Java developer with tuning experience Jobs

ead Full Stack Developer (C# / .NET Core / Azure)
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- Temporary
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Citi —Mississauga, ON
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Clickhouse —Remote
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Senior Java Technology Developer – Vice President
Citi —Toronto, ON
- $120,800–$170,800 a year
- Full-time
- Hybrid work
- Oracle
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Kinetica Database Consultant
LTM —Mississauga, ON
- $91,511–$103,366 a year
- Java
- Databases
- SQL
- Disability insurance
- Dental care
Quick apply
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Senior Full Stack Developer
Royal Bank of Canada —Toronto, ON
- Full-time
- Oracle
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Intermediate Software Developer
Nanometrics Inc —Ottawa, ON
- $90,000–$115,000 a year
- Full-time
- Hybrid work
- Computer Science
- Engineering
- English
- Dental care
- Paid time off
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RQ10841 - Sr. Software Developer - Full Stack
Source Code —Toronto, ON
- $72.14–$108.22 an hour
- Full-time
- Oracle
- DevOps
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Senior Software Engineer
Canada —Mississauga, ON
- $88,270 a year
- Full-time
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ead Full Stack Developer (C# / .NET Core / Azure)

Aarorn Technologies Inc. -
Toronto, ON

Quick apply

Job details

$50–$52 an hour
6 hours ago

Qualifications

TensorFlow
CI/CD
Elasticsearch
Azure
Oracle
MVC
Cloud architecture
React
Kubernetes
XML
PyTorch
DevOps
.NET Core
Visual Studio
C#
NumPy
Business analysis
System design
NoSQL
.NET
Java
SQL
Pandas
Docker
Machine learning
Redis
REST
APIs
Model training
Apache
Kafka
Service-oriented architecture
AI
Python
Design patterns

Full job description

Job Title: Lead Full Stack Developer (C# / .NET Core / Azure)
Location: Toronto, ON (4 days/week on-site – this is not negotiable)
Employment Type: Contract
Rate: $50-52 an hour

Job Description
What is the opportunity?
A Lead Full Stack Developer is responsible for designing, developing and maintaining legacy and "Cloud First" applications written primarily in C# and focused on .Net Core and Azure cloud platform. The group is continuously working to improve our Agile, Engineering, and DevOps practices and this role will be expected to actively participate in these efforts.
At its core, this role requires excellent problem-solving skills and C#/.Net, Java, Python and full stack coding capability. This role will need to effectively communicate, collaborate, and influence engineering and business team members and senior management across many projects and departmental boundaries.
This Engineer is an expert professional with deep expertise or unique industry knowledge who uses in depth skill sets to contribute to development of company objectives and principles and to achieve goals in creative and effective ways.
The candidate solves unique and complex problems that have a broad impact on business and develops both front-end and back-end solutions. Designs, develops, updates/maintains solutions and provides technical guidance to other Team Members of technology.
At this level the main challenge is to identify causes and implement solutions to complex & critical business problems in a multifunctional project, assessing and communicating issues of technological impact on the business.
The colleague in this position would be comfortable with the following activities:

Evaluates application software packages and makes recommendations to senior management.
Leads & provides guidance to other colleagues in new product reviews, tests, and pilots.
Collects & in-depth analyzes business requirements for large & critical projects.
Performs in-depth feasibility studies, translates complex requirements into an appropriate design.

What will you do?

Perform complex engineering activities inclusive of performance tuning, monitoring, and deployment.
Research, influence and implement vendor dependency to simplify the architecture. Design and build APIs to help make use of large data sets, infrastructure and user experience.
Implement, maintain and update CI/CD pipelines on a cloud environment.
Collaborate with business partners, architects and other groups to identify complex technical and functional needs of systems based on priority.
Collaborate with multiple, enterprise-wide distributed performing teams to deliver new capabilities in business applications.
Leverage Gen-AI/AI capabilities such as Claude, CoPilot, others – to generate code, test data generation and automated testing. Demonstrate keen interest in leveraging automation for efficient delivery of engineering capabilities.
Provides programming expertise and business analysis skills within broad business area, usually as a senior member of a project team, in analyzing, designing, modifying, and developing business applications.
Analyzes and develops logical data/database designs, data models across multiple computing environments.
Complies with architectural standards and established methodologies and practices.

What do you need to succeed?
Must have:

Minimum of 10+ years in C# (.NET Core), Visual Studio, Apache Web Services, XML, and Restful-API/Kafka & event-driven integration capabilities.
10+ years of experience in Design and implementing cloud-based architecture using Azure services like Services Logic Apps, Azure Functions, Azure DevOps, Azure Event Hub, Azure Redis, Cosmos DB, Blob Storage, KeyVault, Azure Repos.
Develop and deploy scalable, secure, and efficient cloud-based applications using Azure services. Strong background in REST API, system design and application integration, including data mapping between source and target systems.
Knowledge of containerization using Docker and Kubernetes.
Experience with various Design Patterns (MVC, MVVM, etc.), SOA and other Architectural concepts. Must have development experience in Azure Integration Services.
This engineer will need to be very proficient in managing large sets of data, including excellent proficiency with ANSI-SQL querying structured and unstructured data sources (Snowflake, Oracle, SQL, No-SQL).
Experience with ELK, Dynatrace and other logging capabilities.
Experience in React, Elastic Search, Snowflake.
Experience leveraging Gen-AI capabilities for code generation, testing, test-automation, and test data generation.

Nice-to-have:

Coding experience in Python; including experience with libraries such as Pandas or NumPy for data manipulation and visualization.
Certification in Microsoft Azure, such as Azure Developer Associate or Azure Solutions Architect Expert.
Familiarity with building and training machine learning models (e.g., regression, classification, clustering) using frameworks like Scikit-learn, TensorFlow, or PyTorch.

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