Вакансии

Location: Clarksville, TN Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations.  Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions.  Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment.  Join us and become a part of a company that is shaping the future of technology.  At LG, we strive to make Life Good for Everyone. Responsibilities: Responsible for training Injection Molding Operators on equipment and processes Assists Injection Molding Operators in diagnosing mechanical problems and determining how to correct Identify training and development needs through regular conversation and observation Assists Manager with reviewing Injection Molding Operator performance Assists in the development and update of Injection Molding training manuals Responsible for visual inspection of production for defects based on standard Monitor product for any quality issues Achieve established daily performance target Operate the Injection Molding Machine, and make necessary changes to ensure product specifications are met Perform basic troubleshooting and routine maintenance on Injection Molding Machine and auxiliary equipment Get the proper material to the required machine in a safe and efficient manner Qualifications: High School Diploma Over 10 years Injection Mold experience preferred Experience in mentoring and/or coaching Injection Molding Operators Strong understanding of production of complex equipment and system integration Strong knowledge of manufacturing methods and process improvements Ability to use strong skills in analyzing, troubleshooting and evaluating problems Exceptional written and oral communication skills Strong knowledge of manufacturing including machine capabilities and efficiencies, etc. Some occasional international travel required Must be able to work 12 hour shift (6:00 P.M. - 6:30 A.M.) Benefits Offered Full-Time Employees: No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits. Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options. Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time. Performance based Short-Term Incentives (varies by role). Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives. Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities. Group Rate Life and Disability Insurance. Benefits Offered Temporary/Contractors: Eligible for the relevant benefit programs offered through our partner agencies. Privacy Notice to California Applicants Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or support@lg4me.freshdesk.com. This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied .

Location: Ho Chi Minh City, Vietnam About Our Client Our client is a well-established medical technology and healthcare distribution company committed to providing clinically proven, safe, effective, and high-quality products to healthcare professionals. Since its establishment, the company has focused on introducing advanced medical technologies and healthcare solutions to the market while maintaining high standards of quality and customer service. With a strong presence across multiple countries in the region, our client serves a broad network of clinics, hospitals, and healthcare providers through an extensive distribution network, supported by long-term partnerships and a commitment to innovation. Job Description Our client is looking for a high-performing Sales Manager who combines strong sales execution with the ambition and potential to grow into a future leadership role. The ideal candidate should have a proven ability to build strong relationships with doctors and key accounts, develop new business opportunities, and consistently deliver sales results. Importantly, our client is looking for someone who is excited by the challenge of launching new injectable products. This talent can build product confidence among physicians, identify early adopters and KOLs, generate momentum in the market, and progressively convert interest into sustainable adoption and sales. Beyond individual performance, our client is looking for someone who demonstrates leadership potential. This means being willing to take ownership beyond their own territory, share knowledge and best practices with colleagues, support, and influence others positively, and demonstrate the maturity and accountability expected of a future team leader. The successful candidate should be ambitious to progress into a leadership position within approximately 12 months, subject to demonstrating strong sales performance, successful product-launch execution, and readiness to lead others. Key Responsibilities Client Relationship Management: Build and maintain strong relationships with doctors, clinics and Key Opinion Leaders (KOLs), with a focus on building product confidence and developing long-term customer partnerships. Sales Target Achievement: Meet or exceed monthly and quarterly sales goals through strong sales execution, new business development and successful conversion of product interest into sustainable sales. New Product Launch & Market Development: Support the launch and market penetration of new injectable products by identifying early adopters and KOLs, generating market momentum and driving product adoption. Market Research & Strategy: Stay up to date with market trends, customer needs and competitor activity to identify opportunities, understand market potential and support effective product positioning. Product Training & Education: Educate doctors and clinic teams on product benefits, technology, clinical advantages and proper usage to build product confidence and encourage adoption. Reporting & Analysis: Submit regular sales performance reports, product launch updates and market feedback to track progress, identify challenges and recommend opportunities for growth. Team Collaboration & Leadership: Share product knowledge, market insights and best practices with colleagues, support team initiatives and demonstrate the ownership, maturity and ability to influence others expected of a future team leader. Key Requirements Bachelor’s degree in Pharmaceutical Sciences, Life Sciences, or a related field. Minimum 4 years of experience in medical/pharmaceutical sales. Existing experience in dermatological or skincare products, preferably in mid premium segment. Excellent communication and interpersonal skills – understanding and ability to communicate in English. Strong negotiation and persuasion abilities and ability to position products based on technology and clinical advantages. Understanding of Clinic and stakeholder motivations, influencing factors and “partnership” mindset. Strong Business acumen & hunger to maximize potential with existing client and drive new clinic expansion and curiosity to understand business potential. Strong collaboration mindset and desire to work with colleagues for synergies. Self-driven, goal-oriented, and proactive. Demonstrated leadership potential, with the ambition and ability to progress towards a team leadership role, subject to strong sales performance, successful product-launch execution and readiness to lead others. Why choose our client? Supportive workplace culture Excellent exposure with continuous learning opportunities Clear paths for career growth and advancement

Location: Petaling Jaya, Malaysia About Our Client Our client is a well-established medical technology and healthcare distribution company committed to providing clinically proven, safe, effective, and high-quality products to healthcare professionals. Since its establishment, the company has focused on introducing advanced medical technologies and healthcare solutions to the market while maintaining high standards of quality and customer service. With a strong presence across multiple countries in the region, our client serves a broad network of clinics, hospitals, and healthcare providers through an extensive distribution network, supported by long-term partnerships and a commitment to innovation. Job Description Our client is looking for a motivated and results-driven Business Development Executive to join their team, focusing on medical devices/injectable products. In this role, you will be responsible for developing and executing sales strategies, building strong relationships with healthcare professionals, and driving new business opportunities. This position is ideal for individuals with experience in medical sales who are eager to grow their career in a supportive and collaborative environment. Key Responsibilities Promote and sell our range of medical devices/injectable products to medical professionals in clinics and hospitals Conduct product demonstrations to showcase the benefits and features of medical devices/injectable products Work with marketing team to achieve a synergy of marketing plans with sales efforts Support the implementation of events such as product launches, trade exhibitions, seminars, workshops, product demonstrations, etc Develop, build and maintain relationships with healthcare professionals and clients Identify potential clients and generate new business opportunities Attend industry conferences and trade shows to generate leads and expand the customer base Collaborate with internal teams to ensure timely delivery of orders Key requirements Preferably with experience in medical device and injectable products Passion for and strong interest in the medical aesthetic industry Excellent communication and interpersonal skills Strong negotiation and persuasion abilities Able to build and maintain strong relationships with healthcare professionals and clients Positive, dynamic and results-oriented Pleasant disposition Team player and self-starter Why choose our client? Supportive workplace culture Excellent exposure with continuous learning opportunities Clear paths for career growth and advancement

