Вакансии

Location: Austin; Yerevan Workplace: OnSite About the role Teza's Data Platform team owns the data the firm trades on: every backtest, every live strategy, every portfolio decision starts with data we ingested, cleaned, stored, and served. The scale, in plain numbers: - 1 PB of raw historical vendor data, growing by ~150 GB every day - 120 TB of processed, query-ready data in historical storage - Thousands of scheduled jobs: run by cron today, actively migrating to Apache Airflow - Alternative data delivered directly into the real-time feeds of live trading strategies This is a hands-on position on a small team of data engineers with growth potential. The firm is looking for outstanding technical skills, strong attention to detail, and a desire to architect and build data platforms. Location Austin, TX / Yerevan, Armenia (in-office requirement) Key Responsibilities - Work directly with Portfolio Managers and Quantitative Developers: turn their requirements into datasets and pipelines, and be the person who knows every nuance of the data they trade on. - Design and onboard new data sources into our warehouse; improve the robustness, speed, and scalability of our systems; manage data entitlements. - Build automated systems for data cleansing, anomaly detection, monitoring, and alerting, bad data must never reach a strategy. - Evaluate new tools and technologies for organizing, querying, and streaming large datasets, and when nothing on the market fits, build it. That's how the bitemporal store happened. - Support the production data warehouse the firm depends on. - Develop and maintain vendor relationships aligned with our business objectives. What we're building right now - A bitemporal data store, designed and written in-house from scratch. Every dataset answers both "what did we know then?" and "what do we know now?", which is what lets researchers trust a backtest. - A Python 3.14 migration of a large, long-lived codebase. - Adoption of the latest Apache Airflow: writing DAGs for the thousands of jobs moving off cron. - Pipelines for market data and alternative data: everything from exchange feeds to weather. - Real-time delivery: alternative data flows straight into strategies' live feeds. Pipelines you build sit in the trading path. - CI/CD for all of it, in GitHub Actions. Our Stack Python and Java · Apache Airflow · Slurm · NATS · PostgreSQL · MongoDB · S3 · NFS · GitHub Actions   Basic Requirements - Proficiency in Python and Unix/Linux for data manipulation, scripting, and automation. - Strong SQL, including query optimization and performance tuning, and familiarity with NoSQL. - A solid grasp of data modeling: normalization and denormalization, and the judgment to know when each applies. Nice to have - Financial industry experience or internships. - Java (part of our platform is written in it). - Experience with on-premises data infrastructure. - Familiarity with a cloud platform (AWS or GCP). - Apache Airflow or similar workflow orchestration tools. Benefits - Health, visual and dental insurance - Flexible sick time policy

Meet Arago and the Aragonians Arago is an AI and computer hardware company whose mission is to drive the course of history forward. We do so by accelerating breakthroughs at the intersection of AI and semiconductors. Founded in 2024 by AI researchers and physicists with deep expertise in photonics, electronics, software, mathematics, and machine learning, Arago brings together a lean team of engineers and scientists from the world’s top companies and research labs. Composed of nine nationalities and operating from hubs in France, North America, and Israel, we believe in great science and fast achievements. Our work is guided by these core principles: Do great things: we deliver work we’re proud to sign our name to. High velocity: speed matters. We move quickly, one step at a time. One unit: we’re all in this together, with relationships grounded in trust, respect, and camaraderie. Arago is backed by executives from Apple, Arm, Nvidia, Microsoft, and Hugging Face, as well as prominent US and European deeptech venture firms and exited founders. What you’ll do As a Senior AI/ML Scientist, you will work at the intersection of modern AI models, numerical precision, and novel computing architectures. Your mission will be to develop the methods that allow AI models to run accurately, efficiently, and reliably on Arago’s computing system. This position combines strong quantization and “digital twin” aspects: understanding how frontier models tolerate reduced precision, defining the right numerical formats and quantization strategies, and building software representations of the processor to model the physical effects that impact AI model accuracy. This role is both scientific and practical. You will help shape the bridge between AI models and Arago’s hardware. Required Skills and Experience Background in mathematics, physics, computer science, or a related quantitative field. Strong interest and skills in applied mathematics and statistics. Strong experience with quantization of machine learning and AI models. Strong understanding of modern model architectures, including language models, diffusion models, video generation models, and/or world models. Experience studying the impact of numerical precision, noise, or approximation on model accuracy. Experience with inference performance optimization. Good knowledge of computer architecture, GPU architecture, or parallel computing. Ability to build rigorous experimentation pipelines and translate research insights into practical engineering decisions. GitHub profile with recent and relevant projects. Language: English at a proficient level. French is a plus. Responsibilities Develop Arago’s quantization strategy for modern AI models, including precision studies, numerical format exploration, and model-level techniques to preserve accuracy under constrained precision. Study the impact of analog noise on the performance and inference accuracy of machine learning models, including language models, diffusion, video generation, and world models. Develop simulation tools to model analog behavior with minimal computational overhead. Build and maintain Arago's internal experimentation pipelines for precision and performance studies on both physical and emulated prototypes. Act as a technical point of contact between clients and Arago: analyze, port, and optimize client models onto Arago hardware, balancing throughput and accuracy. Collaborate with the software and digital architecture teams to support architectural enhancements based on the operator content of frontier model architectures. Pay and benefits Competitive cash compensation, with final package based on location, experience, and the pay of team members in similar positions. Meaningful stock option plan offered at the earliest stage of the company (included in the majority of full time offers). Relocation bonus and coverage of moving expenses for relocation within 20 minutes of the company’s location. Healthcare coverage (including family-friendly options), pension contributions, professional development support, and 25 days of PTO, in addition to public holidays. Ownership of a key technical domain, with significant vertical and/or horizontal growth opportunities, based on performance and individual drive. Reimbursement of 50% of the public transport subscription fee. A high-paced, multicultural (with 10 nationalities), and engineering-led environment.

