Engineering Manager 2026

Posted 15 Days Ago
Be an Early Applicant
Austin, TX, USA
In-Office
Mid level
Software
The Role
Build and manage a high-performing engineering team, mentor engineers, maintain and optimize AWS infrastructure, oversee code development and quality, and guide architecture and system design. Collaborate with product and design stakeholders to deliver projects, establish engineering standards, adopt best practices, and support technical problem-solving. The role also involves developing data-driven applications using distributed systems, data-processing frameworks, cloud infrastructure, and languages such as Python, Java, or PHP.
Summary Generated by Built In

Talroo Inc. seeks Engineering Manager for its office in Austin, TX


Key job responsibilities: 

           

  • Build and manage a high-performing engineering team, identifying and addressing skill gaps as the company grows. This includes mentoring and coaching junior engineers.
  • Ensure robust IT infrastructure, supporting Talroo’s business executions.
  • Manage the maintenance and optimization of AWS infrastructure.
  • Oversee the development, optimization, and maintenance of technical code.
  • Provide training on and actively participate in the writing and reviewing of code across multiple languages.
  • Collaborate cross-functionally with product managers, designers, and other stakeholders to drive product innovation and successful project delivery.
  • Set and maintain high standards for employee ethics, as well as code quality, architecture, and system design.
  • Drive continuous improvement through the adoption of best practices, tools, and technologies.
  • Provide technical guidance and support to team members, aiding in problem-solving and decision-making processes

Minimum Requirements:

The position requires at least Master’s Degree or equivalent in Computer Science, Data Science or related field. 4 years of experience in software development, data science, or machine learning. Demonstrated experience with the following:


  • Mentoring, training, or coaching other engineers, interns, or peers.
  • Defining deliverables, managing priorities, and contributing to successful project completion.
  • Developing data-driven applications and analytics systems.
  • Distributed systems and data processing frameworks, including Spark (PySpark or Scala).
  • Cloud infrastructure (AWS or similar) for application deployment and optimization.
  • Developing applications using programming or scripting languages such as Python, Java, or PHP

Skills Required

  • Master's degree or equivalent in Computer Science, Data Science, or a related field
  • At least 4 years of experience in software development, data science, or machine learning
  • Experience mentoring, training, or coaching engineers, interns, or peers
  • Experience defining deliverables, managing priorities, and contributing to successful project completion
  • Experience developing data-driven applications and analytics systems
  • Experience with distributed systems and data-processing frameworks, including Spark, PySpark, or Scala
  • Experience with AWS or similar cloud infrastructure for application deployment and optimization
  • Experience developing applications with Python, Java, PHP, or similar programming or scripting languages
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The Company
HQ: Austin, Texas
112 Employees
Year Founded: 2010

What We Do

Talroo is an award-winning talent-matching platform that empowers employers with data-driven tools to source frontline, essential, and hourly workers efficiently and at scale. Our engine powers millions of job searches across thousands of online sites daily to find the talent you’re missing out on. Talroo delivers quality candidates by using application signals from your ATS and 1st-party profile matching technology to optimize to your cost-per-hire goals. Talroo powers the frontline and essential worker hiring for many Fortune 500 companies and has won numerous awards, including Lighthouse Research & Advisory’s Award for the Best Comprehensive Solution in Talent Acquisition and HR Tech Product of Year by HR Executive Magazine.

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