Вакансии

Location: Toronto, Ontario Workplace: Hybrid Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. 🚀 THE ADVENTURE AHEAD Step into the driver's seat of the high-octane engine that powers Docebo’s enterprise automation platform! In this role, you will architect, build, and scale business-critical backend systems in Go and PHP that seamlessly onboard millions of users. You'll serve as the primary technical advisor and force multiplier for our product and engineering teams, solving complex automation logic while directly elevating the technical craft of those around you. If you get excited by high scale, deep architectural ownership, and making a massive impact on enterprise-grade software, your next great journey starts right here! ⚡ THE DAY-TO-DAY - Lead the Charge: Drive complex, multi-sprint technical initiatives from initial spark to seamless deployment while staying ahead of scope, dependencies, and risks. - Architect for Scale: Design and operate high-performing, resilient backend services using Go, PHP, AWS, Kubernetes, DynamoDB, PostgreSQL, and MySQL to effortlessly handle millions of users. - Write Exemplary Code: Craft clean, elegant Go code for our newest automation features while actively maintaining and leveling up our core PHP services. - Elevate the Craft: Conduct thoughtful code reviews, lead technical design discussions, write clear architectural design docs, and establish SLOs to keep our incident rates low. - Multiply Team Impact: Mentor and pair with engineers, guiding their career growth, while acting as a trusted partner to Product and Design to shape our product roadmap. - Tackle Complex Challenges: Balance long-term strategic roadmap delivery with Tier-1 customer escalations and technical debt, diving in to troubleshoot mission-critical issues across the stack. 🛠️ YOUR SUPERPOWERS - Backend Mastery: 4-8 years of software engineering experience with deep expertise in Go and performance-driven batch processing systems, ideally paired with working knowledge of PHP. - System Design Genius: Proven track record of designing, building, and operating scalable microservices, distributed systems, and domain-driven architectures at enterprise scale. - Cloud & Infrastructure Expertise: Advanced, hands-on experience with AWS, Kubernetes, infrastructure as code, and data stores like DynamoDB, PostgreSQL, and MySQL. - Reliability & Observability Guru: Deep understanding of testing strategies (unit, integration, E2E) and modern observability platforms like Datadog to manage incidents and protect long-term system health. - Strategic Force Multiplier: Outstanding ability to mentor teammates, communicate complex technical trade-offs to non-technical stakeholders, and make sound decisions under uncertainty. - Timezone Anchor: Based in Canada to deliver seamless, sustainable timezone coverage for our North American enterprise customers alongside our Italy-based engineering team. 🌟 BONUS POINTS - Cross-Stack Versatility: Strong knack for jumping into moderate complexity tasks outside your primary domain to unblock cross-functional engineering teams. - Continuous Improvement Champion: Passion for driving engineering-wide initiatives, whether standardizing deployment patterns, refining testing practices, or bringing emerging technology innovations into the fold. OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing. OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul. OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long. ABOUT DOCEBO 💙 At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world. Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities. Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.

Location: Poland Workplace: fully About the Client Our client develops white-label payment and financial software for businesses and financial service providers. Its modular platform supports payments, accounts, cards and operational workflows through APIs and integrations. Role Overview Turn AI ideas into reliable production systems with measurable business impact. You will define the architecture and roadmap for LLM-powered solutions, including agents, RAG and automated workflows. Working with skilled engineering, product and security colleagues, you will take initiatives from proof of concept to production using modern cloud infrastructure, Docker and Kubernetes. Key Responsibilities Define the AI architecture and technology roadmap in line with business objectives. Design and implement scalable AI and LLM-powered solutions, including agents and automated workflows. Develop RAG architectures, semantic search and enterprise knowledge systems. Evaluate AI models, platforms and infrastructure for performance, security and cost. Integrate AI solutions with existing APIs, backend systems and microservices. Establish standards for AI evaluation, monitoring, observability and security. Collaborate with Engineering, Product and Security teams to deliver measurable business impact. Guide AI initiatives from proof of concept to production and promote engineering best practices. Requirements 8+ years of software engineering experience, including architecture or technical leadership. Proven experience designing and deploying production-grade AI or LLM-powered systems. Strong knowledge of Generative AI, LLM APIs, RAG, embeddings and vector search. Experience with AI agents, tool calling and workflow orchestration. Strong backend architecture skills, including distributed systems, microservices and APIs. Familiarity with cloud platforms, Docker, Kubernetes and modern infrastructure. Understanding of AI evaluation, monitoring, security, privacy and data governance. Ability to balance solution quality, scalability, latency and cost. Fintech or payments experience is an advantage. Knowledge of Russian or Ukrainian is required. Ability to work remotely with reasonable overlap with Central European Time (CET). Key Soft Skills Ownership and accountability for architectural decisions and delivery. Cross-functional collaboration with engineering, product and business stakeholders. Clear communication of technical concepts and trade-offs to different audiences. Adaptability as AI technologies develop, with a focus on practical business value. What We Offer Competitive salary aligned with experience. Collaborative and transparent team culture. High-impact role in a scaling fintech company. Recognition of personal milestones and achievements. Social benefits.