Location: New York, New York About Us: EvolutionIQ’s mission is to deliver state of the art technology that helps insurance claims teams make claims handling more accurate, fair, and efficient, so that more people impacted by injury or illness can continue their lives with dignity and stability. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. Our team is our #1 priority, and we have been named one of Inc.’s Best Workplaces 3 years in a row and Built In’s Best Places to work in 2025 and 2026! As a Business Analyst on the Data Science & Insights team you will translate complex data into clear, actionable insights that drive operational change and measurable client outcomes. You will work with leaders across DS&I and Client Strategy to identify KPIs and develop robust, scalable, and trustworthy reporting to both track historical metrics and inform resulting business strategy. You will support technical development across the Data Science & Insights portfolio, from writing SQL queries to developing reusable Python tools to creating Looker dashboards. You will help drive the evolution of scalable client analytics, from automated reporting and self-service QBRs to high-impact ROI storytelling, while acting as a trusted analytical advisor across Product, Client Services, Sales, and Data Science. The quality of your insights will directly influence product direction, client retention, and how the business evaluates and prioritizes opportunities. Key Responsibilities: Report Quality: Review data artifacts to ensure that data transformations are accurate and reporting correctly communicates the metrics in question. Scale Reporting Infrastructure: Build out tooling to scale and automate client reporting, while ensuring data is trustworthy. Support contribution to team's github code repositories with strong Python and SQL skills, with a willingness to learn additional tools like dbt Data Storytelling: Create high-impact visualizations and business cases that demonstrate the ROI of AI integration to our B2B clients. Stakeholder Synthesis: Translate complex model behaviors (e.g., propensity to close, intervention scoring) into actionable insights for claims adjusters and executive leadership through in depth analytics. Requirement Architecture: Collaborate with senior DS&I team members to define "Success Events" for new AI features, ensuring that technical builds align with the Behavioral North Star of the product. Required Qualifications: 5+ years as a Business Analyst or similar role, preferably within Disability Insurance, FinTech, or a SaaS company leveraging Machine Learning. Analytical Rigor: Proficiency in Python (Pandas, script development), SQL, and data visualization tools (Tableau, PowerBI, Looker) to perform independent "deep dives" into claim performance data. Strategic Communication: Proven ability to explain the "Why" behind an AI recommendation to non-technical users. Domain Expertise: Familiarity with claims management workflows, "duration compression" concepts, and the regulatory landscape of disability insurance is preferred Work-life, Culture & Perks: Compensation: The base salary range is $165-180K, with flexibility depending on a candidate’s background and experience. An annual bonus plan and company equity plan (RSUs) are also included in our compensation package. Well-Being: Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching. Additional family, wellness, and pet benefits. Home & Family: Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). We offer a flexible schedule for new parents returning to work. Office Life: Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend. Growth & Training: $1,000/year for each employee for professional development, as well opportunities for tuition reimbursement. Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa. Please check with our Recruiting team if your visa is applicable for transfer. EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Задачи: — Разработка и поддержка backend на Python с использованием Django и Django Rest Framework. — Создание REST API, работа с Django ORM, миграциями и админ интерфейсом. — Настройка и поддержка AWS сервисов: S3, RDS, SNS, SQS, CloudFront, CloudFormation. — Реализация OAuth потоков аутентификации. — Использование AI инструментов и LLM. — Работа с Celery (версии 4.x/5.x) и брокерами сообщений Redis или RabbitMQ. — Использование Docker (Dockerfile, docker-compose) и базовые знания CI/CD (GitHub Actions или аналогичные). — Работа с SQL и реляционными базами данных, предпочтительно PostgreSQL. — Использование Git, проведение Pull/Merge Requests, Code Reviews, Git Flow. Требования: — Опыт работы с Python не менее 5 лет. — Опыт работы с Django, Django REST Framework. — Знание PostgreSQL. — Опыт работы с Django ORM моделями. — Знание архитектурных паттернов RESTful API. — Опыт работы с брокерами сообщений Redis или RabbitMQ. — Опыт работы с кэшированием Redis. — Опыт работы с инструментами мониторинга Sentry (желательно Pytest, Flake8, Bandit, wemake-python-styleguide). — Опыт работы с AI инструментами (OpenAI, Claude, RAG / Knowledge Base Tools, Zapier, Make.com). — Профессиональное владение английским языком. Желательно: — Опыт DevOps: настройка и поддержка AWS сервисов. — Опыт настройки и поддержки CI/CD пайплайнов (GitHub Actions или аналогичные). — Знание платежных шлюзов Mollie, Stripe, PayPal и подобных. — Опыт настройки и оптимизации Sentry, логирования и мониторинга. — Опыт тестирования и работы с инструментами качества кода: Pytest, Flake8, Bandit, wemake-python-styleguide. — Опыт работы с интернационализацией и внешними интеграциями (CRM, API). — Базовые знания Vue.js или опыт взаимодействия с фронтендом на Vue. — Использование feature flags с django-waffle и продвинутых админ плагинов (CKEditor, image-cropping, sortable2). — Знание Poetry, Fabric, Django Channels. — Опыт обработки PDF и изображений (PyMuPDF, Pillow, heif-image-plugin). Условия: — Полностью удалённая работа с гибким графиком. — Конкурентная оплата, полная занятость или фриланс, в зависимости от опыта. — Возможности профессионального роста и долгосрочного сотрудничества.

Location: Limassol; Nicosia; Athens; Thessaloniki Workplace: hybrid The Role:  Our team is expanding, and we are hiring an AI Systems Engineer to help drive the adoption, integration, and governance of enterprise AI technologies across the Group Company . You will join a collaborative and forward-thinking team responsible for delivering secure, scalable, and compliant AI platforms that empower employees and enhance business operations.   As an AI Systems Engineer, you will be responsible for the administration and integration of enterprise AI platforms, the development of AI-powered agents and automations, and ensuring that AI services are secure, reliable, and aligned with the Group's technology strategy. Working closely with IT, Information Security, Product Management, and other business stakeholders, you will play a key role in delivering innovative AI solutions that support the organisation's long-term digital transformation. The main responsibilities of the position include: Administer, maintain, and support enterprise AI platforms, including ChatGpt Enterprise, OpenAI Platform, Anthropic Claude ,Microsoft 365 Copilot, Copilot Studio, and third-party AI services Design, develop, and manage AI-powered agents and business automations Using OpenAI, Copilot Studio, AWS Agent Core Collaborate with Product Management and business stakeholders to identify AI use cases, gather requirements, and deliver AI solutions that improve business processes Manage the full lifecycle of AI agents, from design and deployment to monitoring, optimisation, and retirement Develop and maintain enterprise AI connectors, including Connection to Microsoft Graph, Power Platform connectors, Google Workspace API, Chatgpt Custom Apps, and similar connectors Deploy, configure, and support Model Context Protocol (MCP) servers to enable secure integration between AI platforms and enterprise systems Manage API integrations, authentication mechanisms, and secure access using OAuth, Single Sign-On (SSO), service accounts, and related technologies Monitor, troubleshoot, and optimise AI platforms, integrations, and automation solutions to ensure performance, reliability, and security Collaborate with Information Security teams to implement AI governance, security controls, compliance requirements, and data protection measures Support the development and maintenance of AI governance frameworks, approval processes, and enterprise AI standards Manage AI platform licensing, capacity planning, usage analytics, and adoption metrics Promote AI adoption across the Group by delivering documentation, workshops, user support, and training initiatives Participate in AI strategy discussions, platform evaluations, and technology roadmap planning Research and evaluate emerging AI technologies and recommend improvements that enhance business efficiency Maintain accurate technical documentation for AI platforms, integrations, automations, and related configurations Main requirements: BSc/MSc in Information Technology, Computer Science, or a related field 3+ years of professional experience in Systems Engineering, Platform Engineering, Enterprise Applications, IT Integration, or a similar role Hands-on experience administering Microsoft 365 technologies, including Entra ID, Intune, Conditional Access, and SharePoint Practical experience working with enterprise AI platforms, including Microsoft Copilot, Copilot Studio, Agent Builder, Azure OpenAI, OpenAI, Claude, or Gemini Strong understanding of enterprise integrations, REST APIs, Microsoft Graph, Power Platform connectors, OAuth, and Single Sign-On (SSO) Experience developing AI agents and automations using Copilot Studio, including knowledge grounding and Power Automate Hands-on experience with Model Context Protocol (MCP), including building or consuming standard and custom MCP servers Experience with Azure AI Foundary, OpenAI Codex, Github Copilot, AWS Bedrock Understanding of AI governance, responsible AI principles, and enterprise security controls such as Data Loss Prevention (DLP), sensitivity labels, and compliance frameworks Experience integrating enterprise platforms with tools such as Jira, ServiceNow, or similar systems Scripting experience using PowerShell, Python, or similar languages for automation and administration Strong analytical, troubleshooting, and problem-solving skills Excellent communication, collaboration, and documentation skills A proactive mindset, strong attention to detail, and commitment to continuous learning The following will be considered an advantage: Experience working within multi-model enterprise AI environments Knowledge of enterprise AI governance, compliance, and security best practices Experience supporting AI adoption initiatives through user training and enablement Exposure to enterprise-scale AI platform administration and operations Benefit from: Attractive remuneration package Private health insurance Corporate pension fund Intellectually stimulating work environment Continuous personal development and international training opportunities The Hiring Experience: What Awaits You Let’s Connect – Intro Chat with Talent Acquisition Deep Dive – First Interview with Your Future Team Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.

