Вакансии

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.

Location: Toronto; Canada Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! WHY THIS ROLE? This role is for people who love building tools for their coworkers. The Internal Applications team creates tools that help us create better models. In this role you will collaborate with internal stakeholders, which include annotators, ML researchers, product managers and more. Join our team of builders who create tooling that will pave the way for the next generation of large language models! AS A FULL-STACK SOFTWARE ENGINEER ON THE INTERNAL APPLICATIONS TEAM, YOU WILL: - Work with a small talented and enthusiastic team of software engineers - Contribute to delightful experiences for our user-facing products, meticulously crafting code for browsers and servers - Collaborate and grow with your engineering colleagues of all levels through direct pairing sessions, architectural designs, documentation and talks - Identify and remove roadblocks to enable your team to increase its engineering velocity. - Build resilient systems that are mission-critical - Keep up with the cutting edge and adopt new technologies to improve performance and reliability YOU MAY BE A GOOD FIT IF: - You have experience shipping products with a large number of stakeholders - You’re comfortable with the front and back end of the stack, and have previously worked with Next.js, TypeScript, React, and Python - You have hands-on experience with complex SQL queries - You have excellent communication skills and believe that documentation is a great way to get feedback and discuss technical implementations and designs - You’re excited to add new technologies to your toolbox and use them where it makes sense - You have the ability to take complex needs and goals and develop easy to understand explanations for all audiences - You’re excited about AI and have the motivation to scale a company FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: United States Description MEMX is searching for a Network Engineer to support the design, implementation and maintenance of its low latency trading infrastructure for second shift 12 AM - 9 AM ET. Shift time for this role will be: 12 AM - 9 AM ET MEMX currently has a U.S. presence in these states: California, Colorado, Connecticut, Delaware, Florida, Georgia, Illinois, Kansas, Maine, Maryland, Michigan, Nevada, New Jersey, New York, North Carolina, Pennsylvania, South Carolina, & Utah. *If you live outside of the above states, please list in your application and our team will evaluate. What You’ll Do Work to design, implement and support the low latency exchange network environment Configure the enterprise and production network devices with Ansible and Python as required Respond to network alerts and error logs Respond to network incidents, remediate, and perform RCA Perform new customer connection turn-ups Work on customer tickets such as add/mod IP prefixes, troubleshoot connectivity Perform new product analysis and validation Coordinate with the Security and business teams to help engineer/implement secure end user solutions Work with Data Center and Circuit providers to continually move the exchange infrastructure forward on more cost efficient and performant options Requirements 5+ years of hands-on experience with low latency, highly available distributed systems and the network architectures needed to run them Understanding of layer2 and layer3 network protocols e.g. IGMP, MLAG, ARP, BGP, NAT, PIM Understanding of IP multicast routing e.g. PIM-SM, PIM-Bidir Experience with network operating systems (EOS, IOS, PanOS) Understanding of timing protocols NTP,PTP Understanding of various optical fiber types and transceivers Scripting experience (Python, Ansible) preferred Ability to analyze packet captures using tools like Wirshark, tcpdump Mac, Linux familiarity preferred Experience with firewall design and configuration Benefits At MEMX you will have the ability to work with a talented team of professionals who bring diversity of thought and background. You will have the opportunity to shape the future of our company and the impact MEMX will have on our clients and the broader markets. We offer competitive employee benefits and perks and will continue to make this a priority to attract the best. Work From Home Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k) Life Insurance (Basic, Voluntary & AD&D) Unlimited Paid Time Off Generous Paid Family Leave Short Term & Long-Term Disability Training & Development Wellness Resources Pay Range: $130,000 to $160,000 *Pay ranges are a general guideline only and not a guarantee of compensation. Compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Equal Opportunity Statement MEMX is an equal opportunity employer. We are committed to creating a diverse and inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Diversity Inclusion Statement At MEMX, we believe that diversity and inclusion are essential to driving innovation and success. We welcome and celebrate individuals from all backgrounds and perspectives, and we strive to create an inclusive culture where everyone can thrive.