Задачи: — Анализировать бизнес-процессы, рассчитывать эффект, ROI и стоимость владения решением. — Запускать AI-пилоты или автоматизацию от идеи до результата. — Понимать архитектуру LLM, включая токенизацию, контекстное окно, temperature, embeddings, fine-tuning, RAG, function calling и агентов. — Работать с моделями OpenAI, Anthropic, Google, open-source (Llama, Mistral, Qwen и др.) через API и интерфейсы. — Использовать Python, SQL, REST API, JSON; понимать LangChain/LlamaIndex и vector DB. — Владеть знаниями no-code/low-code автоматизации: n8n, Make, Zapier, Power Automate и аналогами. — Иметь базовое понимание ML: типы задач, метрики, переобучение, A/B-тесты. — Знать основы информационной безопасности и комплаенса: 152-ФЗ/GDPR, prompt injection, утечки данных, галлюцинации. Условия: — Фултайм, удаленно или гибрид.

Location: Ukraine; Moldova; Albania; Kazakhstan; Montenegro; European Union; Serbia; Georgia Workplace: Remote ABOUT US Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/ ABOUT THE ROLE At Ruby Labs we are looking for an AI Engineer (Strong Middle / Senior level) to own and drive the quality, reliability and evolution of our AI systems in production. This is a high-ownership role. You will be responsible for end-to-end delivery of AI features, production stability of AI systems, and data-driven experimentation using tools like Langfuse and Cloudflare AI gateway for model routing. Increasingly, this includes agentic, tool-using AI systems: defining clean tool contracts (including MCP-based tools) and orchestrating how AI interacts with internal services, search and background pipelines. The stack is TypeScript end to end: Node.js and Hono services on Cloudflare Workers with Durable Objects and Containers, PostgreSQL, OpenSearch. Models from several providers run behind an AI gateway, with prompts, traces and evaluations in Langfuse. KEY RESPONSIBILITIES AI Systems Ownership & Feature Delivery - Take ownership of major AI features and LLM workflows and deliver them to production within agreed timelines. - Own AI output quality, structure and predictability across user-facing AI interactions, with consistent structured output across different LLMs for the same request type. - Integrate and orchestrate multiple LLM providers through an AI gateway, managing model selection, fallback strategies and cost optimisation. - Design and orchestrate tool-using and agentic AI workflows: clean tool contracts (including MCP-based tools), function-calling interfaces and reliable AI-to-system integrations. - Build and maintain multi-step LLM workflows and RAG pipelines (indexing, embeddings, retrieval, re-ranking) for reasoning, context reuse and search. Prompt Engineering, Evaluation & Experimentation - Design and manage production prompt systems with dynamic prompting, context injection, and conditional logic. - Own prompt management, the release of LLM experiments and Langfuse-based evaluation pipelines: test datasets, LLM-as-a-judge, output scoring. - Run A/B tests across models and prompts, analyse the results and present the data-driven impact of AI features and experiments. - Deep-debug LLM chains using Langfuse traces: identify bottlenecks, optimise for cost, latency and context-window usage, and root-cause hallucinations and logic errors. Code Quality & Production Reliability - Write clean, scalable and maintainable TypeScript across the Node.js / Cloudflare Workers stack. - Build reliable backend logic for AI systems: request and output validation, error handling, fallback flows for malformed or low-quality model responses, and reliable tool execution. - Ensure high code quality through tests (including validation and fallback paths for AI output), code reviews and clear engineering standards. - Monitor AI system metrics, quality signals, latency and release health, and resolve production issues with a documented root cause. - Document prompt designs, model and routing choices, evaluation results and architectural decisions, so others can pick up the work. QUALIFICATIONS - 4+ years of backend/fullstack software engineering experience, with production-grade TypeScript/Node.js. - 1+ year of AI/LLM systems in production with real users, not only side projects or experiments. - Daily use of AI-centred development tools (Claude Code, Cursor or similar). - Deep hands-on experience with LLM APIs (OpenAI, Anthropic, Google Gemini or similar) in production: structured output, function calling, streaming, token and cost control. - Experience with agentic AI, multi-step orchestration, tool-based workflows (function calling / tool execution) or RAG pipelines (indexing, retrieval, re-ranking). - Experience with LLM observability and evaluation tools (Langfuse, LangSmith or similar). - Experience with AI gateways and model routing (OpenRouter, Cloudflare AI Gateway or equivalent). - Solid understanding of relational databases (PostgreSQL) and caching (Redis, KV or similar). - Exceptional ownership and personal responsibility for engineering quality and delivery. NICE TO HAVE - Evaluation frameworks (LLM-as-a-judge, RAGAS) and building test datasets. - MCP (Model Context Protocol): building MCP servers/clients or designing tool contracts for AI agents. - Edge/serverless runtimes (Cloudflare Workers) and their services: KV, Durable Objects, Queues, R2, Containers. - Search engines and vector search (OpenSearch, Elasticsearch, pgvector), embeddings. - Background workflow engines (Hatchet, Temporal, Inngest) for high-volume LLM pipelines. - Browser automation and browser agents (Playwright, CDP, browser-use). - Practical fine-tuning for domain-specific tasks or strict JSON/schema compliance. - Working Python for data science, evaluation scripts, or AI tooling. LOCATION Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours. BENEFITS Discover the perks of being part of our vibrant team! We offer: - Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance. - Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days. - Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge. - Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them. - Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth! INTERVIEW PROCESS After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps: - Recruiter Screening (40 minutes) - Technical Interview (90 minutes) - Final Interview (60 minutes) LIFE AT RUBY LABS At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day. This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen. Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success. #LI-Remote

