Senior Software Engineer

We are seeking a skilled Senior Software Engineer to contribute to the full-stack design, development, and delivery of software solutions within a high-velocity engineering team. This role blends deep engineering excellence with a modern AI-first mindset including the ability to rapidly prototype using GenAI platforms to accelerate team output and innovation.

WHAT YOU'LL DO

AWS Cloud, Serverless & Microservices Architecture

• Design and deliver cloud-native, microservices-based solutions on AWS, applying microservices principles across the full stack frontend, backend, and cloud infrastructure to build scalable, secure, and highly available systems, leveraging a broad and growing set of services including but not limited to: Compute: Lambda, Step Functions API, Auth & CDN: API Gateway, Cognito, CloudFront Messaging & Events: SQS, SNS, EventBridge, Kinesis Data: DynamoDB, S3, Aurora Serverless, OpenSearch, Kinesis Firehose Configuration: SSM Parameter Store Observability: CloudWatch, X-Ray IaC: CDK, SAM, CloudFormation And more across the broader AWS ecosystem.
• Build and maintain scalable REST APIs using API Gateway and Lambda.
• Support cloud cost optimization, security posture, and performance tuning efforts.
• Implement CI/CD pipelines, infrastructure-as-code (AWS CDK/SAM), and blue/green deployment strategies.
• Ensure production readiness through observability, automated testing, and monitoring.

Full-Stack, Microservices & Cross-Platform Development

• Design, develop, test, and deploy full-stack applications and microservices across Flutter/Dart (mobile & cross-platform), React/JavaScript (web), and Python/Node.js/Java/Spring Boot (backend).
• Build responsive, performant web interfaces using React and JavaScript, ensuring seamless user experiences across devices.
• Develop robust backend services and RESTful APIs using Java/Spring Boot, Python, and Node.js following microservices design principles.
• Create and maintain cross-platform mobile and web applications using Flutter/Dart, delivering consistent experiences across iOS, Android, and web.
• Apply microservices best practices including service decomposition, independent deployability, and fault tolerance across the full stack.

AI-Assisted Engineering & Rapid Prototyping

• Rapidly prototype new product concepts using GenAI and LLM 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.
• Follow team-level standards and best practices for AI tool adoption.
• Contribute to ideate prototype validate ship cycles within fast-moving engineering teams.

Collaboration & Mentorship

• Participate in code reviews and contribute to engineering best practices.
• Support and mentor mid-level and junior engineers on design, cloud practices, and AI tool usage.
• Promote a culture of quality, continuous improvement, and learning.

QUALIFICATIONS

• 5+ years of professional software engineering experience; Bachelor's degree in Computer Science or Engineering, or 7+ years of equivalent experience.
• Strong full-stack proficiency across mobile/cross-platform (Flutter/Dart), web (React/JavaScript), and backend (Python, Node.js, Java/Spring Boot).
• Hands-on AWS experience across a broad range of services including but not limited to Lambda, API Gateway, DynamoDB, Kinesis, OpenSearch, S3, Firehose, EventBridge, and SSM.
• Experience with CI/CD, infrastructure-as-code, and serverless deployment patterns.
• Demonstrated use of AI/GenAI tools in a professional development setting; understanding of prompt engineering, context management, and AI tool limitations.
• Familiarity with AWS CDK or SAM for infrastructure provisioning is a plus.
• Exposure to agentic AI workflows and multi-agent systems is a plus.
• AWS certification (Solutions Architect, Developer, or equivalent) is a plus.

PRIMARY TECH STACK

• Layer Technologies:
• Web Frontend: React, JavaScript
• Mobile / Cross-Platform: Flutter, Dart
• Backend: Python, Node.js, Java, Spring Boot
• Database: DynamoDB, S3, Aurora Serverless
• Serverless / Cloud: Lambda, API Gateway, Kinesis, EventBridge and more.
• DevOps / IaC: GitHub, AWS CDK / SAM, CloudFormation, CI/CD Pipelines.
• Observability: CloudWatch, X-Ray
• AI Tools: GenAI / LLM Platforms (various)

Job Requirements

• Target Years of Exp: 8 years
• Top 5 Must Haves: AWS, Adaptability/Problem Solving Skills, AI experience (preferably well versed in multiple tools although we use Claude Code).
• Number of Openings: 3
• Potential to Extend or Convert Perm? 3-6 month C2H
• Are you ok with H1Bs? No
• Do candidates need to be local to interview? Yes