Position: Technical Coach
Location: Fort Worth, Texas
Duration: Contract
Job ID: 178612
Job Overview: We are seeking a highly skilled and experienced Technical Coach to join our team in Fort Worth, Texas. This role involves working onsite three days a week (Tuesday through Thursday) and offers the opportunity to convert to a full-time employee. The ideal candidate will have a strong background in software development, coaching, and modern engineering practices, with a focus on AI, machine learning, and agile methodologies. This position is part of a high-performing IT organization dedicated to delivering exceptional digital products and fostering a culture of technical excellence.
Responsibilities: - Coach teams in an immersive dojo/coaching space to enhance their technical capabilities.
- Evaluate product portfolios and assess architecture and engineering opportunities.
- Facilitate Value Stream Mapping sessions to identify development and operational improvements.
- Identify opportunities to increase workflow efficiency and eliminate waste.
- Define and curate metrics to measure progress toward desired outcomes.
- Serve as an expert on modern technology architecture, engineering, and DevOps practices.
- Collaborate with product teams to improve customer delivery and achieve company objectives.
- Mentor and work hands-on with software teams, including engineers and architects.
- Lead large pairing/mobbing sessions to enhance learning and focus.
- Design and develop training materials related to modern engineering practices.
- Embed with teams to understand their environment and design impactful coaching interventions.
- Develop and implement coaching strategies for teams, including software engineers and architects.
- Contribute to the developer experience platform to streamline continuous delivery of value.
Qualifications: - Bachelor's degree in Computer Science or a related discipline, or equivalent work experience.
- 8+ years of experience in software development and coaching.
- Hands-on experience with AI, machine learning, and modern engineering practices.
- Proficiency in object-oriented programming languages such as Java, Python, or C#.
- Experience with TDD, BDD, and Agile methodologies like Extreme Programming, Kanban, or Scrum.
- Expertise in Continuous Integration and Continuous Delivery (CI/CD).
- Proficiency in DevOps tools and platforms, including Kubernetes, Docker, and GitHub Actions.
- Experience with cloud providers such as Azure and AWS.
- Strong communication skills and the ability to mentor and guide teams effectively.
- Proven experience in SQL and designing relational database schemas.
- Experience with modern and classical neural networks, including LLMs, CNNs, and RNNs.
About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit ;br>
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- Pay any fee to be considered for, submitted to, or selected for any opportunity.
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Pay Range: $80 - $85/Hr on W2
The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.
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During the hiring process, we may use artificial intelligence (AI) tools to assist in evaluating information related to your application. These tools may help analyze job-related qualifications or assist recruiters in reviewing applications and interview responses. AI-generated information is one factor considered in our hiring process. Final employment decisions are made by qualified hiring personnel and are not based solely on AI-generated recommendations.
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