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Senior Analytics Solutions Architect Tokyo, JPN あなたはアナリティクス、ビッグデータ、データウェアハウス、検索、またはストリーミング分野のスペシャリストでしょうか？ データインジェストからリアルタイム処理、ストレージ、加工、検索、可視化に至るデータライフサイクル全体に知見をお持ちですか？ 生成AIやAIエージェントがデータプラットフォームの在り方を根本から変えつつある今、その変革の最前線で新しいアーキテクチャを切り拓くことに興味はありますか？ もしそうであれば、ぜひ一緒に働きましょう！ このポジションでは、スペシャリストソリューションアーキテクトとして、アナリティクス・検索・ストリーミングワークロードの構築・運用に関するベストプラクティスをお客さまに提供します。さらに、Agent-ready なデータプラットフォーム - AIエージェントが自律的にデータを検索・加工・分析し意思決定を支援する基盤 - の設計をお客さまと共に推進します。従来の BI/DWH に加え、生成AIを活用したセマンティック検索、自然言語によるデータ探索、RAG によるインサイト生成、リアルタイムストリーミングと AI の融合など、テクノロジーの急速な変化に真正面からチャレンジできる環境です。 アナリティクスの専門性を核としながらも、ML、セキュリティ、データベースなど隣接領域を横断する幅広い視点でお客さまの課題に向き合います。トラステッドアドバイザーとして、コスト最適化やパフォーマンスに加え、データガバナンス、AI/ML 連携、マルチモーダルデータ活用といった新しい次元のガイダンスも提供し、プロジェクトを前に進めます。 あなた自身の手で、クラウドネイティブかつ生成AIネイティブなリファレンスアーキテクチャを設計・構築し、ホワイトペーパー、ワークショップ、ブログ等を通じて広く技術コミュニティに発信します。日本のお客様を支援するのみならず、AWS のアナリティクス・検索・ストリーミング・生成AIサービスのロードマップへのフィードバックも継続的に行います。 テクノロジーの進化をチャンスと捉え、データとAIの融合がもたらす新しい価値をお客さまと共に創造する意欲があるなら、ぜひ私たちと一緒に未来を創っていきましょう！ Are you a specialist in analytics, big data, data warehousing, search, or streaming? Do you have expertise across the entire data lifecycle - from data ingestion, real-time processing, and storage to transformation, search, and visualization? At a time when generative AI and AI agents are fundamentally reshaping what data platforms can be, are you interested in pioneering new architectures at the forefront of this transformation? If so, let's work together! In this role, as a Specialist Solutions Architect, you will provide customers with best practices for building and operating analytics, search, and streaming workloads. Beyond that, you will partner with customers to design agent-ready data platforms - foundations that enable AI agents to autonomously search, process, and analyze data to support decision-making. This is an environment where you can take on the rapid pace of technological change head-on: from traditional BI/DWH to semantic search powered by generative AI, natural language data exploration, RAG-based insight generation, and the convergence of real-time streaming with AI. While grounded in deep analytics expertise, you will approach customer challenges with a broad perspective that spans adjacent domains such as ML, security, and databases. As a trusted advisor, you will provide guidance not only on cost optimization and performance, but also on new dimensions including data governance, AI/ML integration, and multimodal data utilization - driving customer projects forward. You will

Sr. Solutions Architect, Media, Entertainment, Games & Sports (MEGS) Seattle, Washington, USA The AWS Media, Entertainment, Games & Sports (MEGS) Solutions Architecture team, within AWS Industries, partners with the world's largest entertainment companies as embedded technical advisors and hands-on builders. We work across the full breadth of our customers' technology challenges from streaming infrastructure and distributed systems to data platforms, AI/ML, cloud-native development, and beyond, designing solutions at scale using AWS. We are seeking a Sr. Solutions Architect to partner with one of the largest engineering organizations in entertainment, building direct-to-consumer (DTC) streaming platforms, global ad technology, content distribution systems, and the cloud infrastructure that ties it all together. The workloads are wide-ranging: AI-driven personalization, media processing, big data pipelines, infrastructure automation, and generative AI. The ideal candidate brings hands-on distributed systems experience, deep fluency with cloud technology, and the learning agility to ramp quickly across diverse technology domains. Attitude and aptitude matter more than exhaustive expertise and the role provides ample opportunity to learn and develop new skills. Key job responsibilities - Customer Engagement: Work backwards from the customer to drive AWS adoption across use cases such as direct-to-consumer (DTC) streaming, ad technology, content distribution, and media processing workloads, building trusted relationships with senior leadership. - Systems Architecture & Design: Advise customers on architectural decisions for cloud-based media solutions spanning distributed systems, data pipelines, personalization, and content delivery. Run technical workshops and deep-dives with engineering teams. - Hands-On Development: Gather requirements, design solutions, and build working prototypes and proof-of-concepts

