Вакансии

Location: United States (Remote) Workplace: Remote ROLE SUMMARY We're looking for a Senior Software Engineer to join our high-impact team focused on product scalability, customer experience, and revenue growth. Our team owns business-critical services including customer onboarding and off-boarding, billing and metering, cloud marketplace integrations, customer-facing usage and cost reporting, and the account data integrations that keep revenue systems in sync across the business. In this role, you'll lead technical direction and build systems that directly impact Temporal's revenue engine and customer journey. You'll partner closely with engineers, product managers, finance, revenue operations, support, and sales to design resilient architectures, drive cross-functional execution, and raise the reliability and scalability bar for our billing, metering, and customer lifecycle platforms. If you enjoy owning ambiguous, high-leverage problems and building durable systems that scale with the business, we'd love to meet you. WHAT YOU'LL DO - Lead the Design of Business-Critical Systems: Own end-to-end technical design and delivery for services that power customer acquisition, onboarding/offboarding, and revenue operations. - Drive Architectural Excellence: Define and evolve system architecture for high-throughput, fault-tolerant metering and billing pipelines; make principled tradeoffs across correctness, latency, cost, and operability. - Own Cross-Functional Execution: Partner with Finance, RevOps, and Sales to translate business needs into robust, scalable systems—anticipating edge cases, ensuring auditability, and aligning stakeholders on milestones and risks. - Own the Account Lifecycle End to End: Build the flows that carry an account from acquisition through activation, expansion, billing, and offboarding—self-service and operator-initiated onboarding, plan and SKU changes, suspension, dunning, and clean offboarding. - Keep Revenue Data Coherent Across the Business: Own the integrations and pipelines that reconcile control-plane state with CRM, support, analytics, and BI systems, so finance, support, and sales operate on the same numbers. - Build Customer-Facing Usage and Cost Transparency: Design the APIs and metrics surfaces customers use to understand their spend—usage APIs, cost reporting, and billable-action metrics—with the accuracy and latency guarantees that make them trustworthy. - Ensure Data Integrity, Reliability, and Compliance: Build and operate distributed data systems with strong correctness guarantees; implement monitoring, alerting, dashboards, and runbooks that keep revenue-impacting pipelines trustworthy. - Raise the Engineering Bar: Set quality standards through code reviews, design reviews, and operational readiness; introduce patterns and tooling that improve maintainability and incident response. - Mentor and Multiply Impact: Mentor engineers, unblock execution, and foster a culture of ownership, learning, and pragmatic excellence. - Improve Developer and Customer Experience: Identify opportunities to streamline customer flows via automation, better tooling, and targeted platform improvements that reduce friction and support load. TECHNOLOGY STACK - Primary Language: Go - Data Storage: PostgreSQL, ClickHouse, Redshift, S3, Google Cloud Storage, Azure Blob Storage - Data Processing: Kinesis, Firehose - Infrastructure: Kubernetes - Billing & Revenue: Metronome, Stripe - Go-to-Market Integrations: Salesforce, Segment, Pylon, Zapier, cloud marketplace APIs - Customer-Facing Standards: OpenMetrics, FOCUS - Core Framework: Temporal (of course 😉) WHAT YOU'LL BRING - Significant experience designing and delivering production-grade backend systems (ideally in cloud environments) with meaningful ownership over architecture and operational outcomes. - Strong proficiency in at least one systems/backend language (Go preferred), with the ability to navigate large codebases and drive technical decisions. - Demonstrated experience building and operating distributed systems: concurrency, reliability, scaling, consistency, and failure handling. - Practical understanding of data pipelines and storage systems (e.g., Postgres, Redshift, Kafka/Kinesis, S3-like systems) and how to ensure correctness and traceability. - Experience integrating and reconciling against third-party SaaS platforms (billing, CRM, support, analytics), including idempotency, drift detection, and recovery when an upstream system disagrees with your source of truth. - Experience with production operations: observability, incident response, performance tuning, on-call readiness, and continuous delivery. - Ability to work effectively across functions (Finance/RevOps/Sales/Support), translating ambiguous requirements into clear, executable technical plans. - Strong written and verbal communication skills, including the ability to write design docs, align stakeholders, and explain tradeoffs. - A "builder" mindset: you enjoy simplifying complex workflows, improving tooling, and leaving systems better than you found them. WHAT YOU CAN EXPECT - High-impact ownership over systems tied directly to revenue, customer lifecycle, and platform scalability - Collaborative engineering culture focused on quality, pragmatism, and measurable outcomes - Exceptional technical colleagues and a feedback-rich environment - Lean processes and autonomy without unnecessary bureaucracy - Strong emphasis on reliability and operational excellence—balanced with rapid iteration - A team that values mentorship, thoughtful design, and steady improvements that compound over time Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: Remote - Bengaluru, India 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 highly technical, visionary, and customer-centric Field CTO to act as our premier technical ambassador. In this role, you will bridge the gap between MinIO’s engineering innovation and the strategic business needs of our largest, most complex enterprise customers. As a Field CTO, you will engage in peer-to-peer conversations with enterprise C-suites (CIOs, CTOs, CDOs) and lead architectural discussions with principal engineers. A deep, hands-on understanding of modern AI architectures (LLMs, RAG, deep learning pipelines) and modern analytics data systems (Iceberg, Delta Lake, Trino, Spark) is mandatory. You will not only evangelize MinIO’s capabilities but also act as a trusted advisor, helping organizations architect their data infrastructure to support next-generation workloads. What You Will Do Executive Advisory & Evangelism: Act as a trusted technical advisor to C-level executives at Fortune 500 companies. Articulate the strategic value of high-performance object storage in the context of AI readiness and data democratization. Architectural Leadership: Design and validate complex, large-scale architectures for enterprise customers. Guide them in integrating MinIO seamlessly into their AI/ML pipelines and modern data lakehouse ecosystems. Industry Thought Leadership: Represent MinIO at major industry conferences, webinars, and meetups. Write technical whitepapers, reference architectures, and blog posts focusing on the intersection of object storage, generative AI, and modern analytics. Pre-Sales & Post-Sales Strategic Support: Partner closely with enterprise sales and customer success teams on high-stakes deals. Unblock technical objections and provide strategic guidance during Proof of Concepts (PoCs) and large-scale deployments. Product Strategy Feedback Loop: Serve as the "voice of the customer" to MinIO’s product and engineering teams. Distill market trends, customer pain points, and emerging AI/Analytics patterns into actionable product requirements. Required Qualifications 10+ years of experience in technical leadership roles (e.g., Enterprise Architect, Chief Architect, VP of Engineering, or previous Field CTO). Demonstrated experience in a customer-facing or evangelist capacity, successfully presenting to both highly technical audiences and C-level business executives. AI & Machine Learning Architectures: Deep architectural understanding of Generative AI and Large Language Models (LLMs) , including Retrieval-Augmented Generation (RAG) workflows and vector databases (e.g., Milvus, Qdrant, Pinecone). Strong knowledge of AI/ML data pipelines and frameworks (PyTorch, TensorFlow, Ray, Hugging Face). Understanding of hardware bottlenecks in AI, specifically the challenge of feeding data to GPUs (GPU data starvation) and how high-throughput storage solves this. Modern Analytics & Data Systems: Expertise in Open Table Formats (Apache Iceberg, Apache Hudi, Delta Lake) and their integration with object storage. Proficiency with modern query engines and compute frameworks (Trino, Presto, Apache Spark, Flink, StarRocks). Solid grasp of the evolution from traditional data warehouses to modern Data Lakehouse architectures. Infrastructure & Cloud-Native Tech: Strong command of Kubernetes, containerization, and cloud-native orchestration. Deep understanding of the AWS S3 API, RESTful APIs, and distributed systems design. 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.