Задачи: — Разработка и сопровождение backend-сервисов на .NET 8/10; — Работа с ASP.NET Core, Web API, Background Services / Consumers; — Реализация новой функциональности и доработка существующей бизнес-логики; — Разработка и поддержка REST API и интеграций с внутренними системами; — Работа с базами данных: разработка запросов, миграций, оптимизация существующих операций; — Работа с MSSQL и PostgreSQL; — Разработка и оптимизация SQL-запросов; — Разработка и сопровождение асинхронных взаимодействий через брокеры сообщений; — Работа с RabbitMQ; — Использование Redis для кеширования, блокировок и технических сценариев; — Работа с Docker; — Настройка конфигураций приложения для разных контуров; — Анализ логов и ошибок через Kibana, OSD, Sentry, Grafana и другие средства мониторинга; — Диагностика проблем интеграций, HTTP, IIS/nginx, баз данных и очередей; — Исправление дефектов и участие в разборе инцидентов; — Поддержка приложений в контурах Test / Stage / Prod; — Участие в развитии логирования, мониторинга и технических метрик; — Code Review в рамках команды; — Написание unit/integration-тестов; — Работа с техническим долгом и рефакторинг существующего кода. Требования: — Уверенное знание C# и .NET / ASP.NET Core; — Понимание ООП, SOLID и основных паттернов проектирования; — Опыт разработки REST API; — Понимание Dependency Injection, middleware, конфигурации и жизненного цикла приложения; — Уверенное знание SQL, опыт работы с MSSQL или PostgreSQL; — Понимание индексов, транзакций, блокировок и базовых принципов оптимизации запросов; — Опыт работы с ORM; — Понимание принципов асинхронного программирования; — Понимание работы брокеров сообщений и событийного взаимодействия; — Базовое понимание Docker и CI/CD; — Понимание HTTP/HTTPS, сетевого взаимодействия и принципов работы reverse proxy; — Умение самостоятельно диагностировать типовые проблемы приложения; — Опыт работы с логированием и мониторингом; — Умение работать с Git и проводить Code Review; — Способность самостоятельно выполнять задачу от постановки до выпуска на тестовый контур. Условия: — Официальное трудоустройство по ТК РФ; — Возможность удаленной работы на территории РФ; — Комфортный офис в двух минутах от метро Баррикадная; — Софинансирование ДМС; — Скидки и бонусы от партнеров: спорт, обучение, путешествия; — Программы обучения по работе с Искусственным интеллектом для всех сотрудников компании; — Возможность учиться у профессионалов отрасли и влиять на значимые проекты для города.

