Вакансии

Задачи: — Решать технические проблемы клиентов от начала до конца (Helpdesk + Slack) в рамках SLA — Проводить анализ корневых причин с использованием Grafana, Datadog (логи, метрики, трассировки) — Создавать дашборды мониторинга и проактивные оповещения — Писать скрипты на Python для автоматизации и массовых операций — Активно использовать AI-инструменты (Claude, Cursor, ChatGPT) для ускорения устранения проблем Требования: — Опыт ежедневной работы с LLM и prompt engineering — Практические навыки работы с Grafana/Datadog (создание дашбордов и оповещений) — Скриптинг на Python и хорошее понимание распределённых систем — Опыт работы 2+ года в TechOps/технической поддержке (FinTech/Forex/Crypto будет плюсом) — Отличное владение английским языком (C1+) Условия: — Удалённая работа, предпочтительно в часовом поясе GMT+5 - GMT+8 — Работа в англоязычной команде

Задачи: — Владение и развитие стратегии качества компании, включая дорожную карту и рамки ответственности для инженеров, EM и PM на каждом этапе разработки ПО. — Разработка стратегии тестирования по всему стеку: unit, component, contract, API, end-to-end, мобильное и нефункциональное тестирование (производительность, нагрузка, доступность), согласованная с каждой командой. — Развитие AI-ориентированных инструментов качества, включая агенты и навыки, такие как Claude Code, для генерации тестов, ревью кода и руководства по качеству. — Управление CI/CD и инфраструктурой тестирования: обязательные проверки, quality gates, E2E и визуальные регрессионные пайплайны, бюджеты производительности, стратегия мобильной автоматизации на эмуляторах и реальных устройствах. — Связь сигналов качества из продакшена с инцидент-менеджментом и создание рабочих дашбордов. — Техническое наставничество QA-инженеров по всей организации, поддержка их технического роста и взаимодействие с EM для оценки производительности. Требования: — Опыт использования AI для генерации тестов и создания агентных инструментов (Claude Code, MCP workflows). — Стратегическое мышление с умением адаптировать подходы к уровню зрелости команды. — Глубокий практический опыт создания и поддержки тестовых наборов: компонентных, контрактных, API, E2E, производительности. — Умение обучать и наставлять инженеров, а также заниматься hands-on разработкой CI/CD и инструментов. — Готовность влиять на дисциплину QA без непосредственного управления персоналом на старте, опыт управления QA-командой будет плюсом. Условия: — Годовая зарплата $80,000-$100,000 USD. — Полностью удалённая работа с гибким графиком, ориентированным на результат. — Работа с партнёрами из США, требуется организация рабочего времени с учётом часовых поясов. Роль не предполагает традиционного управления QA-инженерами на старте, не является ролью по утверждению тикетов или блокировке релизов, не требует создания стратегии с нуля и не измеряется ростом команды, а улучшением качества всей инженерной организации.

Задачи: — Владение и развитие стратегии качества компании, включая дорожную карту и рамки ответственности для инженеров, EM и PM на каждом этапе разработки ПО. — Разработка стратегии тестирования по всему стеку: unit, component, contract, API, end-to-end, мобильное и нефункциональное тестирование (производительность, нагрузка, доступность), согласованной с каждой командой. — Развитие AI-ориентированных инструментов качества, включая агенты и навыки, такие как Claude Code, для генерации тестов, ревью кода и руководства по качеству. — Управление CI/CD и инфраструктурой тестирования: контрольные проверки, quality gates, E2E и визуальные регрессионные пайплайны, бюджеты производительности, стратегия мобильной автоматизации на эмуляторах и реальных устройствах. — Интеграция сигналов качества из продакшена с инцидент-менеджментом и создание рабочих дашбордов. — Техническое наставничество QA-инженеров по всей организации, поддержка их технического роста и взаимодействие с EM для оценки производительности. Требования: — Опыт использования AI для генерации тестов и создания агентных инструментов (Claude Code, MCP workflows). — Стратегическое мышление с умением адаптировать подходы к уровню зрелости команды, без навязывания конкретных инструментов или метрик. — Глубокий практический опыт создания и поддержки тестовых наборов: компонентных, контрактных, API, E2E и производительных тестов. — Умение обучать и наставлять инженеров, а также самостоятельно строить CI-пайплайны и инструменты. — Готовность влиять на техническую дисциплину без непосредственного управления командой на старте, с возможностью развития управленческих функций. Условия: — Годовая зарплата от 80,000 до 100,000 USD. — Полностью удалённая работа с гибким графиком, ориентированным на результат. — Работа с партнёрами из США, требуется организация рабочего времени с учётом часовых поясов. Роль не предполагает традиционного управления QA-инженерами на старте, не требует переписывания существующих процессов и инструментов, не является ролью по утверждению тикетов или блокировке релизов, и не оценивается по росту численности команды, а по улучшению качества всей инженерной организации.