Location: Cyprus Workplace: fully About the Client Our client develops white-label payment and financial software for businesses and financial service providers. Its modular platform supports payments, accounts, cards and operational workflows through APIs and integrations. Role Overview Turn AI ideas into reliable production systems with measurable business impact. You will define the architecture and roadmap for LLM-powered solutions, including agents, RAG and automated workflows. Working with skilled engineering, product and security colleagues, you will take initiatives from proof of concept to production using modern cloud infrastructure, Docker and Kubernetes. Key Responsibilities Define the AI architecture and technology roadmap in line with business objectives. Design and implement scalable AI and LLM-powered solutions, including agents and automated workflows. Develop RAG architectures, semantic search and enterprise knowledge systems. Evaluate AI models, platforms and infrastructure for performance, security and cost. Integrate AI solutions with existing APIs, backend systems and microservices. Establish standards for AI evaluation, monitoring, observability and security. Collaborate with Engineering, Product and Security teams to deliver measurable business impact. Guide AI initiatives from proof of concept to production and promote engineering best practices. Requirements 8+ years of software engineering experience, including architecture or technical leadership. Proven experience designing and deploying production-grade AI or LLM-powered systems. Strong knowledge of Generative AI, LLM APIs, RAG, embeddings and vector search. Experience with AI agents, tool calling and workflow orchestration. Strong backend architecture skills, including distributed systems, microservices and APIs. Familiarity with cloud platforms, Docker, Kubernetes and modern infrastructure. Understanding of AI evaluation, monitoring, security, privacy and data governance. Ability to balance solution quality, scalability, latency and cost. Fintech or payments experience is an advantage. Knowledge of Russian or Ukrainian is required. Ability to work remotely with reasonable overlap with Central European Time (CET). Key Soft Skills Ownership and accountability for architectural decisions and delivery. Cross-functional collaboration with engineering, product and business stakeholders. Clear communication of technical concepts and trade-offs to different audiences. Adaptability as AI technologies develop, with a focus on practical business value. What We Offer Competitive salary aligned with experience. Collaborative and transparent team culture. High-impact role in a scaling fintech company. Recognition of personal milestones and achievements. Social benefits.

Location: Spain Workplace: fully About the Client Our client develops white-label payment and financial software for businesses and financial service providers. Its modular platform supports payments, accounts, cards and operational workflows through APIs and integrations. Role Overview Turn AI ideas into reliable production systems with measurable business impact. You will define the architecture and roadmap for LLM-powered solutions, including agents, RAG and automated workflows. Working with skilled engineering, product and security colleagues, you will take initiatives from proof of concept to production using modern cloud infrastructure, Docker and Kubernetes. Key Responsibilities Define the AI architecture and technology roadmap in line with business objectives. Design and implement scalable AI and LLM-powered solutions, including agents and automated workflows. Develop RAG architectures, semantic search and enterprise knowledge systems. Evaluate AI models, platforms and infrastructure for performance, security and cost. Integrate AI solutions with existing APIs, backend systems and microservices. Establish standards for AI evaluation, monitoring, observability and security. Collaborate with Engineering, Product and Security teams to deliver measurable business impact. Guide AI initiatives from proof of concept to production and promote engineering best practices. Requirements 8+ years of software engineering experience, including architecture or technical leadership. Proven experience designing and deploying production-grade AI or LLM-powered systems. Strong knowledge of Generative AI, LLM APIs, RAG, embeddings and vector search. Experience with AI agents, tool calling and workflow orchestration. Strong backend architecture skills, including distributed systems, microservices and APIs. Familiarity with cloud platforms, Docker, Kubernetes and modern infrastructure. Understanding of AI evaluation, monitoring, security, privacy and data governance. Ability to balance solution quality, scalability, latency and cost. Fintech or payments experience is an advantage. Knowledge of Russian or Ukrainian is required. Ability to work remotely with reasonable overlap with Central European Time (CET). Key Soft Skills Ownership and accountability for architectural decisions and delivery. Cross-functional collaboration with engineering, product and business stakeholders. Clear communication of technical concepts and trade-offs to different audiences. Adaptability as AI technologies develop, with a focus on practical business value. What We Offer Competitive salary aligned with experience. Collaborative and transparent team culture. High-impact role in a scaling fintech company. Recognition of personal milestones and achievements. Social benefits.

- Разработка и развитие функционала корпоративной AI-платформы; - Создание интерфейсов для работы с LLM, AI-агентами, файлами и базами знаний;

• Опыт коммерческой разработки от 3 лет. • Уверенный опыт backend-разработки на Python.

