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Location: 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: As Notion’s product surface expands, we need a builder-teacher who can turn new capabilities into technically accurate education that helps customers confidently build with Notion. In this role, you’ll explore Notion’s newest capabilities, teach by showing, and ship as the product evolves. You’ll be the technical face of Notion Academy: leading workshops, recording walkthroughs, and building implementation guides.   This role is based in 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: - Expand Notion’s technical education library. Author technically rigorous Academy content, implementation guides, and Help Center resources that make our most complex capabilities easier to understand and adopt. - Become a trusted voice for Notion Academy. Teach customers through video, live webinars, and workshops, demonstrating real workflows and solving problems in real time. - Build with Notion’s newest capabilities. Get hands-on with new product features, use customer insights to identify high-value use cases, and determine top priority workflows for education to focus on. - Reimagine learning with AI. Experiment with adaptive, contextual learning experiences that respond to what customers are trying to build and where they need help. - Prove and scale the impact of technical education. Use product adoption signals to measure impact and improve what we teach, then build reusable standards to help the team deliver effective technical learning faster. SKILLS YOU'LL NEED TO BRING: - Builder mindset: You learn new product features by getting hands-on, experimenting, and building until you understand. - Comfort navigating technical content: you don’t need to write code, but you can read a technical architecture doc, identify what’s outdated, and work with engineers to fix it. - Customer-facing credibility: You’re comfortable teaching, building, and troubleshooting in front of customers. - AI experimentation: You actively use AI to build, learn, and teach technical proficiency. - Product expertise: You can quickly understand a new feature, identify where it creates meaningful customer value, and turn that into practical use cases. NICE TO HAVES: - Notion product expertise - Experience in a customer-facing technical role, such as solutions architecture, sales engineering, developer relations, or technical enablement 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 New York City, the estimated base salary range for this role is $135,000 - $180,000 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: Paris ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As an Applied AI Engineer, your mission is to make Mistral AI-native from the inside. You lead the design and delivery of production-grade AI systems in rapid cycles, building the iconic use case for multiple department (eg: GTM, HR, Engineering, Finance, ect) in your portfolio. You sit where product, engineering and the business overlap, turning advanced technology into real-world solutions that move a metric. You translate complex, often ambiguous business requirements into engineered solutions that work at scale. You act as the technical lead for your departments and contribute as an Individual contributor you guide the technical choices, build the solution end to end, drive adoption, and keep improving it. Your goal is to build clients trust, and deliver high ROI solutions, not a hit-and-run POC. WHAT YOU WILL DO - Run discovery with department heads and key users, map their workflows, and turn ambiguous needs into a prioritized use-case backlog with clear expected value. - Deliver end to end: design and ship production-grade full-stack apps (Python/FastAPI, React) and AI systems, from scoping through deployment and adoption. - Encode business rules, KPIs and ROI metrics as durable datalake assets and app logic, so your departments run on trustworthy, observable data. - Dogfood the latest Mistral products as a first internal user, and turn what you learn into credible product feedback that shapes the roadmap. - Own architecture for your surface: keep it scalable, secure and observable, with a high bar on clean code. - Spot patterns across departments and lift one-off solutions into reusable building blocks. WHAT WE'RE LOOKING FOR - At least 3 years building and deploying production AI software. - Strong full-stack engineer: Python/TypeScript, scalable backends (FastAPI/Node), and enough frontend (React/Vue) to ship a usable app yourself. - Hands-on with modern GenAI use cases: RAG, agents, workflows, orchestration and evaluation. - Strong command of vibe-coding tools, paired with genuine care for clean code and architecture: speed without slop. - Strong ownership and a bias for delivery. This is made for high-velocity engineers who already have experience. - Fluent in AI-native tools (Slack, Linear, etc.). - Passionate about solving customer problems. Here, your customers are Mistral's own teams. - Excellent communication in fluent English: you can explain a technical idea to a lawyer, a marketer and a staff engineer in the same afternoon. NICE TO HAVE - Exposure to Legal, Public Affairs, Marketing or Compute/Infra domains, or a track record of getting fluent in an unfamiliar domain fast. - Data engineering or analytics experience (warehouse modeling, dbt, dashboards). - Contributions to open-source projects, especially around LLMs. - A builder's instinct for internal tooling and platform reuse. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Toronto, Ontario Workplace: Hybrid Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. 🚀 THE ADVENTURE AHEAD Step into the center of enterprise innovation as you shape the future of how global teams plan, coordinate, and deliver high-impact training! In this role, you’ll tackle complex, ambiguous operational challenges at the intersection of Instructor-Led Training (ILT) and Training Management Systems (TMS) to make training operations seamless for millions. You will have total ownership over end-to-end user journeys, connecting scheduling, approvals, resource tracking, and AI-driven workflows into one beautifully cohesive product experience. If you are eager to turn dense, administrative friction into elegant, high-impact enterprise software, your next big career adventure starts right here! 🛠️ THE DAY-TO-DAY - Frame the Unframable: Turn complex, ambiguous inputs into razor-sharp problem statements, clear workflow maps, and testable design hypotheses. - Connect Ecosystem Workflows: Craft seamless end-to-end interactions across training requests, resource allocations, manager approvals, instructor scheduling, and real-time operations. - Design Complete States: Bring high-caliber interaction design and visual craft to complex planning interfaces, capacity checks, conflict alerts, and recovery paths. - Incorporate Smart AI Assistance: Design trustworthy, intelligent scheduling assistance, conflict detection, and operational summaries that put humans in control. - Prototype and Iterate: Test realistic workflow states and platform behavior quickly using Figma, AI-assisted tools, or light code to de-risk technical feasibility early. - Champion System Alignment: Partner closely with Product, Engineering, and Design System teams to extend reusable primitives, preserve API boundaries, and maintain accessibility. ⚡ YOUR SUPERPOWERS - End-to-End Ownership: Proven track record leading complex, multi-stakeholder product workflows in B2B SaaS, enterprise administration, scheduling, or operations platforms. - Visual & Interaction Mastery: Exceptional capability in organizing dense information into clear hierarchies, responsive states, and polished visual designs. - Systems & Platform Thinking: Ability to design within mature systems, navigate API constraints, and contribute back reusable workflow patterns to our design system. - Evidence-Driven Approach: Deep proficiency in pairing qualitative research and product analytics with technical trade-offs to inform your design decisions. - AI-Assisted Innovation: Skillful use of AI tools for prototyping, research synthesis, design QA, and exploring smart automation user experiences. - Collaborative Influence: Strong communication and facilitation skills to align Product, Engineering, and leadership around clear, impactful product paths. 