Jobs in Toronto, ON and nearby

Jobs within 25 km of Toronto, ON, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

91,293 listings · 10,700 employers Counted Nov 4, 2026. How we count

About these jobs

Employers hiring include Shoppers Drug Mart (1,471 listings), Loblaw Companies Limited (1,274 listings), S M Software Solutions Inc (963 listings).

Common roles: Software engineer, Project manager, Retail sales associate.

14,956 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / year	85,000.00	8,736
CAD / hour	26.00	5,708
USD / year	155,000.00	75
CAD / month	6,000.00	34
CAD / week	2,868.82	28
CAD / day	140.00	13

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Workplace classifications: 0% remote, 29% hybrid, 71% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Jobs in Toronto, ON and nearby

Within 25 km

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Added 5 hours ago
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Toronto, ON
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Toronto, ON
- Contract

I8IS - Infiniti Software Solutions

Java Developer or Python Developer with Data Lineage and meta data

Mississauga, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Dec 4, 2026
Posting language: English
Posted: Nov 4, 2026

Original job description

Location : Mississauga, Canada

Java Developer or Python Developer with Data Lineage and meta data

Interview Process (3 Levels):

L1 – Client Internal Panel (Teams/Zoom)

Karat Interview

Discussion with Project Team (Teams/Zoom)

Java/J2EE (spring boot, hibernate, ORM), core developer who can write libraries and executable solution. Who worked on event based frameworks, knowledge of different design patterns. Oracle data base, configuration of APIs, graph API and Graph DB etc.

Role Summary

Developer focused on data lineage to build systems that parse and analyze large, multi-language codebases and automatically generate accurate data lineage. The role pairs strong Python engineering with hands-on Gen AI/LLM work and ownership of build, deployment, and delivery pipelines. The emphasis is on clean, efficient, well-architected design - systems that are correct, performant, and maintainable as they scale.

What You'll Do

Design and build engines that parse multiple programming and query languages to extract accurate, column-level data lineage.
Build Gen AI/LLM-powered retrieval and assistant capabilities on top of lineage and metadata.
Develop backend services and the interfaces that expose them, from data processing through to user-facing views.
Own the delivery pipeline - build, test, deployment, and production support across environments.

Design Principles We Value

Simplicity first - favor the simplest design that solves the problem; avoid unnecessary complexity and premature abstraction.
Separation of concerns - clear module boundaries, single-responsibility components, and well-defined interfaces so pieces can evolve independently.
Correctness and determinism - prefer predictable, testable behavior; ground AI outputs in verifiable data rather than guesswork.
Performance-aware design - think about time/space complexity, memory footprint, and efficient data structures and algorithms up front.
Scalability and extensibility - design so new languages, sources, and capabilities can be added without rewrites.
Robustness - graceful error handling, fault isolation, and defensive design so one bad input can't take the system down.
Readability and maintainability - code and designs the next engineer can understand, extend, and debug.
Reuse over duplication - shared models and common abstractions instead of repeated logic.

Required Skills

Strong Python development with solid object-oriented and functional design skills.
Software engineering fundamentals: data structures, algorithms, and complexity analysis.
Data lineage / data flow analysis: parsing and analyzing source code (AST-based and pattern-based static analysis) and comfort reading multiple languages.
Hands-on Gen AI/LLM experience: prompt design, tool/function calling, and agent orchestration.
Understanding of retrieval-augmented generation and vector/semantic search concepts.
Experience designing APIs and backend services, plus the front-end fundamentals to build usable interfaces.
Pipeline and deployment experience: build/test automation, CI/CD, and releasing across environments.
Data manipulation and transformation skills.

Nice to Have

Graph algorithms and traversal techniques for dependency/lineage tracing.
Data governance, metadata management, and data cataloging concepts.
Experience designing systems for long-running or asynchronous workloads.
Infrastructure automation and deployment tooling.

Key Responsibilities

Translate ambiguous requirements into clean, efficient, well-structured designs.
Extend parsing and analysis capabilities to new languages and frameworks without compromising architecture.
Design and productionize Gen AI/LLM and retrieval features that are accurate and grounded in real data.
Build and maintain deployment pipelines; support delivery across environments.
Write tests and maintain quality across the development lifecycle.
Collaborate on design reviews and raise the engineering bar for the team.

Apply About employer

More about this job

Responsibilities

Build systems that parse and analyze multi-language codebases to generate accurate, column-level data lineage, and develop grounded Gen AI/LLM retrieval and assistant capabilities using lineage and metadata. Design backend services and interfaces, own build, testing, deployment, and production support pipelines, and extend the system while maintaining quality and scalability.

Requirements

Requires strong Python engineering, software design fundamentals, and experience analyzing source code for data lineage using static analysis techniques. Candidates should also have hands-on Gen AI/LLM and retrieval experience, API and backend development skills, and experience with CI/CD and deployment; graph algorithms and data governance are advantageous.

Skills

Python
Java
Data Lineage
Metadata Management
Static Code Analysis
Abstract Syntax Trees
Generative AI
Large Language Models
Retrieval-Augmented Generation
API Design
Backend Services
CI/CD
Graph Algorithms
Oracle Database
Spring Boot
Hibernate

Visa sponsorship

Not detected in the job text

Keywords

Python
Java
Java/J2EE
Spring Boot
Hibernate
ORM
Oracle Database
Data Lineage
Metadata Management
Code Parsing
Static Analysis
Abstract Syntax Trees
Column-Level Lineage
Event-Based Frameworks
Design Patterns
Generative AI
Large Language Models
Prompt Design
Tool Calling
Agent Orchestration
Retrieval-Augmented Generation
Vector Search
Semantic Search
API Design
Graph API
Graph Database
Graph Algorithms
CI/CD
Data Governance
Data Cataloging

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