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Added 5 months ago
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AI Engineer - Remote
Huzzle
Remote, Canada
- Full-time
- Remote
…machine learning solutions. You will work closely with product, engineering, and data teams to design intelligent systems, integrate AI models into production environments, and contribute…
Added 5 months ago
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Product Engineer (Pharma)
Basetwo
Remote, Canada
- Full-time
- Remote
This is a highly cross-functional role that combines engineering expertise, customer engagement, data and simulation analysis, and technical problem-solving. You’ll work directly with…
Added 5 months ago
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Applied AI Scientist (Hybrid)
Homebase
Remote, Canada
- $108,000 to $130,000 CAD / year
- Full-time
- Remote
Partner cross-functionally with Product, Engineering, and Data teams to deliver production-ready solutions
Added 5 months ago
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Applied Scientist, Pro Growth
Thumbtack
Remote, Canada
- Full-time
- Remote
We’re looking for applied scientists with deep expertise in machine learning, optimization, building data products, and/or statistical models. As part of a small product team you will have…
Added 5 months ago
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Software Dev QA Specialist
Fortinet
Burnaby, BC
- Full-time
Proficiency in at least one scripting language: Python, Shell, Ruby, Perl, etc.
Added 5 months ago
S
Associate AI Engineer
ShyftLabs
Toronto, Ontario
- Full-time
Bachelor’s degree in Computer Science, Software Engineering, Data Science, AI, or a related field
Added 5 months ago
LS
AI Toolchain Software Developer
Lattice Semiconductor
Montreal, Quebec
- Full-time
As an AI Toolchain Software Developer, you'll apply emerging agentic AI techniques to transform how we build software, from automated code generation and intelligent testing to AI-assisted…
Added 5 months ago
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Software Engineer, Detection (TOR)
Doppel
Toronto, ON
- $157,000 to $367,000 CAD / year
- Full-time
Doppel is building the future of social engineering defense. Our AI-native platform uses agentic AI to protect executives, employees, customers, and brands from phishing, impersonation,…
Added 1 month ago
Graduate Quant Developer
Squarepoint Capital
Montreal, QC
As a Graduate Quant Developer, you will work on the front line of our quantitative research business, collaborating closely with quantitative researchers and technologists to design, build,…
Added 2 months ago
Sr. Staff Physical Design Timing Engineer (STA)
Lightmatter
Toronto, ON
Lightmatter is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. The company invented the world’s first 3D-stacked photonics engine,…
Added 2 months ago
Data Platform Operations Engineer
Scotiabank
Toronto, ON
The Data Platform Operations Engineer will play a critical role within the Enterprise Data & AI Technology organization - one of Scotiabank’s most significant enterprise-wide strategic…
Added 5 months ago
Network Engineer, Foundation and Support (Edge/Backbone Infrastructure Design)
Meta
Quinte West, Ontario
General knowledge of data center, colocation, and isolated hut environments, including engineering principles related to power and infrastructure
Added 1 month ago
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DevSecOps Engineer
Maxima
Toronto, ON
- Full-time
We are working on some of the hardest problems in enterprise automation, with an engineering team that includes staff-level talent from Robinhood, Glean, Google, Netflix, and Meta. The…
Added 5 months ago
O
Senior Software Developer, Data & MLOps
OSEDEA
Montreal, Quebec
- Full-time
As a Senior Software Developer with strong Data Engineering and MLOps experience, you design, build, and deliver robust data and machine learning solutions for our clients. You combine…
Added 5 months ago
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Senior Software Engineer II
SurveyMonkey
Remote, Canada
- $126,400 to $158,000 CAD / year
- Full-time
- Remote
You will work at the intersection of Data Science and DevOps, building the "connective tissue" that empowers our product portfolio to leverage technologies like Generative AI, Natural…
Added 5 months ago
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Applied Scientist
Waabi
Toronto, ON
- $128,000 to $184,000 USD / year
- Full-time
Strong command of SQL, and familiarity with Python for data manipulation and prototyping.
Added 5 months ago
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IT Projects Co-Op Student
Vale
St. John's, Newfoundland and Labrador · Greater Sudbury, Ontario · Toronto, Ontario
- Full-time
Data Analysis: Ability to perform data cleansing, transformation, and analysis using tools like Excel, Pandas (Python), or similar.
Added 5 months ago
F
Security Researcher
Fortinet
Burnaby, British Columbia
- Full-time
…Fortinet, our mission is to safeguard people, devices, and data everywhere. We are currently seeking a dynamic Security Researcher/Pentester to contribute to the success of our rapidly…
Added 6 months ago
GS
Senior Site Reliability Engineer
Guidewire Software
Remote, Canada
- Full-time
- Remote
…serving the needs of P&C insurance companies in areas such as data management, digital online portals, and predictive analytics. We run these products on the Guidewire Cloud Platform, and…
Added 6 months ago
CT
Market Data Business Analyst
Confluence Technologies
Canada
- Full-time
This is a high-impact role within a lean team, sitting at the intersection of product, data, and engineering.
Added 6 months ago
SA
Staff Research Scientist, Dexterous Manipulation
Sanctuary AI
Vancouver, British Columbia
- Full-time
…robots, is seeking a Staff Research Scientist to join our team in engineering and innovating unique robotic manipulation…
Added 6 months ago
SA
Machine Learning Research Intern (Reinforcement/Imitation Learning)
Sanctuary AI
Vancouver, British Columbia
- Internship
…intern to join our ML team and contribute to our team’s work in engineering and innovating unique robotic manipulation…
Added 4 months ago
RA
Staff Embedded Software Engineer, VCS
Rivian and Volkswagen Group Technologies
Remote, Canada
- $137,300 to $171,600 CAD / year
- Full-time
- Remote
B.S., M.S. or Ph.D. in Computer Science, Electrical Engineering, or a related field
Added 6 months ago
A
Field Engineering Co-Op
Acceldata
Kitchener, Ontario
- Internship
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…
Added 6 months ago
A
Sales Engineering Co-Op
Acceldata
Kitchener, Ontario
- Internship
As a Sales Engineer Co-op at Acceldata Inc, you will work closely with our sales engineering team to support customer-facing initiatives across solution design, pre-sales, and technical…

