Testlio is hiring a
Software Engineering Manager

Summary

Join Testlio, a leading quality management company, as an Engineering Manager to lead a team of Software Engineers and Data Scientists in delivering AI-driven solutions. Shape the future of testing with AI, impactful leadership, and make a tangible impact on client success.

Requirements

• A university degree in Computer Science, Software Engineering or equivalent
• 3-5 years of experience in leading & motivating a team of 5+ software engineers, fostering a positive and productive work environment, using agile methodologies
• 5-10 years of full-stack coding experience, building performant, scalable, and modern cloud-native applications
• Strong affinity with our tech stack of React, TypeScript, NodeJS, Graphql, MySQL, PHP, Python, AWS, Kafka, Redis
• AI/ML experience is a plus
• Fluency in English, with excellent written and verbal communication skills
• Organized & thorough. Committed to quality, with a meticulous approach to ensuring standards and processes are met or exceeded
• Growth Catalyst. Passionate about developing team productivity and technical excellence, fostering an environment of continuous learning and improvement
• Results-oriented, with data-driven decision-making and a focus on delivering impactful outcomes

Responsibilities

• Leading a team of Engineers and Data Scientists to deliver AI-driven solutions, fostering a culture of innovation and high standards
• Managing Scrum rituals, backlog grooming, and technical designs, ensuring processes are both efficient and effective
• Engaging in deep dives on production defects, from root-cause analysis to resolution, ensuring test coverage and maintaining high coding standards
• Motivating, coaching, and developing team members. Developing best practices to enhance productivity and nurture AI-augmented engineering skills
• Ensure accurate data collection and utilize data-driven insights to inform key decisions and optimize team performance
• Conducting PR reviews, developing cross-training plans to eliminate knowledge silos, and fostering an environment of continuous learning and improvement

Benefits

• Paid time off
• Remote work
• Stock options
• Equipment policy with Testlio contributing to the bulk of the cost with regular equipment update intervals