Вакансии

в задачи входит разработка и поддержка DAG’ов в Apache Airflow, настройка CDC‑процессов для передачи данных в аналитическое хранилище, создание и оптимизация витрин данных на SQL, реализация трансформаций на Apache Flink, контроль качества данных инструментами Data Quality и оптимизация их обработки.

-Проектировать и разрабатывать новые, а также поддерживать существующие data pipeline’и в облачной среде. -Заниматься тюнингом и оптимизацией производительности пайплайнов (написание эффективного кода, работа с "горячими" точками, распределенные вычисления).

Location: Москва ИТ B2C - самая крупная экосистема в Сбере. Нас более 8000 человек в 18 городах России. Мы занимаемся разработкой и развитием розничных решений, помогая сделать сервисы Банка доступнее, безопаснее и удобнее. Мы, команда офиса CDO B2C, строим платформу данных, которая обеспечивает быстрый, надежный и качественный обмен информацией между Сбером и компаниями-партнерами. Это основа для персонализированных предложений умных продуктов и эффективных бизнес-решений. Наша команда - Команда развития Платформы в офисе CDO B2C ищет DE-инженера для реализации задач по загрузке, аналитике и трансформации данных. Обязанности проектировать и реализовывать ETL/ELT-пайплайны для загрузки и обработки данных (включая DAG в Apache Airflow) оптимизировать и сопровождать процессы обработки больших данных (Apache Spark, Apache Flink) интегрировать источники данных (базы данных, API, файловые хранилища) в единую pipeline-архитектуру настраивать и администрировать Airflow для оркестрации workflows участвовать в разработке архитектуры хранения и обработки данных (включая Hadoop-экосистему) документировать решения и формировать базы знаний. Требования наличие высшего образования опыт разработки ETL/ELT-процессов (реализация, оптимизация, мониторинг) профильное владение Python (включая библиотеки для работы с данными) практический опыт с распределенными вычислениями: Apache Spark (PySpark/Scala) или Apache Flink глубокое понимание SQL и опыт работы с РСУБД (PostgreSQL, MySQL и др.) знание Apache Airflow (создание DAG, настройка сенсоров, операторов) навыки администрирования Linux (развертывание, мониторинг, troubleshooting) **Будет преимуществом:** базовые знания Scala (или готовность к изучению) опыт с Hadoop (HDFS, YARN, Hive) знание облачных платформ (AWS S3/Glue, GCP BigQuery, Azure Data Factory) навыки автоматизации (Ansible, Terraform) опыт работы с стриминговыми данными (Kafka, Debezium). * Условия гибридный формат ежегодный пересмотр зарплаты и годовая премия расширенный ДМС и льготное страхование для семьи уникальная система обучения Сбера для профессионального и карьерного развития выгодная ипотека для сотрудников подписка Прайм с возможностью совместного использования на трёх близких вознаграждение за рекомендацию друзей в команду Сбера корпоративная пенсионная программа.