Acceldata

Field Engineering Co-Op

Kitchener, ON, Canada

$20 - $30 an hour · Internship

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Applications open in a new tab.

Job details

Pay: $20 - $30 an hour
Job type: Internship
Working hours: 40 hours per week
Posting language: English
Posted: May 8, 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, 40 hours per week, with required on-site presence at 151 Charles Street West, inside the Communitech Innovation Center.

\nWHY 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.
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

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.

#LifeAtAcceldata 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!

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More about this job

Responsibilities

Collaborate with field engineering teams to develop, test, and deploy software solutions using Java or Scala. Assist in diagnostics, architecture reviews, and the creation of automation frameworks to enable data observability for customers.

Requirements

Must be a University of Waterloo student pursuing a degree in Computer Science or Software Engineering with strong programming skills in Java, Scala, and Python. Requires hands-on experience with Kubernetes and a solid understanding of the big data ecosystem.

Skills

Java
Scala
Python
Kubernetes
Distributed Systems
Big Data Technologies
Data Structures
Algorithms
Software Development
Cloud Platforms
Data Observability
Troubleshooting
Automation Frameworks
AI Frameworks
Analytical Abilities
Communication Skills

Benefits

Apple Mac Equipment
Catered Lunch
Gym With Onsite Showers
Games Rooms
Designated Bicycle Room
Drinks And Snacks

Visa sponsorship

Not detected in the job text

Keywords

Data Observability
AI
LLMs
Analytics
DataOps
SaaS
Kubernetes
Spark
Hive
Kafka
Hadoop
Cloud Native
Distributed Computing
Java
Scala
Python
Software Engineering
Field Engineering
Solution Architecture
Platform Engineering
Data Ingestion
Data Processing
Data Storage
Communitech Innovation Center
Enterprise Data

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