Senior Software Engineer, Big Data

TL;DR

Senior Software Engineer, Big Data: Driving complex initiatives for hirify.global’s core real‑time streaming infrastructure and control planes with an accent on platform architecture evolution. Focus on the design, build, and operation of large‑scale Kafka and Flink infrastructure supporting tier‑0 and tier‑1 workloads.

Location: Remote (USA). Must be a U.S. employee and may live in any of the 50 United States, with limited exceptions.

Salary: $160,900.00 - $257,100.00 annually (California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington state, and Washington DC) or $152,900.00 - $244,300.00 annually (Colorado, Hawaii, Illinois, Minnesota, Nevada, Ohio, Rhode Island, and Vermont).

Company

hirify.global is reimagining how people move—through the real estate market and through their careers.

What you will do

• Design, build, and operate large‑scale Kafka and Flink infrastructure supporting tier‑0 and tier‑1 workloads.
• Lead critical initiatives in our streaming platform modernization, including platform architecture evolution.
• Develop and enhance streaming control planes, APIs, CLIs, and provisioning systems.
• Improve platform reliability through SLO definition, monitoring, alerting, incident response, and automation.
• Enable simplified stream processing patterns for product and engineering teams.
• Evaluate and integrate modern streaming ecosystem capabilities, including managed Kafka offerings and serverless stream processing.

Requirements

• 5+ years of experience building and operating large‑scale distributed systems.
• Significant production experience with Kafka and/or Flink.
• Proficiency in at least one programming language such as Python, Java, or Scala.
• Experience operating services in cloud environments (for example, AWS) and working with container orchestration platforms like Kubernetes.
• Experience designing scalable, multi‑tenant systems with reliability, cost efficiency, and observability in mind.
• Experience defining and operating against SLOs, participating in on‑call rotations, and leading incident response efforts.

Nice to have

• Experience working with streaming vendors (for example, Confluent, MSK, Redpanda) or modernizing legacy Kafka/Flink infrastructure.
• Demonstrated experience leading system design efforts for complex, multi‑team platform initiatives.
• Experience integrating streaming systems with analytics platforms such as Databricks or building real‑time context engineering capabilities for AI systems.
• Background in reliability engineering or platform engineering.

Culture & Benefits

• Be part of a company that's reshaping an industry and helping more people make home a reality.
• Committed to fostering an inclusive, innovative environment with the best employees.
• Committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.