experience designing

Staff/Senior/Principal Software Engineer

posted by: spj_bot

Staff/Senior/Principal Software Engineer (Elixir/AI Focus)

Location: Remote (with occasional travel)

Base Location: Salt Lake City, UT, US

Employment Type: Full-time

Salary Range: $150K - $260K (Based on YOE; potential flexibility for more tenured candidates)

We are a rapidly growing, well-funded technology company trusted by enterprise clients, developing a leading AI-powered platform for a specialized professional sector. Join our small, highly efficient engineering team to take ownership of complex systems and ship features quickly in a high-velocity, modern tech stack environment.

We are looking for a Staff, Senior, or Principal Software Engineer with a strong background in software engineering leadership to drive the design, implementation, and reliability of our core product. You will take full ownership of features from concept to production in a distributed, modern stack.

What You’ll Do:

Job Skills

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Staff Node.js Backend

posted by: spj_bot

Position Overview
AHOY is seeking a Staff Node.js Backend Developer to join our remote team. In this role, you will lead the design and development of robust backend solutions that power our applications. You will have a significant impact on our technology stack and architecture while working with a talented team of engineers.

Key Responsibilities:

  • Design, develop, and maintain scalable and high-performance backend services with Node.js.
  • Architect and implement complex features and improvements in our existing applications.
  • Collaborate with product managers and frontend developers to create seamless integrations.
  • Mentor and guide junior developers through code reviews and architecture discussions.
  • Ensure code quality through testing, monitoring, and adherence to best practices.
  • Stay up-to-date with emerging technologies and industry trends to continuously improve our systems.

Requirements

Requirements:

Job Skills

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ML Ops Architect

posted by: spj_bot

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for a motivated and passionate Machine Learning Engineers for our team.

 

Job Description:

As a Senior ML OPS Engineer, you will be joining a team of experienced Machine Learning Engineers that support, build, and enable Machine capabilities across the organization. You will work closely with internal customers and infrastructure teams to build our next generation data science workbench and ML platform and products. You will be able to further expand your knowledge and develop your expertise in modern Machine Learning frameworks, libraries and technologies while working closely with internal stakeholders to understand the evolving business needs. If you have a penchant for creative solutions and enjoy working in a hands-on, collaborative environment, then this role is for you.

Requirements

What you'll do in the role:

Job Skills

leadership terraform databricks cloud architectures compliance requirement cross functional agile system health version control scalable manage github high availability big datum distribute computing test automation workbench architectures technologies time performance engineers engineers computer science cloud compute visualization technologies manage cloud consultants airflow tableau job description azure data libraries azure databrick career development managed python experience designing google cloud platform collaborate reliable best practices azure machine learn analytics standard operating procedure programming machine learn creative perspective automated azure kubernete service governed data science google cloud market research scripting consulting scalability performance optimization real time azure monitor electrical engineering vulnerabilities collaborative machine learning infrastructure logging tracking scale e data pipelines ansible programming languages unix shell job scheduler processes tools
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