About careerzynith careerzynith is a global leader in digital entertainment, delivering streaming content to millions of subscribers across more than 190 countries. With a portfolio that now includes movies, series, documentaries, and interactive gaming experiences, careerzynith is redefining how audiences engage with entertainment. Our mission is to bring joy to every corner of the world by leveraging cutting‑edge technology, data‑driven insights, and a relentless focus on user experience. As a remote‑first organization, careerzynith empowers talent from any U.S. location to collaborate, innovate, and shape the future of entertainment without ever leaving their home office. Role Overview careerzynith is seeking a seasoned Distributed Systems Engineer (L4) – Data Platform to join our high‑impact Data Infrastructure teams. In this role, you will design, build, and operate large‑scale, fault‑tolerant data services that power the core experiences of millions of users worldwide. You will work closely with product managers, software engineers, and technical program managers to translate ambitious business goals into robust, scalable data solutions. This is a fully remote, full‑time position based in the United States, offering a competitive hourly rate of $28 and a vibrant, collaborative culture. Key Responsibilities Architect, develop, and maintain distributed data platforms that support sub‑millisecond query latencies for careerzynith microservices. Design and implement highly available, horizontally scalable storage and processing pipelines that handle petabyte‑scale data volumes. Collaborate with cross‑functional teams to define data models, APIs, and service contracts that enable seamless data consumption across the organization. Drive performance optimization initiatives, including query planning, indexing strategies, and caching mechanisms, to meet stringent latency SLAs. Contribute to careerzynith’s open‑source ecosystem by publishing libraries, tools, and best‑practice documentation for the broader community. Lead incident response and root‑cause analysis for production issues, ensuring rapid remediation and continuous improvement. Mentor junior engineers, fostering a culture of learning, code quality, and shared ownership of data reliability. Participate in architecture reviews, technical design sessions, and roadmap planning to align data platform evolution with business priorities. Essential Qualifications Minimum 2 years of hands‑on experience building large‑scale distributed systems or data‑intensive applications. Strong proficiency in Java or another object‑oriented programming language (e.g., Kotlin, Scala, C#). Demonstrated experience designing, implementing, and operating high‑throughput data pipelines and storage solutions. Bachelor’s degree in Computer Science, Software Engineering, or a related technical field. Solid understanding of distributed systems concepts such as consensus algorithms, fault tolerance, and eventual consistency. Experience with modern data processing frameworks (e.g., Apache Flink, Spark, Beam) and query engines (e.g., Presto/Trino, Druid, Iceberg). Ability to work independently in a remote environment, managing time effectively and communicating clearly across distributed teams. Preferred Qualifications Advanced degree (M.S. or Ph.D.) in a quantitative discipline. Hands‑on experience with cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes, Docker). Familiarity with data lake architectures, columnar storage formats (Parquet, ORC), and streaming technologies (Kafka, Pulsar). Contributions to open‑source projects or a public GitHub profile showcasing relevant work. Experience with machine learning pipelines and feature stores, enabling data‑driven product innovation. Strong problem‑solving mindset with a track record of delivering production‑grade solutions under tight deadlines. Core Skills & Competencies Technical Excellence Deep knowledge of distributed computing, data modeling, and performance tuning. Collaboration Ability to partner with product, engineering, and operations teams to translate business needs into technical specifications. Communication Clear written and verbal communication skills, especially important in a remote setting. Ownership Proactive attitude toward end‑to‑end responsibility for services you build, from design through production support. Innovation Curiosity to explore emerging technologies and evaluate their fit for careerzynith’s data ecosystem. Adaptability Comfort working in a fast‑moving environment where priorities can shift quickly. Career Growth & Learning Opportunities At careerzynith, your career trajectory is shaped by your ambition. As a Distributed Systems Engineer, you will have access to Mentorship from senior architects who have built world‑class data platforms at scale. Regular technical talks, workshops, and conferences (both virtual and in‑person) to stay ahead of industry trends. Opportunities to lead high‑visibility projects that directly impact millions of users. Cross‑team rotations, allowing you to broaden expertise across data ingestion, analytics, and machine learning pipelines. Support for certifications (e.g., AWS Certified Solutions Architect, Google Cloud Professional Data Engineer). Work Environment & Culture careerzynith embraces a remote‑first culture that values flexibility, autonomy, and results. Our teams are globally distributed, yet we maintain a strong sense of community through Weekly virtual coffee chats and quarterly in‑person meet‑ups. Inclusive hiring practices that prioritize diverse perspectives. Transparent communication channels where every voice is heard. Dedicated “focus time” blocks to protect deep work and reduce meeting fatigue. Employee resource groups (ERGs) that celebrate cultural, technical, and personal interests. Compensation, Perks & Benefits careerzynith offers a competitive compensation package that includes Hourly rate of $28, with eligibility for performance‑based bonuses. Comprehensive health, dental, and vision coverage for you and your dependents. Retirement savings plan with company matching contributions. Generous paid time off, parental leave, and flexible holidays. Home office stipend to equip your workspace with ergonomic furniture and high‑speed internet. Wellness programs, including virtual fitness classes, mental‑health resources, and employee assistance services. Access to a global library of technical resources, online courses, and learning platforms. How to Apply If you are passionate about building data platforms that power the next generation of entertainment experiences, we want to hear from you. Click the link below to submit your application, attach your resume, and share a brief cover letter highlighting your most relevant projects. Apply Now – Join careerzynith! Closing Statement careerzynith is on a relentless quest to delight billions of viewers worldwide. By joining our Distributed Systems Engineering team, you will play a pivotal role in shaping the data foundation that fuels this vision. Bring your expertise, curiosity, and collaborative spirit, and help us build the future of digital entertainment—one data stream at a time. Apply for this job