As a Senior Full Stack Software Engineer, candidate will be responsible for complex software development including coding, managing small sections of ongoing projects and closely adhering to deadlines while advancing team s best practices. Proficient in using AI coding assistants and autonomous agents to accelerate development, testing, and automation while maintaining deep code understanding, critically validating AI outputs, and exercising technical ownership over all code.
Numbers & Facts
Location
Reston, VA (Remote)
Description
JOB DESCRIPTION: Position Title: Senior Full Stack Engineer Location: Remote Duration: Long Term Contract
Must Have:
AWS Dynamo
AWS Lambda
AWS S3
AWS - SNS/SQS
JavaScript (ES6)
Node.js
React js
About the Opportunity: As a Senior Full Stack Software Engineer , candidate will be responsible for complex software development including coding, managing small sections of ongoing projects and closely adhering to deadlines while advancing team s best practices. Candidate will also take responsibility for creating design specifications, unit testing, and preparing technical documentation. Candidate will ensure relationships with customers and cross-team members are professional and meet expectations.
Required Skills:
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 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
Working experience on CI/CD using AWS Code pipeline
Demonstrated experience in developing full stack solutions using NodeJS
Working knowledge of distributed architectural design patterns
Knowledge of software development lifecycle and modern software engineering principles and practices
Proficient in using AI coding assistants and autonomous agents to accelerate development, testing, and automation while maintaining deep code understanding, critically validating AI outputs, and exercising technical ownership over all code
Preferred Skills:
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,GitHub
Experience with relational databases, and NoSQL databases
Experience building infrastructure as code using AWS CloudFormation or similar scripting techniques
Appetite to Learn new things
Knowledge in InfrastructureAsCode, and GenAI
Education/Certifications:
Bachelor s degree and/or other advanced degree(s)
Relevant AWS or other professional certifications
EEO:
Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.