🎁 BONUS POINTS - Domain Experience: Background in enterprise resource planning, scheduling systems, workforce management, LMS, or HR technology. - Technical Curiosity: Hands-on prototyping experience with data-heavy solver tools, script-assisted workflows, or code-based experiments. 📋 OUR INTERVIEW PROCESS Step 1: We’ll kick things off with a 30-minute video call with a member of our Talent team. We’ll get to know you, share more about the role and team, and make sure we’re aligned. Step 2: A 45–60-minute conversation with the hiring manager focused on your experience, approach, and what excites you most about this opportunity. Step 3: A 60-minute portfolio deep dive and collaborative case discussion focused on complex operational workflows, platform constraints, interaction and visual decisions, evidence, and measurable learning or impact. Step 4: A final conversation focused on product-area influence, mentorship, values alignment, and cross-functional decision making OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing. OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul. OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long. ABOUT DOCEBO 💙 At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world. Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities. Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.

Location: New York, New York, United States Artificial Intelligence Engineer - Vice President Department: Software Engineering About the Role iCapital is seeking a Vice President Artificial Intelligence Engineer to lead the design, development, and delivery of production-grade AI systems that drive measurable business outcomes across the firm. This individual will own key workstreams and serve as a technical leader, driving system design, mentoring engineers, partnering directly with business stakeholders, and ensuring that AI capabilities are built to production-grade standards of reliability, scalability, and measurability. The ideal candidate is a seasoned engineer with a track record of shipping complex AI systems end-to-end and someone who combines deep technical expertise with strong cross-functional partnership, architectural judgment, and able to operate as a force multiplier for the team. This role is expected to bring independent judgment on a technical approach, a bias toward delivery, and able to translate ambiguous business needs into well-scoped, well-executed solutions. Responsibilities Lead the architecture and delivery of production AI systems, including document intelligence (IDP), intelligent knowledge systems, agentic orchestration, conversational AI, and generative AI applications, to power internal and external business processes, digital experiences, and workflow automation at scale. Own AI projects end-to-end, from problem scoping and stakeholder alignment through solution design, implementation, deployment, monitoring, and continuous improvement, delivering tangible business outcomes with a track record of consistent, high-quality delivery. Drive technical design and architectural decisions for the team, including API design, system decomposition, evaluation strategy, and infrastructure patterns, establishing standards that raise the quality bar across the AI/ML platform. Architect and champion robust evaluation frameworks for AI systems, defining statistically sound, problem-specific metrics, curating benchmark datasets, and enforcing strict versioning to ensure reproducibility and continuous improvement. Partner directly with cross-functional stakeholders, including the Product, Operations, Legal, and Business teams, to identify AI opportunities, translate requirements into technical plans, and communicate tradeoffs, risks, and recommendations clearly. Mentor and develop engineers on the team through code review, design review, pair problem-solving, and knowledge sharing, acting as a technical role model and raising the overall capability of the group. Identify systemic problems and propose solutions, proactively improving team processes, tooling, and infrastructure to reduce technical debt and increase development velocity. Qualifications 7+ years of experience developing and deploying production AI/ML systems, including cloud-native solutions on AWS or similar platforms, with a proven track record of delivering complex applications from design through production Strong proficiency in Python and software engineering best practices, including source control, CI/CD, testing, documentation, and the development of scalable, maintainable software Deep expertise building production AI solutions, including LLM applications, AI agents, retrieval-augmented generation (RAG), conversational AI, document intelligence, and agentic workflows, with hands-on experience using modern AI frameworks, tooling, and protocols such as MCP and A2A Experience designing, deploying, and operating end-to-end machine learning pipelines, including model training, deployment, monitoring, evaluation, and continuous improvement in production environments Strong foundation in statistics, experimentation, data quality, and AI system evaluation, with experience developing benchmarks, defining performance metrics, analyzing errors, and optimizing systems for accuracy, reliability, scalability, cost, and latency Experience leading technical design and architectural decisions, conducting code and design reviews, mentoring engineers, and driving engineering excellence across teams Excellent written and verbal communication skills, with the ability to document technical solutions, collaborate with cross-functional stakeholders, and communicate complex concepts to both technical and non-technical audiences Experience spanning multiple AI domains, including LLM systems, document intelligence, and ML platforms or infrastructure Experience in financial services or FinTech, particularly within document-heavy, regulated, or compliance-sensitive environments is preferred Contributions to open-source projects, technical publications, conference presentations, patents, or other demonstrated thought leadership in applied AI and machine learning is preferred Benefits The base salary range for this role is $170,000 to $210,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: New York, New York, United States Artificial Intelligence Engineer - Assistant Vice President About the Role iCapital is seeking an Assistant Vice President Artificial Intelligence Engineer to design, develop, and deliver production-grade AI systems that drive measurable business outcomes across the firm. This role is expected to bring sound judgment on technical approach, a bias toward delivery, and able to translate ambiguous business needs into well-scoped, well-executed solutions. The ideal candidate is an experienced, hands-on engineer with a track record of shipping complex AI systems