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are looking for candidates in the US and Canada. The Opportunity: Grafana Enterprise is our composable observability platform focused on large-scale operators with security and regulatory requirements who need to self-operate their observability solutions. Grafana Enterprise features are also part of our Grafana Cloud service. Grafana Cloud is an integrated suite of observability applications offered as a service. It allows our customers to leverage the best open source observability software, including Prometheus, Mimir, Loki, and Tempo,  without the overhead of installing, maintaining, and scaling their own observability stack. The Grafana Enterprise team is a diverse team of expert technologists working remotely from around the globe. The team focuses on innovative solutions to large-scale customer challenges and developing solutions that improve security, robustness, flexibility, multitenancy, and interoperability on behalf of our customers. We work across the larger Grafana Labs organisation and directly with external customers, including major cloud service providers and global enterprises running observability and build infrastructure at massive scale, to solve their most demanding distributed systems challenges. Our customers include software engineers, site reliability engineers, and platform operators at medium, large, and global enterprises. As a company we are remote-only and global; we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. Our meetings tend to happen between 14:00 and 17:00 UTC, but we are flexible and responsive to the needs of our engineers and our customers. We measure ourselves by our openness, helpfulness, and our shared successes. We are looking for experienced software engineers who are passionate about distributed systems and building reliable, scalable backend infrastructure to join our growing team. Our backend is Go, and we build tools for people operating some of the world's largest observability and software delivery stacks. Backend Engineers at Grafana also contribute to open source communities. What You’ll Be Doing: Earning the trust of our large-scale operator customers to further Grafana's "big tent" philosophy of data accessibility and to meet clear business objectives Designing and leading the development of backend services, distributed systems, and enterprise features at scale Driving continuous improvement of our engineering culture through words and actions Driving projects from initial ideation through the development lifecycle to production Contributing to the scalability, reliability, security, and multi-tenancy of the Grafana platform trusted by some of the world's largest operators Owning the operational health of our platform by participating in weekday 12h x 5d and separate weekend 24h x 2d on-call rotations. (Yes, we prioritize ops load reduction.) Hiring and developing the best engineers to build the future of Grafana Developing your skills as a thought leader to drive continuous improvement of engineering and operational practices across Grafana Labs As we are remote-first, we provide guidance and meet regularly using video calls, so strong teamwork and excellent written and interpersonal communication skills are a must. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.7, Gemini 3 Pro). What Makes You a Great Fit: You work well as a communicative member of a team of engineering professionals. You earn trust by saying what you mean and doing what you say. You are customer focused and especially attuned to the needs of large-scale operators who rely on Grafana as critical infrastructure. You start with their needs and work backwards. You insist on the highest standards and work to develop the skills and knowledge of your fellow team members. You take on complex distributed systems challenges, break them down into digestible problems, and leverage your team and organization to deliver. You design modular solutions, deliver minimum loveable products, gather data and feedback, and then progress iteratively. What will you be doing? (Role specifics) As a Staff Backend Engineer, you will design and build the backend systems powering Grafana Enterprise — the platform trusted by the world's largest operators to run their observability and software delivery infrastructure. Hiring and developing the best engineers we can to deliver the future of Observability. Architecting and implementing distributed backend services in Go, with a focus on correctness, observability, and performance at scale Designing APIs and service contracts used by thousands of enterprise operators and cloud service providers Collaborating with Product and UX to shape features and partnering with frontend engineers to ship complete, end-to-end solutions Driving scalability and reliability improvements that matter to large-scale operators running Grafana in regulated, high-availability environments Engaging directly with large enterprise customers and cloud service providers to understand their requirements and translate them into robust engineering solutions Advocating for our customers at every stage of the development lifecycle What technical competencies are we looking for? Deep professional experience writing production services, from ideation through to production operations at scale Strong distributed systems fundamentals: replication, consistency models, partitioning, fault tolerance, and the trade-offs that come with operating at scale Demonstrated experience designing and operating systems for large-scale, high-traffic, high-availability, or multi-tenant environments, ideally in the context of infrastructure, observability, or software delivery platforms Professional experience building and consuming gRPC/protobuf APIs and designing clean service contracts across service boundaries Strong database skills, such as PostgreSQL and/or MySQL; including schema design, query optimisation, and schema migrations at scale Experience with large-scale CI/CD systems and build tooling, designing, operating, or integrating with continuous delivery pipelines that serve large engineering organisations or external operators at scale Comfort working with Kubernetes and containerised deployment environments, including patterns for operating stateful workloads and multi-tenant clusters Experience with observability tooling: OpenTelemetry, Prometheus metrics, structured logging, and distributed tracing Familiarity with dependency injection patterns (e.g., Google Wire) and clean, testable service architecture What are your "nice to have" technical competencies? Experience with TypeScript and React for contributing to frontend features and collaborating closely with frontend engineers Experience with Grafana's LGTM+ observability stack (Loki, Mimir, Tempo, Pyroscope, Alloy) Prior experience at or building for large-scale cloud service providers, IaaS providers, or global enterprises with demanding SLA requirements Experience designing or operating large-scale build infrastructure artifact registries, distributed build caches, hermetic build systems (e.g., Bazel), or developer platform tooling In the United States, the compensation range for this role is $174,986 - $209,983 USD.  Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are looking for candidates in the US and Canada. The Opportunity: Grafana Enterprise is our composable observability platform focused on large-scale operators with security and regulatory requirements who need to self-operate their observability solutions. Grafana Enterprise features are also part of our Grafana Cloud service. Grafana Cloud is an integrated suite of observability applications offered as a service. It allows our customers to leverage the best open source observability software, including Prometheus, Mimir, Loki, and Tempo,  without the overhead of installing, maintaining, and scaling their own observability stack. The Grafana Enterprise team is a diverse team of expert technologists working remotely from around the globe. The team focuses on innovative solutions to large-scale customer challenges and developing solutions that improve security, robustness, flexibility, multitenancy, and interoperability on behalf of our customers. We work across the larger Grafana Labs organisation and directly with external customers, including major cloud service providers and global enterprises running observability and build infrastructure at massive scale, to solve their most demanding distributed systems challenges. Our customers include software engineers, site reliability engineers, and platform operators at medium, large, and global enterprises. As a company we are remote-only and global; we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. Our meetings tend to happen between 14:00 and 17:00 UTC, but we are flexible and responsive to the needs of our engineers and our customers. We measure ourselves by our openness, helpfulness, and our shared successes. We are looking for experienced software engineers who are passionate about distributed systems and building reliable, scalable backend infrastructure to join our growing team. Our backend is Go, and we build tools for people operating some of the world's largest observability and software delivery stacks. Backend Engineers at Grafana also contribute to open source communities. What You’ll Be Doing: Earning the trust of our large-scale operator customers to further Grafana's "big tent" philosophy of data accessibility and to meet clear business objectives Designing and leading the development of backend services, distributed systems, and enterprise features at scale Driving continuous improvement of our engineering culture through words and actions Driving projects from initial ideation through the development lifecycle to production Contributing to the scalability, reliability, security, and multi-tenancy of the Grafana platform trusted by some of the world's largest operators Owning the operational health of our platform by participating in weekday 12h x 5d and separate weekend 24h x 2d on-call rotations. (Yes, we prioritize ops load reduction.) Hiring and developing the best engineers to build the future of Grafana Developing your skills as a thought leader to drive continuous improvement of engineering and operational practices across Grafana Labs As we are remote-first, we provide guidance and meet regularly using video calls, so strong teamwork and excellent written and interpersonal communication skills are a must. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.7, Gemini 3 Pro). What Makes You a Great Fit: You work well as a communicative member of a team of engineering professionals. You earn trust by saying what you mean and doing what you say. You are customer focused and especially attuned to the needs of large-scale operators who rely on Grafana as critical infrastructure. You start with their needs and work backwards. You insist on the highest standards and work to develop the skills and knowledge of your fellow team members. You take on complex distributed systems challenges, break them down into digestible problems, and leverage your team and organization to deliver. You design modular solutions, deliver minimum loveable products, gather data and feedback, and then progress iteratively. What will you be doing? (Role specifics) As a Staff Backend Engineer, you will design and build the backend systems powering Grafana Enterprise — the platform trusted by the world's largest operators to run their observability and software delivery infrastructure. Hiring and developing the best engineers we can to deliver the future of Observability. Architecting and implementing distributed backend services in Go, with a focus on correctness, observability, and performance at scale Designing APIs and service contracts used by thousands of enterprise operators and cloud service providers Collaborating with Product and UX to shape features and partnering with frontend engineers to ship complete, end-to-end solutions Driving scalability and reliability improvements that matter to large-scale operators running Grafana in regulated, high-availability environments Engaging directly with large enterprise customers and cloud service providers to understand their requirements and translate them into robust engineering solutions Advocating for our customers at every stage of the development lifecycle What technical competencies are we looking for? Deep professional experience writing production services, from ideation through to production operations at scale Strong distributed systems fundamentals: replication, consistency models, partitioning, fault tolerance, and the trade-offs that come with operating at scale Demonstrated experience designing and operating systems for large-scale, high-traffic, high-availability, or multi-tenant environments, ideally in the context of infrastructure, observability, or software delivery platforms Professional experience building and consuming gRPC/protobuf APIs and designing clean service contracts across service boundaries Strong database skills, such as PostgreSQL and/or MySQL; including schema design, query optimisation, and schema migrations at scale Experience with large-scale CI/CD systems and build tooling, designing, operating, or integrating with continuous delivery pipelines that serve large engineering organisations or external operators at scale Comfort working with Kubernetes and containerised deployment environments, including patterns for operating stateful workloads and multi-tenant clusters Experience with observability tooling: OpenTelemetry, Prometheus metrics, structured logging, and distributed tracing Familiarity with dependency injection patterns (e.g., Google Wire) and clean, testable service architecture What are your "nice to have" technical competencies? Experience with TypeScript and React for contributing to frontend features and collaborating closely with frontend engineers Experience with Grafana's LGTM+ observability stack (Loki, Mimir, Tempo, Pyroscope, Alloy) Prior experience at or building for large-scale cloud service providers, IaaS providers, or global enterprises with demanding SLA requirements Experience designing or operating large-scale build infrastructure artifact registries, distributed build caches, hermetic build systems (e.g., Bazel), or developer platform tooling In Canada, the compensation range for this role is $186,368 - $223,642 CAD. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Задачи: — Разработка и развитие клиентской части высоконагруженных финансовых сервисов с использованием React и Angular, включая поддержку легаси, миграцию и микрофронтендную архитектуру. — Проектирование и интеграция интеллектуальных UI-агентов (LLM-ассистенты, Copilot-интерфейсы, автономные сценарии) в экосистему продукта. — Выстраивание масштабируемой архитектуры фронтенда с применением современных методологий, таких как Feature-Sliced Design. — Написание автоматизированных тестов для критически важных финансовых флоу. — Проведение код-ревью, проработка технических решений и оптимизация производительности (рендеринг, утечки памяти). Требования: — Экспертное владение TypeScript, включая сложную типизацию, дженерики, type guards и строгие режимы компиляции. — Уверенный коммерческий опыт работы с React и Angular. — Глубокое понимание жизненного цикла компонентов, реактивности, стейт-менеджмента (Redux/Zustand для React, RxJS/NgRx для Angular) и Dependency Injection. — Практический опыт покрытия кода тестами (Unit, Integration, E2E) с использованием Jest, Vitest, Testing Library, Playwright или Cypress. — Понимание принципов взаимодействия с LLM API и опыт разработки продуктов с использованием ИИ агентов. — Инженерное мышление, знание паттернов проектирования, алгоритмов и структур данных. — Способность решать нетиповые задачи, проектировать отказоустойчивые системы. — Знание специфики финансовых приложений, включая требования к безопасности, работу с большими объемами данных, сложными таблицами, графиками и веб-сокетами. — Высокий уровень самостоятельности, умение аргументировать технические решения и выстраивать коммуникацию в распределенной команде. Условия: — Официальное трудоустройство по ТК РФ. — Гибкий формат работы с возможностью удалённой работы или гибридного формата в Москве. — Офис в Москве в урбанистическом стиле рядом с метро Технопарк. — Расширенная программа ДМС со стоматологией с первого дня работы. — Доплата по больничному листу до 5 рабочих дней в год. — Линия психологической поддержки. — Врач в офисе и массажные кресла для сотрудников в Москве. — Бесплатные посещения фитнес-клуба А-sport на станции метро Технопарк. — Корпоративная программа профессионального обучения совместно с Альфа Групп. — Возможность участия в профильных конференциях и доступ к онлайн-библиотеке. — Карьерное развитие, программа наставничества, профессиональные коммьюнити. — Кафетерий льгот через 6 месяцев с возможностью выбора различных опций. — Корпоративные мероприятия и тимбилдинги в онлайн и офлайн формате. — Подарки к праздникам и материальная помощь по особым случаям. — 3 дня 100% оплачиваемых выходных в году. География работы: Москва, удалённо.

