Find work in Canada.

A simpler way to find your next job.

Jobs in Canada

Email me new jobs Save this search

Added 1 month ago
S
Forward Deployed Solution Engineer – Applied AI FDE
ServiceNow
Montreal, QC
- Full-time
Added 1 month ago
Business Systems Engineer, Intelligent Automation
Lyft
Toronto, ON
Write and optimize SQL/PL-SQL and custom scripts (Java/Groovy/JavaScript/Python); manage code via Git/GitHub; provide production support and on-call as needed.
Added 5 months ago
AC
Guidewire Rating Developer
Aviva Canada
Markham, Ontario
- Full-time
5+ years of experience with coding in multiple programming languages such as C#, Java, Python, etc.
Added 5 months ago
HC
Co-op Software Engineer - AI System & Infrastructure
Huawei Canada
Vancouver, British Columbia
- Internship
Work experience in one or more of the following programming languages: C/C++, Go, Java, Rust, python, C#
Added 1 month ago
M
Senior Director, Platform
Miovision
Remote, Canada
- Full-time
- Remote
Build a governed, unified entry point for Miovision's strategic capabilities, utilizing adoption data and developer feedback to continuously improve the ecosystem.
Added 1 month ago
H
Technical Specialist, Senior - Vital Software
Hitachi
Toronto, ON · (RSBU) Toronto
- Full-time
Angular, TypeScript, WebSockets, Java-based back-end development.
Added 5 months ago
A
Field Engineering Co-Op
Acceldata
Kitchener, Ontario
- Internship
Collaborate with the field engineering team to write, test, and deploy software solutions using advanced Java or Scala programming.
Added 5 months ago
A
Sales Engineering Co-Op
Acceldata
Kitchener, Ontario
- Internship
Collaborate with the sales engineering team to write, test, and deploy software solutions using advanced Java or Scala programming.
Added 5 months ago
A
Software Engineering Co-op
Acceldata
Kitchener, Ontario
- Internship
Strong programming skills in languages such as Java or Scala, and Python.
Added 3 months ago
S
Senior Full Stack Engineer, App Runtime
Snowflake
Toronto, Ontario
- $245,250 to $295,250 CAD / year
- Full-time
Build the AI-assisted, agentic development experiences that power App Runtime, spanning the full tech stack - React, Go, Python, and Java
Added 1 month ago
RB
Full Stack Developer, AI
Royal Bank of Canada
Toronto, ON
- Full-time
Develop and maintain full-stack solutions across a diverse tech stack (Java, Python, Node.js, Angular, Spring Boot), contributing to both front-end and back-end features while continuously…
Added 5 months ago
S
Software Architect - AI Accelerated Engineering Lead / Architecte Logiciel
Slalom
Montreal, Quebec
- Full-time
Compétences en programmation : maîtrise de langages comme TypeScript/Node, Python ou Java ; à l’aise avec React/Next et les frameworks modernes.
Added 5 months ago
S
MuleSoft Senior Developer- Enterprise
Slalom
Toronto, Ontario · Greater Toronto Area, Canada
- Full-time
Ability to program in object oriented and/or functional programming languages such as Java, C#, Python, JavaScript, etc.
Added 6 months ago
KC
Senior Manager GRC
KPMG Canada
Toronto, Ontario
- Full-time
Technical skills Java, JavaScript; REST/SOAP, JSON/XML; Python/PowerShell; SQL.
Added 5 months ago
F
Senior Frontend Engineer
Forma.ai
Toronto, Ontario
- $140,000 to $175,000 CAD / year
- Full-time
Improve frontend architecture, performance, accessibility, testing, and developer experience.
Added 5 months ago
O
Développeur en tests logiciels - Software Developer in Test
OneSpan
Montreal, Quebec
- Full-time
Programmation et script : Java (de préférence), Python, C#, JavaScript/TypeScript, Bash, Groovy.
Added 5 months ago
HI
US Portfolio Manager
Hillsdale Investment Management Inc.
Toronto, Ontario · Greater Toronto Area, Canada
- Full-time
Other programming knowledge a plus: R, Polars, Java, MATLAB, C/C++, etc.
Added 3 months ago
EN
Sr Principal SW Systems Engineer (10342)
Extreme Networks
Toronto, ON
- Full-time
Fluent in at least one programming language; expertise in Python, Java, or Go is highly preferred
Added 2 months ago
C
Senior Software Developer (Burnaby)
Clio
Burnaby, BC · Vancouver, BC
- Full-time
…shipping code. We have cross-trained developers coming from Java, Python, C#, and JavaScript backgrounds, and are happy to help you learn Ruby when you get…
Added 1 month ago
OT
Senior Software Developer (Java)
Open Text Corporation
Richmond Hill, ON
- Other
Strong development experience in Java (Spring Boot) and Python for backend and AI-driven application development.
Added 1 month ago
DI
Test Automation Developer - Winter 2027 Co-op/Intern
Definity Insurance Company
Waterloo, ON
- Full-time
Proficiency in at least one programming language such as Java, Javascript or Python
Added 1 month ago
R
Director, DevOps Regulatory Engineering
RBC
Toronto, ON
- Full-time
Strong engineering background in CI/CD, DevOps tooling and cloud platforms, with hands-on experience in Java and Python
Added 1 month ago
A
Senior AI and Agentic Developer
Accenture
Ottawa, ON · Toronto, ON · Montreal, QC
- Full-time
Minimum of 2 years of experience in Engineering teams with one or more programming languages and frameworks, such as Python, JavaScript, Java, Spring or GoLang, showcasing a strong command…
Added 1 month ago
T
Manager, Web & Mobile Delivery (Bilingual)
TVO
Toronto, ON
- Full-time
Hands-on experience designing and building software in at least one modern programming language (e.g., Java, C#, C/C++, Ruby, Python, or JavaScript).
Added 5 months ago
V
Associate AI Software Engineer
VoiceValet
Vancouver, British Columbia
- $60,000 to $80,000 CAD / year
- Full-time
Working knowledge of at least one object-oriented language (Java, C#, C++, or Python)

