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Sr. Full Stack Software Engineer#26-00218

Remote

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Job Description

Ideal Candidate Profile

Seeking a Senior Full Stack Software Engineer who 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. The ideal candidate will have designed, developed and implemented serverless software solutions in support of data quality and automation. The candidate will also possess technical skills and experience in the data management and transactional systems domains that will help their ability to design and develop elegant and efficient cloud enabled data processes and systems. The Senior Full Stack Engineer will design, develop, implement, and deploy AWS cloud solutions, based on a set of standards and processes which establish consistency across the enterprise data, reduce risk, and promote efficiencies in support of the organization's goals and objectives.

Required Skills & Experience

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 & Experience

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

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Skills

  • AWS
  • Node.js
  • AWS Lambda
  • AWS SNS
  • AWS SQS
  • S3
  • IAM
  • AWS CloudWatch
  • RDS
  • DynamoDB
  • JavaScript
  • TypeScript
  • Python
  • KMS
  • ALB
  • ELB
  • Route 53
  • VPC
  • AWS CloudFormation
  • Bitbucket
  • Jenkins
  • Ansible
  • GitHub
  • Generative AI

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