management and supply chain security experience: content-addressable storage, SLSA attestation, SBOM generation, artifact signing Strong Plus Experience building an Internal Developer Platform (IDP) with self-service module onboarding and promotion workflows Large-scale monorepo governance: code ownership, visibility boundaries, build graph optimization Financial or regulated industry experience: understanding of compliance-as-code, audit automation, multi-jurisdictional requirements Multi-site / multi-tenant SaaS platform experience where each site has a different module composition Familiarity with constraint solvers or package manager dependency resolution algorithms (SAT solvers, version unification) Cryptocurrency / fintech platform experience, especially exchange or trading infrastructure Nice-to-Have Toolchain development experience in Rust, Go, or Python Familiarity with Terraform / Pulumi infrastructure-as-code Experience with OPA / Rego for policy-as-code in deployment pipelines Experience operating platforms across China / APAC / EU regions with understanding of data residency requirements Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Location: Kuala Lumpur, Malaysia About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. Core Responsibilities Chaos Engineering Platform Architecture & Development (50%) Design and build an enterprise-grade chaos engineering platform supporting multi-cluster (K8s + EC2 hybrid), multi-region, and multi-environment (testnet/mainnet) deployments Core capability development: Fault Injection Engine: Pod-level / Node-level / AZ-level fault simulation, network latency / packet loss / partition, dependency timeout / error injection Production Safety Assurance: Blast radius control, one-click Kill Switch, automatic rollback, real-time impact monitoring Traffic Isolation: Experiment traffic tagging and isolation to ensure fault injection does not impact real users Fault Isolation: Precise impact scoping at service / cluster / AZ granularity Design experiment orchestration capabilities supporting complex fault scenario composition (e.g., simultaneous network latency + downstream timeout + cache invalidation) Deep integration with existing monitoring, alerting, and SLO systems to achieve an automated closed loop: inject fault → observe impact → determine pass/fail Production Resilience Validation Framework (30%) Define safety standards and approval workflows for mainnet fault injection Design and drive routine chaos experiments: Daily patrol-level experiments: Low-risk experiments executed automatically on a daily/weekly basis Periodic validation experiments: Monthly/quarterly resilience verification of critical paths Large-scale drills: Cross-AZ / cross-region disaster recovery failover validation Establish a resilience scoring system to quantify system health based on experiment results Deliver improvement recommendations and drive business teams to remediate identified weaknesses 3. Technology Selection & Team Enablement (20%) Evaluate and select the technology foundation (Chaos Mesh / Litmus / custom components — hybrid strategy) Develop chaos engineering best practices and playbooks to enable SRE teams and application developers Mentor and grow the team (2–3 engineers) in chaos engineering capabilities Stay current with industry developments and introduce cutting-edge practices (e.g., AI-driven fault scenario discovery) ────── Requirements Must-Have: 8+ years of backend / infrastructure engineering experience, with 3+ years dedicated to chaos engineering or stability engineering Hands-on experience with large-scale fault injection in production environments (not just test environments), with deep understanding of production safety constraints Expert-level proficiency in Kubernetes fault injection (Chaos Mesh / Litmus / custom solutions), familiar with CRD / Operator development Proficient in at least one backend language (Go preferred), with platform-level system architecture design capability Deep understanding of distributed system failure modes (network partitions, split-brain, cascading failures, data inconsistency, etc.) Familiarity with observability tech stack (Prometheus / Grafana / Thanos / OpenTelemetry) Excellent technical documentation and solution design skills Nice-to-Have: Experience in financial / trading system stability (understanding of transaction consistency and fund safety constraints) Experience building SLO / Error Budget frameworks Experience building automated fault recovery (self-healing) systems Familiarity with AWS infrastructure (EC2 / EKS / Multi-AZ / Multi-Region) Knowledge of Netflix Chaos Engineering / AWS Fault Injection Simulator / Gremlin Open-source community contributions (Chaos Mesh / Litmus or similar projects) Soft Skills: Ability to balance "safety" and "validation depth" — not afraid of production injection, while maintaining strict risk control Strong cross-team collaboration and influence — chaos engineering requires buy-in from business teams; this role demands persuasion skills Self-driven, capable of independently planning and executing in ambiguous situations Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Location: Hong Kong SAR 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. Core Responsibilities Chaos Engineering Platform Architecture & Development (50%) Design and build an enterprise-grade chaos engineering platform supporting multi-cluster (K8s + EC2 hybrid), multi-region, and multi-environment (testnet/mainnet) deployments Core capability development: Fault Injection Engine: Pod-level / Node-level / AZ-level fault