Вакансии

• Опыт системного анализа от трёх лет, включая проекты DWH и аналитической отчётности. • Уверенный SQL: сложные JOIN, CTE, оконные функции, агрегаты;

Location: Москва Мы в Центре Робототехники Сбера интегрируем передовые робототехнические системы собственной разработки, включая манипуляторы, мобильные колесные роботы, мобильные манипуляторы, роботов собак и другие cutting-edge решения, в реальные промышленные проекты, чтобы обеспечить эффективность и автоматизацию процессов. Мы ищем единомышленников, которые разделяют нашу страсть к робототехнике и обладают навыками разработки встраиваемого программного обеспечения. Обязанности * конфигурация систем разработки, тестирования, средств автоматизации и ИТ-инфраструктуры * ведение документации * поддержка инфраструктуры (администрирование S3 и БД, администрирование серверов, поддержка DevOps и других средств инженерной разработки) * обеспечение мониторинга и выявление узких мест в работе систем * проработка и претворение в жизнь технологий развертывания и обеспечения бесперебойной работы прикладного ПО * решение задач в области мониторинга и обеспечения отказоустойчивости Требования * экспертные знания ОС семейства Linux * опыт работы с terraform, ansible * опыт работы с продуктами Cloud.ru (IaaS, PaaS, SaaS) * уверенные понимания сетевых технологий и протоколов * опыт работы с docker, k8s, docker-compose * понимание принципов масштабирования и обеспечения отказоустойчивой инфраструктуры * опыт работы с системами мониторинга * опыт работы с Gitlab, Nexus * опыт построения CI/CD процессов Условия * комфортный современный офис возле МЦК ЗИЛ * ежегодный пересмотр зарплаты и годовую премию * уникальную систему обучения Сбера для профессионального и карьерного развития * расширенный ДМС и льготное страхование для семьи * гибкий дисконт по ипотечному кредиту, равный 1/3 от ключевой ставки ЦБ * подписка "Прайм" с возможностью использования на трех близких * вознаграждение за рекомендацию друзей в команду Сбера.

Выстраивать микросервисную архитектуру, участвовать в принятии архитектурных решений по проекту. Работать с очередью сообщений Kafka и придерживаться event driven архитектуры.

Location: New York, NY, United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. About the Team Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin. About the Role We’re looking for a Staff Data Engineer to join our Data Engineering team, which builds and governs the data foundation that powers the business. You’ll set technical direction for our stack (Python ingestion pipelines, Airflow orchestration, and Snowflake/Databricks) and make sure data moves reliably, securely, and cost-effectively from source to decision-ready output. This is a senior individual-contributor role with broad scope and influence. You’ll own the architecture of our most critical data systems, define the standards the team builds against, and take on novel, ambiguous, high-stakes problems that don’t have a runbook. You’ll be accountable for outcomes, not just deliverables. Responsibilities Own the architecture and design of ingestion pipelines, orchestration frameworks, and data delivery systems, producing design docs that DE2s, DE3s, and senior engineers can implement against Define and evolve the team’s frameworks, conventions, and reference patterns for pipelines, Airflow DAGs, testing, monitoring, and catalog registration so new sources onboard quickly and consistently Lead diagnosis of the novel data integrity, performance, and reliability problems that escalate past senior engineers, driving systemic fixes and turning recurring failures into runbooks, automation, or better design Set and track reliability standards (SLOs, alerting, on-call health) and reduce operational toil Lead data security and governance strategy, including PII masking, RBAC, data classification, and lineage, in partnership with Security, Legal, and Compliance Design reverse ETL and data delivery integrations (e.g., Segment, LaunchDarkly, Kafka, S3) with clear SLAs, downstream-impact analysis, and failure-handling guarantees Drive platform decisions on Snowflake, Databricks, and AWS, including cost optimization, capacity planning, and build-vs-buy evaluation Lead spec and design review, anticipating downstream impact, race conditions, idempotency gaps, and failure modes before code is written, and review high-risk PRs with rigor Partner with BI, Data Science, Product, and business leadership to turn ambiguous requirements into scalable solutions, prioritize competing demands, and shape the roadmap Mentor engineers at every level, represent the team in cross-functional forums, pay down technical debt, and participate in hiring Experience and Skills 8+ years of professional software or data engineering experience, including significant experience owning production data platforms at scale A track record of designing and delivering large, cross-team data systems from ambiguous requirements through production operation Expert-level Python and SQL, with deep experience in ETL/ELT patterns for complex, high-volume transformations Deep expertise in Airflow / Managed Workflows for Apache Airflow, including DAG design at scale and operational best practices Strong command of pipeline fundamentals: idempotency, backfills, schema evolution, late-arriving data, data quality frameworks, and failure recovery Hands-on experience with several of Snowflake, Databricks, AWS, dbt, Tableau, MongoDB, and PostgreSQL, with the judgment to choose the right tool for the job Experience building data security and governance capabilities (PII masking, RBAC, catalog/lineage) and reusable pipeline frameworks that other engineers extend Strong testing, CI/CD, and code review practices, and the ability to set those standards for a team Proven ability to mentor engineers, influence without authority, and build alignment across teams Excellent written and verbal communication, including design docs, tradeoff analysis, and incident write-ups Nice to Have Experience with reverse ETL, real-time or streaming data (e.g., Kafka), and observability tooling (e.g., Datadog) Experience with FinOps and cost governance on cloud data platforms Background in gaming, betting, e-commerce, or another regulated industry, including audit, compliance, and responsible handling of PII Experience leading platform migrations or major re-architectures Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ #LI-Remote #LI-AL1 Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $180,500 — $237,500 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