Azumo is looking for a highly motivated Python Engineer to develop and enhance high performing and scalable software infrastructures in AI, NLP and data intensive software environments. This position will give you the opportunity to collaborate with a growing team and bright engineering minds in AI computing. You will enjoy the role if you love designing and developing scalable, high performant backend infrastructure using Python, React + Django / Flask / Eve / FastAPI open-source frameworks and connecting applications to modern cloud-based technologies. Responsibilities: — Design, develop and test server features and robust APIs — Integrate existing applications with third party systems — Evaluate multiple approaches and technologies to solving a problem Requirements: — BS or Master’s degree in Computer Science, related degree, or equivalent experience — 5+ years experience with backend development, Python Django / Flask / Eve / FastAPI — Deep expertise with Linux and hosted cloud environments (Heroku, AWS, App Engine or other) — Practical experience with open source technologies, including SQL and NoSQL DBs — Experience integrating solutions with 3rd party APIs (RESTful, OAuth, JSON) — Self-driven and motivated, with a strong work ethic and a passion for problem solving Preferred Qualifications: — Love for coding and willingness to be agile — Hacker spirit within a collaborative team Benefits: — The Python Engineer will be based remotely — Compensation commensurate with experience and candidate potential — 10 PTO — Training Udemy free — English Lessons — Mentored career development — U.S. Holidays — Profit Sharing — $US Remuneration

Требования: — Опыт работы 0–2 года — Образование: BE/BTech/ME/MS/MTech в области электротехники, электроники или эквивалентное Локация: — Bangalore / Pune

Location: Europe Workplace: Remote As a Backend Engineer on Coder's Enterprise Experience team, you'll build the features that help large organizations run Coder in production with confidence. The team owns what administrators and operators need to run Coder well. That covers how it scales, how it's upgraded, how reliably it performs, how it's observed and reported on, how activity is held accountable, and how it's secured. You'll join a cross-functional team of backend, platform, and QA engineers who own the operator experience end to end. You'll ship features from design through production and partner with product and design to solve real operator problems. WHAT YOU'LL DO HERE - Build features end to end, from a design you write within the team's existing approach through production rollout. - Write database migrations that follow the team's patterns for schema compatibility and safe upgrades. - Build the observability, reporting, and audit features administrators rely on to see what their deployment is doing. - Build features that keep enterprise deployments secure, following the team's security practices. - Help investigate and resolve scalability bottlenecks under production-like load, from database access patterns to concurrency in coderd. - Help resolve backend issues surfaced by Coder operators and administrators. - Document the features you build so a reviewer and the next engineer do not have to decode them. - Participate in code reviews, contribute to RFC-style design discussions, and join the on-call rotation. WHAT WE'RE LOOKING FOR - 2+ years of professional software engineering experience. - Professional experience writing and shipping Go. - Working understanding of Go's concurrency model, including goroutines, channels, and the sync package. - Comfortable with SQL, schema changes, and writing migrations. - Strong verbal and written communication skills, including surfacing blockers and uncertainty early. - Solid debugging skills and the persistence to work a problem, and to escalate early when stuck. - A self-motivated, analytical engineer who enjoys difficult technical challenges. BONUS TACOS IF YOU HAVE - (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!) - Experience investigating performance under real-world load, including debugging race conditions. - Experience with observability, audit, or security features in an enterprise product. - Experience with major cloud providers, Kubernetes, and container orchestration. - Experience building or operating distributed systems at a meaningful scale. - Curiosity about the latest developer tooling. OUR TECH STACK - Backend: Go, Postgres, Kubernetes, gRPC - Observability: Prometheus, Grafana - CI/CD: GitHub Actions - General: GitHub, Slack, Discord, Notion ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Location: Remote, Japan GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Customer Success Engineer, you'll expand your impact by partnering with customers in GitLab's group across APJ to help them get measurable value from GitLab through hands-on technical guidance and proactive enablement. You'll serve as a trusted technical advisor, partnering with customers over Zoom and email to improve adoption, unblock