Location: Remote Workplace: Remote ABOUT INJECTIVE LABS Injective Labs is trailblazing a new dawn for Web3 enabled finance. We are the core contributors to Injective, one of the fastest growing blockchains in the industry. Injective provides an interoperable smart contracts platform that is optimized for building decentralized finance applications. Interoperability is at the core of Injective, which is natively integrated with chains such as Ethereum, Cosmos and Solana. Developers can rapidly launch premier financial applications suited for mass adoption using Injective’s infrastructure and specialized DeFi primitives such as the world’s first fully on-chain order book. Our team has decades of experience spearheading the largest financial institutions and tech organizations. Injective is incubated by Binance and is backed by leading firms such as Jump Crypto, Pantera and Mark Cuban. ABOUT THE ROLE We are looking for an accomplished Golang/Blockchain Engineer who is able to fit into an existing highly-skilled global dev team. RESPONSIBILITIES: - Build, maintain and test core components on our Cosmos-SDK protocol including our decentralized orderbook, trade execution coordinator, order matcher, and Layer-2 execution environment. - Write open-source Golang clients that allow users to interact directly with our protocol and smart contracts. - Build high performance REST & WebSocket APIs to power our exchange frontend as well as programmatic traders WHO YOU ARE: - Worked on at least two production Golang codebases that are reasonably large and performant - Familiar with Geth or Erigon - Strong knowledge of Go idioms and libraries - Strong knowledge of CS fundamentals such as data structures and API design - Strong understanding of blockchain - Ability to communicate technical concepts with other technical and non-technical team members NICE TO HAVE - Experience with Cosmos-SDK/Tendermint - Experience with Ethereum/Solidity (bonus points if you've worked with Layer-2 before!) - Knowledge of financial instruments and markets WHY WORK WITH US? - Competitive salary and INJ token award - Unlimited PTO - Equipment - Home Office Stipend - Flexible working hours - Opportunity to work on cutting-edge blockchain technology in the finance industry - Collaborative team culture with opportunities for professional growth and development - Global team meet ups As an equal opportunity employer we don’t tolerate discrimination or harassment of any kind. Whether that’s based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws. We will only contact candidates using emails from the @injectivelabs.org http://injectivelabs.org domain. If you are approached by any other account or domain regarding this position, it was not sent by us. Please stay cautious and report any suspicious communication.

Location: Cornell Center Animal Hospital - Beaverton, Oregon Cornell Center Animal Hospital is a Lakefield Veterinary Group clinic in Beaverton, Oregon. Our two-doctor clinic focused on providing high quality medicine, with in depth client education. We want our staff to use their skills and continue to grow in areas that will fulfill them. Cornell Center is looking to hire a veterinary assistant to work in rooms and complete technician appointments. Anesthetic, dental, and surgical skills are a plus but not required! The person joining our team will be an integral part of the daily workflow and morale of the clinic. Our perfect candidate is well organized, confident in their work, and love what they do. Required Skills - Obtain subjective information and TPRs - Collecting blood, urine, skin, and fecal samples - Additional technical skills such as ear cleaning, anal sac expressions, nail trims, filling medications, giving SQ/IM/IV injections - Thorough medical documentation including subjective and plan information - Thorough client education in wellness and basic illness conversations - Gentle handling and fear free type techniques with all pets. - Desire to learn and help those around them learn - Clean and disinfect kennels, exam rooms, surgical suite, and treatment areas - Help to answer phones when needed and have a basic understanding of reception duties (cross-training) - Comply with all practice policies, quality assurance guidelines, and minimum standards of care - Perform other duties as requested Preferred Skills - Experience in Cornerstone PIMs system - Comfortably monitor anesthesia, trouble shoot machines, and correct inadequate vitals with DVM direction - Perform dental prophy, scaling, and full mouth radiographs Requirements 2+ years' experience as a veterinary room assistant Essential Job Functions Veterinary assistants must have a broad knowledge of animal science and medicine. They must be able to soothe, restrain, administer medications, obtain samples, clean/sterilize, and educate clients. The successful candidate must be detail-oriented, well organized, and a team player. Surgery and dental experience is preferred but not required. Pay range between $20.00 and $23.00 per hour depending on experience and skill set. *Bilingual pay differential of $0.50 per hour is available. We are currently open Monday through Friday and plan to open on Saturdays in 2027. This position is open for full time or part time candidates. Benefits include but are not limited to: Paid time off, paid holidays, health, dental, vision, life insurance, referral programs, 401k, team member discounts, uniform allowance, bonus pay, Penn Foster tuition assistance and more! Working Conditions/Physical Demands While performing the duties of this job, the team member is regularly required to talk and hear. The team member must frequently use a computer for long periods of time. Specific vision abilities are required to do this job including close vision. This position requires walking, standing, and sitting for long periods of time. May be exposed to low to moderate noise levels as well as disinfectant/sanitation chemicals, pet dander, and excretions. May experience aggressive, frightened, abused or injured pets that bite and scratch. This position requires exerting up to 30 pounds of force occasionally, and/or 20 pounds frequently, and/or 10 pounds constantly to lift, carry, pull or move objects. Ability to work flexible hours including evenings and weekends. Supervisory Responsibilities This position does not have direct supervisory responsibilities About Lakefield Veterinary Group We believe exceptional veterinary care starts with exceptional people. We partner with hospitals across the country to preserve what makes each practice special - its people, culture, and connection to community - while providing the operational support and resources that allow teams to thrive. As we grow, we are committed to creating an environment where team members feel respected, supported, and empowered to deliver outstanding care. Our Values Our culture is built on five core values that guide how we work and serve: Respect, Learning, Do the Right Thing, Wow Service, and Fun. If these resonate with you, you’ll fit right in. Equal Employment Opportunity Lakefield Veterinary Group is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all team members and applicants.