Location: Mapbox Germany Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.  The Maps API team builds and maintains the applications and infrastructure responsible for creating and distributing Mapbox maps https://www.mapbox.com/maps. Thousands of customers rely on our services to seamlessly handle billions of requests every day, scale in real-time to global events, and enable designers, developers, and analysts to make and share maps we’ve never dreamed of. Delivering maps means delivering a model of the world that’s changing all the time and needs to automatically support the world’s edge cases – writing systems, fonts, local regulations, and global boundary disputes. Our team maintains the highest-traffic read APIs at Mapbox and the distributed ETL pipelines used by internal and external customers to turn data into maps. We’re building new ways for people to visualize location data. Check out our Mapbox maps https://www.mapbox.com/maps! As AI becomes embedded in modern engineering workflows, we value engineers who can thoughtfully integrate AI into design, development, and decision-making. Our interview process will include discussion of how you use AI in your engineering workflow. WHAT YOU’LL DO As a Software Development Engineer III on the Maps API team, you will be responsible for balancing rapid development of new mapping tools against the reliability of our services as they scale into new request volumes, markets, and use cases. In a single week on the Maps API team, you might write application code robust to a world’s worth of data, build and deploy microservices, diagnose complex system behavior as global markets drive traffic in unexpected ways, or facilitate continuous delivery at Mapbox. In this role, you can expect to: - Lead your engineering team to identify and scope out well-defined tasks. - Execute on the scope and be accountable for delivering on time with quality. - Design systems and make architectural decisions that will keep pace with the rapid growth of Mapbox’s customer base. - Mentor your peers through 1:1s, facilitating design and code reviews, and providing continuous guidance to foster professional growth and technical excellence. - Promote a culture of operational excellence by meticulously testing and monitoring our systems and code, writing documentation, and being on-call to support the health of our services. - Reduce technical debt, share your knowledge, and invest in your teammates’ health and happiness, while optimizing application performance and accelerating feature velocity. - Uphold a culture of collaboration, transparency, creativity, inclusion, and data-driven decisions. WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE - Required Education/Certification: - Bachelors Degree in STEM discipline and 8 + years of experience building scalable high volume low latency backend services. - Technical Skills & Tools (Must-Haves): - Proficiency with Python, NodeJS, and native AWS (CDK, ECS, Step Functions, Lambda, S3, RDS, CloudWatch, CloudFront). - Familiarity with code versioning tools, such as GitHub. - Core Competencies & Scope: - Able to perform independently all the development tasks, based on designs and specs. - Self-starter who is communication and outcomes-oriented. - An empirical analytical approach. You develop strong hypotheses, conduct spikes, and clearly communicate your findings. - A desire to share your expertise through documentation, mentorship, pairing, and both written and verbal discussion. - A desire to work with and lead individuals with diverse backgrounds, perspectives, and experiences. - High quality mindset -- write unit tests, proactively remedy defects and follow through to production.   NICE TO HAVE TRAITS FOR THIS ROLE - Proficiency in C++ - Experience building mapping and geospatial related products. EMPLOYMENT REQUIREMENTS - Employment Type: Full-time - Weekly Hours: 40 h per week - Location/Hybrid Policy: Remote (from any city in Germany)   WHAT WE VALUE In addition to our core values https://www.mapbox.com/about/values/, which are not unique to this position and are necessary for Mapbox leaders: - We value high-performing creative individuals who dig into problems and opportunities. - We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. - We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. - We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply. HOW WE SUPPORT YOU - Hybrid/Remote Options: Enjoy flexibility to work comfortably from home or periodically from an office where applicable. - Country-Specific Care & Coverage: Private health, dental, and income protection plans tailored to elevate your regional statutory benefits. - Family-First Support: Family care, maternity and paternity leave policies to support your growing family. - Lifestyle Spending Account: Contributions to support your health, wellness, and personal growth - Balance & Brainpower: Mental health support for you and your dependents. - Rest & Recharge: Paid time away, company holidays, and generous absence policies. - Time Off to Give Back: Dedicated paid volunteering time in addition to your standard PTO. By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice https://www.mapbox.com/legal/applicant-privacy-notice/ for applicants, which is linked here. Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application. We are committed to a fair and equitable hiring process. We do not discriminate against any protected class. #LI-Remote