implementations, and apply DevSecOps best practices across the software delivery lifecycle. Working closely with Account Executives and Renewals Managers, you'll align technical recommendations to customer goals and help support renewals and expansion by demonstrating outcomes. You'll also contribute back to the broader GitLab team by sharing learnings through documentation and enablement content, while mentoring team members and customers through complex technical challenges. This role is a strong fit for someone who enjoys solving complex technical problems, communicates clearly, and thrives in a remote, asynchronous environment. You're eager to grow into customer-facing technical leadership with strong mentorship and support from a collaborative team. What you’ll do Provide on-demand technical consultancy and solution guidance through Zoom and written channels, helping customers solve day-to-day issues and design and implement GitLab solutions for their DevSecOps workflows. Drive product adoption and measurable customer value across APJ accounts to support renewals and expansion. Deliver technical and architectural guidance across source code management, CI/CD, DevSecOps, and Agile planning to unblock implementations and improve adoption. Partner with Account Executives and Renewals Managers to align technical recommendations to customer objectives and account plans that support retention and growth. Plan and lead customer workshops, demos, and enablement sessions that help teams adopt GitLab confidently and drive measurable adoption and value, supporting renewals and expansion across APJ. Maintain and grow your specialty competency in GitLab capabilities and relevant DevSecOps tooling, staying current on new product features and patterns. Contribute to scalable enablement by improving documentation, sharing knowledge through internal and external channels (for example, tutorials or technical content), and mentoring team members and customers to build technical competency and adoption. Manage multiple customer engagements in parallel, prioritizing effectively and communicating status, risks, and next steps to keep implementations on track. What you’ll bring Experience providing technical consultancy and solution guidance through video calls and written channels, helping users or customers adopt technical solutions successfully. Familiarity with DevSecOps workflows and related practices across areas such as source code management, CI/CD, security, and Agile planning, with the ability to grow breadth over time. Hands-on technical background in software development, systems engineering, or similar technical environments, or equivalent practical experience. Strong communication and collaboration skills, including the ability to explain complex technical topics clearly and work effectively with customers, account teams, and cross-functional partners. Ability to lead or support workshops, demos, and enablement sessions that build confidence and drive adoption. Ability to manage multiple priorities in a remote, asynchronous environment while communicating status, risks, and next steps clearly. Interest in supporting customers across APJ and adapting to different cultures, working styles, and technical maturity levels. Must be based in Japan, with full working rights in Japan Must be fluent in Japanese and English About the team In this role, you'll support our customers across APJ, delivering workshops, demos, and best-practice guidance while contributing back to our shared documentation and enablement resources. For more on how we work, see Customer Success Engineering team handbook page . How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Требуется инженер по верификации дизайна SoC с опытом работы от 2 до 4 лет.

Задачи: • Работать как инженер с применением AI в backend, web, Android и iOS. • Сотрудничать с продакт-менеджерами для превращения целей в решения. • Проектировать функции с учётом ограничений, таких как масштаб и задержка. • Создавать и поддерживать полный жизненный цикл функций, включая качество и тестирование. • Выпускать функции и измерять их влияние на пользователей. Требования: • Опыт разработки ПО 5+ лет, особенно в backend. • Глубокие знания AI-разработки и осознание рисков. • Уверенность в работе с несколькими технологическими стеками и языками. • Опыт работы с высоконагруженными распределёнными системами. • Владение английским языком на уровне Intermediate или выше. Желательно: • Опыт с Java 17+, Spring Boot, Docker и Kubernetes. • Опыт работы с live-streaming или высокомасштабными потребительскими продуктами. Условия: • Конкурентная зарплата и опционные программы (все являются партнёрами). • Официальное трудоустройство на Кипре (поддержка визы для сотрудника и супруга). • Офис в Лимассоле с питанием, закусками и творческой атмосферой. • Медицинская страховка (100% для сотрудника, 75% для семьи). • Доступ к матчам и мероприятиям Aris Limassol F.C. • Возможности профессионального роста и уроки греческого языка. Формат работы: офис, Лимассол.