Location: Paris Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. About the role: As a Senior Software Developer at Checkout.com http://Checkout.com, you will be embedded within the Identity Verification Team, a critical function focused on building innovative products to verify the identities of individuals and businesses globally. In this high-impact role, you will be instrumental in the development of next-generation verification features, deploying intelligent, production-ready solutions by leveraging state-of-the-art Orchestration technologies as well as Generative AI and Computer Vision technologies. You will be expected to work closely and collaboratively with Product, DevOps, DataScientist, and Data teams to ensure successful, end-to-end delivery of these solutions, while constantly researching and integrating emerging technologies. A core part of your contribution will be safeguarding data integrity and ensuring compliance, and translating complex data insights into clear, actionable recommendations for stakeholders to support informed, data-driven decision-making across Checkout.com http://Checkout.com. What you will be doing: • Drive the design and development of innovative, complex and scalable applications for real-world identity verification challenges in a wider microservices using industry best practices. • Take full ownership of new and existing features and service, managing the end-to-end lifecycle from initial conceptualization and design through to deployment and monitoring in a production environment. • Actively collaborate with cross-functional teams (Engineering, Product, Risk) across the company to maximize the positive impact of data science initiatives. • Champion a culture of technical excellence, cross-team learning, and knowledge sharing within the Data organization. • Be part of, and collaborate with, cross-functional teams including product management, across a large engineering community. • Write clean, maintainable, extendable and testable code on some of Checkout’s most impactful systems. • Build, own and operate your systems to the highest levels of resilience and service. • Mentor junior team members and assist in their technical development What are we looking for: • Bachelor's or Master's degree in Computer Science, Engineering, or related field • Over 5 years of experience as a Software Engineer working with complex, large-scale, and diversified applications and tech stacks. • Proficiency in C# .NET, with a strong understanding of software development principles in either a backend or full stack environment. • Great communication skills and ability to interact effectively with a wide range of stakeholders • Experience working in agile environments and delivering high-quality code within tight deadlines • Excellent problem-solving skills and the ability to work independently as well as part of a team • Someone who is AI proficient or AI curious, you will be hungry to embrace what the latest technology has to offer to enhance yours and your teams productivity • Payments or financial knowledge is a plus, but not a necessity • French language proficiency at a minimum B2 level Bonus Points: • Experience with Cloud and Infrastructure technologies like AWS, GCP, Azure, Kubernetes, prometheus... • Experience with Databases like Postgresql, Mongo, Redis, ... • Direct experience solving real-world business problems through innovative, data-driven approaches. • Any experience in other programming languages not mentioned above. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Remote - Worldwide Workplace: onsite Coinspaid Dev is the engineering brand behind the technology, infrastructure, and R&D expertise built within Coinspaid. With more than 120 engineersand over 11 years of industry experience, Coinspaid Dev brings together software engineering, infrastructure, security and R&D teams with experience building distributed systems and blockchain infrastructure operating across more than 20 blockchain networks. Coinspaid Dev emerges as an independent engineering brand with a straightforward mission: to advance blockchain infrastructure engineering and contribute practical expertise back to the industry. The structure is new. The experience behind it is not. Position Description: We are looking for a Principal QA Engineer to take ownership of a company-wide QA system and lead its continued development. You will dive into the current processes, leadership model, automation and tooling direction, quality controls, and improvement roadmap; challenge existing approaches where needed, and drive the next stage of maturity across engineering domains. We need a senior technical leader who sees Quality Engineering as an engineering system, connects business and technical risks with practical changes in the SDLC, test architecture, automation, environments, release quality, and metrics, and turns systemic problems into measurable and sustainable improvements. This is a senior individual contributor role working primarily through QA Technical Leads and Senior QA Engineers and partnering with Engineering Managers, Product, Architecture, and DevOps/SRE, while remaining hands-on in high-impact reviews, pilots, and critical investigations. Responsibilities: Take ownership of the company-wide Quality Engineering strategy, operating model, and improvement roadmap; continue evolving them as products, risks, and organizational needs change. Assess Quality Engineering maturity across domains, identify systemic bottlenecks and inconsistencies, and prioritize the improvements with the highest company-wide impact. Define and evolve cross-domain standards and guardrails for test architecture, coverage, quality evidence, testability, observability, release readiness, and production validation. Drive continuous improvement of the end-to-end QA process and embed shift-left practices, quality controls, and risk-based gates across the SDLC together with Product, Engineering, Architecture, and DevOps/SRE. Own the strategic direction of the QA toolchain and automation architecture, and validate key technical decisions hands-on through code, prototypes, and architecture reviews across UI and