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Added 10 mins ago
C
Senior Machine Learning Engineer
Clio
Canada
- Full-time
We are currently seeking a Senior Machine Learning Engineer to join our rapidly growing engineering team. This role is for someone who is passionate about building innovative solutions and…
Added 10 mins ago
T
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AI Delivery - Oracle Fusion AI
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KG
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Civil Engineering Co-op Student
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IC
Compiler Engineer for Tile-based AI DSLs
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In this position as a Compiler Engineer, you will focus on enhancing and maintaining cutting-edge compiler software tools optimized for Intel processors. Your day-to-day responsibilities…
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Added 55 mins ago
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Civil Engineering Student (Summer 2027)
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Vancouver, BC · St. John's, NL · Halifax, NS · Ottawa, ON · Toronto, ON
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Nanaimo, BC · Vancouver, BC · Victoria, BC
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Specialist Tailings
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Dease Lake 9, BC
- $113,600 to $151,500 CAD / year
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AI Enablement Specialist - Contract
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Infrastructure & Capital Projects - Project Manager, COM
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Added 55 mins ago
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Mechanical Engineer, Intermediate
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- Full-time
Impact Engineering is currently seeking an Intermediate Mechanical Engineer-in-Training (E.I.T.) or Junior Professional Engineer (P.Eng.) who is self-motivated and has a passion for…
Added 55 mins ago
A
Transformation Director : Toronto, ON (Hybrid) : FTE
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Toronto, ON
- Full-time
Added 1 hour ago
SL
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US Tech Solutions

Sr Python Engineer #26-21269

Toronto, ON, Canada

$100 to $105 CAD / hour · Contract

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Job details

Pay: $100 to $105 CAD / hour
Job type: Contract
Apply by: Dec 2, 2026
Experience: Experience: 10+ years of software engineering, including enterprise Python.
Posting language: English
Posted: Nov 2, 2026

Original job description

Hybrid with four days onsite and one day remote.

Duration: (12 Months)One-year contract

Schedule: Monday-Friday, core business hours; no overtime or travel.

Job Description

Client is seeking an Application Developer - Sr Python Engineer to support a project-based vendor integration initiative. The engineer will design and maintain secure, scalable Python microservices and APIs, connect platforms and data through REST/gRPC and event-driven patterns, and modernize data solutions across Azure Databricks, Delta Lake, ADLS, Azure Data Factory, Airflow, Azure SQL, Unity Catalog, and SQL. This role offers a long-term one-year contract, meaningful exposure to cloud-native engineering and data-platform modernization, and collaboration with experienced technology, platform, security, and business partners.

Experience: 10+ years of software engineering, including enterprise Python.

Responsibilities:

Application and platform engineering

Design, develop, test, document, and maintain secure Python microservices using Fast API.
Build RESTful, gRPC, internal platform, data-ingestion, event-driven, batch-processing, and authentication/authorization APIs.
Deploy and operate services using Docker and Kubernetes, with Redis and Kafka where appropriate.
Create reusable frameworks, automation, and orchestration patterns that improve delivery quality and reliability.
Translate complex requirements into practical, production-ready solutions with technology and business partners.

Data engineering and operational excellence

Build and optimize data solutions using Python, PySpark, Azure Databricks, Delta Lake, ADLS, Clienture Data Factory, Airflow, Clienture SQL, Unity Catalog, and SQL.
Troubleshoot production issues, tune performance, and support releases and readiness activities.
Implement testing, monitoring, authentication, authorization, compliance, and reliability practices.
Partner with security, platform, engineering, and business teams to deliver governed capabilities.
Contribute to knowledge transfer and technical documentation.

Required Skillsets

Python: Senior hands-on enterprise development.
Fast API: Production microservice development.
API design: REST/gRPC and multiple API patterns.
Docker/Kubernetes: Containerized deployment and orchestration.
Redis/Kafka: Caching, messaging, and event-driven architecture.
PySpark: Distributed data processing.
Azure data platform: Databricks, Delta Lake, ADLS, Data Factory, Azure SQL, and Unity Catalog.
Airflow/SQL: Workflow orchestration and relational querying.
Security and quality: Authentication, authorization, testing, monitoring, compliance, and reliability.
Enterprise delivery: Troubleshooting, release support, documentation, and cross-team execution.

Preferred Skillsets

High-volume enterprise services or pipelines.
Reusable internal frameworks and shared services.
Internal developer-platform capabilities.
AI-assisted development, testing, or documentation.
Strong written and verbal communication.
Experience partnering with security and governance teams.
Performance tuning and production-readiness ownership.
Vendor-integration or complex platform-integration experience.

Education: University degree in Computer Science, Engineering, Mathematics, or a related technical discipline.

About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com

Equal Opportunity Employer: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

AI Statement: By applying, you acknowledge that AI-assisted tools may be used during the recruitment process.

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More about this job

Responsibilities

Design, build, test, document, and operate secure Python microservices and APIs, including REST, gRPC, event-driven, and data-ingestion services. Develop and optimize Azure-based data solutions, support production troubleshooting and releases, and implement security, testing, monitoring, and reliability practices in collaboration with technical and business teams.

Requirements

Requires 10+ years of software engineering experience, including senior-level enterprise Python development and production FastAPI microservices. Candidates should have experience with API design, containerized deployment, distributed data processing, Azure data services, orchestration, SQL, security and quality practices, and enterprise delivery; a technical university degree is specified.

Skills

Python
FastAPI
REST APIs
gRPC
Docker
Kubernetes
Redis
Kafka
PySpark
Azure Databricks
Delta Lake
Azure Data Lake Storage
Azure Data Factory
Apache Airflow
Azure SQL
Unity Catalog

Visa sponsorship

Not detected in the job text

Keywords

Python
FastAPI
Microservices
REST APIs
gRPC
Event-Driven Architecture
Docker
Kubernetes
Redis
Kafka
PySpark
Azure Databricks
Delta Lake
Azure Data Lake Storage
Azure Data Factory
Apache Airflow
Azure SQL
Unity Catalog
SQL
Authentication
Authorization
Data Engineering
Data Ingestion
Batch Processing
API Design
Performance Tuning
Production Readiness
Monitoring
Compliance
Vendor Integration

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