-Разрабатывать и развивать механизмы загрузки данных из источников (CDC, S3, REST, Oracle). -Проектировать и поддерживать структуры хранения staging-слоя в Oracle (партиционирование, сжатие, индексы).

Location: Worldwide Launch Your Next Successful Chapter with Veta Virtual! 🚀 💸 Competitive Pay | 🌍 100% Remote | 💻 Golang, Java, React, TypeScript | 🪙 Fintech & Cryptocurrency Industry Veta Virtual is hiring a Full Stack Software Engineer for one of our high growth clients in the fintech and cryptocurrency industry. This is not a single layer coding role. This is a hands on engineering position for someone who can build both the backend services and the frontend experiences behind secure, high volume financial transactions, and who takes pride in owning a feature from idea to production. 🔑 Your Role: Our client is a leading digital currency platform operating at the intersection of crypto and traditional finance, enabling customers to buy, sell, and manage cryptocurrency through kiosks, a consumer portal, and enterprise products. Their engineering teams build secure, scalable systems that handle high-volume financial transactions and support heavily regulated, compliance-driven workflows. Your day-to-day responsibilities will include: Designing, building, and maintaining full-stack features across frontend applications and backend services. Developing and maintaining backend APIs that support onboarding, authentication, transaction lifecycles, and operational workflows. Building and enhancing front-end experiences in customer-facing and internal web applications. Integrating systems with third-party services and external providers. Implementing secure authentication and authorization using OAuth 2.0 flows. Working within a microservices environment to deliver scalable backend capabilities. Ensuring applications meet high standards for security, performance, reliability, and observability, including monitoring. Participating in code reviews, technical design discussions, and architecture decisions. Writing and maintaining clear technical documentation. ✅ What You'll Need: Core Technical Requirements 3+ years of experience as a software engineer working across frontend and backend systems. Strong experience building backend services in Golang and/or Java. Proficiency with Node.js / TypeScript v5. Experience building frontend applications using Next.js, React, and TypeScript. Solid understanding of RESTful API design. Strong SQL skills and experience with PostgreSQL. Experience working in an AWS environment. Familiarity with microservices and distributed backend systems. Tech Stack Proficiency Backend: Golang, Java Frontend: Next.js, React, TypeScript (v5), Node.js APIs: RESTful APIs Databases: SQL, PostgreSQL Infrastructure & Cloud: AWS (including S3), containerized services, Kubernetes, Helm, Terraform Authentication & Identity: OAuth 2.0 flows Monitoring/Observability: Grafana (or similar platforms) Version Control & CI/CD: Git-based workflows with CI/CD pipelines Developer Workflow: VS Code / Cursor debugging Nice to Have Understanding of multi-threading and goroutines. Webhooks and/or WebSocket experience. Architecture and system design experience. Comfort using AI-assisted development tools. Experience in fintech, crypto, payments, or other regulated industries. Experience building internal dashboards or operational tooling. Familiarity with authentication, authorization, and secure system design. 💼 What We Offer: 💸 Competitive salary in USD, based on experience. 🌴 15 paid vacation days per year, plus all U.S. national holidays. 💻 100% remote, work from anywhere in LATAM or Europe with a professional home setup. 📈 A fast paced, high growth environment at the forefront of the global fintech and cryptocurrency industry, where your code directly powers high volume financial transactions 🤝 A collaborative, high trust culture through Veta Virtual and our client, where your ownership and engineering judgment are valued from day one. Ready to Apply? If you are ready to build secure, scalable products across the full stack and own your work from design to production, apply now and launch your next chapter with Veta Virtual. Once you apply, you will be invited to complete a short two minute video question as part of our screening process. It is your first opportunity to show us your thinking and what makes you the right person for this role. We can’t wait to meet you!

