acceldata
Senior Software Engineer - Open Data Platform (ODP) | Kitchener, Canada
Be an Early Applicant
Lead the design and development of complex features for the Open Source Data Platform, mentor junior engineers, and drive technical discussions. Ensure high performance and reliability in distributed systems and contribute to open-source projects.
About Acceldata
At Acceldata, we are redefining how enterprises manage, observe, and optimize their data platforms. Our mission is to deliver a unified enterprise-grade data observability and modernization platform that integrates seamlessly across cloud, hybrid, and on-premises environments.
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 organisations run complex analytical workloads at scale while maintaining flexibility and avoiding vendor lock-in.
Product Link : https://www.acceldata.io/open-data-platform
About the Role
We are seeking a Senior Software Engineer with a minimum of 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.
This is a full-time, on-site position, open to candidates with valid work authorisation.
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 optimised 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.
Mandatory Skills & Qualifications
- 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.
Desired Skills (Bonus)
- 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.
Top Skills
Docker
Hadoop
Hive
Java
Kafka
Kubernetes
Linux
Mlflow
Nifi
Pinot
Python
Scala
Spark
Trino
Similar Jobs
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
The Consultant role involves collaborating with clients to develop data-driven strategies, manage stakeholder relationships, and provide insights for business transformation.
Top Skills:
ExcelPowerPointWord
Artificial Intelligence • HR Tech • Information Technology • Machine Learning • Software • App development • Industrial
The Marketplace Operations Manager will oversee P&L for Events & Hospitality, manage marketplace operations, collaborate with data science, drive worker acquisition, and develop metrics for success.
Top Skills:
SQL
.jpg)
Marketing Tech • Mobile • Software
As a Software Engineer II, you'll design and implement components for Braze's machine learning platform, ensuring high coding standards and collaborating closely with teams to facilitate customer success.
Top Skills:
AirflowBigQueryFastapiGCPIbisKubernetesPolarsPysparkPythonSQLTerraform
What you need to know about the Toronto Tech Scene
Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.