Location: San Francisco, California WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: Notion's mission is to make toolmaking ubiquitous—from wikis and documents to notes, tasks, and databases. Strong product intuition and user focus have driven adoption across organizations of all sizes. Millions of users now rely on Notion's building blocks to get work done. As Notion scales, there's a unique opportunity to build the data foundations that help our product and company reach their full potential. You'll design and build reliable, trusted datasets that accelerate decision-making across product and business functions, directly impacting our roadmap and growth. This role is based in our San Francisco Headquarters. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Define ETL processes and infrastructure to make data readily available across the company - Build core datasets as single sources of truth for product and business teams (product, marketing, sales, finance, customer experience, data science, operations, IT, engineering) - Partner with data scientists and stakeholders to understand their needs and design, build, and monitor pipelines that scale with our growing data - Implement automated workflows that reduce operational costs, define SLAs for timely data delivery, and democratize data through self-serve dashboards, discovery tools, and AI-enabled exploration SKILLS YOU'LL NEED TO BRING: - Self-starter who gathers high-impact needs from business partners, designs technical solutions, and communicates clearly about deliverables, timelines, and tradeoffs - 5+ years of experience as a data engineer building core datasets and supporting business functions, with a passion for analytics, data modeling, and solving complex problems - Strong understanding of scalable cloud data solutions (AWS, GCP, Azure) across multiple data stores (Snowflake, Redshift, Hive, SQL/NoSQL, columnar formats) and methodologies (dimensional modeling, data marts, schemas) - SQL expert, proficient with aggregation, window functions, UDFs, self-joins, and optimization techniques for writing correct, high-performance queries - Highly comfortable with object-oriented programming (Python, Java, Scala) - Expert at using AI and agent-based tools to accelerate data development for yourself and others, including defining guardrails, workflows, and context for safe, production-scale data work NICE TO HAVES: - Experience at a fast-scaling or SaaS company, with enthusiasm to contribute in such an environment (current Notion users especially welcome) - Hands-on experience designing and building highly scalable, reliable data pipelines using BigData stack tools (e.g., Airflow, DBT, Spark, Hive, Parquet/ORC, Protobuf/Thrift) Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Notion. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation made due to a disability, please let your recruiter know. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $179,000 - $200,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Задачи: — Повышать эффективность пайплайнов для расчёта daily‑признаков на базе batch‑процессинга. — Создавать пайплайн для realtime‑признаков на основе Kafka‑топиков. — Проектировать и разрабатывать сервисы для обработки миллиардов пользовательских событий. — Решать инженерные задачи по расчёту метрик и построению витрин. — Работать с потоками данных и интеграциями между CDP и другими системами 2ГИС. — Участвовать в формировании архитектурных решений. — Взаимодействовать с аналитиками, продактами и инженерами. Требования: — Опыт работы с highload‑системами. — Опыт проектирования архитектуры данных или платформенного кода. — Опыт работы с Kafka, ClickHouse либо аналогичными системами потоковой и аналитической обработки данных. — Уверенное понимание и умение применять Spark. — Владение одним из языков программирования (например, Python или Scala). — Самостоятельность и проактивность в поиске решений. — Ориентация на создание продукта с учётом бизнес‑логики. — Плюсом будет опыт работы с Airflow. — Навыки анализа данных на SQL. — Знание инструментов контроля качества данных (Data Quality, Data Contracts). — Опыт построения Data Lineage и работы с Data Catalog. — Понимание подходов к персонализации, сегментации или real‑time‑аналитике. — Понимание работы S3‑хранилища.

Location: Montevideo, Uruguay; Remote.AR, Remote.LATAM-country; Remote.CO, Colombia; Rosario, Remote.LATAM-country We are looking for a Machine Learning Engineer with a strong software engineering background to help design and build the corporate analytics platform. In this role, you will contribute both technically and consultatively by identifying limitations, gathering needs and shaping scalable and reliable data and AI solutions. You will contribute to an Analytics Platform that helps turn data and AI assets into business value at scale. The platform is built for large scale digital analytics workloads and includes capabilities comparable to enterprise analytics solutions, with a strong software engineering approach applied to data engineering. Design, build, maintain and operate the corporate digital-analytics data platform. Architect scalable, resilient, high-performance solutions for high-volume, high-transaction data. Develop and maintain ingestion, transformation and load pipelines (batch and streaming). Apply solid data modeling and SQL transformations; manage partitioning for performance and cost. Implement data governance, cataloging, lineage and access controls (security and compliance). Define and follow CI/CD standards for data and AI; apply software-engineering best practices. Operate consultative identify platform limitations, gather requirements and propose solutions. Proven experience in data platform roles, with a strong software-engineering foundation. Solid software design and architecture skills (not only pipeline authoring). Experience with high-volume / high-transaction data platforms. SQL plus a programming language (Python, Java or Scala); Pandas for data processing. Pipeline orchestration (DAGs, Dataform) and data modeling. GCP data stack: BigQuery (partitioning), lakehouse/warehouse, storage, streaming. Google Analytics / GA4 and clickstream data (GA4 → BigQuery export). Data governance, cataloging and cost/performance optimization. Cloud architecture, CI/CD, infrastructure-as-code and containers. MLOps on Vertex AI: model deployment, serving, monitoring and versioning; feature stores and model registries. Ability to operate consultative with technical and business stakeholders; Agile experience. Fluency in Spanish (team language). Experience with LangChain Experience with Agents Experience with Vector DBs

Анализировать данные по клиентам и запускаемым кампаниям. Проводить ресерч новых источников данных для улучшения качества системы управления знаниями.