Location: Bengaluru, India Workplace: Hybrid ABOUT AVOCA Avoca is transforming how home service companies engage with their customers. Our AI-powered conversational agents handle every high-value inbound call, from booking jobs, qualifying leads, and driving higher revenue, all at a speed and consistency unmatched by human call centers. We're a Series B startup backed by Kleiner Perkins, Meritech Capital, General Catalyst, and other top-tier investors, with $125M raised and a $1B valuation. We grew 10x in 2025 and have scaled to 170+ employees in under two years across our NYC headquarters and Santa Barbara office. In a $1T+ market where 85% of missed calls go to competitors, we're building the category-defining platform for AI-driven customer engagement, serving the largest brands in home services. With high-energy, in-office teams in both locations, every hire here has an immediate and visible impact. About the Role We're looking for a software engineer who ships fast without dropping quality. You'll own features end-to-end with support from senior engineers, learn how AI systems behave in production, and see your work reach customers within days rather than quarters. The Bengaluru team is product engineering, so everything you build is customer-facing. What You'll Do - Development & Implementation - Build scalable backend services, APIs, and AI-powered features using TypeScript/Node.js, Python, and cloud platforms. - Collaboration & Learning - Work closely with senior engineers, participate in code reviews, and contribute to technical and architecture discussions. - Product Integration - Partner with Product, Design, and Customer Success to translate requirements into robust, customer-facing solutions. Specifically, you'll: - Build and ship features end-to-end, from backend services to customer-facing interfaces. - Work on AI-powered workflows: prompt design, evaluation, and the systems that make LLMs reliable in production. - Build integrations with CRM systems, scheduling platforms, and third-party communication tools. - Fix real customer problems, often with a short loop between report and fix going live. - Write comprehensive tests, add monitoring, and take ownership of what you ship after it ships. - Participate in on-call rotation and incident response to ensure system reliability. - Take loosely defined problems, ask the right questions, and drive them to done with minimal hand-holding. Work Environment & Schedule - Hybrid, based in Bengaluru - regular office presence expected for collaboration and team coordination. - Some overlap with US business hours may be needed for client coordination and project work. What You'll Bring - 2+ years of software engineering experience, ideally full-stack, including at least 1 year in a fast-paced startup or growth-stage environment. - Strong programming skills in modern JavaScript/TypeScript and Python, with backend development experience. - Hands-on experience with AWS or GCP and modern deployment practices. - Experience building and maintaining RESTful APIs and understanding of service-oriented architectures. - Comfort working with SQL databases at scale. - A track record of fast, high-quality execution - you move quickly and your work holds up. - Self-driven: you unblock yourself, chase down context, and don't need work broken into small pieces. - Comfort with ambiguity and changing requirements in a fast-moving startup. - Curiosity about AI and LLMs - direct experience is a plus, appetite to learn is required. - Low ego, high energy, and a bias toward shipping. Bonus Points - Experience with AI/ML technologies, LLMs, or conversational AI systems. - Background in B2B SaaS or enterprise software. - Previous startup experience or exposure to rapid scaling. - Contributions to open source or active developer community participation. - Experience with real-time systems, or event-driven architectures. - Familiarity with Docker/containerization and orchestration tools. Why Avoca - Compensation in line with industry standards and above. - Direct impact - your code powers thousands of businesses and millions of customer interactions. - Accelerated learning - work on cutting-edge AI technology with experienced mentors. - Clear paths for advancement as the company and team scale. - A fast-moving, collaborative culture built for builders who thrive on speed, iteration, and impact. WHY AVOCA At Avoca, you’ll be part of a team that’s building a category-defining company at the center of a massive market opportunity. We’re a fast-moving, collaborative team with a culture designed for builders who thrive on speed, iteration, and impact. Avoca provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.