Проект: разработка нового микросервиса DocForge (сервис комплектов документов последней мили) и его интеграция с TDS. На первом этапе необходимо реализовать PoC-прокси между TDS и WTIS: прием запроса по ID заказа, запуск асинхронной обработки, проксирование запроса в WTIS, получение PDF-документов, сохранение в S3, выдача полного комплекта или отдельного документа, ведение статусов и логов обработки в PostgreSQL. Задачи: — Backend-разработка микросервиса DocForge на Go — Проектирование и реализация API/worker-компонентов — Интеграция с TDS, WTIS и S3 — Подготовка сервиса к тестовому запуску и канареечному включению по регионам Требования: — Общий опыт работы от 6 лет в backend-разработке, включая коммерческую разработку высоконагруженных сервисов и интеграций между внутренними системами — Опыт с Golang от 3 лет — Опыт с PHP от 1 года (для изучения текущей логики в легаси) — Опыт с PostgreSQL от 3 лет — Опыт с REST API от 3 лет — Опыт разработки асинхронных worker-процессов от 2 лет — Опыт интеграции с S3-совместимыми хранилищами от 1 года — Опыт с Docker/Kubernetes от 2 лет — Опыт мониторинга и логирования от 2 лет — Опыт работы с Jira/Confluence/GitLab от 1 года — Желателен опыт в e-commerce, ERP, документообороте, транспортной или складской логистике — Не менее трех завершенных коммерческих проектов уровня Enterprise — Обязателен опыт разработки микросервисной архитектуры, API-контрактов, фоновой обработки задач, интеграции с внешними/legacy-системами, работы с отказами, retry-механизмами, circuit breaker и идемпотентностью — Желателен опыт миграции функциональности из монолитной ERP/legacy-системы в отдельный микросервис Условия: — Удаленная работа из России, предпочтительно Москва Технологии и инструменты: — Обязательные: Golang, PHP, REST API, PostgreSQL, JSON/JSONB, S3-совместимое хранилище, Docker, Kubernetes, GitLab, Jira, Confluence, GoLand/JetBrains IDE, инструменты логирования и трассировки — Желательные: Grafana, Prometheus, OpenTelemetry, Kafka или RabbitMQ, Redis, MinIO, Swagger/OpenAPI, feature toggle, CI/CD в GitLab, PlantUML/C4, опыт построения сервисов с асинхронной обработкой и поллингом статусов Системы учета задач и документации: — Jira, Confluence, GitLab Обязательна ежедневная отчетность о проделанной работе в согласованном канале коммуникации.

Задачи: — Развёртывание и конфигурация Matrix-хоумсервера на инфраструктуре заказчика. — Настройка отказоустойчивости и масштабирования backend-инфраструктуры. — Интеграция аутентификации и корпоративных сервисов безопасности. — Разработка кастомных серверных модулей под требования. — Настройка аудита, логирования и мониторинга. — Обеспечение безопасности, нагрузочное тестирование и подготовка к аудиту. Требования: — Опыт Backend-разработчиком от 4 лет. — Коммерческий опыт работы с Matrix (Synapse / Dendrite / Element) - обязательно. — Готовность к релокации в Саудовскую Аравию на 3 месяца (релокацию оплачиваем) - обязательно. — Senior-уровень backend-разработки: Python (Synapse - Python/Twisted) и/или Go. — Глубокий опыт с PostgreSQL : репликация, оптимизация запросов, HA. — Redis (кэширование, Pub/Sub). — Docker, CI/CD, уверенное администрирование Linux. — Опыт с self-hosted / on-premise инфраструктурой и объектным хранилищем (MinIO / S3 / Ceph). — Nginx, TLS/HTTPS. — Понимание принципов E2EE, криптографии и безопасной архитектуры (zero-trust, defense-in-depth). — Опыт интеграции LDAP/AD и SSO (SAML 2.0 / OIDC). — Разговорный английский (проект международный, коммуникация с заказчиком). Будет плюсом: — Опыт с WebRTC. — Elasticsearch / OpenSearch. — Опыт интеграции ICAP / антивирусных решений (ClamAV). — Опыт с SIEM, compliance и аудитом (immutable/WORM-логи). — Опыт на международных enterprise / госпроектах с повышенными требованиями к ИБ.

Location: Remote (Canada) Workplace: Remote BUILD SOMETHING PEOPLE LOVE Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $169 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual https://www.wealthsimple.com/en-ca/culture and learn more about how we work https://www.wealthsimple.com/en-ca/careers. The Finance, Brokerage and Market Risk Data Science team is a dynamic group of data scientists and analytics developers who deliver high-quality financial metrics and advanced analytics that drive key decisions at Wealthsimple. We support financial planning, treasury operations, liquidity management, and brokerage risk assessment for products like margin trading and options. Our team has created a solid foundation for data-driven financial decision-making. Now we're ready to scale these initiatives, optimizing financial resources and enhancing risk management as our product offerings grow increasingly sophisticated. In this role, you'll make a significant impact through advanced analytics that support both strategic financial planning and sophisticated market risk management across our expanding brokerage services. IN THIS ROLE, YOU WILL HAVE THE OPPORTUNITY TO: - Own the development and maintenance of the finance and market risk data marts, optimizing for performance, data quality, reliability, and efficiency - Design, build, and document robust data pipelines that generate critical financial reports and metrics for stakeholders across the organization - Build, automate, and maintain brokerage reporting & monitoring systems, ensuring data integrity and accuracy across financial processes - Partner closely with business stakeholders in brokerage and market risk to launch and support new financial products and model development initiatives - Create insightful dashboards and visualizations to monitor brokerage KPIs, profitability metrics, and regulatory reporting requirements - Provide business intelligence support for trade and collateral monitoring, financial reporting, product performance analysis, and forecasting initiatives - Translate complex business requirements into scalable analytics solutions that address key financial and risk management needs - Participate in code reviews and contribute to best practices for data engineering and analytics development - Mentor junior team members and share knowledge to elevate the team's technical capabilities WHAT YOU BRING: - 5+ years of experience in data engineering or analytics development, with demonstrated expertise in data mart architecture, design, and management - Strong proficiency in SQL with the ability to write complex queries, optimize performance, and work with large-scale datasets - Experience working at brokerage operations or financial services, with knowledge of accounting principles and market risk concepts (preferred) - Familiarity with regulatory reporting requirements and financial product structures (a plus) - Hands-on experience building and orchestrating data pipelines using modern tools such as dbt, Airflow, or similar workflow management platforms - Working knowledge of cloud infrastructure, particularly AWS services (S3, Redshift, Snowflake or equivalent) - Proficiency in Python for data manipulation, automation, and scripting - Experience with version control systems, particularly Git and GitHub, including branching strategies, pull requests, and code reviews - Proven ability to translate complex business requirements into scalable, data-driven solutions - Strong data visualization skills with experience using tools such as Tableau, Looker, Power BI, or similar platforms - Understanding of analytics engineering principles and best practices for building maintainable, well-documented data models - Excellent communication and interpersonal skills, with the ability to explain technical concepts to non-technical stakeholders - Demonstrated ability to collaborate effectively with cross-functional teams, including finance, risk, and product teams WHY WEALTHSIMPLE? 🌸 Top-tier health benefits and life insurance 📈 Long-term group savings with employer match, through Wealthsimple for Business 🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year* ✈️ 90 days away: work outside Canada for up to 90 days per year* 👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS 🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work. *Unlimited paid sick days, Wellness Days and the 90 day away program do not apply to certain roles. ICYMI Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building. Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs. AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.