simulation, network latency / packet loss / partition, dependency timeout / error injection Production Safety Assurance: Blast radius control, one-click Kill Switch, automatic rollback, real-time impact monitoring Traffic Isolation: Experiment traffic tagging and isolation to ensure fault injection does not impact real users Fault Isolation: Precise impact scoping at service / cluster / AZ granularity Design experiment orchestration capabilities supporting complex fault scenario composition (e.g., simultaneous network latency + downstream timeout + cache invalidation) Deep integration with existing monitoring, alerting, and SLO systems to achieve an automated closed loop: inject fault → observe impact → determine pass/fail Production Resilience Validation Framework (30%) Define safety standards and approval workflows for mainnet fault injection Design and drive routine chaos experiments: Daily patrol-level experiments: Low-risk experiments executed automatically on a daily/weekly basis Periodic validation experiments: Monthly/quarterly resilience verification of critical paths Large-scale drills: Cross-AZ / cross-region disaster recovery failover validation Establish a resilience scoring system to quantify system health based on experiment results Deliver improvement recommendations and drive business teams to remediate identified weaknesses 3. Technology Selection & Team Enablement (20%) Evaluate and select the technology foundation (Chaos Mesh / Litmus / custom components — hybrid strategy) Develop chaos engineering best practices and playbooks to enable SRE teams and application developers Mentor and grow the team (2–3 engineers) in chaos engineering capabilities Stay current with industry developments and introduce cutting-edge practices (e.g., AI-driven fault scenario discovery) ────── Requirements Must-Have: 8+ years of backend / infrastructure engineering experience, with 3+ years dedicated to chaos engineering or stability engineering Hands-on experience with large-scale fault injection in production environments (not just test environments), with deep understanding of production safety constraints Expert-level proficiency in Kubernetes fault injection (Chaos Mesh / Litmus / custom solutions), familiar with CRD / Operator development Proficient in at least one backend language (Go preferred), with platform-level system architecture design capability Deep understanding of distributed system failure modes (network partitions, split-brain, cascading failures, data inconsistency, etc.) Familiarity with observability tech stack (Prometheus / Grafana / Thanos / OpenTelemetry) Excellent technical documentation and solution design skills Nice-to-Have: Experience in financial / trading system stability (understanding of transaction consistency and fund safety constraints) Experience building SLO / Error Budget frameworks Experience building automated fault recovery (self-healing) systems Familiarity with AWS infrastructure (EC2 / EKS / Multi-AZ / Multi-Region) Knowledge of Netflix Chaos Engineering / AWS Fault Injection Simulator / Gremlin Open-source community contributions (Chaos Mesh / Litmus or similar projects) Soft Skills: Ability to balance "safety" and "validation depth" — not afraid of production injection, while maintaining strict risk control Strong cross-team collaboration and influence — chaos engineering requires buy-in from business teams; this role demands persuasion skills Self-driven, capable of independently planning and executing in ambiguous situations Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Location: USA Workplace: Remote We are looking for doctors and medical experts to join our growing community of experts who are available to be matched on an on-going basis to new innovative AI projects with the world's leading AI labs and companies that are bringing to life AI in healthcare.   Your medical expertise will shape the way AI understands and processes real-world clinical interactions, workflows, consultations including the delivery of care with software that directly impacts both healthcare professionals and patients.   These projects are flexible, fully remote and ideal for clinicians who want to work on shaping the future of AI in healthcare alongside their existing professional or academic commitments.   ABOUT MENTIS AI   At Mentis AI, we’re building the next generation of AI systems grounded in real-world clinical expertise. As a clinical expert, you’ll gain hands-on exposure to cutting-edge AI model development, working side-by-side with senior AI researchers and clinicians to translate your medical knowledge into industry-ready clinical solutions to advance healthcare.   HOW IT WORKS   Once we have a new project, you will be automatically screened and matched to assess if you are a suitable fit. If shortlisted, we will then invite you to take a skills test (~10-30mins) and if required will also conduct an interview.   We are looking to match you based on your skillset, expertise, grade and speciality to make sure it's the right fit for the project!   If successful, you will be onboarded onto the platform and can start getting involved in a diverse range of tasks that vary from labelling clinical notes, summarising medical records, annotating images to reviewing and evaluating the performance of AI Models/LLMs.   The rapid rise of AI in healthcare means there are so many new and exciting ways to train, review and improve the deployment of AI in healthcare, which you will directly have an impact upon.   