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.
Technical Leadership
- 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.
Full-Stack & Cross-Platform Development
- 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.
AI-Assisted Engineering & Rapid Prototyping
- 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.
Team Leadership
- 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.
Who You Are
Preferred Qualifications
- 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).
Primary Tech Stack
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