Senior Software Engineer

Jobtailor; North Carolina; On-site; USD 140,000 - 190,000; Full time

Job summary

Jobtailor is seeking a senior software engineer to design, build, and operate low-latency fraud prevention services and APIs across the platform. You will modernize Python services, tooling, and engineering practices while collaborating with data scientists and product teams to productionize fraud capabilities.

The role emphasizes AWS cloud architectures, event-driven patterns, and AI-assisted development, with mentorship responsibilities and a focus on reliability and observability.

Qualifications

• Strong experience building and operating production software systems.
• Deep proficiency in Python and building maintainable services and APIs.
• Strong understanding of cloud architecture and AWS or comparable cloud platforms.
• Experience with infrastructure as code and modern CI/CD practices.
• Experience designing distributed, event-driven, or serverless systems.
• Strong understanding of API design, system integration, reliability, and observability.
• Ability to work effectively in large or complex enterprise codebases.
• Comfortable learning across technologies when needed.
• Experience with Git-based development workflows and modern Python tooling.
• Strong analytical and problem-solving skills.
• Effective communication and collaboration across teams.
• Interest in AI-powered development tools.

Responsibilities

• Design, build, and operate reliable fraud prevention services and APIs.
• Deliver new fraud capabilities and improve production systems individually and collaboratively.
• Modernize Python services, tooling, and standards across the fraud platform.
• Advance the team’s use of AI-assisted software engineering.
• Design and operate cloud-native AWS architectures, including serverless systems.
• Collaborate with data scientists, product teams, and engineers to productionize fraud detection.
• Mentor engineers and establish maintainable patterns and engineering practices.

Skills

Strong production systems experience

Python proficiency

Cloud architecture (AWS)

CI/CD practices

Event-driven / serverless design

API design

Observability and reliability

Git-based workflows

C#/.NET familiarity

Strong problem solving

Effective communication

AI-assisted development interest

Tools

Python

AWS

API Design

Infrastructure as Code

CI/CD

Event-Driven Systems

Git

C#/.NET

Job description

• Design, build, and operate reliable, low-latency fraud prevention services and APIs
• Deliver new fraud capabilities and improve existing production systems individually and collaboratively
• Modernize and standardize Python services, shared patterns, development tooling, and engineering practices across the fraud platform
• Advance the team’s use of AI-assisted and agentic software engineering
• Design and operate cloud-native AWS architectures, including serverless and event-driven systems
• Navigate and modify C#/.NET integration points within Q2’s enterprise banking platform when needed
• Improve observability, testing, deployment practices, and operational reliability across production services
• Partner with data scientists, product teams, and other engineers to bring fraud detection capabilities into production
• Research and apply technologies and engineering approaches that improve the platform
• Mentor engineers and establish maintainable patterns and strong engineering practices

Requirements

• Strong experience building and operating production software systems
• Deep proficiency in Python and experience building maintainable services and APIs
• Strong understanding of cloud architecture and experience designing systems in AWS or a comparable cloud platform
• Experience with infrastructure as code and modern CI/CD practices
• Experience designing distributed, event-driven, or serverless systems
• Strong understanding of API design, system integration, reliability, and production observability
• Ability to work effectively in large or complex enterprise codebases
• Comfortable learning and working across technologies when the problem requires it
• Experience with Git-based development workflows and modern Python development tooling
• Strong analytical and problem-solving skills
• Effective communication skills and ability to collaborate across engineering, data science, and product teams
• Interest in using AI-powered and agentic development tools to improve software engineering workflows
• Fluent written and oral communication in English
• Must be authorized to work for any employer in the U.S.; employment visa sponsorship is unavailable

Core Competencies

Demonstrates strong proficiency in Python and AWS cloud architecture, with a focus on building reliable, low-latency fraud prevention services and APIs. Capable of mentoring engineers and improving software engineering practices through effective collaboration and communication.

Highest-signal resume keywords

• Python Proficiency
• AWS Cloud Architecture
• API Design
• CI/CD Practices
• Event-Driven Systems

ATS Optimization Keywords

Hard Skills

• Python
• AWS
• API Design
• Infrastructure as Code
• CI/CD
• Event-Driven Systems
• Production Software Systems
• Observability
• Git
• C#/.NET

Soft Skills

• Analytical Skills
• Problem-Solving Skills
• Effective Communication
• Collaboration

Industry Keywords

• Fraud Prevention
• Enterprise Banking
• Software Engineering
• Production Reliability

Tools & Technologies

• AI-Assisted Development Tools
• Development Tooling