Разработка вакансии

Location: London, UK 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 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 Beneficial Deployments Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences — focusing on raising the floor for those who need it most. About the Role We're looking for an Applied AI Engineer to join our Beneficial Deployments, Life Sciences team. This is a partner-facing role: you'll support nonprofits, research institutes, academic medical centres and public-sector funders as they use Claude to get treatments to patients with rare and neglected diseases, where there is little or no commercial incentive to fund development. The role focuses on clinical development, where we think Claude can help these partners today. Trials in these diseases have small patient populations, investigator-led or nonprofit funding and little operational support, and they often stall on protocol quality, operational risk and site start-up. Claude can help teams design better trials and start them sooner. Much of this work is drug repurposing: testing new uses for approved, usually off-patent or generic medicines, whose known safety profiles can let a good hypothesis reach patients years sooner than a new molecule. You'll advise and embed in partners' teams, building alongside their engineers, scientists and clinicians. Responsibilities Work with partners' trial teams to design, review and prioritise clinical trials with Claude: drafting and reviewing protocols and statistical analysis plans, and flagging enrolment and operational risks. Build and validate tools that help partners find new uses for approved, mostly off-patent medicines in rare and neglected diseases, from literature, omics and patient data, and assemble the evidence so the partner can decide the next step. Build reusable infrastructure other institutions can adopt (MCP servers for biomedical data sources, agent skills, benchmarks grounded in real clinical questions), and feed what you learn in the field back to product, engineering and research. You Might Be a Good Fit If You Have Hands-on clinical development experience: designing, running or analysing clinical trials, or assessing clinical evidence to decide which programmes go forward (for example due diligence or asset evaluation). Drug repurposing work as part of that is a strong plus, as is having contributed to a regulatory submission for a trial. Comfort with biomedical data: literature, omics, and real-world patient data (health records, registries, claims), ideally inside secure or trusted research environments. Strong engineering skills: you can take an LLM-powered tool from prototype to production code, and write evals to measure it. Experience working directly with external partners or customers in a technical role. Clear written and verbal communication: docs other institutes can use without you, and results clinicians trust. A scrappy mentality: you're comfortable in ambiguity, wear several hats, and do what it takes to get a result for a partner. 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: £225,000 — £255,000 GBP 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.

— Разработка, проектирование и тестирование приложений для iOS и Android с использованием Flutter. — Создание и поддержка надежной и расширяемой архитектуры Flutter, способной поддерживать различные функции и интеграции на платформе.

REMOTE RUSSIA | ЭНЕРГОПРОЕКТ Ищем ведущего backend-разработчика, который станет техническим владельцем микросервисной системы для инженерного проектирования и расчёта промышленного оборудования. Продукт работает в проде у нескольких заказчиков, часть — в закрытом контуре.

