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Location: Lugano Workplace: OnSite Blockstream https://blockstream.com/ was founded in 2014 by Dr. Adam Back https://en.wikipedia.org/wiki/Adam_Back and a group of fellow cryptographers and engineers who are passionate about Bitcoin and its potential to change the world. Today, Blockstream is the leading Bitcoin company, providing cutting-edge infrastructure solutions for enterprises, institutions, and individual Bitcoin users. We develop industry-leading Bitcoin self-custody solutions, Bitcoin-based financial products, second-layer scaling technologies, and enterprise-grade blockchain infrastructure. We are seeking a Junior Solutions Architect with strong technical aptitude and an eagerness to learn, who will support the team in designing and building secure, scalable blockchain and digital asset solutions for enterprise and institutional clients. This role supports the end-to-end architecture process, from assisting with initial design through documentation and deployment, ensuring solutions adhere to technical best practices for distributed systems, cryptography, and financial services integration. Within the Service & Enterprise Solutions organization, the Junior Solutions Architect works closely with Solutions Architects, Delivery, Engineering, Product, and Client teams. This role will assist in translating business requirements into robust technical architectures and will gain hands-on experience in ensuring that blockchain solutions are secure, scalable, and operationally sound for banking and institutional environments. What You'll Be Doing (Responsibilities): - 3-5 years architecture experience, technical aptitude, eager to learn - Design and deliver end-to-end blockchain and digital asset solutions for banking, custody, payments, and treasury management use cases - Architect secure, scalable platforms that integrate blockchain infrastructure with core banking and financial systems - Define technical architecture including API design, data flows, event-driven systems, and integration patterns - Make platform-level design decisions on deployment models (cloud, hybrid, on-premise), consensus mechanisms, and security protocols - Evaluate and select appropriate blockchain platforms, protocols, and tools based on client requirements and technical feasibility - Ensure solutions adhere to cryptographic security standards, regulatory compliance requirements, and industry best practices - Collaborate with delivery teams, developers, and DevOps engineers to ensure architectures are buildable, testable, and operable - Create and maintain technical documentation including architecture diagrams, system specifications, and integration guides - Identify and escalate architectural risks, technical dependencies, and performance bottlenecks - Mentor junior architects and developers on architectural patterns, blockchain best practices, and secure coding principles What We Look for In You (Required Qualifications): - 5-10 years of experience in solution architecture, platform engineering, or enterprise system implementation - Strong understanding of blockchain technology, distributed systems, and cryptographic principles - Experience designing multi-system platforms in regulated financial services environments - Hands-on experience with cloud platforms (AWS, Azure, or GCP) and modern deployment practices - Deep expertise in API-based architectures, microservices, and event-driven systems - Strong knowledge of security protocols, encryption, authentication, and authorization mechanisms - Understanding of DevOps practices, CI/CD pipelines, and infrastructure-as-code - Excellent communication skills with ability to present complex technical concepts to both technical and business stakeholders - Self-starter with proven ability to work collaboratively across multiple teams and geographies, demonstrating high-quality and high-touch customer engagement throughout all phases of delivery - Languages: Swiss German, German, and English required; French and/or Italian a plus - Location: Switzerland, with focus on Zurich, Zug, Lugano Nice To Haves (Preferred Qualifications): - Hands-on experience with blockchain platforms (Bitcoin, Ethereum, Hyperledger, or similar) - Knowledge of smart contract development and decentralized application (DApp) architecture - Experience with digital asset custody, tokenization, or crypto payment systems - Understanding of DeFi protocols, stablecoins, and Layer-2 scaling solutions - Familiarity with regulatory frameworks for digital assets (MiCA, AML/KYC, securities regulations) - Experience integrating blockchain with core banking systems, payments platforms, or treasury management systems - Programming proficiency in languages like Python, Go, Rust, Java, or Solidity - Blockchain certifications (Certified Blockchain Architect, Hyperledger, or similar) - Experience with Kubernetes, Docker, and container orchestration - Interest in progressing into Principal Architect or technical leadership roles Blockstream https://blockstream.com/ was founded in 2014 by Dr. Adam Back https://en.wikipedia.org/wiki/Adam_Back and a group of fellow cryptographers and engineers who are passionate about Bitcoin and its potential to change the world. Today, Blockstream is the leading Bitcoin company, providing cutting-edge infrastructure solutions for enterprises, institutions, and individual Bitcoin users. We develop industry-leading Bitcoin self-custody solutions, Bitcoin-based financial products, second-layer scaling technologies, and enterprise-grade blockchain infrastructure.

Задачи: — Разработка и проектирование backend на Python с FastAPI и Django — Разбираться с legacy-сервисами (рефакторинг и распил на микросервисы — 50% времени) — Писать новые фичи (другая 50%) — Проектировать архитектуру — Проводить code review Требования к кандидату: — 5+ лет в backend на Python, уверенное владение Django (DRF) и FastAPI — Опыт проектирования REST API, WebSocket/SSE — Знание async/многопоточности (asyncio/gevent, Celery) — Работа с блокировками/транзакциями, архитектурой данных (нормализация/денормализация) — Глубокое SQL (PostgreSQL/ClickHouse: индексы, партиционирование, views) — Опыт с SQLAlchemy, S3, Redis/RabbitMQ/Celery — Docker, Git, CI/CD (GitLab), приёмочные тесты (pytest) — Понимание микросервисной архитектуры, интеграций (API, брокеры, cron) — Будет плюсом: Настройка серверов (nginx/apache), базовый JS/TS/HTML/CSS (для понимания фронта), Kubernetes, Kafka Условия: — Оформление по ТК РФ — Полная занятость (full-time) — Работа в удаленном формате (MSK timezone)

Location: Singapore About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Note: We are only considering applications from candidates currently based in Singapore. Responsibilities We are hiring a Senior Infrastructure Engineer to join our Global Core Infrastructure team in conjunction with the Workato AI Lab in Singapore. You will work closely with engineers in Singapore, US and across international teams to design, scale, and secure the systems that power Workato’s automation platform - trusted by thousands of enterprises and processing billions of events every day. As a Senior Infrastructure Engineer, you’ll be part of the team responsible for the architecture, scalability, and reliability of Workato’s distributed cloud platform. You’ll design and optimize the systems that allow our services to run securely and efficiently at scale. This is a highly technical role that requires deep experience with cloud infrastructure, Linux internals, and large-scale distributed systems. In this role, y ou will also be responsible to: Design, build, and maintain a global, distributed, and resilient cloud infrastructure. Collaborate with US-based engineering teams to plan and deliver complex platform initiatives. Patch and optimize open-source components for performance and security. Develop low-level internal services using Linux syscalls and networking primitives. Manage and provision AWS infrastructure using Terraform and Kubernetes. Write and maintain Kubernetes manifests and deployment configurations for critical workloads. Improve and maintain CI/CD pipelines for scalable and secure component delivery. Tune Linux systems and open-source software for high performance and hardened security. Build internal tools to streamline engineering workflows and operational automation. Participate in architecture reviews, incident response, and performance analysis to ensure system reliability. Requirements Qualifications / Experience / Technical Skills 5+ years of experience in infrastructure or systems engineering roles. Proven expertise in distributed systems and cloud-native architectures. Strong understanding of Linux internals, including networking and system-level performance tuning. Experience operating infrastructure on AWS at scale. Proficiency with Terraform, Kubernetes. Solid understanding of network security and cloud security best practices. Hands-on experience optimizing CI/CD workflows and automating deployments. Excellent analytical, troubleshooting, and communication skills. Nice to Have Experience with Golang for tooling or internal services. Familiarity with Kafka, Redis, ClickHouse, PostgreSQL, or similar technologies. Experience with observability tools such as Grafana, Prometheus, or VictoriaMetrics. Understanding of Vault or other secrets management systems. Contributions to or maintenance of open-source infrastructure projects. Tech Stack AWS • Terraform • Kubernetes • Docker • Linux • Golang • ArgoCD • Kafka • PostgreSQL Redis • ClickHouse • Grafana • VictoriaMetrics • Vault (REQ ID: 2437)