KEY RESPONSIBILITIES   - Data labeling and curation: Review clinical notes, audio, videos and other modalities, identifying relations and reasoning steps per guidelines. - LLM and model evaluations: Run structured evals (human-in-the-loop) to assess accuracy, safety, clinical relevance and clinical reasoning of models. - Prompting and prompt-engineering: Design, test, and iterate prompts to improve performance and reliability. - Fine-tuning support: Create high-quality instructions/responses and explore edge-case datasets to enhance models. - Feedback and error analysis: Identify critical/failure points, propose strategies to help mediate and document findings. - Scoring/Rubrics frameworks: Develop and refine scoring rubrics for quality assurance (e.g., accuracy, clarity, safety, completeness, guideline adherence). - Guideline refinement: Collaborate with researchers to improve annotation standards, acceptance criteria, and evaluation protocols.   ESSENTIAL REQUIREMENTS   - Doctor based in the US with active license to practice. - Native or near-native fluency in English (spoken and written). - Good understanding of clinical terminology, tools and workflows. - Excellent summarisation and written communication skills. - Strong attention to detail and commitment to clinical accuracy. - Comfortable working independently in an asynchronous environment.   WHAT WE OFFER   - Remote work - Asynchronous and flexible scheduling, allowing you to balance work with clinical practice or studies. - Competitive compensation based on experience. - The opportunity to influence and enhance AI tools that serve healthcare professionals. - Experience working at the intersection of medicine and AI, helping shape the future of healthcare. - Opportunity to collaborate with clinicians and AI researchers to deepen your own clinical acumen and professional expertise in AI within healthcare.

Location: London; United Kingdom Workplace: Remote We are looking for doctors to join our growing community of experts who are available to be matched on an on-going basis to new innovative AI projects with the world's leading AI labs and companies that are bringing to life AI in healthcare. Your medical expertise will shape the way AI understands and processes real-world clinical interactions, workflows, consultations including the delivery of care with software that directly impacts both healthcare professionals and patients. These projects are flexible, fully remote and ideal for clinicians who want to work on shaping the future of AI in healthcare alongside their existing professional or academic commitments. ABOUT MENTIS AI At Mentis AI, we’re building the next generation of AI systems grounded in real-world clinical expertise. As a clinical expert, you’ll gain hands-on exposure to cutting-edge AI model development, working side-by-side with senior AI researchers and clinicians to translate your medical knowledge into industry-ready clinical solutions to advance healthcare. HOW IT WORKS Once we have a new project, you will be automatically screened and matched to assess if you are a suitable fit. If shortlisted, we will then invite you to take a skills test (~10-30mins) and if required will also conduct an interview. We are looking to match you based on your skillset, expertise, grade and speciality to make sure it's the right fit for the project! If successful, you will be onboarded onto the platform and can start getting involved in a diverse range of tasks that vary from labelling clinical notes, summarising medical records, annotating images to reviewing and evaluating the performance of AI Models/LLMs. The rapid rise of AI in healthcare means there are so many new and exciting ways to train, review and improve the deployment of AI in healthcare, which you will directly have an impact upon. KEY RESPONSIBILITIES - Data labeling and curation: Review clinical notes, audio, videos and other modalities, identifying relations and reasoning steps per guidelines. - LLM and model evaluations: Run structured evals (human-in-the-loop) to assess accuracy, safety, clinical relevance and clinical reasoning of models. - Prompting and prompt-engineering: Design, test, and iterate prompts to improve performance and reliability. - Fine-tuning support: Create high-quality instructions/responses and explore edge-case datasets to enhance models. - Feedback and error analysis: Identify critical/failure points, propose strategies to help mediate and document findings. - Scoring/Rubrics frameworks: Develop and refine scoring rubrics for quality assurance (e.g., accuracy, clarity, safety, completeness, guideline adherence). - Guideline refinement: Collaborate with researchers to improve annotation standards, acceptance criteria, and evaluation protocols. ESSENTIAL REQUIREMENTS - Doctor based in the UK with an active GMC license. - Native or near-native fluency in English (spoken and written). - Good understanding of clinical terminology, tools and workflows. - Excellent summarisation and written communication skills. - Strong attention to detail and commitment to clinical accuracy. - Comfortable working independently in an asynchronous environment. WHAT WE OFFER - Remote work - Asynchronous and flexible scheduling, allowing you to balance work with clinical practice or studies. - Competitive compensation based on experience. - The opportunity to influence and enhance AI tools that serve healthcare professionals. - Experience working at the intersection of medicine and AI, helping shape the future of healthcare. - Opportunity to collaborate with clinicians and AI researchers to deepen your own clinical acumen and professional expertise in AI within healthcare.

