Remote Distributed Systems Engineer – Data Platform (L4) – careerzynith – $28/hr Remote Data Entry & Big‑Data Infrastructure Leadership
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 original series, movies, documentaries, and interactive gaming experiences, careerzynith is redefining how audiences engage with media. Our mission is to harness the power of data to create personalized, seamless experiences for every viewer, no matter where they are. As a technology‑first organization, we invest heavily in cutting‑edge data platforms, open‑source contributions, and a culture of continuous innovation. Whether you’re joining from a bustling city or a quiet home office, you’ll be part of a team that shapes the future of entertainment at scale.
Role Overview
We are seeking a highly motivated Distributed Systems Engineer (L4) – Data Platform to join careerzynith’s data infrastructure teams. This remote‑first position offers a competitive rate of $28 per hour and the flexibility to work from anywhere in the United States. As a key member of our data platform ecosystem, you will design, build, and operate large‑scale distributed systems that power the data‑driven decisions behind every recommendation, search, and playback experience. Your work will directly impact the ability of careerzynith’s microservices to ingest, process, and serve petabytes of data with sub‑millisecond latency.
Key Responsibilities
Design and implement highly available, fault‑tolerant distributed services that support real‑time data ingestion, storage, and retrieval across multiple data centers.
Collaborate with product managers, data scientists, and other engineering teams to translate business requirements into scalable technical solutions.
Develop and maintain robust data pipelines that move terabytes of streaming data through ETL processes, ensuring data quality and consistency.
Optimize query performance for large‑scale analytical workloads using technologies such as Presto/Trino, Druid, Iceberg, and Flink.
Contribute to careerzynith’s open‑source initiatives by publishing libraries, tools, and best‑practice documentation for the broader community.
Participate in on‑call rotations, incident response, and root‑cause analysis to maintain system reliability and uptime.
Mentor junior engineers, conduct code reviews, and champion best practices in software design, testing, and documentation.
Drive cross‑functional projects that align data platform capabilities with emerging product features, including interactive gaming and personalized content recommendations.
Essential Qualifications
2+ years of hands‑on experience building large‑scale distributed systems or data‑intensive applications.
Proficiency in Java or another object‑oriented programming language (e.g., Scala, Kotlin, C#).
Solid understanding of distributed computing concepts such as consensus algorithms, sharding, replication, and eventual consistency.
Experience designing and operating RESTful APIs and streaming services (e.g., gRPC, Kafka, Pulsar).
Demonstrated ability to work with relational and NoSQL data stores, including PostgreSQL, Cassandra, DynamoDB, or similar technologies.
Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.
Strong problem‑solving skills, with a track record of delivering production‑ready solutions to complex business problems.
Preferred Qualifications
Advanced degree (M.S. or Ph.D.) in Computer Science, Distributed Systems, 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 infrastructure‑as‑code tools (Terraform, CloudFormation).
Contributions to open‑source projects, especially in the data‑infrastructure space.
Experience with container orchestration (Kubernetes, Docker Swarm) and CI/CD pipelines.
Knowledge of performance profiling, latency optimization, and capacity planning for high‑throughput systems.
Core Skills & Competencies
Technical Excellence: Ability to write clean, maintainable code and to architect systems that scale horizontally.
Collaboration: Strong communication skills for working with cross‑functional teams, including product, data science, and operations.
Adaptability: Comfort with rapid iteration, evolving requirements, and a fast‑paced environment.
Ownership: Proactive attitude toward taking responsibility for end‑to‑end delivery, from design through production support.
Curiosity: Passion for learning new technologies, exploring open‑source ecosystems, and sharing knowledge with peers.
Customer Focus: Commitment to delivering reliable, low‑latency experiences that directly impact careerzynith’s global audience.
Career Growth & Learning Opportunities
At careerzynith, your career trajectory is driven by your ambition and the impact you make. Engineers at the L4 level are positioned to become senior technical leaders, architects, or product owners within a few years. You will have access to:
Mentorship programs with senior engineers and industry experts.
Sponsored attendance at leading conferences such as Strata, KubeCon, and Open Source Summit.
