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Location: Toronto, Ontario, Canada About the Role iCapital is looking for a Salesforce Administrator to take hands-on ownership of the Salesforce estate, spanning multiple organizations supporting the Distribution, Enterprise, Structured Investments, and Data Solutions teams.  Working alongside a close-knit team to drive platform stability, data quality, and commercial capability, this is a role for someone comfortable walking into complexity, assessing it clearly, and building solutions that last. Responsibilities Support daily Salesforce operations, including user requests, ticket resolution, and stakeholder communication. Lead the assessment, documentation, and enhancement of Salesforce configuration across multiple organizations including environments where formal ownership is being established. Gather and translate business requirements into scalable, user-friendly solutions. Configure standard Salesforce tools such as Flows, approval processes, reports and dashboards. Manage user and license administration (i.e. setup and deactivation, roles, profiles, permission sets, sharing rules). Partner with an external delivery partner and progressively take ownership of complex configuration and build work as internal capability scales. Maintain and manage sandbox environments for testing and deployment. Collaborate with teams using integrated platforms. Troubleshoot and fix bugs as needed. Monitor Salesforce releases and recommend relevant platform improvements. Communicate platform updates and provide user training as needed. Qualifications 5-7+ years of hands-on Salesforce Admin experience Bachelor’s degree or equivalent experience in a related field Salesforce Administrator certification is required; Salesforce Advanced Administrator certification is a plus Experience with Salesforce Data Cloud, Agentforce, Marketing Cloud or integrated platforms such as HubSpot, Cvent, or Tableau is strongly preferred Experience working across multiple Salesforce orgs, including environments with limited existing documentation Familiar with financial services, fintech, or alternative investments is a plus Excellent written and verbal communication skills with attention to detail Able to document processes and contribute to internal knowledge management Comfortable working independently while collaborating across teams Benefits 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. The base salary range for this role is CAD 95,000 to CAD 110,000. iCapital offers a comprehensive benefits package that includes a competitive total compensation package consisting of salary, bonus, and equity for all full-time employees. The Company pays 100% of the premium for all Group Benefits for you and your dependents.  Some of these benefits include medical, dental, vision, prescription, life insurance and long-term disability.  We offer a variety of Retirement Plans which have a company match.   We offer unlimited Paid Time Off (PTO) and most employees the flexibility to work in the office three to four days and remotely for the remainder of the week.  Every department has different needs, and some positions will be designated in-office jobs, based on their function. 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 support a fair and inclusive workplace, in which all applicants have an opportunity to fulfill their potential and every person has the right to equal treatment with respect to employment without discrimination.  iCapital does not tolerate any discrimination contrary to the Ontario Human Rights Code, including on the grounds of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, record of offences, marital status, family status or disability.

Задачи: — разрабатывать и дорабатывать масштабируемые высоконагруженные высокопроизводительные приложения — выбирать технологии и паттерны проектирования для реализации, определять форматы хранения и передачи данных — разрабатывать модульные и интеграционные тесты — исправлять дефекты эксплуатируемой функциональности — участвовать в проведении code-review — участвовать в повышении качества разработки: оптимизация текущего программного кода, рефакторинг сложных участков, развитие архитектуры, улучшение тестируемости и стабильности системы Требования: — знание и умение применять принципы и понятия ООП — опыт применения паттернов проектирования — отличное знание языка C# .NET (желательно Core), WCF, WebApi — опыт разработки высоконагруженных систем — опыт оптимизации и рефакторинга текущего программного кода — умение работать с технической документацией

Задачи: — Design, build, and maintain data infrastructure and pipelines spanning both batch and real-time / streaming workloads, contributing to architectural decisions along the way — Build and maintain scalable, efficient, and reliable ETL/ELT pipelines using languages and frameworks such as Python, SQL, Spark, Flink, Beam, or equivalents — Work on real-time or near-real-time data solutions (e.g. CDC, streaming, micro-batch) for use cases that require timely data — Partner with data scientists, ML engineers, analysts, and product teams to understand data requirements, define SLAs, and deliver coherent data products that others can self-serve — Establish data quality, validation, observability, and monitoring frameworks (data auditing, alerting, anomaly detection, data lineage) — Investigate and resolve complex production issues: root cause analysis, performance bottlenecks, data integrity, fault tolerance — Document data flows, data dictionaries, architecture patterns, and operational runbooks Требования: — 5+ years of experience in data engineering (or similar) roles — Strong experience in ETL/ELT pipeline design, implementation, and optimization — Deep expertise in Python and SQL writing production-quality, maintainable, testable code — Experience with large-scale data warehouses (e.g. Databricks, BigQuery, Snowflake) — Solid grounding in software engineering fundamentals, data structures, and systems thinking — Hands-on experience in data modeling (dimensional modeling, normalization, schema design) — Experience building systems with real-time or streaming data (e.g. Kafka, Kinesis, Flink, Spark Streaming), and familiarity with CDC frameworks — Experience with orchestration / workflow frameworks (e.g. Airflow) — Familiarity with data governance, lineage, metadata, cataloging, and data quality practices

Требования к кандидату: — 3+ года опыта в аналитике — Уверенное владение SQL — Опыт работы с dbt или аналогичными инструментами — Широкий аналитический опыт (продуктовая, бизнес- и revenue-аналитика) — Умение работать с логикой и данными как B2B-, так и B2C-бизнесов FunnelFox — no-code инструмент для роста дохода приложений через Web2App-воронки. Мы строим аналитическую инфраструктуру на базе собственного хранилища данных, dbt и Airflow. Ваша работа будет использоваться как для внутренних решений, так и для отчётности перед клиентами, поэтому точность и надёжность данных имеют критическое значение.

