Closed listing
Platform Engineer
- Toronto, ON, Canada
$75 to $80 CAD / hour · Contract
This opening has closed.
The original listing is kept below for reference.
Job details
- Pay
- $75 to $80 CAD / hour
- Job type
- Contract
- Closing date
- Posting language
- English
- Posted
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Original job description
Archived listing. The details below describe a past opening.
Job Title: Platform Engineer
Location: Toronto, Canada
Duration: Long Term Contract
Job Overview
We are looking for a skilled Software Engineer with strong experience in Python and Java to build scalable REST APIs and Microservices applications. The ideal candidate should have a strong understanding of application performance, scalability, and optimization in multi-user environments.
Key Responsibilities
- Design, develop, and maintain REST APIs and Microservices using Python and Java.
- Build scalable and reliable backend applications supporting multiple concurrent users.
- Perform performance tuning and optimization of APIs and applications.
- Troubleshoot performance, scalability, and production issues.
- Collaborate with cross-functional teams to deliver high-quality software solutions.
- Follow best practices for coding, testing, deployment, and application scalability.
Required Skills
- Strong hands-on experience with Python and Java.
- Experience developing REST APIs and Microservices.
- Strong knowledge of performance tuning, optimization, and scalability.
- Experience working with applications/APIs handling multiple users or high-volume requests.
Nice to Have
- Apache Spark / PySpark
- Databricks
- Kubernetes
- Terraform
More about this job
Responsibilities
Design, develop, and maintain REST APIs, microservices, and scalable backend applications using Python and Java. Tune and optimize application performance, troubleshoot production and scalability issues, and collaborate with cross-functional teams to deliver reliable software.
Requirements
Requires strong hands-on experience with Python and Java, along with experience developing REST APIs and microservices. Candidates should understand performance tuning, optimization, scalability, and applications handling multiple users or high request volumes; Apache Spark/PySpark, Databricks, Kubernetes, and Terraform are nice to have.
Skills
- Python
- Java
- REST APIs
- Microservices
- Performance Tuning
- Optimization
- Scalability
- Apache Spark
- PySpark
- Databricks
- Kubernetes
- Terraform
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Engineering
- Data & Analytics
Keywords
- Python
- Java
- REST APIs
- Microservices
- Backend Applications
- Performance Tuning
- Optimization
- Scalability
- Concurrent Users
- High-Volume Requests
- Production Troubleshooting
- Application Performance
- Apache Spark
- PySpark
- Databricks
- Kubernetes
- Terraform
- Coding
- Testing
- Deployment
- Banking