Location: Warsaw, Poland WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! WHY BOX NEEDS YOU? Metadata is a key component of the Box Intelligent Cloud, enabling customers to add additional context to their files and transforming them into actionable content. In the current iteration, it's used to organize, discover, annotate, secure, and retain content. Metadata Platform adoption continues to grow exponentially as more Box products, like Shield, Relay, Forms, Sign, Governance, etc, rely on it internally and as our customers continue to build custom applications leveraging it. But, we've only scratched the surface of what's possible. That's where you come in! As we embark on the mission to deliver a next-generation Metadata Platform, we're looking for a Senior Software Engineer to join us and play a pivotal role. You'll have the opportunity to work with a team of talented, collaborative, and fun engineers, solving some of the toughest challenges, as we build out the future of intelligent content management in the cloud. The work you do will have an immediate and lasting impact on the productivity of millions of users, at some of the most important enterprises of our time. WHAT YOU'LL DO Lead design and implementation efforts for new components of our platform, from the ground up. Design and implement scalable services with a focus on reliability, observability, operability and efficiency. Collaborate with partner teams and domain architects on system design and services integration. Work with cutting-edge technologies like Kubernetes, Docker, BigTable, and Istio. Be heavily involved in setting the platform vision and defining feature roadmaps. Mentor other engineers and contribute to team growth and development. Strengthen engineering processes, principles, and culture within the team and across Box, by championing a culture of learning, continuous improvement, and blameless retrospection. We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box. WHO YOU ARE You have 5+ years of professional software development experience. You have extensive experience deploying and operating microservices in a cloud environment. Good understanding of scalability and observability practices. Proficient in Java, familiarity with other scripting languages like Python, Scala or PHP is a plus. Skilled in designing and developing APIs. Proficient with NoSQL databases such as MongoDB. You have experience working with message queues and/or streaming data systems like Kafka/PubSub. Experience deploying and operating microservices on Kubernetes. You are the technical expert and provide guidance to your team on best practices, coding standards, and complex technical issues. You have experience in mentoring and coaching engineers and provide technical feedback. Proficiency in spoken and written English. BONUS POINTS FOR Experience with Google Cloud Platform (GCP), Amazon Web Service (AWS) or Azure. METHODOLOGY Agile management - Scrum Issue tracking tool - Jira Knowledge repository - Confluence Code reviews - GitHub Enterprise Version control system - GIT Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week, with a focus on Tuesdays, Wednesdays, and Thursdays . Your Recruiter will share more about how we work and company culture during the hiring process. EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience. For details on how we protect your information when you apply, please see our Personnel Privacy Notice . For more details on how Box Poland protects your information, please see our Supplemental Personnel and Candidate Privacy Notice . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . #LI-EMEA #LI -AK1 #LI-hybrid

Location: Москва Разработки и поддержки витрин данных в Hadoop (HDFS, Iceberg, Hive), ETL - Spark, CTL - Oozie, CI/CD - Jenkins + BitBucket Обязанности • разработка DWH/DataLake/LakeHouse • построение поставки данных в Batch • оптимизация sparkовых джоб • разработка и валидация архитектуры данных Требования • отличное знание SQL (join, CTE, оконные функции, фреймы и др.) • опыт работы с Hadoop, Spark, Iceberg • опыт работы с оркестраторами (например, Airflow) и CI/CD • практическое знание Python (можно Scala) на уровне разработки ETL • практический опыт разработки промышленных ETL потоков Условия * офисный формат работы (Кутузовская) * годовой бонус и ежегодный пересмотр зарплаты * расширенный ДМС с первого дня и льготное страхование для семьи * корпоративный университет Сбера, внутренняя образовательная платформа, участие в IT-конференциях * льготная ипотека в Сбере, корпоративная пенсионная программа, подписка СберПрайм, скидки от партнеров и сервисов группы компаний