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 Design at Anthropic sits at the intersection of craft, research, and product intuition. We're a small team working on products that millions of people use daily—and on interactions that don't have established conventions yet. Our work shapes how people experience AI: whether Claude feels like a tool or a collaborator, whether it earns trust or erodes it. We partner closely with engineers and researchers, often designing around capabilities that are emerging in real-time. That means staying close to the models, prototyping rapidly, and being comfortable with ambiguity. We're looking for designers who ship fast and stay in motion—people who would rather get something in front of users this week than perfect it for a month. You're excited to question fundamental UI assumptions and invent patterns that feel native to AI, and you're already using tools like Claude Code to extend what you can build. You pay attention to where model capabilities are heading, not just what Claude can do today, and you find ways to keep caring about the pixels, the copy, and the edge cases while shipping quickly. Key responsibilities Collaborate with product managers, engineers, AI researchers and other stakeholders to define product vision, strategy and roadmaps, and play an active role in shipping. Understand the technical architecture of our products and define primitives for new capabilities. Define feature areas with exceptional attention to detail and polish, identifying opportunities to improve quality and consistency of broader flows Craft beautiful, polished, and delightful user interfaces that build trust and showcase the power of our AI technology Comfortable in code, design, prototypes, and learning new ways to communicate ideas and concepts Find creative ways to ship high-quality work in a fast-paced, often ambiguous, resource-constrained startup environment Minimum qualifications Experience designing and shipping complex workflows, enterprise/B2B SaaS, developer tools, or API products end-to-end Proven track record of executing end-to-end on large and complex products, or a series of products, in ambiguous environments A portfolio demonstrating user-centered design thinking and polished UI craftsmanship Proficiency with modern design and prototyping tools, such as Figma Experience using AI tools such as Claude Code as a creative partner in your own design practice Excellent collaboration and communication skills to work effectively with cross-functional teams and influence without authority Preferred qualifications Experience prototyping with front-end code (e.g., HTML/CSS/JS) Passion for crafting scaled, highly impactful, safe and beneficial artificial intelligence technologies to enable new possibilities 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: $305,000 — $460,000 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. 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: Berlin Workplace: Hybrid OUR STORY: Every year millions of people are either filing their taxes in fear or giving up on their tax refund altogether. We're working on fixing that. Our intuitive app enables anyone, regardless of education or background, to file their taxes with newfound confidence. Spread across Germany, Spain and the UK, the team at Taxfix Group with its brands Taxfix and Steuerbot, is a compassionate group of solution-finders. We speak our minds openly, and with over 400 professionals, including tax experts, developers, and IT security experts, we're rich in ideas and voices. The group has facilitated more than 3.5 billion euros in tax refunds for its customers since its founding in 2016. YOUR CHALLENGE At Taxfix, we have democratized tax filing for millions of people. Now, we are building our next major growth engines. As an Entrepreneur in Residence, you will work directly with our C-level leadership and Management Team to identify, validate, and build new business opportunities. You will take ideas from zero to one and help scale proven businesses from one to one hundred. This role is designed for an ambitious recent graduate or early-career strategy consultant who wants to move from advising businesses to building them. You will operate with high autonomy, turn ambiguous opportunities into clear choices, and help launch ventures that can become meaningful parts of Taxfix’s future. YOUR TEAM You will join our New Ventures function and work closely with Taxfix’s C-level leadership and Management Team. Depending on the opportunity, you will collaborate with colleagues across Product, Commercial, Operations, Finance, Legal, and Tax. You will bring the right people together, create clarity in uncertain situations, and drive initiatives from the first hypothesis through validation, launch, and scale. YOUR RESPONSIBILITIES - Identify attractive customer problems and market opportunities through research, customer interviews, competitor analysis, and rapid experimentation. - Design and run tests to validate customer demand, willingness to pay, commercial viability, and operational feasibility. - Develop compelling propositions, business models, pricing strategies, unit economics, operating models, and go-to-market plans. - Move beyond presentations by building prototypes, coordinating pilots, acquiring initial customers, and establishing the foundations for launch. - Turn validated ventures into scalable businesses by developing repeatable growth engines, robust operating models, strong teams, and performance management systems. - Translate complex analysis into concise, decision-ready recommendations for the C-level team, Leadership Team, and Board. - Mobilise colleagues across Product, Commercial, Operations, Finance, Legal, and Tax to move ventures forward. YOUR PROFILE - You have a hands-on builder mentality and do not wait for perfect resources or specialist support. - You use AI-native tools and vibe coding to rapidly build prototypes, automate workflows, analyse data, and turn ideas into tangible products and experiments—even if you are not a software engineer by training. - You are a recent graduate from a leading university or business school, such as WHU, HHL, HSG, HEC, ESADE, or a comparable institution; alternatively, you have up to two or three years of experience at a leading strategy consultancy such as McKinsey, BCG, Bain, or a comparable firm. - You want to build companies, products, or business lines and may aspire to become a founder in the future. - You can break ambiguous questions down into hypotheses, analyses, experiments, and clear decisions. - You combine strategic depth with a strong bias for action. You are willing to speak with customers, build a model, test a landing page, or solve an operational bottleneck yourself. - You understand what creates customer value and can connect it to pricing, unit economics, distribution, and scalable operations. - You communicate complex ideas clearly and concisely, both verbally and in writing. - You act with pace, resilience, sound judgement, high ownership, and low ego. - You are fluent in German and English. WHY TAXFIX?  - A chance to do meaningful, people-centric work with an international team of passionate professionals. - Holistic well-being with free mental health coaching sessions. - A monthly allowance to spend on an extensive range of services that you can use and roll over as flexibly as you like. - Employee stock options for all employees—because everyone deserves to benefit from the success they help to create. - 30 annual vacation days and flexible working hours. - A generous learning budget to support your personal and professional development and guidance from our internal L&D experts. - Work from abroad for up to six weeks every year. Just align with your team, and then enjoy your trip. - Plenty of opportunities to socialise as a team. In addition to internal meetups, our international team hosts regular get-togethers—virtually and in person when possible. - Free tax declaration filing, of course, through the Taxfix app—and internal support for all personal tax-related questions. - Have a four-legged friend in your life? We’re happy to have dogs join us in the office. Excited? So are we. Check out our Life at Taxfix https://www.linkedin.com/company/taxfix/life/8684512c-424f-44de-8d07-6e6b516e3319/?viewAsMember=true page on LinkedIn to get a glimpse of our culture. At Taxfix, we believe that incredible things happen when you have a wealth of perspectives and experiences. We're proudly committed to equal employment and development opportunities no matter your gender, race, religion, age, sexual orientation, colour, disability, or place of origin. To help mitigate any potential unconscious biases, we ask that you refrain from including your picture, age, or marital status on your CV. Let your experiences speak for themselves. Not sure if you meet all the requirements for this role? Please apply anyway. You might bring something special to the team that we hadn't considered previously.

Location: Dallas, Texas Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. Who You Are You're a seasoned project controls professional with 7+ years managing schedule, cost, change, and documentation on large-scale, mission-critical construction programs — ideally in data centers, schedule-driven sector where downtime isn't an option. You read a P6 schedule critically — spotting broken logic, float that's been quietly manipulated, and a critical path that's about to move before it shows up in next week's update. You can pick apart a change order line by line and know a GMP well enough to catch a buyout gap before it becomes a claim. You're equally comfortable pushing back on a general contractor in a weekly OAC meeting and briefing an executive on cost and schedule risk in five minutes flat. You don't wait to be asked for bad news — you surface it early, with the data to back it up. You build trust with GCs, design consultants, finance, and leadership not by being agreeable, but by being fair, prepared, and unwilling to accept a story that doesn't add up. You think in systems — cost, schedule, risk, and change aren't separate disciplines to you, they're one integrated view of program health — and you're comfortable operating in an environment where the schedule compresses, the scope shifts, and the stakes don't. What You'll Do Manage the third-party scheduling consultants who review, analyze, and maintain the master schedule, setting expectations for quality, cadence, and reporting Work directly with general contractors to review and validate their schedules — testing logic, durations, critical path, float, and sequencing against owner milestones Own schedule health reporting to leadership, giving a clear, honest picture of progress, risk, and forecast, and escalating issues before they become delays Own the change order process end-to-end: intake, review, verification, negotiation, and resolution Critically evaluate change orders for scope, pricing, and schedule impact — verifying quantities, labor, markups, and backup rather than taking submissions at face value Negotiate change orders directly with the general contractor to protect Galaxy's cost and schedule position Represent Galaxy in weekly change and progress meetings with the GC, driving accountability and timely closure of open items Maintain a complete, auditable change order log reconciled against the project budget and GMP Serve as the bridge between field/GC reality and Finance's cost picture, ensuring both tell the same story Own documentation control for active projects — RFIs, submittals, change documentation, meeting records, and contractual correspondence Establish and improve project controls standards, templates, reporting, and governance across the portfolio What We're Looking For Bachelor's degree in Construction Management, Engineering, Architecture, Finance, or a related field, or equivalent experience 7+ years of project controls or construction management experience on large-scale, complex programs; mission-critical or data center experience required Proven experience managing schedule on the owner's side, including oversight of scheduling consultants and review of GC-maintained schedules Deep, hands-on command of CPM scheduling and Primavera P6 — enough to interrogate a schedule, not just read one Demonstrated experience owning the change order process, including verification and direct negotiation with general contractors Strong working knowledge of construction contracts and GMP structures (AIA A133/A201 or similar) Ability to read and interpret construction drawings, specifications, and contract documents Excellent negotiation and communication skills, with the ability to hold GCs accountable and brief executives with equal credibility Ability to manage controls across multiple concurrent projects in a fast-paced, deadline-driven environment