Multmedia Journalist/Reporter IL, Rock Island posted: Posted 14 Days Ago

Core Network Delivery Engineer POZZUOLI, Italy

Data Platform Engineering Manager United Kingdom, London, Canada, Portugal, Ireland, Brazil, Cyprus, Estonia, Romania, Peru, Panama, Spain, Slovenia, Czech Republic, Hungary, Mexico, Poland, Bulgaria Building the Future of Open Finance Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. Before you apply, we encourage you to explore our culture page to understand what drives us and how we work. The team Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. Kraken's Data Platform team builds the real-time infrastructure that powers decision-making across one of the world's largest digital asset exchanges. We operate at the intersection of streaming data, large-scale platform engineering, and AI-driven automation - processing billions of events daily across trading, compliance, and product systems. This role leads the team responsible for Kraken's streaming and data platform layer - designing systems that move, transform, and serve data in real time. You'll own the architecture around stream processing (RisingWave, Flink), drive adoption of AI-powered automation and workflows across the data stack, and build the platform primitives that the rest of engineering depends on. The opportunity - Lead and grow a

Senior Data Engineer Singapore posted: Posted Today

Backend Software Engineer — Data Platform & AI Data Products San Francisco About the Role You'll join the Data Platform team, responsible for building the backend services and “data products” that power how data moves through the company. We create the core platform primitives - high-quality event streams, reliable access layers, and developer-friendly APIs/tools - so teams across the org can self-serve what they need and ship faster. You'll contribute to backend services that create value from our company data, and help make our data platform more self-serve so product and engineering teams can easily create and operate event-driven architectures, publish/consume streams, define access models, and ship data products end-to-end. You'll also work on LLM-adjacent services such as prompt categorization/taxonomy, enrichment, and metadata systems that turn raw telemetry into trusted, usable products - with mentorship and support from experienced engineers. Responsibilities - Contribute to backend services that enhance the data platform's capabilities (APIs, control planes, automation, governance). - Help enable DIY workflows for teams across the company: - - Define/publish events and schemas - Create/consume streams and subscriptions - Establish access models (authz, row/field-level controls where applicable) - Manage dataset/catalog metadata, lineage, versioning, and retention - Contribute to end-to-end data products: ingestion → validation/quality → enrichment → serving (APIs/streams) → observability → adoption. - Work on prompt categorization and enrichment services: taxonomy design, labeling workflows, classifier/rules integration, evaluation, drift/quality monitoring, and safe rollouts. - Learn to own reliability: SLOs, alerting, performance/cost tuning, incident response, and postmortems. - Partner cross-functionally with

Software Development Manager, Media Foundations, Amazon Interactive Video Service (IVS) San Francisco, California, USA Amazon Interactive Video Service (Amazon IVS) is AWS's fully managed live streaming service, built on the same battle-tested technology that powers Twitch and trusted by thousands of enterprises across gaming, social, live commerce, sports, and entertainment. Our mission: enable developers to build communities around live video. We handle everything from ingest to processing to delivery at global scale, so developers can focus on creating interactive, engaging live experiences for their audiences. Whether you're streaming to tens of millions of concurrent viewers or just getting started, Amazon IVS removes the complexity so developers can move fast. We are looking for a Software Development Manager (SDM) for the Media Foundations team. The Media Foundation team is a center of excellence for streaming media processing (transmuxing, transcoding), codec technologies (H.264/AVC, H.265/HEVC, AV1), media formats (HLS, TS, FMP4), network protocols (E-RTMP, SRT, WebRTC), and media quality analysis (VMAF, PSNR). The team's C/C++/Go/Rust services process low-latency/real-time inputs and deliver packaged/real-time outputs for viewers/subscribers and recordings. As a Software Development Manager at Amazon IVS, you will collaborate deeply with peer managers, principal engineers, and product managers to iterate on the team's engineering road map, grow and manage talent, and dive deep into service design and architecture. This is a high visibility role with the opportunity to positively impact our most-critical customers and their businesses. Key job responsibilities - Define and execute technical strategies to deliver Amazon IVS features, balancing customer needs, business

