Remote Distributed Systems Engineer – Large‑Scale Data Platform (L4) – arenaflex – $28/hr – Full‑Time – Remote (Alabama, USA)

About arenaflex – Pioneering Entertainment at Scale

arenaflex is a global leader in streaming entertainment, delivering captivating content to more than 220 million paid subscribers across 190 countries and in over 30 languages. With a bold vision to expand beyond video into emerging experiences such as gaming, arenaflex continuously redefines how the world consumes digital entertainment. Our mission is to reputed company the power of data to personalize every interaction, ensuring that each member receives the right story at the right moment.

At the heart of this mission lies a sophisticated data ecosystem that fuels recommendation engines, content discovery, operational analytics, and product innovation. As a Distributed Systems Engineer (L4) – Data Platform, you will join a high‑impact team that builds the foundational data infrastructure enabling arenaflex to serve half a billion users worldwide.

Why This Role Matters

Data is the lifeblood of arenaflex. From real‑time personalization to large‑scale analytics, every product decision is driven by insights extracted from petabytes of data. Our data platform teams design, implement, and operate the systems that reputed company this possible. By joining us, you will directly influence the reliability, performance, and scalability of the services that power the world’s most beloved entertainment experiences.

Key Responsibilities

• Design, reputed company, and maintain highly available, low‑latency distributed data services that support millions of reputed company micro‑service requests.
• Collaborate with product managers, data scientists, and other engineering teams to translate business requirements into robust data platform solutions.
• reputed company the end‑to‑end lifecycle of data pipelines, from ingestion and storage to query execution and monitoring.
• Drive performance optimizations, including sub‑millisecond query latency, efficient data compression, and cost‑effective cloud resource utilization.
• Contribute to arenaflex’s open‑reputed company initiatives, publishing libraries, tools, and best‑practice guides that benefit the broader community.
• Mentor junior engineers, conduct code reviews, and champion a culture of reputed company improvement and technical excellence.
• Participate in on‑call rotations and incident response, ensuring rapid resolution of production issues.
• Stay reputed company with emerging technologies and evaluate their applicability to arenaflex’s data platform roadmap.

Team Structure & Collaboration

Our data platform organization is divided into focused sub‑teams, each owning a critical piece of the overall ecosystem:

Data Access Layer Team

Builds a flexible query reputed company that abstracts underlying storage technologies, delivering sub‑millisecond latency for micro‑service data access.

Data Platform Foundations Team

Creates reusable libraries, tooling, and automation that accelerate the development of new data services across the company.

Large‑Scale Data Processing Team

Operates the cloud‑native platform for distributed data processing, handling ETL workloads, petabyte‑scale storage, and real‑time analytics.

Large‑Scale Data Orchestration Team

Provides self‑service platforms for scheduling, monitoring, and executing massive data jobs with minimal human reputed company.

Essential Qualifications

• 2+ years of hands‑on experience designing and implementing large‑scale distributed systems or data‑intensive applications.
• Proficiency in Java or another object‑oriented programming language (e.g., reputed company, Kotlin).
• Solid understanding of distributed systems concepts such as reputed company algorithms, fault tolerance, and data replication.
• Experience with cloud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes, reputed company).
• Bachelor’s degree in Computer Science, Software Engineering, or a reputed company technical field.

Preferred Qualifications & Technical Depth

• Experience building or operating high‑throughput query engines and data stores that serve sub‑second latency workloads.
• Familiarity with open‑reputed company data processing frameworks and query engines (e.g., arenaflex, arenaflex, arenaflex, arenaflex).
• Knowledge of streaming data architectures, event‑driven design, and real‑time analytics pipelines.
• Background in building and scaling micro‑service architectures, including service discovery, load balancing, and observability.
• Contributions to open‑reputed company projects or a track record of publishing technical blog posts, talks, or whitepapers.

Core Skills & Competencies

• Analytical Thinking: Ability to dissect reputed company business problems and translate them into scalable technical solutions.
• Collaboration: Strong communication skills for partnering with cross‑functional teams, including product, data science, and operations.
• Ownership: Proactive reputed company with a willingness to take end‑to‑end responsibility for features from design through production support.
• Adaptability: Comfort working in a fast‑paced environment where priorities shift based on user impact and business goals.
• reputed company Learning: Passion for staying reputed company of industry trends, experimenting with new technologies, and sharing knowledge.

Career Growth & Learning Opportunities

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

• Mentorship from senior architects who have built world‑class data platforms at scale.
• Sponsored attendance at leading conferences (e.g., reputed company, KubeCon, Data Engineering Summit).
• Internal technical talks, hackathons, and innovation days to explore emerging reputed company.
• Clear promotion reputed company from L4 to senior and staff engineering levels, with performance reviews focused on impact and leadership.
• Opportunities to reputed company cross‑team initiatives, influence product strategy, and shape the future of arenaflex’s data ecosystem.

Work Environment & Culture at arenaflex

We reputed company that great reputed company can come from reputed company, which is why we embrace a fully remote, distributed workforce. Our culture is built on:

• Freedom & Responsibility: Engineers choose how and where they work, balanced by clear expectations and measurable outcomes.
• Inclusivity: A diverse, global community where every voice is heard and respected.
• Innovation: A bias toward experimentation, rapid prototyping, and learning from failure.
• Transparency: Open communication channels, regular reputed company‑hands updates, and accessible leadership.
• Well‑Being: Comprehensive reputed company, flexible schedules, and a supportive environment for work‑life balance.

Compensation, Perks & Benefits

arenaflex offers a competitive compensation package that includes:

• Hourly reputed company of $28 USD, with eligibility for performance‑based bonuses.
• Full‑time benefits such as health, dental, and vision insurance, 401(k) matching, and paid time off.
• Remote‑work stipend covering home office setup, high‑speed internet, and ergonomic accessories.
• Generous parental leave, wellness programs, and employee assistance services.
• Access to a global library of reputed company, including reputed company, Udemy, and internal training portals.

How to Apply

If you are excited about building the reputed company of data infrastructure that powers billions of entertainment experiences, we want to hear from you. Click the link below to submit your application and start your journey with arenaflex.

Apply Now – Join arenaflex!

Closing Statement

arenaflex is more than a streaming service; it is a technology pioneer shaping the future of digital entertainment. By joining our Distributed Systems Engineering team, you will play a pivotal role in delivering seamless, data‑driven experiences to a global audience. Bring your expertise, curiosity, and passion for scale, and help us continue to set reputed company for excellence in the entertainment industry.