Location: Kazakhstan; Kyrgyzstan; Uzbekistan Workplace: Hybrid Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines. We combine global fintech expertise with deep local market knowledge to make financial services simple, accessible, and useful for millions of people across the region. 7M+ app downloads. 2M+ monthly active users. 7,000+ partner stores. US$310M+ raised from leading global investors. Manila-based, globally distributed, and hybrid-first — our team spans 45+ countries. If you want to solve complex problems at scale and impact how millions of people access and manage money, come build with us. Southeast Asia's fintech moment starts here. About the role You'll build and own the data pipelines and lakehouse architecture that turn raw data into reliable inputs powering products used by millions of people. What you'll do - Design and run batch and streaming pipelines on Databricks and Apache Spark over AWS, ingesting from databases, APIs, and event streams. - Shape our lakehouse architecture on S3 and Delta Lake, including medallion (Bronze / Silver / Gold) layering and storage optimization. - Work directly with analytics, engineering, and product teams to turn raw data into reliable, usable inputs for the business. What you'll own - Own projects end to end — from stakeholder alignment and design review through implementation, launch, and ongoing support. - Build self-service data solutions that let other teams deliver their own data needs, designed to scale and extend easily as new sources and use cases are added. - Build and maintain scalable ETL/ELT pipelines that are fault-tolerant and cost-optimized. - Optimize Spark jobs end to end — cluster sizing, caching, joins, shuffles, partitioning, and storage formats (Parquet, Delta). - Manage Databricks Workflows, jobs, cluster configurations, and the underlying infrastructure — security policies, resources, and access — responding to failures and performance issues. - Implement data governance and access control with Unity Catalog across accounts and environments, including handling of PII. What makes you a strong fit - Hands-on experience with Databricks and strong proficiency in Apache Spark (PySpark and/or Scala). - Strong Python for data engineering, plus SQL and Spark SQL for transformation and analytics. - Experience with Delta Lake and lakehouse architectures, including performance optimization. - Proven ownership — you've run projects where you knew the weak points, gathered feedback, and made your solutions easy to scale and maintain. - Experience writing clean, testable, maintainable code with Git-based version control. - Experience with infrastructure-as-code such as Terraform or Ansible is a plus — not required, and easy to pick up on the job. What we offer Build what's next in Southeast Asian fintech. Ownership and flexibility - Stock option plan — four-year vesting with a 25% cliff after the first year - Hybrid-first, with fully remote work available for eligible roles and core collaboration hours from 12:00 to 19:00 Manila time (UTC+8) - Company-provided tools and equipment - Office in Bonifacio Global City, Manila — a modern, walkable district at the centre of the Philippines' growing tech scene Health and time off - Medical insurance support for you and your family through co-funding or reimbursement, depending on your location and subject to policy limits - Access to an internal mental health support specialist - 22 vacation days, Philippine public holidays, and 15 sick days - 105 days of paid maternity leave and up to 14 days of paid paternity leave for employees relocating to Manila Relocation and family support - Relocation support for you, your family — including flights, two weeks of accommodation, visas, paperwork, and logistics - Reimbursement of eligible pet relocation expenses - US$2,500 per year for flights home - Baby and family stipends for employees relocating to Manila: US$1,000 per month for each child under two and US$500 per month for each child aged two to 18 Growth and team experience - Opportunities to learn and share your expertise through internal expert meetups, external conferences, speaking opportunities, and industry publications - Company-sponsored trips to Manila to meet and work with your team in person - Regular team offsites, sports activities, and team events - High-performing teams can earn a dedicated beach house week in Southeast Asia Considering a move to Manila? See what life with Salmon looks like https://www.youtube.com/watch?v=nYQLKhuZHIE&t=34s

Задачи: — Проектировать и разрабатывать Python-сервисы и REST API платформы; — Строить и поддерживать конвейеры обработки данных; — Разрабатывать интеграции с внутренними источниками данных; — Реализовывать поисковые и AI-ориентированные рабочие процессы на платформе; — Создавать инструменты для измерения и поддержания качества системы; — Отвечать за развертывание и эксплуатацию сервисов при запуске; — Участвовать в планировании дорожной карты и архитектурных решениях. Требования: — Владение Python; — Опыт создания backend-сервисов и проектирования REST API (FastAPI / Django REST / Flask); — Опыт работы с реляционными базами данных (PostgreSQL / MySQL); — Опыт работы с очередями и фоновыми задачами (Celery / RabbitMQ / Kafka); — Знание Redis (кэширование, очереди, pub/sub); — Интеграции с API третьих сторон: REST, OAuth, webhooks; — Опыт работы с Docker, S3-совместимым хранилищем; — Культура тестирования (pytest), workflow PR/code review, понимание CI/CD и наблюдаемости; — Будет плюсом: системы RAG, embeddings, векторные базы данных (pgvector); — Работа с LLM API (Anthropic, OpenAI): prompting, tool calling; — Фреймворки агентов (LangChain, LlamaIndex, LangGraph); — Фреймворки оценки LLM (RAGAS, deepeval); — Инструменты быстрого прототипирования AI (Streamlit, Gradio); — Современные инструменты Python (ruff, uv, pyproject.toml, pyright). Условия: — Конкурентная компенсация; — 100% компенсация отпусков и больничных; — 12 дополнительных оплачиваемых выходных в году; — Бюджет на личное образование, языковые курсы и спорт; — Участие в конференциях отрасли; — Отсутствие бюрократии и поддерживающая, прозрачная культура.

