What are the responsibilities and job description for the Sr Software Engineer position at Intracruit Solutions?
Sr Software Engineer
Contract- 5 months CTH possibility - W2 ONLY
Peachtree Dunwoody Atlanta Hybrid- 2-3 days in the office no relocation
W2 ONLY
USC or GC holders only.
Interview is Virtual; if a candidate is asking you the type of mode most likely they aren’t located where they say they are.
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.
Top 5 Must Haves: AWS, Adaptability/Problem Solving Skills, AI experience (preferably well versed in multiple tools although we use Claude Code)
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 Firehouse
- 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 Develoment
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 webApply microservices best practices including service decomposition, independent deployability, and fault tolerance across the fullstcak
- 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 experince
- 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 SSMExperience 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