Senior Software Developer

About ETS:

ETS is a global education and talent solutions organization enabling lifelong learners worldwide to be future-ready. For more than 75 years, we've been advancing the science of measurement to build benchmarks for fair and valid skill assessment across cultures and borders. Our worldwide impact extends through our renowned assessments including TOEFL®, TOEIC®, GRE® and Praxis® tests, serving millions of learners in more than 200 countries and territories. Through strategic acquisitions, we've expanded our global capabilities: PSI strengthens our workforce assessment solutions, while Edusoft, Kira Talent, Pipplet, Vericant, and Wheebox enhance our educational technology and assessment platforms across critical markets worldwide.

Through ETS Research Institute and ETS Solutions, we're partnering with educational institutions, governments, and organizations globally to promote skill proficiency, empower upward mobility, and unlock opportunities for everyone, everywhere. With offices and partners across Asia, Europe, the Middle East, Africa, and the Americas, we deliver nearly 50 million tests annually. Join us in our journey of measuring progress to power human progress worldwide.

We are seeking a Senior Software Developer with strong experience in AI systems, MLOps, and production software engineering to help bridge research and product development. This role focuses on operationalizing proprietary and in-house machine learning and large language models into scalable, secure, and reliable production services.

Key Responsibilities:

AI Systems Development & Deployment

• Design, develop, and deploy production-grade AI and ML systems using proprietary, in-house, or fine-tuned models.

• Operationalize large language models (LLMs), agentic systems, and other AI technologies into scalable APIs and services.

• Fine-tune, evaluate, and optimize models for production performance, reliability, cost efficiency, and safety.

• Build and maintain infrastructure for model training, fine-tuning, inference, and serving.

• Implement monitoring, logging, and observability systems to track model performance, drift, and system health.

• Ensure secure, compliant deployment of AI systems by handling sensitive educational data.

MLOps & Platform Engineering:

• Design and implement CI/CD pipelines for ML models and AI applications.

• Develop automated workflows for model training, versioning, testing, deployment, and rollback.

• Build scalable infrastructure for models serving cloud-native and containerized environments.

• Implement evaluation of pipelines, A/B testing, and feedback loops to continuously improve model quality.

• Support lifecycle management of models from research prototypes to production systems.

Collaboration & Communication:

• Work closely with teams across ETS to deliver new functionality and support existing services.

• Partner with peers and leads to guide development approaches and share knowledge.

• Communicate technical updates, risks, and recommendations clearly to stakeholders and vendors.

Continuous Improvement & Innovation:

• Proactively identify system or process gaps and recommend targeted improvements.

• Explore and help implement new technologies that enhance development capabilities.

• Support rollout, user training, and knowledge transfer for new applications and features.

Expected Deliverables:

• Production deployment of reliable, scalable AI-powered systems and services.

• Successfully operationalized proprietary or in-house ML and LLM models.

• Robust infrastructure supporting model training, deployment, monitoring, and iteration.

• Clear documentation of system architecture, model lifecycle, and engineering processes.

• Contributions to new AI-driven product capabilities that deliver measurable user and business value.

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Experience and Skills:

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, Machine Learning, or related field.

• 4+ years of software engineering experience, with demonstrated experience deploying ML or AI systems into production.

• Demonstrated programming skills and general knowledge of information processing technology.

• Extensive experience with software engineering standards, practices, methods, and tools.

• Ability to interact effectively with all departments and employee levels.

• Must be able to demonstrate a proactive approach to problem resolution, attention to detail, and the ability to be part of a team-oriented (cross process/function/group) environment.

• Proficiency with Windows and Unix operating systems.

• Ingenuity and demonstrated proficiency in developing technical strategies.

• Ability to work independently on multiple projects simultaneously.

• Demonstrated ability to develop technical solutions that adhere to corporate business objectives.

• Excellent interpersonal, verbal, and written communication skills.

• Must have strong analytical skills.

ETS is mission driven and action oriented

• We are passionate about hiring innovative thinkers who believe in the promise of education and lifelong learning.
• We are energized by cultivating growth, innovation, and continuous transformation for the next generation of rising professionals as leaders. Â In support of this ETS offers multiple Business Resource Groups (BRG) for you to learn and advance your career growth!
• As a not-for-profit organization we will encourage you to lean in to your passion for volunteering. Â At ETS you may qualify for up to an additional 8 hours of PTO for volunteer work on causes that are important to you!
• The base salary range advertised represents the low and high end of the anticipated salary range for this position. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. The base pay is only one aspect of the Total Rewards Package that will be offered to the successful candidate.

ETS is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, sexual orientation, gender identity, or any other characteristic protected by law. We believe in creating a work environment where all individuals are treated with respect and dignity.
From: Educational Testing Service