Senior Engineering Manager (Big Data, Generative AI)

TL;DR

Senior Engineering Manager (Big Data, Generative AI): Providing technical leadership and vision, driving innovation in distributed systems, large-scale data pipelines, and ML solutions with an accent on architecting and delivering high-performance, scalable microservices and real-time inferencing systems. Focus on modern ML infrastructure and championing engineering rigor to deliver resilient, scalable systems.

Location: Remote

Company

hirify.global, Inc. creates effortless networking experiences that enable all of us to advance.

What you will do

• Provide technical leadership and vision, driving innovation in distributed systems, large-scale data pipelines, and ML solutions.
• Lead the full software development lifecycle, including design, architecture, testing, deployment, and operations.
• Architect and deliver high-performance, scalable microservices and real-time inferencing systems using modern ML infrastructure.
• Mentor and grow engineering talent, establish technical direction, and foster a culture of excellence and collaboration.
• Champion engineering rigor, operational excellence, and process improvements to deliver resilient, scalable systems.

Requirements

• Degree in Computer Science, Mathematics, or a related discipline.
• 8+ years of experience across the full SDLC including design, coding, reviews, testing, deployment, and operations.
• 4+ years of experience managing engineering teams with a proven track record of delivery.
• 4+ years of experience building distributed Big Data solutions such as Spark, Kafka, Debezium, Hudi, Flink, or Glue.
• 4+ years of experience designing and architecting large-scale distributed systems on cloud platforms such as AWS, Azure, or GCP.
• Proficiency with Docker, Kubernetes, and modern CI/CD practices.

Nice to have

• MS or PhD in Computer Science or a related field
• Experience with Graph ML and Graph technologies such as GNNs
• Experience building Generative AI solutions such as RAG, AI Agents, or LLM fine-tuning

Culture & Benefits

• Committed to fostering an inclusive workplace that embraces differences.
• Culture of diversity, inclusion, and equality, where every employee thrives because of their differences, not despite them.