Задачи: — Помощь в запуске нового международного продукта. Требования: — Опыт в iGaming 6+ лет коммерческой разработки. — Практический опыт вывода систем в production: релизы, инциденты, улучшение SLO. — Сильный Node.js/TypeScript, микросервисы (Express/Moleculer), проектирование API и контрактов. — Глубокий PostgreSQL: индексы, оптимизация, транзакции, миграции, бэкапы/восстановление. — CI/CD (GitHub Actions/Cloud Build и аналоги), контейнеризация, базовые практики безопасности. — Наблюдаемость: метрики/логи/трейсы, алертинг, дашборды. — Коммуникации и лидерство: постановка задач, code review, менторство, работа с продуктом. — Будет плюсом: Kubernetes, IaC (Terraform), GitOps (ArgoCD/Flux), OpenTelemetry end-to-end, Sentry, Grafana/Loki, Vue 3, Vite, Storybook. Условия: — Полная удалёнка, фуллтайм. — Большое влияние на архитектуру, минимум микроменеджмента. — Перспектива роста вместе с командой и проектом.

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 Anthropic's Infrastructure organization is the engine that powers our mission. Every breakthrough in AI safety research and every interaction users have with Claude depends on the systems we build and operate: massive clusters for training frontier models, production infrastructure serving millions of users reliably, and developer platforms that help engineers move fast without breaking things. As a Technical Program Manager for Infrastructure, you’ll work across multiple infrastructure domains to coordinate complex programs that have broad organizational impact. You’ll be solving novel scaling challenges at the frontier of what's possible, all while maintaining the security and reliability our mission demands. This role is ideal for someone who thrives in ambiguity and believes their job is to make everyone around them more effective. You’ll partner closely with engineering leadership to drive strategic initiatives while ensuring seamless coordination between research, engineering, and product teams. What you’ll do: Developer Productivity & Tooling Drive cross-functional programs to improve developer environments, CI/CD infrastructure, and release processes that enable rapid innovation while maintaining high security standards Coordinate large-scale migrations and platform modernization efforts across engineering teams Partner with teams to measure and improve developer productivity metrics, identifying bottlenecks and driving systematic improvements Lead initiatives to integrate AI tools into development workflows, helping Anthropic be at the forefront of AI-assisted research and engineering Infrastructure Reliability & Operations Drive programs to establish and achieve reliability targets across training infrastructure and production services Coordinate incident response improvements, post-mortem processes, and on-call rotations that help teams operate effectively Establish metrics and dashboards to track infrastructure health, capacity utilization, and operational excellence Cross-functional Coordination Serve as the critical bridge between infrastructure teams, research, and product, translating technical complexities into clear updates for a variety of audiences Consult with stakeholders to deeply understand infrastructure, data, and compute needs, identifying solutions to support frontier research and product development Drive alignment on priorities and timelines across teams with competing constraints You May Be a Good Fit If You Have 5+ years of technical program management experience, with a track record of successfully delivering complex infrastructure programs in ML/AI systems or large-scale distributed systems Have deep technical understanding of infrastructure systems—enough to engage substantively with engineers, identify technical risks, and add value beyond project tracking Excel at creating structure and processes in ambiguous environments, bringing clarity to complex cross-team initiatives Have strong stakeholder management skills and can build trust with both technical and non-technical partners Are comfortable navigating competing priorities and using data to drive technical decisions Have experience with developer productivity initiatives, CI/CD systems, or infrastructure scaling Thrive in fast-paced environments and can balance strategic planning with tactical execution Are obsessed with reliability, scalability, security, and continuous improvement Have a passion for supporting internal partners like research to understand their unique needs Are passionate about AI infrastructure and understand the unique challenges of building and operating systems at frontier scale Experience with Kubernetes, cloud platforms (AWS, GCP, Azure), and ML infrastructure (GPU/TPU/Trainium clusters) Background working with research teams and translating their needs into concrete technical requirements Experience driving adoption of AI tools to improve engineering productivity Familiarity with observability tooling and practices Deadline to Apply: None, applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 — $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Belfast, Northern Ireland, Remote Workplace: remote Olo is a leading SaaS platform accelerating digital transformation in the restaurant industry, by helping customers deliver more personalised and profitable guest experiences. As a result, our digital ordering, payment, and guest engagement solutions enable hospitality at scale, helping brands to do more with less, and making every guest feel like a regular.   While our roots are in NYC, we’re intentionally investing in Belfast and Northern Ireland as a key hub, with an established leadership presence, a local team, and community for the long term. This role is fully remote, offering you flexibility to work from anywhere within NI.   Your new role We are looking for an experienced Senior Software Engineer to join our Payments Web Team and help drive innovation in our payment solutions. We are looking for an engineer who is passionate about creating seamless, user-friendly interfaces and front-end capabilities that empower restaurants to manage their payment operations efficiently. This role leans more heavily towards Front-End development but you can expect to work end-to-end across the full tech stack at times. Reporting to the Engineering Manager, you will play a crucial role in developing and enhancing our payment product, Olo Pay. Engineers in this role will write code adhering to established standards, participate in code reviews and sprint ceremonies with the expectation to focus on quality, collaboration, and learning. How You'll Make an Impact Demonstrate proficiency in the team's domain and technology stack, providing guidance and mentorship to junior engineers and contributing to technical decision-making. Proactively address technical debt by prioritising its resolution alongside feature development, ensuring maintainable, scalable, and high-quality codebases through regular refactoring and system improvements. Take ownership of complex features and projects, working independently and collaborating with team members to drive development from concept to delivery. Lead code reviews, set quality standards, and offer in-depth feedback to improve code quality across