Mindlance is seeking a Senior Full Stack Engineer responsible for complex software development, including coding and managing ongoing projects. The candidate will create design specifications, conduct unit testing, and prepare technical documentation while ensuring professional relationships with customers and team members.
Responsibilities:
- Responsible for complex software development including coding, managing small sections of ongoing projects, collaborating with others, closely adhering to deadlines while advancing team’s best practices
- Take responsibility for creating design specifications, unit testing, and preparing technical documentation
- Ensure relationships with customers and cross-team members and are professional and meet expectations
Requirements:
- Agentic AI
- AWS Cloud Observability (ex. X-Ray)
- AWS Dynamo
- AWS Lambda
- AWS S3
- AWS - SNS/SQS
- AWS State machines
- JavaScript (ES6)
- Node.js
- React js
- SQL/RDS
- Minimum 7 years demonstrated experience with software development
- Strong and evolving competence in several programming languages and technologies, working knowledge of multiple tool sets, technologies and implementation environments especially in the cloud
- Expert level experience in React, NodeJS and scripting in a Cloud based environment
- Demonstrated advanced experience with AWS Lambda, SNS/SQS, S3, IAM, CloudWatch, RDS and DynamoDB, AWS CLI
- Possess strong technical skills and experience in the virtual infrastructure domain, specifically Amazon Web Services
- Strong design and development experience in building and monitoring microservices including UI
- Working experience on CI/CD using AWS Code pipeline
- Demonstrated experience in developing full stack solutions using NodeJS
- Fundamentals in OO and computer science foundation principles
- Working knowledge of distributed architectural design patterns
- Knowledge of systems analysis and design (including OOAD and UML), and database design
- Knowledge of software development lifecycle and modern software engineering principles and practices
- setting up a DataOps.Experience
- aws EMR Spark
- AWS - Glue
- AWS - Lake Formation
- Python
- High analytical skills and knack to develop tools for monitoring high frequency data services
- Experience working on Agile teams with the scrum team member attitude – willingness to support the Team to be successful in any area necessary
- Advanced demonstrated experience with AWS cloud supported programming languages like JavaScript, TypeScript, or Python
- Ability to use: KMS, ALB/ELB, Route 53, VPC
- Fluency with CI/CD toolsets such as: CloudFormation, BitBucket, Jenkins, Ansible
- Experience with relational databases, and NoSQL databases
- Experience building infrastructure as code using AWS CloudFormation or similar scripting techniques