Задачи: — Развертывание и поддержка облачной инфраструктуры в AWS (IaC через Terraform) — Администрирование кластеров Kubernetes (EKS) и управление деплоем через Helm — Настройка, оптимизация и защита пайплайнов в GitLab CI и GitHub Actions — Внедрение инструментов сканирования уязвимостей (SAST/DAST) и управление секретами в HashiCorp Vault — Настройка сквозного мониторинга и логирования (Prometheus, Grafana, ELK/Loki, Sentry), оперативное реагирование на инциденты — Участие во внедрении и поддержании практик информационной безопасности по стандарту ISO 27001 — Настройка и поддержка веб-серверов (Nginx), управление VPN, SSL/TLS сертификатами и DNS Требования: — Уверенное знание Linux (Ubuntu/RHEL) и владение Bash для автоматизации — Практический опыт работы с AWS (EKS, IAM, S3, RDS) и Ansible — Глубокое понимание процессов контейнеризации (Docker, Kubernetes) и автоматизации CI/CD — Понимание принципов сетевой безопасности, опыт работы с криптографическими протоколами и системами управления секретами — Знание принципов и практический интерес к внедрению стандартов безопасности ISO 27001 Условия: — Официальное оформление в соответствии с регламентом МФЦА (AIFC) — График работы 5/2, гибкий гибридный формат (сочетание офиса в Алматы и удаленки) с гибким началом дня — Стабильная заработная плата — Интересные и динамичные digital-проекты (включая AI-интеграции и масштабные веб-платформы) — Сильная техническая команда, минимум бюрократии и открытость к вашим технологическим инициативам

Location: Remote - Argentina; Remote - Colombia ; Remote - Costa Rica ; Remote - Mexico Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands. Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $100m in revenue and is the leading specialized storage cloud - managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals. But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. We are seeking an AI Workflow Engineer ! About the Role: Backblaze is running a company-wide AI transformation program, and this role is where strategy becomes something you can actually use. As AI Workflow Engineer, you will be the hands-on builder inside the AI Program Office - embedded alongside the Director, AI Enablement, and deployed into non-GTM, non-Engineering business teams to prototype, build, and ship AI-powered workflow solutions that make a measurable difference in how work gets done. This is not a research role or a strategy role. You will spend your time building: prompt architectures, automation flows, lightweight agents, API integrations, and demos that help a business team see - concretely - what AI can do for them. You will move across functions, which means you need to understand how businesses actually operate. The ideal background is someone who started in a business-facing role - finance, operations, marketing, customer success, HR - and developed serious hands-on AI and automation skills on top of that foundation. You will work closely with the Director, AI Enablement, who owns the program management and delivery layer. Your job is to make their scoped solutions real - fast, iteratively, and with enough rigor that what you build can go to production. What You Will Do: Build and Ship AI Workflow Solutions Take scoped use cases from the Director, AI Enablement and build working solutions: prompt layers, automation flows, lightweight agents, RAG implementations, and API integrations that connect AI tools to the systems business teams already use Build working prototypes quickly - the goal is to show a team what is possible in days, not weeks, then refine based on what actually lands Translate a documented workflow assessment into a technical design, select the right tools for the job, and own the build through to a deployable solution Maintain solution documentation that is clear enough for handoff, iteration, and audit - not just for engineers, but for the business owner who will live with it Embed in Business Teams Spend time inside the functions you are building for - Finance, HR, Legal, Marketing Ops, Customer Success, and others - understanding how the work actually flows before you redesign it Run working sessions with team members to map current-state workflows, surface friction points, and identify where AI creates real leverage versus where it creates noise Build credibility with non-technical stakeholders by showing them working solutions, not decks - and by being honest about what will and will not work Support user acceptance testing and early adoption, troubleshooting issues close to launch and iterating based on real usage Support the AI Program Office Build demos and proof-of-concepts that help the Director, AI Enablement make the case for a use case - or disqualify it early before resources are committed Contribute to vendor and tool evaluations with a builder's perspective: not just whether a tool claims to do something, but whether it actually works in the context of a specific workflow Feed learnings from the build process back into the program - what worked, what did not, what should be standardized across functions Work on tactical quick wins and longer-horizon strategic builds at the same time, switching contexts across active use cases as priorities shift What Success Looks Like (First 90 Days) You have completed at least one workflow assessment alongside the Director and produced a working prototype from it At least one solution you built is in active use by a business team, with a named owner and feedback loop in place You have worked inside at least two different business functions and understand their core workflows well enough to identify the next use case without being told The Director, AI Enablement trusts you to own the build layer independently - scoping conversations happen together, execution happens with you driving The Right Fit: 2-4 years of experience that includes meaningful time working inside a business-facing function - operations, finance, marketing, customer success, HR, or similar - not just in Engineering or IT Hands-on experience building with AI tools: prompt engineering, automation platforms (Make, Zapier, n8n, or equivalent), API integrations, and at least working familiarity with RAG architectures and agent frameworks Proven ability to take a messy real-world process, understand it from the inside, and build something that makes it faster or better - not just technically cleaner Comfortable working with non-technical stakeholders: you can explain what you are building without jargon, gather requirements without a formal spec, and manage expectations when a prototype needs three more iterations Strong enough with code or no-code tools to get solutions to a deployable state independently - you do not need an engineer to ship your work Able to manage multiple active projects at different stages without dropping anything - a quick win in HR this week does not mean the Finance automation waits Genuinely curious about how companies work: the org chart, the incentives, the handoffs, the bottlenecks. This is what separates a good AI builder from a great one in a business context Bonus Points For: Direct experience working in or closely with G&A, Finance, Legal, Marketing Ops, or Customer Success teams - you have lived in the workflows you will be redesigning Familiarity with AI governance basics: data handling, PII awareness, and when a use case needs a security or privacy review before it ships Experience working in a small program or startup environment where you wore multiple hats and shipped without a lot of process overhead Experience in cloud infrastructure, SaaS, or storage companies - comfort with technical products and the teams that build them A portfolio, GitHub, or examples of AI workflows or automations you have built - something you can show, not just describe At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries, but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer. To understand more about the data we collect and process as part of your application, please view our Backblaze Employee Privacy Notice. #LATAM