Location: Remote, Canada 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 Senior Distribution Engineer on the GitLab Build team, you'll manage build pipelines, evaluate support needs for new services, platforms, and architectures, and maintain existing ones. You'll keep the components that make up GitLab up to date and license-compliant, and make them available for users' platforms and architectures. You'll work with development teams as they support new features and contribute to projects that include community packaging efforts. What you’ll do Build and maintain packages for supported Linux distributions and architectures, including release activities. Develop and maintain official GitLab container images and tooling that enables efficient component building. Enable development teams to integrate their components into GitLab packages by providing guides and infrastructure that support self-service. Collaborate with security teams to identify and mitigate vulnerabilities and maintain secure, up-to-date dependencies. Manage cloud marketplace listings and integrations with major cloud providers. Maintain and test installation, update, and upgrade documentation and processes before release. Ensure license compliance across bundled dependencies. Submit components and packages to partners for validation and certification. What you’ll bring Have used Linux build toolchains such as autotools, make, CMake, and Nix. Have built container images and used container build tooling in production. Have worked with Debian- and Red Hat Enterprise Linux-based systems to build .deb and .rpm packages and package cloud native applications. Have used continuous integration systems, including GitLab's continuous integration feature, GitHub Actions, Jenkins, or Travis CI. Have written and maintained complex shell scripts in production environments. Have communicated in written and spoken English in a remote, largely asynchronous work environment. Have worked with major cloud providers such as Google Cloud Platform, Amazon Web Services, or Microsoft Azure. Additional experience with Ruby, Go, Python, or Rust, or observability tools such as Prometheus and Grafana, would be helpful. About the team We produce system packages, container images, related components such as marketplace listings, and the tooling that creates and maintains them. We bridge development teams and end users by providing tooling and expertise that enable efficient component building and deliver simple, secure, dependable installation experiences. We also review a large number of merge requests from outside our team, including dependency and security updates for bundled components such as PostgreSQL, Consul, and Patroni. 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 .

Задачи: — тестирование ETL / data pipelines — валидация данных по цепочке source → warehouse → semantic model — проверка aggregations, measures и business rules — тестирование BI / analytical solutions — regression testing Требования: — 3–5+ лет в QA, желательно Data / BI — сильные знания SQL — опыт тестирования ETL / data pipelines — понимание dimensional data models — опыт работы с Jira / Azure DevOps — будет плюсом опыт с SSAS Tabular / Power BI DAX — опыт автоматизированного тестирования данных на Python — опыт работы с Azure / Microsoft Fabric — опыт в страховой или финансовой сфере Условия: — работа в офисе в Омане с обязательной релокацией — зарплата $4,500–5,500 в месяц Ищем по профилям Data QA Engineer / ETL QA Engineer / BI QA Engineer / Data Test Engineer / Power BI QA.

Location: Milan, Italy; Biassono, Italy Workplace: Hybrid Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. 🚀 THE ADVENTURE AHEAD As our Data Engineer I, you will build and fine-tune the robust cloud data pipelines that power our analytics, data science, and product teams. You’ll tackle real-world architecture challenges, collaborate with world-class engineers, and directly shape how intelligent learning experiences reach millions of users worldwide. We are seeking engineers who bring deep analytical rigor to data modeling and relentless dedication to data quality.   🛠️ THE DAY-TO-DAY - Engineer the Flow: Implement high-performance ELT/ETL transformations using tools like dbt based on innovative specs from senior engineers and architects. - Orchestrate Data Jobs: Build, deploy, and maintain seamless data ingestion and transformation jobs powered by Airflow and Cloud Composer. - Guard Data Quality: Write and execute vital data tests—including row counts, null checks, and reference validations—to keep our datasets clean and trusted. - Monitor & Resolve: Proactively investigate automated alerts, ensuring peak system performance and escalating deeper architectural changes when needed. - Shape Lakehouse Architecture: Maintain pristine schemas and naming conventions across Snowflake, BigQuery, or Databricks while implementing table and view enhancements. - Document & Empower: Create clear documentation for pipelines, schemas, and caveats so the entire engineering team can safely build on your foundation. - Partner & Collaborate: Work closely alongside Analytics and Data Science teams to deeply understand their query needs and deliver optimized data structures. ⚡ YOUR SUPERPOWERS - Solid Academic & Technical Foundation: Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field (or equivalent practical experience). - Early Career Momentum: 2-3 years of hands-on experience in data engineering, BI engineering, or equivalent project-driven environments. - SQL Mastery: Exceptional ability to write clean SQL (joins, filters, aggregations) and query across cloud data platforms like Snowflake, BigQuery, or Databricks. - ETL/ELT Aptitude: Strong foundational understanding of data transformation concepts and comfort navigating tools like dbt and Airflow under guided supervision. - Code & Version Control Literacy: Familiarity with Python (or similar languages) and Git-based collaborative workflows to ship clean code efficiently. OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing.   OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul.   OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Fuel for Your Day: Receive a meal voucher for every working day, so you can focus on doing your best work while enjoying a meal that keeps you energized. - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long.