Задачи: — Проектирование, разработка и сопровождение ETL/ELT-пайплайнов с использованием Snowflake и SQL — Управление облачной инфраструктурой на AWS (S3, Glue, Lambda, CloudWatch, IAM) — Написание чистого и поддерживаемого кода на Python — Автоматизация развертывания и настройки инфраструктуры через Terraform — Оркестрация рабочих процессов с помощью Apache Airflow — Мониторинг и устранение неполадок в пайплайнах, контроль качества данных и производительности систем — Совместная работа с дата-сайентистами, аналитиками и разработчиками для создания масштабируемых решений Требования: — 5+ лет коммерческого опыта в Data Engineering или смежных областях — Глубокие знания Snowflake и продвинутый уровень владения SQL — Реальный опыт работы с AWS (S3, Glue, Lambda, CloudWatch, IAM) — Уверенное владение Python для обработки данных и автоматизации — Практический опыт использования Terraform (инфраструктура как код) — Опыт работы с Apache Airflow для оркестрации пайплайнов — Отличные коммуникативные навыки и английский язык уровня C1 — Способность работать самостоятельно в распределённой команде Будет плюсом: — Опыт интеграции и разработки REST API — Знание CircleCI или других CI/CD-инструментов — Опыт работы в полностью удалённых международных командах — Понимание принципов управления данными и безопасности Локация: Удалённо (предпочтительно за пределами РФ и РБ, желательно страны Латинской Америки или Канада) График работы: по восточному времени США (EST) до 17:00, с привязкой к американскому рабочему календарю. Уровень английского языка: C1 (продвинутый профессиональный)

Location: London 500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating. Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down. With 7M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better. The job About the role You’ll help Flo build a trusted, secure, audit-ready platform for the millions of people who use our women’s health app. You’ll support our SOC 2 Type II and ISO 27001 programs and help implement HIPAA safeguards, all within Flo’s integrated Information Security and Privacy Management System (ISPMS). This is a hands-on role. It needs strong applied security architecture skills, especially secure design reviews and technical control validation across AWS (EKS, Lambda, RDS, S3, VPC, IAM, KMS). You’ll work with our professional services partners, auditors, the Security team, and the Privacy, Product and Platform Engineering teams. Together you’ll design controls that reduce friction, so the business can move fast and stay secure. What you’ll do Support SOC 2 and ISO 27001 certifications and HIPAA safeguard implementation, and act as a point of contact for external auditors. Define and maintain security policies, standards and procedures. Help control owners put controls into practice and automate evidence gathering for audit readiness. Run technical design reviews and architectural risk assessments for AWS services, including data flows that handle PHI. Work with Engineering to harden AWS workloads (EKS, EC2, data pipelines) against industry best practices. Improve Flo’s security risk management framework, and track and report risks to leadership. Contribute to vendor risk management, including contract reviews and security assessments. Roll out security training and awareness campaigns. What you’ll bring 7+ years in security architecture, compliance or risk management. A degree in a related field is a plus. Hands-on experience with ISO 27001 and/or SOC 2 in a cloud-based SaaS environment. Familiarity with security controls for sensitive data. Experience with GRC and compliance automation platforms. The ability to manage several audit workstreams at once. Excellent communication skills, and the ability to turn compliance requirements into clear actions for engineering and business teams. Nice to have Working knowledge of the HIPAA Security Rule and PHI handling (highly valued). CISA, CISM or CISSP certification. Experience with NIST 800-53, CSA, CIS or HITRUST. A background in healthcare or another regulated industry. Experience building compliance roadmaps at a startup. Exposure to Kubernetes/Docker, serverless, big data platforms or DevSecOps. Experience with Agile delivery and vendor management. Annual Salary Range (ranges may vary based on skills and experience) £100,000 — £130,000 GBP How we work We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar. You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it. What you'll get We support impact with meaningful reward. Here’s what that looks like: Competitive salary and annual reviews Opportunity to participate in Flo’s performance incentive scheme Paid holiday, sick leave, and female health leave Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents Accelerated professional growth through world-changing work and learning support In-person collaboration and work in a hybrid model, with 3 days per week spent in the office 5-week fully paid sabbatical at 5-year Floversary Flo Premium for friends & family, plus more health, pension and wellbeing perks Diversity, equity and inclusion Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our privacy notice for job applicants .

Задачи: — Создавать Kubernetes-операторы для управления жизненным циклом ресурсов. — Разрабатывать публичное API платформы и внутренние сервисы на Go. — Участвовать в полном цикле SDLC: от проектирования до эксплуатации и мониторинга. — Реализовывать оркестрацию компонентов платформы и интеграцию с внешними системами. — Обеспечивать бесперебойную работу облачной платформы и развивать инструментарий поддержки. Требования: — Опыт разработки на Golang от 4-5 лет. — Опыт работы с Kubernetes и написания k8s-операторов. — Глубокое понимание работы с PostgreSQL, Redis, NATS, S3. — Навыки администрирования Linux и понимание сетевых основ (L2/L3, TCP/IP). — Опыт проектирования распределенных систем. Условия: — ДМС со стоматологией с первого дня работы. — Компенсация психологических консультаций и 50% оплаты фитнеса. — Оплата обучения английскому языку и разговорные клубы. — Возможность участия в профессиональных конференциях. — Развитая корпоративная культура: спортивные турниры, киновечера, настольные игры.