end-to-end and someone who combines deep technical expertise with strong cross-functional partnership, architectural judgment, and able to operate as a force multiplier for the team. This individual will own AI projects and defined workstreams, contribute to system design and technical decisions, partnering directly with business stakeholders, and ensuring that AI capabilities are built to production-grade standards of reliability, scalability, and measurability. Responsibilities Design and deliver production AI systems, including document intelligence (IDP), intelligent knowledge systems, agentic orchestration, conversational AI, and generative AI applications, to power internal and external business processes, digital experiences, and workflow automation at scale. Own AI projects end-to-end, from problem scoping and stakeholder alignment through solution design, implementation, deployment, monitoring, and continuous improvement, delivering tangible business outcomes with a track record of consistent, high-quality delivery. Contribute to technical design and architectural decisions for the team, including API design, system decomposition, evaluation strategy, and infrastructure patterns, following and contributing to team engineering standards across the AI/ML platform. Develop and apply robust evaluation frameworks for AI systems, defining statistically sound, problem-specific metrics, curating benchmark datasets, and enforcing strict versioning to ensure reproducibility and continuous improvement. Partner directly with cross-functional stakeholders, including the Product, Operations, Legal, and Business teams, to identify AI opportunities, translate requirements into technical plans, and communicate tradeoffs, risks, and recommendations clearly. Support and mentor junior engineers on the team through code review, design review, pair problem-solving, and knowledge sharing, acting as a technical role model and raising the overall capability of the group. Identify systemic problems and propose solutions, proactively improving team processes, tooling, and infrastructure to reduce technical debt and increase development velocity. Qualifications 5+ years of experience developing and deploying production AI/ML systems, including cloud-native solutions on AWS or similar platforms, with a proven track record of delivering complex applications from design through production Strong proficiency in Python and software engineering best practices, including source control, CI/CD, testing, documentation, and the development of scalable, maintainable software Deep expertise building production AI solutions, including LLM applications, AI agents, retrieval-augmented generation (RAG), conversational AI, document intelligence, and agentic workflows, with hands-on experience using modern AI frameworks and tooling Experience designing, deploying, and operating end-to-end machine learning pipelines, including model training, deployment, monitoring, evaluation, and continuous improvement in production environments Strong foundation in statistics, experimentation, data quality, and AI system evaluation, with experience developing benchmarks, defining performance metrics, analyzing errors, and optimizing systems for accuracy, reliability, scalability, cost, and latency Experience contributing to technical architecture and design discussions, conducting code and design reviews, and mentoring or supporting the growth of other engineers Excellent written and verbal communication skills, with the ability to document technical solutions, partner effectively with cross-functional stakeholders, and communicate complex concepts to both technical and non-technical audiences Experience in financial services or FinTech, particularly within document-heavy, regulated, or compliance-sensitive environments is preferred Contributions to open-source projects, technical publications, conference presentations, patents, or other demonstrated thought leadership in applied AI and machine learning is preferred Benefits The base salary range for this role is $120,000 to $170,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: United States Mattermost is the leading collaborative workflow platform for defense, intelligence, security, and critical infrastructure. Trusted by the U.S. Department of War and Fortune 500s, our platform runs on-premises and in private clouds, delivering secure messaging, file sharing, workflow automation, audio/screenshare, and project management—all with full data and operational control. Mattermost powers high-stakes workflows across mission planning, real-time, real-world operations, DevSecOps, incident response, and cyber defense—enabling secure collaboration from tactical edge and DDIL environments to enterprise HQ. Teams operate across web, desktop, and mobile, with embedded interoperability for Microsoft Teams, Outlook, and Microsoft 365. To learn more, visit www.mattermost.com We are seeking a Senior Mobile Engineer to take ownership of the Mattermost mobile experience for teams working in defense, intelligence, and critical infrastructure. Our users operate in DDIL environments where connectivity may be disconnected, denied, intermittent, or limited, security is non-negotiable, and the software they depend on has to keep working. Our mobile app is primarily React Native and TypeScript today, with native iOS and Android integrations. Your immediate focus will be making that experience more reliable and performant. Over time, you'll also help shape the next generation of our cross-platform mobile architecture. You'll work hands-on across application and native layers, partner closely with platform and feature teams, work directly with customer-facing teams on field reports from constrained environments, and help raise the bar for how we observe, diagnose, and build mobile software. Responsibilities Reliability and Performance Architect the app for DDIL and other constrained network environments Improve data and functional reliability across connection lifecycle, synchronization, recovery, and failure scenarios Own crash-free and release-health outcomes, using telemetry to proactively identify regressions and drive them through diagnosis to resolution Profile and improve performance across startup, networking, storage, rendering, memory, and battery usage Mobile Platform Ownership Own critical iOS and Android integrations and the boundaries between native and cross-platform code Maintain and evolve platform capabilities including push notifications, background execution, secure storage, app lifecycle, and real-time communications Build within mobile distribution and device-management constraints, including App Store, enterprise and MDM deployment, AppConfig, and Intune MAM Diagnose production issues from native traces, telemetry, device profiling, and sparse field logs Make architecture recommendations that balance near-term delivery with the long-term direction of the mobile platform Craft and Delivery Mentor engineers on mobile architecture, reliability, performance, and platform best practices Uphold security and compliance standards required by government and enterprise customers Contribute to the open-source codebase Use AI coding tools effectively, applying strong engineering judgment to increase output without compromising reliability or quality What We Are Looking For We care about what you've built and the problems you've solved — not how long you've been building. If you have strong outcomes to speak to in mobile engineering, we want to hear from you. Required: Deep expertise in iOS or Android development, with strong working