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 Data Ops. 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, Pub Matic, Phone Pe (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.
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.
- 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.
- 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.
- 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, Stateful Sets, Config Maps, 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…
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