the team. Partner with Product and other stakeholders to refine requirements, ensuring solutions are well-architected and aligned with business goals. Focus on delivering reliable, maintainable software solutions and actively implements performance optimisations and resilience mechanisms. Monitor and maintain services in production, diagnosing and resolving critical issues efficiently with minimal support. Participate in the architecture and design of distributed systems, ensuring best practices are followed for reliability and scalability. Take the initiative to improve the team's development processes and tooling, advocating for best practices and automation improvements. Ensure consistency and quality in shared components and APIs. Contribute actively to the team's knowledge base, lead learning sessions, and promote a culture of continuous improvement. Use Claude Code extensively as part of your daily workflow, and grow your skills through hands-on AI training designed to help you become highly effective with modern AI coding agents and IDEs. Demonstrate ownership of the team's delivery pipeline, ensuring that code quality, testing standards, and deployment practices are continuously optimised. Active participation in on-call duties is required, with specific responsibilities determined by your assigned team and area of expertise. What Will Set You Up for Success Bachelor’s Degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience. 5+ years of experience in software engineering. Advanced Programming Skills: Proficient in TypeScript and React and capable of independently designing and implementing complex algorithms and architectures. Additional experience in .NET/C# is beneficial. CI/CD Mastery: Skilled in managing and improving CI/CD processes, with hands-on experience using tools like GitHub Actions, TeamCity, and Octopus Deploy. Testing and Automation: Expert in unit, integration, and end-to-end testing practices, with a strong emphasis on automation for testing and deployment. Distributed Systems and Cloud Services: Strong knowledge of building and maintaining distributed systems, leveraging cloud platforms and services (e.g., AWS, MongoDB Atlas, Kubernetes/EKS). Technical Leadership and Collaboration: Demonstrate leadership skills by mentoring peers, leading technical discussions, and collaborating effectively across teams and departments to deliver solutions aligned with business priorities. About Olo   Olo is a leading restaurant technology provider with ordering, payment, and guest engagement solutions that help brands increase orders, streamline operations, and improve the guest experience. Each day, Olo processes millions of orders on its open SaaS platform, gathering the right data from each touchpoint into a single source—so restaurants can better understand and better serve every guest on every channel, every time. Over 800 restaurant brands trust Olo and its network of more than 400 integration partners to innovate on behalf of the restaurant community, accelerating technology’s positive impact and creating a world where every restaurant guest feels like a regular. Learn more at olo.com.   Applicant Privacy Notice (United Kingdom)

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! The Build Systems team within Figma’s Developer Experience organization owns Figma’s build and CI infrastructure, enabling engineers to ship changes to production quickly and safely. We build and operate core platforms across our polyglot monorepo, including build systems, artifact repositories, merge queues, test frameworks, and CI pipelines. We’re looking for an experienced technical leader to help shape these platforms, uplevel the team, and deliver high-impact platforms that accelerate engineering velocity. The ideal candidate has deep experience with large monolithic codebases, builds durable and scalable systems, and is motivated by solving high-leverage problems that amplify productivity across the engineering organization. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Drive technical roadmap and strategy for the Build Systems team Partner with cross-functional teams and leadership to identify developer pain points and design elegant, scalable solutions Lead complex, multi-quarter initiatives reducing build/test times and improving CI reliability, all while balancing technical excellence with pragmatic delivery Design, build, and maintain modern developer tools including scalable build systems, distributed CI platforms, and test frameworks that serve thousands of engineers Architect and implement large-scale infrastructure on AWS that powers our entire build pipeline to ensure reliability, performance, and cost-efficiency Mentor and uplevel the team through technical guidance, code reviews, and architectural leadership, leading by example and actively investing in your teammates’ growth Collaborate with product engineers (your customers), infrastructure teams, and executive stakeholders, and communicate technical decisions clearly to audiences ranging from individual contributors to senior leadership Keep up to date with industry trends and best practices in build systems, CI, and developer tooling, and incorporate applicable technologies into our roadmap We’d love to hear from you if you have: 5+ years of engineering experience, including 4+ years on Infrastructure, Platform, or Developer Experience teams Deep expertise in build systems (e.g., Bazel, Buck, Pants, Gradle) and operating large-scale monorepos Experience optimizing CI/CD, building developer tooling at scale, and designing reliable, high-performance distributed systems Hands-on experience with AWS, CI platforms (e.g., Buildkite), Infrastructure as Code, and strong coding skills in languages such as Go, TypeScript, Python, or Ruby Proven technical leadership, with a track record of setting technical direction, driving cross-team initiatives, and communicating effectively across a wide range of stakeholders While it’s not required, it’s an added plus if you also have: Experience migrating large codebases to modern build systems (especially Bazel) Experience building test frameworks and improving test infrastructure Have excellent problem-solving skills, using a systematic and thorough approach grounded in first principles, with a bias for action and a strong focus on impact You’re willing to work on grungy problems when they have a high impact on the business or the health of our platform Care deeply about the quality of the software and systems you build, with an artisan mentality and a constant drive to improve your craft, while striking the right balance between idealism and pragmatism Finally, Figma is a close-knit company with a strong culture that promotes inclusivity and collaboration, taking ambitious goals and having fun doing so. You deeply value these traits and see yourself actively contributing to it Experience using AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, Claude) to write, debug, and optimize code At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $185,000 — $376,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: Remote - United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is looking for a Site Reliability Engineer in Hardware Infrastructure team. This is a remote position for the United States. Hardware Infrastructure team designs, develops and supports systems involved in the data-centers lifecycle: Serving functional and load testing system. Monitoring of engineering equipment located in our data centers (power supply, air and water cooling, etc.) Monitoring of IT equipment: racks, servers, JBODs, JBOGs, power shelves, network devices, etc. Asset tracking. Hardware repairs tasks tracking. Server production. In this position, your responsibility will be to : Ensure fault-tolerance, scale and uninterrupted operations for our services. Use cutting-edge technology to solve a variety of infrastructure problems. Implement and improve CI/CD processes. We expect you to have : Proficiency in Linux systems, with expertise in Python and Bash scripting for automation. Demonstrated ability to troubleshoot complex system issues, including hardware, software and networking problems. Strong analytical and problem-solving skills, with a focus on optimizing system performance. Working proficiency in English. It would be an added bonus if you had : Desire to be involved in backend development. Experience designing, developing and running high-load distributed systems. Working conditions: Primarily remote Occasional travel to data centers required, especially if not located near one Collaboration with globally distributed engineering and operations teams Key employee benefits: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families 401(k) plan: up to 4% company match with immediate vesting Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers Remote work reimbursement: up to $85/month for mobile and internet Disability & life insurance: company-paid short-term, long-term, and life insurance coverage Compensation We offer competitive salaries, ranging from $130k- $180k base + quarterly performance bonuses. Join Nebius and help operate the systems that power next-generation AI infrastructure. