Amazon Senior Software Engineer - Infrastructure 

United States, California, San Francisco 

523696799

About the RoleIVS is building the future of interactive video and we are seeking a Data Infrastructure Engineer to design, build, and maintain the systems that power our data-driven organization. In this role, you will ensure that our data pipelines, storage, and processing systems are reliable, scalable, and optimized for analytics, machine learning, and business intelligence use cases. You will collaborate with data engineers, analysts, and software teams to create infrastructure that enables efficient and secure access to high-quality data.You Will
- Design, implement, and maintain scalable data infrastructure in AWS cloud
- Build and optimize data pipelines (batch and streaming) to support analytics, reporting, and ML workloads.
- Ensure data quality, reliability, and observability through monitoring, logging, and automated alerting.
-Work closely with data engineering and analytics teams to understand requirements and deliver high-performance solutions.
-Champion best practices for security, compliance, and governance in data infrastructure.
- Identify opportunities to optimize performance and cost of data platforms.
- Stay current with emerging tools, frameworks, and cloud services in the data infrastructure ecosystem.

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- 6+ years of experience in data engineering, DevOps, or infrastructure engineering roles.
- Strong hands-on expertise with cloud platforms
- Proficiency in data pipeline tools (e.g., Airflow, dbt, AWS Glue, Flink).
- Experience with data storage technologies (e.g., Redshift, Snowflake, BigQuery, Delta Lake, Iceberg, Parquet).
- Proficiency in GO, SQL, and Python for building and maintaining data systems.
- Solid understanding of distributed systems and performance optimization.

- Experience with real-time data streaming and event-driven architectures.
- Strong hands-on expertise with AWS cloud
- Background in observability and monitoring
- Knowledge of data governance, security, and compliance best practices
- Prior experience supporting machine learning or advanced analytics environments.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.