Internal “Innovation Days” where you can prototype new ideas and present them to leadership.
Rotational opportunities across data platform teams, giving you exposure to storage, streaming, analytics, and machine‑learning pipelines.
Continuous learning budgets for certifications, online courses, and technical books.
Work Environment & Culture at careerzynith
careerzynith embraces a remote‑first culture that values flexibility, autonomy, and results. Our distributed teams are united by a shared purpose: to deliver world‑class entertainment experiences powered by data. We foster an inclusive environment where diverse perspectives are celebrated, and every voice matters. Key cultural pillars include:
Freedom & Responsibility: You choose how to solve problems, with clear expectations for quality and delivery.
Open Collaboration: Transparent communication channels, regular all‑hands meetings, and open‑source contributions are the norm.
Innovation Mindset: We encourage experimentation, rapid prototyping, and learning from failures.
Work‑Life Harmony: Flexible hours, generous PTO, and support for mental‑health initiatives ensure you stay balanced.
Compensation, Benefits & Perks
While the base rate for this role is $28 per hour, careerzynith offers a comprehensive total rewards package that includes:
Health, dental, and vision insurance with multiple plan options.
Retirement savings plan with company matching contributions.
Paid parental leave, family‑care assistance, and adoption support.
Annual performance bonuses and equity grants for eligible employees.
Home office stipend, high‑speed internet reimbursement, and ergonomic equipment allowance.
Wellness programs, virtual fitness classes, and access to mental‑health resources.
Employee resource groups (ERGs) that promote community, mentorship, and professional development.
How to Apply
If you are excited about building the next generation of data infrastructure that powers billions of streaming experiences, we want to hear from you. Click the link below to submit your application and join careerzynith’s mission to redefine entertainment worldwide.
Apply Now
Join careerzynith Today
At careerzynith, you will work alongside some of the brightest minds in distributed systems, data engineering, and entertainment technology. Your contributions will be visible to a global audience, and you will have the freedom to innovate, experiment, and grow. Take the next step in your career—apply now and become part of a team that is shaping the future of digital media.
Apply for this job
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 original series, movies, documentaries, and interactive gaming experiences, careerzynith is redefining how audiences engage with media. Our mission is to harness the power of data to create personalized, seamless experiences for every viewer, no matter where they are. As a technology‑first organization, we invest heavily in cutting‑edge data platforms, open‑source contributions, and a culture of continuous innovation. Whether you’re joining from a bustling city or a quiet home office, you’ll be part of a team that shapes the future of entertainment at scale.
Role Overview
We are seeking a highly motivated Distributed Systems Engineer (L4) – Data Platform to join careerzynith’s data infrastructure teams. This remote‑first position offers a competitive rate of $28 per hour and the flexibility to work from anywhere in the United States. As a key member of our data platform ecosystem, you will design, build, and operate large‑scale distributed systems that power the data‑driven decisions behind every recommendation, search, and playback experience. Your work will directly impact the ability of careerzynith’s microservices to ingest, process, and serve petabytes of data with sub‑millisecond latency.
Key Responsibilities
Design and implement highly available, fault‑tolerant distributed services that support real‑time data ingestion, storage, and retrieval across multiple data centers.
Collaborate with product managers, data scientists, and other engineering teams to translate business requirements into scalable technical solutions.
Develop and maintain robust data pipelines that move terabytes of streaming data through ETL processes, ensuring data quality and consistency.
Optimize query performance for large‑scale analytical workloads using technologies such as Presto/Trino, Druid, Iceberg, and Flink.
Contribute to careerzynith’s open‑source initiatives by publishing libraries, tools, and best‑practice documentation for the broader community.
Participate in on‑call rotations, incident response, and root‑cause analysis to maintain system reliability and uptime.
Mentor junior engineers, conduct code reviews, and champion best practices in software design, testing, and documentation.
Drive cross‑functional projects that align data platform capabilities with emerging product features, including interactive gaming and personalized content recommendations.
Essential Qualifications
2+ years of hands‑on experience building large‑scale distributed systems or data‑intensive applications.
