Salary
≈ $136k – $276k per year (Estimated)
Location
In office (Austin)
Seniority
Staff · 4+ years exp
Visa
H-1B filings in 12 months: 3 · green card filings: 2
Confirmed on the employer's own hiring board on Oct 13, 2026. First seen by Alion on Aug 20, 2026.
Overview
Company
Impact
Profile match
Discover Talroo's talent matching marketplace and revolutionize how you find frontline workers. Reach out to stop searching and start hiring.
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
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