Location: Toronto, Ontario Workplace: Hybrid Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. 🚀 THE ADVENTURE AHEAD As our Data Engineer I, you will build and fine-tune the robust cloud data pipelines that power our analytics, data science, and product teams. You’ll tackle real-world architecture challenges, collaborate with world-class engineers, and directly shape how intelligent learning experiences reach millions of users worldwide. We are seeking engineers who bring deep analytical rigor to data modeling and relentless dedication to data quality. 🛠️ THE DAY-TO-DAY - Engineer the Flow: Implement high-performance ELT/ETL transformations using tools like dbt based on innovative specs from senior engineers and architects. - Orchestrate Data Jobs: Build, deploy, and maintain seamless data ingestion and transformation jobs powered by Airflow and Cloud Composer. - Guard Data Quality: Write and execute vital data tests—including row counts, null checks, and reference validations—to keep our datasets clean and trusted. - Monitor & Resolve: Proactively investigate automated alerts, ensuring peak system performance and escalating deeper architectural changes when needed. - Shape Lakehouse Architecture: Maintain pristine schemas and naming conventions across Snowflake, BigQuery, or Databricks while implementing table and view enhancements. - Document & Empower: Create clear documentation for pipelines, schemas, and caveats so the entire engineering team can safely build on your foundation. - Partner & Collaborate: Work closely alongside Analytics and Data Science teams to deeply understand their query needs and deliver optimized data structures. ⚡ YOUR SUPERPOWERS - Solid Academic & Technical Foundation: Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field (or equivalent practical experience). - Early Career Momentum: 2-3 years of hands-on experience in data engineering, BI engineering, or equivalent project-driven environments. - SQL Mastery: Exceptional ability to write clean SQL (joins, filters, aggregations) and query across cloud data platforms like Snowflake, BigQuery, or Databricks. - ETL/ELT Aptitude: Strong foundational understanding of data transformation concepts and comfort navigating tools like dbt and Airflow under guided supervision. - Code & Version Control Literacy: Familiarity with Python (or similar languages) and Git-based collaborative workflows to ship clean code efficiently. OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing. OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul. OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long. ABOUT DOCEBO 💙 At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world. Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities. Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.

Задачи: — Разрабатывать и поддерживать автотесты для ядра и бизнес-модулей платформы In.Plan — Автоматизировать backend, UI и интеграционные тесты — Интегрировать и поддерживать запуск автотестов в CI/CD — Участвовать в развитии и совершенствовании процессов TestOps Требования: — От 3 лет опыта в автоматизации тестирования — Уверенное владение Java (также рассматривается Python / TypeScript) — Опыт разработки и поддержки фреймворков автоматизации — Практический опыт работы в продуктовых командах — Опыт с GitLab CI/CD, настройка и автоматизация запуска тестов в пайплайнах — Знание REST Assured, Retrofit, Postman / Insomnia — Опыт работы с Selenium, Selenide, Playwright — Опыт с JUnit / TestNG / Pytest — Понимание и применение Page Object / Page Factory — Работа с Allure и системами тестовой отчётности — Базовые навыки SQL / PostgreSQL — Опыт работы с Git, GitFlow, проведение MR и code review автотестов — Опыт внедрения и развития процессов TestOps Будет плюсом: — Высшее техническое образование и/или сертификаты ISTQB, ISTQB Test Automation Engineer — Опыт настройки инфраструктуры для автоматизации тестирования — Тестирование Kafka и асинхронных интеграций — Опыт работы с ClickHouse — Docker и контейнеризация автотестов — Интеграция с TMS и настройка уведомлений Условия: — До конца года с возможностью продления — Полная занятость — Удалённо — График МСК ± 2 часа

