Software Engineer III - AWS Architecture

JPMorgan Chase & Co.; Plano (TX); On-site; USD 120,000 - 150,000; Full time

Job summary

A leading financial services firm in Texas seeks a Software Engineer III to design and deliver large-scale AWS based technology solutions. Candidates should have 5+ years of hands-on experience with AWS architectures, proficiency in serverless systems, and familiarity with tools like PostgreSQL and Spark. This role offers an exciting opportunity to work in an agile team environment, driving improvements in software quality and system architecture.

Qualifications

• 5+ years of experience in AWS architectures and system design.
• Proficient in messaging patterns like SQS/SNS.
• Hands-on in RDS/PostgreSQL maintenance and performance tuning.

Responsibilities

• Design and develop large-scale AWS-based technology solutions.
• Implement end-to-end observability and incident response.
• Proactively identify issues in data and improve coding practices.

Skills

AWS Lambda

Kubernetes

Serverless systems

Software development

Data processing

Tools

PostgreSQL

Spark

OpenSearch

Job description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorgan Chase within the AWM LOB, you serve as a seasoned member of an agile team to design and deliver large-scale trusted market-leading technology products in a secure, stable, and scalable way on AWS Cloud. You are responsible for designing, developing and deploying critical AWS based technology solutions across multiple technical areas in support of the firm’s business objectives.

Job Responsibilities

• Distributed data processing (Spark), schema governance, and data quality controls
• Design and develop Messaging patterns with SQS/SNS, DLQs, idempotency, and exactly-once/effective-once processing
• RDS/PostgreSQL performance tuning, partitioning, and high availability
• OpenSearch operations, indexing strategy, and cost/performance optimization
• End-to-end observability (metrics, logs, traces), on-call readiness, and incident response
• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Contributes to software engineering communities of practice and events that explore new and emerging technologies

Required Qualifications, Capabilities, and Skills

• 5+ years hands-on practical experience in system design, application development, testing, and operational stability for large-scale, event-driven AWS architectures using AWS Lambda, Kubernetes/EKS and ECS workload orchestration, scaling, and resiliency
• Design and develop Serverless systems (Lambda), cold start mitigation, and observability
• Designing, implementing and operating large-scale, event-driven AWS architectures
• AWS Lambda, Kubernetes/EKS and ECS workload orchestration, scaling, and resiliency
• Proficient in Serverless systems like AWS Lambda using Messaging Patterns like SQS/SNS and DLQs
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Hands on experience of RDS/PostgreSQL performance tuning, partitioning, and high availability
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred Qualifications, Capabilities, and Skills

• Deep Experience in cloud technologies, and Artificial Intelligence Models