knowledge of the other platform Strong understanding of mobile architecture, platform SDKs, lifecycle constraints, and networking fundamentals Experience building reliable mobile systems that behave predictably through unreliable connectivity, local state changes, synchronization, and recovery Strong mobile performance profiling and production debugging skills on real devices Experience using production data, crash metrics, and release-health signals to drive reliability improvements Experience making architecture recommendations and owning technical outcomes Ability and willingness to work across native and cross-platform codebases AI fluency and experience using coding agents to increase engineering output while applying judgment to ensure reliable outcomes Preferred: Experience with React Native and TypeScript Experience with mobile persistence, synchronization, or offline-capable systems Experience with real-time communications or platform media frameworks such as WebRTC, CallKit, or Android audio APIs Experience with enterprise mobile distribution, MDM, AppConfig, or Intune MAM Experience building mobile software for security-sensitive, regulated, or operationally constrained environments Open-source contributions Why Mattermost Mission-driven work: Your contributions directly support the organizations and missions that depend on secure, reliable collaboration including the U.S. Department of War and critical infrastructure operators worldwide Remote-first culture: Work from anywhere with a globally distributed, high-trust team built for autonomy and ownership AI-forward environment: We actively adopt and build AI-enabled workflows. Agentic development is core craft here, not a novelty End-to-end ownership: Ship and own complex software across the full stack with real accountability for what you build Open source at the core: Be part of a vibrant developer community shaping the future of secure collaboration Target Salary Range: $165,000 – $215,000 Mattermost takes a market-based approach to pay and pay may vary depending on your location. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. Mattermost offers a remote-first work environment with medical, dental, and vision coverage. You’ll also receive unlimited PTO plus company holidays, a work from home stipend, an annual learning and development budget for conferences, certifications, and courses, paid parental leave for all parents, and a 401(k) plan. U.S. Eligibility & Compliance This role may require obtaining and maintaining a U.S. government security clearance. Candidates must meet federal eligibility requirements to be considered. Applicants must meet eligibility requirements for access to export-controlled information as defined by U.S. export control laws, including EAR and ITAR. For more information visit the Bureau of Industry and Security and the Directorate of Defense Trade Controls . Mattermost is an EEO Employer, we are a remote-first, open-source company. We are continually working to expand our hiring in more countries and regions, ensuring compliance with local laws and regulations, which takes time. Mattermost values your unique perspective—we welcome all applicants. We encourage individuals from all backgrounds to apply and are committed to assessing candidates based on their skills and qualifications. We do not tolerate discrimination against staff or applicants based on race, religion, national origin, age, disability, pregnancy status, veteran status, or other personal characteristics. If you require accommodations during the interview process, please let us know—we’re happy to assist.

Location: United States, San Diego, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Why PlayStation? Why San Diego Studio? We are the team behind MLB The Show, a critically acclaimed AAA sports franchise developed for PlayStation, Xbox, and Nintendo platforms. Our focus is on delivering innovative, high-quality gaming experiences – and we’re looking for a Sr Programmer to help build, package, and ship the game on every platform we support. The ideal candidate possesses strong problem-solving abilities, sharp attention to detail, and thrives both independently and in collaborative, cross-functional teams. They are a versatile generalist who is as comfortable owning a build and data-packaging pipeline as they are bringing the engine up on new hardware or diving into low-level systems to track down a crash or reclaim memory. They enjoy the planning side of the work: scoping infrastructure changes, sequencing a platform or SDK migration so the team is never blocked, and modernizing tools and systems that have grown over many years. Not only does this person have a strong understanding of how large codebases are built, shipped, and maintained, they are also comfortable with the system-level aspects of the target hardware they’re working on when transitioning to new platforms. Key Responsibilities: • Develop, optimize, and maintain the cross-platform build and data-packaging pipeline that turns our game into shippable products across all our supported platforms, current and future. • Bring the engine up on new platforms and drive platform SDK upgrades, resolving the low-level and system-level issues that come with them (toolchains, file systems, memory and address-space behavior, boot and packaging requirements). • Identify and resolve crashes, out-of-memory conditions, and stability issues across a broad range of hardware, from high-end consoles to memory-constrained mobile devices. • Build, package, harden, and release our mobile (Android and iOS) products, and keep the associated build automation healthy. • Own and evolve the studio’s internal tools – data packaging, memory tracking, metrics and profiling – that the wider team relies on every day. • Plan and lead the modernization of long-lived build systems, toolchains, and infrastructure. • Manage branch integration and keep builds flowing across mainline, staging, production, and patch branches in collaboration with engineering, QA, and production teams. Required Qualifications : • Bachelor’s degree in computer science, mathematics, or a related technical field or equivalent. • 5+ years of experience programming in C++ with a focus on performance-critical and system level application. • Strong experience with development and release of one or more AAA titles. • Demonstrated ability to work effectively across many unfamiliar systems rather than within a single specialty. • Strong debugging and problem-solving skills on hard, intermittent, and low-level issues (memory management, crashes, toolchain and SDK behavior). • Experience with build systems, packaging and deployment pipelines, and build automation (e.g. Jenkins, MSBuild, gradle, and shell/batch scripting). • Comfort at a low level: memory management, pointers and address spaces, compiler and linker flags, and optimization behavior. • Hands-on experience with Visual Studio, Perforce, and other standard development tools. • Working proficiency in C# for tools and pipeline development. Preferred Qualifications : • Experience developing and shipping on console platforms (PlayStation, Xbox, and/or Nintendo Switch), including platform SDKs and certification/packaging requirements. • Experience shipping mobile titles (Android/iOS): NDK, app-bundle and store submission, code obfuscation and app hardening, and crash reporting. • Experience developing internal developer tools with graphical front-ends (e.g. C#/WinForms). • Familiarity with scripting languages like Python is a plus. • Exposure to graphics/rendering concepts, in particular how rendering features