Data Analyst (LTV / Predictive Analytics) StellarTech is a B2C mobile publisher in EdTech: subscription apps, in-app monetization and performance marketing at scale. LTV prediction is how we decide where to invest, and the forecasting pipeline is already live. We are opening this role to have one senior analyst own its accuracy and its evolution. This is research and predictive analytics, not reporting: everything that can be standardised is already automated by Data Engineering, so the work is hypotheses, factor analysis and improvements to the prediction algorithm itself. You report to the Head of the Operational Department and work directly with Product, UA, Finance and Data Engineering. What you will do Own and develop the LTV prediction algorithm: find the parameters and factors that increase forecast accuracy, prototype improvements in SQL, measure the gain, then hand the logic over to Data Engineering. Validate forecasts on closed cohorts, monitor forecast quality over time and explain where exactly a model deviates from actual LTV. Research what moves LTV: product features, segments, purchase sources (for example, purchases coming through CRM vs other sources), and adapt the prediction logic to them. Run analytical research end to end, from a vague question to a documented recommendation for Product, UA and Finance: where payback improves, where to concentrate media buying, what changes unit economics at company level. Automate analytical routines and model quality monitoring together with Data Engineering. Requirements Critical 4+ years in Data Analyst / Senior Data Analyst / Product Analyst roles with a product analytics focus: measuring the impact of factors on business metrics, not marketing attribution. Strong SQL: complex queries, window functions, optimisation. Here SQL is the main instrument for prototyping and testing the algorithm. Solid mathematical statistics and understanding of how ML models work: you can build and validate a forecast, judge model quality (MAE, RMSE, MAPE, R2), run factor analysis and explain where a model broke. Product background with in-app monetization and its economics: LTV, cohorts, retention, ROI, CAC, ARPU, payback. Subscriptions are ideal; other in-app B2C models also work. Ad-only monetization is a different pattern and is not a fit. A proven end-to-end pattern: you take a vague question, form a hypothesis, dig into it and bring it to a recommendation. There is no micromanagement here and almost no standard tasks. Ability to back conclusions with data and to communicate them to both technical and business stakeholders. Non-critical Python (pandas, numpy, scikit-learn) for analysis and modelling: welcome, but not a blocker if the statistical and analytical thinking is there. A/B testing and statistical hypothesis testing. BI tools (Tableau, Looker, Power BI). Cloud DWH and large data volumes (Athena, BigQuery, Snowflake, Redshift or similar). Will be a plus Feature engineering and model interpretation (SHAP, feature importance). Mobile products, gaming or subscription businesses. Our stack: Amazon Athena, S3-based DWH, CatBoost, Tableau, Git, Jupyter. Why You'll Love Working With Us Impactful Work: Your contributions will directly shape the future of our company. Innovative Environment: We're all about trying new things and pushing the envelope in EdTech. AI solutions Wealth: We offer a competitive salary. Balance: Flexible paid time off, you get 21 days of annual leave + 10 bank holidays. Collaborative Culture: Work alongside passionate professionals who are as driven as you are. Hiring process Intro call with the recruiter. Technical interview: SQL, statistics and ML fundamentals, plus an analytical case on how you build a plan to investigate a problem. Final interview with the department head. Optionally, a 30-minute culture fit conversation with HRBP. If this is the kind of work you want to own, send us your CV. We will come back to you with the next step.

Location: Remote; New York Workplace: Remote Patreon is a media and community platform where over 300,000 creators give their biggest fans access to exclusive work and experiences. We offer creators a variety of ways to engage with their fans and build a lasting business including: paid memberships, free memberships, community chats, live video, and selling to fans directly with one-time purchases. Ultimately our goal is simple: fund the creative class. And we're leaders in that space, with: - $10 billion+ generated by creators since Patreon's inception - 100 million+ free memberships for fans who may not be ready to pay just yet, and - 25 million+ paid memberships on Patreon today. We're continuing to invest heavily in building the best creator platform with the best team in the creator economy and are looking for a Staff Software Engineer, Data Infrastructure to support our mission. This role is remote, with optional in-person attendance in either the New York or San Francisco office. About the Team The Data Foundations team at Patreon builds the pipelines, models, and infrastructure that power both customer-facing and internal data products. The Data Infrastructure function within the team owns the foundational platform — streaming, batch, and data lake infrastructure — that every data pipeline, analytics workload, and ML system at Patreon runs on. You'll join a small, high-craft team that partners across Product, Data Science, Infrastructure, and the rest of Engineering to make sure the platform underneath all of that work is reliable, scalable, and easy for other engineers to build on. About the Role - Architect, build, and operate large scale batch and streaming platforms that directly power Patreon product features, analytics, and experimentation. - Stand up and scale event-driven and streaming systems (Kafka, Kinesis, PubSub, or similar) for real-time data ingestion, transformation, aggregation, and delivery to different data storage systems. - Build self-serve data platforms that let engineers, data scientists, and analysts safely discover data, define contracts, and create and operate pipelines with minimal friction. - Partner with the broader Infrastructure, Platform, and product engineering to drive architectural decisions across storage, compute, deployment, and orchestration to align the data ecosystem with Patreon’s roadmap. - Build the tooling, monitoring, and observability that gives engineers confidence in the data platform's reliability and performance. - Mentor other engineers on infrastructure and streaming best practices, and help shape the long-term data infrastructure roadmap. What you'll need: - 8+ years of software engineering experience, including 4+ years focused on data or platform infrastructure. - Deep, hands-on experience architecting both batch (Airflow, Dagster, or similar) and stream processing systems at scale (Spark, Flink, Kafka Streams, or similar). - Familiarity with data quality, lineage, observability, and governance tooling. - Strong programming skills in Python (Java, Scala, or Go a plus) and SQL. - Familiarity with cloud infrastructure and broad fluency across data stores: Object storage (S3), RDMS (MySQL, or Postgres, etc.), Key value (DynamoDB), OLAP (Clickhouse, Pinot, or Druid, etc.), search/indexing (Elasticsearch) plus data flow patterns for keeping them in sync with source systems. - Excellent collaboration and communication skills; comfortable driving cross-functional infrastructure decisions. - Bachelor's degree in Computer Science, Computer Engineering, or a related field, or the equivalent. Bonus if you have: - Experience with Delta Lake/Iceberg, AWS, or Databricks. - Contributed to open-source streaming or infrastructure tooling. - Experience supporting ML/AI workflows, training pipelines, or evaluation systems. We hire talented and passionate people from different backgrounds because workplace diversity and inclusion is critical to our ability to serve creators worldwide. If you’re excited about a role but your past experience doesn’t match with every bullet point outlined above, we strongly encourage you to apply anyway. If you’re a creator at heart, are energized by our mission, and share our company values, we’d love to hear from you. About Patreon Patreon powers creators to do what they love and get paid by the people who love what they do. Our team is passionate about making this mission and our core values come to life every day in our work. Through this work, our Patronauts: - Put Creators First | They’re the reason we’re here. When creators win, we win. - Build with Craft | We sign our name to every deliverable, just like the creators we serve. - Make it Happen | We don’t quit. We learn and deliver. - Win Together | We grow as individuals. We win as a team. Patreon is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class. If you need a reasonable accommodation during the interview process, please let us know via email at accommodations@patreon. Patreon offers a competitive benefits package including and not limited to salary, equity plans, healthcare, flexible time off, company holidays and recharge days, commuter benefits, lifestyle stipends, learning and development stipends, patronage, parental leave, and 401k plan with matching. Patreon operates under a hybrid work model, where employees based in office locations are expected to come into the office two days per week, excluding sick time and paid leave. The goal of this policy is to be intentional about the in-person time we spend together to strengthen the feeling of community at Patreon. Candidates hired into remote-eligible roles are not expected to meet the same requirements. At Patreon, we believe in fair and transparent pay. In compliance with New York and California pay transparency laws, we are sharing the expected salary range for this role. The posted salary range is dependent on the location and the level. This range may encompass multiple levels within the role’s job family. The final offer will be based on candidate’s experience, skills, competencies, and geographic location, aligning with the appropriate job level within Patreon’s leveling framework. For remote employees located outside CA and NY, salary may vary based on location and local market conditions. Patreon reserves the right to modify or update compensation and benefits at any time.