Your Purpose At Bitso, the Software Engineer on the Nexus Squad owns the reliability, scalability, and evolution of our mission-critical pay-in and pay-out systems, the financial backbone that moves billions of dollars worldwide. You will design and deliver event-driven, high-throughput solutions that ensure every pay-in and pay-out is fast, accurate, and resilient. Working closely with product, infrastructure, and compliance stakeholders, you will shape the technical direction of a domain where the bar for quality is exceptionally high, resilience is built through continuous learning, and every millisecond of performance matters — for the millions of retail users and the businesses that rely on Bitso to power their financial operations. Reports To This role reports to the Nexus Engineering Manager. Who You Are You are experienced in Java backend development, with a proven track record of shipping production systems at scale. You are familiar with event-driven architecture patterns (event sourcing, CQRS, sagas) and have hands-on experience operating Apache Kafka in high-throughput, real-money environments. You have designed and implemented distributed, fault-tolerant microservices that handle financial or similarly critical transactional data. You have solid experience with relational databases (PostgreSQL preferred), including schema design, migrations, and query optimization. You are comfortable with cloud-native infrastructure (AWS, GCP, or equivalent), containerization (Docker, Kubernetes), and CI/CD pipelines. You communicate complex technical concepts clearly in English, written and spoken, to engineering peers, product managers, and senior leadership. You work with a high degree of autonomy and ownership — you identify problems, propose solutions, and see them through to production. You are familiar with AI-assisted development flow and tools (Cursor, Claude, CodeRabbit). You have a strong sense of urgency and are comfortable operating in a fast-paced, high-stakes fintech environment. Financial Domain (nice to have): Familiarity with payment rails, reconciliation or idempotent transaction processing in financial systems is a strong plus. What You Will Do Own pay-in and pay-out systems: design, build, and maintain the core infrastructure that processes financial transactions and moves billions of dollars worldwide. Architect event-driven solutions: design Kafka-based pipelines and workflows that guarantee correctness, ordering, and resilience at scale. Drive technical decisions: lead architecture discussions, define and use patterns, and set standards for the pay-in and pay-out domain in collaboration with the Nexus team. Deliver high-quality code: write clean, well-tested, high-performance Java code and champion engineering best practices through code reviews. Embrace AI-assisted development: leverage tools like Cursor, Claude, and CodeRabbit as part of your everyday workflow, contribute to skills and guardrails development, and apply Spec-Driven Development (SDD) practices to ensure solutions are well-defined, reviewable, and aligned before implementation begins. Ensure system reliability: proactively monitor, debug, and resolve production incidents with a focus on root-cause analysis and lasting fixes. Collaborate cross-functionally: partner with Product, Compliance, and Finance stakeholders to translate complex business requirements into sound technical solutions. Mentor and uplift: share knowledge with fellow engineers, contribute to internal tech talks, and foster a culture of continuous improvement within the squad. Improve observability: instrument services with comprehensive metrics, logs, and traces to enable rapid diagnosis and confident deployments. Research in Diversity, Equity, and Inclusion suggests that individuals may hesitate to apply for jobs if they do not meet all the listed criteria. At Bitso, we value diversity and your unique strengths could be just what we're looking for. If this role excites you but you don't match every point in the description, we still want to hear from you.

Location: Barcelona, Spain; Sant Cugat del Vallès, Spain; Zaragoza, Spain; Girona, Spain; Reus, Spain; València, Spain Location: Barcelona (Hybrid / Flexible) Contract Type: Contractor Full-Time / Enterprise Project Engagement About Xenon7 Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprise clients and innovative startups on high-impact projects across Data, AI, Cloud, and Software Engineering. Our expertise in AI solution architecture and specialized technical talent allows us to partner with enterprise leaders on transformative initiatives, driving innovation and business growth. Job Summary We are seeking a high-caliber Forward Deployment Engineer (FDE) to sit at the intersection of enterprise AI platforms and executive Finance business functions for our Fortune 100 enterprise client. This role bridges advanced AI platform engineering with direct business impact—translating ambiguous financial challenges into working AI applications, deploying them into regulated client environments, and iterating in tight loops to drive measurable ROI. Rather than building static models or waiting for formal spec sheets, you will operate as a product-minded technical lead. You will prototype user-facing tools in days, deploy agentic and RAG workflows on top of enterprise data stacks (Databricks Genie), and ensure high adoption across FP&A, Controllership, Treasury, and CFO leadership. Key Responsibilities End-to-End AI Application Prototyping & Delivery Own the full lifecycle of AI solutions for Finance business units—from initial discovery with CFO stakeholders to production deployment, user adoption, and ROI measurement. Rapidly prototype vertical applications using