Sr Software Engineer

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.
What You'll Do
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

• 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.

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
USD 101,500.00 - 169,100.00 per year
Compensation:
Compensation includes a base salary in the range of $101,500.00 - $169,100.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.
Benefits:
The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.
EOE, including disability/vets