Senior Solutions Engineer (Big Data)

TL;DR

Senior Solutions Engineer (Big Data): Building and optimizing scalable data infrastructure and pipelines for real-time data analysis and AI applications with an accent on hybrid cloud environments and distributed systems. Focus on designing robust solutions, collaborating with cross-functional teams, and ensuring high performance and reliability.

Company

hirify.global is a leading data platform company focused on AI infrastructure.

What you will do

• Build distributed data pipelines using technologies like Kafka, Spark, and Python.
• Design and deploy hybrid cloud/on-prem environments using Terraform and Kubernetes.
• Implement event-driven workflows with control over latency and throughput.
• Create technical guides and demo pipelines to support best practices.
• Own the end-to-end platform lifecycle from ingestion to storage.
• Collaborate with R&D to enhance performance across analytics workloads.

Requirements

• 2–4 years in software or infrastructure engineering.
• Proficiency in Trino, Spark, and Apache Kafka.
• Strong coding skills in Python.
• Understanding of SQL, NoSQL, and HDFS storage architectures.
• Experience with DevOps practices and containerization.
• Excellent communication skills for cross-team collaboration.