Sr Software Engineer (1497133)

Senior 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, CloudFormationAnd more across the broader AWS ecosystemBuild and maintain scalable REST APIs using API Gateway and LambdaSupport cloud cost optimization, security posture, and performance tuning effortsImplement CI/CD pipelines, infrastructure-as-code (AWS CDK/SAM), and blue/green deployment strategiesEnsure production readiness through observability, automated testing, and monitoringFull-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 devicesDevelop robust backend services and RESTful APIs using Java/Spring Boot, Python, and Node.js following microservices design principlesCreate and maintain cross-platform mobile and web applications using Flutter/Dart, delivering consistent experiences across iOS, Android, and webApply microservices best practices including service decomposition, independent deployability, and fault tolerance across the full stackAI-Assisted Engineering & Rapid PrototypingRapidly prototype new product concepts using GenAI and LLM platformsApply AI-assisted development tools to accelerate code generation, testing, documentation, and code reviewEvaluate AI-generated outputs for correctness, security, and production readinessFollow team-level standards and best practices for AI tool adoptionContribute to ideate? prototype ?

validate? ship cycles within fast-moving engineering teamsCollaboration & MentorshipParticipate in code reviews and contribute to engineering best practicesSupport and mentor mid-level and junior engineers on design, cloud practices, and AI tool usagePromote a culture of quality, continuous improvement, and learningQualifications5+ years of professional software engineering experience; Bachelor's degree in Computer Science or Engineering, or 7+ years of equivalent experienceStrong 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 SSMExperience with CI/CD, infrastructure-as-code, and serverless deployment patternsDemonstrated use of AI/GenAI tools in a professional development setting; understanding of prompt engineering, context management, and AI tool limitationsFamiliarity with AWS CDK or SAM for infrastructure provisioning is a plusExposure to agentic AI workflows and multi-agent systems is a plusAWS certification (Solutions Architect, Developer, or equivalent) is a plus