Location: Hong Kong Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT : You will contribute to the efficiency of the technical environment of research. You will build and operate internal tools and services used by researchers across the firm. You will work directly with researchers to understand their workflows, identify recurring pain points, and turn them into better tooling, automation, documentation, or platform improvements. Build backend services, APIs, automation scripts, dashboards, and lightweight web applications Deploy and operate internal applications using cloud, containers, and CI/CD Improve onboarding, documentation, self-service workflows, and internal knowledge sharing Troubleshoot issues across applications, infrastructure, user environments, and integrations Work with engineering teams to improve adoption, usability, ownership, and supportability of internal platforms Contribute to secure, maintainable, observable, and scalable internal systems Your current skillset : Strong software engineering skills, preferably in Python Experience building internal tools, APIs, automation, or web applications Experience with AI-assisted and agentic software development tools Familiarity with cloud environments, containers, deployment workflows, and CI/CD Ability to debug technical issues across several layers of a system Clear written and verbal communication skills Ability to work with technical and non-technical stakeholders Pragmatic approach to problem solving, with a focus on useful outcomes Strong user-centric mindset, with the ability to understand user workflows, constraints, and pain points in depth Curiosity and willingness to learn unfamiliar tools, systems, and domains Strong interpersonal skills, with the ability to build trust, credibility, and strong working relationships with researchers QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: Amsterdam, Netherlands; London, United Kingdom; Remote - Europe; Zurich, Switzerland 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. We are seeking a Staff Applied AI Researcher to join a fast-growing team building an agent-native search platform - the web access layer for AI systems. You can think of this as Google search, but for AI agents: a system designed for machines, not humans. We are building agentic search, where AI systems actively plan, retrieve, evaluate, and refine information rather than simply returning results. As AI becomes the primary interface to the web, this layer will replace the role of traditional search engines. We are designing these systems to search and reason over web data in real time, under strict latency and reliability constraints. This means solving retrieval, ranking and passage extraction under entirely new access patterns and at significant scale, with systems operating over constantly changing, unstructured data and serving tens of thousands of production workloads 24/7. This role comes with ownership over key parts of our applied AI research direction and system design, with a strong expectation of defining new approaches and shipping measurable impact in production. In the first year, you will own a specific part of the search stack, e.g. ranking or iterative retrieval. What you'll work on: Designing an agent-native search system that handles everything from low-latency single-hop search to complex deep search tasks requiring iterative planning, querying, refinement and reasoning. Training ranking and retrieval models optimized for agent-driven workflows under real world constraints Bringing the latest advances from the research community to our search stack and ship it to production. Your responsibilities: Drive applied research and technical direction across retrieval and ranking systems Design and evolve multi-stage retrieval architectures (query understanding, rewriting, retrieval, reranking and iterative retrieval) Lead experimentation on modern retrieval approaches (embedding research, sparse and hybrid retrieval, reranking, context compression) and bring them into production Develop methods for grounding LLMs in real-time web data at scale, using trust, quality and freshness signals to surface reliable sources Partner with the evaluation team to define new metrics for agentic systems, where correctness is not reducible to clicks Analyze trade-offs across relevance, latency, and cost, and work closely with engineering to deploy systems that operate at web scale Mentor researchers and engineers and help raise the technical bar of the team Must haves: 8+ years of experience in applied AI, ML, or software engineering Proven track record of shipping ML or AI systems to production at scale Deep experience with search, retrieval, ranking or building RAG-based assistants Strong understanding of modern deep learning, especially transformers and embeddings Experience with LLM-integrated or knowledge-intensive systems Experience designing evaluation frameworks and metrics for ML systems Strong programming skills in Python Top-tier publications ( ICLR , ICML , NeurIPS, AAAI , EMNLP , ACL ) Ability to operate in a fast-moving, product-driven environment with high ownership and autonomy Nice to haves Background in agentic AI systems (agents, tool use, autonomous workflows) Experience with RL post-training of LLMs or VLMs 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.