Appbooster — одна из ведущих AdTech-компаний в сфере мобильного маркетинга и эксперты продвижения в AppStore и Google Play. На рынке с 2013 года, являемся одними из лидеров индустрии и постоянно движемся вперед. За 10 лет работы мы привлекли пользователей в 8 700+ приложений. В твоем смартфоне наверняка найдутся приложения наших клиентов: Skyeng, Купибилет, Додо Пицца, Lamoda и многих других. Сейчас мы расширяем команду и находимся в поиске Ruby on Rails разработчика на один из ключевых продуктов компании. Ты станешь частью команды adtech-платформы для продвижения мобильных приложений и сбора аналитики. У нас небольшая, но опытная распределенная команда - разработчики (2 на бэке, 3 на фронте), PM, тестировщики, дизайнер и продуктовый маркетолог. Ценим комфортные и прозрачные процессы без микроменеджмента и бюрократии, а также заряжены на результат и любим A/B-тесты и эксперименты. Наш стек: Ruby on Rails • Sidekiq • RSpec • dry-rb • PostgreSQL • k8s • REST • Redis • Github Actions Задачи: — разработка бэкенд-части SaaS-платформы - новые фичи, рефакторинг, оптимизация; — написание чистого, поддерживаемого кода и его оптимизация под высокую нагрузку; — написание unit- и интеграционных тестов; — участие в обсуждении планирования и оценки задач, делиться своей экспертизой и участвовать в принятии решений. Требования: — опыт коммерческой разработки на Ruby On Rails от 5 лет; — опыт работы с PostgreSQL, Redis, k8s; — опыт использования AI-инструментов в разработке (ChatGPT/Codex, Claude и тд); — умение работать в команде; — умение работать в рамках Agile-процессов. Будет плюсом: — опыт работы с магазинами приложений (AppStore, GooglePlay, etc.). Условия: — интересный нестандартный проект с современным стеком технологий и продуктовую разработку, независящую от внешних заказчиков; — возможность работать в удобном формате: полностью удаленно, гибридно или в офисе (г. Самара); — достойную заработную плату + регулярный ее пересмотр; — ДМС после 3-х месяцев работы; — всю необходимую корпоративную технику и инструменты; — гибкий график работы; — системный процесс performance review и быстрый обмен открытым фидбеком; — условия для прокачки английского: 30% компенсация языковых занятий в школах-партнерах (SkyEng или Skillbox), English speaking club под руководством опытной преподавательницы; — здоровую и комфортную корпоративную культуру: открытое и нетоксичное взаимодействие без вертикалей, прозрачные процессы планирования и принятия решений, обмен знаниями через мероприятия и обучения, оффлайн/онлайн активности и пассивности, турниры и квизы, корпоративы и многое другое; — компенсацию внешних курсов и программ обучения/повышения квалификации с индивидуальными условиями от 70%; — полноценный онбординг для каждого новичка, максимально комфортную команду, где есть возможность проявлять себя, предлагать идеи и реализовывать их; — сокращенный рабочий день и корпоративные подарки на день рождения.

Location: Tbilisi; Yerevan; Belgrade; Novi Sad, Vojvodina; Poland; Portugal Workplace: remote About Provectus Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits: You will work in a small, senior pod alongside an FDX; our delivery arc is Sprint → Enable → Realize: Forward Deployed Executive (FDX) owns the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs — revenue growth, cost reduction, risk reduction. Forward Deployed Engineer (FDE) embeds with a client to change how that client operates. You own the method; nobody hands you a ticket. You map the client workflow as it actually happens, identify the business problem underneath it, build a working AI solution, present to the client in the language of outcomes, and transfer it. Provectus maintains industry Blueprints — working systems that have already shipped for a client in the same industry — so you begin from running code and tuning it to this client's specific book, regulators, and operating posture. You will be measured on whether the Business Unit's number moved, not on hours or scope delivered. Requirements: Mindset Proactive and self-directed; identify problems before they're handed to you Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job B2+ English, comfortable collaborating across distributed, multicultural teams Client Engagement You are willing to spend time understanding and doing someone else’s job on the client's side before you write a line of code Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO, presenting outcomes to them You can produce a scoped, phased delivery plan with clear deliverables, dependencies, and risks — and estimate what it will cost to build and to run Technical depth 7+ years building and running production systems. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes Designed and shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Experience in making and defending architectural trade-off decisions Hands-on AWS production depth: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release Model and agent monitoring, drift detection Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus What you’ll do: Take the seat Sit with the client and the Forward Deployed Executive at the start of an engagement. Learn the function from inside, not from a requirements doc, and redesign the function from first principles. Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow. Build Design and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Implement and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Define what working means, instrument it, and let the evals drive the design. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD, automated testing, monitoring, and maintainable after we leave. Hand the system over to the client. Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from. Lead architecture reviews, produce technical design documents, and contribute to standards. Mentor engineers and share knowledge across the team. Own the outcome. Work in a pair with a FDX who carries the Business Unit’s KPIs. Your work is measured against the same number. Own the technical direction of technical proposals and scoping. Drive adoption. Change management is part of the engineering job here. Be credible with the customer’s engineers and their executives. Shape what we commit to before we commit to it. Nice to Have: Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution Experience in one of the industries: financial services, insurance, healthcare Consulting, professional services, or other embedded customer-facing delivery A2A: you can explain agent-to-agent interoperability AWS and Claude Code Certifications CI/CD pipeline experience (GitHub Actions, GitLab CI) Experience in an additional language (Go, TypeScript, or Rust) Experience with Apache Spark, Apache Airflow, Kafkа What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire:   Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant  HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

Location: United States Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 THE MISSION The Foundry is ClickUp's internal AI innovation lab — embedded inside GTM Systems and accountable for turning AI capabilities into production-grade, internally deployed products that make every GTM function faster and smarter. We build the infrastructure that powers AI-first work across Sales, Marketing, Post-Sales, and Revenue Operations.   As the Senior Software Engineer on this team you will own the technical delivery of our MCP server platform, agent orchestration layer, and internal tooling — shipping production systems used daily by hundreds of ClickUp employees, and scaling your own throughput by treating AI tools as first-class engineering collaborators. WHAT YOU'LL OWN MCP SERVER PLATFORM   - Design, build, and operate Model Context Protocol servers that expose CRM, ticketing, analytics, and communication data to AI agents across the GTM stack - Implement Okta PKCE authentication flows and RBAC policy enforcement so agents access only the data they're authorized to touch - Maintain deployment infrastructure on AWS (Bedrock, Lambda, ECS, API Gateway) and contribute to GCP workloads where applicable - Own observability: structured logging, distributed tracing, latency SLOs, and on-call runbooks for every production server   AGENT ORCHESTRATION & AI-NATIVE PRODUCTS   - Build and maintain multi-step autonomous agents that execute end-to-end GTM workflows — lead qualification, deal room assembly, onboarding automation, support triage, and more - Architect prompt engineering frameworks, tool-call schemas, and agent evaluation harnesses that make AI behavior predictable and auditable - Integrate with LLM providers (Anthropic, OpenAI, AWS Bedrock AgentCore) and maintain version-pinned, cost-tracked model configurations - Deliver AI-powered internal applications (web apps, CLI tools, Slack integrations) that non-technical GTM stakeholders use without friction   GTM PLATFORM ENGINEERING   - Own full-stack feature delivery across TypeScript/Node.js backends and React/TypeScript frontends for internal tooling - Write Python automation scripts, ETL pipelines, and data transformation