Senior Software Development Engineer - Big Data and Spark Bucharest posted: Posted 30+ Days Ago

Data Engineer CAN - Richmond, Canada posted: Posted 4 Days Ago

Sr. Technical Program Manager, Fire TV Devices Organization Sunnyvale, California, USA Transform the future of home entertainment by joining our dynamic Fire TV devices team! As a Senior Technical Program Manager, you'll be at the epicenter of innovation, driving critical device launches that connect millions of users to their favorite content. Your strategic leadership and technical expertise will help shape streaming experiences that redefine how people interact with digital media. Key job responsibilities - Lead complex technical program initiatives across multiple teams, ensuring strategic alignment and successful device launches. - Develop comprehensive project plans that balance technical feasibility, user experience, and business objectives. - Facilitate cross-functional communication, translating technical requirements into actionable strategies. - Conduct rigorous data analysis to inform decision-making and optimize product development processes. - Champion user-centric design principles while maintaining technical excellence. A day in the life Imagine a role where your strategic vision meets hands-on technical execution. You'll collaborate across multiple teams, bridging software engineering, product marketing, and customer experience to deliver seamless streaming solutions. Your day might involve deep-dive technical discussions, cross-functional planning sessions, and crafting innovative strategies that push the boundaries of connected device technology. About the team We are a passionate, collaborative team dedicated to revolutionizing home entertainment. Our mission is to create intuitive, delightful streaming experiences that delight users worldwide. By joining us, you'll work alongside talented professionals who are committed to continuous innovation and solving complex technical challenges. Basic Qualifications: - 7+ years of working directly with engineering teams experience -

Machine Learning Engineering Manager 14 Locations posted: Posted Yesterday

SHAW ARP TALKPUSH 2026 PHL Mandaluyong City - Shaw posted: Posted 30+ Days Ago

Senior Business Insights Analyst San Francisco, CA or remote within the U.S. Philo: a streaming service for TV and movie lovers Philo is building a modern TV company that combines high-quality streaming technology with a clear point of view on value, simplicity, and the viewing experience. Our product now spans paid subscription plans, premium bundles, add-ons, and a growing free-channel experience - creating a business that sits at the intersection of product, content, subscriptions, billing, and a rapidly changing media landscape. That mix creates unusually rich analytical problems. At Philo, strong business judgment matters just as much as technical depth: the best work helps leaders understand what is happening in the business, why it is happening, and what to do next. Data and Business Insights at Philo Data underpins nearly every important decision at Philo. The company operates in an event-rich environment with large-scale behavioral, subscription, billing, and content data that inform work across acquisition, retention, product experience, streaming quality, pricing, content discovery, and long-term customer value. Philo's data organization spans data science, data engineering, analytics engineering, and business-facing analytical partners who work closely with Finance, Product, Growth, Lifecycle Marketing, Content, Customer Experience, Operations, and other teams. As Philo continues to evolve its plan structure across paid plans, free channels, and add-ons - and as customers interact through both direct and partner billing experiences - trusted business insights become even more important. The Role We're looking for a Senior Business Insights Analyst to help Philo make better, faster decisions through

Senior Software Development Engineer in Test Multiple Locations Senior Software Development Engineer in Test Multiple Locations Posted Wednesday, May 13, 2026 Summary: The Cosm Engineering team develops technology to deliver best-in-class experiences in our digital and live-streaming products. We are looking for a talented Senior Software Development Engineer in Test to help ensure quality and user experience across various platforms. We expect our engineers to be versatile, display leadership qualities, and be enthusiastic when taking on new problems across the full stack as we continue to push technology forward. Responsibilities: Architect, build, and maintain scalable automation frameworks for consumer-facing apps, internal tools, and immersive streaming platforms. Develop automated tests for APIs, mobile, web, and emerging immersive applications, emphasizing performance, security, and user experience. Collaborate with product managers and QA teams to prioritize and integrate high-impact tests into development cycles. Lead code reviews on pull requests, mentor peers, and enforce quality standards. Partner cross-functionally with design, product, and engineering teams to identify risks and enhance overall UX. Proactively spot quality issues, optimize testing pipelines, and leverage CI/CD for faster, reliable deliveries. Experience: Bachelor's degree in Computer Science, Engineering, or equivalent. 6-8 years of hands-on experience coding and building automation frameworks, ideally in high-traffic digital, streaming, or entertainment environments Strong proficiency in TypeScript, JavaScript, or similar languages for robust test scripting. Proven track record with frameworks like WebdriverIO, Appium, Cypress, or equivalents. Expertise in testing libraries such as Mocha.js, Jest, or similar. Familiarity with cloud testing services like BrowserStack, LambdaTest, or Sauce