Location: Intellias Meet your recruiter Khrystyna Derpak khrystyna.derpak@intellias.com https://www.linkedin.com... Vacancy details AI/ML Engineering Data Scientist Senior Bulgaria, Croatia, Poland, Portugal, Spain Remote APPLY NOW REFER A FRIEND Let’s breathe life into great tech ideas! With 3,000 people globally, Intellias is a company where benchmark technological solutions are born. Join in and take your part in digitalizing the world. What project we have for you Join a transformative data and AI platform initiative aimed at modernizing enterprise-scale capabilities and enabling real-time decision-making. This project delivers a comprehensive roadmap covering AI, MLOps, data governance, and platform scalability, supporting a shift towards data-first operations and intelligent automation. What you will do Platform setup. With customer’s platform team, provision and configure the Databricks environment in customer’s cloud account: catalog and permissions, compute (including GPU), secrets, experiment tracking. Secure data ingestion. Build repeatable ingestion of raw verification outputs and document images: parsing, pseudonymisation, data-quality checks, schema handling. Feature engineering at scale. Implement the feature tables: batch image-embedding jobs; exact and approximate linkage keys; cross-transaction and velocity aggregates; pseudonymous entity resolution. Modelling support. Implement feature-selection and mixed-data clustering methods. Run model comparisons and stability tests, and support density-model training runs. Automation. Orchestrate the end-to-end pipeline as a scheduled, idempotent, re-runnable workflow. Monitoring. Set up the data-quality and drift-monitoring prototype, with alerting, on feature and score tables. Privacy engineering. Implement access controls, provenance fields, lineage and the scripted deletion procedure. Confirm that no raw personal data reaches the analytic layer. Documentation and handover. Write runbooks and give a live walkthrough, so engineers can operate everything independently What you need for this PySpark & Spark SQL: Nested-JSON flattening (explode, structs),`mapInPandas` / pandas UDFs, window functions for velocity and distinct-count aggregates, partitioning and performance tuning Databricks: Unity Catalog (catalogs, schemas, grants, column masks, tags, lineage), external locations on S3, cluster / compute policies incl. GPU, Auto Loader, Delta (MERGE, time travel, VACUUM), Workflows, Repos, secret scopes AWS: S3, IAM roles / instance profiles, KMS decryption in jobs, Secrets Manager, basic cost awareness Data engineering for ML: Medallion design (Bronze / Silver / Gold), schema evolution, idempotent loads, DQ profiling, Feature Engineering in UC (feature tables) Pseudonymisation in pipelines: HMAC tokenization with per-key-type keys, normalisation (Unicode NFKD, case, token sort), phonetic keys, never logging raw values, scripted deletion (DROP / VACUUM / secret destruction) Entity resolution (implementation): Blocking / candidate generation with exact and approximate keys, edit-distance tolerance, match scores, surrogate IDs, conflict counting rather than merging Image processing at scale: Running a GPU batch job that decrypts, crops and embeds images in memory (PyTorch / timm), PCA, LSH bucketing Mixed-data clustering: Hands-on: `kmodes` (k-prototypes), `gower` + `kmedoids` with sampling, R `kamila` on Databricks, `StepMix` (latent class), bootstrap ARI Bayesian statistical analysis: Hands-on experience applying Bayesian methods to real-world data problems, including prior/posterior modelling, Bayesian inference, uncertainty estimation, and interpretation of probabilistic results. Feature selection: Mutual information, correlation pruning, PCA. Can run a BPSO / GA search with`mealpy` MLOps & monitoring: M*Lflow experiments and registry (aliases), Lakehouse Monitoring * (profile and drift metrics on Delta tables), SQL alerts, PSI / JS divergence Handover: Writes runbooks and README-level documentation. Leaves a single end-to-end Workflow that someone else can run Nice to have Experience with AssureID / identity-verification JSON outputs. PyOD and basic PyTorch training (to support A on the VAEs in week 2). What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills AWS Python

