Staff Engineer — Data Platform

Location: Tel Aviv, Israel; hybrid schedule with 3 days in the office.

Company

hirify.global provides performance advertising technology and data-driven ad solutions for businesses, publishers, and advertisers at global scale.

What you will do

• Shape the architecture, technical direction, roadmap, and technology choices of the Data Platform group.
• Build and operate large-scale distributed data systems supporting reporting, billing, ML training, experimentation, revenue optimization, and business decisions.
• Own complex platform challenges across Spark performance and cost optimization, Iceberg table management, Kafka ingestion, and low-latency StarRocks analytics.
• Evolve the Spark SQL platform, lakehouse, ingestion, storage, compaction, serving, and shared framework code.
• Raise standards for design, code quality, testing, observability, and operational excellence while remaining hands-on with production code, prototypes, and new technologies.
• Mentor engineers, lead design reviews and postmortems, influence stakeholders across R&D, and represent the group in architecture forums, hiring, open-source communities, and conferences.

Requirements

• 10+ years of hands-on software engineering experience, with deep expertise in Java or an equivalent JVM/object-oriented language.
• Deep hands-on Apache Spark expertise, including internals, Spark SQL, the Catalyst optimizer, and performance and cost tuning at scale.
• Production experience with Apache Iceberg or another open table format, including table design, partitioning, compaction, and metadata/catalog management.
• Deep Apache Kafka expertise, including internals, partitioning, delivery semantics, and operating high-throughput production pipelines.
• Hands-on experience with StarRocks or a similar MPP/real-time analytics engine, such as Druid, ClickHouse, or Trino.
• Experience designing, building, and owning large-scale distributed data systems end to end, from architecture through production reliability.
• Experience mentoring engineers and growing technical leaders through design reviews, code reviews, pairing, and knowledge sharing.
• Ability to influence without authority and align teams, managers, and stakeholders; highly proficient with Linux and Kubernetes in production.
• Ability to lead by example with AI by introducing agent-based engineering workflows, measuring their impact, and helping the group adopt them.
• B.Sc. in Computer Science or equivalent experience.

Nice to have

• Contributions to open-source data projects such as Spark, Iceberg, Kafka, or StarRocks; conference talks, blog posts, or other public technical writing.
• Experience running Spark on GPU with RAPIDS or using other query acceleration techniques.
• Experience with stream processing using Spark Structured Streaming, Kafka Streams, or Flink.
• Experience with dbt and/or Airflow, and knowledge of Ansible, Puppet, or similar configuration systems.
• Experience leveraging AI agents to accelerate engineering work.
• Familiarity with how ML training pipelines consume data for effective collaboration with algorithm teams.

Culture & Benefits

• Hybrid work schedule with 3 days in the office and the option to attend more often.
• Region-tailored competitive benefits, comprehensive health benefits, well-being programs, a stocked kitchen, and location-specific perks.
• Environment focused on employee growth, learning, empowerment, inclusion, and collaboration with experienced engineers.
• Opportunity to work with major publisher partners and advertiser clients through a large-scale performance advertising platform.