layers that feed GTM analytics and AI context - Collaborate with Systems Engineering and GTM Engineering teams on cross-cutting API standards, data contracts, and integration patterns - Conduct code reviews, establish engineering standards, and actively mentor junior engineers toward higher leverage   AI-NATIVE DEVELOPMENT PRACTICE   - Use AI coding assistants (Claude, Cursor, GitHub Copilot) as primary engineering accelerators — not supplements — to ship at a pace that punches above a single engineer's weight - Document AI usage patterns, prompt templates, and agentic workflows so the team's collective throughput compounds - Stay current on MCP protocol evolution, agent frameworks (LangGraph, CrewAI, custom), and emerging LLM capabilities; bring back what matters REQUIRED QUALIFICATIONS - 5+ years of professional software engineering experience with production systems - Expert-level TypeScript and Node.js — idiomatic, typed, testable server-side code - Strong Python — automation scripts, data pipelines, and scripting for AI/ML tooling - Meaningful AWS deployment experience: Lambda, Bedrock, ECS/Fargate, API Gateway, IAM, Secrets Manager, CloudWatch - Demonstrated experience integrating with LLM APIs (OpenAI, Anthropic, AWS Bedrock, or equivalent) and shipping AI-powered features to real users - Solid foundation in REST API design, OAuth 2.0 / OIDC authentication, and secure credential management - Experience with CI/CD pipelines, infrastructure-as-code (Terraform, CDK, or SAM), and cloud cost awareness - Clear written communication: design docs, ADRs, and runbooks that others actually read - Track record of using AI tools (LLM assistants, copilots, agentic workflows) as a genuine productivity multiplier — not a gimmick STRONGLY PREFERRED - Hands-on experience with MCP (Model Context Protocol) — building servers, defining tool schemas, or operating multi-server agent environments - GCP experience (Cloud Run, BigQuery, Cloud Functions) to complement AWS work - Salesforce, HubSpot, or other CRM API integration work — understanding GTM data models is a significant advantage - React or Next.js front-end capability to ship internal dashboards and tooling without hand-offs - Familiarity with agent orchestration frameworks: LangGraph, AutoGen, CrewAI, or custom orchestration patterns - Experience in a GTM Systems, RevOps, or Sales Engineering context - Okta / identity provider integration work (PKCE flows, SCIM, token management) HOW WE OPERATE The Foundry runs on three principles that every team member is expected to embody:   - Ownership — You own the full lifecycle of what you build: design, delivery, observability, and iteration. We don't have a separate ops hand-off. - Velocity — We ship to production in days, not quarters. AI tools are how we maintain that pace without sacrificing quality. - Atomicity — Every deliverable is a discrete, composable unit — an MCP server, an agent, an API. Nothing we build requires everything else to work. WHO THRIVES HERE This role is a strong fit if you are genuinely excited to work at the intersection of AI infrastructure and internal product — not just as a user of AI, but as someone building the layer that makes AI useful for an entire go-to-market organization. You are comfortable with ambiguity, you default to shipping, and you see every piece of internal tooling as a product that deserves operational discipline.   This role is not a fit if you need heavily defined requirements before starting work, prefer long planning cycles to iterative delivery, or view AI tools as optional extras rather than core to how you operate. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: San Jose, California, United States Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity Our engineering team is comprised of creative problem solvers and strategic software engineers who collaborate closely with product, design, and business teams. We sit at the intersection of finance and technology, building mobile experiences that help millions of users worldwide trade, invest, and explore Web3. As a Mobile Engineer on our Trading team, you will help grow the crypto ecosystem by identifying new features, product opportunities, and scalable solutions — enabling users and partner businesses to unlock the full potential of OKX's platform. What You’ll Be Doing Design and build end-to-end mobile systems across iOS and Android, from architecture to launch strategy. Understand and apply knowledge of crypto products, blockchain technologies, and market dynamics to deliver solutions at scale. Ship production-quality code with an emphasis on long-term maintainability, with relevant documentation and test coverage. Break down complex engineering projects into executable tasks and partner with applicable cross-functional teams. Independently identify stakeholders and align cross-functional partners toward project completion. Conduct code reviews and provide constructive feedback; action feedback from reviews of your own code promptly. Apply AI coding tools to accelerate development, improve code quality, and optimise engineering workflows. Serve as a subject matter expert within the mobile engineering team and provide consultation on domain-level projects. Build relationships with internal stakeholders; share project updates and influence decision-making through data-driven insights. Participate in interviewing and onboarding of new team members. What We Look For In You B.S. or M.S. in Computer Science or equivalent degree/experience. Proven experience shipping production-quality mobile code on iOS and/or Android. Strong proficiency in Swift, Kotlin, or React Native. Experience working in fintech, crypto, or Web3 environments. Demonstrated ability to integrate AI tools to optimise workflows and drive measurable impact — e.g. efficiency gains, quality improvements. Ongoing AI skill development — prompt engineering, agent orchestration, staying current with emerging AI technologies. Experience communicating technical concepts to non-technical audiences. Nice to Haves Familiarity with DeFi protocols, wallet integrations, or on-chain data. Experience contributing to open source projects or shared code repositories. Active participation in the developer community (blogs, GitHub, Stack Overflow, etc.). Experience in highly collaborative, fast-paced environments. Experience adhering to responsible, ethical AI practices (e.g. risk assessment, bias mitigation). Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $223,611.00 to $321,999.0 0. The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. #LI-HYBRID#LI-HYBRID #LI- Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: United States What The Role Is As a Staff Engineer at Babylist, you own some of our hardest domains and decide where they go. Millions of families depend on what we build. Agents write most of the code now. So the hard part is yours: what to build, how it should work and whether what shipped was right. You're still in the code for the genuinely hard problems. Agents handle the volume. You spend your time on the parts that need a person. We're building well beyond the registry now: the financial side of raising a kid, maternal health made simpler and more human, the education new parents are looking for and the community around them. The hard problems run across all of it, plus the platform underneath and the AI we already ship to families. You'll own a big piece of the product, but you won't be boxed into it. The roadmap is open. You have a say in which bets we make, and you pick what you take on next. What You'll Own A Staff Engineer here sets direction. You own a domain: a product surface, a platform area or a capability that cuts across several teams. You set where it's going over the next year or two, sequence the bets that get there and make the technical and product calls along the way. You're still in the code. We don't have architects who've stopped building. If you stepped away, multiple teams would feel it. Your influence shows up in the systems and the work other teams choose to build on. You don't need direct reports to have that reach. It comes from what you build. In practice, you: Take a fuzzy business problem from the first sketch through to production, and stay on the hook for whether it actually helped customers. Build the platform or tooling other teams adopt by choice, and own it as it scales. Make the architecture calls that span teams and the ones that are expensive to reverse. Set the standard for how your domain builds with AI. Decide what good looks like, build the patterns and evals that