Streamlit, Databricks Apps, FastAPI/Flask, or lightweight React interfaces within 1–2 weeks to gather real user feedback. Handle "last mile" execution: edge cases, data quirks, business rule exceptions, and user training to turn prototypes into sticky enterprise products. Agentic Systems & LLM Engineering Build production-grade vertical AI tools leveraging Databricks Genie (Genie Spaces, semantic models). Construct robust RAG pipelines incorporating advanced chunking, vector databases (Pinecone, Chroma, FAISS, Azure AI Search, Cortex Search), retrieval evaluation, grounding, and citation. Implement LLM orchestration frameworks (LangChain, LangGraph, LlamaIndex) and apply rigorous prompt engineering with hallucination and accuracy evaluation discipline. Enterprise Data & Regulated Integration Deploy applications inside heavily regulated enterprise environments, adhering strictly to RBAC, data residency, audit, and compliance constraints (SOX, GxP). Connect solutions to governed datasets, semantic models, and core enterprise platforms (SAP, Workday, Coupa, ERP) via secure REST APIs. Instrument all deployed apps with usage metrics, telemetry, and business outcome tracking from day one. Strategic Stakeholder Advisory & Pattern Extraction Work directly with senior Finance leadership (CFO office, FP&A, Controllership) to translate ambiguous operational friction into crisp technical roadmaps. Extract reusable code components, prompt templates, evaluation harnesses, and retrieval patterns into shared enterprise assets for broader deployment. Requirements Experience & Mindset Experience: 5+ years of hands-on software development and full-stack AI application deployment. Product-Shaped Builder: Strong bias for action; comfortable shipping rough prototypes in Week 1 over polished spec documents in Week 4. Ambiguity Tolerance: Proven ability to navigate vague business problems without predefined specifications. Stakeholder Communication: Outstanding ability to interface directly with senior business leaders without requiring intermediary Business Analysts. Must-Have Technical Stack Languages & Frameworks: Python, FastAPI/Flask, SQL, and UI frameworks (Streamlit, Databricks Apps, React). AI Platforms: Direct hands-on experience with Databricks Genie . LLM Engineering: Production experience with LangChain, LangGraph, LlamaIndex, vector search engines, and prompt evaluation harnesses. Cloud & DevOps: Deep working knowledge of Cloud platforms (Azure preferred, AWS/GCP acceptable), modern Git workflows, CI/CD, and basic MLOps awareness (observability, versioning via LangSmith, Datadog, etc.). Domain Competency (Finance Focus) Solid foundational understanding of core Finance business processes (FP&A, order-to-cash, procure-to-pay, record-to-report, close cycles) and common financial metrics (OPEX, EBITDA, gross margin, working capital). Nice-to-Haves & Certifications Prior FDE, Solutions Engineer, or Field Engineer experience at high-growth AI/Data companies (Palantir, Databricks, OpenAI, Anthropic). Industry background in Life Sciences, Pharma, Healthcare, or CPG enterprise Finance. Experience with enterprise Finance software (SAP S/4HANA, Veeva, Workday Adaptive, Oracle Financials). Certifications: Databricks Certified, or Azure AI Engineer Associate (AI-102). What This Role Is NOT Not a pure Data Scientist or ML Researcher: You will not be training or fine-tuning foundation models from scratch; you are applying existing models to business problems. Not a non-coding Architect: This is a 100% hands-on builder role. Not a pure Backend or MLOps Engineer: You must be comfortable owning the user-facing interface and direct business interaction.

Location: Karachi, Pakistan; Lahore, Pakistan; Islamabad, Pakistan Top 3 Reasons To Join Us Competitive Salary International Environment Working on the latest tech for the Insurtech Market Leader About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global no-code insurance platform for health, life, and P&C We’re the winner of the Insurtech of the Year in all of Asia and other awards globally We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world We are fully funded and backed by reputable VC funds and strategic institutional investors We have a global presence in Asia, EMEA and the Americas We’ve grown our annualized revenue by over 30x since January 2021 We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world What You Will Do Design, implement and maintain new features and functionalities for the SAAS platform, understanding the requirements of insurance businesses and translating them into scalable and efficient software solutions Work on both the front-end and back-end of the application, demonstrating expertise in various technologies, frameworks, and programming languages Work collaboratively with product, design, engineering teams, and UX designers to understand end-user requirements, use cases, and technical concepts, translating them into a cohesive and effective solution while ensuring a seamless user experience. Optimize the performance of the application to handle large amounts of data and high user traffic, delivering a smooth user experience Participate in code reviews and enforce best coding practices, while also writing and executing unit tests and integration tests to maintain code quality Investigate and promptly fix bugs to maintain the reliability of the platform Ensure security and compliance by following best practices for securing web applications and adhering to relevant regulations in handling sensitive customer data Stay up-to-date with the latest technologies, frameworks, and best practices to ensure we remain competitive and innovative Design the platform with scalability and flexibility in mind, accommodating