Sr Software Engineer

Sr. Software EngineerWe 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.AWS Cloud, Serverless & Microservices ArchitectureDesign 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 FunctionsAPI, Auth & CDN: API Gateway, Cognito, CloudFrontMessaging & Events: SQS, SNS, EventBridge, KinesisData: DynamoDB, S3, Aurora Serverless, OpenSearch, Kinesis FirehoseConfiguration: SSM Parameter StoreObservability: CloudWatch, X-RayIaC: CDK, SAM, CloudFormation And more across the broader AWS ecosystemBuild 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 DevelopmentDesign, 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 PrototypingRapidly 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 & MentorshipParticipate 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.Qualifications5+ 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 StackWeb Frontend - React JavaScriptMobile / Cross-Platform - Flutter DartBackend - Python Node.js Java Spring BootDatabase - DynamoDB S3 Aurora ServerlessServerless / Cloud - Lambda API Gateway Kinesis EventBridge and moreDevOps / IaC - GitHub AWS CDK / SAM CloudFormation CI/CD PipelinesObservability - CloudWatch X-RayAI Tools - GenAI / LLM Platforms (various)Requirements: Target Years of Exp: 8 yearsTop 5 Must Haves: AWS, Adaptability/Problem Solving Skills, AI experience (preferably well versed in multiple tools although we use Claude Code)