Founding Platform Engineer – Real-Time IoT Data Systems

SearchLabs; Toronto; Hybrid; CAD 150,000 - 200,000; Full time

Job summary

A technology firm is seeking a Senior Platform Engineer to build and scale a data platform for processing massive IoT data in real time. This role involves designing distributed systems, enhancing performance with technologies like Kafka and Spark, and tackling engineering challenges. Candidates should have strong experience in data platforms, with significant proficiency in scalable systems. The position offers a competitive salary, equity options, and a hybrid work environment with numerous perks including comprehensive benefits and a generous PTO policy.

Benefits

Competitive salary with strong equity incentives

Comprehensive dental and drug benefits from day one

$3,000 lifestyle account for conferences and wellness

$3,000 healthcare spending account for approved expenses

4 weeks of PTO plus two company offsites per year

Collaborative in-office culture with team lunches

Qualifications

• Experience working on data platforms, handling ingestion, processing, and storage.
• Strong understanding of scalable distributed systems.
• Proficiency with Kafka, Spark, Flink, and Lakehouse architectures.

Responsibilities

• Design and implement scalable distributed systems for ingesting and processing large IoT data streams.
• Work with technologies like Kafka, Spark, Flink, and Lakehouse architectures.
• Develop foundational infrastructure to support future product expansion.
• Improve real-time data validation, enrichment, and analytics capabilities.
• Shadow customer calls in the first three months.
• Be part of an on-call rotation to handle critical system issues.

Skills

Data platforms experience

Scalable distributed systems understanding

Proficiency with Kafka

Proficiency with Spark

Proficiency with Flink

Proficiency with Lakehouse architectures

Job description

A technology firm is seeking a Senior Platform Engineer to build and scale a data platform for processing massive IoT data in real time. This role involves designing distributed systems, enhancing performance with technologies like Kafka and Spark, and tackling engineering challenges. Candidates should have strong experience in data platforms, with significant proficiency in scalable systems. The position offers a competitive salary, equity options, and a hybrid work environment with numerous perks including comprehensive benefits and a generous PTO policy.