Senior Software Engineer — Distributed Compute / Spark Systems

About this kind of role

What a Senior Software Engineer — Distributed Compute / Spark Systems usually does. The employer's own details are in the listing.

Typically does: Designs, develops, and maintains distributed computing systems, often utilizing frameworks like Spark to process large datasets. This role involves writing efficient, scalable code, debugging complex issues, and collaborating with other engineers to deliver robust solutions. Responsibilities frequently include performance optimization, system architecture design, and contributing to technical documentation. Senior engineers often mentor junior team members and lead technical initiatives.

Tools and skills: Proficiency in programming languages such as Java, Scala, or Python, experience with distributed computing frameworks (Spark, Hadoop), and familiarity with cloud platforms (AWS, Azure, GCP) are generally required.

Good fit for: Individuals with a strong background in software engineering and a passion for building scalable, high-performance systems thrive in this role.