backend automation. Python is preferred, while Go, Node.js, or another suitable stack is also relevant. Continuously benchmark market practices and emerging technologies, including AI; validate ideas through experiments and turn successful findings into company-wide transformation initiatives such as framework modernization, contract and performance testing, smarter test selection, and cloud-native test environments. Actively use AI in daily engineering work and advance its adoption across QA. Define scalable release-quality principles and provide technical recommendations for systemic, cross-team, or ambiguous quality risks. Lead cross-team investigations and root-cause analysis for critical incidents, unstable environments, systemic automation failures, and quality problems without a clear owner. Establish meaningful quality metrics and make trends, risks, technical debt, and improvement outcomes visible to engineering leadership. Develop QA Technical Leads as domain-level technical owners, strengthening their ability to translate company-wide direction into sustainable practices and decisions within their domains. Influence, align stakeholders, and translate business, regulatory, and operational risks into clear engineering priorities. Requirements: 8+ years in Quality Assurance / Quality Engineering, including technical leadership across multiple teams or domains. Experience defining QA strategy, standards, or large-scale transformations with measurable results. Deep knowledge of Quality practices risk-based testing, coverage strategy, shift-left, quality gates, testability, release readiness, and production quality signals. Strong hands-on programming experience and the ability to design and contribute to scalable UI and backend automation. Python is preferred, but strong experience with Go, Node.js, or another relevant stack is welcome. Strong experience with distributed backend systems, REST APIs, event-driven workflows, third-party integrations Experience with CI/CD, Docker/Kubernetes, cloud-native or GitOps environments, and observability tools. Ability to define useful quality metrics, communicate technical risk, and influence senior stakeholders A research-driven mindset, practical experience evaluating new technologies, and confident, responsible, and active use of AI tools in everyday engineering work. Good spoken and written English and Russian. Nice to have: Experience in fintech, crypto, payments, compliance, financial operations, or another regulated domain with complex integrations and high operational risk. Experience with Kafka, MQ, Debezium, ledger-like systems, eventual consistency, and event-driven architecture. Experience with contract, performance, load, resilience, or reliability testing. Why join CryptoProcessing by Coinspaid You’ll be joining a company that is actively shaping its space – with enough scale to matter and enough room to make an impact. At Coinspaid, people are expected to think, contribute, and take ownership – and are supported in doing so. We focus on flexibility, wellbeing, and long-term growth – without overcomplicating how benefits work. Flexible Benefits Benefit Bar – up to €230/monthA flexible monthly budget you can use for what matters most to you – from sports and mental health to coworking, home office, or medical-related expenses. Work & Flexibility Fully remote work from almost anywhere Optional offices and relocation support Flexible, async-friendly environment Growth & Learning Budget for courses, certifications, and professional development Language learning support Cross-team learning and knowledge sharing Wellbeing & Support Medical insurance or reimbursement depending on location Access to mental health support Financial support for important life events Extras Merch shop with rewards system Team offsites and company events Sounds good? Well then, we can’t wait to see your resume! To learn more please visit: https://coinspaid.com/about-us/ & https://coinspaid.com/careers/

- Own front-line support during your time zone hours, providing overlap with the existing team (candidates may work a standard Mon–Fri schedule or a weekend Sat–Wed schedule). - Triage and resolve customer tickets with clarity and care.

You will own systems and the technical decisions inside them. What you’ll own.

Location: Bengaluru Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey is building the infrastructure foundation behind one of the most ambitious AI product companies in the world. Our Core Infrastructure team powers every user interaction across Harvey’s legal AI platform, which already processes billions of prompt tokens and millions of daily requests for leading law firms, enterprises, and other high-stakes customers. We are looking for an Engineering Manager to lead Core Infrastructure from Bengaluru as we scale the platform, the team, and the next generation of Harvey products. This is a high-leverage role for a builder-leader who can grow strong engineers, drive technical execution, and raise the bar on reliability, performance, security, and developer velocity. This is not a pure operations role. Core Infrastructure at Harvey is responsible for building new systems as well as hardening existing ones, with an emphasis on architecture, scale, and long-term platform leverage rather than reactive firefighting alone. Harvey is in a build era, not a maintenance era. New product surfaces ship rapidly, and India engineering is expected to play a foundational role in shaping the architecture, culture, and roadmap of Harvey’s next decade. At Harvey, we value Decisiveness, Simplicity, and the mindset that Job's Not Finished. We move fast, prioritize clarity, and are always striving for excellence. If this resonates with you, we'd love to hear from you. WHY THIS ROLE MATTERS: Core Backend Infrastructure exists to “deliver core infrastructure that powers our products and teams,” and its current mission is operational excellence at scale. The team serves two critical user groups: external customers who need Harvey to be as reliable as the tools it replaces, and internal product engineering teams who need infrastructure they can build on without firefighting. The