Remote Distributed Systems Engineer (L4) – Data Platform – High‑Impact Data Infrastructure Role at careerzynith – $28/hr

About careerzynith – Pioneering the Future of Global Entertainment

careerzynith is a world‑leading entertainment technology company that delivers streaming content to millions of subscribers across more than 190 countries. With a portfolio that now includes movies, series, documentaries, and an expanding suite of interactive experiences such as gaming, careerzynith is redefining how audiences engage with digital media. Our mission is to bring joy to a global audience by leveraging cutting‑edge data, cloud, and distributed‑system technologies. As we continue to scale toward the ambitious goal of reaching 500 million users worldwide, we are looking for visionary engineers who thrive in a remote‑first environment and want to shape the next generation of data platforms.

Why This Role Matters – The Data Platform at careerzynith

Our Data Platform powers every recommendation, personalization, and operational insight that makes careerzynith unique. It provides a unified data foundation that enables product teams, content creators, and business analysts to make data‑driven decisions quickly and safely. As a Distributed Systems Engineer (L4), you will be at the heart of this ecosystem, designing, building, and optimizing the infrastructure that processes petabytes of data in real time.

Key Responsibilities

• Architect, develop, and maintain highly available, low‑latency distributed data services that support careerzynith micro‑services and downstream analytics pipelines.
• Collaborate with cross‑functional teams—including product managers, data scientists, and TPMs—to translate business requirements into scalable technical solutions.
• Drive the design and implementation of fault‑tolerant data pipelines, ensuring sub‑millisecond query response times for critical user‑facing features.
• Contribute to careerzynith’s open‑source community by publishing libraries, tools, and best‑practice documentation that benefit both internal teams and the broader ecosystem.
• Lead performance‑tuning initiatives, leveraging profiling tools and benchmarking suites to identify bottlenecks and implement optimizations.
• Mentor junior engineers, fostering a culture of continuous learning, code quality, and collaborative problem solving.
• Participate in on‑call rotations and incident response, applying a systematic approach to root‑cause analysis and post‑mortem documentation.
• Stay current with emerging technologies (e.g., Flink, Trino, Druid, Iceberg) and evaluate their applicability to careerzynith’s data challenges.

Essential Qualifications

• Experience: Minimum 2 years of hands‑on experience building large‑scale distributed systems or data‑intensive applications.
• Education: Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.
• Programming Skills: Proficiency in Java and at least one additional language commonly used in data engineering (e.g., Python, Scala, Go).
• System Design: Demonstrated ability to design, implement, and operate resilient services that handle high throughput and low latency.
• Database Knowledge: Familiarity with both relational (e.g., PostgreSQL) and NoSQL (e.g., Cassandra, DynamoDB) data stores, as well as modern query engines such as Trino or Presto.
• Cloud Experience: Experience with cloud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes, Docker).
• Collaboration: Strong communication skills and a track record of working effectively in distributed, remote teams.

Preferred Qualifications

• Advanced degree (M.S. or Ph.D.) in Computer Science, Distributed Systems, or a related discipline.
• Hands‑on experience with stream processing frameworks (e.g., Apache Flink, Kafka Streams).
• Contributions to open‑source projects, especially those related to data storage, query processing, or distributed coordination.
• Knowledge of data lake architectures and formats (e.g., Apache Iceberg, Delta Lake).
• Experience building and operating large‑scale ETL pipelines and data warehouses.
• Familiarity with observability tools (Prometheus, Grafana, OpenTelemetry) and automated testing frameworks.

Core Skills & Competencies

• Analytical Thinking: Ability to break down complex business problems into modular, testable components.
• Problem Solving: Comfortable tackling ambiguous challenges and iterating on solutions in a fast‑paced environment.
• Ownership: Proactive mindset with a willingness to take end‑to‑end responsibility for features from design through production support.
• Teamwork: Collaborative spirit that values diverse perspectives and encourages knowledge sharing.
• Adaptability: Flexibility to shift priorities as product needs evolve, while maintaining high standards of code quality.
• Communication: Clear articulation of technical concepts to both technical and non‑technical stakeholders.

Career Growth & Learning Opportunities at careerzynith

careerzynith invests heavily in the professional development of its engineers. In this role, you will have access to:

• Mentorship programs pairing you with senior architects and industry experts.
• Sponsored attendance at leading conferences such as Strata Data Conference, KubeCon, and Open Source Summit.
• Internal “Tech Talk” series where teams showcase innovative projects and share lessons learned.
• Dedicated learning budget for certifications, online courses, and technical books.
• Opportunities to lead high‑visibility projects that directly impact millions of users worldwide.

Work Environment & Culture

careerzynith embraces a remote‑first culture that values flexibility, autonomy, and work‑life balance. Our engineers enjoy:

• Fully distributed teams with members across the United States, allowing you to work from any location in the U.S.
• A results‑oriented performance model that focuses on impact rather than hours logged.
• Regular virtual coffee chats, team‑building activities, and inclusive events that foster a sense of community.
• Transparent communication from leadership, with quarterly all‑hands meetings and open Q&A sessions.
• Commitment to diversity, equity, and inclusion, ensuring a welcoming environment for people of all backgrounds.

Compensation, Perks & Benefits

While the base hourly rate for this position is $28 per hour, careerzynith offers a comprehensive total rewards package that includes:

• Competitive health, dental, and vision insurance plans with low employee contributions.
• Generous paid time off (PTO) and flexible holidays to support personal well‑being.
• Retirement savings options with company matching contributions.
• Annual performance bonuses tied to individual and company success.
• Home office stipend to equip your remote workspace with ergonomic furniture and high‑speed internet.
• Wellness programs, including virtual fitness classes, mental‑health resources, and employee assistance programs.
• Employee stock purchase plan (ESPP) and equity grants for long‑term wealth building.

How to Apply

If you are passionate about building resilient, high‑performance data systems and want to make a tangible impact on a global entertainment platform, we want to hear from you. Join careerzynith’s talented engineering community and help shape the future of streaming, gaming, and interactive media.

Apply Now – Start Your Journey with careerzynith!