Lead Python Developer

Open Text Corporation•Richmond Hill, ON

12h•Onsite

About The Position

As a global leader in secure information management, OpenText empowers businesses to stay ahead of the ever-evolving cyber threats. Our Cybersecurity Enterprise portfolio is formidable, offering innovative solutions that safeguard organizations from malicious attacks, data breaches, and cyber vulnerabilities. By joining our team, you'll be at the forefront of developing and implementing state-of-the-art security technologies, protecting critical assets and sensitive information for clients worldwide. Our Cybersecurity Enterprise portfolio contains Application Security solutions, and as part of this, OpenText Software Composition Analysis (SCA; formerly known as Debricked), which is an innovative and rapidly growing solution to manage open-source risk. One of the unique and interesting elements of OpenText SCA is that its intake of open-source data is fully automated by an advanced data collection system. The OpenText SCA data science team is responsible for maintaining and expanding this system. This international team is based in Canada and India. Your Impact: As a Lead Python Developer in the OpenText SCA data science team, you will work on enhancing data intake processes and optimizing data pipelines. You will apply many different approaches, depending on the needs of the product and the challenges you encounter. In some cases, we use AI/LLM techniques and we expect the number of such cases to increase Your contributions will directly impact OpenText SCA's scope and quality and will help ensure future commercial growth of the product.

Requirements

8+ years of experience in software engineering, with at least 5 years of Python expertise focused on data pipelines and quality.
A degree in Computer Science or a related discipline.
Expert-level developer with a strong focus on clean architecture, design patterns, and rigorous testing (unit, integration, etc.).
Proficient with Python’s ecosystem, particularly ML and AI libraries.
Strong experience working with complex databases, including planning, evolving, and maintaining database schemas.
Proven ability to build, debug, and optimize complex pipelines processing huge volumes of diverse data.
Capable of pinpointing and resolving bottlenecks to ensure maximum performance with minimal resource consumption.
Basic knowledge of and a strong interest in Application Security (AppSec) and Software Composition Analysis (SCA).
Experience acting as a lead developer, coaching junior team members, leading subprojects, and taking ownership of technical decisions.
Comfortable working in a distributed team and collaborating effectively across different time zones.

Nice To Haves

Ability to quickly build high-quality AI/LLM POCs and scale them into production while balancing business value against operational and API costs.
Hands-on experience with Kubernetes deployment/maintenance and automated CI/CD pipelines.
Knowledge of diverse datastores like Elasticsearch and Neo4j.
Experience working with GCP or other major cloud platforms.

Responsibilities

Develop and optimize data pipelines that improve the efficiency, accuracy, and automation of the OpenText SCA’s data intake processes.
Work closely with developers and product managers from Sweden and India to create impactful, data-driven solutions.
Play an essential role in maintaining and improving the data quality that powers OpenText SCA analysis, improving the product’s competitiveness.
Be innovative and propose new methods and techniques.
Collaborate across teams and leverage OpenText’s resources (including an educational budget) to develop your expertise in data science and AI, expanding your skill set in both traditional and cutting-edge technologies.
Act as a lead developer, coaching junior team members, leading subprojects, and taking ownership of technical decisions.
Collaborate effectively in a distributed team across different time zones.