Acceldata

Field Engineering Co-Op

Kitchener, ON, Canada

$20 - $30 an hour · Internship

Apply About employer

Applications open in a new tab.

Job details

Pay: $20 - $30 an hour
Job type: Internship
Posting language: English
Posted: May 9, 2026

Original job description

About Us

Acceldata is the market leader in Enterprise Data Observability. Founded in 2018, Silicon Valley-based Acceldata has developed the world's first Enterprise Data Observability Platform to help build and operate great data products.

Enterprise Data Observability is at the intersection of today’s hottest and most crucial technologies such as AI, LLMs, Analytics, and DataOps. Acceldata provides mission-critical capabilities that deliver highly trusted and reliable data to power enterprise data products.

Delivered as a SaaS product, Acceldata's solutions have been embraced by global customers, such as HPE, HSBC, Visa, Freddie Mac, Manulife, Workday, Oracle, PubMatic, PhonePe (Walmart), Hersheys, Dun & Bradstreet, and many more. Acceldata is a Series-C funded company whose investors include Insight Partners, March Capital, Lightspeed, Sorenson Ventures, Industry Ventures, and Emergent Ventures.

Summary

As a Field Engineer Co-op at Acceldata, you’ll be working hands-on with complex distributed systems, helping real customers solve deep infrastructure and data observability challenges.

You’ll Get To

Shadow and contribute to field-engineering solutions and architecture reviews.
Dive into diagnostics around performance, scalability, and deployment for large-scale data environments.
Learn how we enable observability across Data, Kubernetes, cloud-native platforms, and Open Source components like spark, hive, kafka etc.
Collaborate directly with the Field Architects to troubleshoot issues and propose improvements.
Learn designing, developing and deploying reusable automation and AI frameworks to enable observability of various data ecosystems and platforms.
Build context across Sales, Product, and Customer Success, understanding how real-world engineering meets customer expectations.
See what it means to turn technical solutions into customer value at scale.

This role is built for future Sales Engineers, Solution Architects, or Platform Engineers who want early exposure to enterprise-scale engineering problems.

If you’re excited by debugging distributed systems, working close to customer impact, and seeing how world-class engineering drives business outcomes, this Co-Op is built for you.

