Franklin Templeton
From Franklin Templeton's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
As a forward thinking asset manager, we build dynamic relationships with clients, understand their goals, and navigate complex markets together.
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.
Our direct team is based in the USA. The team supports batch systems for FADB, our funds accounting database, and for GPW, the downstream system that reports product performance. The immediate team is currently three full-time employees.
We are seeking an experienced and adaptable Software Engineer to design and deliver resilient, secure, well-observed software for Franklin Templeton's Technology & Operations organization, and to raise engineering standards on the team. This is a senior-level individual contributor role with a stronger emphasis on design and system quality.
You will own the design and delivery of services and applications from idea to production and beyond, make sound architecture decisions, build for security and reliability, and help teammates through code review and shared tooling.
Your work gives the business secure, reliable and well-observed platforms.
How you will add value
Core Responsibilities
You will design and build scalable back-end services, batch processes and APIs in Python (Django and FastAPI) and Oracle PL/SQL, developing new code and configuration for complete features.
You will define service health metrics, and use logging, metrics and tracing to find and fix production problems safely, including failures in batch processes.
You will build security into design: authentication, authorization, API protection and secrets management.
Strategic Responsibilities
You will make and document architecture decisions on distributed systems, scalability, high availability and event-driven design, and propose high-level solutions.
You will design GitLab CI/CD pipelines and containerized deployments on AWS (Lambda, ECS Fargate, EC2) that release database, API and application changes together safely, and establish test strategy and automation.
You will design and build AI-enabled features where they add value, and evaluate their quality and safety.
Team & Collaboration
You will review source code and effort estimates of more junior engineers, and build shared libraries and developer tooling.
You will plan and coordinate cutover and implementation activities, build effective working relationships with other technical teams, and resolve ownership questions between teams with evidence.
What will help you be successful in this role
1-4 years of experience
Uses AI assistants as a natural part of their development workflow: for writing code, debugging, writing tests, generating documentation, and exploring unfamiliar domains.
Decomposes a task into parts, translates those parts into effective prompts, and iterates on those prompts until the task is complete.
Treats AI-generated outputs as drafts, not final, and refines them before incorporating.
Actively explores new AI tools, techniques, and capabilities.
4+ years of experience
Approaches system design, architecture, or technical decisions, considering where AI can meaningfully improve the solution, not just the development process.
Evaluates trade-offs between AI-assisted and traditional approaches with practical judgement.
Identifies repetitive, manual, or error-prone processes in their team's work and introduces AI-powered improvements, including but not limited to code reviews, AI-assisted testing, intelligent alerting, or document generation.
Applies advanced prompting techniques to tackle ambiguous, multi-step or domain specific problems.
Technical Environment
Core stack: Python and Oracle PL/SQL, with a Django web application (using Django REST) and FastAPI REST APIs, both running on ECS Fargate.
Operating environment: AWS cloud, with some workloads on Linux EC2 and some container-based (ECS Fargate).
Workflow: Git and GitLab CI/CD, AWS Lambda workflows and S3.
Quality and reliability: service health metrics, logging, tracing, production debugging, automated testing.
Technical and Soft Skills
Strong programming skills in Python, including Django (with Django REST) for web applications and FastAPI for REST APIs.
Solid grounding in system design: distributed systems, scalability, high availability and event-driven patterns.
Strong Oracle SQL and PL/SQL development experience, including performance tuning.
Working knowledge of authentication and authorization, API security and secrets management.
Experience with GitLab CI/CD (or similar), containers and AWS deployment (for example Lambda, S3, ECS Fargate and EC2), and with production monitoring and troubleshooting.
Strong testing discipline, including automation.
Demonstrated experience designing and delivering production systems end to end.
Clear communication, effective teamwork, and the ability to influence peers across teams.
Experience building LLM applications, including retrieval-augmented generation, tool calling, and evaluation of AI output would be a plus.
Experience with Linux on AWS EC2 and with event-driven workflows on AWS Lambda and S3 would be a plus.
Experience mentoring other engineers would be a plus.
Experience in financial services or other regulated environments would be a plus.
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.
Franklin Templeton is committed to maintaining an ethical, transparent, and accountable work environment, which contributes to the integrity and success of the organization. We encourage the reporting of any known or suspected violations of national as well as EU laws through appropriate reporting channels available internally and externally. We ensure that whistleblowers who report such breaches are protected from retaliation and provided with safe and confidential reporting mechanisms.
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