Location: India ABOUT CLICKHOUSE Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With over 2,000 customers and ARR that has more than quadrupled over the past year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads. We're on a mission to transform how companies use data. Come be a part of our journey! ABOUT THE TEAM The Managed Postgres team is building ClickHouse's fully managed Postgres service. It gives developers a fast, reliable Postgres that works natively alongside ClickHouse, so one platform covers both transactional and real-time analytical workloads. This is a strategic, high-visibility initiative, and the user experience we build will shape how thousands of developers create, manage, monitor, and scale their databases. ABOUT THE ROLE We're looking for a Full Stack Software Engineer to help build responsive, performant, and elegant interfaces that make complex database operations feel simple. You'll work closely with product, design, and backend engineers, and you'll learn from senior engineers while owning real features from day one. WHAT YOU'LL DO - Turn designs and user requirements into intuitive, high-quality interfaces for the Managed Postgres experience in ClickHouse Cloud. - Build features end-to-end: React and TypeScript on the frontend, plus integration with (and contributions to) backend APIs. - Build data-rich UIs for metrics, diagnostics, backups, replication, and performance insights. - Contribute to click-ui, our open-source design system, and follow frontend best practices: code quality, performance, accessibility, and testing. - Give product and design feedback from a developer's point of view. ABOUT YOU - Experience: 1–4 years in frontend or full-stack development. - Core skills: Solid React, TypeScript, and modern frontend fundamentals (state management, component architecture, data fetching). - Backend exposure: Comfortable working with REST APIs; Node.js, Go, or similar is a plus. - Collaboration: You enjoy working closely with designers and backend engineers across a global team. - Developer empathy: You care about fast, clear, purposeful UIs for technical users. - Ownership: You take initiative, ask good questions, and carry work from idea to delivery. - Growth mindset: You're keen to learn and grow your scope quickly. NICE TO HAVE - Experience with Postgres, SQL, or database tooling - Accessibility (WCAG) knowledge - Data visualization or dashboard experience - Open-source contributions WHY JOIN US - Shape the future of the Postgres user experience inside one of the fastest-growing data platforms. - Real ownership and autonomy from day one. - Learn from experts in databases, distributed systems, and developer experience. - Solve meaningful problems in performance, scale, and usability.   PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is seeking a Retail Experience Design Specialist I to help bring the WHOOP brand and product experience to life across physical retail environments. As a member of the Retail team, you will support the design and development of engaging, functional, and distinctly WHOOP spaces that introduce consumers to our products and create memorable brand experiences. In this role, you will apply your architectural training and design skills to help translate creative concepts into thoughtful physical environments. You will work cross-functionally with Retail, Brand, Creative, Operations, and other partners throughout the design process—from early concepts and spatial planning through design development, documentation, production, and installation. The ideal candidate is a recent Master of Architecture graduate with strong spatial and visual design skills, a high level of attention to detail, and an interest in applying an architectural design background to retail and experiential environments. You are curious, collaborative, comfortable working through ambiguity, and excited to develop your craft in a fast-paced environment. RESPONSIBILITIES - Support the design and development of WHOOP retail environments, including stores, shop-in-shops, pop-ups, fixtures, displays, merchandising elements, signage, and other physical brand touchpoints. - Translate WHOOP brand principles and creative concepts into compelling spatial experiences that balance aesthetics, functionality, product storytelling, and the customer journey. - Develop architectural and spatial design concepts through sketches, plans, elevations, 3D models, renderings, material studies, and presentations. - Support space planning and layout development, considering customer flow, product interaction, merchandising, accessibility, and operational requirements. - Create and maintain design documentation that clearly communicates design intent to internal stakeholders, vendors, fabricators, and other external partners. - Partner with cross-functional teams across Retail, Brand, Creative, and Operations to understand project requirements and translate business and customer needs into physical design solutions. - Participate throughout the design process, from early concept development and design iteration through production, installation, and launch. - Assist in the research and selection of materials, finishes, furniture, fixtures, lighting, signage, and other environmental elements appropriate for WHOOP retail experiences. - Support prototype development and design reviews, incorporating feedback and helping refine solutions based on feasibility, cost, schedule, and customer experience. - Collaborate with vendors, fabricators, and external partners to communicate design requirements, review samples and prototypes, and help ensure final executions align with design intent and WHOOP quality standards. - Help develop and maintain retail design standards, guidelines, templates, and documentation that create a consistent WHOOP experience across different locations and formats. - Stay informed on trends and innovations across architecture, retail, experiential design, materials, fabrication, and consumer environments, bringing relevant ideas and inspiration back to the team. - Manage multiple projects and design deliverables simultaneously while maintaining a high level of organization, accuracy, and attention to detail. - Travel up to 10% domestically and internationally to support site visits, installations, retail openings, vendors, and project partners. QUALIFICATIONS - Master of Architecture (M.Arch) degree or BArch (Professional) required. - 0–2 years of professional, internship, or relevant project experience in architecture, retail design, experiential design, environmental design, or a related discipline. - Portfolio demonstrating strong architectural and design thinking, spatial problem-solving, visual communication, and an ability to translate concepts into compelling physical environments. - Strong understanding of architectural design fundamentals, including space planning, scale, proportion, circulation, materials, and detailing. - Proficiency with architectural design and 3D modeling, including Rhino; visualization tools, including KeyShot and Enscape; and presentation tools, including Figma. Experience with Adobe Creative Suite, including Photoshop. - Ability to develop and communicate ideas through sketches, plans, elevations, diagrams, 3D models, renderings, and presentations. - Strong visual sensibility and understanding of how materials, color, lighting, graphics, product, and architecture work together to create a cohesive physical experience. - Excellent attention to detail with the ability to produce accurate, thoughtful, and high-quality design work. - Strong written and verbal communication skills with the ability to clearly articulate design ideas and rationale to a variety of audiences. - Collaborative mindset with the ability to work effectively across creative, operational, and technical teams and incorporate feedback into the design process. - Strong organizational and time management skills with the ability to balance multiple projects, priorities, and deadlines. - Self-motivated, curious, and comfortable learning quickly and operating in a fast-paced environment. - Passion for architecture, retail and experiential design, consumer experiences, and the intersection of physical space, technology, fitness, and wellness. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $60,000 - $85,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements. Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.