Задачи: — разворачивание новых web-сервисов в инфраструктуре компании; — поддержание высокой доступности этих highload web-сервисов; — ответственность за сохранность данных; — автоматизация процессов; — взаимодействие с командами разработки/PM/GM; — поддержка документации в актуальном состоянии. Требования: — администрирование (Linux/Unix) от 3-х лет; — умение дебажить проблемы (top, iostat, iotop, strace, ltrace, tcpdump/wireshark, traceroute, mtr и другие); — понимание стека tcp/ip, пакетные фильтры; — администрирование Kubernetes; — понимание контейнеризации (docker/lxc), умение писать Dockerfile; — умение создавать шаблоны в Helm; — владение любым скриптовым языком программирования (Python/Bash или другие); — знание систем управления конфигурациями (saltstack/ansible или другие); — опыт написания CI/CD пайплайнов в Gitlab-ci/Jenkins или другие; — базовое понимание и конфигурирование Nginx; — опыт администрирования реляционных баз данных (Mysql и Postgresql); — умение настраивать бэкапы баз данных, репликацию, навыки дебага баз данных, умение искать и анализировать медленные запросы; — знания английского языка на уровне чтения и понимания технической документации; — коммуникабельность, инициативность, самостоятельность. Будет плюсом: — понимание основ методологии SRE; — понимание основ методологии DevOps; — опыт администрирования ceph и radosgw (s3). Условия: — сложные и интересные задачи, быстрый рост и амбициозные цели перед проектом; — сильная команда специалистов по разным направлениям; — отличная рабочая атмосфера и отсутствие бюрократии; — возможность реализовывать собственные идеи на проекте, участвовать в разных этапах реализации проектов, проявлять инициативу и воплощать идеи в жизнь.

Location: Remote - Ireland 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 our next Software Engineer on Twilio’s platform engineering observability team. About the job This position is needed to help our platform engineering observability team. Twilio is undergoing a large-scale observability transformation—and you can help shape the foundation. Observability is a strategic pillar and a key enabler for faster incident response, deeper customer-centric insights, and more cost-effective platform operations. As a Software Engineer on the Platform Observability team, you’ll play a critical role in re-architecting how telemetry flows and is utilized through Twilio—making it structured, accessible, affordable, and actionable. Over the next 3 years, Twilio is rebuilding nearly every component of our observability platform, from data collection to real-time analytics. You will drive core initiatives that shift Twilio from fragmented tooling and wasteful data sprawl to a unified, OpenTelemetry-first observability stack built for scale. You’ll lead technically and strategically—designing platform components, influencing org-wide architectural decisions, mentoring engineers, and engaging directly with teams across Platform Engineering and R&D Responsibilities In this role, you’ll: Lead the end-to-end architecture and delivery of key observability platform components, with a focus on reliability, scalability, and usability. Drive consistency and quality across all observability signals—logs, metrics, traces, and continuous profiling—building intuitive workflows for engineers. Serve as a technical advisor and mentor across the platform org, guiding design decisions and aligning cross-team efforts with long-term architectural goals. Go deep in one or more problem areas (e.g., high-cardinality telemetry, distributed tracing correlation, compute cost insights), while ensuring the platform scales horizontally. Collaborate with product teams, SREs, and developer experience groups to deeply understand telemetry needs and integrate observability into core engineering workflows. Design and build developer-friendly tooling and APIs to support incident response, performance analysis, and platform debugging at scale. Leverage (and optionally contribute to) open-source standards like OpenTelemetry to ensure interoperability and extensibility. Champion a pragmatic approach to observability—balancing performance, cost, and user value across diverse engineering teams. 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: Proven expertise in building and scaling observability systems (e.g., logging platforms, metrics pipelines, tracing infrastructure, or profiling tools). Lead technical execution for major components of Twilio’s observability overhaul, including our shift to centralized S3-based data lakes, OpenTelemetry instrumentation, and ClickHouse-backed query engines. Proficiency in at least one modern programming language (e.g., Go, Python, Java). Familiarity with high-cardinality data challenges and telemetry correlation techniques. Experience designing high-scale telemetry systems (e.g., Prometheus, ClickHouse, OpenTelemetry, Kafka, or equivalent). Solid understanding of distributed systems and the challenges of observability in complex, microservice-based environments. Experience with AWS, Kubernetes, and infrastructure-as-code tools. Provide architectural guidance and thought leadership across teams, helping to establish clear telemetry standards, efficient usage patterns, and scalable platform abstractions. Ability to make forward-looking technical decisions and lead others through ambiguity and chan Desired: Familiarity with ClickHouse, Grafana Mimir, Athena, or equivalent systems for log and metrics querying. Contributions to open-source observability tools or communities. Experience building cost visibility or FinOps tooling for cloud compute and telemetry pipelines. Location This role will be remote from Ireland. 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. 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: Budapest The Wow This role sits at the heart of our real-time data platform, empowering teams to build, deploy, and scale data products that drive critical business decisions and customer experiences. You will design, develop, and operate the core platform capabilities that power streaming data pipelines, event-driven applications, and self-service data products. Working at the intersection of software engineering and data engineering, you will create scalable frameworks, tooling, and developer experiences that enable our teams to deliver reliable solutions with speed and confidence. A taster of what you will be involved with: Design and build scalable, reusable frameworks and services for data ingestion, transformation, and processing. Develop and maintain the platform's core capabilities, such as orchestration, data quality validation, and schema management tools. Evolve the platform's architecture to incorporate new technologies that improve scalability, reliability, and cost-effectiveness. Collaborate with Data DevOps Engineers to ensure platform features are automated, observable, and deployed via CI/CD. Act as a key contributor to the platform's roadmap, identifying and prioritizing features that unlock the most value for its users. What we are looking for: Must haves: University Degree in Computer Science, Engineering or equivalent. At least 3 years of hands-on experience building and operating real-time or event-driven data platforms and streaming applications. Strong software engineering fundamentals, with experience in a language like Python, Scala or Java. Experience building reusable frameworks, libraries, or internal tools. Deep knowledge of SQL and data integration patterns. Experience in modern cloud database technologies such as Snowflake or Redshift are considered an asset. Experience with data streaming technologies such as Kafka is a must. Strong experience building distributed data processing workloads using Apache Spark (PySpark and/or Scala). Hands-on experience designing and operating event-driven architectures on AWS, including services such as MSK, Kinesis Data Streams, EKS, EMR, Lambda, and EventBridge. Experience in NoSQL databases such as  HBase, Cassandra, and DynamoDB. Excellent verbal and writing English communication skills. Nice to have: Familiarity with real time reporting tools like Grafana or Datadog Familiarity with Data Modelling Concepts like Inmon, Kimball and Data Vault Knowledge AWS services like Glue, Lambda, Step Functions and S3 Experience with orchestrating data pipelines using tools like Airflow. Experience building or managing APIs and microservices. Familiarity with infrastructure scripting like Terraform and CI/CD practices. What we offer Fitness-wellness allowance 🧗‍♂️ Company mobile phone for private use with 100 GB 📱 Annual HUF devaluation compensation 💡 Hybrid model: 3 days in the office 🏢 & 2 days from home 🏠 Private Health Insurance 🩺 Career development 📈 Technical and soft-skill training opportunities 🎓 Breakfast, fruits & lunch 🍎 Team building events 🥳 Challenge accepted? By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