Location: Yerevan, Armenia About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities The Engine team develops and maintains core components of the Workato Recipe runtime. Scope includes recipe execution, DSL, event pulling, webhook processing, and job execution. The team owns trigger and event infrastructure that defines how integrations start and react to external events. Current focus: modernization of a high-throughput platform to improve reliability, scalability, and long-term evolvability. Work is platform-oriented and directly impacts runtime performance and system correctness. In this role, y ou will also be responsible to: Design and implement distributed backend systems in Go with deep consideration of performance and memory behavior. Work on runtime-level components operating under high concurrency and throughput. Apply in-depth knowledge of Go internals (scheduler, memory model, garbage collection behavior) to improve system efficiency. Design and optimize concurrent workflows using goroutines, channels, synchronization primitives, and context propagation. Analyze and optimize slice usage, memory allocations, and data structures for performance-critical paths. Improve execution engine for custom third-party code (isolation, performance, feature extensions). Modernize runtime components with focus on modularity, structured architecture, and observability. Improve trigger configuration and execution across webhooks and polling mechanisms. Integrate and optimize data storage solutions (Postgres, S3, DynamoDB, Kafka, ClickHouse). Identify bottlenecks, race conditions, deadlocks, and performance degradation in distributed systems. Own initiatives end-to-end, from design to rollout and production support. Conduct code reviews with emphasis on correctness, concurrency safety, and performance characteristics. Requirements Qualifications / Experience / Technical Skills Strong experience in building scalable distributed backend applications (7+ years). Great understanding of all building blocks of large web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc. Good understanding of network protocols and stacks. Good understanding of DB technologies: classic databases and modern no-SQL. Knowledge of basic data structures and algorithms and how they are used is a must. Multilingual programming experience: our code base is primarily in Ruby, with trend to migrate to GOlang and Rust. Excellent debugging, analytical, problem solving, and social skills. BS/MS degree in Computer Science, Engineering or a related subject, 7+ years of industry experience. Readiness to work remotely with teams distributed across the world and timezones. Nice to Haves Background in network programming. Background in application, data security. Deep knowledge of physical DB design. Experience of working with Docker and other isolation technologies. Experience of working with public cloud infrastructure providers(AWS/Azure/Google Cloud). Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc). Experience in building/deploying data processing pipelines is a plus. Experience of working with third-party REST APIs at scale (request throttling, batch processing etc). Location: Remote — We are hiring candidates based in Germany, Armenia, Georgia, Portugal, Poland, the Netherlands, Serbia, Armenia, Georgia, Greece, and Spain. (REQ ID: 2997)

