Job Description
Lead and coach multiple engineering teams, translating business goals into technical execution. Drive delivery quality, resolve blockers, and foster a culture of innovation, collaboration, and continuous improvement.
Key Responsibilities:
- Oversee planning, prioritization, and delivery of features across teams.
- Provide regular coaching, feedback, and technical guidance to engineers.
- Champion consistent coding, testing, and documentation practices.
- Track release progress, resolve delivery risks, and maintain documentation accuracy.
- Collaborate with product, QA, SRE, and business stakeholders to align technical work with business needs.
- Identify and mitigate blockers, ensuring timely resolution and transparent communication.
- Foster a culture of teamwork, quality, and inclusion.
- Promote adoption of AI tools and innovative practices to improve efficiency.
Required Skills and Competencies:
- Collaboration (6 - Advanced): Influence and coordinate across teams for seamless execution.
- Technical Acumen (5 - Experienced): Analyze and interpret complex technical data.
- Problem Solving (5 - Experienced): Create practical solutions for business and customer value.
- Innovation (5 - Experienced): Apply technology strategy to develop differentiated solutions.
- DevOps, API Management, Cloud Computing, Software Design, Data Security, Resilience Planning, Ethical Responsibility, Information Security (4 - Effective): Lead technical execution and ensure compliance.
- Artificial Intelligence, Ai Agents, AutoAI (4 - Effective): Drive adoption of future-focused technologies.
- Adaptability, Learning to Learn (4 - Effective): Respond productively to change and foster learning.
Qualifications (Education & Experience):
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field.
- Proven experience leading engineering teams and delivering complex software solutions.
- Strong leadership, communication, and stakeholder management skills.
- Hands-on experience with modern development, DevOps, and AI tools.
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