Location: Kitchener, Waterloo Workplace: hybrid At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. Job title: Senior Software Engineer   What your day-to-day will look like: ·       Identify, prioritize and execute tasks in the software development life cycle ·       Work with business to iterate over software requirements ·       Develop tools and applications by producing clean, efficient code ·       Automate tasks through appropriate tools and scripting ·       Analyze and debug systems ·       Perform validation and verification testing in a test-driven manner ·       Review the work of others, and invite others to review your work ·       Collaborate with internal teams and vendors to fix and improve products ·       Ensure software is up-to-date with latest technologies   What qualifications we’re looking for: ·       Experience writing clean code that performs well at scale using Java ·       Experience with Spring Boot ·       In-depth knowledge of relational databases (e.g. Microsoft SQL Server, MySQL) ·       Solid experience writing RESTful API endpoints ·       Absolutely love TDD and have working knowledge of it ·       Proficient in GIT ·       Experience using system and performance monitoring tools (e.g. New Relic, DataDog) ·       Experience with automated testing frameworks (e.g. Selenium, Cypress, RestAssured) ·       Excellent organization, critical-thinking and personal leadership skills ·       Self-starter with the ability to deliver with minimal supervision ·       Being okay with the uncomfortable feeling that comes from learning new things ·       Team player ·       Analytical mind with problem-solving aptitude ·       Proven experience as a great Engineer ·       BSc/BA in Computer Science or a related degree   Generative AI Code Assistants - Use of Generative AI Code Assistants (e.g. Github Copilot) and knowledge of latest Generative AI Model capabilities would be an asset   Bonus points for: ·       Experience with UI development and frameworks (e.g. Vue.js, React, Angular) ·       Nice to have React, Selenium automation and cloud experience ·       Experience with Docker, Kubernetes and Istio ·       Experience with Ansible ·       Experience with Jenkins CI/CD pipeline ·       Linux and IP networking knowledge ·       Experience with AWS/Azure cloud services or equivalent ·       Experience with SAML, OAuth and OpenID Connect ·       Experience working on a SaaS product ·       Experience with Service Oriented Architecture  ·       Knowledge of scripting languages such as Python, Bash or Groovy ·       On-call experience with production grade systems ·       Has mentored others in a professional setting   #LI-AJ1 #LI-Hybrid PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $142,000-158,000 (not overtime eligible) + bonus + benefits. Compensation is assessed individually and aligned to experience, skills, and market context. The posted range reflects typical expectations for this role.

Обязанности: — анализ требований и поиск несоответствий — тест-дизайн и подготовка документации Требования к кандидату: — опыт тестирования от 1 года — функциональное, интеграционное, дымовое и регрессионное тестирование — UI/UX, API (Postman, Swagger, REST Assured) — клиент-серверная архитектура, HTTP — SQL (написание запросов) — Jira, Confluence, Redmine — Git, GitHub, GitLab — SDLC, Agile, Scrum, Waterfall — Windows, Linux, браузеры, клиентские приложения — грамотный русский (письменно и устно) — Python, Java или JavaScript (будет плюсом) — опыт автоматизации тестирования (будет плюсом) — нагрузочное тестирование и производительность (будет плюсом) — Docker (будет плюсом) — развитие процессов качества и тестовой инфраструктуры (будет плюсом) Условия: — ТК РФ — Обучение за счёт компании — Рост в автоматизацию

