Job Description

💼 Job Overview

Role: Senior Java Engineer
Employment Type: Full Time
Location: Toronto, Ontario (Initially Remote)
Level: Mid-Level to Architect Level

NTENT is expanding its Toronto engineering team and is looking for a talented Senior Java Engineer to help build world-class search technologies. In this role, you will collaborate with machine learning scientists and experienced engineers to develop large-scale applications, distributed systems, and tools powering NTENT’s intelligent search platform.

🚀 Key Responsibilities

Backend Platform Development

• Build and enhance the core backend engine powering NTENT’s search platform.
• Design scalable and high-performance services using Java technologies.
• Develop new capabilities for real-time data processing and large-scale search infrastructure.

Big Data & Data Pipelines

• Design and maintain large-scale data pipelines.
• Build workflows and services for real-time processing and analytics.
• Support large distributed clusters and processing frameworks.

Machine Learning Infrastructure

• Support data scientists and ML engineers.
• Implement pipelines used in:
  • Linguistics
  • Ranking algorithms
  • Classification systems
  • AI driven search improvements

Data Ingestion Systems

• Build ingestion pipelines that process data collected from NTENT’s web crawler.
• Manage high-volume data streams from multiple sources.
• Ensure reliability, scalability, and performance.

🧠 Required Skills & Qualifications

Education

• Bachelor’s or Master’s Degree in Computer Science or related field.

Core Technical Skills

• Strong experience with Java programming
• Experience with:
  • Spring Framework
  • Spring WebFlux
  • Reactor
  • Netty
• Advanced multi-threading and concurrency
• Designing high-throughput and scalable systems
• Microservices architecture
• REST API development (HTTP, XML, JSON)

System & Platform Experience

• Comfortable working in Linux and Windows environments
• Experience building distributed backend systems

Big Data Technologies (at least one preferred)

• Hadoop ecosystem (HDFS, Hadoop, Hive)
• Apache Spark
• Samza
• Kafka
• Aerospike
• Lucene / Solr / Elasticsearch

⭐ Nice to Have

• Machine Learning experience
• CI/CD pipelines and DevOps workflows
• Git / GitLab version control
• IntelliJ development tools
• Functional programming (Scala)
• Gradle build systems
• Avro data serialization
• Container technologies:
  • Docker
  • Kubernetes

👨‍💻 Ideal Candidate

The ideal candidate will:

• Be self-motivated and highly analytical
• Communicate clearly with technical and non-technical teams
• Work effectively in agile development environments
• Handle complex engineering challenges independently
• Contribute to architecture and system design

🎁 Benefits & Perks

Opportunity to work on cutting-edge AI and search technology

Comprehensive Medical, Dental, and Vision Insurance

Generous Paid Time Off (PTO)

13 Paid Holidays per year

401(k) retirement plan

Long-term disability coverage

Life insurance

Flexible and casual work culture