get agents there and catch the output that's confidently wrong before it ships. Partner with product, design and data as a peer, shaping what's worth building from the start. Coach Senior engineers through the hard calls, the ambiguous ones as much as the technical ones. A few problems people at this level are working on right now: Resolving one customer across registry, shop and health, plus the friends and family buying for them, so personalization works everywhere without each team rebuilding it. Designing the knowledge system our coding agents reliably load, and working out how much context actually helps before it starts to hurt. Building Early Investor, our new family finance product, from scratch, on a deadline that can't move. Who You Are You've shipped production systems for enough years to have earned strong opinions, and you hold them loosely. You can pick up an ambiguous problem and start moving before anyone hands you the full picture. You've already changed how a team builds with AI, and the new way stuck. Most Staff engineers lean one of two ways, and both do well here. Some point their depth at the systems everyone runs on: the platforms, the reliability and security bar, the harnesses that make AI produce good code. Others point it at the customer: framing the problem with PMs as peers, owning a journey end to end, deciding what to build and learning whether it worked. You don't have to be both. You do have to be excellent at one and fluent in the other. A few things that tend to be true of people who thrive here: You measure yourself by impact: a customer outcome, or a system a dozen teams come to depend on. You're curious: you spot problems before they're filed and push your own ideas until they ship. Compensation We post real numbers. For a US-based Staff Engineer, the starting base salary range is $233,500 to $290,700, plus a target annual bonus of 20 percent of base. That's total target cash of roughly $280,200 to $348,840. On top of that you get meaningful equity and a 401(k) match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope. How We Build AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. Agents also triage incidents and handle a big share of support. A human always owns the outcome. The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers. The Stack Core app: Rails, Packwerk, React, TypeScript, Sidekiq Mobile: iOS (Swift), Android (Kotlin) Data, search & events: MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma Machine learning: deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow AI & dev tooling: Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim Infra & ops: AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly Key integrations: Shopify (payments), Iterable (CRM) Why Babylist An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done. Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide. How We Work Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis. How We Hire Three rounds, usually two to three weeks start to finish. Recruiter conversation (30 minutes). Trade context: what you want next, what we're building and straight answers on comp, team and remote. Technical screen (1 hour). One round, no AI, language-agnostic. Reach for Google when you normally would. We just want to see how you reason from first principles. Final round (4 hours). Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours. If your timeline is tight, tell us and we'll move faster. Benefits Company-paid medical and fully covered dental and vision A 401(k) match Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program Winter Wonder Week, a paid company-wide week off at the end of the year A remote-work stipend Mental-health and wellness support A Few Things To Know We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws. We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking. If you have a family member or close relationship with a Babylist employee, let your recruiter know. Official outreach only ever comes from an @babylist.com address

Задачи: — Поддержка и усиление AWS инфраструктуры (EC2, ALB/NLB, WAF, IAM, CloudWatch) — Управление и развитие EKS кластеров, обслуживающих Python AI сервисы — Миграция существующих сервисов в Kubernetes с использованием Terraform и Helm — Кодирование инфраструктуры с Terraform и автоматизация на уровне хостов с Ansible — Создание и улучшение CI/CD пайплайнов с GitHub Actions — Ответственность за наблюдаемость: Prometheus, Grafana, алертинг и готовность к дежурствам — Поддержка патчей ОС, сертификатов, правил WAF и общей гигиены инфраструктуры — Взаимодействие с инженерами для внедрения лучших практик и повышения надежности платформы — Создание чистой и поддерживаемой документации и плейбуков по инфраструктуре — Редкая поддержка внерабочих инцидентов Требования: — Опыт управления Linux в продакшене (Ubuntu, Amazon Linux) от 5 лет — Глубокие знания Kubernetes (желательно EKS), Helm и Terraform — Уверенность в запуске и отладке Python приложений в контейнерах — Понимание сетевых технологий, IAM и лучших практик облачной безопасности — Практический опыт работы с Nginx (Ingress и обратный прокси) — Отличные коммуникативные навыки для объяснения сложной инфраструктуры разработчикам Плюсы: — Продвинутые навыки Ansible — Опыт настройки и эксплуатации PostgreSQL или Amazon RDS — Глубокое понимание инструментов наблюдаемости (Prometheus, Grafana, Loki и др.) — Знакомство с PHP в продакшене — Опыт TDD, CI/CD и agile разработки — Опыт SRE-подобной деятельности: построение устойчивости, автоматизация, инструменты инцидентов Условия: — Гибридный онбординг с возможностью удаленной работы и поддержка релокации для кандидата и семьи — Медицинская страховка для кандидата и семьи — Бюджет на профессиональное развитие: конференции, онлайн-курсы и др. — Гибкий пакет льгот — Гибридный формат работы и щедрые отпуска — Привилегии в офисе: бесплатные обеды и перекусы — Спортивные активности, ежегодные выездные мероприятия и тимбилдинги, финансируемые компанией

Location: London, United Kingdom Workplace: hybrid TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization. We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact? Responsibilities As a Senior Software Architect at TeamViewer, you will shape the architectural direction of scalable, secure, and high-performing software solutions that support our strategic goals. This is a hands-on architecture role requiring strong engineering judgement, technical credibility, and the ability to guide teams through complex design and delivery challenges. You will work closely with engineering, product, and operations teams to make pragmatic architectural decisions, improve system quality, and support long-term maintainability. You will also bring an AI-aware and forward-looking mindset, recognizing where modern AI capabilities, automation, and agentic workflows can improve product capability, developer productivity, operational efficiency, and customer value. Your primary responsibilities will include: Hands-On Architecture: Actively contribute to the design and development of enterprise-grade software solutions that are scalable, secure, cost-effective, and maintainable. Implementation Support: Work closely with development teams, offering practical, hands-on guidance throughout the full software lifecycle — from concept to deployment. Architectural Strategy: Define and evolve software architecture strategies that align with business goals, product direction, and engineering standards. Concept and Design Reviews: Conduct detailed reviews of architectural concepts, providing feedback and suggestions to enhance design quality and system performance. Technical Guidance: Lead technical discussions, mentor senior engineers and architects, and provide practical advice on complex technical challenges. AI-Aware Architecture and Engineering: Apply strong architectural judgement while recognising where AI, automation, agents, and intelligent workflows can pragmatically improve product capability, developer productivity, operational efficiency, and customer value. AI-Enabled Developer Productivity: Use and promote AI-assisted engineering tools such as GitHub Copilot, Cursor, Claude Code, or comparable tools to improve development workflows, code quality, refactoring, testing, and team effectiveness. Practical AI Engineering Awareness: Stay current with relevant AI engineering practices, including concepts such as context windows, custom instructions, agentic workflows, tool use, prompt strategies, model selection, and safe enterprise adoption. Cross-Functional Collaboration: Work closely with engineering, product, operations, and support teams to ensure architectural alignment and successful delivery across relevant product and platform areas. Documentation: Create and maintain comprehensive architectural documentation that is clear, concise, and accessible to all relevant stakeholders. Continuous Learning: Stay updated on industry trends and emerging technologies, applying this knowledge to enhance our software architecture. Risk Management: Identify and document potential risks in the architecture, providing strategies to mitigate them effectively. Requirements Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. 