systems this team owns are directly tied to Harvey’s next wave of growth, including agent infrastructure, database resilience, site reliability, vector search, job execution, regional data residency, and multi-cloud scale. WHAT YOU'LL DO: - Lead, hire, and develop a high-agency infrastructure team in Bengaluru, creating a culture of accountability, technical excellence, and strong mentorship. - Own delivery for core infrastructure investments spanning cloud infrastructure, observability, container orchestration, reliability, and platform foundations. - Partner closely with Product Engineering, Security, and adjacent platform teams so infrastructure accelerates product delivery instead of constraining it. - Guide technical strategy across multi-cloud infrastructure, including Azure- and GCP-based systems, Kubernetes orchestration, networking, container management, and infrastructure as code. - Drive operational excellence through better observability, incident response, disaster recovery, runbooks, alerting, and recovery tooling. - Help the organization scale safely by improving system design quality, hardening critical paths, and pushing durable solutions to reliability bottlenecks before they become customer-facing failures. - Partner with AI and product teams to support Harvey’s next major product surfaces, including agent workflows, model infrastructure, and large-scale document processing systems. - Contribute as a hands-on technical leader when needed, especially in architecture reviews, incident leadership, prioritization, and high-stakes cross-functional programs. REPRESENTATIVE PROBLEMS YOU MAY LEAD: - Hardening the Agent Platform so product teams can ship AI agent experiences with resource isolation, authenticated sandbox access, and resilient execution. - Improving database resilience and recovery so incidents are mitigated quickly and the main database never becomes the bottleneck during critical events. - Raising site reliability through stronger alerting, failover strategy, autoscaling, and runbooks so customers are never the first to know Harvey is degraded. - Scaling vector and retrieval infrastructure that underpins document-heavy workflows and enterprise search, including migrations that improve reliability and unlock new capabilities. - Building a multi-region, enterprise-grade platform that meets strict data residency, security, and uptime expectations for global customers. WHAT WE’RE LOOKING FOR: - 12+ years of hands-on backend infrastructure or platform engineering experience in production environments - 5+ years of engineering management experience. - Deep technical strength across cloud infrastructure, Kubernetes, networking, observability, CI/CD, and infrastructure-as-code tooling such as Terraform or Pulumi. - A track record of designing and scaling reliable distributed systems, with strong judgment around performance, fault tolerance, and operational tradeoffs. - Experience leading complex cross-functional initiatives and translating ambiguous platform needs into clear execution plans and measurable outcomes. - Strong people leadership: hiring well, coaching engineers, creating accountability, and building a healthy, high-performing team culture. - Clear communication and calm execution during incidents, escalations, and high-stakes customer-impacting situations. - A systems mindset, bias for simplicity, and the ability to raise standards while keeping teams moving fast. NICE TO HAVE - Experience with AI/ML infrastructure, high-throughput inference systems, or model platform reliability. - Experience operating multi-tenant, security-sensitive platforms for enterprise or regulated customers. - Familiarity with Azure at scale; GCP or AWS experience also transfers well. - Experience supporting global, follow-the-sun operations or building teams across regions. ADDITIONAL INFORMATION - Work eligibility: Must be authorized to work in India. Visa sponsorship is not available for this role. PLEASE FIND THE APPLICANT PRIVACY FOR THIS REGION HERE https://www.harvey.ai/legal/india-applicant-privacy-notice. #LI-AS2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Москва Мы в поиске опытного AI разработчика для участия в проектировании и реализации единой корпоративной агентной платформы. Платформа должна предоставлять пользователю единую точку взаимодействия с различными информационными системами и бизнес-процессами. Главный агент должен понимать намерение пользователя, использовать контекст диалога, планировать выполнение задачи, привлекать специализированных агентов и инструменты, объединять результаты и при необходимости запрашивать подтверждение пользователя. Обязанности **Будущему коллеге предстоит не только заниматься LLM, но и построить полноценную программную платформу вокруг них:** • главный агент-оркестратор; • специализированные агенты; • реестр инструментов; • управление контекстом и состоянием; • межагентное взаимодействие; • интеграция с корпоративными системами; • безопасность; • наблюдаемость; • тестирование качества; • отказоустойчивость. Роль предполагает hands-on участие. Требования **Опыт :** • От 3 лет коммерческой backend-разработки. • Опыт технического проектирования распределённых систем. • Практический опыт работы с LLM и агентными системами. • Желателен хотя бы один агентный или LLM-продукт, доведённый до пилотной либо промышленной эксплуатации. • Опыт технического лидерства или владения архитектурой крупного модуля. • Умение работать в условиях неполных требований и постепенно формировать целевую архитектуру. • Способность общаться как с разработчиками, так и с владельцами бизнес-процессов. **Проектирование:** • Практический опыт разработки LLM-агентов и agentic workflows. • Понимание различий между агентом, инструментом, workflow, multi-agent системой и обычным чат-ботом. • Опыт реализации supervisor/orchestrator-архитектуры. • Планирование и декомпозиция сложных пользовательских задач. • Выбор специализированного агента или инструмента. • Реализация взаимодействия между агентами. • Параллельное выполнение независимых задач. • Управление состоянием долгоживущих сценариев. • Работа с краткосрочной и долгосрочной памятью. • Контроль циклов, timeout, retry