Software Engineer

AgreeYa Solutions, Inc.
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Tech stack

Flutter
Web Interfaces
Java
JavaScript
API
Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Amazon Web Services (AWS)
iOS
Automation of Tests
Cloud Computing
Cloud Engineering
Code Generation
Code Review
Continuous Integration
Amazon DynamoDB
Fault Tolerance
Python
Node.js
Performance Tuning
Rapid Prototyping Process
Software Engineering
Software Systems
Web Applications
Amazon Web Services (AWS)
React
Large Language Models
Multi-Agent Systems
Prompt Engineering
Spring-boot
Generative AI
Backend
Cloudformation
Infrastructure Automation Frameworks
Information Technology
Deployment Automation
Dart
Front End Software Development
Functional Programming
Cloud Optimization
Cloudwatch
Api Gateway
REST
Amazon Web Services (AWS)
Multiplatform
Serverless Computing
Microservices

Job description

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., * 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, Event Bridge, 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 deploy ability, 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

Requirements

  • 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, Event Bridge, 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

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