Lead Software Development Engineer in Test

At Franklin Templeton, we believe success is built through powerful partnerships. As a forward‑thinking asset manager, we build dynamic relationships with clients, understand their goals, and navigate complex markets together. We leverage cutting‑edge strategies and deep insights to unlock opportunities for long‑term wealth creation. Our talented, global teams bring expertise that is both broad and unique.

From our welcoming, inclusive, and supportive culture to our globally diverse business, we offer opportunities not only to help you reach your potential, but also to contribute to our clients’ success.

About the Department

• Analytics Engineering enables advanced analytics and machine learning capabilities across the enterprise. The team partners with data scientists, analysts, and engineers to deliver scalable platforms, trusted data products, and production-ready models. Through strong governance, security, and compliance practices, the department helps accelerate business insights and innovation. Team members gain exposure to modern analytics technologies, enterprise-scale platforms, and complex business challenges. [provide answer to question (What’s it like to work here, and what can someone gain from joining

How You Will Add Value?Core Responsibilities

• You will deliver analytics and MLOps frameworks.

• You will build scalable analytics data pipelines.

• You will create reusable feature engineering pipelines.

• You will support feature store implementation.

• You will implement model lifecycle workflows.

• You will optimize platform performance and cost efficiency.

• You will ensure data quality, validation, and lineage.

Strategic Responsibilities

• You will implement Continuous Integration/Continuous Deployment and DevOps practices.

• You will automate analytics and machine learning workflows.

• You will contribute to agentic pipeline capabilities.

• You will integrate Artificial Intelligence-powered development tools.

• You will optimize data and machine learning workflows.

• You will create reusable analytics framework components.

• You will deliver production-ready data products.

Team & Collaboration

• You will partner with cross-functional teams.

• You will support enterprise analytics initiatives.

• You will apply Artificial Intelligence for troubleshooting and optimization.

• You will improve observability across analytics platforms.

• You will automate technical documentation.

• You will enhance transparency and maintainability.

What Will Help You Be Successful in This Role?Experience

• 5–8 years of analytics, data engineering, or MLOps experience.

• Experience with cloud-native analytics platforms.

• Experience delivering production-grade data products.

• Experience with Agile delivery methodologies.

Technical Skills

• Expertise in Python, Spark, PySpark, and SQL.

• Experience with Amazon Web Services analytics services.

• Knowledge of modern lakehouse architectures.

• Experience with feature engineering and feature stores.

• Knowledge of DevOps and deployment automation.

• Understanding of data governance and lineage.

• Experience with machine learning operations practices.

Soft Skills

• Strong communication and collaboration skills.

• Analytical problem-solving mindset.

• Ability to lead automation and platform improvements.

Education & Certifications

• Bachelor’s or Master’s degree in a relevant technical discipline.

Work Shift Timings - 2:00 PM - 11:00 PM IST

At Franklin Templeton, we believe your benefits should support your life, your goals, and your future. That’s why we offer a comprehensive Total Rewards package designed to help you thrive both personally and professionally.

Highlights of our benefits include:

• Professional development growth opportunities through in-house classes and over 150 Web-based training courses
• An educational assistance program to financially help employees seeking continuing education
• Medical, Life and Personal Accident Insurance benefit for employees. Medical insurance also cover employee’s dependents (spouses, children and dependent parents)
• Life insurance for protection of employees’ families
• Personal accident insurance for protection of employees and their families
• Personal loan assistance
• Employee Stock Investment Plan (ESIP)
• 12 weeks Paternity leave
• Onsite fitness center, recreation center, and cafeteria
• Transport facility
• Child day care facility for women employees
• Cricket grounds and gymnasium
• Library
• Health Center with doctor availability
• HDFC ATM on the campus

Franklin Templeton is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all applicants and existing employees, and we evaluate qualified applicants without regard to ancestry, age, color, disability, genetic information, gender, gender identity, or gender expression, marital status, medical condition, military or veteran status, national origin, race, religion, sex, sexual orientation, and any other basis protected by federal, state, or local law, ordinance, or regulation.