What You Bring An owner's mindset — you protect the schedule, the GMP, and the record as if the capital were your own, and you hold contractors and consultants to that same standard. The credibility to sit across from a general contractor and negotiate change with confidence, and the judgment to know which battles matter. A sharp, detail-driven eye that catches the number that doesn't hold up, the logic that doesn't sequence, and the risk before it becomes a delay. The versatility to move fluidly between the field, the GC, Finance, and the executive table, tailoring the message to each without losing the thread. A bias for order and structure — you bring discipline to controls, documentation, and reporting in a fast-moving, high-growth environment. Willingness to travel up to 20% to Data Center sites as the work requires. What We Offer: Competitive base salary and discretionary bonus Flexible Time Off (i.e. unlimited paid vacation days) Company paid Holidays (14) Company paid sick leave Company-paid health and protective benefits for employees, partners, and other dependents 3% 401(k) company contribution Generous paid Parental Leave Free virtual coaching and counseling sessions through Ginger Free daily snacks in-office Smart, entrepreneurial, and fun colleagues Employee Resource Groups *Benefits may vary depending on location. Apply now and join us on our mission to engineer a new economic paradigm. Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

Задачи: — Разработка платёжной инфраструктуры: оркестрация и маршрутизация между провайдерами и MID. — Реализация карточного vault, токенизации и безопасной работы с картами. — Настройка рекуррентных списаний, ребиллинга, ретраев и защиты от двойных списаний. — Подключение эквайеров/PSP и доведение решений до продакшена. Требования: — 5+ лет коммерческой backend-разработки, сильный опыт на Go или Node.js/TypeScript. — Практический опыт payment orchestration и карточной токенизации. — Понимание PCI DSS и безопасной работы с карточными данными. — Опыт работы с несколькими PSP/эквайерами, recurring payments, обработки отказов и идемпотентности. — Опыт в стартапах и самостоятельное ведение задач от решения до запуска. — Ежедневное использование coding agents (Claude Code, Codex или аналогичные). — Очень продвинутый английский для общения с международной командой и фаундерами. Условия: — Full-time, без параллельных проектов (B2B). — Полностью удалённая работа. — Пересечение с рабочими часами Кипра. — Небольшая команда, прямое взаимодействие с CTO и влияние на архитектуру.

Location: Paris Workplace: Hybrid 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 Cybersecurity is one of the areas where AI could do the most good — and one where the capability must be built with particular care. As a Research Engineer on this track, you'll push our models' capabilities in vulnerability discovery and remediation, security analysis, incident response, and across the offensive-to-defensive spectrum of cybersecurity, and it will be your job to develop that ability deliberately and safely. The work sits at the meeting point of research and engineering: you'll devise new approaches and be the one to implement them. Concretely, that means designing and building RL environments that reproduce realistic security scenarios, pipelines that generate synthetic training instances at scale, and experiments and evaluations that show what our models can actually do. Your results feed directly into the production training runs that shape our frontier models, in close collaboration with Mistral's researchers, engineers, and security specialists. Security specialists and ML engineers are both welcome here — what matters is that you can hold your own in both worlds, and are eager to go deeper on the one you know less. WHAT YOU WILL DO - Design and implement RL environments simulating cybersecurity scenarios. - Build the pipelines and infrastructure that generate synthetic cybersecurity training instances at scale — thousands of scenarios, not one hand-crafted exercise. - Conduct experiments and evaluations of model capabilities on these environments, from quick prototypes to controlled benchmark runs. - Own the infrastructure behind the environments: containers, sandboxes, VMs, cloud deployments, and orchestration (Kubernetes), all managed as code. - Partner with researchers and security specialists across Mistral, distilling their domain expertise into reproducible environments and datasets. - Write clear, efficient code in Python and enforce strong software-design practices: testing, code review, CI/CD. WHAT WE'RE LOOKING FOR - Hands-on expertise in offensive and/or defensive cybersecurity: vulnerability analysis, web/network/cloud security, secure coding practices, and SOC. - Strong software engineering skills: clean, reliable, well-tested code — not just exploit scripts. - Fluency in Python plus comfort reading lower-level languages (C/C++) for vulnerability analysis. - DevOps experience: Docker, Kubernetes, cloud deployments, sandboxed or simulated environments. - A pragmatic research-to-engineering mindset: ship a working first version, then refine and scale it. - Working knowledge of RL techniques and LLM training methodologies, or strong motivation to develop it. - Self-starter, low-ego, collaborative — comfortable working across research and engineering. NICE-TO-HAVES - CTF, cyber-range, or bug-bounty experience — as a player, challenge author, or platform builder. - A research background in cybersecurity, academic or industrial, or in another experimental discipline. - Prior experience building RL environments or large-scale ML training infrastructure. - Relevant open-source contributions and projects. 