Мы в поисках Middle / Middle+ Python Backend Developer. - Коммерческий опыт от 3 лет в backend-разработке, из них от 2 лет с Python;

- Design and implement UI for our Android tablet POS app using Jetpack Compose and Compose Multiplatform, working with our UI / UX designers. - Build shared business logic, networking, and data layers using Kotlin Multiplatform.

Location: Mexico POWER A WORLD OF TRUST Incode is the leading provider of world-class identity solutions that is reinventing the way humans authenticate and verify their identities online to power a world of digital trust. Through our revolutionary identity solutions, we are unleashing the business potential of universal industries including finance, government, retail, hospitality, gaming, and more, by reducing fraud and transforming human interactions with data, products, and services. We’re in the process of rapidly scaling our diverse global team and we’re looking for entrepreneurial individuals and leaders who are curious, driven, and excited by ownership to join a Unicorn-status scale-up! About Incode Incode is a Series B unicorn ($2 B valuation) rewriting how the world proves identity. Our AI-powered platform lets leading banks, fintechs, marketplaces, and governments deliver friction-free experiences while defeating fraud and safeguarding privacy. Customers such as Citi, AirBnB, Block, Chime, Sixt, and TikTok rely on Incode to power their identity verification and security. Recently named a leader in the Gartner® Magic Quadrant™ for Identity Verification, we’re scaling fast. The Impact You’ll Make As a Senior Solutions Engineer – Web on our post-sales team, you'll make sure every customer integration of the Incode platform is successful, reliable, and scalable. You'll guide enterprise customers from kickoff to go-live, keep their live integrations healthy as the platform evolves, and bring the voice of the customer to Product and Engineering. What You’ll Own & Drive Integration Delivery • Guide enterprise customers through the end-to-end integration of Incode's platform, SDKs, and APIs, from kickoff to go-live. • Train customer technical teams and translate their use cases into the right platform integration. • Provide technical guidance, such as web application architecture design, when customers need it. • Assess custom and feature requests, and work with internal teams to deliver the ones we take on. Production Support • Serve as the advanced escalation point for issues in live integrations: reproduce, find the root cause, and drive the fix. • Guide customers through troubleshooting and resolving issues in their own integration code. • Partner with Incode Engineering to diagnose and resolve platform issues, escalating with clear, actionable detail. Integration Health • Review upcoming platform releases and anticipate their impact on customers. • Proactively review customer integrations to improve performance. • Lead customers through upgrades, migrations, and deprecations. Team and Platform • Contribute to our developer documentation and code samples. • Mentor fellow engineers and share best practices. • Build internal tools that make the team more efficient. • Advise customers and internal teams on technical capabilities when needed. The Qualities That Set You Apart Customer-Centric Engineer – You take ownership of every integration and don't rest until the customer is live and stable. Deep Web Technologist – You have a strong command of modern JavaScript, SDKs, and web security — and you're energized by complex integration puzzles. Clear Communicator – You translate engineering concepts into plain language for business stakeholders and provide precise technical detail when escalating internally. Proactive Partner – You anticipate platform changes, flag risks early, and lead customers through transitions before they become incidents. AI-Augmented – You use AI coding assistants as a force multiplier — and you have the judgment to verify what they produce. Your Background Required • 5+ years in a customer-facing technical role, such as solutions, integration, or support engineering, ideally in enterprise SaaS. • Bachelor's degree in Computer Science or a related field, or equivalent practical experience. • Advanced JavaScript (ES6+) and TypeScript, HTML, and CSS, with experience in a modern framework such as React (including Next.js), Angular, or Vue.js, and an understanding of how client-side SDKs behave in server-rendered apps. • Strong REST API and webhook integration and debugging skills, including browser dev tools, network traces, logs, and API clients such as Postman. • Experience integrating and troubleshooting third-party web SDKs. • Solid grasp of web security: CORS, Content Security Policy, CSRF, XSS, OAuth 2.0 / OpenID Connect, and JWT. • Proficiency with Git and the modern JavaScript toolchain, such as npm or pnpm and Vite. • Hands-on use of AI coding assistants, such as GitHub Copilot, Cursor, or Claude Code, to speed up debugging, code review, and sample integrations, with the judgment to verify what they produce. • Responsible use of AI tools in customer work: you know what data can and cannot be shared, in line with security and privacy policies. • Understanding of software architecture and system integration patterns. • Clear communication with both engineers and business stakeholders. • Professional fluency in English and Spanish. • Willingness to travel when required. Nice to Have • Experience with identity verification, KYC, fraud prevention, or biometrics. • Understanding of AI-driven fraud, such as deepfakes, injection attacks, and synthetic identities. • Familiarity with cloud platforms and CI/CD pipelines. • Experience with testing frameworks such as Vitest, Jest, or Playwright. • Experience building with LLM APIs, AI agents, or the Model Context Protocol (MCP) to automate workflows or internal tools. • Experience with browser camera and media APIs, such as getUserMedia and WebRTC, across desktop and mobile browsers. • Background in networking, security, or compliance. • Experience writing developer documentation or building internal tools. Why Incode? Mission with Meaning – Shape how billions of people prove identity—safely, simply, and ethically. Rocket-Ship Growth – Join at an inflection point where your strategies will compound in value for years. Elite Team & Backing – Work a truly global with top engineers, designers, and investors who share your ambition to dominate a category. Ownership & Autonomy – Operate like a founder with the resources of a unicorn. Global Impact – Every program you launch will reverberate across industries and continents. Ready to ignite the future of trust? Lead the narrative. Empower the field. Join Incode and turn innovation into unstoppable market momentum. Aspects of our Culture: High performance Freedom & responsibility Context, not control Highly aligned, loosely coupled Continuous Feedback Promotions & Development Learn more about Life at Incode ! Benefits & Perks: Flexible Working Hours & Workplace Open Vacation Policy Equal Opportunities: Incode is an equal opportunity employer, committed to creating a diverse and inclusive work environment. We take great pride in having an inclusive, diverse, and global team, and we are always looking for talented and passionate individuals from all backgrounds and walks of life. As part of our commitment to inclusion, we ensure that reasonable accommodations are available throughout the hiring process. If you require any accommodation due to a disability or specific need, please let our Talent Acquisition team know—we’ll do our best to support you. Applicant Data Privacy: We will only use your personal information concerning Incode’s application, recruitment, and hiring processes.

