Aws Serverless Typescript Jobs in Georgia (NOW HIRING)

The Senior Software Engineer is a hands‑on leader responsible for driving the full-stack design, development, and delivery of software solutions across one or more small, high-velocity engineering teams. This role operates above the Software Engineer level and blends deep engineering excellence with a modern AI-first mindset - including the ability to rapidly prototype with tools like Claude, Amazon Bedrock, and other GenAI platforms to accelerate team output and innovation.

• Develop and review architectural and technical design decisions for features, services, or platforms.
• Decompose epics and features into technical implementation plans with clear ownership.
• Review and approve technical designs, code changes, and pull requests
• Identify technical risks, dependencies, and trade-offs; propose mitigation strategies.
• Drive root-cause analysis and resolution of complex production issues.

• Design, develop, test, and deploy full-stack applications across the core stack: React / TypeScript (web), Flutter / Dart (mobile & cross-platform), and Python / Node.js (backend).
• Build and maintain scalable REST and GraphQL APIs using AWS API Gateway + Lambda.
• Implement CI/CD pipelines, infrastructure-as-code (AWS CDK / SAM), and blue/green deployment strategies
• Ensure production readiness through observability, automated testing, and monitoring
• AWS Serverless Architecture (Core Competency).
• Lead design and delivery of event-driven, serverless-first architectures on AWS. Deep hands-on expertise across:
• Compute: Lambda, Step Functions
• Data: DynamoDB (primary), S3, Aurora Serverless
• Messaging & Events: SQS, SNS, EventBridge
• API & Auth: API Gateway, Cognito, AppSync
• Observability: CloudWatch, X-Ray
• Infrastructure as Code: CDK, SAM, CloudFormation
• Also responsible for cloud cost optimization, security posture, performance tuning, and defining serverless design patterns and guardrails for the team.

• Rapidly prototype new product concepts using Claude, Amazon Bedrock, and other LLM/GenAI platforms.
• Apply AI-assisted development tools to accelerate code generation, testing, documentation, and code review.
• Evaluate AI-generated outputs for correctness, security, and production readiness.
• Define team-level standards and best practices for AI tool adoption.
• Demonstrate ability to ideate -> prototype -> validate -> ship in tight cycles to support fast-moving engineering teams.

• Serve as the technical anchor for a small, high-velocity scrum team - guiding direction, coaching engineers, and driving accountability.
• Partner with Product Managers, Architects, and QA to align technical direction with organizational goals.
• Mentor mid-level, and junior engineers on design, cloud practices, and AI tool usage.
• Promote a culture of quality, continuous improvement, and learning.

• 6+ years of professional software engineering experience.
• Across web (React/TypeScript), mobile/cross-platform (Flutter/Dart), and backend (Python or Node.js): True full-stack fluency.
• Lambda, DynamoDB, API Gateway, SQS/SNS, EventBridge: Minimum 2 years of hands‑on AWS serverless experience.
• Demonstrated experience with using CI/CD, infrastructure-as-code, and serverless deployment patterns.
• Proven track record of rapid prototyping with AI/GenAI tools in a professional setting.
• Experience leading technical initiatives and mentoring small engineering teams.
• Understanding of prompt engineering, context management, and AI tool limitations.

• Availability for rotational on-call duties outside of standard business hours may be required.

• Bachelor's degree (list any requirements of discipline here) and 4 years' experience in a related field. The right candidate could also have a different combination, such as a master's degree and 2 years' experience; a Ph.D. and up to 1 year of experience; or 16years' experience in a related field.

• Experience with Amazon Bedrock, Claude API, or other LLM integrations.
• Familiarity with AWS CDK or SAM for infrastructure provisioning.
• Exposure to agentic AI workflows and multi-agent systems.
• AWS certification (Solutions Architect, Developer, or equivalent).

Layer

Technologies

Web Frontend

React, TypeScript

Mobile / Cross-Platform

Flutter, Dart

Backend

Python, Node.js

Database

DynamoDB, S3, Aurora Serverless

Serverless / Cloud

AWS Lambda, Step Functions, API Gateway, SQS, SNS, EventBridge, Cognito, AppSync

DevOps / IaC

GitHub, AWS CDK / SAM, CloudFormation, CI/CD pipelines

Observability

CloudWatch, X-Ray

AI Tools

Claude, Amazon Bedrock, LLM APIs