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: Singapore 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. ABOUT THE JOB Mistral AI is seeking Applied Scientists and Research Engineers focused on robotics. You will design, train, and deploy SOTA robotics models (VLM, VLA models for navigation and manipulation) and apply them to diverse use cases. You'll work cross-functionally with internal and external science, engineering, and product teams to deliver high-impact AI solutions. WHAT YOU WILL DO - Run pre-training, post-training and deploy state of the art models on large clusters. - Generate and curate datasets (image-text, video-text), and build evaluators/benchmarks for perception, navigation and manipulation tasks. - Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment. - Collaborate with cross-functional teams to tackle complex use cases. - Manage research projects and communications with client research teams. ABOUT YOU - Fluent in English with excellent communication skills. - Expert with PyTorch or JAX. - Experience with Vision Language Models (VLM), Vision-Language-Action (VLA) models, perception, navigation and manipulation, simulation tools (e.g. Isaac SIM). - Clean, readable, high-performance Python code. - Doesn't need roadmaps. Ships. - Low-ego, collaborative and eager to learn. - Track record of success through personal projects, professional projects or academia. NICE TO HAVE - PhD / Master in a relevant field (Robotics, Machine Learning). - Research experience in robotics navigation, perception, manipulation. - Contributions to a large open-source or industry codebase. - Publications in top academic journals or conferences. - Enjoys improving existing code: typing, tests, CI pipelines. 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: Singapore 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. ABOUT THE JOB Mistral AI is seeking an Applied AI Engineer focused on robotics deployment. You will take state-of-the-art AI models and make them work on real robots, in real environments, for real customers. This is a hands-on role at the intersection of machine learning and physical systems: you will own the path from model to deployed autonomy, working alongside robotics engineers, ML researchers, and systems engineers to deliver end-to-end autonomous solutions across diverse use cases. WHAT YOU WILL DO - Integrate AI models with robotic hardware, sensors, and embedded systems, bringing modern perception and language-driven capabilities onto physical platforms. - Improve the robustness, reliability, and safety of robotic systems operating in real-world, unstructured environments. - Test and validate algorithms in simulation and in real-world deployments, moving fluidly between the two. - Analyze field data to improve model performance and system reliability, closing the loop between what happens on the robot and what happens in training. - Bring up, tune, and debug the autonomy stack — localization, mapping, navigation, and perception — on real hardware, from sensor calibration to real-time performance. - Develop and tune robot navigation behaviors — path planning, obstacle avoidance — so systems hold up in dynamic, cluttered, and partially observable environments. - Diagnose failures end-to-end: mapping drift, localization dropouts, perception edge cases, timing issues — and fix them. - Collaborate with robotics engineers, ML researchers, and systems engineers to deliver complete autonomous solutions for customer use cases, from prototype through production deployment. - Build and maintain the tooling needed for deployment, monitoring, and continuous improvement of deployed systems. ABOUT YOU - Bachelor's, Master's, or PhD in Mechatronics, Robotics, or a relevant discipline (e.g. Computer Science, Electrical or Mechanical Engineering). - Fluent in English with excellent communication skills. - Strong software engineering in Python and/or C++: clean, readable, high-performance code; comfortable working in and improving production codebases. - Knowledge of robotics frameworks such as ROS/ROS2. - Experience with robot perception and state estimation: SLAM, localization and mapping, path planning, sensor fusion, or computer vision. - Solid mathematical fundamentals — geometry, probability, and estimation — and the judgment to know when a hand-crafted algorithm beats a learned one. - Familiarity with simulation tools and robotics development environments (e.g. Isaac Sim, Gazebo, or similar). - Strong problem-solving skills and ability to work in interdisciplinary teams. - Comfortable with the messiness of the real world: hardware quirks, edge cases, and field surprises don't scare you. - Low-ego, collaborative, and eager to learn. - Doesn't need roadmaps. Ships. NICE TO HAVE - Experience deploying ML models on embedded or edge hardware (GPU/NPU inference, quantization, real-time constraints). - Hands-on experience with sensor modalities such as LiDAR, depth cameras, or IMUs, including calibration and time-synchronization. - Exposure to VLM/VLA models or other foundation-model approaches for robot perception and control. - Experience with navigation in GPS-denied or otherwise challenging environments, or with visual-inertial odometry. - Working knowledge of established autonomy tooling — e.g. Nav2, SLAM Toolbox, Cartographer, RTAB-Map, or AMCL — and knowing when to build versus reuse. - Experience with behavior trees, dynamic costmaps, or fleet-level navigation. - Contributions to open-source robotics or ML projects. - Experience with safety-critical or regulated deployment environments. - Track record of success through personal projects, professional projects, or academia. 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: Remote, Canada; Remote, Israel; 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. An overview of this role We are hiring a Staff Product Security Architect to join our Security Platforms and Architecture organization at GitLab. Rather than operating as a purely consultative body, Security Architecture at GitLab functions as a hands-on technical driver. Our mission is to embed proactive guidance directly into modern developer workflows and automated coding environments, embedding security standards into the software development process from the outset. We strive to enable teams to deliver secure, resilient software seamlessly while minimizing reliance on manual security gates. In this role, you will collaborate closely with product engineering organizations, spearhead architectural strategy for critical capabilities, and serve as the primary Security Owner driving risk reduction for key entries within our risk management framework. Your daily work will span architectural design reviews, technical prototyping, and establishing scalable patterns that enable engineering teams to execute autonomously. What you’ll do Partner with engineering and product leadership across GitLab, developing enough context in their domains to anticipate security problems rather than react to them Lead security architecture and design work for strategic initiatives, and provide direction to the cross-functional teams delivering them Identify, assess, and