Sr Software Engineer | Wealth Management Platform | Python AWS | Hybrid

Living Talent

Atlanta, GA

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JOB DETAILS

SALARY

$165,000–$195,000 Per Year

SKILLS

AWS Lambda, Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Artificial Intelligence (AI), Cloud Computing, Coaching, Communication Skills, Continuous Deployment/Delivery, Continuous Integration, Data Management, Database Extract Transform and Load (ETL), DevOps, Distributed Computing, Docker, Enterprise Applications, Enterprise Architecture, Git, GitHub, Mentoring, Microservices, Python Programming/Scripting Language, Retail, SQL (Structured Query Language), Snowflake Schema, Software Development Lifecycle (SDLC), Software Engineering, Training/Teaching, Wealth Management

LOCATION

Atlanta, GA

POSTED

Today

Wealth Management Platform for Institutional & Retail clients touching the entire Trading Lifecycle

Sr Software Engineer | Python & AWS

Hands-on development | Solutioning | Leading | Mentoring junior developers

Location: Midtown Atlanta
4 days in the office
Flextime, unlimited PTO, robust benefits package
Compensation 165k - 195k

Full Tech Stack

Python
AWS | Lambda, S3, microservices
Git | Bitbucket
Containerization, Scheduling and Orchestration | Docker | K8s | DTB | UAC
Snowflake | SQL
GitHub Copilot

Responsibilities

Design & develop (Python) applications to generate investment models and trade allocations
Support a global trading platform integrating data and application services across the enterprise
Mentor and coach software engineers at all levels; foster collaboration with enterprise architecture and adjacent technology teams
Design cloud-native solutions leveraging AWS microservices, containerization, and orchestration
Own infrastructure decisions in a federated model; provision, configure, and deploy services on AWS without a dedicated infrastructure team
Solve complex data pipeline and orchestration challenges using Snowflake, DBT, and UAC

Requirments

7+ years of enterprise software engineering
Python development
Production AWS (Lambda, S3, microservices, CI/CD pipelines)
Strong data engineering with Snowflake, SQL, ETL, orchestration tools
Kubem Docker, Git, Bitbucket
Claude Code or GithubCoPilot
Comfortable with backend distributed systems, DevOps practices, and cloud infrastructure
Professional experience working with AI tools and models integrated into the software development lifecycle

Soft Skills & Mindset

Strong communication and mentorship abilities
Ability to operate independently while collaborating across teams
Comfort with ambiguity and rapid decision-making in a fast-paced environment
Passion for learning and teaching others

About the Company

Living Talent

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