Lead Python Developer

OpenText; Richmond (VA); On-site; USD 150,000 - 190,000; Full time

Job summary

OpenText is seeking a Lead Python Developer to propel data pipelines and optimize data intake within the SCA data science team in the United States. You will guide architectural decisions, mentor teammates, and deliver scalable, high-quality data solutions across distributed teams in Sweden and India.

With 8+ years in software development and 5+ years in Python, you will drive AI/ML innovation, ensure robust testing, and craft resilient data architectures.

Qualifications

• 8+ years of software development experience with at least 5 years in Python focused on data pipelines and data quality.
• Expert-level Python development with clean architecture and rigorous testing (unit, integration).
• Proficient with ML/AI libraries in Python for prototyping and production use.
• Experience leading developers, coaching juniors, and owning technical decisions.
• Strong database and schema design skills for complex data models.

Responsibilities

• Lead the data pipelines and optimize data intake processes.
• Collaborate with cross-geo teams to deliver data-driven solutions.
• Prototype AI/LLM solutions and scale them into production while balancing cost/value.
• Maintain and improve data quality to enhance OpenText SCA analysis and product competitiveness.

Skills

Leadership

Collaboration

Data quality

Software architecture

Testing (unit/integration)

Education

Bachelor's degree in Computer Science

Tools

Python

Kubernetes

CI/CD

Elasticsearch

Neo4j

GCP

ML libraries

Job description

• 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 consumptionAppSec & 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 Neo4jExperience working with GCP or other major cloud platforms