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Java Spark Developer
Apptad Inc —Montréal, QC
- Contract
- Hybrid work
- Azure
- System design
- Java
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Lead Full Stack Software Engineer – AWS / SaaS / Applied AI
Aurevia Systems —Toronto, ON
- $61,197.71–$142,098.92 a year
- Full-time
- Hybrid work
- Computer Science
- Software troubleshooting
- Engineering
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5h

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Lead Full Stack Software Engineer – AWS / SaaS / Applied AI
Aurevia Systems —Toronto, ON
This role is ideal for an experienced engineer who is comfortable working across the complete software-development lifecycle—from understanding business…
$61,197.71–$142,098.92 a year
Quick apply
5h

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Java Spark Developer

Apptad Inc -
Montréal, QC

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Job details

Contract

Qualifications

Spring Boot
Performance tuning
Software engineering
Azure
MVC
Gradle
Cassandra
Continuous Delivery (CD) implementation
Container orchestration
RESTful API
Big data
Software deployment
Spark
System design
NoSQL
Git
Google Cloud Platform
MongoDB
Data and database experience
Java
SQL
AWS
Analysis skills
Docker
PostgreSQL
Back-end development
Mentoring
Angular
Software development
GitHub
Agile
UI
Maven
Cross-functional collaboration
Multithreading
Software development or architecture experience
TypeScript
GitLab
Communication skills
Software architecture
Debugging
Cross-functional communication
MySQL
Pipeline
Spring MVC
Design patterns

Full job description

Senior Java Spark Developer
Location: Montreal

Experience Level: Senior (7+ Years)

Position Overview:
We are seeking a highly skilled and experienced Senior Java Spark Developer to join our core engineering team. In this role, you will be responsible for designing, building, and maintaining high-performance, scalable, and secure backend systems.

The ideal candidate will have over 7 years of enterprise Java development experience, a strong background in big data processing using Apache Spark, and a passion for engineering excellence. While this is primarily a backend role, knowledge of Angular UI is a plus.

Key Responsibilities:
System Architecture: Design, develop, and deploy robust, scalable, and microservices-based backend systems using Java and Spring Boot.
Data Processing: Architect and optimize large-scale, distributed data processing pipelines using Apache Spark.
Database Management: Write complex SQL/NoSQL queries and optimize database performance for high-throughput applications.
API Development: Design and implement secure, well-documented RESTful APIs.
Mentorship & Code Quality: Lead code reviews, enforce best practices, and mentor junior and mid-level developers.
Cross-Functional Collaboration: Partner closely with frontend teams, product managers, and DevOps to deliver seamless end-to-end features.

Required Technical Skills & Qualifications:
Experience: 7+ years of professional software development experience primarily focused on backend engineering.
Core Java: Deep expertise in Java (Java 8/11/17+), including multithreading, concurrency, memory management, and design patterns.
Frameworks: Extensive experience with Spring Ecosystem (Spring Boot, Spring MVC, Spring Security, Spring Data).
Big Data Frameworks: Proven track record of building and tuning production-grade data pipelines using Apache Spark (Core, SQL, or Streaming).
Databases: Strong knowledge of relational databases (e.g., PostgreSQL, MySQL) and NoSQL solutions (e.g., MongoDB, Cassandra).
Tools & DevOps: Proficiency with Git, CI/CD pipelines (Jenkins, GitLab, or GitHub Actions), Maven/Gradle, and Docker.

Nice-to-Have Skills:
Frontend Knowledge: Familiarity or hands-on experience with Angular (TypeScript, RxJS, state management), enabling smooth full-stack collaboration.
Cloud Platforms: Experience deploying and managing applications on cloud environments (AWS, GCP, or Azure).
Container Orchestration: Knowledge of Kubernetes

Soft Skills:
Strong analytical, problem-solving, and debugging skills.
Excellent communication and collaboration skills to work effectively in an agile environment.
Proven ability to take ownership of projects from concept to deployment

Experience:

Spark: 3 years (required)
Core Java: 7 years (required)

Work Location: Hybrid remote in Montréal, QC (Montréal)

Quick apply

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