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Hyderabad, Telangana, India
Onsite
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:
The Enterprise Data Platforms team designs and delivers secure, scalable, cloud-native technology solutions that support critical business capabilities. The team brings together software engineers, architects, data specialists, and technology leaders who collaborate to build modern enterprise applications, reusable technology platforms, and artificial intelligence-enabled solutions. Working in this team provides opportunities to lead large-scale modernization initiatives, drive innovation, influence enterprise technology strategy, and work with emerging artificial intelligence technologies in a high-impact environment.
You will lead enterprise application architecture and engineering initiatives.
You will drive an AI-first approach across solutions and processes.
You will design Large Language Model and Agentic AI solutions.
You will build intelligent automation and knowledge-driven applications.
You will architect cloud-native solutions on Amazon Web Services.
You will create reusable platforms, frameworks, and application programming interfaces.
You will modernize solutions using microservices and event-driven designs.
You will advance DevSecOps, automation, and Infrastructure as Code practices.
You will establish architecture standards for security and scalability.
You will mentor engineers and develop technical leaders.
You will partner with cross-functional teams to deliver business outcomes.
You will communicate technology strategy to diverse stakeholders.
Experience, Education & Certifications:
13+ years of software engineering and solution architecture experience.
Experience delivering large-scale enterprise platforms into production.
Proven leadership of high-performing engineering teams.
Experience delivering production-grade Generative AI solutions.
Amazon Web Services Solutions Architect certification or equivalent preferred.
Experience with financial services or regulated industries preferred.
Technical Skills:
Enterprise and end-to-end solution architecture.
Cloud-native and distributed application design.
Microservices and event-driven architectures.
Amazon Web Services cloud services and platform engineering.
Containers, Infrastructure as Code, and DevSecOps practices.
Python, Java, and Spring Boot development.
REST APIs, GraphQL, gRPC, SQL, NoSQL, and enterprise data platforms.
Front-end architecture using Angular, React.js, TypeScript
Soft Skills:
Strong technical leadership and people management skills.
Effective stakeholder engagement and communication.
Strategic thinking and sound decision-making.
Strong problem-solving and ownership mindset.
Ability to translate technical concepts into business value.
Passion for innovation and continuous improvement.
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:
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.