и fallback. • Разрешение конфликтующих результатов нескольких агентов. • Human-in-the-loop и запрос подтверждения перед критичными действиями. • Защита от бесконтрольного поведения и необоснованных действий агентов. **Межагентское взаимодействие:** • типизированные сообщения между агентами; • контракты задач и результатов; • делегирование задач; • общий и изолированный контекст агентов; • очереди и приоритеты задач; • синхронное и асинхронное взаимодействие; • передачу управления между агентами; • трассировку цепочки выполнения; • предотвращение зацикливания; • повторное выполнение и идемпотентность; • обработку частичной недоступности агентов и инструментов **Python + Backend:** • Сильное знание Python. • Async/await и конкурентное выполнение. • FastAPI, Pydantic, pytest. • Проектирование API и типизированных контрактов. • Модульная и гексагональная архитектура. • Интеграция нового функционала в существующие системы. • REST, gRPC, WebSocket или Server-Sent Events. • Очереди сообщений и фоновые задачи. • Работа с долгоживущими и асинхронными процессами. • Понимание микросервисной архитектуры и модульных монолитов. • Умение проектировать систему без жёсткой зависимости от конкретной LLM или фреймворка. Условия * комфортный современный офис: Москва, ул. Вавилова 19 * офисный формат работы на период испытательного срока, после ИС - возможен гибрид * ежегодный пересмотр зарплаты, структура дохода: оклад + годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте (для Junior позиций) * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Location: Москва Мы создаем прототипы и MVP в AI-направлениях: агентные мультимодальные системы, персональные ассистенты, корпоративные знания. Наша цель — находить практические сценарии, проверять их ценность и доводить до работающих решений для бизнеса. В команде ценятся инженерная самостоятельность, скорость экспериментов, осмысленный выбор технологий и умение работать как с прототипами, так и с production-развитием. Мы ищем Agentic Engineer, который будет разрабатывать AI-агентов общего назначения — от прототипов до MVP и пилотов в реальных бизнес-сценариях. Важна способность не просто "заставить демо работать", а сделать решение понятным, переиспользуемым и готовым к развитию. Обязанности * разрабатывать прототипы и MVP агентных систем на базе OpenClaw, Hermes или аналогичных фреймворков * проектировать агентные сценарии: планирование, использование инструментов, управление контекстом и обработка ошибок * улучшать архитектуру краткосрочной и долгосрочной памяти агента * инженерия агентской памяти для эффективной работы агента * разрабатывать skills и изолированные инструменты (MCP) * тестирование и оценка trade-off (модель/производительность/качество/ стабильность). Требования * опыт работы с LLM API (tool calling, structured output, управление контекстом) * практический опыт разработки AI-агентов или сложных LLM-сценариев * опыт работы с векторными базами, Docker compose, инфраструктурными компонентами вокруг backend * понимание observability LLM-приложений (трассировки, логирование, метрики стоимости и задержек) * умение прототипировать без потери инженерной дисциплины. Условия * комфортный современный офис рядом с м. Кутузовская * гибридный формат работы после испытательного срока * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Location: Remote - North America - South America Who We Are: Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. Your Role: As a Senior Full-Stack Engineer, you will be responsible for architecting, implementing, and maintaining frontend applications and backend services that form the foundation of user experience at Alpaca and empower millions of users who trade billions of dollars worth of assets. As part of a focused and specialized engineering team, you will be responsible for the user experience and product development for Internal Tools customers, encompassing both the frontend trading dashboards and backend systems that power Internal Tools product features like elite, high-yield cash, paper accounts, and more. Working closely with our users and internal stakeholders, we specialize in delivering high-quality end-to-end solutions across the full suite of frontend and backend systems at Alpaca. We’re looking for someone who brings deep frontend and backend expertise, understands how all parts of the stack work together, enjoys mentoring others, and thrives in a culture of curiosity and continuous improvement. Working collaboratively in a cross-functional team, you’ll build elegant and robust systems and services to deliver innovative product features across the stack. Things You Get To Do: Play a pivotal role in architecting and developing software solutions across the full stack that push the boundaries of technology Work closely with cross-functional teams and dive deep into the backend systems and infrastructure that power financial markets Contribute to API design and product features within our ecosystem. Own the delivery of high-visibility features/projects, from design to deployment Mentor peers and influence the technical strategy of our company Who You Are (Must-Haves): 5+ years of experience using a modern systems programming language like Golang, C++, or Rust 3+ years of experience in frontend development with TypeScript/React Proficient with SQL and relational databases, preferably PostgreSQL Proficient in HTML and CSS frameworks such as TailwindCSS Excellent communication and collaboration skills Proven track record of building user-facing features end-to-end Experience with REST APIs and WebSockets best practices Attention to detail and an appreciation for design aesthetics Who You Might Be (Nice-to-Haves): Algo trading experience (either professional or personal) Experience with major cloud platforms (we primarily use GCP) Experience or understanding of financial markets Experience working at a startup Experience working remotely How We Take Care of You: Competitive Salary & Stock Options Health Benefits New Hire Home-Office Setup: One-time USD $500 Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. Recruitment Privacy Policy