Location: Lisbon, Portugal Joom is a global cross-border marketplace where millions can find anything they want at fair prices. Joom helps consumers to make shopping easy and entertaining and provides access to interesting and unique goods from around the world. Joom is one of the key businesses of Joom Group, an international group of tech-centric group of e-commerce companies founded in 2016 in Latvia. Joom also includes other businesses: JoomPro, the first and only end-to-end cross-border B2B marketplace; JoomPulse, an AI analytics tool for Mercado Livre sellers; and Onfy, a pharmaceutical marketplace in Germany. Joom Group has offices in Latvia, China, Germany, and Brazil, with its headquarters in Lisbon, Portugal. We work as one international team, sharing knowledge and collaborating across countries, businesses and products. We are looking for Lead/Senior ML developers to join our teams: Search team (Lead): will work on improving the core search algorithms, enhancing the system's understanding of user queries and the relevance of products shown in response to searches; developing new functionality to improve the user experience Order Experience team (Senior): developing AI/ML support: specifically, answering user questions using the full context of their orders, profile, transactions, and actions within the service, along with automating refunds Tech stack: Go, Python, Scala, Spark, modern LLMs, PyTorch, Docker, Kubernetes, Airflow, MongoDB, Cassandra, Kafka, Jenkins Requirements Strong algorithmic skills: knowledge of fundamental algorithms and data structures, as well as their implementation in standard libraries Proficiency in any language: experience in developing and debugging distributed, high-load applications, and writing testable code Industry experience in Machine Learning: familiarity with key modeling and training approaches (linear models, GBDT, DNN, etc.), knowledge of statistics, and end-to-end ML development experience, including raw data analysis, hypothesis formulation, model creation, experimentation, and deploying results into production Preferred Experience in developing recommendation or search systems Experience training neural network models Experience working with various data sources: Spark, Cassandra, Mongo, Kafka Knowledge of Go We offer Compensation package: base salary and performance-based bonuses Office-first: flexible hours with a possibility to work remotely 52 days per year Care & Wellbeing: health insurance (including dental care) for employees and their children, daily meal allowance, and 100% paid sick leave Relocation Support: full assistance for a smooth relocation for the employees and their family AI-first approach: licenses and access to a wide range of AI tools Team & Growth: collaboration with colleagues across Portugal, Brazil, Latvia and China, with opportunities for promotions, professional trainings, and English & Portuguese courses Community & Engagement: annual team building activities, knowledge-sharing workshops, and a strong sense of team work Before applying for the above position please review our Candidate Privacy Notice here . By responding to the vacancy, you acknowledge that you have read our Privacy notice.

Тебе предстоит Повысить эффективность пайплайнов для расчета с daily-признаков на основе batch процессинга. Создать эффективный пайплайн для расчёта realtime-признаков на основе Kafka‑топиков.

You’ll design and implement scalable, efficient, and reliable data architectures that support business and analytical needs. You’ll build and maintain data pipelines, ETL processes, and integration solutions for large volumes of structured and unstructured data.

In this Role, you'll get to: Be hands on - its one of the job’s fundamental task, and most of our development managers are writing and reviewing code, giving expert level coaching and guidance to their engineers. It's important to have a love of engineering and a passion for building things elegantly and at scale.

