PureIntegration

Software Engineer (Data and MLOps)

PureIntegration$80K — $110K *
Media
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science or Software Engineering.
  • Strong foundation in software development with focus on data analytics.
  • Backend experience in Node.js, Python, Java, or similar languages.
  • Front-end experience with React, Angular, JavaScript, or similar frameworks.
  • Familiarity with data architecture concepts required.
  • Demonstrable Linux and cloud infrastructure experience.
  • Exposure to ML model deployment and scaling is advantageous.

Responsibilities

  • Contribute to software solutions for AdTech, Media, and Telecom industries.
  • Build and maintain backend services and front-end interfaces.
  • Develop and support data engineering and analytics components.
  • Deploy and scale machine learning models and pipelines.
  • Collaborate in architecting AI-driven solutions to industry problems.
  • Work across various technologies to support production software.
  • Participate in Agile processes and quality practices.

Benefits

  • Opportunity to work on meaningful solutions for diverse industries.
  • Gain hands-on experience with multiple technologies.
  • Learn from a highly experienced engineering team.
  • Potential for rapid skill growth through varied project involvement.
Full Job Description


Job Description

We are looking for an early-career Software Engineer with a data focus to join our Technology Solutions Group (TSG). This is an excellent opportunity for a motivated engineer to join a lean team focused on rapid prototyping and development, with the ability to gain experience across multiple disciplines while building real solutions that we bring to market - solutions that solve meaningful problems across a large base of customers in the AdTech, Media, and Telecom industries.

In this role, you will work alongside a highly experienced team across a broad range of technologies, from backend and front-end development to data architecture, cloud infrastructure, and machine learning. You will help build, deploy, and scale software solutions and data architectures, gaining hands-on exposure to the full stack and the chance to grow your skills quickly.

This role is ideal for someone with a computer science or software development background and a strong interest in data engineering and analytics. Referenceable job or internship experience is a plus.

If you are excited to solve complex problems, motivated to learn from seasoned engineers, and work across modern technologies, this could be a great fit for you.

This is a full-time position. Travel is not required.

Responsibilities
  • Contribute to the development of software solutions that pureIntegration brings to market across the AdTech, Media, and telecom industries.
  • Build and maintain backend services and front-end interfaces as part of a collaborative engineering team.
  • Develop and support data engineering and analytics components, including data architecture and pipelines.
  • Deploy and scale machine learning models and model training pipelines.
  • Contribute to architecting and building solutions that leverage the latest trends in AI to solve previously unsolved industry challenges
  • Work across a range of technologies - backend, front-end, cloud, and infrastructure - to deliver and support production software.
  • Participate in Agile processes, code reviews, testing, and quality practices to deliver reliable, maintainable software.
  • Collaborate in a mixed onshore - offshore team; flexibility to work across time zones is a must.
  • Collaborate with senior engineers and learn from a highly experienced team, growing your technical breadth and depth.


Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related field.
  • Strong foundation in software development with a focus on data engineering and analytics.
  • Backend development experience with one or more of: Node.js, Python, Java, or similar.
  • Front-end development experience with React, Angular, JavaScript, or similar.
  • Familiarity with data architecture concepts.
  • Demonstrable infrastructure experience (Linux, cloud).
  • Exposure to deploying and scaling ML models and model training pipelines is a plus.
  • Deployment or infrastructure automation experience is a plus.
  • Referenceable job or internship experience is a plus.
  • Eagerness to learn across multiple technologies and work collaboratively with an experienced team.


Additional Information

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