Jobs · Engineering

Senior Full Stack Engineer

Accylerate · United States · 1 mo ago
RemoteRemoteEngineeringContract

Ideal Candidate Profile

The ideal candidate is a Senior Full Stack Engineer with strong React, Node.JS, AWS Lambda, and microservices experience. They must be familiar with Agentic AI within software development.

Responsibilities

  • Responsible for complex software development including coding, managing small sections of ongoing projects, and adhering to deadlines.
  • Create design specifications, unit test, and prepare technical documentation.
  • Ensure professional relationships with customers and cross-team members meeting expectations.
  • Design, develop, implement, and deploy AWS cloud solutions based on established standards and processes.
  • Design, develop, and implement serverless software solutions supporting data quality and automation.
  • Design and develop elegant and efficient cloud-enabled data processes and systems.

Requirements

  • Minimum 7 years of 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 with 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.
  • 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.
  • Experience developing full-stack solutions using NodeJS.
  • Fundamentals in Object-Oriented (OO) and computer science foundation principles.
  • Knowledge of systems analysis and design (including OOAD and UML), and database design.
  • Experience in the software development lifecycle and modern software engineering principles and practices.
  • Experience setting up a DataOps.

Preferred Skills

  • High analytical skills and a knack for developing tools for monitoring high-frequency data services.
  • Experience working on Agile teams with a 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.
  • An appetite to learn new things.

Education/Certifications

  • Bachelor's degree and/or other advanced degrees relevant to the field.
  • Relevant AWS or other professional certifications.

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