Location: United States POWER A WORLD OF TRUST Incode is the leading provider of world-class identity solutions that is reinventing the way humans authenticate and verify their identities online to power a world of digital trust. Through our revolutionary identity solutions, we are unleashing the business potential of universal industries including finance, government, retail, hospitality, gaming, and more, by reducing fraud and transforming human interactions with data, products, and services. We’re in the process of rapidly scaling our diverse global team and we’re looking for entrepreneurial individuals and leaders who are curious, driven, and excited by ownership to join a Unicorn-status scale-up! About Incode Incode is a Series B unicorn ($2 B valuation) rewriting how the world proves identity. Our AI-powered platform lets leading banks, fintechs, marketplaces, and governments deliver friction-free experiences while defeating fraud and safeguarding privacy. Customers such as Citi, AirBnB, Block, Chime, Sixt, and TikTok rely on Incode to power their identity verification and security. Recently named a leader in the Gartner® Magic Quadrant™ for Identity Verification, we’re scaling fast. The Impact You’ll Make As a Senior Solutions Engineer – Web on our post-sales team, you'll make sure every customer integration of the Incode platform is successful, reliable, and scalable. You'll guide enterprise customers from kickoff to go-live, keep their live integrations healthy as the platform evolves, and bring the voice of the customer to Product and Engineering. What You’ll Own & Drive Integration Delivery • Guide enterprise customers through the end-to-end integration of Incode's platform, SDKs, and APIs, from kickoff to go-live. • Train customer technical teams and translate their use cases into the right platform integration. • Provide technical guidance, such as web application architecture design, when customers need it. • Assess custom and feature requests, and work with internal teams to deliver the ones we take on. Production Support • Serve as the advanced escalation point for issues in live integrations: reproduce, find the root cause, and drive the fix. • Guide customers through troubleshooting and resolving issues in their own integration code. • Partner with Incode Engineering to diagnose and resolve platform issues, escalating with clear, actionable detail. Integration Health • Review upcoming platform releases and anticipate their impact on customers. • Proactively review customer integrations to improve performance. • Lead customers through upgrades, migrations, and deprecations. Team and Platform • Contribute to our developer documentation and code samples. • Mentor fellow engineers and share best practices. • Build internal tools that make the team more efficient. • Advise customers and internal teams on technical capabilities when needed. The Qualities That Set You Apart Customer-Centric Engineer – You take ownership of every integration and don't rest until the customer is live and stable. Deep Web Technologist – You have a strong command of modern JavaScript, SDKs, and web security — and you're energized by complex integration puzzles. Clear Communicator – You translate engineering concepts into plain language for business stakeholders and provide precise technical detail when escalating internally. Proactive Partner – You anticipate platform changes, flag risks early, and lead customers through transitions before they become incidents. AI-Augmented – You use AI coding assistants as a force multiplier — and you have the judgment to verify what they produce. Your Background Required • 5+ years in a customer-facing technical role, such as solutions, integration, or support engineering, ideally in enterprise SaaS. • Bachelor's degree in Computer Science or a related field, or equivalent practical experience. • Advanced JavaScript (ES6+) and TypeScript, HTML, and CSS, with experience in a modern framework such as React (including Next.js), Angular, or Vue.js, and an understanding of how client-side SDKs behave in server-rendered apps. • Strong REST API and webhook integration and debugging skills, including browser dev tools, network traces, logs, and API clients such as Postman. • Experience integrating and troubleshooting third-party web SDKs. • Solid grasp of web security: CORS, Content Security Policy, CSRF, XSS, OAuth 2.0 / OpenID Connect, and JWT. • Proficiency with Git and the modern JavaScript toolchain, such as npm or pnpm and Vite. • Hands-on use of AI coding assistants, such as GitHub Copilot, Cursor, or Claude Code, to speed up debugging, code review, and sample integrations, with the judgment to verify what they produce. • Responsible use of AI tools in customer work: you know what data can and cannot be shared, in line with security and privacy policies. • Understanding of software architecture and system integration patterns. • Clear communication with both engineers and business stakeholders. • Professional fluency in English and Spanish. • Willingness to travel when required. Nice to Have • Experience with identity verification, KYC, fraud prevention, or biometrics. • Understanding of AI-driven fraud, such as deepfakes, injection attacks, and synthetic identities. • Familiarity with cloud platforms and CI/CD pipelines. • Experience with testing frameworks such as Vitest, Jest, or Playwright. • Experience building with LLM APIs, AI agents, or the Model Context Protocol (MCP) to automate workflows or internal tools. • Experience with browser camera and media APIs, such as getUserMedia and WebRTC, across desktop and mobile browsers. • Background in networking, security, or compliance. • Experience writing developer documentation or building internal tools. Why Incode? Mission with Meaning – Shape how billions of people prove identity—safely, simply, and ethically. Rocket-Ship Growth – Join at an inflection point where your strategies will compound in value for years. Elite Team & Backing – Work a truly global with top engineers, designers, and investors who share your ambition to dominate a category. Ownership & Autonomy – Operate like a founder with the resources of a unicorn. Global Impact – Every program you launch will reverberate across industries and continents. Ready to ignite the future of trust? Lead the narrative. Empower the field. Join Incode and turn innovation into unstoppable market momentum. Aspects of our Culture: High performance Freedom & responsibility Context, not control Highly aligned, loosely coupled Continuous Feedback Promotions & Development Learn more about Life at Incode ! Benefits & Perks: Flexible Working Hours & Workplace Open Vacation Policy Equal Opportunities: Incode is an equal opportunity employer, committed to creating a diverse and inclusive work environment. We take great pride in having an inclusive, diverse, and global team, and we are always looking for talented and passionate individuals from all backgrounds and walks of life. As part of our commitment to inclusion, we ensure that reasonable accommodations are available throughout the hiring process. If you require any accommodation due to a disability or specific need, please let our Talent Acquisition team know—we’ll do our best to support you. Applicant Data Privacy: We will only use your personal information concerning Incode’s application, recruitment, and hiring processes.