Intellias is a software development and consulting company that helps businesses build digital solutions. Stack includes Node.js, NestJS, TypeScript, MongoDB, PostgreSQL, Kafka, RabbitMQ, React, AWS. Work format: Remote work or on-site in Kraków, Warsaw, Wrocław or Łódź, Poland.

The Role You will be responsible for the development and testing of a highly scalable, geo-distributed, highly performant database solution. What You’ll Do Ensure the scalability, performance, and reliability of the database system.

• Разрабатывать backend-сервисы на Python для коммуникации AI-агентов. • Создавать и поддерживать REST API.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring an Edge Algorithm Integration Engineer to join the Edge ML team and bring Sensor Intelligence algorithms from validated reference implementations to production execution on WHOOP devices. You will own the technical path from reference algorithm to edge deployment, translating and optimizing algorithms for embedded hardware, resolving cross-platform dependencies, integrating with firmware and sensor infrastructure, and ensuring implementations preserve expected algorithm performance. You will work across Sensor Intelligence, Firmware, Edge ML Platform, Mobile, Cloud, and Connectivity teams to enable algorithms to run reliably and efficiently within the compute, memory, latency, and power constraints of WHOOP devices. RESPONSIBILITIES: - Own the end-to-end technical path for porting developed and validated Sensor Intelligence algorithms from reference environments to production-ready implementations on WHOOP embedded platforms. - Translate Python, MATLAB, and other reference implementations into efficient, production-quality C/C++, optimizing signal-processing and machine-learning algorithms for compute, memory, latency, power, and real-time execution. - Understand algorithm architecture, data flow, runtime requirements, and dependencies across cloud, mobile, connectivity, sensor pipelines, libraries, and platform services; drive the technical work required to resolve or redesign dependencies for on-device execution. - Integrate algorithms with firmware, sensor pipelines, embedded services, and Edge ML platform capabilities, partnering closely with Sensor Intelligence and Firmware teams to define interfaces, requirements, acceptance criteria, and system-level behavior. - Establish functional and numerical equivalence between reference and edge implementations, profile on-device performance, and debug complex issues spanning algorithms, sensors, firmware, and embedded systems. - Build reusable tools, test harnesses, profiling infrastructure, and deployment patterns that accelerate future algorithm migrations and enable efficient portability across current and next-generation WHOOP hardware platforms. QUALIFICATIONS: - BS/MS in Computer Engineering, Electrical Engineering, Computer Science, or a related technical field, or equivalent practical experience. - Strong C/C++ software development experience with embedded, real-time, or resource-constrained systems, including an understanding of memory management, compute limitations, latency, and power constraints. - Experience porting, integrating, or optimizing signal-processing or machine-learning algorithms for MCU-based, embedded, or edge platforms, including translating implementations from Python, MATLAB, or similar reference environments. - Experience profiling and optimizing embedded software for runtime, memory footprint, computational efficiency, and/or power, with strong debugging skills across algorithm and systems boundaries. - Strong systems thinking and software integration skills, with the ability to understand complex dependencies and collaborate across algorithm, firmware, platform, and other engineering teams to drive technical issues to resolution. - Experience with one or more relevant embedded optimization technologies or techniques, such as DSP optimization, fixed-point implementation, quantization, model compression, ARM Cortex-M, DSPs, NPUs, RTOS environments, CMSIS-DSP/CMSIS-NN, or TensorFlow Lite Micro. - Experience with physiological sensing, wearable devices, time-series sensor data, low-power systems, or establishing functional and numerical equivalence between reference and embedded implementations is a plus. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

-Full-Lifecycle Ownership: Lead feature development through scoping, architecture, deployment, and iteration based on live user data. What you’ll do Full-Lifecycle Ownership: Lead feature development through scoping, architecture, deployment, and iteration based on live user data.

