• Focus on areas such as Core Tech, Rendering, Gameplay, Animation, Tools, or Physics • Collaborate and share knowledge with teams • Converse with client studios • Add key experience to projects to become a leading expert for clients.

• Lead end-to-end development of mobile applications using React Native • Architect scalable, secure, and high-performance mobile solutions • Own technical solutioning and contribute to system design decisions • Collaborate closely with Product, Design, Backend, and DevOps teams throughout implementation and delivery • Partner closely with Product Owners during discovery and delivery to shape requirements, clarify technical tradeoffs, and influence roadmap decisions • Work effectively with US-based and remote team members across time zones • Conduct code reviews and enforce engineering best practices • Optimize application performance, stability, and responsiveness • Integrate APIs, third-party SDKs, and native modules • Participate in sprint planning, estimation, and delivery commitments • Plan and coordinate mobile releases across iOS and Android in partnership with Product, QA, and Backend teams • Monitor application health post-deployment, including crashes, performance metrics, and user-reported issues, and drive timely remediation • Be part of an on-call rotation • Mentor and guide junior and mid-level developers

• Write modular, documented and maintainable Pine Script code following best practices • Understand technical outlines for indicators and implement in Pine Script • Understand and implement trading concepts and strategies in Pine Script • Communicate with traders and non-technical people to successfully implement their ideas • Contribute to business strategy, prioritization, and product planning. • Serve as a technical voice in executive decisions and help define our technology roadmap

Business Area: Engineering Seniority Level: Mid-Senior level Job Description: At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises. The Data Platform Pillar is the bedrock of Cloudera’s technology, where we design and build the core components that let our customers store, manage, and process data with unmatched scalability, security, and performance. Cloudera is looking for an exceptional and passionate software engineer to join the Storage Engineering team focused on building Apache Ozone. The Storage team is responsible for the primary storage and storage access layers which are core to the Cloudera Data Platform. Apache Ozone (https://ozone.apache.org) is an open source project purposed to build a massively scalable distributed object store. Ozone is designed to scale to thousands of nodes, tens of billions of objects and overcome the limitations of the Hadoop Distributed File System (HDFS). As a Senior Software Engineer, you will: - You will be directly involved in the design and implementation of the core feature set of Apache Ozone and Apache Ratis (open-source RAFT implementation) - You will regularly contribute code and design docs to the Apache open-source community. - As part of storage engineering, you will support enterprise customers running 100s of petabytes-scale big data analytics and ML/AI pipelines. - You will partner with Engineering leaders, product managers, and cross-functional teams as a part of the Cloudera Data platform ecosystem in understanding requirements and turning them into a solid design and implementation, and facilitating integration and adoption. We’re excited about you if you have: - BS, MS, or Ph.D. in Computer Science - Masters +3 years or Bachelors +5 years of relevant industry experience - Strong backend engineering skill set with expertise in Java. Alternatively strong C++ skills with intermediate Java skills. - Hands-on programmer with a good knowledge of data-structures and CS algorithms. - Experience with system software design and development with an understanding of computer architecture, storage, network, and IO subsystems - Clean coding habits, attention to detail, and focus on quality - Good oral and written communication You may also have: - Experience with large-scale, distributed systems design and development with an understanding of scaling, replication, consistency, and high availability - Background in a distributed storage system including file systems, database storage internals, no-sql storage or distributed hash tables - Background in performance tuning, identifying performance bottlenecks, and implementing performance optimizations - Good understanding of Apache Hadoop - Recognized contributions to open source projects - Experience using projects in the Apache Hadoop ecosystem such as MapReduce, HBase, Hive, Spark etc. is a big plus - Understanding of Paxos, RAFT, or equivalent distributed consensus protocols. Why this role matters: You will tackle complex distributed systems challenges, crafting the foundational software for the control and data planes that powers CDP and keeps it running at massive scale. Working at the forefront of hybrid and multi-cloud technology, you will empower data scientists, engineers, and analysts with the tools and infrastructure they need for advanced analytics and modeling. Collaboration is key, you will work alongside brilliant minds across product, data science, and engineering to drive innovation, standardize best practices, and shape the future of enterprise AI and data platforms. This is your chance to build the future of data and see your work make a global impact. This role is not eligible for immigration sponsorship. What you can expect from us: - Generous PTO Policy - Support work life balance with Unplugged Days - Flexible WFH Policy - Mental & Physical Wellness programs - Phone and Internet Reimbursement program - Access to Continued Career Development - Comprehensive Benefits and Competitive Packages - Paid Volunteer Time - Employee Resource Groups EEO/VEVRAA #LI-SZ1 #LI-REMOTE