Sr Software Engineer

About the Role

This is a hands-on leadership position responsible for driving the full-stack design, development, and delivery of software solutions across one or more small, high-velocity engineering teams. The role blends deep engineering excellence with a modern AI-first mindset, including rapid prototyping with tools like Claude, Amazon Bedrock, and other GenAI platforms to accelerate team output and innovation.

Responsibilities

• 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 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 with deep hands-on expertise in:
    • 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
  • 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, and 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.

Requirements

• 6+ years of professional software engineering experience.
• True full-stack fluency across web (React/TypeScript), mobile/cross-platform (Flutter/Dart), and backend (Python or Node.js).
• Minimum 2 years of hands-on AWS serverless experience with Lambda, DynamoDB, API Gateway, SQS/SNS, EventBridge.
• Demonstrated experience with 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 and 4 years' experience in a related field, or equivalent combination (e.g., master’s degree and 2 years' experience, Ph.D. and up to 1 year of experience, or 16 years' experience in a related field).

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).

Tech Stack

• 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

Pay

Base salary range: $101,500.00 – $169,100.00 per year. The base salary may vary within this range based on factors such as location and the selected candidate’s knowledge, skills, and abilities. The position may also be eligible for additional compensation through an incentive program.

Benefits

• Flexible vacation policy with pay, as deemed consistent with duties and company needs.
• Seven paid holidays throughout the calendar year.
• Up to 160 hours of paid wellness time annually for personal or family wellness.
• Additional paid time off for bereavement, voting, jury duty, volunteer activities, military leave, and parental leave.