Компания Centicore ищет опытного инженера DevOps для работы над централизованной MLOps-инфраструктурой. Задачи: — Конфигурировать и разворачивать инфраструктурные компоненты — Адаптировать и разрабатывать с нуля автоматизированные пайплайны под актуальные бизнес-задачи (AutoML, LLM, computer vision и пр.) — Создавать и поддерживать пользовательские инструменты для работы в едином ML-контуре применения и обучения — Масштабировать разрабатываемые системы и инструменты для управления жизненным циклом моделей машинного обучения Требования: — Опыт DevOps от 5 лет с инструментами docker, helm, jenkins/gitlab CI, python — Желателен опыт ML/MLOps от 1 года с airflow, jupyterhub, mlflow, seldon, cuda — Опыт администрирования Kubernetes от 2 лет — Опыт работы с Hadoop, Spark, Kafka, ELK Условия: — Удаленный формат работы в IT аккредитованной компании — Оформление по ТК — Оплачиваемый отпуск 28 календарных дней в год и оплачиваемые больничные — Предоставление техники (MAC, Windows) — ДМС со стоматологией — Компенсация хобби/спортзала/английского языка — Компенсация профессионального обучения — Возможность участия во внутренних программах компании и активностях — Онлайн и оффлайн корпоративные мероприятия — Программа лояльности Сентибонусы

Задачи: — Функциональное и системное сопровождение банковского программного обеспечения — Сопровождение и развитие инфраструктуры банковского программного обеспечения — Обеспечение доступности автоматизированных банковских процессов — Осуществление технической поддержки пользователей и клиентов — Накопление и передача технической экспертизы по архитектуре ИТ системы, а также по бизнес-процессам — Развитие программно-инфраструктурного ландшафта банка — Реализация пилотных проектов бизнеса Требования к кандидату: — Управление серверами на базе Linux на уровне администратора — Знание микросервисной архитектуры и технологий контейнеризации: Docker, containerd — Продвинутые навыки работы с Kubernetes, Helm, Kafka — Понимание принципов построения процессов CI/CD — Понимание принципов IaC. Продвинутые навыки работы с Ansible, Terraform, Terragrunt — Понимание принципов построения Observability. Продвинутые навыки работы с ELK/EFK, OpenSearch, Prometheus, VictoriaMetrics — Опыт работы с облачными провайдерами, например, AWS, Yandex Cloud — Знание СУБД на уровне администратора: Redis, MongoDB — Навыки программирования, например, на Python, GO, Java, JavaScript — Kubernetes (не managed), Postgres/Patroni, Redis, Ansible, VictoriaMetrics/Prometheus, ELK/OpenSearch — Образование высшее, профильное техническое — Опыт работы от 3х лет Условия работы: — Оформление по ТК РФ или ИП в аккредитованную ИТ компанию — ДМС со стоматологией — Скидки на изучение иностранных языков от Skyeng — Скидки на фитнес от Xfit — Скидки на кино от КАРО — Техника для работы