Cell Leader - 3rd Shift/Overnight (Onsite) US-ME-NORTH BERWICK-113 ~ 113 Wells St ~ WELLS, Rte 9 posted: Posted Yesterday

Analytics Team Lead 10 Locations posted: Posted 30+ Days Ago

Backend Engineer San Francisco | Hybrid | Remote Our backend is the critical infrastructure that powers a modern network-as-a-service platform. It's a high-stakes, always-on system where reliability isn't optional-it's existential. As a Backend Engineer at Meter, you'll build production systems that can never go down, wrangle billions of real-time data points, and architect solutions that scale across cloud infrastructure. The impact you'll drive - Design and maintain production-critical systems where downtime directly impacts customer operations-bugs and architectural shortcuts aren't an option - Solve challenging data problems at scale: indexing and querying billions of telemetry data points while maintaining real-time performance - Build container-native architecture that scales across geographic regions in a multi-tenant environment - Partner with frontend engineers to power real-time dashboards and data visualizations from streaming telemetry - Create APIs and tooling that enable both customer integrations and internal velocity What your craft looks like You'll work on hard engineering problems that sit at the intersection of distributed systems, real-time data processing, and cloud infrastructure. We build primarily in Go and our stack includes Postgres, Kafka for streaming data, ClickHouse for warehousing massive telemetry datasets, and GraphQL for flexible integrations. We deploy cloud-native, containerized services across AWS and Azure. Current technical challenges include: optimizing our ClickHouse cluster as telemetry volume grows, evolving our multi-tenant architecture for global deployment, security hardening across the stack, and maintaining sub-second latency for real-time data streams. What makes this role unique: you'll work in a fully integrated organization where backend, firmware, and hardware engi

DevOps Service Engineer - MCCM Ankara, Ankara, Türkiye

Sr Software Engineer Texas About the Role Forward is scaling fast, and we need senior engineers who can grow with the platform - not just build features, but harden, secure, and extend the system. This role is a core contributor on our engineering team. You'll ship full-stack product work, build agentic AI systems that automate complex workflows, and own meaningful parts of the platform as we scale it from where it is today to where it needs to be. You will work cross-functionally with product, design, and engineering leadership to translate ambiguous business problems into well-scoped technical solutions. We need someone who sees the gaps, fills them, and doesn't wait to be asked. Key Responsibilities Full-Stack Product Engineering Architect, build, and maintain full-stack applications using TypeScript, Next.js, React, and Node.js across our product surface area. Own end-to-end feature delivery from database schema and API design through frontend UI/UX, including observability, testing, and deployment. Drive architectural decisions across the stack, balancing speed with long-term durability. Agentic AI & LLM Integration Design and implement agentic AI systems - autonomous agents that plan multi-step workflows, use tools, call APIs, and make decisions with minimal human oversight. Lead the integration of LLM-powered capabilities into production systems - prompt engineering, tool-use frameworks, retrieval-augmented generation (RAG), and multi-agent orchestration. Stand up and evolve AI platform infrastructure as the roadmap matures - model serving, orchestration, and evaluation pipelines. Streaming & Real-Time Data Build and operate real-time streaming data pipelines using Kafka (or Kafka-compatible platforms like WarpStream), stream

Technology Lead Infosys is seeking an experienced Spark Scala Developer to design, develop, and optimize scalable bigdata solutions. The candidate will work on building high-performance batch and real-time data pipelines leveraging the Hadoop ecosystem and distributed computing frameworks(Spark). The role involves working closely with data engineers, architects, and business stakeholders to deliver robust, scalable, and efficient data processing systems. Required Qualifications: - Candidates authorized to work for any employer in Canada without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time. - Candidate must be located within commuting distance of Mississauga, Ontario or be willing to relocate to the areas. - Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. - At least 4 years of Information Technology experience - 4+ years of experience in Big Data technologies. - Strong expertise in: - Apache Spark (Core, SQL, DataFrames, RDDs) - Scala programming - PySpark - Hands-on experience with: - Kafka (real-time streaming) - Hadoop ecosystem (HDFS, Hive, Impala) - NoSQL Databases (HBase, MongoDB, Couchbase) - Strong understanding of distributed computing concepts and data processing frameworks. - Experience in building ETL/data pipelines for large-scale datasets. - Proficiency in SQL and data modeling. Preferred Qualifications: - Hands-on experience with data lakes, data warehouses, and scalable ETL pipeline design, including batch and real-time processing architecture. - Strong understanding and practical exposure to Agile