new features and changes as the number of clients and users grows Provide mentorship to junior developers, aiding in their technical growth and effective contribution to the team's goals What We Need Proven experience 6 years as a Full Stack Engineer, working on complex SAAS applications Strong technical background with proficiency in back-end technologies, such as .NET Core, C#, GraphQL, MongoDB, Docker Proficiency in front-end technologies such as Javascript, Vue.js and/or React.js Familiarity with cloud platforms like AWS, Azure, or Google Cloud for building scalable applications Experience with microservices and/or clean architecture Thorough understanding and practical experience with Test-Driven Development (TDD) to ensure robust and well-tested code Experience with unit, integration and function testing using front-end and back-end testing libraries Proficiency in Domain-Driven Design (DDD) principles to create a maintainable and modular architecture that aligns with business domains In-depth knowledge of web security best practices and experience in ensuring compliance with industry regulations Demonstrated experience in performance optimization for high-traffic web applications Experience with container technologies like docker and good understanding of cloud infrastructure and solutions. Experience with agile development methodologies and collaborating with cross-functional teams Excellent problem-solving skills and a proactive approach to troubleshooting and bug fixing Strong communication skills to effectively interact with both technical and non-technical team members with diverse backgrounds A passion for staying updated with the latest trends, technologies, and best practices in software development Why You'll Love Working Here Competitive renumeration package International Environment 15 days annual leave, 10 sick leaves, special leaves Annual Performance Bonus Stock Options after 6 months Company activities and events Learning and development plan CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: Athens, Greece; Acharnes, Greece Alumil, one of the most evolved and technologically advanced groups in research, development and producing of architectural aluminium systems in Europe, desires to cover the Customer Consultant role in Athens. ✅ Are you ready to become member of a dynamic engineering team? ✅ Trying to find the right solution regarding architectural aluminium systems based on project needs is what you want? Then this position for you! Who are we looking for? We are looking for an engineer with strong communication skills and a real interest for better and effective customer experience. You will be member of the Sales Division. Your role is located in our offices in Acharnes, Athens, and you will be next to our clients, project based, since you’re responsible to answer any inquiries they have about our systems and the projects technical specs. In specific, you will collaborate with the sales team to consult and advice on aluminium requirements handling regional and internal projects/projects stakeholders directly. You will conduct static studies regarding the appropriate profile selection during the project’s designing phase and participate in creating the technoeconomical proposals using the company's cost estimation tool. You will be responsible for carrying-out project analysis including complete technical support and value engineering to enhance customer satisfaction and loyalty. Communication & customer support is your second skin. The stakeholders you’re coming in touch with could be architects, private individuals, fabricators, or the group’s subsidiaries. Requirements University or TEI degree as an Architect/Civil/Mechanical Engineer (or anything similar) Excellent knowledge of English Previous experience with aluminium will be appreciated. Good knowledge of AutoCAD or other design software Very good knowledge of computers Organizational skills, Attention to detail, Problem-Solving Benefits Provision of private life & health insurance Benefits according to performance Continuous learning and support Excellent working environment Annual training plan based on your needs Role specific benefits About us… Alumil brings the best of us forward. Our mission is to deliver the creativity of all the Alumilers and thus make the world a more sustainable place. Afterall, “meraki” in Greek, means spirited work, without forcing yourself to be someone you’re not. Be you, be unique, make the difference, that’s the most precious thing to us. Responsibility, innovation, inclusion, and teamwork are the keywords we focus on. Build excellence with us every day. ALUMIL opposes any form of discrimination, unequal behaviour or treatment, and any violation of human rights, and is committed to ensuring equal opportunities in employment. In the recruitment and evaluation of employees, it does not discriminate on the grounds of race, sex, gender identity or gender expression, religion, age, disability, sexual orientation, nationality, political beliefs, social or national origin, or descent. ALUMIL complies with the statutory provisions strengthening the application of the principle of equal pay for men and women for equal work or work of equal value (Law 5316/2026). The selection process is gender-neutral, and recruitment procedures are conducted in a non-discriminatory manner. Candidates are assessed solely on the basis of objective, job-related criteria. Every candidate has the right to be informed, in writing or orally, of the pay range for the position prior to the job interview. The pay range has been determined on the basis of objective, gender-neutral criteria, free of any other form of discrimination, in accordance with the company’s pay structure.

