Founding Platform Engineer - (YC-Backed DataTech)

Jagger; Old Toronto; On-site; CAD 150,000 - 200,000; Full time

Job summary

Join a rapidly growing DataTech startup as a Founding Platform Engineer in Toronto! This innovative firm is looking for a talented engineer to enhance data systems and build scalable solutions in the trucking and logistics space. With a focus on real-time data processing and strong system design, you'll be at the forefront of developing efficient data pipelines and storage solutions. Collaborate with a small, dynamic team to shape architectural decisions and ensure the reliability of their data platform. This is a unique opportunity to make a significant impact in a thriving company with meaningful equity options and a competitive salary range.

Qualifications

• 4+ years in platform or data engineering with strong system design skills.
• Experience with data pipelines and real-time data processing tools.

Responsibilities

• Enhance data replication and storage capabilities.
• Build efficient data pipelines for core product and API.

Skills

Platform Engineering

Data Engineering

System Design

Problem-Solving

Collaboration

Education

Bachelor's Degree in Computer Science or related field

Tools

Java

Node.js

Kafka

Spark

Flink

AWS Lambda

AWS Glue

Amazon S3

GitHub Actions

Job description

Our client is a rapidly growing YC-backed Toronto-based DataTech startup, experiencing unbelievable global growth in the trucking & logistics space! We are recruiting for a Founding Platform Engineer to join their small but mighty team out of their DT Toronto office.

On-site role - 4x/week (Mon-Thurs). $150-200k/base + Meaningful Equity

Responsibilities:

1. Own projects aimed at enhancing data replication, storage, enrichment, and reporting capabilities.
2. Build and optimize efficient streaming and batch data pipelines that support their core product and API.
3. Design scalable storage solutions for handling terabytes of IoT and time-series data.
4. Develop and maintain real-time data systems to ingest growing data volumes.
5. Implement distributed tracing and observability patterns to improve monitoring and troubleshooting.
6. Write clean, maintainable code in Java and Node.js for various platform components.
7. Shape architectural decisions to ensure scalability and reliability throughout the data platform.

Qualifications:

1. 4+ years of experience in platform engineering or data engineering.
2. 2+ years of experience designing and optimizing data pipelines at TB to PB scale.
3. Strong system design skills with a focus on data workflows.
4. Familiarity with lake-house architectures (e.g., Iceberg, Delta, Hudi, Snowflake).
5. Experience with real-time data processing tools like Kafka, Spark, and Flink.
6. Knowledge of distributed systems and large-scale data challenges.
7. Proficient in Java, with a focus on clean, maintainable code.
8. Strong problem-solving skills and a collaborative mindset.

Stack:

Languages: JavaScript / TypeScript, Java

Infrastructure as Code (IaC): SST, AWS CDK

Cloud Services:

• Compute and Orchestration: AWS Lambda, AWS Step Functions
• Storage: Amazon S3, Amazon DynamoDB
• Messaging and Events: Amazon SQS, Amazon EventBridge
• Data Processing: AWS Glue, Apache Flink, Kafka, Iceberg, DuckDB
• CI/CD: GitHub Actions