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Job Post Details

Field Engineering Co-Op - job post

Acceldata
Kitchener, ON
$20–$30 an hour - Full-time, Internship / Co-op
You must create an Indeed account before continuing to the company website to apply

Job details

Pay

  • $20–$30 an hour

Job type

  • Internship / Co-op
  • Full-time

Location

Kitchener, ON

Benefits

Pulled from the full job description

  • On-site gym

Full 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.

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.
  • 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!
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.
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