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Software Engineering Manager
hace 2 meses
Job Title: Software Engineering Manager
Job Summary:
The Head Software Engineering Manager plays a crucial role in driving the organization's success by overseeing the technical aspects of product initiatives, ensuring efficient and effective delivery, and fostering a collaborative and innovative work environment.
Key Responsibilities:
- Technical Strategy: Define and execute the technical strategy, roadmaps, and related decisions for the engineering teams.
- Technical Guidance: Provide technical guidance and mentorship to team members, ensuring their professional growth and development.
- Team Management: Manage the engineering teams' technical career paths, technical skills, and structure.
- Data-Driven Decisions: Make data-driven decisions regarding engineering performance and capabilities.
- Culture Development: Foster a culture of collaboration, innovation, and continuous improvement within the engineering team.
- Cross-Functional Collaboration: Collaborate with cross-functional teams, including product managers, designers, and stakeholders, to align on technical requirements and deliverables.
- Risk Management: Identify and mitigate risks and issues that may impact product delivery or team performance.
- Industry Trends: Stay up-to-date with industry trends and best practices in software engineering, and apply them to drive innovation and improve team performance.
- Metrics Development: Work with the engineering team, product owners, and stakeholders to define key metrics related to code quality and delivery.
- Performance Monitoring: Establish baseline metrics to understand the current state of code quality and delivery performance. Set achievable targets for improvement based on industry benchmarks, organizational goals, and feedback from stakeholders.
- Individual Performance: Implement metrics to track the performance of individual team members and product teams.
- Accountability: Foster a culture of accountability and transparency by making code quality and delivery metrics visible to all team members.
- Data Analytics: Use data analytics techniques to identify patterns and trends in code quality and delivery metrics over time.
- Team Assessment: Assess the skills, expertise, and capacity of the existing engineering team(s) to determine their ability to deliver on the technical requirements identified.
- Team Structure: Based on the technical requirements and the capabilities of the engineering team, propose appropriate team structures that can effectively support the product roadmap.
Requirements:
- Technical Experience: Solid technical experience in relevant engineering areas for the team (e.g., software development, systems engineering, electrical engineering, etc.)
- Technical Knowledge: Deep knowledge of technologies and tools used in software development or engineering products in their specific domain Delivery/DevOps Metrics (DORA Metrics)
- Communication Skills: Ability to understand and analyze code and engage in detailed technical discussions with the team.
- Agile Methodologies: Familiarity with agile development methodologies and experience in their implementation.
- Code Quality: Code quality and security Code smells
Qualifications:
- Education: Bachelor's degree in computer science, Engineering, or a related field.
- Experience: Proven experience in software engineering, with a strong understanding of software development methodologies and practices.
- Leadership Experience: Previous experience in a leadership or management role, preferably in a software engineering or digital product development environment.
- Communication Skills: Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams.
- Problem-Solving Skills: Strong problem-solving and decision-making abilities, with a focus on delivering high-quality results.
- Project Management: Ability to manage multiple product initiatives and priorities in a fast-paced and dynamic environment.
- Agile Methodologies: Familiarity with agile development methodologies and tools.