Location: New York City, NY; San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for software engineers to help build safety and oversight mechanisms for our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building distributed and scalable systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies. Responsibilities: Independently scope and lead complex, multi-month infrastructure projects, from an ambiguous starting point through to a production system Develop monitoring systems to detect unwanted behaviors from our API partners and potentially take automated enforcement actions; surface these in internal dashboards to analysts for manual review Stand up and run deployments of those monitoring systems across multiple clouds, including inside cloud-provider partner environments where data residency laws apply. Keep the deployments consistent through shared deployment pipelines, smoke tests, observability, and alerting Design and harden the sandboxed runtime that AI agents execute in: isolation, network egress controls, least-privilege data access, audit logging, and insider-risk controls Manage cost and capacity for large volumes of long-running agent work, and set and meet service-level objectives for the platform Partner with the engineers and researchers who write and evaluate the monitoring agents, and with security, privacy, and legal teams, so new detection work can ship quickly on a platform everyone trusts You may be a good fit if you: Bachelor’s degree in Computer Science, Software Engineering or comparable experience Proficiency in Python, Distributed Systems, and Infrastructure as Code Have worked across multiple cloud providers, or built infrastructure designed to be provider-agnostic Have built and operated large-scale, distributed infrastructure, such as data platforms, control planes, or job schedulers Have experience with sandboxing and isolation technologies (containers, microVMs, network policy) or with a systems language such as Rust Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also: 8+ years of experience in a software engineering position, not including internships Have built systems that handle sensitive or regulated data, with requirements around access control, auditability, retention, and data residency Have experience running LLM-based agents in production Have experience with integrity, spam, fraud, or abuse detection and mitigation Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Требования: — Опыт Security Code Review — Знание основных уязвимостей Java/Kotlin/.NET и умение находить их в коде — Знание логических уязвимостей, где они могут возникать и опыт их нахождения в коде и диаграммах последовательности — Опыт работы с SemGrep, Solar AppScreener — Опыт написания правил и их оптимизации — Опыт написания правил для GitLeaks — Опыт оптимизации сканирования AppScreener — Знание основных уязвимостей веб и мобильных приложений, умение оценить их критичность — Опыт триажа уязвимостей — Опыт разработки отчетов и рекомендаций по результатам анализа безопасности — Опыт проведения анализа защищенности веб и мобильных приложений — Опыт моделирования угроз и проведения ревью безопасности нового функционала приложений — Умение применять паттерны ООП на Python и написание скриптов инструментов с применением паттернов ООП — Знание английского языка на уровне чтения технической литературы — Готовность самостоятельно разбираться в чужом коде (скриптах) — Ведение базы знаний и технической документации — Работа в Agile/SCRUM командах — Опыт работы с GIT — Знание и опыт работы с CI|CD на базе GitLab Описание проекта: Телеком

Location: Limassol, Cyprus Workplace: on-site Mayflower is a technology company building large-scale entertainment products for a global audience. Our platforms serve millions of users worldwide and rank among the top-50 most visited websites globally. For more than 10 years, we've been creating reliable, high-performance solutions at the intersection of product, engineering, and entertainment. Responsibilities Design, develop and maintain data pipelines (python, SQL, Airflow, dbt, k8s, Spark) Support data platform in terms of data integrations, data quality, technical implementation Conduct new data integrations Ensure data quality Documenting your solutions Provide support to analytic teams Important/challenging tasks: Develop a centralized Data Store. Design and build resilient data transformation pipelines across multiple business domains. Develop tools and frameworks for data transformation. You’ll thrive here if you have At least 3 years working as a data engineer Python programming (outside of Airflow) Working with docker SQL advanced Kafka, Airflow, Spark dbt as a plus Column store DBs (clickhouse as a plus) S3/iceberg as a plus Understanding how web applications work Qualification that can be a plus: Working with k8s (as a plus) Experience with data-mesh approach Conditions We know that great talent deserves great conditions, so here's what you can expect when joining us: EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family. EU passport. Opportunity to obtain an EU passport after 4 years of residence Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free. Provident fund (Cypus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. Private medical insurance for you and your family Corporate mobile plan (unlimited in Cyprus with roaming included) Mindfulness & well-being support, including psychological assistance with 50% coverage. 50% coverage of school and kindergarten fees for your children. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals Professional growth support: language courses, conferences, training programs, and coaching. Peer recognition program: receive and share kudos for great work. A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration. Free breakfasts and lunches in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. A strong engineering culture: international teams, corporate events, team buildings, and hackathons — because great work happens in great communities.