prioritise systemic security risks, and act as Security Owner for high-priority items in the Product Security Risk Register, co-executing remediation with the teams who own the code Codify recurring security decisions into reusable artifacts — guardrails, standards, design patterns,skills, and reference threat models — delivered into developer and AI coding tool workflows Build proofs of concept and prototypes to unblock engineering teams and shorten the distance between a security requirement and a working implementation Conduct security architecture reviews for large or strategic projects, and coordinate with Application Security so that review coverage is comprehensive and correctly prioritised Threat model new and existing systems, and establish the patterns that let teams threat model their own work Work with Security Research on proactive exploration of unknown risks in GitLab's architecture Anticipate emerging security challenges and propose architectural responses before they reach implementation Mentor security engineers across the division, and represent security architecture to engineering audiences What you’ll bring Depth in application security architecture, including authentication and authorization models, privilege escalation, multi-tenant isolation, and trust boundary analysis Experience securing distributed systems, including service-to-service authentication, secrets handling, and the failure modes of security decisions made across process boundaries Working knowledge of software supply chain security: build and release integrity, artifact provenance, and dependency risk A track record of proactive architecture work — identifying risk before it becomes an incident, and designing something that prevents a class of problem rather than an instance of one Demonstrated ability to build trusted relationships with engineering leadership and influence technical direction through expertise rather than gatekeeping Experience defining security standards or patterns that teams adopted without being compelled to The ability to operate strategically while remaining hands-on, including reading unfamiliar code, building prototypes, and contributing changes Clear written communication, and the ability to make a security argument to an engineering audience that does not already agree with it A view on how security guidance should be authored and delivered for AI coding tools, not only for humans About the team Security Architects are a part of our Security Platforms and Architecture team, who address complex security challenges facing GitLab and its customers to enable GitLab to be the most secure software factory platform on the market. Composed of Security Architecture , Security Research , and Application Security, we focus on systemic product security risks and work cross-functionally to mitigate them while maintaining Engineering’s development velocity. In FY27, we're implementing a new organizational model where each architect is dedicated to a specific functional area of GitLab's product, enabling deeper context, stronger relationships, and more proactive security guidance. As the Core DevOps architect, you'll be part of a team that includes architects focused on AI and the Sec Section, creating opportunities for collaboration on cross-cutting security challenges while maintaining specialized expertise in your domain. 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 $168,000 — $238,000 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: New York, New York; San Francisco Bay Area, California Workplace: onsite We build production AI systems for enterprises. We are an AI-first systems integrator and a Select-tier partner in Anthropic's Claude Partner Network, among the first integrators selected. The work is good. Most people have never heard of it. That is the job. We are looking for a marketer, first and foremost, who can tell the story of what we build in a way that actually travels, and who is comfortable enough with code to build simple tools that make that storytelling faster and sharper. Not an engineer who writes copy on the side. What you will do: Turn real engineering work into stories people share. Sit close to the teams shipping AI systems for banks, healthcare companies, and PE-backed operators, and translate what they built into video, writing, and demos that travel Own channels outright. Write, publish, and measure across LinkedIn, YouTube, X, and whatever channel matters six months from now that does not matter today Run experiments and kill the ones that lose. Real budget and real autonomy, in exchange for showing your numbers Build simple tools when it is faster than waiting on someone else. A scraper that watches what our market is saying. A dashboard that shows which stories moved pipeline. A microsite for a launch What we are looking for: You have shipped things people used. A campaign, a channel with a real audience, a launch, a tool. We care more about what you made than where you interned You write well and you have a point of view. You can hold attention for 90 seconds on video and 900 words on a page You are genuinely interested in AI, not performatively. You read the papers or you read the people who read the papers, and you have changed your mind about something in the last six months You are comfortable around code. Python or TypeScript at a working level. You use Claude Code, Cursor, or equivalent day to day, enough to build a simple tool yourself rather than wait on engineering You are anywhere from your first job to a few years in. If you are early, show us an internship where the bar was high and a portfolio with range You are in New York or San Francisco, or you will be What we offer: Base salary of $80,000 to $180,000 depending on level and location, plus performance bonus 401(k) profit sharing plan after probation period Unlimited PTO policy Medical, vision, and dental insurance Direct access to the people building the systems and to the executives selling them. Small team, no layers between you and the work A budget for tools, models, and experiments, with no approval chain under a threshold Promotion tied to output, not tenure How to apply: Do not send a cover letter. Send three links: something you wrote, something you built, and something you posted that got a reaction. One paragraph on why the third one worked. Then, two sentences on a company whose positioning you think is wrong and what you would change.

