Why This Role Stands Out
This hybrid role at Edward Jones offers a fantastic opportunity to architect and build enterprise-scale technology solutions, driving modernization and impacting client-facing tools while mentoring fellow engineers. You will thrive here if you possess deep technical expertise, a passion for delivering reliable, high-quality solutions, and enjoy collaborating in a highly regulated industry. Apply now to leverage your skills and grow your career with a reputable firm.
Quick Overview
Job Description
Edward Jones seeks an experienced Engineer IV to design, build, and optimize enterprise-scale technology solutions supporting our finance and insurance platforms. In this role, you will architect secure, resilient systems, lead complex projects from concept through production, and mentor engineers while collaborating with cross-functional partners. You will drive modernization, automation, and data integration efforts that enhance client-facing tools and advisor productivity. Ideal candidates bring deep technical expertise, strong communication, and a passion for delivering reliable, high-quality solutions in a highly regulated industry.
Responsibilities
- Architect and design scalable, secure enterprise systems for finance and insurance platforms
- Lead end-to-end delivery of complex technology projects
- Develop and review high-quality code, tests, and documentation
- Implement integration, APIs, and data pipelines supporting business workflows
- Drive modernization, cloud adoption, and automation initiatives
- Ensure solutions meet security, compliance, and reliability standards
- Troubleshoot and resolve production issues, improving observability and performance
- Collaborate with product, security, and business stakeholders to refine requirements
- Mentor and coach junior and mid-level engineers
- Contribute to engineering best practices, standards, and technical roadmaps
Required Skills
- Enterprise software architecture and design
- Java, C#, or similar object-oriented programming language
- RESTful APIs and microservices
- SQL and relational databases; exposure to No
- SQL or cloud-native data stores
- Cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes)
- CI/CD pipelines and Dev
- Ops practices
- Security, compliance, and identity/access management in regulated environments
- Observability tools (logging, metrics, tracing) and performance tuning
- Automated testing (unit, integration, regression)
- Data integration and ETL pipelines
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