About this role
Build AI-driven finance transformation services that automate forecasting and financial workflows with high reliability. Use GenAI-assisted development and AWS serverless architecture to deliver low-latency frontend, middle-tier, and backend capabilities for financial stakeholders.
Key Responsibilities
- Use GenAI-assisted development with Amazon Q Developer
- Deploy low-latency frontend, middle tier, and backend solutions
- Build secure data management services for financial data privacy
- Implement MCP and LLM workflows across lifecycle (requirements to testing)
- Automate ML Ops and forecasting/model training pipelines
Technical Overview
Develop full stack microservices on Amazon Web Services (AWS) using Java, Javascript, and Python, leveraging DynamoDB, AWS Lambda, SQS, and SNS. Integrate GenAI-assisted coding via Amazon Q Developer and use Model Context Protocol (MCP) and Large Language Models (LLMs) across requirements, coding, testing, and model training with ML Ops and continuous evaluation.
Ideal Candidate
The ideal candidate is a mid-level Software Development Engineer who has 3+ years of experience building and deploying full stack services on Amazon Web Services (AWS), especially in serverless architectures. They are hands-on with GenAI-assisted development using Amazon Q Developer, and they can operationalize Large Language Models (LLMs) with Model Context Protocol (MCP), ML Ops, and continuous evaluation for automated forecasting workflows.
Must-Have Skills
3+ years of experience (as indicated by 'Basic Qualifications: - 3+ years of' in truncated posting)GenAI-assisted software development using Amazon Q DeveloperUse Model Context Protocol (MCP) and large language models (LLMs)Build and deploy frontendmiddle tier and backend low-latency solutionsDevelop using JavaJavascriptPythonUse AWS serverless infrastructure including DynamoDBLambdaSQSSNS
Tools & Platforms
Amazon Q DeveloperModel Context Protocol (MCP)Amazon Web Services (AWS)AWS LambdaAmazon DynamoDBAmazon Simple Queue Service (SQS)Amazon Simple Notification Service (SNS)
Required Skills
GenAI-assisted software developmentAmazon Q DeveloperModel Context Protocol (MCP)Large language models (LLMs)AWSserverless infrastructureJavaJavascriptPythonDynamoDBLambdaSQSSNSmicroserviceslow-latency solutionsbuild testsAPIsML Opsforecastingcontinuous evaluation
Hard Skills
Software developmentFull stack servicesAWSserverless infrastructureSecured data management serviceprivacyfront end developmentbackend developmentGenAI-assisted software developmentAmazon Q DeveloperModel Context Protocol (MCP)Large language models (LLMs)REST APIs (implied by APIs serving)microserviceslow-latency solutionsJavaJavascriptPythonDynamoDBAWS LambdaAWS SQS (Simple Queue Service)AWS SNS (Simple Notification Service)ML Ops for existing engineering pipelinesautomation of forecasting workflowsModel training pipelinescontinuous evaluationbuild testsexplain unfamiliar coderequirements analysisprototyping
Soft Skills
CollaborationIndependenceAutonomyOwnershipHandling ambiguityClarifying requirementsWorking independentlyCross-functional collaborationProductivity and code quality focus
Keywords for Your Resume
Software Development EngineerFinance TransformationAITransformationGenAI-assisted software developmentAmazon Q DeveloperModel Context Protocol (MCP)LLMslarge language modelsAWSAmazon Web Servicesserverless infrastructureJavaJavascriptPythonDynamo DBDynamoDBLambdaAWS LambdaSQSAmazon Simple Queue Service (SQS)SNSAmazon Simple Notification Service (SNS)microserviceslow-latency solutionsbuild testsAPIsML Opscontinuous evaluationforecasting
Deal Breakers
Must have 3+ years of experience (per Basic Qualifications: '3+ years of' line), Must demonstrate AWS serverless development with DynamoDB, Lambda, SQS, and SNS, Must have GenAI-assisted development experience using Amazon Q Developer
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