This is a 4 month assignment with required on-site presence at 151 Charles Street West, inside the Communitech Innovation Center.

WHY INTERN WITH US

Gain valuable experience at a fast-growing tech startup in Canada.
Work alongside senior field engineers and architects to solve complex platform reliability and data operations challenges.
Gain hands-on experience with cloud native and distributed systems like Hadoop, Spark, Kafka, Hive, and Kubernetes.
Get mentorship from engineers and architects who’ve scaled infrastructure at leading tech companies.
Opportunity for future employment and career growth. It’s a launchpad into high-impact, customer-facing technical roles.
Join the team that coined the term Data Observability.

Responsibilities

Collaborate with the field engineering team to write, test, and deploy software solutions using advanced Java or Scala programming.
Commit to continuous learning and professional development, adapting to new tools, languages, and platforms as required.
This position is perfect for individuals who are passionate about technology, eager to solve complex business problems, and possess a strong customer-centric mindset.

Requirements

Currently pursuing a degree in Computer Science, Software Engineering, or a related field at the University of Waterloo.
Strong programming skills in languages such as Java, Scala, and Python.Knowledge of data structures, algorithms, and software development principles.
Experience with distributed computing, big data technologies, and cloud platforms is a plus.
Excellent problem-solving and analytical abilities.
Strong understanding and hands-on experience with Kubernetes, including deploying, managing, and scaling applications.
Familiarity with Kubernetes concepts such as Pods, Services, Deployments, StatefulSets, ConfigMaps, and Secrets.
Understanding of the big data ecosystem, including data ingestion, processing, and storage technologies.
Strong communication skills, both verbal and written, to effectively collaborate with cross-functional teams.
Proven ability to work well in a team environment, contributing to a collaborative culture.
Enthusiasm to learn and adapt to new technologies.

Application Documents Required

Co-op Work History
Resume
Grade Report

Compensation And Benefits Information

Apple Mac Equipment
Catered lunch once a week in the office
Gym with onsite showers
Games Rooms
Designated bicycle room
Drinks and snacks

$20 - $30 an hour

The hourly rate offered will vary within the range based on the candidate's education and years of relevant experience. Candidates with more advanced degrees and/or extensive experience may be considered for compensation at the higher end of the range.

Acceldata is an equal-opportunity employer

At Acceldata, we are committed to providing equal employment opportunities regardless of job history, disability, gender identity, religion, race, color, caste, marital/parental status, veteran status, or any other special status. We stand against the discrimination of employees and individuals and are proud to be an equitable workplace that welcomes individuals from all walks of life if they fit the designated roles and responsibilities.

is all about working with some of the best minds in the industry and experiencing a culture that values an ‘out-of-the-box’ mindset. If you want to push boundaries, learn continuously, and grow to be the best version of yourself, Acceldata is the place to be!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Apply About employer

More about this job

Responsibilities

Collaborate with the field engineering team to write, test, and deploy software solutions. Engage in diagnostics around performance, scalability, and deployment for large-scale data environments.

Requirements

Candidates should be pursuing a degree in Computer Science, Software Engineering, or a related field. Strong programming skills and familiarity with distributed computing and big data technologies are preferred.

Skills

Java
Scala
Python
Distributed Computing
Big Data Technologies
Cloud Platforms
Kubernetes
Data Structures
Algorithms
Problem-Solving
Analytical Abilities
Communication Skills
Team Collaboration
Continuous Learning
Adaptability

Benefits

Apple Mac Equipment
Catered Lunch Once A Week In The Office
Gym With Onsite Showers
Games Rooms
Designated Bicycle Room
Drinks And Snacks

Visa sponsorship

Not detected in the job text

Keywords

Enterprise Data Observability
SaaS
DataOps
AI
LLMs
Analytics
Cloud-Native Platforms
Open Source
Hadoop
Spark
Kafka
Hive
Field Engineering
Automation
Technical Solutions
Infrastructure
Data Ecosystems
Software Solutions
Performance
Scalability
Deployment
Diagnostics
Collaboration
Mentorship
Customer Success
Sales Engineers
Solution Architects
Platform Engineers
Problem Solving
Analytical Abilities

Report this job