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Salt Lake City, Utah, United States About the Role iCapital is looking to a hire a Vice President to join the Platform Infrastructure team. This team plays a critical role in keeping the production and development environments running smoothly and securely.  This role will utilize advanced cloud capabilities to facilitate Platform Infrastructure strategy of market agility and lean operating principles with a strict focus on quality to meet the ever-growing demands of clients. The ideal candidate is highly collaborative, creative, intellectually curious and passionate about forming and implementing cutting-edge cloud computing capabilities. As a Platform Engineer, this individual will be wearing multiple hats in a highly visible role interacting with all aspects of the business. Responsibilities Build highly available solutions across the entire SDLC stack with a primary focus on an internet facing fintech site. Coordinate the relationship between the Platform Infrastructure team and the Information Security Team in remediating security issues related to platforms, CI/CD pipelines, or development tools. Contribute to security best practices for shifting security left and establishing a strong security culture within the DevOps and Platform Infrastructure team. Develop and maintain tools to support the development environment on MacOS and Linux tool environment with focus on improving developer productivity. Maintain site reliability with a focus on building highly scalable systems integrating resiliency and high availability at all levels. Develop software and tooling to secure and automate cloud infrastructure building software delivery capabilities with fully automatic workflows. Design and operate a Kubernetes environment for container management and orchestration. Qualifications 6+ years of DevOps or SRE experience with 4+ years of AWS experience 6+ years of CI/CD pipeline development in GitLab, GitHub, or similar frameworks 3+ years of experience with security best practices in AWS, including remediating SecurityHub findings 3+ years of experience with DevSecOps tools, including SAST tools, DAST tools, and SCA tools Microservices (Docker, Kubernetes) experience in a production environment is strongly desired Strong Linux OS-level and command-line and scripting knowledge and configuration management principles Working knowledge of databases such as MongoDB, Postgres, and DynamoDB Coding beyond simple scripting with strong opinions on maintainable and reusable code in Python, Ruby or Java is desired Experience with computer provisioning on a Cloud based platform using Terraform or Cloud formation Exceptional analytical skills and able to apply knowledge and experience in decision-making to arrive at creative and commercial solutions Experience building a Microservice based architecture Strong written and verbal communication skills Able to design and implement complex, but easily managed, automated infrastructure A desire to share, teach and learn as part of a team Expert level knowledge of networking Experience with distributed systems design, maintenance, and hands-on troubleshooting Experience with debugging issues with the FIX protocol to include maintaining and establishing fix sessions and or session management + order routing Experience in system tuning and performance testing AWS certifications are a plus Benefits The base salary range for this role is $150,000 to $170,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: Remote - United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius operates large-scale, mission-critical bare-metal infrastructure. As a Software Engineer (Python), you will design and build systems that provision, configure, test, and manage physical hardware at scale. Your work will sit close to the metal—interfacing directly with servers, networks, and management controllers—while supporting highly automated, reliable infrastructure operations. You will collaborate closely with hardware, networking, and data center operations teams to ensure our platforms are robust, scalable, and production ready. Your responsibilities will include: Design and develop backend services and automation in Python Build and maintain systems for hardware provisioning, testing, and lifecycle management Develop software that runs directly on bare-metal environments Integrate with Linux systems, using Bash and low-level tooling where needed Implement and maintain CI/CD pipelines for infrastructure-focused software Work with networking services including IPv4/IPv6, DHCP, DNS, network boot, and server boot workflows Interface with BMC controllers and management protocols (IPMI-style protocols, HTTP-based standards) Enable reliable hardware interaction and automation across large fleets Support ARM64 / ARM64EC architectures Design and integrate NoSQL data stores for system state and orchestration data Write clear documentation and contribute to operational excellence What we expect you to have: Strong professional experience as a software engineer, with a focus on Python Solid experience with Linux systems and shell scripting Hands-on experience working with bare-metal servers or low-level infrastructure Strong understanding of networking fundamentals (IPv4/IPv6, DHCP, DNS, PXE / network boot) Experience interacting with hardware management interfaces (BMC, IPMI-like protocols, HTTP APIs) Familiarity with CI/CD systems and production deployment workflows Experience designing or working with NoSQL databases Ability to debug complex issues spanning software, hardware, and networks Strong ownership mindset and clear communication skills in a distributed team It will be an added bonus if you have: Experience operating or building systems for large-scale infrastructure Familiarity with ARM-based platforms in production environments Background in hardware testing, validation, or factory provisioning Experience with infrastructure automation or internal platform tooling Contributions to open-source or internal systems software projects Working conditions: Fully remote position (United States) Collaboration with globally distributed engineering and operations teams Key employee benefits: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families 401(k) plan: up to 4% company match with immediate vesting Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers Remote work reimbursement: up to $85/month for mobile and internet Disability & life insurance: company-paid short-term, long-term, and life insurance coverage Compensation We offer competitive salaries, ranging from $150k- $210k base equity + quarterly performance bonuses. Join Nebius today and help build the software that powers the next generation of AI infrastructure. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Bremen, Germany Our mission Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency. With strong expertise in machine intelligence and data science, Constructor’s all-in-one platform for education and research addresses today’s pressing educational challenges: access inequality, tech clutter, and low engagement of students. Please send your resume in English only. Interns are NOT eligible for equipment and other benefits as the position is temporary. About the Role We’re seeking a motivated Computer Science student to join our backend engineering team as a C# Backend Developer Intern . This is an excellent opportunity to learn backend development while working on real-world educational platforms that support learners, educators, and institutions worldwide. Interns are NOT eligible for equipment and other benefits as the position is temporary. What You’ll Learn & Do: Learn backend development using C# and .NET Contribute to real backend services used in production Assist in developing and maintaining REST APIs Work with databases and learn how data is modelled and accessed Participate in code reviews and learn clean coding best practices Collaborate with frontend, QA, and product teams Contribute to backend services supporting learning platform functionality and various integrations Gain exposure to the full software development lifecycle Required Qualifications: Current Computer Science / Software Engineering student Experience with at least one programming language (C#, Java, Python, JavaScript, C++, or similar) Basic understanding of object-oriented programming concepts Interest in backend development and distributed systems Good problem-solving skills and attention to detail Ability to work collaboratively in a team environment Eagerness to learn and grow as a software engineer Good to Have (but not required): Basic knowledge of C# and .NET Familiarity with RESTful APIs Introductory understanding of databases ( SQL or NoSQL) Experience using Git or other version control systems Basic knowledge of HTTP, JSON, and web concepts Interest in educational technology (EdTech) What We’ll Teach You: C# and modern .NET backend development Designing and implementing REST APIs Working with databases and data access layers Clean code and basic backend architecture principles Debugging, testing, and performance basics Collaboration in an Agile engineering environment How production backend systems are built and maintained Technology Stack You’ll Work With: Programming: C#, .NET 9.0 Backend: ASP.NET Core Messaging & Events: Apache Kafka Databases: PostgreSQL Tools: Git, CI/CD pipelines, logging & monitoring tools Testing: Unit and integration testing Learning Opportunities: Mentorship from experienced backend developers Exposure to scalable backend architectures Hands-on experience with real production systems Understanding how backend services support large platforms Contribution to products used by students and educators globally What We Offer For Interns: Internship Duration: from 2 months or more Type of internship: 100% remote or hybrid in the office in Bremen (GER), Sofia (BG), Belgrade (SRB), Istanbul (TR), Sakarya (TR), Singapore (SGD) What We Offer 💻 Choice of work equipment (e.g., laptop, monitor, etc.) 🇬🇧 English classes (iTalki – $130 monthly) ⏰ Flexible schedule (we usually work between 09:00/10:00 and 18:00/19:00) 👶 Newborn bonus (€500 per child) 🧠 Patent remuneration 🌴 Paid leave 🧑‍💻 Remote work in locations without our offices Hybrid work in locations with offices (2 days in-office, 3 days remote) Constructor fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board committed to building a diverse and inclusive organisation where everyone can become their best self. We do not discriminate based on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or other protected characteristics. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds. We encourage people belonging to underrepresented groups to apply.

Location: Palo Alto, California About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities You’ll lead Analytics Engineering and Product Analytics at Workato. Your team will help us understand how enterprises adopt AI and orchestration, where promising projects stall, and what changes when customers expand from one successful deployment to many. You’ll work directly with Product leadership, guide the engineers who make usage data reliable, and develop the analysts who turn that data into decisions and original industry research. What you’ll own Data strategy and delivery Set the strategy, roadmap, priorities, and capacity plan for both teams. Balance investments in shared data foundations with time-sensitive product decisions and investigations the team initiates. Define who owns product instrumentation, pipelines, datasets, metrics, and analysis. Agree with Product and Engineering on handoffs and who makes technical and analytical decisions. Turn major requests into scoped initiatives with owners, milestones, and success criteria. Resolve dependencies across Product, Engineering, Infrastructure, and Security. Bring progress, risks, and resource trade-offs to leadership early enough to act. People and organization Own hiring, onboarding, performance management, and workforce planning. Identify the skills and leadership capacity the organization needs as Workato’s portfolio grows. Set clear expectations and career paths for managers, analytics engineers, and product analysts. Give engineers ownership of architecture and reliability. Coach analysts to frame a question, challenge an assumption, and defend a recommendation with evidence. Analytics engineering and the data platform Lead the engineering work to collect, model, transform, and curate product usage data. Deliver analytics-ready datasets that connect builder activity, workspaces, customer accounts, deployments, and production workloads. Partner with senior engineers on architecture, orchestration, and tooling. Weigh scalability, maintainability, cost, and delivery speed when deciding whether to extend a data model, build a pipeline, or change the platform. Establish standards for automated testing, CI/CD, documentation, lineage, and pipeline monitoring. Give critical datasets an owner and a way to detect stale, missing, or incorrect data before it affects a decision. Product analytics and experimentation Bring analysts into roadmap discussions while options are open. Understand the choices a product leader faces, test competing explanations, and identify what evidence would change the recommendation. Define measurement during feature planning. Agree with PMs and engineers on the intended customer outcome, what telemetry to capture, who will implement it, and how to validate it before launch. Review the results after release. Measure activation, engagement, retention, and expansion. Show whether growth comes from more customers reaching production, more business processes per customer, or greater volume in existing workloads. Each finding points to a different product decision. Lead experiment design and interpretation. Define hypotheses, success metrics, and guardrails. Use funnels, cohorts, A/B tests, and holdouts where appropriate. Explain what the team can conclude when enterprise sample sizes are small. Match the analysis to the stage of the product. Identify early signs of customer value for new offerings. Forecast adoption and growth for established products. Recommend where to invest, what to change, and when to measure again. Metrics, self-service, and AI-assisted analytics Publish a shared catalog of product and business metrics. Document each metric’s definition, calculation, source, and owner. Verify that the data platform, dashboards, and reports implement it consistently. Give analysts and business teams governed datasets and reusable tools for reporting, experimentation, and advanced analysis. Make recurring questions easy to answer without a new engineering request. Develop AI-assisted analytics that can monitor metrics, investigate changes, and explain findings. Ensure answers respect access permissions and let users verify the source and calculation. Data culture and industry research Establish regular reviews where Product, Sales, and Customer Success discuss a usage pattern, decide what to do, and return to see whether it worked. Help field teams use those findings to address adoption barriers and identify expansion opportunities. Lead original research for the Workato Automation Index and industry briefings. Use aggregated usage data to examine which processes enterprises automate, who builds them, and where AI is moving into production. Test emerging trends against customer and market evidence, then partner with Marketing and Analyst Relations to publish findings the industry can use. Requirements What you bring 10+ years in analytics, data science, or a related quantitative field , including experience leading senior practitioners, developing managers, and scaling teams. Data engineering and modeling expertise. You can review SQL and architecture decisions and guide teams working with cloud warehouses, transformation frameworks, and orchestration tools such as Snowflake and dbt. Data cataloging and governance experience. You’ve used Atlan or