Location: Berlin, Germany; Frankfurt, Germany; Munich, Germany About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities The Engine team develops and maintains core components of the Workato Recipe runtime. Scope includes recipe execution, DSL, event pulling, webhook processing, and job execution. The team owns trigger and event infrastructure that defines how integrations start and react to external events. Current focus: modernization of a high-throughput platform to improve reliability, scalability, and long-term evolvability. Work is platform-oriented and directly impacts runtime performance and system correctness. In this role, y ou will also be responsible to: Design and implement distributed backend systems in Go with deep consideration of performance and memory behavior. Work on runtime-level components operating under high concurrency and throughput. Apply in-depth knowledge of Go internals (scheduler, memory model, garbage collection behavior) to improve system efficiency. Design and optimize concurrent workflows using goroutines, channels, synchronization primitives, and context propagation. Analyze and optimize slice usage, memory allocations, and data structures for performance-critical paths. Improve execution engine for custom third-party code (isolation, performance, feature extensions). Modernize runtime components with focus on modularity, structured architecture, and observability. Improve trigger configuration and execution across webhooks and polling mechanisms. Integrate and optimize data storage solutions (Postgres, S3, DynamoDB, Kafka, ClickHouse). Identify bottlenecks, race conditions, deadlocks, and performance degradation in distributed systems. Own initiatives end-to-end, from design to rollout and production support. Conduct code reviews with emphasis on correctness, concurrency safety, and performance characteristics. Requirements Qualifications / Experience / Technical Skills Strong experience in building scalable distributed backend applications (7+ years). Great understanding of all building blocks of large web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc. Good understanding of network protocols and stacks. Good understanding of DB technologies: classic databases and modern no-SQL. Knowledge of basic data structures and algorithms and how they are used is a must. Multilingual programming experience: our code base is primarily in Ruby, with trend to migrate to GOlang and Rust. Excellent debugging, analytical, problem solving, and social skills. BS/MS degree in Computer Science, Engineering or a related subject, 7+ years of industry experience. Readiness to work remotely with teams distributed across the world and timezones. Nice to Haves Background in network programming. Background in application, data security. Deep knowledge of physical DB design. Experience of working with Docker and other isolation technologies. Experience of working with public cloud infrastructure providers(AWS/Azure/Google Cloud). Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc). Experience in building/deploying data processing pipelines is a plus. Experience of working with third-party REST APIs at scale (request throttling, batch processing etc). (REQ ID: 2997)

Location: Barcelona, Spain; Madrid, Spain About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities The Engine team develops and maintains core components of the Workato Recipe runtime. Scope includes recipe execution, DSL, event pulling, webhook processing, and job execution. The team owns trigger and event infrastructure that defines how integrations start and react to external events. Current focus: modernization of a high-throughput platform to improve reliability, scalability, and long-term evolvability. Work is platform-oriented and directly impacts runtime performance and system correctness. In this role, y ou will also be responsible to: Design and implement distributed backend systems in Go with deep consideration of performance and memory behavior. Work on runtime-level components operating under high concurrency and throughput. Apply in-depth knowledge of Go internals (scheduler, memory model, garbage collection behavior) to improve system efficiency. Design and optimize concurrent workflows using goroutines, channels, synchronization primitives, and context propagation. Analyze and optimize slice usage, memory allocations, and data structures for performance-critical paths. Improve execution engine for custom third-party code (isolation, performance, feature extensions). Modernize runtime components with focus on modularity, structured architecture, and observability. Improve trigger configuration and execution across webhooks and polling mechanisms. Integrate and optimize data storage solutions (Postgres, S3, DynamoDB, Kafka, ClickHouse). Identify bottlenecks, race conditions, deadlocks, and performance degradation in distributed systems. Own initiatives end-to-end, from design to rollout and production support. Conduct code reviews with emphasis on correctness, concurrency safety, and performance characteristics. Requirements Qualifications / Experience / Technical Skills Strong experience in building scalable distributed backend applications (7+ years). Great understanding of all building blocks of large web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc. Good understanding of network protocols and stacks. Good understanding of DB technologies: classic databases and modern no-SQL. Knowledge of basic data structures and algorithms and how they are used is a must. Multilingual programming experience: our code base is primarily in Ruby, with trend to migrate to GOlang and Rust. Excellent debugging, analytical, problem solving, and social skills. BS/MS degree in Computer Science, Engineering or a related subject, 7+ years of industry experience. Readiness to work remotely with teams distributed across the world and timezones. Nice to Haves Background in network programming. Background in application, data security. Deep knowledge of physical DB design. Experience of working with Docker and other isolation technologies. Experience of working with public cloud infrastructure providers(AWS/Azure/Google Cloud). Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc). Experience in building/deploying data processing pipelines is a plus. Experience of working with third-party REST APIs at scale (request throttling, batch processing etc). Location: Remote — We are hiring candidates based in Germany, Armenia, Georgia, Portugal, Poland, the Netherlands, Serbia, Armenia, Georgia, Greece, and Spain. (REQ ID: 2997)

Управление распределённой инфраструктурой, обеспечение стабильности и отказоустойчивости систем. Работа с облачными платформами OVHcloud, AWS, Azure.