10+ years of software engineering experience, including significant experience designing and evolving complex software architectures across multiple domains. Proven ability to deliver hands-on, real-world solutions, actively supporting implementation, troubleshooting, and technical decision-making. Strong understanding of designing enterprise-grade systems that are scalable, secure, cost-conscious, and maintainable. Strong expertise in at least one modern back-end programming language, such as C#, Java, or C++, with the ability and willingness to learn new technologies as needed. Solid experience with data systems, including SQL and NoSQL databases, data modelling, performance considerations, and operational behaviour at scale. Practical awareness of how modern AI capabilities can be applied in software engineering and product architecture, while remaining anchored in maintainability, security, scalability, and business value. Regular hands-on use of AI-assisted engineering tools such as GitHub Copilot, Cursor, Claude Code, or comparable tools, with an understanding of how to use them effectively in real engineering workflows. Strong communication skills, with the ability to explain complex architectural concepts clearly to both technical and non-technical stakeholders. Strong understanding of distributed systems, multi-platform development, non-functional requirements, and requirements engineering. Ability to document complex technical systems and concepts in a structured, accessible, and standardized manner. A pragmatic, outcome-focused mindset that balances technical excellence with business needs and delivery timelines. What we offer Onsite Onboarding in our HQ office for an optimal start Great compensation and benefits packages including company achievement bonus and regular salary reviews Premiums for the private pension plan ( BAV ) up to the maximum amount are topped up by TeamViewer Public transport friendly offices Special terms for local gyms Access to Corporate Benefits platform with many discounts Regular Team events and company-wide celebrations Open door policy , no dress code rules, frequent all Hands and Leadership Lunches Hybrid and Flexible work time Work From Abroad Program allowing up to 40 days of work outside your contracting country We celebrate diversity as one of core values, join and drive one of the c-a-r-e initiatives together with us! TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race. If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.

Location: Remote: United States; Remote: Canada Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE As a Software Engineer on Developer Velocity, you'll design and build the internal platform, tooling, and automation that lets every Render engineer move quickly and safely. You'll drive changes in our local development environments, CI/CD pipelines, test infrastructure, and the metrics we use to understand and improve how we ship. You'll work across the entire engineering org, identify where friction lives, and remove it, measurably. WHAT YOU'LL DO - Improve speed and reliability of early change feedback - Invest in build and dependency tooling, caching, incremental builds, and monorepo ergonomics, to keep iteration tight as the codebase grows. - Accelerate our CI/CD pipelines - cutting build, test, and deploy times while keeping the path to production safe and reversible. - Make our test suites fast and trustworthy: parallelization, smart test selection, flaky-test detection, and better local/preview environments built on the same primitives our customers use. - Design and build tools to support concurrent agent execution - Make test feedback fast enough to live inside an agent's loop, where slow or flaky runs compound across every attempt. - Get agents the right context (codebase conventions, service ownership, recent changes, environment state) so their first attempt lands closer to correct. - Simplify and establish repeatable patterns - Reduce toil through automation, paving over repetitive workflows and manual steps wherever they slow people down. - Instrument the engineering org with meaningful signals (deployment frequency, lead time for changes, change failure rate, time to restore) and turn them into action. - Build and participate in an on-call rotation as the team takes ownership of critical systems. WHAT WE'RE LOOKING FOR - Experience building and operating developer-facing tooling, CI/CD systems, or internal platforms that other engineers depend on every day. - Experience driving cultural and process changes to make engineering teams more effective. - Strong software engineering fundamentals and a track record of shipping, maintaining, and debugging production systems. - Proficiency in Go (or a strong willingness to ramp quickly, it's our primary language). - Hands-on experience with Kubernetes or similar container orchestration. - Familiarity with infrastructure-as-code tools (yup, Terraform). - A bias toward measurement: you instrument what you build and let data tell you whether you actually made things faster. - You empathize deeply with engineers, fixing developer pain points in an elegant and sustainable manner is something that resonates deeply with you. NICE-TO-HAVES - Experience improving build systems, test infrastructure, or developer experience at meaningful scale - Bazel, Concourse, and GitHub workflows are old friends. - Familiarity with observability tools like Datadog, Grafana, and OpenTelemetry. - Comfort working close to the metal - Linux, containers, kubernetes - you get your hands very dirty. - Security-minded instincts, especially around supply chain and the path from commit to deploy. - Understanding that the question isn't "AI pilled vs AI skeptic", but rather where to use it as an accelerant, and where human context must come first. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: Chișinău, Chișinău Municipality, Moldova About the Role Join Alvys, an early-stage company transforming the $800B US freight industry. As a Senior Full-Stack Engineer, you’ll build and operate key parts of our cloud-native SaaS platform—spanning backend services, frontend applications, and cross-cutting system components. You will own features end-to-end, partner closely with engineering, product, and design, and help advance both the technical foundations and user experience of our products. Industry Insight Transportation logistics is massive, fragmented, and still largely underserved by modern software. You’ll be helping define the future of how freight moves by contributing to automation, operational intelligence, and workflow modernization at scale. About Alvys Alvys is building a multi-tenant SaaS platform that powers modern transportation operations. We combine deep industry knowledge with strong technical execution to bring clarity, automation, and reliability to one of the world’s most essential industries. Our Principles Engineering Principles: Build for Real-World Impact — Our users rely on Alvys to solve real problems, not abstract ones. Every feature we ship is designed to reduce friction, increase efficiency, and drive tangible results for the people moving freight every day. Extreme Ownership and Empowerment — Ownership extends beyond building—it means being accountable for quality, reliability, and customer impact. If it's in production, it's yours—bugs, uptime, and results. Technology Debt is Strategic, Not Accidental — Technical debt is a strategic choice, not an oversight. We incur it deliberately when it unlocks speed, learning, or market advantage. Our architecture remains clean, maintainable, and scalable as we grow. Simplicity Scales; Complexity Costs — Logistics is inherently complex, but our technology shouldn't be. We prioritize simplicity in our architecture, leveraging modularity and well-defined service boundaries to reduce cognitive load. Radical Transparency — We democratize data and make it accessible