comparable tools to document ownership and lineage, govern access, and make trusted datasets discoverable. B2B product and analytical judgment. You know how to use behavioral analysis, forecasting, experimentation, and causal inference to guide a decision. You can explain a decision your team changed and what happened afterward. Cross-functional leadership. You’ve delivered work where teams share ownership of data and infrastructure. You can resolve dependencies, negotiate priorities, and explain trade-offs to engineers and executives. Practical AI fluency. You use AI to investigate questions and verify findings. Experience building analytics agents or governed self-service data products is a plus. What success looks like Priority launches ship with validated telemetry. In post-launch reviews, PMs can show who reached the intended outcome, where adoption stalled, and what they will change. Product and field teams can answer recurring questions from shared datasets. They spend less time reconciling definitions or waiting for custom queries. Engineers own reliable data assets. Analysts spend more time investigating behavior and testing hypotheses. Both teams have clear priorities, career paths, and a leader who resolves cross-functional trade-offs. Product leaders seek the team’s perspective before committing to investments. Sales and Customer Success use its findings in customer conversations. Workato publishes original research that helps customers, partners, and analysts understand how enterprise AI and automation are evolving. (REQ ID: 2538)

Location: Pune; Bangalore Workplace: remote IDT (www.idt.net) is a communications and financial services company founded in 1990 and headquartered in New Jersey, US. Today it is an industry leader in prepaid communication and payment services and one of the world’s largest international voice carriers. We are listed on the NYSE, employ over 1800 people across 20+ countries, and have revenues in excess of $1.5 billion. We are looking for a skilled Senior Data Engineer (with AI/ML exposure)  to join our BI team and take an active role in designing, building, and maintaining the end-to-end data pipeline, architecture and design that powers our warehouse, LLM-driven applications, and AI-based BI. If you're looking for a company that will give you the maximum flexibility in choosing a location to work, this opportunity is for you!    * The interview process will be conducted in English. Responsibilities: Design, develop, and maintain scalable data pipelines to support ingestion, transformation, and delivery into centralized feature stores, model-training workflows, and real-time inference services. Design, optimize, and maintain robust ETL/ELT pipelines and data structures within our cloud data warehouse (Snowflake/Redshift) to support core Business Intelligence. Build and optimize workflows for extracting, storing, and retrieving semantic representations of unstructured data to enable advanced search and retrieval patterns. Architect and implement lightweight analytics and dashboarding solutions that deliver natural language query experience and AI-backed insights. Define and execute processes for managing prompt engineering techniques, orchestration flows, and model fine-tuning routines to power conversational interfaces. Oversee vector data stores and develop efficient indexing methodologies to support retrieval-augmented generation (RAG) workflows. Partner with data stakeholders to gather requirements for language-model initiatives and translate into scalable solutions. Create and maintain comprehensive documentation for all data processes, workflows and model deployment routines. Should be willing to stay informed and learn emerging methodologies in data engineering, MLOps and LLM operations. Requirements: Senior Data Engineer with 6-7+ years of experience in building scalable data infrastructure and 1-2 years of hands-on exposure to AI/ML workflows. Excellent English communication skills. Hands-on experience with big data technologies including Apache Spark, Hadoop, and Kafka for distributed processing and real-time data ingestion. Experience designing complex data pipelines extracting data from RDBMS, JSON, API and Flat file sources. Demonstrated skills in SQL and PLSQL programming, with advanced mastery in Business Intelligence and data warehouse methodologies, along with hands-on experience in one or more relational database systems and cloud-based database services such as Snowflake/Redshift. Effective oral and written communication skills with BI team and user community. Demonstrated experience in utilizing python for data engineering tasks, including transformation, advanced data manipulation, and large-scale data processing. Deep understanding of vector databases and RAG architectures, and how they drive semantic retrieval workflows. Skilled at integrating open-source LLM frameworks into data engineering workflows for end-to-end model training, customization, and scalable inference. Experience with cloud platforms like AWS or Azure Machine Learning for managed LLM deployments. Understanding of software engineering principles and skills working on Unix/Linux/Windows Operating systems, and experience with Agile methodologies. Proficiency in version control systems, with experience in managing code repositories, branching, merging, and collaborating within a distributed development environment. Interest in business operations and comprehensive understanding of how robust BI systems drive corporate profitability by enabling data-driven decision-making and strategic insights. Pluses: Experience with vector databases such as DataStax AstraDB, and developing LLM-powered applications using popular open source frameworks like LangChain and LlamaIndex–including prompt engineering, retrieval-augmented generation (RAG), and orchestration of intelligent workflows. Familiarity with evaluating and integrating open-source LLM frameworks–such as Hugging Face Transformers/LLaMA-4 across end-to-end workflows, including fine-tuning and inference optimization. Knowledge of MLOps tooling and CI/CD pipelines to manage model versioning and automated deployments. What we offer: Remote work opportunity! B2B Employment ($, gross) or full-time employment option. Stable job with long-term growth perspective. Competitive salary with annual performance review. Really good hardware. An exciting and challenging job with talented people around. Continuous learning and career growth opportunities. Compensation for professional training, seminars, and conferences. Referral program – get rewarded for helping us grow the team with talented people. Company-supported English classes to enhance your professional growth. Please attach CV in English. The interview process will be conducted in English.   Only accepting applicants from INDIA

Задачи: — Лидирование команды разработчиков и QA (10+ человек). — Разработка архитектуры высоконагруженных систем. — Внедрение и использование AI-инноваций (мониторинг новых технологий, их интеграция). — Проведение code review, установление стандартов разработки. — Hands-on участие в разработке, устранение блокеров. — Найм, онбординг и удержание талантов. — Системное ведение проектной документации (Jira, канбан). — Взаимодействие с PM, DevOps и ML-командами. — Фокусировка на product-thinking, метриках, пользовательском опыте и качестве. Требования: — Опыт работы в разработке от 8 лет (fullstack JS, backend/frontend/DevOps). — Опыт лидирования команд от 5 лет (10+ человек) без микроменеджмента. — Экспертиза в разработке высоконагруженных архитектур. — Глубокое понимание и практический опыт работы с AI (LLM infra, fine-tuning, RAG, embeddings, vector DBs, Voice AI, CV, multimodal). — Хард скиллы: Node.js, React, Next.js, React Native/Expo, GraphQL/REST/WebSockets/OAuth2/JWT, Python/FastAPI. — Опыт работы с фреймворками: LangChain, LangGraph, Mastra, CrewAI, Autogen, HuggingFace, OpenAI, Claude, Mistral. — Знание CI/CD, контейнеров, облачных решений, масштабирования, безопасности, observability (OpenTelemetry, Langfuse, Prometheus, Datadog), eval pipelines для AI. — Софт скиллы: автономность, системность, лидерские качества, навык приоритизации, ориентация на результат. — Русский — родной, английский — B2/C1 (большое преимущество). Условия: — Полностью удалённая работа. — Возможность влиять на продукт и развивать инновационные AI-решения. — Работа в динамичной и профессиональной команде.