В команду листинга (сервис коммерциализации товаров) мы ищем аналитика, который будет работать на всех этапах жизненного цикла продукта: от сбора и валидации требований до приемочного тестирования и сопровождения внедренных решений. ● Опыт самостоятельного ведения задачи от бизнес-требований до релиза.

Location: Remote - US Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Software Engineer, (L3) Email About the job This position is a critical engineering role within Twilio SendGrid, requiring a hands-on engineer capable of developing, deploying, and managing highly available, massive-scale distributed systems. Our systems regularly process more than 12 billion emails during peak events like Black Friday, and our throughput requirements continue to scale rapidly. As an L3 engineer, you will act as a key driver of execution within our core services. You will be heavily involved in modernizing our backend systems, optimizing our extensive Go-based microservices, and contributing to the design and reliability of our dual-cloud infrastructure span across Amazon Web Services (AWS) and Microsoft Azure. Responsibilities In this role, you’ll: WEAR THE CUSTOMER’S SHOES: Architect and ship reliable, high-velocity features that handle critical traffic with low end-to-end latency. Partner closely with product management and technical leadership to break down complex system requirements into manageable, iterative milestones. BE AN OWNER (CODE QUALITY): Drive rigorous code reviews and push for maintainable patterns in our Go codebase, ensuring high testing standards (unit, integration, and component testing) are executed across the team. BE AN OWNER (INFRASTRUCTURE & OBSERVABILITY): Manage and enhance cloud configurations across AWS and Azure environments utilizing Infrastructure as Code (Terraform). Ensure deep observability coverage by standardizing metrics, alerts, and distributed tracing across core data pipelines. CHAMPION ENGINEERING HEALTH: Advocate for a clean architectural foundation. Proactively identify technical debt, system bottlenecks, and single points of failure (SPOF), balancing feature delivery with critical platform refactoring. MENTOR AND LEAD: Foster a collaborative environment by mentoring junior engineers, leading technical sprint planning, and sharing expertise across distributed engineering nodes. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: Experience: 4+ years of professional software engineering experience building and operating resilient backend services at scale. Modern Development Workflow: Practical experience leveraging AI-assisted development tools (such as Claude Code) to accelerate code generation, automate testing, and streamline debugging workflows. Language Proficiency: Strong, hands-on production experience writing clean, idiomatic, and highly concurrent Go (Golang), Java or Python . Cloud Infrastructure: Solid experience deploying and managing production workloads in cloud environments—ideally with deep exposure to AWS core services (such as EC2, S3, Aurora, or DynamoDB) AND Microsoft Azure equivalents (such as Virtual Machines, Blob Storage, Azure SQL, or Cosmos DB). Infrastructure as Code: Proficiency with Terraform for provision-level automation and maintaining environment parity. Distributed Systems: Strong theoretical and practical understanding of distributed datastores, caching layers, and asynchronous event streaming (e.g., Kafka or similar queuing ecosystems). Systems Mindset: Strong foundational background in computer science fundamentals, data structures, and building self-healing cloud architectures. Desired: Prior experience managing high-throughput applications running inside containerized infrastructure ( Docker, Kubernetes ). Familiarity with database migration pathways (e.g., transitioning traditional on-prem/relational datastores to managed instances like AWS Aurora ). Experience implementing OpenTelemetry or distributed tracing systems across decoupled microservice platforms. Direct experience handling constraints related to network topology, proxy layers, or mail transfer agent (MTA) protocols. Location This role will be remote, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation *Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $138,700 - $173,400 Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $146,800 - $183,600 Based in the San Francisco Bay area, California: $163,100 - $203,900. This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Applications for this role are intended to be accepted until 12/31/2026, but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: MinIO Bay Area MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data. We are seeking a technical, entrepreneurial Sr Regional Sales Manager to build and close transformative enterprise business in the Northern California region. You will own a territory and the full sales cycle, from account prioritization and pipeline creation through technical validation, quantified business value, executive alignment, negotiation, and close.MinIO's technical credibility opens doors, and your job is to turn it into predictable growth. What You Will Do Own your territory and the full sales cycle: account prioritization, direct outreach, discovery, technical validation, quantified business value, executive alignment, negotiation, and close. Build new franchise accounts by landing complex enterprise opportunities and creating credible expansion paths across workloads, business units, and regions. You may also inherit  existing accounts with meaningful upsell and cross-sell potential. Lead technical and vision selling across storage, data infrastructure, lakehouse, AI/ML, analytics, and HPC environments, translating architecture into quantified customer outcomes. Control POCs and POVs with clear success criteria, and build business cases that give buyers a reason to act now. Compete against legacy storage vendors, cloud alternatives, direct competitors, and the status quo by shaping decision criteria early. Build champions and executive relationships, and navigate security, procurement, finance, and multi-stakeholder buying committees. Orchestrate Solutions Engineering, product, executive, and partner resources through close and expansion. Keep disciplined account plans, a current CRM, realistic close dates, and forecasts grounded in buyer evidence. A sustained record of enterprise quota attainment and personally led new-logo wins, with 7+ years of direct enterprise quota-carrying experience preferred. Experience closing multiple technical enterprise deals and carrying a $1.5M+ quota (or comparable responsibility). Experience as one of the first one to three sellers building a region, segment, or new-market account focus at an early-stage or category-building company. Technical credibility in storage, object storage/S3, data infrastructure, data lake/lakehouse, AI/ML, analytics, HPC, or adjacent platforms. A repeatable, metrics-based approach to direct outreach, territory building, and pipeline creation including effective partner co-selling. Skill in technical validation, value selling, competitive displacement, executive access, and complex negotiation. Entrepreneurial ownership combined with disciplined forecasting, account planning, and collaboration. Your Skills and Experience Direct object-storage and S3 ecosystem experience. AI/ML, lakehouse, analytics, or HPC workload experience. Co-sell experience with cloud, channel, OEM, or alliance partners. Experience displacing legacy storage or incumbent infrastructure vendors. What We Offer: Health Care Plan (Medical, Dental & Vision) 401K with 3% Contribution Pre-IPO Stock Options At least 12 Public Holidays Flexible Time Off Equal Opportunity Policy (EEO) MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Задачи: — Руководство командой инженеров данных — Координация с аналитикой и продуктовыми командами — Участие в проектировании архитектуры новых проектов — Поддержка и расширение существующих систем — Оптимизация и автоматизация рабочих процессов — Проведение командных ритуалов (планирование, стендапы, Planning Poker) Требования: — Опыт руководства командой 3–5 человек либо работы в роли техлида с ответственностью за сроки — Опыт кросс‑функциональных проектов (инженерия, аналитика, продукт) — Навыки оценки сроков и передачи знаний, документация и конструктивная коммуникация — Технические навыки: Apache Airflow, Apache Spark, ClickHouse, dbt, работа с объектным хранилищем/data lake (S3, Apache Iceberg — плюс), Kafka, Python и SQL на уровне продакшена — Понимание продуктовой аналитики и атрибуции (AppsFlyer, MyTracker, трекеры рекламных сетей — плюс) — Будет плюсом опыт в ad‑tech, мобильной/маркетинговой аналитике, миграциях хранилищ, использовании AI‑инструментов в data‑инжиниринге.