UX Designer, Monetization San Francisco, California, USA If you are interested in this position, please apply on Twitch's Career site https://www.twitch.tv/jobs/en/ About Us: Twitch is the world's biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We're about community, inside and out. You'll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We're on a quest to empower live communities, so if this sounds good to you, see what we're up to on LinkedIn and X, and discover the projects we're solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Role Designers on the Monetization team work across the full product lifecycle-from early concept and opportunity exploration through launch and ongoing iteration. You will collaborate closely with product managers, engineers, and data partners to design thoughtful monetization experiences that balance business goals with creator and viewer trust. Success in this role requires strong systems thinking, experimentation mindset, and a deep care for the people who power Twitch's communities. If you are passionate about designing revenue experiences that empower creators, strengthen communities, and feel intuitive and fair for users, you will thrive on this team. You can work from Twitch's headquarters in San Francisco, CA; or from one of our hub locations in Seattle, WA; Irvine, CA; or New York City, NY You

Software Dev Engineer III, Amazon Interactive Video Service (IVS) San Francisco, California, USA Amazon Interactive Video Service (Amazon IVS) is AWS's fully managed live streaming service, built on the same battle-tested technology that powers Twitch and trusted by thousands of enterprises across gaming, social, live commerce, sports, and entertainment. Our mission: enable developers to build communities around live video. We handle everything from ingest to processing to delivery at global scale, so developers can focus on creating interactive, engaging live experiences for their audiences. Whether you're streaming to tens of millions of concurrent viewers or just getting started, Amazon IVS removes the complexity so developers can move fast. As a Software Dev Engineer III on Amazon IVS' Real Time Video team, you will design and build the systems that power real-time and sub-second video distribution at massive scale. You will work deep in the stack to ensure low-latency, high-reliability delivery for millions of concurrent viewers. You'll collaborate with a team of engineers who care deeply about performance, correctness, and scale, and you'll have the opportunity to shape the architecture of next-generation streaming infrastructure. Key job responsibilities - Design, implement, and optimize high-performance WebRTC distribution components capable of handling millions of concurrent viewers with sub-second latency. Work at the packet level to diagnose, tune, and improve transport behavior across UDP and TCP-based protocols, ensuring optimal video quality and reliability. - Collaborate with cross-functional teams to define and evolve the architecture of real-time media delivery infrastructure. Drive technical decisions that balance scalability,

Full Stack Engineer - Audiobooks London Spotify for Authors (SFA) is the creator platform for the audiobook industry - a web application that gives publishers, authors, and narrators tools to manage their catalog, track performance, and distribute content on Spotify. We're scaling toward 100,000 users across a React/TypeScript frontend, Java backend services, and data pipelines that feed into Spotify's broader audiobook ecosystem. SFA connects to Spotify's highest-priority bets: expanding audiobook access, building content creation tools, and shaping discovery surfaces. We operate with a "short toes" philosophy - contribution has no borders, quality is shared, and we use modern tools (including AI) to reduce toil and amplify creativity. Spotify for Authors (SFA) is the creator platform for the audiobook industry - a web application that gives publishers, authors, and narrators tools to manage their catalog, track performance, and distribute content on Spotify. We're scaling toward 100,000 users across a React/TypeScript frontend, Java backend services, and data pipelines that feed into Spotify's broader audiobook ecosystem. SFA connects to Spotify's highest-priority bets: expanding audiobook access, building content creation tools, and shaping discovery surfaces. We operate with a "short toes" philosophy - contribution has no borders, quality is shared, and we use modern tools (including AI) to reduce toil and amplify creativity. What You'll Do - Build and evolve features end-to-end across a React/TypeScript frontend and Java backend services that power the SFA platform at scale - Use AI-assisted development tools as a core part of your workflow for code generation, automated testing, and