fit within platform memory and performance budgets (desired but not required). At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $138,700 — $208,100 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Remote, Canada; Remote, Poland; Remote, United Kingdom; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. About the role We are looking for a Principal Engineer to help build GitLab Duo Agent Platform, the agentic orchestration layer that runs AI agents and flows across the entire software lifecycle. Principal Engineers at GitLab are recognized experts across multiple technology domains and represent the senior technical leadership within their organization. In this role you will set technical direction for a significant part of the Agent Platform, working across several teams to turn agentic capabilities into something engineering organizations can actually depend on: predictable, observable, governable, and fast enough to sit in the critical path of real development work. The Agent Platform is not a single service. It spans agent execution and orchestration, flow definition and event-driven triggering, the AI Catalog through which customers discover and manage agents, model routing and evaluation, and the governance surface that decides which agents may act where and under whose identity. It runs on GitLab.com, GitLab Dedicated, and Self-Managed installations, including deployments that use self-hosted models to meet compliance requirements. You will work on the parts of that system where the hard architectural questions live, and you will do it hands-on. This role reports into the VP of the AI Engineering organization and works closely with Engineering Managers, Staff Engineers, Product Management, Infrastructure and Security. What you'll do Define the technical direction for a significant area of Duo Agent Platform across several teams, and partner with Engineering Managers and Product to turn it into a roadmap with a six-month horizon. Build the orchestration layer that makes agents and flows reliable: session lifecycle, tool invocation, context assembly, concurrency, retries, timeouts, and failure modes that degrade gracefully instead of stalling a developer's workflow. Hands on work on driving topics throughout the whole organisation from POC level, architecture to full implementation. Participate in Incident Management on-call rotation, to help meet availability goals for GitLab.com. Strong product builder and ownership mentality. Understanding of product strategy, technical strategy, delivering customer value and iteration towards a successful product Write clear, opinionated design documents, architecture narratives, and decision records that let other teams make aligned decisions. Ensure the architecture holds across multi-tenant GitLab.com, Dedicated, and Self-Managed deployments, including self-hosted model configurations, and respects data governance boundaries in each. Use the platform on our own work, find where it falls short of what we claim, and feed that back through improvements into the product. Mentor Staff and Senior Engineers, and raise the bar for experimentation rigor and cross-team collaboration. Work across the whole platform on different projects, features and teams. This reaches across: Design the extensibility surface so customers can build custom agents and flows, connect their own tools and internal systems, and bring external agents such as Claude Code and Codex into GitLab workflows without weakening the platform's guarantees. Drive down the cost and latency of agentic requests, and work with Product on how model selection, routing, and credit consumption behave as usage grows. Define the evaluation practice for the platform: offline benchmarks and online experiments that measure task completion, correctness, tool-call accuracy, latency, and cost per task, and that catch regressions before customers do. Build the governance and safety surface with Security and Compliance: policy-driven controls over which agents and models may run where, permission and identity semantics that align to existing roles and group structure, human-in-the-loop checkpoints, traceability of every flow session, and audit that stands up to enterprise review. Complete Interview Training and participate in hiring for the department as a technical interviewer or panel member. What you'll bring 8+ years of software engineering experience, including 3+ years at Staff, Principal level or equivalent senior technical leadership. Hands-on production experience building on large language models: agent loops, tool calling, context management, retrieval, prompt and model evaluation. Experience shipping this to real users, not only prototyping it. Strong background in distributed systems, including service decomposition, fault tolerance, observability, and operational resilience under multi-tenant load. A track record of defining evaluation frameworks and using benchmark and experiment results to make architecture decisions, rather than shipping on intuition. Experience designing human-in-the-loop controls, safety guardrails, and responsible AI practices for systems that act on a customer's behalf. Ability to drive alignment across Engineering, Product, Infrastructure, and Security on problems that start out ambiguous. Experience mentoring senior engineers and shaping technical direction across multiple teams without direct authority. Comfort working in one or more of Ruby, Go, Python, or TypeScript, and willingness to work across the stack the platform spans. Excellent written and asynchronous communication, and the ability to work effectively in a fully remote, globally distributed organization. About the team The AI engineering organisation is building the product and infrastructure that make GitLab an effective environment for running agents across the software development lifecycle. We’re distributed across the world and partner with teams throughout GitLab to help the GitLab Duo Agent Platform become the backbone of GitLab's AI features. You will report directly to the VP of Engineering for AI and especially work together with all the teams, the engineering management and other principal engineers in the AI department. This is an opportunity to lead a consequential group as AI changes how software is built. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $250,000 — $325,000 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Remote About us OpenZeppelin is the security standard onchain finance is built on. Founded in 2015, our mission is to accelerate the world's transition to an open financial system, built on open standards and secured by rigorous research. Our open-source Contract Libraries have facilitated over $35 trillion in onchain value and are used by 10 of the top 10 tokenized money market funds and 9 of the top 10 stablecoins by market cap. We combine AI-native security tooling with deep research and a decade of audit expertise to support leading institutions and crypto-native teams shaping the next generation of digital assets like DTCC, Fidelity, Coinbase, Uniswap, Aave, the Ethereum Foundation, and many more across the full secure development lifecycle. Please note: Always refer to OpenZeppelin's official job page for the most accurate information about our open roles, as we have seen multiple third party job sites posting inaccurate information. The Customer Success Team The Customer Success Team owns full project lifecycles and client deliveries end-to-end; keeping Security Research, Secure Development, Engineering, Sales, Solutions, Executive team and clients aligned on a shared plan