Proficiency in Java or another object‑oriented programming language (e.g., Scala, Kotlin, C#).
Solid understanding of distributed computing concepts such as consensus algorithms, sharding, replication, and eventual consistency.
Experience designing and operating RESTful APIs and streaming services (e.g., gRPC, Kafka, Pulsar).
Demonstrated ability to work with relational and NoSQL data stores, including PostgreSQL, Cassandra, DynamoDB, or similar technologies.
Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.
Strong problem‑solving skills, with a track record of delivering production‑ready solutions to complex business problems.
Preferred Qualifications
Advanced degree (M.S. or Ph.D.) in Computer Science, Distributed Systems, 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 infrastructure‑as‑code tools (Terraform, CloudFormation).
Contributions to open‑source projects, especially in the data‑infrastructure space.
Experience with container orchestration (Kubernetes, Docker Swarm) and CI/CD pipelines.
Knowledge of performance profiling, latency optimization, and capacity planning for high‑throughput systems.
Core Skills & Competencies
Technical Excellence: Ability to write clean, maintainable code and to architect systems that scale horizontally.
Collaboration: Strong communication skills for working with cross‑functional teams, including product, data science, and operations.
Adaptability: Comfort with rapid iteration, evolving requirements, and a fast‑paced environment.
Ownership: Proactive attitude toward taking responsibility for end‑to‑end delivery, from design through production support.
Curiosity: Passion for learning new technologies, exploring open‑source ecosystems, and sharing knowledge with peers.
Customer Focus: Commitment to delivering reliable, low‑latency experiences that directly impact careerzynith’s global audience.
Career Growth & Learning Opportunities
At careerzynith, your career trajectory is driven by your ambition and the impact you make. Engineers at the L4 level are positioned to become senior technical leaders, architects, or product owners within a few years. You will have access to:
Mentorship programs with senior engineers and industry experts.
Sponsored attendance at leading conferences such as Strata, KubeCon, and Open Source Summit.
Internal “Innovation Days” where you can prototype new ideas and present them to leadership.
Rotational opportunities across data platform teams, giving you exposure to storage, streaming, analytics, and machine‑learning pipelines.
Continuous learning budgets for certifications, online courses, and technical books.
Work Environment & Culture at careerzynith
careerzynith embraces a remote‑first culture that values flexibility, autonomy, and results. Our distributed teams are united by a shared purpose: to deliver world‑class entertainment experiences powered by data. We foster an inclusive environment where diverse perspectives are celebrated, and every voice matters. Key cultural pillars include:
Freedom & Responsibility: You choose how to solve problems, with clear expectations for quality and delivery.
Open Collaboration: Transparent communication channels, regular all‑hands meetings, and open‑source contributions are the norm.
Innovation Mindset: We encourage experimentation, rapid prototyping, and learning from failures.
Work‑Life Harmony: Flexible hours, generous PTO, and support for mental‑health initiatives ensure you stay balanced.
Compensation, Benefits & Perks
While the base rate for this role is $28 per hour, careerzynith offers a comprehensive total rewards package that includes:
Health, dental, and vision insurance with multiple plan options.
Retirement savings plan with company matching contributions.
Paid parental leave, family‑care assistance, and adoption support.
Annual performance bonuses and equity grants for eligible employees.
Home office stipend, high‑speed internet reimbursement, and ergonomic equipment allowance.
Wellness programs, virtual fitness classes, and access to mental‑health resources.
Employee resource groups (ERGs) that promote community, mentorship, and professional development.
How to Apply
If you are excited about building the next generation of data infrastructure that powers billions of streaming experiences, we want to hear from you. Click the link below to submit your application and join careerzynith’s mission to redefine entertainment worldwide.
Apply Now
Join careerzynith Today
At careerzynith, you will work alongside some of the brightest minds in distributed systems, data engineering, and entertainment technology. Your contributions will be visible to a global audience, and you will have the freedom to innovate, experiment, and grow. Take the next step in your career—apply now and become part of a team that is shaping the future of digital media.
Apply for this job