Location: Mountain View, California, USA About Inworld Inworld is a research lab and inference provider focused on realtime AI for consumer-facing applications. We build first-party speech models, serve LLMs, and run the inference behind modular APIs designed for high-volume, realtime workloads. Hundreds of millions of users interact with Inworld powered apps every day and we serve over 10 trillion LLM tokens per month. Our models and infrastructure support consumer applications across companions, healthcare, fitness, education, media, and more. Our work spans model research, realtime inference, large-scale serving infrastructure, and the APIs developers use to bring these capabilities into production. We’ve raised more than $125M from Lightspeed Venture Partners, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta, Stanford, and others. Our technology has powered experiences from companies including NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella, and Bible Chat. Inworld has also been recognized by CB Insights as one of the 100 most promising AI companies globally and named one of LinkedIn’s Top 10 Startups in the USA. Who We're Looking For A year ago, reliably working agentic systems and sub-second multimodal inference at scale barely existed. Nobody has a decade of experience here. So we're not screening for a resume template — we're looking for strong people from varied backgrounds who learn fast, thrive in ambiguity, and can show us what they've built, broken, and understood.   Experience We Find Useful You don't need all of this. But you need enough to make a case. - Inference Optimization. Deep understanding of modern serving frameworks and techniques like vLLM or TRT-LLM. - Model Acceleration. Hands-on experience with quantization, distillation, caching strategies , continuous batching, paged attention, and speculative decoding. - High-Performance Systems. Proficiency in C++, CUDA, Rust, or highly optimized Python. You know how to profile code and squeeze every ounce of performance out of NVIDIA GPUs. - Distributed Systems & Scaling. Experience with Kubernetes, Ray, custom load balancing, multi-GPU/multi-node inference, and reliably handling thousands of concurrent connections. - Public work. Non-trivial systems programming projects, open-source contributions to major inference engines, or deep-dive technical write-ups. - Full-cycle ownership. You can take a model from the research team, containerize it, optimize its serving, and ensure it runs reliably in production. - Background. PhD in CS, Physics, Math, or equivalent practical experience building backend or ML systems.   Who Thrives Here - You don’t need a roadmap to start walking; you’re comfortable picking a direction and building the map as you go. - You believe engineering isn't finished until it’s shipped and stable. You have a bias for impact over purely theoretical optimizations. - You don't just ship code; you obsess over the why. You’re the first to question an architecture if you think there’s a better way to solve the core latency or throughput problem. - You aren't satisfied with "the PM said so." You thrive on deep context and want to understand the fundamental logic behind every decision we make.   What Working Here Is Like We hand you unclear problems and expect you to make them clear. We value engineers who say "I don't know yet" and then design the benchmark or prototype that finds out. We treat performance, latency, and reliability as first-class product features, not a box to check before launch. Impact comes before everything else, though we support sharing work and open-source contributions that move the field forward. Your work should be visible. Flat structure, fast iterations, minimal process theater. We believe in the power of in-person collaboration to solve the hardest problems and foster a strong team culture. We offer relocation assistance and look forward to you joining us in our Mountain View office. The base salary range for this full-time position is $250,000 - $300,000+ bonus + equity + benefits. Inworld Jobs Privacy https://inworld.ai/jobs-privacy

Location: New York, NY, United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. About The Role We are looking for a Staff Platform Engineer to join our Platform team based in the United States. Our team is responsible for providing engineering teams with the platform and tooling responsible for deploying and running the core critical services that power the entire Fanatics business. You will own and lead complex initiatives across cloud infrastructure, Kubernetes platforms, CI/CD systems, observability, and internal developer tooling. As a Staff Platform Engineer, you will be a technical leader on our platform team, helping influence the technical direction and raising the bar for code quality, reliability, and observability. You will lead projects from design through delivery, coordinating across engineers, and partner teams with minimal oversight. You will design complete systems and services that meet business goals and our engineering standards, partner with team leadership on planning and the roadmap, and mentor team members on engineering craft and ownership. What You’ll Do Lead end-to-end execution of complex initiatives, from architecture and design through deployment and continuous refinement. Lead the design, maintenance, and implementation of scalable platform services, automation, CI/CD, and infrastructure supporting Fanatics’ technology ecosystem. Contribute to observability initiatives, including logging, metrics, and alerting, to improve system reliability and incident response. Partner with application and platform teams to improve performance, scalability, and reliability in cloud-native environments. Participate in incident response, post-incident reviews, and reliability improvements. Advocate for best practices in infrastructure, software delivery, and operational excellence. Provide technical guidance and mentorship to other engineers. Continuously learn and apply new technologies and approaches to platform engineering challenges. What We’re Looking For 8+ years of experience in platform, infrastructure, DevOps, or software engineering Proven experience successfully leading complex