throughout the entire delivery. Core responsibility of the Customer Success team is client satisfaction as well as supporting any renewal discussions and ongoing partnership. The type of deliveries span across the security services work (audits, reviews, applied research), smart contract library development, web3 tooling as well as marketing and developer relationship engagements. What you'll be doing Own the Engagement: Own the full lifecycle of strategic ecosystem accounts, from kickoff through delivery, renewal, and expansion. Serve as the primary point of contact and trusted advisor for each client. Drive Delivery: Lead client kickoffs, manage scope through a structured change-order process, oversee end-to-end audit delivery, coordinate quality review and publishing, and proactively escalate risks to internal leadership. Administer Program Governance: Operate the day-to-day governance framework for each engagement — RASCI matrices, workstream structures, and engagement models — and keep the program's working cadence and reporting metrics current. Maintain core program artifacts (milestone plans, scope/MVP definitions, RAID logs) as the definitive source of truth, and formulate executive-level status reports for client and internal leadership. Orchestrate Technical Delivery: Coordinate architecture and requirements sessions with client engineering teams and translate outcomes into actionable delivery milestones. Oversee delivery across audit and engineering teams — backlogs, sprints, and stage gates — to ensure high-quality, on-time releases, and provide formal go/no-go recommendations at key milestones. Manage technical dependencies including repository access, audit cycles, and vendor onboarding, collaborating with legal on contractual or SOW-related blockers. Coordinate Third-Party Infrastructure: Synchronize delivery timelines and technical specifications with third-party infrastructure providers and partners, supporting senior leadership in commercial and contractual decision-making where needed. Facilitate Dependency Mapping & Risk Management: Facilitate stakeholder coordination and dependency mapping across cross-functional teams, resolving operational blockers at the working level and escalating critical decisions to senior stakeholders. Maintain the program's risk and compliance register and drive a regular cadence for regulatory-readiness governance and mitigation. Build Account Intelligence: Maintain deep, current knowledge of each ecosystem's goals, tech stack, governance, roadmap, and funding landscape. Anticipate client needs and surface opportunities before they are asked for. Grow the Account: Partner with Sales, Secure Development, Security Services, and Growth to identify upsell opportunities, build compelling renewal narratives tied to value delivered, and contribute directly to the business unit's recurring revenue and subscription targets. Coordinate on target-state and go-to-market use cases, monitoring GTM execution and flagging slippage to program leadership. Engage Technically: Review codebases at a high level for estimation purposes, hold meaningful technical conversations with client engineering teams, and translate between the client's technical context and OpenZeppelin's delivery teams. Operate with Rigor: Monitor team performance against key delivery metrics including resource utilization, allocation, and on-time delivery. Use our internal tooling (GitHub, Notion, Slack, HubSpot, and our internal automation system) to streamline workflows and reduce operational overhead. Deliver Unreasonable Hospitality: Every interaction should exceed expectations. You set the standard for exceptional client care across all account touchpoints, and the judgment calls that AI tooling cannot replicate are yours to make. You have 5+ years of experience in Technical Program Management, Technical Account Management, Customer Success, Engagement Management, Solutions Architecture, or a closely related customer-facing technical role. Proven track record managing complex, multi-stakeholder technical delivery on time and within scope, and managing a book of business with renewal and expansion responsibility. Technical background sufficient to review code at a high level for estimation and to hold credible conversations about smart contract architecture. You do not need to write Solidity, but you should not be lost in a code review. Deep understanding of blockchain ecosystems, L1/L2 infrastructure, and the dynamics of open-source business models. Genuine passion for the space. Solidity or Rust reading proficiency, or hands-on cybersecurity experience. Exceptional relationship-building skills. Clients call you first because they want to, not because they have to. Strong commercial instincts: experience managing renewal cycles, negotiating change orders, and building account expansion narratives. Superb organization and the ability to manage multiple complex engagements concurrently across many stakeholders and time zones. Advanced English; excellent written and verbal communication. Comfortable presenting to a CTO and a CFO in the same meeting. Advanced knowledge of project management and collaboration tools including GitHub, Notion, Linear, Slack, and HubSpot. Comfort working in a fully remote, async-first, globally distributed environment. Nice to have Prior experience working directly with protocol teams, L2 ecosystems, or blockchain foundations. Familiarity with OpenZeppelin's product suite (Contracts, Open-Source Tools, Audits, AI Auditor). Project management certification (PMP, Scrum Master, or equivalent). Background in solutions consulting, technical pre-sales, or professional services delivery. Experience in a high-growth startup building processes from scratch. PMO or people management experience. Logistics: Our interview process takes place on Zoom and tends to consist of the following stages: Recruiter Call (30 minutes) Hiring Manager Call (30 minutes) Team Interview (30 minutes) Paid work test (up to 20 hours of paid work) Reference checks Benefits Meet your teammates at company gatherings around the world 😎 Enjoy the flexibility of fully remote work 🌎 Take the time you need with flexible time off 🏝 Grow your family with 8 weeks of paid leave for primary caregivers, 4 weeks for secondary caregivers, and a one-time $3,600 baby bonus 💙 Build your ideal home office with up to $500 in equipment support 🪑 Stay covered with medical insurance 🏥 Keep growing with learning and development opportunities 🧠 Get a monthly stipend for your preferred co-working space 💻 At OpenZeppelin , we are an equal opportunity employer and we value different perspectives. We are committed to building a diverse workforce. This includes but is not limited to gender, race, sexual orientation, religion, national origin and other characteristics that make each one of us unique. In this uniqueness, we find the most value. Come join us! Use of AI as part of the recruiting process As part of OpenZeppelin’s recruitment process, we may use automated tools, including artificial intelligence, to assist in reviewing applications and assessing candidate qualifications. These tools are used to support our People team by identifying relevant skills and experience, and are not used to make decisions solely by automated means. All hiring decisions involve human review. Any personal data provided as part of your application will be processed in accordance with OpenZeppelin’s Data Privacy Notice . If you have questions about this recruitment process or would like to request human review of your application, please contact us at talent@openzeppelin.com.