Location: Redwood City, CA WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHY BOX NEEDS YOU Box Shield is an add-on security layer that protects the flow of information and reduces content-centric risk without adding friction. It uses classification-based controls to prevent data loss and AI-powered, context-aware alerts to detect malware, compromised accounts, and malicious behavior at scale. Shield’s mission is to secure enterprise content while delivering a seamless user experience, ensuring Box remains the platform of choice for secure Intelligent Content Management. Shield keeps customer content safe by surfacing malware, compromised accounts, and anomalous behavior early, giving administrators the context they need to take proactive action before incidents escalate. The Shield team is hiring Machine Learning engineers to build and scale ML systems that safeguard millions of users and billions of files from ransomware, data exfiltration, insider threats, and emerging AI-based attacks. As part of a fast-paced backend/core team, you’ll collaborate across Box to ship future-proof security capabilities for high-demand use cases. WHAT YOU'LL DO Build Threat Detection Models: Design, train, and deploy ML models for ransomware detection, suspicious session identification, and user behavior analytics Scale Data Pipelines: Own end-to-end ML pipelines that process high-volume security event streams using Apache Spark, GCP Dataflow, and Vertex AI Feature Engineering: Create and maintain feature stores that power real-time and batch anomaly detection systems Production ML Systems: Deploy, monitor, and iterate on ML models in production, serving enterprise customers at scale Cross-functional Collaboration: Partner with Platform, Application Engineering, and Product teams to translate security requirements into ML solutions Participate in our on-call rotation, available at all times while on-call to help respond to and triage any issues that arise. WHO YOU ARE We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box. Must Have Experience 3+ years of experience in applied machine learning Strong programming skills in Python Deployed and maintained ML models serving real traffic Experience with GCP (Vertex AI, BigQuery, Dataflow) or equivalent (AWS SageMaker, Azure ML) Deep understanding of feature engineering, model evaluation, and MLOps Strong communication skills with ability to explain complex ML concepts to non-technical stakeholders Nice To Have Experience Experience in security/threat detection, anomaly detection, or fraud detection Experience with sequential data, anomaly detection, or behavioral modeling (time-series forecasting, LSTM, Transformers, or similar) Knowledge of LLMs and AI safety (prompt injection, guardrails, red-teaming) Experience with streaming/real-time ML systems Familiarity with Java for service integrations Publications or contributions in ML security Tech Stack You’ll Work With Languages: Python, Scala, Java ML/Data: Apache Spark, Vertex AI, BigQuery, TensorFlow/PyTorch Infrastructure: GCP, Kubernetes Domains: User Behavior Analytics, Time-Series Anomaly Detection, AI Security, Content classification, Ransomware Detection Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week.Your Recruiter will share more about how we work and company culture during the hiring process. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience. Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form . Reasonable accommodations may include scheduling adjustments, document dictation and beyond. Notice to applicants in Los Angeles:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information , check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . Redwood City Pay Range $175,500 — $219,500 USD