Задачи: — стажёрская позиция C#-разработчика в Ozon Tech для студентов технических специальностей — возможность роста в команде разработки Требования: — учёба на технической специальности бакалавриата или магистратуры — уверенное владение языком программирования на базовом уровне — умение работать с Git — понимание принципов архитектуры ПО: клиент-сервер, микросервисы, монолит — внимательность к деталям — понимание принципов чистого кода: code style, naming, Design patterns, SOLID — умение аргументированно предлагать улучшения — умение читать и анализировать логи — ответственный подход к изменениям — будет плюсом навык написания unit-тестов Условия: — гибридный формат работы в Москве — полная занятость — зарплата по договорённости

Location: Remote - Riyadh MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data. The Field Architect role at MinIO is a senior customer-facing technical position focused on defining, validating, and guiding architectures for AI, analytics, cloud-native applications, and large-scale data platforms. You will serve as a trusted technical advisor to customers, partners, and internal teams, translating business and application requirements into robust technical designs that deliver measurable outcomes. You will collaborate closely with the broader MinIO team through technical discovery, architecture design, proof-of-concept (PoC) delivery, production onboarding, performance validation, and long-term expansion. Success in this role requires hands-on expertise across the data stack, strong architecture and communication skills, and ownership of customer technical outcomes. What You Will Do: Technical Leadership & Architecture Technical Architecture and Discovery: Lead technical discovery with customers and partners to understand their business goals, data sources, application requirements, infrastructure constraints, and success criteria. Design end-to-end architectures that address those requirements. Data Platform Architecture: Design solutions across the full data stack, including ingestion and change data capture (CDC), batch and streaming pipelines, data processing, lakehouse storage and table formats, catalogs, query and analytics engines, orchestration, data quality, governance, and AI integration. Understand how these components work together and guide customers through architecture decisions and tradeoffs. AI and Analytics Workload Design: Define and validate architectures for AI/ML training and inference, analytics, lakehouse environments, high-performance data pipelines, and modern application data services. Object Storage and S3 Expertise: Serve as a subject matter expert in AIStor, object storage, S3-compatible architectures, distributed systems, replication, erasure coding, security, performance tuning, and large-scale namespace design. Customer Engagement & PoC Delivery Customer Technical Advisor: Build trusted relationships with customer technical stakeholders across data engineering, analytics, AI, infrastructure, platform, security, application, and operations teams. Guide customers toward informed architecture decisions. PoC Ownership and Delivery: Plan and conduct customer PoCs from initial scope through final technical review. Agree on success criteria, design and deploy the solution, integrate the required data stack components, build representative use cases, run functional and performance tests, troubleshoot issues, document results, and drive the PoC to a clear outcome and production plan. Customer Success Beyond the Win: Partner with Customer Engineering, Product Management, and Engineering to help customers move from PoC to production and expand adoption across additional workloads and teams. Ecosystem, Enablement & Field Operations Cloud-Native and Kubernetes Guidance: Provide technical leadership on Kubernetes, containers, automation, and deployment patterns across private, public, and hybrid cloud environments. Solution Integration: Work with customer teams and technology partners to integrate data sources, ingestion and streaming tools, processing and analytics engines, AI platforms, identity systems, observability tools, and infrastructure components. Technical Presentations and Enablement: Deliver architecture presentations, whiteboard sessions, demonstrations, workshops, and technical enablement for customers, partners, and internal teams. RFP, RFI, and Technical Response Support: Lead or contribute to technical responses covering the full data platform, including architecture, integrations, security, scalability, performance, and operational requirements. Product Intelligence & Market Expertise Product and Engineering Feedback: Capture customer requirements, PoC findings, integration needs, and field feedback. Work with Product and Engineering teams to resolve gaps and inform priorities. Competitive and Market Expertise: Stay current on object storage, data lakehouse, AI infrastructure, analytics, Kubernetes, cloud, and competing data platforms. Explain technical differentiation in the context of customer use cases. Your Skills and Experience: 10+ years of experience in a senior customer-facing technical role such as Field Architect, Solutions Architect, Sales Engineer, Systems Engineer, or Technical Consultant. Hands-on experience designing, integrating, and troubleshooting end-to-end data platforms. This should include several of the following: ingestion, CDC, batch and streaming processing, lakehouse architecture, catalogs, query engines, orchestration, data quality, governance, and AI/analytics workloads. Demonstrated experience leading customer PoCs, including defining success criteria, deploying and integrating components, validating functionality and performance, resolving technical issues, and presenting results. Strong understanding of object storage and S3-compatible architectures, including security, replication, data protection, performance, and scale-out design. Hands-on experience with Linux, networking, storage systems, containers, Kubernetes, and modern data center infrastructure. Practical experience with relevant data stack technologies, such as Kafka, Debezium, NiFi, Spark, Flink, Trino, Starburst, Iceberg, Delta Lake, or data catalogs. Experience with every listed technology is not required. Experience designing or supporting AI, machine learning, analytics, lakehouse, or large-scale data pipeline environments. Experience with public and hybrid cloud environments, including AWS, Azure, GCP, OCI, or private cloud platforms. Ability to lead technical discovery, design architectures, build demonstrations, analyze performance, troubleshoot integrations, and communicate tradeoffs clearly. Strong verbal, written, whiteboarding, and presentation skills, with the ability to communicate with both technical and executive audiences. Ability to work collaboratively across customers, partners, Sales, Product, Engineering, and Customer Engineering teams. Strong customer-success orientation, intellectual curiosity, sense of ownership, and ability to prioritize effectively in a fast-moving environment. Willingness to travel as needed to support customers, partners, field events, and internal team activities. Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field; equivalent practical experience will also be considered. Equal Opportunity Policy (EEO) MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Чем предстоит заниматься: Провести глубокий аудит: найти точки утечки денег, неэффективные процессы и «слабые звенья» в к... Чем предстоит заниматься: Провести глубокий аудит: найти точки утечки денег, неэффективные процессы и «слабые звенья» в команде.

