O
OpenText
Lead Python Developer
Skills
Google Cloud PlatformPythonNeo4jMachine LearningAIElasticsearchKubernetes
2 months ago
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Important information
Contract type:
Permanent
Location:
Richmond, VA, USA
Work mode:
Onsite
Published on:
26 August 2026
What they need
- Hiring Manager: Frans van Buul
- 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
- Innovative Data Solutions: Develop and optimize data pipelines that improve the efficiency, accuracy, and automation of the OpenText SCA’s data intake processes
- Collaborative Environment: Work closely with developers and product managers from Sweden and India to create impactful, data-driven solutions
- Continuous Improvement: Play an essential role in maintaining and improving the data quality that powers OpenText SCA analysis, improving the product’s competitiveness. We expect the Lead developer to be innovative and propose new methods and techniques
- Skill Development: 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- 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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