Location: Yerevan, Armenia; Vienna, Austria; Brussels, Belgium; Sofia, Bulgaria; Zagreb, Croatia; Praha 114, Czechia; Paris, France; Nicosia, Cyprus; Tallinn, Estonia; Tbilisi, Georgia; Berlin, Germany; Athens, Greece; Budapest, Hungary; Rome, Italy; Dublin, Ireland; Riga, Latvia; Valletta, Malta; Vilnius, Lithuania; Podgorica, Montenegro; Oslo, Norway; Amsterdam, Netherlands; Chișinău, Moldova; Warsaw, Poland; Lisbon, Portugal; Bucharest, Romania; Bratislava, Slovakia; Madrid, Spain; Ljubljana, Slovenia; Ankara, Türkiye; Kyiv, Ukraine; London, United Kingdom Workplace: fully About Replika In 2017, no one knew what AI was supposed to be. We built the world's first consumer AI app. Two million people showed up in two months. Today it's over 40 million, and the thing they keep telling us hasn't changed: it helped. It made their life better, steadier, a little less alone. Most AI is built for tasks, not for people. It gives you answers, but it doesn't care what you do with them. AI doesn't just need intelligence. It needs intention. Because the real question isn't just what AI can do. It's what AI is for. When the world's leading researchers wanted to understand whether AI could actually change someone's life, they studied Replika, because there was nothing else to study. What they found at Stanford, at Harvard, across years of research, was that Replika doesn't replace human connection. It deepens it. People become more social, more confident, more themselves. Not in theory. In their actual lives. Every major AI company talks about their mission for humanity. None of them has ever clearly said what they're trying to do for a single person. We will. We want to help you flourish in real life. Not become a better version of yourself, just more yourself. Strong relationships. Better health. Meaning. Momentum. A life that feels worth living while you're living it. We're building the kind of AI that follows up. That knows the people in your life and nudges you to reach out when it matters. That sends you a poem, just because. The goal is conversations that lead somewhere real. Maybe it's a text you send to a long lost friend. A hobby you pick up again. A moment you show up for yourself. Everyone else is building AI that thinks. We're building AI that cares. Senior Product Engineer, Mobile About this role We need a senior engineer who can build across the whole Replika product: iOS, Android and backend. Two engineers carry all of our app work today, and there's more to build than they can ship. New product features, and the monetization features that pay for them. This isn't a big company role. There's no org to slot into and no layer between you and the decision. You'll work directly with our CEO, product manager, designer and engineering lead in a tiny team, own features end to end, and turn ideas into product while the idea is still taking shape. You'll be expected to have an opinion, push back when a spec doesn't hold up, and then build it. Most of the time that means moving fast. When a problem deserves real thought, you slow down and think it through. Rough is fine early on. It's not fine as a final product. What You’ll Be Doing Own features end to end across iOS, Android and backend, from the idea to the thing users actually touch. Build the product features users notice, from avatars to new ways to spend time with their Replika. Build the monetization features in the apps, like paywalls, offers and pricing tests, with our growth team. Turn ambiguous ideas into something concrete without waiting for every question to be answered first. Push back on specs that don't hold up, and make the case for the version that does. Talk to people. Unblock people. Nobody here works in a silo. What We’re Looking For 5+ years of professional software engineering experience. You've built and shipped consumer mobile apps that reached real users. Native depth on one platform (Swift on iOS or Kotlin on Android), and features shipped on the other. You are not shy of backend development. API design is your bread and butter. You can ship the API your feature needs. A track record of driving complex features end to end, not just incremental improvements and refactors. You love coding and agentic engineering, and use every tool available to move faster. Design intuition and taste. You can tell when something feels wrong before anyone tells you. You shape what gets built and build it yourself. Fluent English. You can write a spec, or argue against one, without it needing a rewrite. Bonus Points You've been a founding engineer, or early enough somewhere that you built things from zero. Backend experience in Python (we use FastAPI) or any JVM Language (we use Scala). In-app purchases and subscriptions on the App Store and Google Play. Real-time features: chat, voice, animation. You've shipped consumer products where a lot of people felt the difference. You've run A/B tests and used product analytics to decide what ships. What You’ll Get Unlimited access to the latest AI coding assistants. Flexible job schedule and generous vacation policy. Direct impact on millions of worldwide users within months. Push the boundaries of applied AI in a consumer setting. Fully remote, able to work CET hours.

