You will work across the full software lifecycle and partner closely with development, quality assurance, documentation, support, product management, and project management. The successful candidate combines strong software engineering depth with sound architectural judgment, customer focus, and the ability to lead teams through ambiguous and time-sensitive technical challenges.
What the role offers
Lead the architecture, design, implementation, testing, and delivery of high-quality software that is scalable, high-performing, secure, maintainable, and robust.
Provide hands-on technical direction for complex features, customer issues, product modernization, and cross-component initiatives.
Diagnose and resolve difficult software problems across application code, integrations, databases, operating systems, and deployment environments.
Raise engineering quality through design reviews, code reviews, automated testing, observability, secure development practices, and continuous improvement.
Mentor developers, share technical expertise, and help establish practical engineering standards and patterns across the team.
Collaborate with stakeholders to clarify requirements, assess trade-offs, manage technical risk, and communicate recommendations and status clearly.
Lead the design and implementation of data-driven capabilities, including data ingestion, feature engineering, model integration, inference workflows, and production monitoring.
Establish practical standards for data quality, experiment design, model evaluation, reproducibility, documentation, and responsible AI development.
Define meaningful success metrics for data science initiatives and communicate findings, limitations, risks, and recommendations to technical and nontechnical stakeholders.
What you need to Succeed
Must Have
Bachelor's or Master's degree in computer science, software engineering, computer engineering, information systems, or a related field, or equivalent practical experience.
7-8+ years of professional software development experience, including experience leading the technical delivery of complex software initiatives.
Strong proficiency in Java, C/C++, C#, .NET, Python, or similar.
Demonstrated experience with software architecture, object-oriented design, APIs, data structures, debugging, testing, and the full software development lifecycle.
Proven ability to troubleshoot complex product and customer issues, perform root-cause analysis, and deliver durable corrective solutions.
Experience delivering enterprise software with high standards for reliability, performance, scalability, security, and maintainability.
Experience applying statistical analysis, experimentation, and machine learning techniques to solve complex product or customer problems.
Proficiency with Python and common data science libraries such as pandas, NumPy, scikit-learn, PyTorch, or TensorFlow.
Experience preparing and analyzing structured and unstructured datasets, including data cleaning, transformation, feature engineering, and data quality validation.
Preferred Qualifications
Experience with cloud platforms, containers, CI/CD pipelines, observability, and secure software supply-chain practices.
Machine learning knowledge, including data preparation, model development or integration, model performance measurement, and responsible use of ML-based capabilities.
Experience with AI evaluation (AI Evals), preferably designing repeatable evaluation datasets and rubrics, measuring quality and safety, comparing model or prompt versions, analyzing failure modes, and integrating automated evaluations into CI/CD workflows.
Experience moving data science and machine learning prototypes into production, including automated pipelines, API integration, deployment, observability, and model performance monitoring.
Experience with natural language processing, embeddings, vector search, retrieval-augmented generation, large language models, or multimodal AI systems.
Experience designing repeatable AI evaluations using representative datasets, clear rubrics, automated metrics, human review, failure-mode analysis, and regression testing.
One last thing
OpenText is more than a corporation—it’s a global community built on trust, character, and purpose. Here, we act ethically, care deeply about people, and always put our clients first. We help teams succeed through collaboration, tackle challenges with resilience, and innovate with intention.
Join us on our mission to drive positive change through privacy, technology, and teamwork. At OpenText, we don’t just have a culture—we live our values. Choose us because you want to be part of a company that empowers you to make a meaningful impact.
OpenText's commitment to diversity and inclusion surpasses legal requirements, evident in our Equal Employment Opportunity Statement of Policy which promotes a respectful and empowering environment for employees of all backgrounds, culture, national origin, race, color, gender, gender identification, sexual orientation, family status, age, veteran status, disability, religion, or other basis protected by applicable laws.
If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please submit a ticket at Ask HR. Our proactive approach fosters collaboration, innovation, and personal growth, enriching OpenText's vibrant workplace.
Compensation: At OpenText, we offer a thoughtfully designed benefits package that supports your physical, emotional, and financial wellbeing. As you move through the hiring process, we’re happy to provide more details about our compensation programs, including variable and commission compensation opportunities for eligible roles, vacation entitlement, and paid time off.
Salary Range: $143,400.00 - $215,000.00; Depending on the candidate’s education, experience, skills, geographical location, and alignment with internal equity and external market, actual salary may vary and be higher or lower than the range posted.
California Residents: The pay range above is a reasonable estimate of salary based on pay scale, candidate experience, skills, and education. In addition to the comprehensive benefits noted above, the role may be eligible for bonus or commissions.
AI Usage Disclosure: As part of our commitment to transparency, we use artificial intelligence (AI) tools to assist in various stages of our recruitment process, including resume screening, candidate matching, interview scheduling, and communications. These tools are designed to improve efficiency, reduce bias, and enhance candidate experience. All decisions regarding hiring are made by qualified human professionals, and we continuously monitor our AI systems to ensure fairness and compliance with applicable regulations.