Location: Argentina; Brazil; Colombia Workplace: Remote Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. Solvd is seeking a Senior AI Engineer to join our team. This role will be essential in the winning of opportunities for the company, primarily focusing on supporting presales process and opportunities discovery with existing clients. ABOUT THE PROJECT Our client, a global e-commerce leader with a large-scale, service-oriented technology estate and complex cloud infrastructure, is seeking to elevate their customer support technology stack by introducing Agentic AI to streamline case workflow resolutions and by implementing an integrated platform to replace the fragmented set of solutions currently used by support agents. Ultimately, our client aims to deliver a more personalized and satisfying support experience to end users - improving CSAT, reducing resolution time, and enhancing service quality across all channels. We are developing a customer support research and resolution platform. The platform will include: - data layer, provide a federated GraphQL interface that unifies access to multiple backend services, enabling low-latency, real-time data retrieval and transactional operations to support AI-driven workflows. - agentic layer, supporting AI-assisted support workflows with human in the loop for validation and confirmation purposes - research capability, allowing end users to intervene when AI is stuck or gives suggestions with low confidence - this capability should enable users to perform additional research, data lookups and actions execution using natural language prompts leveraging LLM and tools (lookups and mutating operations exposed via MCP servers) The role will focus on designing, building and optimizing this agentic research flows for research capability. This is a multi-team, collaborative initiative that requires close coordination with other delivery teams, adherence to high engineering standards and a strong focus on integration and architectural alignment.   WHAT YOU’LL DO - Design and implement AI-powered features: integrate LLM and build AI agents. - Design and implement ent-to-end (frontend and backend) non-AI features, services and business logic that make the solution complete. - Build and maintain MCP servers to expose domain data and capabilities as tools for AI agents. - Implement RAG workflows to ground LLM responses in factual data using embeddings, chunking and vector databases. - Instrument and optimize OpenAI integrations for cost, latency, and accuracy in production environments. - Collaborate with product, design and architecture teams to craft exceptional user experiences built on AI. - Participate in technical design reviews, shaping architectural decisions and engineering standards. WHO ARE YOU - You see engineering as an art of solving problems, using languages and frameworks as tools - not boundaries or limiting factors. - You stay ahead of the curve, continuously tracking the latest developments in Generative AI and excited to be part of how it transforms digital solutions are how they are built. - You know best practices of building AI agents leveraging OpenAI ecosystem (OpenAI Agents SDK specifically). - You have 6+ years of server-side engineering experience, designing and building enterprise-scale software systems. - You have a strong understanding of distributed systems design patterns. - You have strong knowledge of different types of data stores (relational, document, vector, key-value) and understand when to use each effectively. - You are fluent in React, Node.js, TypeScript and confident integrating OpenAI models in real-world applications. - You are fluent in at least one non-JS programming language (Java is a strong advantage). - You are able to express your thoughts and ideas clearly to different audiences, including non-technical stakeholders, bridging business and technical perspectives. - You thrive in environments where AI isn’t a side feature but a core building block. - You can take ownership of and drive feature implementation end-to-end, coordinating the work of multiple team members when needed. - You have a strong understanding of Agile delivery methodologies and understand the importance of expectations management, estimations and commitments. WHAT YOU BRING - 6+ years of professional backend engineering experience, 3+ years with TypeScript/Node.js. - 9+ months of commercial experience building AI features using OpenAI ecosystem. - Hands-on expertise with the OpenAI Agents SDK - building and orchestrating AI agents with capabilities such as tool/function calling, assistants, streaming interactions, and stateful workflows. - Experience designing and implementing MCP servers to integrate external capabilities with LLMs. - Proven ability to design structured prompt architectures with evals, guardrails and observability. - Familiarity with RAG: embeddings, chunking, vector search, retrieval orchestration. - Strong fundamentals in building secure, performant, production-grade APIs and backend systems. - Experience with CI/CD, testing, monitoring, and cloud infrastructure. ADDITIONAL SKILLS - Understanding concepts of semantic search is a strong advantage. - Experience playing a role of team leaders is a strong advantage. - Exposure to other LLM providers (e.g., Anthropic, Mistral AI, Hugging Face) is a strong advantage. - Experience with streaming UIs, conversational UX, and SSE/WebSockets. - Knowledge of prompt injection defenses and responsible AI practices. TECH STACK This platform is a green-field development. - Core: TypeScript, Node.js, React/Next.js, Java - AI: OpenAI API, MCP servers, OpenAI Agents SDK - APIs: GraphQL, REST APIs, SOAP (downstream services - you won’t have to deal with them much) - Data storages: Postgres + pgvector, Pinecone (or other vector DBs), RAG pipelines - Infra: proprietary managed cloud (you won’t have to deal with any infra-level aspects When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

Задачи: — Разработка, поддержка и улучшение веб-приложений. — Создание чистого, эффективного и документированного кода. — Интеграция сторонних API и сервисов. — Реализация мер безопасности и защиты данных. — Оптимизация производительности и масштабируемости приложений. — Проведение код-ревью и участие в командной работе. Требования: — Опыт backend-разработки на Python от 5 лет. — Глубокий опыт с astAPI для создания RESTful API и микросервисов. — Практика работы с API-гейтами (Kong, WSO2) и системами аутентификации (Keycloak, AD). — Опыт интеграции с системами очередей: Apache Kafka, RabbitMQ. — Знание CDN (CloudFront, Cloudflare) и кэширования. — Опыт с CI/CD (Git, Azure DevOps), контейнеризацией. — Стек данных: PostgreSQL, Oracle PL/SQL, Redis, ELK. — Английский язык B2. — Будет большим плюсом: Опыт интеграции с Oracle E-Business Suite R12.2(PL/SQL, публичные API), знание Oracle SOA Suite(BPEL, OSB, Mediators), опыт с Kubernetes и оркестрацией контейнеров, углубленное понимание PostgreSQL, Oracle DB, Elasticsearch. Условия: — Работа с международными компаниями: Samsung, TUI, Ryanair, Johnson & Johnson и др. — Стабильная заработная плата, пакет бонусов и benefits. — Программа компенсации профессиональных сертификатов. — Внутренняя база знаний с курсами.

