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Remote Software Testing Jobs in Kitchener Waterloo, ON

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Remote Software Testing information

What is remote software testing?

Remote software testing is the process of evaluating and verifying the functionality, performance, and security of software applications from a location outside the traditional office environment. Testers use various tools and platforms to access applications, execute test cases, report bugs, and collaborate with development teams online. This approach allows companies to leverage global talent, reduce costs, and offer flexible work arrangements while maintaining high-quality software standards.

What are the key skills and qualifications needed to thrive as a Remote Software Tester, and why are they important?

To thrive as a Remote Software Tester, you need a solid understanding of software development lifecycle, test case design, bug reporting, and typically a degree in computer science or related fields. Familiarity with testing tools such as Selenium, JIRA, TestRail, and knowledge of automation frameworks or ISTQB certification is often required. Attention to detail, strong problem-solving skills, effective communication, and self-motivation are essential soft skills in this remote role. These skills ensure accurate testing, clear documentation, and seamless collaboration with distributed teams, leading to higher software quality.

What is the difference between Remote Software Testing vs Remote QA Analyst?

AspectRemote Software TestingRemote QA Analyst
CredentialsBasic testing certifications, knowledge of testing toolsTesting certifications, QA methodologies, sometimes degree in IT or related fields
Work EnvironmentRemote, often project-based, collaborative teamsRemote, involved in testing, documentation, and process improvement
Industry UsageSoftware development, tech companies, startupsSoftware companies, IT firms, product development teams
Search & Comparison IntentUnderstanding testing roles, entry-level testing jobsQA processes, quality assurance careers, detailed QA roles

Remote Software Testing focuses on executing test cases and identifying bugs, often requiring basic certifications and technical knowledge. Remote QA Analysts have a broader role, including testing, process analysis, and quality improvement, often with additional certifications. Both roles are remote and industry-specific, but QA Analysts typically engage in more comprehensive quality assurance activities.

How do remote software testers effectively communicate and collaborate with development teams?

Remote software testers typically use a variety of collaboration tools such as project management platforms, instant messaging, and video conferencing to stay connected with developers and other stakeholders. Clear, timely communication is essential for reporting bugs, sharing test results, and discussing requirements or issues. Regular stand-up meetings and detailed documentation help ensure everyone stays aligned, even when working across different time zones. Building strong relationships with team members and proactively raising concerns can also improve workflow and project outcomes.
What cities near Kitchener Waterloo, ON are hiring for Remote Software Testing jobs? Cities near Kitchener Waterloo, ON with the most Remote Software Testing job openings:
Remote Software Testing jobs near you
Infographic showing various Remote Software Testing job openings in Kitchener Waterloo, ON as of July 2026, with employment types broken down into 70% Full Time, and 30% Contract. Highlights an 100% Remote job distribution.
Senior Software Engineer - Open Data Platform (ODP)

Senior Software Engineer - Open Data Platform (ODP)

Acceldata

Kitchener, ON • On-site, Remote

CA$100K - CA$140K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 25 days ago

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 Senior Software Engineer with at least 7 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.
 
The Acceldata Open Data Platform (ODP) brings together the best of the modern data ecosystem, including technologies such as Hadoop, Spark, Hive, Trino, Kafka, NiFi, MLFlow, Pinot, and more, to help organizations run complex analytical workloads at scale while maintaining flexibility and avoiding vendor lock-in.
 
Product Link: https://www.acceldata.io/open-data-platform
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
  • Lead the design, development, and implementation of complex features for the Open Source Data Platform.
  • Architect scalable and robust solutions, ensuring high performance and reliability.
  • Mentor and guide junior software engineers, fostering a culture of continuous learning and growth.
  • Drive technical discussions and provide expertise in technology selection and best practices.
  • Contribute to the strategic direction of the Open Source Data Platform project.
  • Perform thorough code reviews, ensuring code quality, maintainability, and adherence to standards.
  • Work across diverse environments: Bare Metals, VM, and Kubernetes.
REQUIREMENTS
  • Mandatory Linux proficiency for automation and efficient use of Linux shortcuts for troubleshooting.
  • Familiarity with Kubernetes, Docker, and cloud environments.
  • Ability to manage threads and debug issues related to deadlocks or memory leaks.
  • Strong comprehension of garbage collection tuning and management challenges.
  • Extensive hands-on experience with advanced Java, Scala, or Python, developed and prepared project build models associated with Maven, Gradle, or SBT.
  • Experienced in Github & Nexus management and its use cases.
  • Profound understanding of software engineering, database concepts, virtualisation and architectural patterns.
  • Comprehensive knowledge and a history of significant contributions to past projects.
  • Past experience of mentoring junior engineers in handling critical issues or tasks.
  • Proven capability in fixing bugs and developing new features within complex software systems.
  • Experience working with Big data stack or its ecosystem components, utilizing appropriate frameworks for application development.
  • Demonstrated fluency in English communication.
  • Ability to communicate effectively with senior leadership, presenting technical accomplishments and strategic insights.
  • Strong capacity for collaboration with internal teams, external contributors, and the broader open-source community.
PREFERRED SKILLS
  • Demonstrated history of contributions or a committer role in Apache projects (e.g., bug fixes, feature development, documentation).
  • Proficiency in identifying performance bottlenecks within big data applications and frameworks.
  • Experience with the migration of applications, Hadoop-based distributions, or data streaming platforms.
  • Familiarity with distributed systems and architectural patterns optimised for scalable data processing.
$100,000 - $140,000 a year
The hiring pay range provides a guide for what we would reasonably pay for the position. Pay is determined by various factors including market demand, applicable skills, work experience and education, location, company budget, and in-demand skill sets.
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 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.
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