Location: Hyderabad, India Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Senior Software Engineer Location- Hyderabad, India Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day. From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo’s growth at scale. We’re looking for a Senior Software Engineer to join our Hyderabad (Hybrid - 3 days from the office) team. In this role, you’ll help us improve code structure and architecture while leading team project planning to maximise efficiency and reliability across our production systems. Get to know our Engineering team — what drives us, how we work, and what you can expect. What You’ll Be Doing Here’s what your day-to-day might look like: Drive Technical Excellence: Improve code structure and architecture across your team’s remit, performing high-impact code reviews to ensure quality and scalability. Lead Project Planning: Foresee dependencies and risks, partnering closely with Product and Design to ensure smooth delivery of complex features. Optimise Operations: Simplify the maintenance and operation of production systems, promoting visibility, health, and operational readiness. Collaborate & Influence: Build relationships across engineering teams to identify collaboration opportunities and influence the wider technical roadmap. Mentor & Hire: Support the personal growth of your colleagues through technical guidance and take an active role in conducting engineering interviews to scale our team. What You’ll Need to Thrive Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others: Strong Engineering Principles: Deep pride in writing readable, well-designed, and well-tested software. Backend Expertise: Significant experience building web-based applications (we use Go, Ruby/Rails, Python, Scala, and Rust). Data Proficiency: Practical experience with relational databases (PostgreSQL, MySQL) and "NoSQL" backends like Redis, DynamoDB, or ElasticSearch. Systems at Scale: Proven ability to manage web architecture at scale (handling 20krpm and above). Technical Leadership: Experience breaking down large pieces of work and guiding implementation choices for a team of engineers. Why Join Us? At Deliveroo, you’ll do work that matters—solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community organisers, proud parents, and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning. 💰 Share in the success you help create Competitive salary and equity options, so you’re rewarded for the impact you make. ➡️ Want a deeper look at how we build? Check out our Tech Blog . We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Explore our Engineering Interview Guide here to help you feel confident at each stage. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. WHAT YOU'LL DO You’ll join a full-stack data team building the systems making our AI agents measurably smarter with every interaction, building the real-time pipelines, analytics products, and deep personalization primitives that turn millions of conversations into business outcomes. You’ll work across these areas: - Data Foundations: Architect and build our core platform to handle data at scale with low latency. This includes our real-time eventing infrastructure, streaming and batch ETL pipelines, and our Iceberg-based data lakehouse. You will own the systems for interactive OLAP querying, orchestration, and experimentation, ensuring our data is trustworthy, fast, and easy to use for the entire organization. - Memory & Personalization: Power the next generation of intelligent experiences. You will develop the systems for long-term agent memory, build reusable Customer Data Platform (CDP) primitives, and implement the optimization loops that allow our agents to personalize interactions and demonstrably lift business outcomes. WHAT YOU'LL BRING We’re excited to meet candidates who bring depth in one of these areas: Platform Engineering - You have designed, built, and operated large-scale data systems, processing terabytes or petabytes of data with technologies like Spark, Flink, Trino/Presto, and data lakehouse formats like Iceberg or Hudi. - You possess strong backend and distributed systems fundamentals in a language like Go, Scala, or Python. You understand the trade-offs of different storage engines, query plans, and data serialization formats. - You have a history of implementing pragmatic data governance, lineage, and testing. You’ve built platforms that are cost-aware, highly operable, and a delight for other engineers to build upon. - You're well-versed in data modeling best practices (dimensional modeling, star/snowflake schemas, slowly changing dimensions) and know how to optimize analytical query patterns for both traditional OLAP systems and modern cloud data warehouses. Product Engineering - You have a portfolio of shipped data products, including analytics dashboards, data visualization tools, or alerting and exploration systems. - You are a skilled full-stack engineer (e.g., TypeScript/React and a service layer like Go), with a keen eye for performance, API design, and polish. - You excel at turning ambiguous questions into clear, intuitive interfaces. You have strong product sense around information architecture, handling empty states, and making complex data explainable. - You have practical experience with ML-powered product features, such as personalization, recommendations, or classification systems. Shared Qualities - Strong software engineering background with 4-7+ years of hands-on development experience in building and shipping production systems or products. - A passion for being on the frontier of AI products. - High agency and a bias to action in a high-autonomy environment. - Degree in Computer Science or related field, or equivalent professional experience.   EVEN BETTER... - Deep experience with event streaming platforms (e.g., Kafka, Kinesis) and real-time data processing. - Experience with modern data visualization libraries (e.g., ECharts, D3.js) and the principles of building performant, reusable charting components for complex data. - Production experience with recommender systems or optimization loops (e.g., multi-armed bandits, ranking). - A track record of leading complex technical projects or mentoring other engineers. