About The Role

Join OpenText as a Lead Python Developer in the SCA data science team. You will enhance data intake processes, optimize data pipelines, and apply various approaches to meet product needs. Your contributions will directly impact the scope and quality of OpenText SCA, ensuring future commercial growth. You will work closely with developers and product managers from Sweden and India, maintain and improve data quality, and collaborate across teams to develop your expertise in data science and AI.

Enhancing data intake processes and optimizing data pipelines, including the application of AI/LLM techniques.
Collaborating with developers and product managers to create impactful, data-driven solutions and maintaining data quality.
Leading the development team, coaching junior members, and taking ownership of technical decisions.
Data Pipelines & Optimization: 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
AppSec & SCA: Basic knowledge of and a strong interest in Application Security (AppSec) and Software Composition Analysis (SCA)
Leadership: Experience acting as a lead developer, coaching junior team members, leading subprojects, and taking ownership of technical decisions
Database & Schema Design: Strong experience working with complex databases, including planning, evolving, and maintaining database schemas
Experience: 8+ years of experience in software development, with at least 5 years of Python expertise focused on data pipelines and quality
Software Architecture & Python: 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
Education: A degree in Computer Science or a related discipline
Collaboration: Comfortable working in a distributed team and collaborating effectively across different time zones
AI & Prototyping: Ability to quickly build high-quality AI/LLM POCs and scale them into production while balancing business value against operational and API costs
DevOps & CI/CD: 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

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