Application Developer III
$98,400–$199,000 year
On-siteChicago, Illinois, United States or Evansville, Indiana, United States
Job Summary
Own delivery of complex features and small systems through production, resolving ambiguous problems without hand-holding while setting technical direction for your area. Harden prototypes into resilient, compliant production systems and shape how the team applies AI and agentic delivery to ship secure, reliable software faster. Write and review high-quality code, ensuring both human-written and AI-assisted code is validated through automated testing. Design and build AI-enabled systems on Amazon Bedrock, applying guardrails to defend against injection and jailbreaking, while operating AWS cloud-native serverless systems using GitOps CI/CD and Terraform. Mentor peers through pair programming and code-review coaching, partnering with product and security to shape acceptance criteria and apply responsible-AI practices in a regulated environment.
Required Qualifications
- Bachelor's degree in Computer Science or a related field, or equivalent practical experience (at this level, a track record of owning production systems carries the most weight)
- 5–8 years of professional software engineering experience, including ownership of complex, production systems
- Strong proficiency in two or more of Go, Python, and TypeScript, including API design, integration patterns, and cloud-native development
- Experience with AWS, CI/CD, and infrastructure-as-code (Terraform); familiarity with serverless architectures
- Demonstrated ability to build secure, reliable systems and to raise the quality bar for a team through reviews and mentorship
- Experience delivering compliant software in a regulated financial-services environment
Desired Qualifications
- Applied AI / agentic delivery (preferred, grows by level)
- Experience building features that integrate existing AI models - retrieval-augmented generation (RAG), tool/function calling, agent orchestration, evaluations, and guardrails
- Experience with AI evaluation / observability, guardrails, and policy-as-code
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