Задачи: — Участвовать в проектировании и реализации высокопроизводительных, масштабируемых и оптимизированных дата-решений. — Создавать модели данных с нуля, используя сильные навыки SQL. — Писать и оптимизировать SQL-запросы внутри приложений. — Обеспечивать производительность, безопасность и доступность баз данных. — Готовить документацию и технические спецификации. — Выполнять процедуры с базами данных: обновления, резервное копирование, восстановление и миграция. — Профилировать использование ресурсов сервера и оптимизировать конфигурации. — Проектировать, строить и автоматизировать развертывание дата-пайплайнов и приложений. — Интегрировать данные из локальных баз и внешних источников через REST API и инструменты сбора данных. — Сотрудничать с бизнес-подразделениями и командами дата-сайенс по вопросам доступа, трансформации, обработки и отчетности данных. — Поддерживать внедрение, технические вопросы и обучение, связанные с экосистемой data lake. — Управлять AWS-ресурсами, включая кластеры EMR и ECS. — Поддерживать обеспечение, мониторинг, конфигурацию и обслуживание AWS-инструментов. — Оценивать и внедрять новые облачные технологии для улучшения возможностей и снижения затрат. — Поддерживать автоматизацию с использованием Infrastructure as Code (Terraform) и CI/CD (Jenkins). — Реализовывать управление данными, контроль доступа и снижение рисков безопасности. Требования: — 7-9 лет опыта проектирования и разработки облачных моделей данных, ETL-пайплайнов и инфраструктуры. — Опыт работы с структурированными и неструктурированными данными. — Отличное владение SQL для популярных баз данных. — Опыт оптимизации больших и сложных SQL-запросов. — Знание лучших практик реляционных баз данных. — Опыт настройки движков баз данных и оркестрации кластеров. — Умение планировать ресурсы по высоким спецификациям. — Навыки устранения типичных проблем с базами данных. — Опыт работы со Spark, Glue, EMR, Apache Kafka или AWS Kinesis. — Опыт с системами контроля версий Git или Subversion. — Опыт использования автоматизированных систем сборки и CI/CD. — Программирование на Java, Python и Scala. — Знание структур данных и алгоритмов. — Знание реляционных, NoSQL, графовых, документных, key-value и временных баз данных. — Знание масштабируемого проектирования и управления моделями данных. — Знание деплоя ML-моделей. — Знание AWS cloud платформ. — Знание TDD и BDD. — Сильный интерес к улучшению навыков разработки ПО, фреймворков и технологий. Условия: — Возможность работать с моделированием данных, сервисами данных и дата-сайенсом в рамках платформы Data Intelligence. — Работа в разнообразной технической среде: AWS, ETL-пайплайны, базы данных, поисковые технологии, рекомендательные системы. — Прямое взаимодействие с командами дата-сайенс и внутренними заинтересованными сторонами по вопросам отчетности, трансформации и возможностей платформы.

Задачи: — Операционный мониторинг: слежение за распределением трафика и контроль платежных маршрутов, ежедневный мониторинг состояния балансов на платежных шлюзах, мониторинг платежной конверсии по разным маршрутам, выявление отклонений и мгновенное инициирование действий для их решения. — Управление роутингом и стратегией: анализ распределения трафика с учетом комиссий платежных систем, принятие решений по оптимальной стратегии и взаимодействие с техническими специалистами для перестройки роутинга. — Финансовый анализ и оптимизация: расчет финансовых условий и оценка P&L по разным платежным методам, работа с транзакционными данными, поиск точек роста для снижения расходов на процессинг, доработка логики и визуализации аналитических инструментов, предложение улучшений. — Ad-hoc аналитика: подготовка аналитических отчетов по запросу бизнеса, презентация результатов стейкхолдерам и контроль внедрения решений. Требования: — Уровень Middle/Middle+ в SQL, умение самостоятельно работать с данными, проверять качество и корректность расчетов. — Продвинутый уровень Excel. — Коммерческий опыт работы с BI инструментом Tableau. — Базовый уровень Python для исследовательского анализа данных и ETL-процессов. — Понимание финансовых операций (P&L, комиссии, балансы) и работы платежных систем. — Опыт работы в режиме многозадачности. — Умение самостоятельно вести поле работы, четкость и аккуратность. — Свободный русский язык. Условия: — Работа из офиса в Белграде (Сербия). — Полная занятость, full-time. — Гибкое начало рабочего дня с 08:00 до 10:00, работа по производственному календарю Кипра. — Официальное трудоустройство по ТК Сербии, компания помогает с оформлением. — Отпуск 20 рабочих дней + 4 дня off от компании. — Оплачиваемый 100% больничный. — Питание в офисе предоставляется. — Компенсация курсов изучения сербского языка. — Предоставляется вся необходимая техника для работы.