Location: Madrid, Spain; Lisbon, Portugal; Sofia, Bulgaria; Podgorica, Montenegro; Belgrade, Serbia CloudLinux builds Linux infrastructure and security products. You will join our Automation & Management Services cell, working closely with Technical Program Manager to solve problems across teams and services: cloud-cost data, infrastructure inventory, network policies and capacity workflows. Check out our website for more information https://cloudlinux.com/ We are looking for a Senior Automation Engineer to join the Infrastructure team. You will independently own agreed outcomes—from clarifying the need with engineering teams, Finance or Security to delivering and operating a useful system. The work includes new development, improvements, repairs and maintenance. There is no traditional on-call rotation; you respond to alerts from your own systems during working hours. What you will do Turn an incomplete brief into an agreed result and workable plan. Track cross-team dependencies, explain tradeoffs, raise blockers early and communicate changes to estimates. Confirm completion with the users. Build maintainable software and cloud/infrastructure API integrations. Handle credentials, pagination, retries, partial failures and repeated execution so unattended workflows remain safe and reliable. Transform billing, usage and inventory data into repeatable outputs. Reconcile totals and periods, apply agreed allocation rules and make missing or uncertain mappings visible. Extend inventory, network-policy and capacity automation using existing systems. Retain necessary human decisions and verify the operational result. Deliver changes through version-controlled code and CI. Understand live state, test recovery and release safely; diagnose failures across code, Linux, APIs, data and networking. Own monitoring, actionable alerts, documentation and maintenance. Leave systems another engineer can operate, and use coding agents while remaining responsible for design, code, tests and outcomes. Requirements Must have Senior-level experience, typically 5+ years in software, infrastructure, platform or automation engineering. You can explain your own design decisions, implementation and operational results. Strong production Python, software design, testing, debugging and API integration skills. You can understand unfamiliar code and improve existing systems. Hands-on AWS experience and solid Linux/networking fundamentals, including diagnosis across host, service, network and cloud boundaries. Practical SQL and data validation: joins, units, periods, ownership mappings and reconciliation. You distinguish evidence from assumptions. Safe infrastructure delivery through IaC and CI: state, drift, idempotency, dependencies and rollback, using tools such as Terraform/OpenTofu and Ansible. Demonstrated advanced coding-agent workflows for real engineering tasks. You plan and delegate substantial work, supply context, run agents without continuous supervision within defined permissions and stop conditions, and independently explain, debug, test and verify their output. Autonomous delivery and clear collaboration: investigate problems, obtain decisions, challenge unsafe or unnecessarily complex approaches and follow through. English B2 or higher for technical discussions, written decisions and internal customer communication. Nice to have Experience with cloud billing or FinOps tooling (e.g. AWS CUR/FOCUS, Athena), inventory or event-driven integrations (e.g. NetBox or similar), network policies, flow monitoring, identity and access management, capacity tooling, additional cloud platforms, OpenNebula, Kubernetes, Go, or self-service systems. Our environment includes Python, Ansible, Terraform/OpenTofu, GitLab CI/CD, Grafana, and related observability tools. Prior experience with every tool or domain is not required. We value the ability to quickly learn unfamiliar technologies, products, and internal business rules. Benefits What's in it for you? A focus on professional development. Interesting and challenging projects. Fully remote work with flexible working hours, which allows you to schedule your day and work from any location worldwide. Paid 24 days of vacation per year, 10 days of national holidays, and unlimited sick leaves. Compensation for private medical insurance. Co-working and gym/sports reimbursement. Budget for education. The opportunity to receive a reward for the most innovative idea that the company can patent. By applying for this position, you consent to the processing of your personal data as described in our Privacy Policy ( https://cloudlinux.com/candidate-privacy-notice ), which provides detailed information on how we maintain and handle your data.

Требования: — Коммерческий опыт в роли Data Engineer. — Хорошее владение Python или Scala / Java для написания кода обработки данных. — Отличные знания SQL (оконные функции, сложные объединения, оптимизация запросов). — Опыт работы с современными хранилищами данных (колоночные/реляционные/NoSQL БД) и инструментами обработки больших объемов данных. — Опыт автоматизации и управления процессами с помощью современных систем оркестрации (например, Airflow или аналоги). — Понимание принципов контейнеризации (Docker), работы с системами контроля версий (Git) и базовые навыки работы в Linux-окружении. — Аналитический склад ума, умение работать в команде, структурированность и проактивность.