Job description.

Location: Remote - US Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Software Engineer, Platform Access (L2). About the job This position is an engineering role within Twilio’s Cloud Native Foundations Team, suited to an engineer focused on identity, governance, and automated access control across multi-cloud environments. Our team manages identity federation, least-privilege access, and automated provisioning for hundreds of accounts across Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). As an L2 engineer, you will help design, build, and operate access controls and platform security tools at scale. You'll get hands-on with multi-cloud IAM, contribute to Terraform-based infrastructure automation, and write code to ensure secure, seamless developer access—using modern AI-assisted tooling to move faster and ramp up your skills. Responsibilities In this role, you’ll: WEAR THE CUSTOMER'S SHOES: Help design, build, and operate automations and access tools that streamline developer workflows while keeping multi-cloud environments secure. Work with security and technical leadership to turn well-scoped tasks into working code. BE AN OWNER (CODE QUALITY): Participate in code reviews and follow established patterns, testing standards and policy-as-code frameworks across the platform. BE AN OWNER (INFRASTRUCTURE & OBSERVABILITY): Support multi-cloud access infrastructure spanning AWS, Azure, and GCP accounts using Infrastructure as Code (Terraform). Help maintain least-privilege IAM policies, identity federation, role provisioning, and automated lifecycle workflows across hundreds of cloud accounts. Help maintain observability coverage, including metrics, alerts, and basic distributed tracing, across core data pipelines. CHAMPION ENGINEERING HEALTH: Build awareness of secure architectural practices and IAM best practices. Flag access drift, technical debt, security vulnerabilities, and platform issues to your team as you encounter them. GROW AND COLLABORATE: Actively seek feedback and mentorship from senior engineers, participate in sprint planning, and share what you learn with peers as you grow into a more senior role. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Experience: 1–2+ years of professional software engineering or DevOps/Platform engineering experience, with practical exposure to multi-cloud environments, Identity & Access Management (IAM), or platform automation. Modern Development Workflow: Practical experience with, or a strong desire to learn, AI-assisted development tools (e.g., Claude Code, GitHub Copilot) to help write code, automate testing, and support debugging workflows. Infrastructure as Code & Automation: Practical experience or familiarity with Terraform, Harness, or similar IaC tools to manage cloud resources and access permissions programmatically. Multi-Cloud Infrastructure: Experience with cloud environments, including basic exposure to account management, IAM permissions, or core services in at least one major provider— AWS (e.g., IAM, Organizations, SSO/Identity Center), Microsoft Azure (e.g., Microsoft Entra ID/Azure AD, RBAC, Subscriptions), or Google Cloud Platform (GCP) (e.g., Cloud IAM, Workload Identity, Projects). General familiarity with multi-account/multi-project cloud architecture is a plus. Language Proficiency: Working knowledge of at least one of Shell, Terraform, YAML, or Go (Golang), with a willingness to build proficiency across the rest. Security & Governance Mindset: Solid understanding of core security concepts (authentication, authorization, least-privilege principles, secrets management) and an eagerness to build self-service, developer-friendly platform tooling. Desired: Familiarity with centralized identity federation, SAML, OIDC, or Okta integration with cloud service providers. Hands-on experience with containerized workloads ( Docker , Kubernetes ) or managing access to Kubernetes clusters (EKS/AKS/GKE RBAC). Interest in automated cloud governance tools, account vending machines, or identity lifecycle management at scale. Coursework or personal projects involving distributed systems, cloud security, or API development. Enthusiasm for working across multi-cloud environments and expanding hands-on depth across AWS, Azure, and GCP over time. Location This role will be remote, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $116,960.00 - $146,200.00 Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): 123,760.00-154,700.00 Based in the San Francisco Bay area, California: 137,520.00-171,900.00. This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Applications for this role are intended to be accepted until 