-Уверенное понимание принципов построения дата-платформ (DWH, OLAP, Data Lake, Lakehouse). -Знание методологий проектирования модели данных (Kimball, Data Vault), реальный опыт применения их на практике для проектирования моделей данных.

Location: Remote, Worldwide Note: We aren't currently actively hiring for this role but we're always open to stellar candidates.  Think you have a story that would wow us?  Apply and we'll find out!  We'll always find a place on the team for a rockstar! About Us Manara is a social impact startup whose mission is to unlock human potential and diversify the global tech sector while uplifting the economies of the Middle East & North Africa (MENA), with an emphasis on Palestine and women. The region has the highest youth unemployment in the world (higher than sub-Saharan Africa) despite high levels of tertiary education. Women are particularly impacted: in Palestine, 52% of computer science students are women, but 83% of them end up unemployed. Our initial success was with an entirely remote solution which identified the top computer scientists in the region, taught them how to pass interviews, vetted them, and helped them find amazing jobs (both remote and on-site). And it worked:  at Google 71% of our referrals in our last batch were hired.   We've converted that learning into a multi-modal, self-learning online platform so we can exponentially grow the number of people we help.  Our platform already has more than 50k active users each month and is rapidly growing. Our team previously worked at Google, Amazon, Upwork, Nvidia, Box, and Gaza Sky Geeks. We are experienced founders, operators, and technologists. Our investors include Stripe, Y Combinator, Seedcamp, Reid Hoffman, Paul Graham, Jessica Livingston, Namrata Ganatra (the former CTO of Lambda School), Christina Sass (the former President of Andela), and Emma Tracey (the founder of Honeypot). Your Role As a member of a small team of engineers at a growing startup, every day you will be working on improvements to our core product.  We are constantly innovating new ways to help our users and make their experience better, so we rely on every member of our team to have a strong ownership mindset.  This helps us ship fast and maintain high quality in our work. Our tech product’s mission is to: Upskill our users across a variety of technical and behavioral skills Improve access to learning critical skills and knowledge for underserved communities in MENA Build a community of technical talent in MENA where they can inspire & support each other Imagine a blend of Udacity, Grammarly, LinkedIn, and Stack Overflow for the MENA region. :-) You’ll implement complex workflows in our Next.js/Node application, help build out our AWS infrastructure, and generally help with the challenges all growing startups face.  Note:  Knowing Next.js and AWS is a nice-to-have but not a requirement for this role. Our team believes strongly in constant learning and growth.  Our tech stack covers a wide variety of tools and requires regular collaboration and knowledge sharing.  The ideal candidate prides themselves on their ability to quickly learn and one who goes out of their way to share that learning with the team. Your Qualifications Note: Diverse candidates often screen themselves out of job applications if they don’t have all the qualifications. Please apply if you’re excited about the role - we’d love to see your application! Technical skills (required): Write high-quality, maintainable code with unit, integration, and end-to-end tests. Experience collaborating with a team on a shared codebase. Work with JavaScript and Node.js. Comfortable working on both front-end and back-end technologies. Focus on business value and how your choices impact our users. You don’t want to simply complete tickets, you want to understand how each ticket gets us closer to our goals. Technical skills (not required): Next.js knowledge RDBMS experience (PostgreSQL preferred) AWS services such as Lambda, API Gateway, and S3 Soft skills: Remote : You have experience working on effective remote teams & thrive in such environments. You work well across time zones (e.g., you communicate effectively via asynchronous oral & verbal channels). Ability to handle ambiguity : we’re an early-stage startup which means the roadmap will change Execution/project management: As a small startup, we depend heavily on each person to be reliable and effective. You get things done efficiently and accurately, with little need for supervision. You use tools like Jira & remember everything that needs to get done. Collaboration/team player : You can work effectively with other people at Manara. For example, you partner closely with our sales leader who manages our hiring partner network to make matches between our participants and companies. You collaborate with our training/program manager to develop new training programs based on what you see posing challenges for our job hunters.  You roll up your sleeves to do the unglamorous work or support a team member when needed. Growth mentality : You love learning, are hungry for feedback, and can quickly learn new things (process, technologies, etc.) Passionate about Manara’s mission of creating a community that unlocks the full potential of top tech talent in MENA (with a focus on Palestine & women) Location We are a fully remote team but often like to work 'synchronously asynchronous', so your specific location doesn't matter but, to guarantee effective teamwork, we generally require our developers to be between UTC-4 and UTC+3.  To ensure we all have time to work together each day, we require everyone to be available from 9am to 1pm PST/PDT. Our dev team today is spread between Brazil, Egypt, France, Jordan, Palestine, Tunisia, and the UK. Our company also has staff in the US, other parts of MENA, and beyond!  The US team travels regularly to Europe (including Eastern Europe) and MENA, and we do 1-2 annual, company-wide meetups for everyone to get together, socialize, and co-work.

Ищем SRE в команду, которая отвечает за доступность, обновления и восстановление систем хранения и обработки данных. — диагностика сбоев, производительности и репликации платформы данных;