Location: Malta The Wow This role sits at the heart of our real-time data platform, empowering teams to build, deploy, and scale data products that drive critical business decisions and customer experiences. You will design, develop, and operate the core platform capabilities that power streaming data pipelines, event-driven applications, and self-service data products. Working at the intersection of software engineering and data engineering, you will create scalable frameworks, tooling, and developer experiences that enable our teams to deliver reliable solutions with speed and confidence. A taster of what you will be involved with: Design and build scalable, reusable frameworks and services for data ingestion, transformation, and processing. Develop and maintain the platform's core capabilities, such as orchestration, data quality validation, and schema management tools. Evolve the platform's architecture to incorporate new technologies that improve scalability, reliability, and cost-effectiveness. Collaborate with Data DevOps Engineers to ensure platform features are automated, observable, and deployed via CI/CD. Act as a key contributor to the platform's roadmap, identifying and prioritizing features that unlock the most value for its users. What we are looking for: Must haves: University Degree in Computer Science, Engineering or equivalent. At least 3 years of hands-on experience building and operating real-time or event-driven data platforms and streaming applications. Strong software engineering fundamentals, with experience in a language like Python, Scala or Java. Experience building reusable frameworks, libraries, or internal tools. Deep knowledge of SQL and data integration patterns. Experience in modern cloud database technologies such as Snowflake or Redshift are considered an asset. Experience with data streaming technologies such as Kafka is a must. Strong experience building distributed data processing workloads using Apache Spark (PySpark and/or Scala). Hands-on experience designing and operating event-driven architectures on AWS, including services such as MSK, Kinesis Data Streams, EKS, EMR, Lambda, and EventBridge. Experience in NoSQL databases such as  HBase, Cassandra, and DynamoDB. Excellent verbal and writing English communication skills. Nice to have: Familiarity with real time reporting tools like Grafana or Datadog Familiarity with Data Modelling Concepts like Inmon, Kimball and Data Vault Knowledge AWS services like Glue, Lambda, Step Functions and S3 Experience with orchestrating data pipelines using tools like Airflow. Experience building or managing APIs and microservices. Familiarity with infrastructure scripting like Terraform and CI/CD practices. What we offer Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 1700 strong, spread across 7 offices with 900 based out of our Malta HQ alone! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you’ll fit right in. Challenge accepted? By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

Location: Moldova OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy We’re looking for a Full Stack Developer to drive end-to-end solution delivery within our PMO department - leading a cross-functional team, shaping architecture, and ensuring high-quality, on-time releases. As part of our dynamic team, your responsibilities in this role will include: Drive the full product lifecycle – from rapid MVP scoping through maintainable production release Build responsive, well-crafted frontend components using modern frameworks Design and develop robust, scalable backend APIs and databases built for long-term maintainability Integrate and manage third-party APIs, ensuring seamless, reliable data flow Analyze data and build efficient data pipelines (strongly preferred) Collaborate with cross-functional teams to translate business requirements into clean technical solutions. Our ideal candidate possesses the following skills: Senior hands-on experience with modern frontend frameworks (React; Vue is a plus) Strong backend development skills, including API design and database management (PostgreSQL and/or MongoDB; Redis; S3) Strong command of Python and Node.js; experience building REST and/or GraphQL APIs Proficiency with AWS and Git; comfortable working with CI/CD pipelines Daily, practical use of AI coding assistants (Claude, Cursor, GitHub Copilot, or similar) with a disciplined workflow: you review and verify AI-generated code before merging, keep pull requests small and focused, and give and receive thorough code reviews Hands-on experience building with LLMs: prompt design, validating and evaluating model outputs, and monitoring and controlling usage costs Architecture-focused mindset: scalable systems, clean integration points, long-term maintainability Startup mindset: comfortable with ambiguity, fast iteration, and wearing multiple hats Set up and maintain engineering practices in the team: code review, small focused PRs, automated tests Experience with data/web scraping, MarTech, or SalesTech (highly desirable) Proficiency in Ukrainian and/or Russian language English proficiency at B2 level or higher. Nice to have: Data analysis and data pipeline experience. What we offer: Opportunity to shape the backbone systems of a modern, data-driven digital company A collaborative, innovation-first environment that values initiative and experimentation Reduced working hours on Fridays during the summer Schedule: Monday–Friday, 1 PM – 9 PM EET (including 1 hour break). Why join us? You’ll be at the intersection of technology, process innovation, and business growth – building systems that empower our teams to work smarter, faster, and more collaboratively. If you’re a strategic thinker who loves turning complexity into clarity and ideas into scalable solutions, we’d love to meet you. Hiring process: Interview with Recruiter Technical Interview Interview with Hiring Manager Offer. If you meet these criteria and are excited about contributing to our team, we encourage you to apply.