10/31/2026  but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: Baku Workplace: onsite ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Why This Role Exists Xsolla is going all-in on becoming an AI-first company, and we're not waiting for a slow rollout to get there. We're offering AI Engineer Internships in regions across the globe to help drive that shift directly, not by sitting in the back office, but by building. You'll work on two things: Internal AI initiatives – helping unlock AI tooling and integrations across Xsolla faster than our existing teams can alone. Proof-of-concept builds on our own APIs – showing our product and engineering teams what's possible when you build with AI as a core part of your workflow, not an afterthought. This isn't a shadow-and-observe internship. You'll ship code that goes to customers – internal teams or external players and game developers – working closely with senior engineers and fellow interns across our global regions. Who You'll Work With You won't be isolated on an intern-only project island. You'll work closely with senior engineers who are actively rebuilding how we write software, and you'll be part of a global cohort of interns building in parallel across our regions. That combination is the point: senior engineers give you a bar for what production-grade, customer-facing code looks like, and your fellow interns give you a peer group to trade ideas, code, and AI workflows every week. What You'll Do Partner and collaborate with senior engineers to identify where AI tooling and integrations can remove friction, and build the fix. Build applications and integrations on top of Xsolla's APIs and SDKs that show internal teams how to move faster using AI-assisted development. Ship work that matters. What you build is expected to reach real users – whether that's an internal tool an engineering team adopts or a customer-facing integration – not a throwaway exercise that gets shelved after your internship ends. Use agentic coding tools (Claude Code, Cursor, or similar) as your default way of working – not a novelty you reach for occasionally. Share what you build. We run weekly 30-second lightning-talk demos where everyone shows how they used AI to solve something that week – you'll be expected to bring something real. Work with minimal process. You'll get context, a problem, and a mentor – the rest is on you to figure out and build. Learn from and collaborate with both directions: senior engineers who'll mentor you on production-grade practices, and fellow interns across markets you'll trade ideas and code with at the weekly demos. What We're Looking For You build things because you want to, and that you already use AI to do it faster. Genuine passion for building. You have side projects, hackathon entries, open-source contributions, or something you shipped just because you were curious. You didn't need an assignment to make it happen. Real AI fluency. You've actually used tools like Claude Code, Cursor, Copilot, or similar agentic coding tools to build something – not just asked ChatGPT to explain a concept. You should be able to explain how you used AI to get there and how you confirmed it actually worked – not someone who fires off a prompt and hopes for the best. Bias toward action. Given an ambiguous problem, you start building before you ask for a spec. Comfort with developing modern full-stack solutions – we care more about how fast you learn than what you already know cold. Open to current graduate students and recent graduates of a Computer Science, Software Engineering, or related program . How to Apply Please include: A link to a GitHub profile, deployed project, or anything else you've built – the more recent and self-directed, the better. A short answer (2-3 sentences, or a 2-minute video/Loom if you'd rather show than tell) to: “What's something hard you built recently, and why did you build it?” We're not grading for correctness or polish. We're looking for whether you have a real answer, and whether it's clear you actually did the work yourself (with AI as your tool, not your ghostwriter). Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.   Criminal History Consideration: For the AI-First Engineering Intern, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification   Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements     Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.

Key requirements: strong understanding of any Python/Java/.NET language.

Key requirements: — .NET — Node.js/TypeScript — Kafka/RabbitMQ — NoSQL databases like Cassandra or MongoDB — Cloud infrastructure Location: — On-site in Porto, Portugal