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. About the Team At Deliveroo we’re striving to build London’s best and most admired Security Engineering organisation as part of our global team based across North America and Europe. Our London based Security Engineering team is looking for a Senior GRC Engineer. You will be a part of our inclusive, collaborative global team responsible. This is a London based position reporting directly to the Security Compliance Manager based in London. About the Role We're hiring a Senior GRC Engineer to help take DoorDash's compliance program from something people run to something the platform runs on its own. You'll take primary ownership of how regulatory and framework change gets tracked, interpreted, and turned into real controls - one part of a broader GRC function that spans audit, policy, and risk. Day to day, that means less time updating spreadsheets and more time writing the automation, integrations, and control logic that let audit evidence collect itself. You'll also lead major external audits from start to finish and help shape the policies and control standards the rest of the program is built on. This is a hands-on role for someone who already has deep audit and assurance experience, wants to spend more time building than briefing and can move a program forward, and change how people work, without needing the title to make it happen. You’re excited about this opportunity because you will… Build the regulatory and framework change-management process that keeps DoorDash ahead of new obligations, instead of reacting to them. Move manual, point-in-time compliance work onto Compliance-as-Code foundations: policy-as-code, automated control testing, and continuous evidence collection wired into CI/CD, so audit readiness holds up between audits, not just during them. Design and run agentic workflows for evidence analysis, control testing, and audit response preparation, with a human in the loop where assurance demands it. Partner directly with engineering and architecture teams to design controls into new systems at build time and translate that technical work into the narratives auditors actually need. Partner with the Security Compliance Manager to shape and mature the global compliance program. Design, implement and validate security controls relevant to DoorDash’s regulatory environment, not just document them. Support development and refinement of security policies, standards, and guidance. Mentor other members of the compliance team and help set the technical bar the rest of the function grows into. Ensure policies are actionable, testable, and aligned to real-world controls. We’re excited about you because you have… 6+ years of experience in security compliance, GRC or technology risk, with a strong track record in high-growth, technology-driven and regulated environments. Hands-on experience building large language models and agent workflows with daily use of AI in your own work, grounded judgment on what to delegate to agents versus what needs a human, and the ability to evidence both to an auditor. DoorDash is an AI-forward organization and the ability to optimize efficiency using AI is crucial in this role. The ideal candidate brings hands-on experience with frameworks such as DORA, the EU AI Act, NIS2 and CRA. Real, hands-on experience implementing and assessing controls against frameworks like PCI DSS, SOC 2, ISO 27001 - not just reading them. Demonstrated ability to identify control gaps, assess risk and drive remediation in partnership with cross-functional stakeholders. Experience developing, implementing and improving security policies, standards, and procedures, ensuring they are operational and effective. Strong understanding of compliance metrics and reporting, with the ability to track control effectiveness, audit outcomes, and risk exposure. Ability to influence and drive accountability across technical and non-technical stakeholders. Excellent verbal and written communication skills, with the ability to translate complex audit and compliance requirements into clear, actionable guidance. Comfort owning compliance metrics and reporting - you can show, not just assert, that a program is working. Bachelor’s degree in Information Security, Computer Science, or related field, or equivalent practical experience. About DoorDash DoorDash is a technology company that connects customers with their favorite local and national businesses in over 4,000 cities and all 50 states across the United States and Canada. Founded in 2013, DoorDash empowers merchants to grow their businesses by offering on-demand delivery, data-driven insights, and better in-store efficiency, providing delightful experiences from door to door. By building the last-mile delivery infrastructure for local cities, DoorDash is bringing communities closer, one doorstep at a time. Read more on the DoorDash blog or at www.doordash.com . Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of the best and brightest from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Ireland, Dublin 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. Kubernetes Platform Engineer (Controllers) Sony Interactive Entertainment At PlayStation, we're leading the revolution in cloud gaming as we push the boundaries of what's possible! Would you like to use your skills, time, and passion for meaningful projects that are building the future? We're looking for a Platform Engineer who enjoys building Kubernetes-native systems and automation that operate reliably at global scale. If you're passionate about software engineering, Kubernetes, and solving challenging distributed systems problems, we'd love to hear from you. Come help us deliver a unique gaming experience to millions of players around the world. Responsibilities Design and develop Kubernetes controllers and operators that automate the lifecycle of platform services. Contribute to the development of our global workload placement system, enabling intelligent scheduling across Kubernetes clusters running in both public cloud and on-premises data centers. Develop Kubernetes APIs and Custom Resource Definitions (CRDs) that provide clean, maintainable interfaces for platform capabilities. Build and maintain reconciliation logic that safely manages distributed system state. Develop controllers and operators that automate provisioning, configuration, upgrades, and lifecycle management of Kubernetes-based platform components deployed across hybrid cloud environments. Work closely with platform and service teams to build automation that simplifies operating large-scale distributed systems. Improve the reliability, scalability, observability, and maintainability of the platform through thoughtful engineering and continuous improvement. Investigate production issues and participate in root cause analysis to improve platform reliability. Requirements Solid understanding of Kubernetes architecture, lifecycle and core concepts, including workloads running across cloud and on-premises environments. Experience developing software in Go or another modern programming language, with an interest in Go development. Experience building software for Linux-based environments. Experience with Kubernetes development, including controllers, operators, or Kubernetes APIs. 3+ years of professional software engineering experience. Strong problem-solving skills and a desire to learn new technologies. Skills & Knowledge Understanding of Kubernetes reconciliation patterns and declarative system design; especially understanding the principals of Communicating Sequential Processes (CSP). Experience using Kubernetes in production environments. Familiarity with controller-runtime, Kubebuilder, Custom Resource Definitions (CRDs), Common Expression Language (CEL) rules, or Kubernetes API extension mechanisms. Experience building or operating distributed systems spanning public cloud and on-premises infrastructure. Familiarity with Infrastructure as Code (IaC) and GitOps workflows. Experience working with bare metal infrastructure, hybrid cloud environments, or multi-cluster Kubernetes deployments is highly desirable. Experience with Cluster API (CAPI), SIG Multicluster, Karmada, or other Kubernetes ecosystem projects is a plus. Additional Attributes Strong communication and collaboration skills. Comfortable working as part of a distributed engineering team across multiple time zones. Takes ownership of assigned work and follows through to completion. Curious, pragmatic, and eager to learn from teammates while sharing knowledge with others. Enjoys solving the unique engineering challenges of operating software across globally distributed cloud and on-premises infrastructure. Passionate about building reliable systems and improving the user experience. Contributions to open source projects, particularly within the Kubernetes or CNCF ecosystem, are a plus. Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to race, color, religion, gender, pregnancy, national origin, ancestry, citizenship, age, legally protected physical or mental disability, covered veteran status, status in the U.S. uniformed services, sexual orientation, gender identity, marital status, genetic information or membership in any other legally protected category. We strive to build an inclusive environment, empower employees and embrace diversity. We encourage everyone to apply. We sincerely appreciate the time and effort you spent in contacting us, and we thank you for your interest in PlayStation. 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.