Location: New York, New York, United States About the Role iCapital is looking to hire a Data Engineering Senior Vice President, to lead the evolution of the enterprise data platform that powers AI, automation, analytics, and data-driven decision making across the firm while positioning proprietary data as a strategic business asset. This role is responsible for defining and executing the architectural vision, roadmap, and operating model for a modern, AI-ready data ecosystem built on a strong foundation of cloud technologies and established engineering capabilities. The position will provide leadership across platform architecture, engineering standards, and cross-functional alignment while overseeing the development of scalable data products, semantic layer capabilities, and future AI enablement initiatives. Partnering closely with an engaged executive steering committee, this individual will play a critical role in shaping how data supports the firm's long-term growth and innovation strategy. Responsibilities Define and own iCapital's enterprise data architecture, including the Snowflake platform, semantic layer, reusable data products, and AI-ready ecosystem. Establish standards for data engineering, governance, security, observability, quality, and documentation. Own platform reliability, SLAs, DataOps practices, and incident management. Lead architectural strategy, tooling decisions, and platform investment recommendations. Develop and execute the multi-year Data Engineering roadmap aligned to business and AI priorities. Translate enterprise data strategy into prioritized engineering initiatives and platform capabilities. Build business cases for platform investments and proactively address technical debt and future scalability needs. Partner with business and technology leaders to deliver data products that support enterprise objectives. Communicate platform progress, risks, and investment decisions to executive stakeholders. Build and lead a high-performing Data Engineering organization and culture. Qualifications 12+ years of experience in data engineering, including 5+ years leading large-scale engineering organizations across multiple functions Proven track record designing, building, and operating enterprise-scale cloud data platforms (Snowflake, Databricks, or equivalent), including architecture, security, governance, and cost optimization Deep expertise establishing data engineering best practices across pipeline design, data quality, observability, data contracts, documentation, and operational support Demonstrated success developing multi-year platform strategies, securing investment, prioritizing initiatives, and delivering measurable business outcomes Experience partnering with and presenting to executive stakeholders within regulated industries, translating complex technical concepts into business impact Hands-on experience with analytics engineering, semantic layer development, and modern data transformation frameworks such as dbt Financial services experience within asset management, wealth management, fintech, banking, or insurance, including knowledge of regulated data environments and governance requirements Deep expertise in Snowflake architecture, performance optimization, security, and data sharing at enterprise scale Knowledge of alternative investments, wealth management, fund administration, or related financial services domains Experience building AI- and ML-enabled data platforms, including semantic layers, feature stores, model-serving infrastructure, or LLM-integrated architectures Experience with Informatica or comparable enterprise data catalog, metadata management, and MDM platforms Proven success scaling data engineering organizations through periods of rapid growth, including organizational design, hiring, and leadership development Benefits The base salary range for this role is $200,000 to $250,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: Canada Remote; Argentina Remote Workplace: Remote ABOUT THE TEAM Teams do their best work when they’re aligned, and alignment depends on shared context. Today, the context that matters most to a team is scattered across a dozen tools: tickets in Jira and Linear, specs in Confluence and Google Docs, decisions buried in meeting notes, threads in Slack and Teams. Every new conversation starts with someone hunting it down. We’re changing that. The Integrated Workflows team is building the layer that brings a team’s real working context into Mural, so people (and the AI working alongside them) can align on shared knowledge and design the workflows they need. When this works, a person opens a canvas and the project, the open work, the last three meetings, and the doc everyone keeps referencing are already there. No team should have to start from a blank canvas. That’s the problem we’re solving, and we’re early enough that the person in this seat will shape how it’s done.   YOUR MISSION This isn’t connector maintenance. You’ll be defining how an AI-native product reaches into the outside world: what context to pull, how to represent it so models can reason over it, how to respect permissions and privacy across systems that each model them differently, and how to make all of that feel effortless to the end user. Few teams anywhere are working at this intersection of AI, integrations, and collaborative product design. WHAT YOU'LL DO - Design and build connectors, including MCP-based connectors, that bring context from systems of record, docs and wikis (Confluence, Google Docs, Notion, and others), meeting notes, and communication tools into the Mural canvas - Shape how that context is modeled, normalized, and made useful to users, so the canvas becomes a live picture of how a team works rather than a snapshot of one meeting - Bridge product and engineering: translate messy realities (different auth models, data shapes, rate limits, permission systems, partner review processes) into a product experience that just works - Build the integration platform, the shared frameworks, services, and patterns that let any team at Mural ship connected, context-aware experiences without starting from scratch - Own the security and trust posture of everything crossing our system boundary, including permissions, data handling, and graceful behavior when an upstream service misbehaves - Maintain and evolve our public API with the backwards-compatibility discipline a published interface demands - Lead projects end to end, from research and prototyping through release and iteration, with a bias toward getting value into customers’ hands quickly - Use AI tools as a core part of how you build, and help the team get better at it - Mentor colleagues, contribute to technical design, and raise the bar on code quality, testing, and documentation WHAT YOU'LL BRING - A product mindset: you care about why something is being built and who it’s for, not just how - 5+ years building and shipping production software at scale, with fluency in TypeScript/JavaScript and Node.js (React and Python are a plus) - Hands-on experience integrating with third-party APIs and platforms: OAuth and token lifecycle, webhooks, rate limiting and backoff, pagination, versioning, and degrading gracefully when things fail - Genuine curiosity about AI-driven products and development practices, and a willingness to experiment - A track record of designing scalable, reliable systems and delivering them iteratively - Strong communication skills and comfort leading technical discussions and navigating trade-offs NICE TO HAVE - Familiarity with the Model Context Protocol (MCP) or interest in learning it - Experience with the Microsoft ecosystem (Teams, Office add-ins) or shipping through a partner marketplace or app review process - Experience designing or maintaining a public developer API - Background in high-growth or startup environments Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. EQUAL OPPORTUNITY  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.