Software Engineer - Python

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, Governance & Integration Platforms Engineering team builds and manages foundational data, API, integration, and application platforms that enable scalable, secure, and reliable data, analytics, AI, and business solutions across the enterprise.

The team develops cloud-native services, reusable engineering frameworks, APIs, and platform capabilities using AWS, Azure, modern software engineering practices, CI/CD automation, and AI-assisted development. We partner with data, analytics, application development, infrastructure, security, governance, and AI teams to deliver enterprise-scale platform capabilities and cloud-native solutions.

How You Will Add Value You will design, develop, test, and maintain reusable data engineering frameworks, APIs, SDKs, and platform services using Python and AWS.You will build scalable cloud-native components supporting batch, real-time, and event-driven data processing.

You will develop configurable frameworks for data ingestion, transformation, orchestration, and delivery across structured and unstructured data sources.

You will contribute to enterprise Data Lake and event-driven platform capabilities that enable reusable and self-service engineering patterns.

You will develop and maintain automated delivery pipelines using Git Lab CI/CD, Terraform, and Infrastructure as Code.

You will apply software engineering best practices for automated testing, security, observability, performance, reliability, and production support, including troubleshooting and root-cause analysis.

You will develop technical documentation, reusable patterns, examples, and onboarding guidance that enable engineering teams to effectively adopt platform capabilities.

You will leverage AI-assisted development tools and coding agents to improve software development, testing, debugging, documentation, and engineering productivity while maintaining enterprise security, governance, and quality standards.

You will collaborate with architects, data engineers, AI engineers, application teams, product teams, and other stakeholders to translate business and technical requirements into scalable solutions.

You will communicate and present technical designs, platform capabilities, demonstrations, and implementation approaches clearly to both technical and non-technical stakeholders.

You will participate actively in design reviews, technical discussions, demonstrations, and knowledge-sharing sessions while taking ownership of assigned capabilities from development through production support.

What Will Help You Be Successful in This Role

Required Qualifications 4+ years of software engineering experience, preferably in data platforms, backend development, platform engineering, frameworks, or cloud-native application development.

Strong hands-on development experience with Python, including object-oriented programming, software design principles, testing, and reusable component development.
2+ years of hands-on AWS experience building cloud-native solutions using services such as S3, Lambda, Glue, EMR, ECS/EKS, Event Bridge, Kinesis, Step Functions, or similar technologies.

Experience developing reusable frameworks, APIs, libraries, SDKs, or shared platform services.

Understanding of distributed systems, event-driven architectures, data processing patterns, scalability, and performance considerations.

Experience with Git, CI/CD pipelines, Infrastructure as Code, and deployment automation;
Git Lab and Terraform experience is preferred.

Experience with automated testing, troubleshooting, monitoring, and supporting applications or platform services in production environments.

Excellent communication, presentation, and stakeholder collaboration skills, with the ability to clearly explain technical concepts, present solutions and demonstrations, and work effectively with engineering, architecture, product,…