Задачи: — Работать с frontend с основным фокусом, но также с backend частями современного веб-приложения. — Понимать полный цикл разработки и эффективно работать с существующим production-кодом. Требования: — Минимум 3 года профессионального опыта в разработке программного обеспечения или веб-приложений. — Уверенное знание JavaScript и/или TypeScript. — Профессиональный опыт работы с React. — Опыт работы с Next.js. — Практическое знание Node.js. — Опыт работы с Express.js или аналогичными backend-фреймворками для Node.js. — Знание HTML5, CSS3, адаптивной верстки. — Опыт интеграции frontend-приложений с REST API. — Понимание аутентификации, состояния приложения, обработки ошибок и асинхронных процессов. — Понимание backend и баз данных, включая устройство backend на Node.js, маршрутизацию, контроллеры, сервисы, middleware, взаимодействие frontend и backend, принципы REST API, базовые концепции аутентификации и авторизации, основы реляционных баз данных, таблицы, связи, ключи, индексы, базовые запросы, связь моделей приложения со структурой базы данных. — Опыт работы с PostgreSQL, MySQL, Supabase, Prisma, Sequelize, TypeORM или аналогичными технологиями будет преимуществом. — Понимание принципов чистого и поддерживаемого кода, разделения ответственности, создания переиспользуемых компонентов и модулей, разумной структуры проекта, устранения дублирования, рефакторинга, обработки ошибок, code review, отладки, базовых практик тестирования, работы с Git и системами контроля версий. — Понимание важности структуры кода и влияния технических решений на проект. — Практический опыт использования AI-инструментов для разработки, таких как ChatGPT, Claude, Cursor, GitHub Copilot, Codex или другие AI-агенты. — Умение использовать AI для изучения кода, генерации и изменения реализации, отладки, рефакторинга, написания тестов, поиска технических решений, анализа и review кода, выявления edge cases, ускорения работы с большими кодовыми базами. — Способность самостоятельно оценивать и проверять сгенерированный AI код на соответствие архитектуре, соглашениям и технической корректности. Кого мы ищем: — Разработчика, который может самостоятельно понять новую функцию или задачу, изучить кодовую базу, реализовать решение и проверить его корректность. — Уверенного в задавании технических вопросов и самостоятельном исследовании кода, способного предлагать разумные технические решения.

О компании и команде Описание общей направленности работы команды: • Написание технической документации; • Поддерживаем документацию по 40+ товарных групп без копипаста; • Документируем API, на которых работает Система маркировки; • Готовим проектную документацию в товарных количествах в автоматизированном режиме; • Работаем напрямую с аналитикой для разработчиков. Обязанности: • Поддерживать техдокументацию для пользователей и разработчиков, включая описание API, в формате AsciiDoc в Gitlab; • Заниматься UX-редактурой; • Работать с ГОСТ 34 (иногда, даже редко); • Взаимодействовать с командой: разработчики, тестировщики, аналитики. Ожидания от кандидата Инструменты и подход (Docs as Code) Уверенное владение Git и Markdown (AsciiDoc будет плюсом). Понимание и применение методологии Docs as Code. Опыт и типы документации Опыт работы с API, документацией для разработчиков и сложными IT-продуктами. Навык не только точечных правок, но и переработки структуры, навигации и пользовательских путей (инфоархитектура). Опыт взаимного ревью документации. Процессы и самоорганизация Самостоятельность: умение работать напрямую с разработчиками и аналитиками, самому выявлять потребности и собирать информацию. Мультизадачность: способность вести пул из 15–20 параллельных задач, контролировать дедлайны и приоритеты без микроменеджмента. Понимание релизного цикла: подготовка документации, ревью, публикация и пост-релизная проверка. AI и автоматизация (Приоритетное направление) Опыт использования AI-инструментов в IDE (Cursor, Copilot, Claude Code) и работы с репозиториями. Понимание того, как AI-агенты могут интегрироваться в процесс обновления документации (уровень выше простого использования чат-ботов для генерации текста). Примечание: Отсутствие глубокого опыта с AI не является стоп-фактором для сильных кандидатов, готовых обучаться. Условия работы Оформление по ТК РФ; ДМС; Работа в растущей компании с возможностью профессионального и карьерного развития; Дополнительное обучение, библиотека, возможность посещения конференций, вебинаров, тренингов.

Задачи: — проводить penetration testing продуктов и сервисов Samsung; — искать и оценивать уязвимости; — проводить code review; — взаимодействовать с разработчиками. Требования: — опыт web application pentest от 3 лет; — знание Burp Suite, OWASP ZAP; — знание OWASP Top 10; — знание Python. Будет плюсом: Kali Linux, AWS, Docker, SAST, CI/CD и DevSecOps, Linux internals, AI Security. Изюминка вакансии: это именно security-команда R&D, а не классический внутренний ИБ-отдел — основной фокус на тестировании большого количества веб-приложений и поиске уязвимостей.