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: Berlin Our Story Founded in 2009, we’re one of the world’s leading game studios, and proud of our extremely international team, consisting of more than 50 different nations. We are part of Playtika and the global leader in the category of Hidden Object Games. With June’s Journey, we’re providing joy for millions of players around the world every day. How we work Our aim is to keep doing so for many more years, if not decades. In order to be able to do so, we’ve defined a distinct way of how we’re working at Wooga, so that all relevant aspects intertwine and have a positive impact on the game. No matter if you’re part of a game team or support the success of Wooga as part of a central team, all 250+ employees from around the world can make an impact. We’re proud of the environment we’ve built, and believe you’ll enjoy working with some of the best people in the industry. Our drivers: Speed, Focus, Ownership, and Impact, guide our working style at Wooga and help us make a deliberate choice to focus on what is important to us, while working towards a shared goal. These drivers shape how we work together and what we expect from ourselves and our leaders. We are looking for a high-impact, proactive Senior Data Engineer to join our Data Engineering team in Berlin. In this role, you won't just build pipelines—you will architect the data foundation that powers our next generation of casual games and advanced analytics, and AI-driven workflows. You will be in an environment where you can take full ownership of business outcomes, bridge technical execution with strategy, and proactively identify opportunities to optimize and scale our data transformation journey. About the job Data Architecture & Strategy: Design and build resilient, scalable data infrastructure optimized for analytical workflows, feature stores, real-time context delivery, and AI-ready, well-documented data for agents and LLM applications. Modern Pipeline Engineering: Build, maintain, and optimize robust batch and streaming ETL/ELT pipelines using Scala, Python, SQL and dbt. Data Warehousing & Lakehouse: Architect clean, cost-efficient, and highly performance schemes across our cloud data warehouse platform on Snowflake. AI-Enabled Engineering & Agentic Workflows: Use AI as a daily force multiplier, not only for writing code but across the data lifecycle, from design and documentation to testing, debugging, and incident triage. Design, build, and operate agentic workflows (for example, agents that monitor pipelines, investigate data quality issues, generate and validate dbt models, or answer analysts’ questions against governed data), with proper guardrails, evaluation, and observability. Quality, Reliability & Governance: Implement automated testing, observability, and monitoring frameworks to guarantee high data reliability and low latency. Engineering Excellence & Best Practices: Follow rigorous CI/CD practices, Infrastructure-as-Code (Terraform), version control, and clear documentation across all data assets. Cross-Functional Enablement: Collaborate closely with marketing managers, game teams, product managers, and data analysts to turn ambiguous business needs into high-impact data solutions. About you Relevant Experience: In-depth professional experience as a software engineer or data engineer. Data Engineering Expertise: Strong background in senior data engineering roles with advanced proficiency in Python and complex SQL. Strong Core Programming: Deep professional experience in a strongly-typed language such as Scala, Java, or Go for building resilient data services. Modern Stack Mastery: Practical experience with cloud data platforms (favorable Snowflake), dbt and orchestration tools (we use Airflow). AI & Agentic Experience: Hands-on experience applying AI tools in your engineering work and building agentic workflows, including tool use or MCP integrations, orchestration, and evaluation. You know where agents add real value, where human review is essential, and how to keep them reliable, secure, and cost-aware. Software Engineering Mindset: Deep familiarity with Docker, Git, CI/CD, unit testing, and Infrastructure-as-Code (Terraform). Proactive & Impact-Driven: Autonomous problem solver who evaluates technical decisions based on speed-to-market, business value, and ROI rather than theoretical complexity. Collaborative Communicator: Excellent communication skills with the ability to articulate technical architecture to both engineering peers and business stakeholders. Please note: Research has shown that some under-represented groups in the gaming industry (eg: women) tend to apply only if they meet every single requirement. Here at Wooga, the desire to learn and the willingness to solve problems are more important to us than your experience on paper. We encourage you to apply even if you do not think that you tick all the boxes - thinking outside of such boxes and embracing the diversity of mindsets and backgrounds is what we believe makes our teams thrive. Our Promise Shape the future! Challenge the status quo and team up with a diverse group of experts (over 50 nationalities!) working on crafting the world’s best games. We offer a generous relocation package and home search support if you are not already located in Berlin. Did we mention that we also cooperate with Kindergartens? Make use of a significant education budget and extra days off for self-development. Join our meet-ups, talks, brown bag lunches, internal trainings, workshops and many others. Enjoy the pilates, mindfulness app, sports and transport subsidies. And a Purpose Day to donate your time to a worthy cause! Did you know that German is the third most commonly taught language worldwide? Learn it too! We offer German language classes for you and your significant other. With our hybrid work model you will work in the office with your teams twice a week, to encourage in-person collaboration and team bonding. The other three days you can choose if you want to work from home or from the office. We also offer 10 days a year to work from abroad. At Wooga we are committed to providing a friendly, safe and welcoming environment for everyone who works here or with us, regardless of gender, gender identity and expression, sexual orientation, disability, physical appearance, body size, race, age, religion (or lack thereof) and game preferences. Be yourself, we like you that way! By clicking “Submit Application” you acknowledge that you have read our Candidate Privacy Policy