across all functions to drive alignment and decision-making. Transparency also means feedback—we systematize constructive feedback loops to ensure growth. Engineering Culture: Move Fast, Learn Fast — Speed is our advantage, but we move fast intentionally. We bias for action, assume positive intent, and treat every mistake as a learning opportunity. Own the Outcome — Every engineer owns outcomes, not tickets. We take responsibility end-to-end—identifying problems, delivering solutions, and ensuring they last. Engineering-Led, Customer-Driven — Engineering leads by shaping technical strategy, but never in isolation. Designers, PMs, and Engineers share context and decisions, keeping customer outcomes at the center. Pragmatism Over Purism — Elegant code matters, but business impact matters more. We choose solutions that scale, are maintainable, and solve real customer problems—not theoretical ones. People Over Heroics — We don't reward burnout or always-on behavior. Sustainability is a feature, not a luxury. If someone needs to slow down, unplug, or take care of life outside work—that's expected. Tech Stack Backend: .NET/C#, CosmosDB, Cognitive Search, Azure Services Frontend: TypeScript, Angular, React, Dart/Flutter Infrastructure & Ops: Azure, Azure Monitor, App Insights, CI/CD through DevOps / GitHub Actions pipelines Integrations: Multiple third-party APIs and workflow systems Minimum Qualifications Fluent in English —spoken and written Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field. 5+ years of professional engineering experience across both frontend and backend development. Strong proficiency in at least one modern backend language (C#, Java/Kotlin, TypeScript/Node). Proficiency in at least one modern frontend framework (React, Angular, or Vue). Experience with relational and NoSQL databases in production environments. Experience with at least one major cloud provider (Azure, AWS, or GCP). Ability to collaborate effectively with designers, product managers, and cross-functional partners. Preferred Qualifications Experience building large-scale, high-traffic systems. Experience leading or mentoring other engineers. Experience with C#/.NET or Angular is a plus. Experience developing responsive, data-rich interfaces. Experience contributing to or maintaining design systems. Familiarity with CI/CD tooling such as Azure DevOps. Background in logistics or transportation is a bonus. Responsibilities Build, own, and operate full-stack features from design through deployment. Develop robust backend services and intuitive, high-quality UIs for web and native applications. Work closely with design and product to deliver consistent, user-centric experiences. Improve engineering patterns, reliability, performance, and developer experience across the stack. Provide mentorship and guidance to peers across frontend and backend disciplines. Advocate for engineering excellence, maintainability, and scalability in all areas of the product. We offer: Official and competitive salary in USA$; Private medical insurance; Hybrid/Remote work model; Regular revisions of remuneration package; Budget for Sports and Learning and Development Work in an international environment within a professional in-house team of engineers; Chisinau city center location; Corporate and team building events for employees.

Location: Tbilisi, Georgia Workplace: Hybrid ABOUT PAVE BANK Pave Bank is the world’s first programmable business bank. Built by the founders behind Monzo and BigPay, we’re redefining global business banking by combining programmable financial infrastructure with world-class client experiences. ABOUT THE ROLE We’re looking for an experienced Software QA Automation Engineer to join our growing engineering team in Tbilisi. You’ll play a key role in ensuring the quality and reliability of our digital banking platforms through automated testing frameworks. This is an exciting opportunity to work in a fast-paced environment, contribute to a modern automation infrastructure, and collaborate closely with developers, and product teams. WHAT YOU'LL DO - Design, develop, and maintain automated test suites using Playwright and TypeScript. - Collaborate with development teams to identify, document, and resolve issues throughout the software lifecycle. - Implement and optimize test automation as part of the CI/CD pipeline for faster and more reliable releases. - Perform regression, integration, and end-to-end testing across web and API layers. - Monitor and maintain test environments and results to ensure continuous test coverage. - Contribute to improving QA standards, documentation, and best practices within the team. - Participate in sprint planning, daily standups, and retrospectives as part of an agile workflow. REQUIREMENTS - Proven professional experience in both manual and automated QA—you know how to break things and prevent bugs before they reach users. - Hands-on experience building automation frameworks from scratch, ideally using Playwright and TypeScript (or similar tools). - Strong experience integrating automated tests into CI/CD pipelines (e.g., GitHub Actions, GitLab CI). - Solid understanding of software development, testing principles, and Agile/DevOps workflows. - Experience testing web applications, APIs, and mobile apps (React Native experience a plus). - Experience in fast-paced startup environments and the ability to define QA strategy, processes, and standards from the ground up. - Excellent analytical, problem-solving, and communication skills in English. - Proactive, adaptable, and comfortable taking ownership in a rapidly scaling environment. NICE TO HAVE - Experience with performance or security testing tools. - Background in fintech or digital banking helpful but not essential. WHY US? - We recently raised $39 million in our Series A (led by Accel), positioning the company for major growth and giving you a rare chance to join while things are still moving fast - Work alongside a founding team from Monzo and BigPay, bringing top-tier fintech expertise to the company. - Take ownership of QA automation from the ground up: design the strategy, choose the tools, and build frameworks that will shape how we ship products. - Influence the way we build, test, and release software, while collaborating with experienced engineers and growing your career in QA and automation.

Location: Cyprus; Georgia; Poland; Spain; Serbia; Portugal We are looking for a Lead FullStack Engineer with strong backend expertise to help us build reliable, scalable, and high-quality products. You will lead a small engineering team consisting of 3 engineers and 2 QA specialists. This is a hands-on role requiring deep involvement in architecture, complex technical challenges, and production development. We expect you to actively leverage AI tools to improve engineering quality and development velocity. Responsibilities Design and develop scalable backend services and APIs. Drive architecture decisions and ensure high engineering standards. Write production-ready code and actively use AI tools to accelerate development. Solve complex technical challenges and improve system reliability. Lead code reviews and maintain code quality across the team. Mentor engineers and help increase team productivity. Collaborate closely with Product, Design, and QA teams. Continuously improve development processes and engineering practices. Requirements 7+ years of software engineering experience. Strong commercial experience with Node.js and TypeScript. Experience designing scalable architectures and distributed systems. Solid understanding of PostgreSQL, Redis, REST APIs, and asynchronous patterns. Experience with Docker and CI/CD pipelines. Experience leading engineers and driving technical decisions. Strong hands-on approach and willingness to stay close to the code. Experience using AI tools such as Cursor, GitHub Copilot, Claude Code, or similar in daily development. English B2/C1. Nice to Have Experience with React or Angular. Experience with RabbitMQ, Kubernetes, and GitOps. Experience with Web3 or blockchain products. Experience integrating LLM APIs and AI capabilities into products Benefits Professional growth: support for courses, conferences, and English learning (up to 100% coverage). Work-life fit: remote or hybrid format with flexible hours across international teams. Paid leave: up to 20 vacation days +  8 company holidays + 5 personal days per year Recognition programs: structured performance reviews and team awards. Team culture: retreats in international locations (for example, company apartments in Cyprus).