Location: Limassol, Cyprus; Tbilisi, Georgia Workplace: none TradingView is the world’s largest financial analysis platform with more than 100M users across 180+ countries. We build tools that help traders and investors make informed decisions — from advanced charting and market data to collaboration and publishing features. Our products are used daily by millions of individuals and trusted by companies like Revolut, Binance, and CME Group. We’re continuing to grow and scale our platform, and we’re looking for people who care about product quality, take ownership of their work, and want to build systems used by a global audience. About the team We are looking for an experienced Engineering Manager to help develop and manage one of our key core teams. In this role, you will work closely with stakeholders (often engineers from other teams), design resilient distributed architectures, translate business requirements into clear technical tasks, conduct code reviews, and continuously improve the product. You will also contribute to coding, although hands-on development is not the primary focus of the role. If you enjoy collaborating with others, want to influence business outcomes, and are eager to explore new technologies and tools, we would be happy to meet you. Responsibilities Analyze incoming requests for new features, validate them, and translate them into clear technical requirements aligned with product and business goals Collaborate with other development teams to ensure proper integration of solutions and reliable delivery of functionality Work with the project manager to define the technical approach to implementing tasks and align on timelines Participate in hiring: conduct technical interviews and help onboard new developers Oversee the design and development of backend and frontend components, ensuring architectural consistency of solutions Participate in code reviews and contribute to the development of the team’s engineering practices.Hold regular 1:1 meetings and performance reviews, and support the professional growth of the team Work with DevOps engineers on the release process and CI/CD setup. What makes you the perfect fit 6+ years of experience in backend development 2+ years of experience as a Tech Lead or Engineering Manager (architecture, team motivation, and growth) Strong communication skills and the ability to work effectively with cross-functional teams Solid understanding of distributed systems design patterns and network protocols Clear understanding of the full software development lifecycle Strong backend development skills in Go or Java Experience with CI/CD and DevOps tools (Docker, Kubernetes, Jenkins) Experience working with both relational and non-relational databases Hands-on experience designing APIs and microservice architectures English proficiency at B1 level or higher Strong command of Russian is required What we offer you Flexible working hours and a hybrid work format Well-equipped offices for focused and collaborative work A global, distributed team of 500+ professionals Learning, mentorship, and long-term career growth Relocation support and private health insurance Performance-based bonuses TradingView Premium access Regular team events and company-wide meetups Join the TradingView team and help us build a product used by millions of traders and investors worldwide. We look forward to hearing from you! TradingView is an equal opportunity employer. We embrace diversity and are dedicated to fostering a diverse and inclusive workplace. Our success is driven by 600+ professionals from 40+ countries who speak nearly 20 languages.

Location: Kuala Lumpur Workplace: onsite ABOUT YOU We are looking for a Senior QA Engineer with strong Web3 experience to join our engineering team. You are meticulous, technically sharp, and deeply curious about decentralized technologies. You understand the nuances of blockchain interactions, wallet integrations, smart contract behavior, and hybrid on‑chain/off‑chain systems.   You thrive in fast‑paced, agile environments and bring a proactive approach to quality—anticipating risks, validating distributed systems, and ensuring seamless user experiences across Web3‑enabled features. You are confident in manual testing, comfortable with API‑level validation, and eager to integrate AI‑driven testing tools to improve coverage, speed, and defect detection.   If you’re excited to shape quality practices for blockchain‑enabled products and help define how Web3 experiences should feel for millions of users, we’d love to meet you.   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. Responsibilities Core QA Ownership Lead manual testing of complex Web3 and platform features across multiple environments Validate blockchain interactions, wallet flows (e.g., MetaMask, WalletConnect), and decentralized identity/authentication Test smart contract interactions, event handling, and on‑chain/off‑chain data synchronization Drive exploratory, functional, and regression testing using structured documentation and deep product knowledge Identify, log, and track reproducible issues with precision using Jira or similar tools Web3‑Specific Quality Work Verify blockchain node responses, RPC interactions, and event‑driven workflows Validate transaction signing, wallet authentication, and multi‑chain compatibility Collaborate with engineers to test smart contract upgrades, migrations, and versioning Monitor production logs, blockchain explorers, and analytics dashboards to detect anomalies Process & Tooling Create and maintain detailed test cases, checklists, and QA documentation Collaborate with engineering and DevOps teams to ensure reliable CI/CD test coverage for Web3 components Evaluate and integrate AI‑powered testing tools (e.g., automated test generation, log analysis, visual regression) Set up and manage test environments, staging pipelines, and job configurations Conduct load, stress, and performance testing—especially around high‑volume Web3 interactions Quality Leadership Act as a quality advocate across sprint planning, reviews, and release cycles Mentor junior QA engineers and promote a culture of proactive quality ownership Contribute to best practices for testing decentralized systems and hybrid architectures Qualifications & Skills Required Minimum 7 years of total QA experience , including ownership of end‑to‑end quality At least 2 years of hands‑on Web3 testing experience , covering blockchain integrations, wallet flows, or decentralized systems Strong understanding of manual testing methodologies and defect life cycle Familiarity with blockchain fundamentals (e.g., transactions, gas, confirmations, RPC endpoints) Experience validating APIs using Postman or similar tools Proficiency with bug tracking systems (e.g., Jira) and version control (e.g., Git) Comfortable using browser developer tools and basic terminal/command‑line workflows Strong verbal and written English communication skills Familiarity with AI‑powered testing tools (e.g., test case generation, smart prioritization, AI log analysis) Good to Have Good to Have Experience with wallet testing (MetaMask, Coinbase Wallet, WalletConnect, custom wallets) Understanding of smart contracts, Solidity basics, or blockchain debugging tools Experience with automated testing frameworks (Playwright, Cypress, Selenium) Knowledge of backend technologies, APIs, and familiarity with PHP or related languages Experience working in Linux environments and using Bash scripting Hands‑on experience with AI platforms used in QA contexts BENEFITS: Convenient work tools Latest Mac workplaces + additional hardware to make you more effective at work Google Chat, Gmail, Google Drive, Confluence, Jira, GitLab Professional growth Free trainings and participation in specialized conferences Rich knowledge exchange within the company More perks Health insurance (Medical, dental and optical)- Employee and dependants Flexible hours: organize your day according to your needs and sprint & teamwork demands No dress code Comfortable and new office environment  The duties of this position may change from time to time so the individual and organization can achieve their results. This job description is intended to describe the general level of work being performed. It is not intended to be all-inclusive. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla KL Sdn Bhd takes your privacy very seriously, and will not sell or externally distribute any data received during the hiring process. Pursuant to the Personal Data Protection Act 2010 (“PDPA”), Xsolla KL Sdn Bhd is mindful and committed to the protection of your personal information and your privacy. Please direct any inquiries regarding your data privacy to careers@xsolla.com. For more vacancies: https://xsolla.com/careers