- Разрабатывать и развивать мобильные приложения на Flutter (iOS и Android). - Реализовывать новые функции и интегрировать REST API.

Задачи: — Проводить аудиты безопасности ML/LLM-систем, включая инференс-сервисы, RAG-пайплайны, агентов с доступом к инструментам, MCP-серверы, ML-платформу и её артефакты (модели, датасеты, фичестор). — Проводить атаки на системы на базе ИИ, включая прямой и косвенный prompt injection, джейлбрейки, эксфильтрацию системных промптов и данных, злоупотребление tool calling, выход агента за границы разрешённого, отравление данных и моделей, атаки на цепочку поставки (веса, pickle, кастомные операторы, сторонние модели). — Развивать DAST под AI-эндпоинты: создавать харнесс и сканер для LLM-интерфейсов, автоматизированные наборы атак, регрессионное тестирование моделей и защитных механизмов, встраивать проверки в CI/CD. — Проверять эффективность защитных механизмов (гарды входа и выхода, фильтры, лимиты, изоляция инструментов и данных) и формировать обоснованные требования к ним. — Формировать стандарты безопасной разработки AI-сервисов: модели угроз, чек-листы ревью, требования к правам агентов, работе с секретами и изоляции окружений. — Разрабатывать автоматизацию и инструментарий на Python или Go, интегрировать его с существующими системами (ASOC, Jira, CI/CD, SIEM). — Участвовать около 20% времени в проектах команды по безопасности приложений. — Работать в тесном контакте с командами ML-платформы, разработки и инфраструктурной безопасности. Требования: — Знание основных уязвимостей веб-приложений и API (OWASP Top 10) на уровне, достаточном для их обнаружения и объяснения. — Понимание ML-процессов: обучение моделей, валидация, вывод в продакшен, состав ML-пайплайна (данные, обучение, хранение и сериализация весов, реестр моделей, инференс). — Практическое понимание LLM: инференс, RAG, агентные архитектуры, tool calling, опыт работы с API моделей и промпт-инжиниринг. — Знание специфических рисков AI-систем: prompt injection, отравление данных, атаки на цепочку поставки моделей. — Базовое понимание операционных систем, сетей, контейнеров и Kubernetes. — Самостоятельность и готовность работать в области без устоявшихся методологий и создавать их. Будет плюсом: — Опыт в ML-разработке или MLOps. — Опыт с инференс-стеком (Triton, vLLM, TGI), MLflow или Kubeflow, реестрами моделей. — Коммерческий опыт пентестов или аудитов безопасности приложений. — Знакомство с MCP и фреймворками агентных систем (LangGraph, LangChain, CrewAI и аналоги). — Опыт разработки гардов и фильтров для LLM-трафика. — Публичные исследования, CVE, доклады, участие в AI red teaming или в программах bug bounty по LLM. Условия: — Возможность выбора формата работы: гибрид, удалёнка, офисы в Москве, Санкт-Петербурге, Иннополисе, Новосибирске и других городах России, а также в Казахстане и Беларуси. — Участие в конференциях, митапах, техтоках, хакатонах и конкурсах. — Оплата билетов, дороги и проживания для участия в мероприятиях. — Завтраки в офисе и кофе-поинты для перекуса. — ДМС со стоматологией и льготная медицинская страховка для близких, страхование от несчастных случаев, полис выезжающего за рубеж, онлайн-поддержка психолога. — Курсы по запросу и поддержка в карьерном развитии. — Бесплатные курсы программирования, математики и английского языка для детей сотрудников. — Партнёрские скидочные программы, спортивные клубы, скидки на клубные карты фитнес-сетей, йога в офисе. — Бесплатные курсы Route 256 по Go, QA, C#. — Оплачиваемая стажировка Route Start для начинающих специалистов. — Зарплатные проекты от Ozon Банка и других банков. — Льготная жилищная программа для сотрудников. — Реферальный бонус за рекомендацию друга.

Задачи: — Создание безопасной среды для работы коллег с AI. — Помощь в запуске проектов на серверах компании, Yandex Cloud и Yandex AI Studio. — Адаптация AI-решений под глобальные модели. — Работа с open-source моделями: выбор, расчёт оборудования, настройка и поддержка сервиса. — Автоматизация рутинных задач с AI-ассистентами. — Проведение воркшопов и консультаций, подготовка внутренних тренеров. — Оценка AI-решений головного офиса совместно с бизнес-владельцами. — Создание прототипов и пилотов с интеграцией в корпоративные системы. — Техническое взаимодействие с агентствами и интеграторами: требования, проверка архитектуры, приёмка работ. — Проверка безопасности и соответствия требованиям закона о персональных данных (152-ФЗ). — Отчётность и обмен успешными решениями с головным офисом и другими странами. Требования: — Опыт коммерческой разработки не менее 5 лет, знание Python. — Опыт разработки backend-сервисов, API и интеграций в продакшене с использованием REST, SQL, Git, Linux. — Минимум 2 года разработки бизнес-инструментов на LLM, включая промпт-инжиниринг, tool calling, агентов, RAG, эмбеддинги и векторные базы данных. — Опыт развёртывания и эксплуатации open-source LLM на собственных серверах с использованием vLLM, Ollama или llama.cpp, включая расчёт оборудования и квантизацию. — Практический опыт работы с Yandex Cloud и Yandex AI Studio: API, SDK, Model Gallery, эмбеддинги, сервисные аккаунты, API-ключи, логирование данных, Compute Cloud, Serverless Containers, Object Storage. — Опыт переноса LLM-решений между провайдерами (OpenAI, Anthropic Claude, Google Gemini) и собственными моделями с оценкой качества. — Интеграция и автоматизация с использованием MCP-серверов и командной строки на Python, Bash или PowerShell. — Развёртывание и эксплуатация внутренних веб-сервисов на собственных серверах и в Yandex Cloud с Docker, Docker Compose, SSO, логированием, мониторингом и резервным копированием. — Ежедневная работа с AI-ассистентами (Cline, Claude Code, Codex, Cursor), включая агентов в командной строке и ревью кода. — Управление безопасностью: доступ, секреты, защита от prompt injection и утечек данных. — Знание закона о персональных данных (152-ФЗ). — Достижение бизнес-решений с измеримым эффектом и понятной стоимостью эксплуатации. Условия: — Оклад и бонусы. — Сим-карта, ДМС со стоматологией с первого дня, питание (завтрак, обед, ужин). — Скидка на корпоративную продукцию после испытательного срока. — Гибкое начало и окончание рабочего дня. — График работы full-time в офисе. — 5 дополнительных дней отпуска в год. — Оформление в штат аутсорсинговой компании.