Quantitative developer • des moines ia
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The average salary range is between $ 130,181 and $ 166,410 year , with the average salary hovering around $ 130,200 year .
The average salary range is between $ 124,692 and $ 200,000 year , with the average salary hovering around $ 152,941 year .
Purpose:
Athene is seeking a technical leader to drive the direction and delivery of an AI-native, event-driven platform powering insurance workflows. This is a hands-on individual contributor role focused on designing and building distributed systems, ensuring production reliability, and advancing how AI is applied across the software development lifecycle.Accountabilities:
What You’ll Own
End-to-end platform architecture across workflow, document, intake, and data model services
Reliability and performance of business-critical production systems
Technical strategy, roadmap, and engineering standards
Adoption of AI-driven, spec-first development practices
What You’ll Do
Lead design and delivery of event-driven, distributed systems with a focus on simplicity and scalability
Establish and model spec-first, AI-augmented development workflows
Ensure production excellence through strong observability, incident response, and operational practices
Drive automation across testing, deployment, and operational processes
Mentor engineers and help scale team capabilities and standards
How You Think
Systems-oriented and pragmatic, balancing scale, reliability, and simplicity
Spec-first and AI-native in your development approach
Operator-minded, with a focus on production readiness
Focused on reducing complexity and enabling team effectiveness
Qualifications and Experience:
Bachelor’s degree in a related field or equivalent experience, with 6+ years of experience building and delivering software or data-driven solutions, including recent work applying AI in real-world use cases
Experience designing and operating complex, distributed systems at scale
Strong foundation in building reliable, secure, and well-observed production systems
Ability to define and drive technical direction while mentoring and guiding other engineers
Hands-on experience applying AI in development workflows, with a spec-driven approach to building and delivering solutions
Product-oriented mindset with the ability to rapidly iterate, test, and deliver business value
Focus on automation, simplicity, and long-term health
Strong communication skills, with the ability to align teams around technical decisions and architecture
Experience working in regulated or enterprise environments (preferred)
