Job Details

Position Title: Senior Full Stack Engineer
Location: Remote for Reston, VA Data Center
Duration: Long Term Assignment

About the Opportunity:
As a Senior Full Stack Engineer, the candidate will be 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. 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 and are professional and meet expectations.

Profile: Must have strong JavaScriptES6 and AWS serverless development

Team: This team is working on Student facing products/programs supporting, enhancing, and building AWS based React/ Node applications. Most dev teams work in a poly skilled manner working on automation and improving frameworks for testing in addition to core development. The hiring manager is looking for mid-to-senior engineers with solid skills including communication, motivation, collaboration, organization, problem-solving, creativity, curiosity, proactivity and who can operate with minimal guidance. Someone that can hit the ground running, is comfortable engaging with their teams remotely, and is a self-starter with proven technical ability. The engineer should be able to contribute to both frontend and backend code, with immediate focus on backend code.

Must Have:

• Amazon DynamoDB
• AWS S3
• AWS Server-less Architecture
• AWS Serverless: Lambda
• AWS - SNS/SQS
• JavaScript (ES6)
• monitoring high frequency data services
• Node.js
• React js

Nice To Have:

• Automated API integration testing
• Automated E2E browser testing

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

• Strong practical experience in JavaScript/Typescript based ecosystem and tools
• Possess technical skills and experience in the virtual infrastructure domain, specifically Amazon Web Services and AWS serverless technologies (Lambdas, DynamoDB, S3, CloudWatch, Redshift etc.)

• Design and development experience in building and monitoring microservices

• Demonstrated experience in developing full stack solutions using NodeJS

• Working experience and discipline in Agile, CI/CD, DevOps best practices

• Fundamentals in OO and computer science foundation principles.

• 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."
• Demonstrated experience building automation test suites
• Strong experience with Infrastructure as Code implementation

Preferred Skills:

• Experience working on Agile teams with the scrum team member attitude - willingness to support the Team to be successful in any area necessary

• High analytical skills and ability to design, develop, build, refactor scalable, reuseable applications and monitor high frequency data services.

• Ability to use: KMS, SQS SNS, OpenSearch, Route 53, VPC

• Fluency with CI/CD toolsets such as: CloudFormation, gitHub, Ansible

• Experience with relational databases and NoSQL databases

• Experience building infrastructure as code using AWS CloudFormation or similar scripting techniques

• Appetite to learn new things, both business process and technology

• Knowledge in InfrastructureAsCode, and GenAI

Education/Certifications:

• Bachelor's degree and/or other advanced degree(s)

• Relevant AWS or other professional certifications

Preferred Skills:

• Experience working on Agile teams with the scrum team member attitude - willingness to support the Team to be successful in any area necessary

• High analytical skills and knack to design, develop, build, refactor scalable, reuseable applications and monitor high frequency data services.

• Ability to use: KMS, SQS SNS, OpenSearch, Route 53, VPC

• Fluency with CI/CD toolsets such as: CloudFormation, gitHub, Ansible

• Experience with relational databases and NoSQL databases

• Experience building infrastructure as code using AWS CloudFormation or similar scripting techniques

• Appetite to learn new things, both business process and technology

• Some knowledge in data science, GenAI, and/or machine learning

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."