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Software Engineer - Open Data Platform (ODP)

  • Kitchener, ON, Canada

$70,000 to $100,000 CAD / year · Full-time

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Job details

Pay
$70,000 to $100,000 CAD / year
Job type
Full-time
Apply by
Posting language
English
Posted

Original job description

About Us
Acceldata is the market leader in Enterprise Data Observability. Founded in 2018 and backed by top investors including Insight Partners, March Capital, Lightspeed, Sorenson Ventures, Industry Ventures, and Emergent Ventures, we are a Series-C funded company headquartered in Silicon Valley.

Our Enterprise Data Observability Platform - the first of its kind - helps enterprises build and operate world-class data products by ensuring data is reliable, trusted, and ready to power today’s most critical technologies, including AI, LLMs, Analytics, and DataOps.

Delivered as a SaaS solution, Acceldata is trusted by leading global organizations such as HPE, HSBC, Visa, Freddie Mac, Manulife, Workday, Oracle, PubMatic, PhonePe (Walmart), Hershey’s, Dun & Bradstreet, and many more.

About The Role
We are seeking a Software Engineer with at least 3 years of experience in distributed systems or data platform development. In this role, you will design, build, and scale components of the Acceldata Open Data Platform (ODP), contributing to open-source technologies and solving real-world challenges in large-scale data infrastructure.

WHY JOIN US
At Acceldata, you won’t just be writing code; you’ll be shaping the foundation of modern data platforms used by some of the world’s largest enterprises. You’ll work alongside seasoned engineers and open-source contributors who are passionate about solving complex distributed systems challenges at scale. Every project you take on will directly impact how a data platform is managed, observed, and optimized across hybrid and cloud ecosystems.

This is your chance to build technology that truly matters, software that drives mission-critical pipelines, scales to petabytes, and influences the open-source community at large. We move fast, value creativity, and reward innovation. If you’re looking for a place where your ideas can become real systems and your work can be seen, used, and respected across the data ecosystem, Acceldata is where you belong.

Responsibilities

  • Design, develop, and maintain high-quality software for the Open Source Data Platform
  • Collaborate with cross-functional teams to define, design, and implement new features
  • Utilize mandatory Linux skills and expertise
  • Write clean, well-tested, and efficient code in Java, Python, or Scala
  • Participate in code reviews and contribute to architectural discussions
  • Debug and resolve technical issues, ensuring optimal performance and stability
  • Continuously learn and stay up-to-date with industry best practices and emerging technologies
  • Work across diverse environments: Bare Metals, VM, and Kubernetes



Requirements

  • Mandatory proficiency in Linux to facilitate code deployment and execution
  • Familiarity with Kubernetes, Docker, and cloud environments is a plus
  • Extensive hands-on experience in programming with either Java or Scala and Python
  • Developed and prepared project build models associated with Maven, Gradle, or SBT
  • Experienced in Github & Nexus management and its use cases
  • Strong coding, debugging, and troubleshooting capabilities to resolve issues, enhance software applications, and ensure seamless deployment
  • In-depth understanding of fundamental software engineering concepts such as thread/process management, database management, virtualisation, and distributed computing
  • Demonstrated expertise in prior projects and contributions, as detailed in the curriculum vitae or resume
  • Demonstrated fluency in English communication
  • Strong capacity for collaboration with internal teams, external contributors, and the broader open-source community
  • Ability to communicate effectively with senior leadership, presenting technical accomplishments and strategic insights



Preferred Skills

  • Contributed to Apache or open source projects
  • Possess experience with Bigdata stacks or components and deployed applications
  • Developed in-house automation for platform management



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 also believe in providing our employees with the right tools and resources to help them excel at their jobs. We offer:


  • PTO Plan with unlimited negative balance
  • RRSP Plan
  • Up to 100% employer-paid benefit options for health, dental, and vision coverage
  • Supplemental Benefits
  • Apple Air Mac Equipment
  • Office gym access (includes workout equipment, basketball court, and showers)
  • Becoming part of the team that coined the term “Data Observability”!



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.
More about this job

Responsibilities

Design, develop, and maintain software components for the Open Data Platform, contributing to open-source technologies and building for large-scale data infrastructure. Collaborate across teams on features and architecture, write and review code, and troubleshoot issues to ensure platform performance and stability across bare-metal, virtual machine, and Kubernetes environments.

Requirements

Requires at least three years of experience in distributed systems or data platform development, strong Linux proficiency, and hands-on programming experience with Java or Scala and Python. Candidates should also have experience with Maven, Gradle, or SBT, GitHub and Nexus, and core software engineering concepts including process and thread management, databases, virtualization, and distributed computing.

Skills

  • Linux
  • Java
  • Scala
  • Python
  • Distributed Systems
  • Data Platform Development
  • Kubernetes
  • Docker
  • Cloud Environments
  • Maven
  • Gradle
  • SBT
  • GitHub
  • Nexus
  • Debugging And Troubleshooting
  • Database Management

Benefits

  • Unlimited Negative Balance Paid Time Off
  • RRSP Plan
  • Employer-Paid Health, Dental, And Vision Benefits
  • Supplemental Benefits
  • Apple Mac Equipment
  • Office Gym Access

Visa sponsorship

Not detected in the job text

Categories

  • Software
  • Technology
  • Data & Analytics
  • Engineering

Keywords

  • Open Data Platform
  • Data Observability
  • Linux
  • Java
  • Scala
  • Python
  • Distributed Systems
  • Data Infrastructure
  • Kubernetes
  • Docker
  • Cloud Environments
  • Bare Metal
  • Virtual Machines
  • Maven
  • Gradle
  • SBT
  • GitHub
  • Nexus
  • Apache
  • Open Source
  • Big Data
  • DataOps
  • Database Management
  • Thread Management
  • Process Management
  • Virtualization
  • Code Reviews
  • Software Engineering
  • Platform Automation

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