Location: Palo Alto ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role   Mistral is seeking Research Engineer - Full Stack to facilitate the adoption of its products among internal stakeholders and collaborate with them to address complex technical challenges.   What You Will Do   • Collaborate closely with researchers, AI engineers, and product engineers on complex customer projects, integrating cutting-edge AI models into clients’ software products. • Design, develop, and maintain scalable and robust full-stack applications, ensuring seamless integration between front-end and back-end systems. • Develop complex use cases with our internal stakeholders, providing guidance and ensuring the best production integration with back-end and front-end interfaces. • Collaborate with our product and science team to continuously improve our product and model capabilities based on internal feedback.   WHAT WE'RE LOOKING FOR   • You are fluent in English • You hold a degree in Computer Science, Software Engineering, or a related field. • You have 2+ years as a technical individual contributor on cutting-edge technologies • You have strong technical coding skills in Python and TypeScript • You have experience with front-end frameworks such as React, NextJS, or VueJS. • You have experience with back-end technologies such as NodeJS. • You have a solid understanding of software development principles, including design patterns, data structures, and algorithms. • You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences   Ideally you have: • Experience with LLM/GenAI models • Contributed to open-source projects or libraries • Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Требования: — Знание и понимание современного ландшафта угроз информационной безопасности, моделей (например, MITRE ATT&CK, Cyber Killchain) — Знание актуальных инструментов и методов реализации атак — Практический опыт разработки контента для систем классов SIEM, EDR, NTA — Практический опыт работы с источниками данных CTI — Опыт разработки сценариев детектирования угроз информационной безопасности — Навыки разработки скриптов для автоматизации рутинных задач, написания SQL-подобных запросов — Знание и понимание подхода Detection-as-a-Code и применяемых инструментов — Опыт участия в мероприятиях Purple Team будет плюсом Задачи: — Управлять контентом систем SOC и его развитие — Актуализировать контент на основе анализа угроз информационной безопасности и данных CTI — Управлять процессами анализа и использования данных CTI, разработки сценариев детектирования угроз, разработки контента в SOC, внедрения правил детектирования в системах SOC — Участвовать в мероприятиях Purple Team

Компания МТС Банк ищет ведущего разработчика Java в команду "Выгоды". Команда отвечает за основной экран банковской лояльности в мобильном приложении и личном кабинете клиента, где клиент может найти и воспользоваться всеми доступными преимуществами от использования продуктов банка. Задачи: — разрабатывать приложения и сервисы на Java — участвовать в поиске, анализе и выработке архитектурных решений — проводить code-review для постоянного совершенствования — участвовать в развитии технических и технологических процессов в команде и компании — общаться с архитекторами, аналитиками, тестировщиками, другими разработчиками Требования: — опыт профилирования Java-приложений — опыт реализации сервисов в рамках микросервисной архитектуры — понимание внутреннего устройства Spring Framework — участие в принятии архитектурных паттернов и решений — участие в разборе инцидентов

Компания МТС Банк — одно из ключевых направлений экосистемы МТС, использует современные цифровые решения и развивает технологичные банковские сервисы для В2В и В2С. Вакансия: IOS-Разработчик (middle уровень) в команду Кредитование в Мой МТС. Развиваются разделы: МТС Флекс, мобильная коммерция, кредитные карты, лимиты на связь, лимиты на покупки и др. Технологии и стек: Swift, SnapKit, URLSession, REST API, модульная архитектура, Unit-тесты на Quick/Nimble, моки через Cuckoo, автогенерация через Sourcery, SwiftLint. Задачи: — участвовать в разработке продуктов — участвовать в поддержке и расширении функционала — проводить code-review для постоянного совершенствования — участвовать в развитии, планировании и PBR — общаться с архитекторами, аналитиками, тестировщиками, другими разработчиками — писать unit-тесты — заниматься рефакторингом существующей кодовой базы Требования: — опыт коммерческой разработки клиентских приложений под iOS от 3-х лет — верстка кодом и понимание работы Autolayout — понимание устройства Clean архитектур — понимание и опыт работы с управлением памятью в Swift — понимание принципов SOLID и опыт их применения — понимание Objective-C кода на уровне чтения — понимание нюансов работы с сетевым слоем — понимание принципов работы Git — понимание концепции ООП, работы алгоритмов и структур данных — понимание концепции многопоточности, опыт работы с ней — понимание принципов работы DI (например, Swinject)

Компания МТС Банк ищет ведущего разработчика Android для работы в Стриме Состоятельные клиенты. Команда занимается развитием сервисов предоставления нефинансовых привилегий для состоятельных клиентов банка, включая такси, бизнес-залы аэропортов, страхование и программы лояльности. Технологии и стек: Языки: Kotlin (основной), Java Core (обязательное знание) UI: Jetpack Compose (практический опыт) Архитектура: Clean Architecture, SOLID, паттерны MVI/MVVM Асинхронность: Kotlin Coroutines/Flow DI: Dagger 2 Задачи: — разработка продуктов с использованием Kotlin/Java Core — поддержка и расширение функционала — проведение code-review — участие в развитии, планировании и PBR — взаимодействие с архитекторами, аналитиками, тестировщиками, разработчиками — написание юнит тестов — рефакторинг существующей кодовой базы Требования: — коммерческий опыт разработки под Android от 2 лет — уверенное владение Kotlin, знание Java Core — практический опыт разработки UI с Jetpack Compose — опыт работы с Kotlin Coroutines/Flow — опыт работы с Dagger 2 — понимание Clean Architecture, SOLID — понимание паттернов MVI и MVVM — умение писать Unit-тесты — владение Git Будет плюсом: — опыт разработки, публикации и поддержки Android SDK — опыт работы с многомодульной структурой проекта — опыт работы с CI/CD (GitLab CI или др.)

