Senior Software Development Engineer – Data Platform & Big Data Solutions (Remote – arenaflex)
About arenaflex
arenaflex is a global leader in digital entertainment and streaming technology, delivering immersive experiences to millions of users worldwide. With a portfolio that spans live sports, premium movies, original series, and localized content in dozens of languages, arenaflex has built a reputation for innovation, scale, and relentless focus on the viewer. Our data‑driven culture powers every recommendation, personalization, and operational decision, making us a pioneer in the fast‑moving world of online media. As we continue to expand our footprint, we are looking for visionary engineers who can shape the next generation of data platforms that enable real‑time insights, massive scalability, and flawless user experiences.
Role Overview
We are seeking a Senior Software Development Engineer – Data Platform to join our Information Stage team. In this remote role, you will design, build, and maintain highly scalable data pipelines and storage solutions that support arenaflex’s massive content catalog and millions of concurrent viewers. You will collaborate with product, machine‑learning, and analytics teams to turn raw data into actionable intelligence, ensuring that our platform remains reliable, performant, and future‑proof.
Key Responsibilities
- Architect, develop, and operate petabyte‑scale data ingestion and processing systems using technologies such as Apache Kafka, Flink, Spark, and Hive.
- Design and implement robust data lakehouse solutions on AWS (S3, EMR, RDS) and modern storage formats like Parquet, Delta Lake, and Hudi.
- Partner with product and ML engineers to create data models and APIs that power personalization, recommendation engines, and analytics dashboards.
- Build and maintain streaming pipelines that enable real‑time analytics, fraud detection, and content quality monitoring.
- Drive continuous improvement by evaluating emerging technologies, prototyping new approaches, and integrating best practices into the data platform.
- Lead technical discussions, influence architecture decisions, and mentor junior engineers across multiple geographies.
- Ensure data security, compliance, and governance standards are embedded throughout the data lifecycle.
- Collaborate closely with cross‑functional teams to troubleshoot production incidents, perform root‑cause analysis, and implement long‑term fixes.
Essential Qualifications
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical discipline (or equivalent practical experience).
- 4–6 years of professional software development experience, with at least 2 years focused on large‑scale data engineering or platform development.
- Strong programming skills in at least one of the following languages: Java, Scala, Go, or Python.
- Deep understanding of distributed systems and hands‑on experience with big‑data technologies such as Apache Kafka, Flink, Spark, Hive, and Hadoop.
- Proficiency with AWS services (S3, EMR, RDS, Lambda) and infrastructure‑as‑code tools.
- Solid grasp of data storage concepts, including columnar formats (Parquet), versioned lakehouse architectures (Delta, Hudi), and data partitioning strategies.
- Demonstrated ability to design and optimize SQL queries for high‑throughput workloads.
- Excellent communication and collaboration skills, with a track record of working effectively in fast‑paced, globally distributed teams.
Preferred Qualifications
- Ph.D. or advanced research experience in data systems, distributed computing, or machine learning.
- Experience building and operating real‑time streaming pipelines using Flink or Spark Structured Streaming.
- Familiarity with data lakehouse platforms such as Databricks.
- Knowledge of data governance frameworks, GDPR, and other privacy regulations.
- Previous exposure to media or entertainment domains, especially content recommendation or ad‑tech pipelines.
- Leadership experience mentoring engineers and driving cross‑team initiatives.
Core Skills & Competencies
- Analytical mindset: Ability to translate complex business problems into scalable technical solutions.
- System design: Expertise in designing fault‑tolerant, low‑latency architectures that handle billions of events per day.
- Programming excellence: Clean, maintainable code with strong unit‑testing and CI/CD practices.
- Collaboration: Comfortable partnering with product managers, data scientists, and operations teams.
- Continuous learning: Proactive in staying current with industry trends and emerging data technologies.
- Ownership: End‑to‑end responsibility for the reliability and performance of data services.
Career Growth & Learning Opportunities
At arenaflex, your career trajectory is shaped by the impact you create. As a senior engineer, you will have direct access to senior leadership, influence roadmap decisions, and spearhead initiatives that affect millions of users. We invest heavily in professional development through:
- Annual learning budgets for conferences, certifications, and online courses.
- Internal tech talks, hackathons, and mentorship programs.
- Opportunities to lead cross‑functional projects and transition into staff‑engineer or engineering‑manager tracks.
- Exposure to cutting‑edge technologies in AI, real‑time analytics, and cloud-native architectures.
Work Environment & Culture
arenaflex fosters an inclusive, collaborative, and high‑performance culture. Our remote‑first policy empowers you to work from anywhere while staying connected through regular virtual stand‑ups, team‑building activities, and quarterly in‑person meet‑ups. We celebrate diversity, encourage curiosity, and prioritize work‑life balance. Employees enjoy:
- Flexible working hours and a results‑oriented mindset.
- Access to a global community of engineers, designers, and product innovators.
- Transparent communication channels where ideas are heard and acted upon.
- Health and wellness programs, including mental‑health resources and fitness stipends.
Compensation, Perks & Benefits
arenaflex offers a competitive total rewards package that reflects the seniority of the role and the market. While exact figures vary by location, you can expect:
- Base salary in the range of $120,000 – $150,000 USD, commensurate with experience.
- Annual performance bonuses and equity grants.
- Comprehensive health, dental, and vision coverage for you and your dependents.
- Retirement savings plans with company matching contributions.
- Generous paid time off, parental leave, and sabbatical options.
- Remote‑work stipend for home office setup, high‑speed internet, and coworking space access.
- Learning & development budget, conference attendance, and certification reimbursements.
Application Process
Ready to shape the future of data at arenaflex? Follow these steps to apply:
- Review the official job posting on our careers portal.
- Prepare your resume, academic transcripts, and a brief cover letter highlighting your relevant experience.
- Upload a passport‑size photo and a digital signature as part of the application package.
- Submit your application through the online form. You will receive an automated confirmation and next‑step instructions.
Why Join arenaflex?
If you thrive on solving complex data challenges at massive scale, love collaborating with world‑class talent, and want to make an impact on a platform that entertains billions, arenaflex is the place to accelerate your career. Our mission‑driven environment, cutting‑edge technology stack, and commitment to employee growth create the perfect backdrop for you to innovate, lead, and succeed.