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 GitLab 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, EventBridge, 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; GitLab 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, security, infrastructure, and business stakeholders.
Strong analytical and problem-solving skills with the ability to take ownership of technical deliverables from development through production.
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Preferred Qualifications
Experience with AWS services such as EMR Serverless, Athena, Lake Formation, DynamoDB, OpenSearch, or Bedrock.
Experience with Docker, Kubernetes, ECS/EKS, and microservices architectures.
Experience with real-time and event-driven technologies such as Kafka, Kinesis, or EventBridge.
Experience with workflow orchestration technologies such as Airflow or Step Functions.
Familiarity with Java as a secondary programming language.
Experience with observability technologies such as CloudWatch, Datadog, OpenSearch, or similar platforms.
Familiarity with AI coding assistants, coding agents, AI-enabled development workflows, and Agentic AI concepts.
Experience contributing to reusable internal engineering frameworks, shared libraries, or inner-source/open-source projects.
AWS certifications are a plus.
Work Schedule & Location
This role will work a hybrid schedule three days per week in our Franklin Templeton location, Baltimore.
Franklin Templeton offers employees a competitive and valuable range of total rewards, monetary and non-monetary, designed to support their well-being and recognize their time, talents, and results. Along with base compensation, employees are eligible for an annual discretionary bonus, a 401(k) plan with a generous match, and recognition rewards. We also offer a comprehensive benefits package, which includes a range of competitive healthcare options, insurance and disability benefits, an employee stock investment program, learning resources, career development programs, reimbursement for certain education expenses, paid time off (vacation / holidays / sick / leave / parental and caregiving leave / bereavement / volunteering / floating holidays), and a motivational wellbeing program. We expect the annual salary for this position to range between $128,100 - $150,800, depending on location and level of relevant experience, plus discretionary bonus.
#LI-Hybrid
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
Paid Time Off: Three weeks of PTO in your first year
Health Coverage: Competitive medical, dental, and vision insurance to support your well-being
Retirement Savings: 401(k) plan with an 85% company match on pre-tax and/or Roth contributions, up to IRS limits
Equity & Investing: Employee Stock Investment Plan (ESIP) with discounted share purchase opportunities
Learning Education Assistance Program (LEAP): To support your ongoing growth and career advancement
Employee Investment Benefits: Opportunity to purchase company funds with no sales charge
Franklin Templeton is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all applicants and 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.
Artificial intelligence or automated tools may be used to assist in the screening, assessment, or selection of applicants for this position.
