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About careerzynith – Pioneering the Future of Global Entertainment
careerzynith is a world‑leading entertainment technology company that delivers streaming content to millions of viewers across more than 190 countries. With a portfolio that now spans movies, series, documentaries, and interactive gaming experiences, careerzynith is redefining how audiences engage with digital entertainment. Our mission is to bring joy to every corner of the globe, and we achieve that by building the most reliable, scalable, and innovative data infrastructure on the planet.
Why This Role Matters
At careerzynith, data is the lifeblood of every product decision, from content recommendation algorithms to real‑time streaming quality monitoring. The Distributed Systems Engineer (L4) on our Data Platform team will help shape the next generation of data services that power billions of interactions daily. This is a remote‑first position, allowing you to work from anywhere in the United States while collaborating with a diverse, high‑performing team of engineers, product leaders, and technical program managers.
Role Overview
As a Distributed Systems Engineer, you will design, build, and operate large‑scale, fault‑tolerant data platforms that enable rapid data ingestion, processing, and retrieval. You will work on core infrastructure components that serve as the foundation for careerzynith’s micro‑services ecosystem, ensuring sub‑millisecond latency, high availability, and seamless scalability.
Key Responsibilities
- Architect and implement distributed data storage and retrieval systems that meet the demanding performance requirements of careerzynith’s streaming services.
- Collaborate cross‑functionally with product managers, data scientists, and other engineering teams to translate business needs into robust technical solutions.
- Drive open‑source contributions by publishing internal tools and libraries to the broader community, reinforcing careerzynith’s reputation as an industry thought leader.
- Optimize existing pipelines for latency, throughput, and cost efficiency using technologies such as Flash, Presto/Trino, Druid, Iceberg, and other distributed data frameworks.
- Mentor junior engineers and foster a culture of continuous learning, code quality, and shared ownership.
- Participate in on‑call rotations to ensure 24/7 reliability of critical data services, responding quickly to incidents and performing root‑cause analysis.
- Design self‑service platforms that empower internal teams to launch data‑driven workloads without extensive engineering overhead.
- Maintain comprehensive documentation of system architecture, operational procedures, and best practices to support knowledge sharing across the organization.
Essential Qualifications
- 2+ years of hands‑on experience building large‑scale distributed systems or data platforms.
- Proficiency in Java or another object‑oriented programming language (e.g., Scala, Kotlin).
- Solid understanding of distributed systems concepts such as consensus algorithms, fault tolerance, and data replication.
- Experience designing and operating RESTful APIs and micro‑service architectures.
- Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.
- Demonstrated ability to solve complex, ambiguous problems with clear, data‑driven reasoning.
Preferred Qualifications
- Advanced degree (M.S. or Ph.D.) in Computer Science, Distributed Computing, or a related discipline.
- Hands‑on experience with big‑data processing frameworks such as Apache Spark, Flink, or Hadoop.
- Familiarity with cloud platforms (AWS, GCP, Azure) and container orchestration tools like Kubernetes.
- Contributions to open‑source projects or a public GitHub profile showcasing relevant work.
- Experience with data‑warehouse technologies (e.g., Snowflake, Redshift) and query engines (Presto, Trino, Druid).
- Strong communication skills and a track record of influencing cross‑functional stakeholders.
Core Skills & Competencies
- Technical Excellence: Deep knowledge of distributed algorithms, storage engines, and network protocols.
- Problem‑Solving Mindset: Ability to break down large problems into manageable components and iterate quickly.
- Collaboration: Comfortable working in a remote, globally distributed team, using tools like Slack, Zoom, and Confluence.
- Ownership: Proactive in identifying gaps, proposing improvements, and taking responsibility for delivery.
- Adaptability: Thrive in a fast‑moving environment where priorities shift based on business impact.
- Customer Focus: Keep the end‑user experience at the forefront of every technical decision.
Career Growth & Learning Opportunities
careerzynith invests heavily in the professional development of its engineers. In this role, you will have access to:
- Mentorship from senior architects who have built some of the world’s most trusted data platforms.
- Annual conference allowances to attend industry events such as Strata Data Conference, KubeCon, or Open Source Summit.
- Internal “Tech Talk” series where you can present your work, learn from peers, and stay current with emerging technologies.
- Sponsored certifications (e.g., AWS Certified Solutions Architect, Certified Kubernetes Administrator).
- A clear promotion pathway from L4 to senior and principal engineering roles, with performance reviews focused on impact and leadership.
Work Environment & Culture at careerzynith
Our culture is built on three pillars: Innovation, Inclusion, and Impact. We celebrate diverse perspectives, encourage bold experimentation, and measure success by the value we deliver to our global audience. Remote employees enjoy:
- Flexible working hours that respect personal rhythms and time zones.
- A generous home‑office stipend for ergonomic equipment, high‑speed internet, and coworking space access.
- Monthly virtual “Coffee & Connect” sessions that foster community across continents.
- Inclusive employee resource groups (ERGs) focused on gender equity, LGBTQ+ advocacy, and multicultural awareness.
- Health and wellness programs, including mental‑health counseling, fitness class reimbursements, and mindfulness workshops.
Compensation, Perks & Benefits
careerzynith offers a competitive hourly rate of $28/hr, complemented by a comprehensive benefits package that includes:
- Medical, dental, and vision coverage with low employee contributions.
- 401(k) retirement plan with company match.
- Paid time off (PTO) that rolls over each year, plus company‑wide holidays.
- Parental leave, adoption assistance, and flexible family‑care options.
- Employee stock purchase plan (ESPP) and performance‑based bonuses.
- Continuous learning budget for courses, books, and certifications.
How to Apply
If you are passionate about building data systems that power billions of experiences and thrive in a remote, high‑impact environment, we want to hear from you. Please submit your resume, a brief cover letter outlining your most relevant projects, and any links to open‑source contributions or personal repositories.
Apply Now – Join careerzynith’s Data Platform Team!
Take the Next Step
careerzynith is on a relentless journey to reach 500 million global users, and we need engineers who are excited by scale, love solving intricate problems, and are eager to leave a lasting imprint on the entertainment industry. This is more than a job—it’s an invitation to shape the future of data‑driven entertainment. Apply today and become part of a visionary team that turns data into delight for audiences worldwide.
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