Distributed Systems Developer - Up to $200,000 P/A CAD + Bonus + Benefits

Hunter Bond; Montreal; Hybrid; CAD 200,000; Full time

Job summary

Join a fast-growing tech company in Montreal as a Python Engineer focused on distributed systems. This innovative firm is dedicated to building scalable solutions that power cutting-edge applications in data analytics and cloud computing. You'll design and optimize fault-tolerant systems, collaborating with a talented team to enhance performance and reliability. With a hybrid work model and a comprehensive health and wellness package, this is an exciting opportunity for those passionate about technology and innovation. If you're ready to tackle complex challenges and make a significant impact in the tech industry, this role is perfect for you!

Benefits

Comprehensive Health & Wellness Package

Learning & Development Opportunities

Tech Equipment Stipend

Generous Vacation & Paid Time Off

Collaborative Team Environment

Qualifications

• Strong proficiency in Python and experience in distributed systems.
• Knowledge of fault tolerance and consensus algorithms.

Responsibilities

• Design and implement distributed systems using Python.
• Build and optimize microservices for high availability.

Skills

Python

Distributed Systems

Microservices

Fault Tolerance

Consensus Algorithms

CAP Theorem

Celery

Dask

Kafka

AWS

Google Cloud

Azure

Docker

Kubernetes

NoSQL

Cassandra

Redis

Git

Problem Solving

Tools

Docker

Kubernetes

Prometheus

Grafana

ELK Stack

CI/CD

Terraform

Job description

Distributed Systems Developer - Up to $200,000 P/A CAD + Bonus + Benefits

Job Title: Python Engineer - Distributed Systems

About the Client:

We are working with an innovative, fast-growing tech company in Montreal, focused on building scalable, distributed systems that power some of the most cutting-edge applications in industries like data analytics, cloud computing, and real-time services. This company thrives on challenging the status quo, constantly pushing the boundaries of what’s possible with distributed systems architecture.

Their team is passionate about using Python to solve complex problems and drive the future of large-scale distributed computing. If you’re a Python engineer with a keen interest in distributed systems and cloud technologies, this is a fantastic opportunity to be part of an exciting journey that is shaping the future of tech.

The Role:

We are looking for a talented Python Engineer with experience in distributed systems to join our client’s dynamic team. In this role, you will be responsible for designing, building, and optimizing highly scalable and fault-tolerant systems using Python and related technologies. You’ll work with a team of engineers to enhance the performance, reliability, and scalability of their distributed infrastructure, enabling the delivery of high-performance, low-latency services.

This role is ideal for someone who enjoys working with large-scale systems, optimizing performance, and collaborating across teams to build and maintain cutting-edge solutions.

Key Responsibilities:

1. Design and implement distributed systems using Python, focusing on scalability, reliability, and fault tolerance.
2. Work closely with infrastructure teams to ensure seamless integration and smooth operations of distributed services.
3. Build and optimize microservices, ensuring they are highly available and performant across a distributed environment.
4. Contribute to the development of robust, fault-tolerant, and scalable architecture for data processing and real-time systems.
5. Profile and optimize Python-based distributed systems to ensure high throughput and low latency.
6. Collaborate with cross-functional teams, including data engineers, DevOps, and machine learning teams, to build comprehensive solutions.
7. Stay up-to-date with emerging trends in distributed systems and cloud technologies.

Skills and Experience:

1. Strong proficiency in Python, with experience in building distributed systems, microservices, and scalable solutions.
2. Knowledge of distributed systems concepts, including fault tolerance, consensus algorithms, and CAP theorem.
3. Experience with frameworks like Celery, Dask, or Kafka for managing distributed tasks.
4. Familiarity with cloud platforms (AWS, Google Cloud, Azure) and containerization technologies (Docker, Kubernetes).
5. Experience with databases in a distributed environment (e.g., NoSQL, Cassandra, Redis).
6. Proficiency in version control systems such as Git and collaborative development practices.
7. Strong problem-solving skills and the ability to design solutions that address complex challenges at scale.

Nice to Have:

1. Familiarity with additional programming languages such as Java, Go, Rust, or C++.
2. Experience with distributed message queues (e.g., RabbitMQ, Kafka).
3. Exposure to monitoring, logging, and observability tools (e.g., Prometheus, Grafana, ELK stack).
4. Experience with DevOps tools and practices (CI/CD, Terraform).
5. A background in data engineering, real-time streaming, or cloud-native applications is a plus.
6. Familiarity with machine learning or AI-driven applications within a distributed architecture.

Flexible Working: Enjoy a hybrid work model that allows for remote and in-office work.

Comprehensive Health & Wellness Package: Full benefits package, including health, dental, and mental health support.

Learning & Development: Access to continuous learning opportunities, courses, and industry events.

Tech Equipment Stipend: Get an annual allowance to upgrade your personal tech setup.

Generous Vacation & Paid Time Off: Take time for rest and recharge, including paid sick days and vacation.

Team Collaboration: Work with a talented, collaborative team that values innovation, diversity, and creative problem-solving.

Why This Role?

This is an exciting opportunity to be part of a fast-growing company that is driving innovation in distributed systems. You’ll work on impactful projects that scale across industries, tackling challenges that will directly influence the future of data processing, cloud services, and real-time applications.

If you have a passion for building scalable, high-performance distributed systems in Python and are ready to work on cutting-edge technologies, this is the perfect opportunity for you.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Finance, Engineering, and Information Technology

Industries

Technology, Information and Media, Space Research and Technology, and Computers and Electronics Manufacturing