initiatives/projects while driving team strategy. Track record of breaking down complex work into clear, achievable milestones and delivering predictably using agile practices. Strong software engineering background, with experience in backend development and distributed systems. Deep understanding of the AWS cloud platform and cloud-native architectures. Proficiency in Infrastructure as Code (Terraform, CloudFormation) and automation. Hands-on experience with CI/CD pipelines, deployment automation, and developer productivity tooling. Deep expertise with Kubernetes and container orchestration in production environments. Strong knowledge of observability (logging, metrics, tracing) and experience improving system visibility and reliability. Experience with incident management and operational best practices for large-scale systems. Proficiency in Go or Python. Familiarity with AI-assisted development tools. Familiarity with platform security concepts. Ability to collaborate effectively across teams, communicate complex topics clearly, and influence engineering best practices. Outcome-driven mindset with a focus on solving real-world engineering challenges. A positive, adaptable attitude suited for a fast-moving environment. Comfortable operating in a fast-paced, evolving environment. Nice To Have Experience scaling services globally FinOps or cloud cost management experience Regulated or high-availability environment experience Experience with Java or Kotlin Familiarity with GitHub Actions Experience with Kafka and Cassandra Why Join Us? Work on high-impact platform engineering challenges at scale. Collaborate with experienced engineers who value technical excellence and innovation. Play a key role in shaping the developer experience and operational foundations of Fan Ecosystem. Join a culture that encourages learning, growth, and technical leadership. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ #LI-VG1 Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $200,000 — $250,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: Poland; Armenia; Azerbaijan; Georgia; Serbia; Estonia Intetics Inc. , a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced Python Team Lead to join our dynamic team on a full-time basis. About the Client Our client is an international provider of intellectual property services and technology solutions, helping businesses protect and manage innovations through patent translation, international filing, patent research, and renewal services. About the Project The project focuses on replacing complex, labour-intensive backend business processes with Python-based automation and LLM-powered solutions. You will join as the first engineer and Team Lead of a growing contractor team, establishing the technical foundations and helping shape how the team works and delivers. You will collaborate closely with an AI & Automation Product Manager with experience at Meta, turning business challenges into practical solutions. This is a hands-on leadership role requiring strong Python expertise, excellent communication skills, and the confidence to take ownership of problems from discovery through production. Responsibilities Lead the technical delivery of automation initiatives, taking responsibility for solution quality and delivery outcomes. Work closely with the Product Manager and business stakeholders to understand existing workflows, clarify requirements, and define priorities. Translate complex business problems into actionable technical plans and clearly scoped tasks. Design and develop Python services, automated workflows, and integrations with existing systems and APIs. Apply LLM capabilities where they provide measurable value, with appropriate validation and human review. Establish engineering standards, development practices, and a collaborative team culture. Guide and mentor engineers, delegate responsibilities, and provide constructive feedback and code reviews as the team grows. Proactively identify risks, resolve blockers, and communicate progress and trade-offs clearly. Lead technical discussions, handle disagreements constructively, and help stakeholders reach informed decisions. Ensure solutions include appropriate testing, monitoring, error handling, and production support. Requirements Strong commercial experience building and maintaining production systems with Python. Proven experience leading an engineering team while remaining actively involved in technical design and development. Excellent interpersonal and communication skills, including active listening, constructive feedback, and effective conflict resolution. Strong ownership: the ability to independently drive problems from initial investigation to a working production solution. Experience collaborating directly with Product Managers and business stakeholders, translating business goals into technical delivery. Ability to organise team workloads, delegate effectively, support engineers, and maintain accountability for commitments. Experience delivering backend automation, system integrations, or solutions that replace manual business processes. Practical experience integrating LLMs into applications or automated workflows. Strong backend engineering fundamentals, including APIs, databases, data processing, and reliable error handling. Experience with automated testing, Git, and production deployment practices. Ability to work effectively with evolving requirements, make pragmatic decisions, and explain technical trade-offs. Strong spoken and written English, sufficient to lead discussions, clarify complex requirements, and confidently challenge assumptions. Nice to Have Experience building a new engineering team or establishing delivery processes from scratch. Experience interviewing and onboarding engineers. Experience with document processing, information extraction, or document-heavy workflows. Experience evaluating LLM outputs for accuracy, reliability, latency, and cost. Experience with workflow orchestration, background jobs, and asynchronous processing.

разрабатывать с нуля AI-агентов и микросервисы для AI-продуктов. исследовать и внедрять новейшие технологические решения в ИИ - Claw-like & Ouroboros.