Company:
Brickhouse Resources
Location: Henderson
Closing Date: 04/12/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Job Title: Senior Full Stack Software Engineer
Job Location: Remote work (WA, CA, TX, GA, FL, NC, VA, NY)
Workplace Type: Remote
Workplace Schedule: Monday through Friday; typically EST
Target Salary: $140,000 to $165,000/year
US Citizen and GC only.
We are seeking a Senior Full Stack Engineer proficient in JavaScript and Python. The Senior Full Stack Engineer must be able to work independently on complex systems including AI and heavy data components.
Position Requirements:
Minimum of 5 years' experience as a full stack developer
Advanced skills with Python, v3+
Experience with PostgreSQL and/or other SQL databases
Advanced skills in JavaScript (ES6+), React/Redux, and Express for front-end and back-end development
Elasticsearch DSL experience
Experience with Docker
Knowledge of AWS CloudFormation or related infrastructure-as-code tools
Past experience building and deploying applications in AWS environments
Proficient with RESTful APIs, and microservices architecture
Knowledge of DevOps practices and tools (CI/CD, version control, etc.)
Bachelor's degree in computer science, Software Engineering, or a related field. Or equivalent work experience is also considered. Master's degree in a related field is a plus but not required.
Self-starter, results-focused, flexible/able to work in an Agile environment
Position Responsibilities:
Adding data sources and managing data sources to the ingestion pipeline; ensuring consistency and quality of data.
Continuous improvement of performance/reliability/scalability of the data ingestion pipeline, reducing latency and enhancing throughput.
Implementing features, improvements, and fixes to the AI engine, maintaining reliability, accuracy, and optimizing user experience.
Improve/maintain web applications; resolve bugs and enhance functionality to improve user experience and system performance.
Make enhancements to the Elasticsearch infrastructure to improve the search system to deliver more relevant, accurate, and faster results.
Make improvements to infrastructure and contribute DevOps tasks to support security hardening, scaling, and system resilience.
Job Location: Remote work (WA, CA, TX, GA, FL, NC, VA, NY)
Workplace Type: Remote
Workplace Schedule: Monday through Friday; typically EST
Target Salary: $140,000 to $165,000/year
US Citizen and GC only.
We are seeking a Senior Full Stack Engineer proficient in JavaScript and Python. The Senior Full Stack Engineer must be able to work independently on complex systems including AI and heavy data components.
Position Requirements:
Minimum of 5 years' experience as a full stack developer
Advanced skills with Python, v3+
Experience with PostgreSQL and/or other SQL databases
Advanced skills in JavaScript (ES6+), React/Redux, and Express for front-end and back-end development
Elasticsearch DSL experience
Experience with Docker
Knowledge of AWS CloudFormation or related infrastructure-as-code tools
Past experience building and deploying applications in AWS environments
Proficient with RESTful APIs, and microservices architecture
Knowledge of DevOps practices and tools (CI/CD, version control, etc.)
Bachelor's degree in computer science, Software Engineering, or a related field. Or equivalent work experience is also considered. Master's degree in a related field is a plus but not required.
Self-starter, results-focused, flexible/able to work in an Agile environment
Position Responsibilities:
Adding data sources and managing data sources to the ingestion pipeline; ensuring consistency and quality of data.
Continuous improvement of performance/reliability/scalability of the data ingestion pipeline, reducing latency and enhancing throughput.
Implementing features, improvements, and fixes to the AI engine, maintaining reliability, accuracy, and optimizing user experience.
Improve/maintain web applications; resolve bugs and enhance functionality to improve user experience and system performance.
Make enhancements to the Elasticsearch infrastructure to improve the search system to deliver more relevant, accurate, and faster results.
Make improvements to infrastructure and contribute DevOps tasks to support security hardening, scaling, and system resilience.
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