Задачи: — разрабатывать и поддерживать микросервисы на Java 17+ (Spring Boot) — участвовать в развитии архитектуры сервисов: от постановки задач до внедрения — работать с технологическим стеком: Kafka, PostgreSQL, Kubernetes, Gitlab CI — проводить code-review, участвовать в разборе инцидентов и развитии технических процессов в команде — взаимодействовать с аналитиками, архитекторами, тестировщиками и другими разработчиками Требования: — опыт профилирования Java-приложений от 2-х лет — опыт реализации сервисов в рамках микросервисной архитектуры — понимание внутреннего устройства Spring Framework — опыт участия в принятии архитектурных паттернов и решений — опыт участия в разборе инцидентов Стек технологий: Java 17 Spring Kafka PostgreSQL Gitlab CI Kubernetes Atlassian (JIRA, Confluence)

Компания МТС Банк ищет старшего Java/Kotlin разработчика для работы в Москве. Компания развивает технологичные банковские сервисы и финтех-продукты для B2B и B2C, в том числе масштабное Insurtech-направление МТС Страхование, создающее страховые продукты, встроенные в клиентский путь на цифровых витринах компаний экосистемы. Стек и подход: Backend: Java 21, Kotlin, Spring (Boot, Cloud, Data), Micronaut (будет плюсом). Базы данных: PostgreSQL, работа с большими данными. Асинхронная коммуникация: Apache Kafka. Инфраструктура: современные cloud-решения (K8s, Docker), CI/CD (GitLab CI/Jenkins). Методологии: Agile (Scrum/Kanban), акцент на качестве кода и данных. Задачи: — Разрабатывать server-side приложения на Java/Kotlin. — Участвовать в поиске, анализе и выработке архитектурных решений. — Проводить code-review для постоянного совершенствования. — Участвовать в развитии технических и технологических процессов в команде и компании. — Общаться с архитекторами, аналитиками, тестировщиками, другими разработчиками. — Писать SQL-запросы. — Покрывать новый функционал unit- и интеграционными тестами. — Взаимодействовать с заказчиками и аналитиками в процессе проектирования и реализации задач. Требования: — Опыт разработки на Java от 3 лет или на Kotlin от 2 лет. — Хорошее знание Java SE (Collections, Concurrency, JMM, GC). — Понимание сути паттерна MVC, опыт работы со Spring. — Хорошее знание SQL. — Умение обращаться с терминалом Linux. — Опыт реализации сервисов в рамках микросервисной архитектуры. — Понимание внутреннего устройства Spring Framework. — Опыт участия в принятии архитектурных паттернов и решений. — Опыт участия в разборе инцидентов. Будет преимуществом: — Опыт работы с Kafka. — Опыт работы с Micronaut. — Понимание работы корутин.

Задачи: — разрабатывать и поддерживать микросервисы на Java 17+ (Spring Boot) — участвовать в развитии архитектуры сервисов: от постановки задач до внедрения — работать с технологическим стеком: Kafka, PostgreSQL, Kubernetes, Gitlab CI — проводить code-review, участвовать в разборе инцидентов и развитии технических процессов в команде — взаимодействовать с аналитиками, архитекторами, тестировщиками и другими разработчиками Требования: — опыт профилирования Java-приложений от 2-х лет — опыт реализации сервисов в рамках микросервисной архитектуры — понимание внутреннего устройства Spring Framework — опыт участия в принятии архитектурных паттернов и решений — опыт участия в разборе инцидентов Будет плюсом: — опыт разработки на C# — знание платформы .net

Требуется ведущий разработчик C# для работы в МТС Банке. Требования: — умение проектировать распределённые, высоконагруженные системы; — понимание SOA/EDA, микросервисной архитектуры, DDD; — технологический стек: C# dotnet 8-10, PostgreSQL, Redis, Kafka, CI/CD с использованием внутреннего GitLab (git, code-review, build pipelines), Artifactory (package management), Harbour (image registry); — умение использовать пакеты Confluent.Kafka, StackExchange.Redis, Npgsql, NUnit; — отличное понимание aspnet core, жизненного цикла HTTP запроса и соответствующих механик; — отличное понимание принципов SOLID и основных принципов ООП; — отличные навыки troubleshooting/debug; — желателен опыт работы в финтехе. Обязанности: — проводить code review; — участвовать в принятии архитектурных решений; — оценивать сложности задач и прогнозировать трудозатраты; — возможно снятие и разбор дампа процессов; — участвовать в проведении оптимизаций в коде и инфраструктуре.