Technical Manager/Solution Architect - Software Development (7-10 yrs)

Key Responsibilities :

- Team Leadership : Manage and mentor a team of engineers, providing guidance on best practices, conducting code reviews, and supporting career development.

- Hands-on Development : Lead the development of high-quality Python-based applications, providing hands-on coding when necessary.

- Project Delivery : Oversee the planning, execution, and delivery of technical projects, ensuring that timelines, scope, and quality targets are met.

- System Architecture Design : Define and design scalable, resilient, and secure architectures for new and existing systems using Python and other relevant technologies.

- Technical Strategy : Collaborate with stakeholders to develop the technical strategy and roadmap, ensuring alignment with business goals.

- Cross-functional Collaboration : Work closely with product managers, DevOps, and data science teams to ensure seamless integration and functionality.

- Technology Evaluation : Evaluate emerging technologies and frameworks to ensure that the architecture remains current and effective for future scalability and innovation.

- Proof of Concepts : Develop and prototype architectural solutions, ensuring feasibility and scalability before full implementation.

- Quality Assurance : Establish and enforce best practices for coding, testing, continuous integration (CI/CD), and documentation to ensure code quality and maintainability.

- DevOps Integration : Guide the team in implementing and maintaining robust CI/CD pipelines, automated testing, and monitoring.

- Performance Optimization : Ensure the system's performance and reliability through profiling, optimization, and scaling strategies.

- Requirement Gathering : Collaborate with product owners and business stakeholders to gather and analyze functional and non-functional requirements.

- Technical Communication : Act as the primary technical contact, explaining complex technical concepts to non-technical stakeholders and ensuring clear communication across teams.

- Risk Management : Identify technical risks in the architecture or system and develop mitigation strategies to prevent or resolve them.

- Innovation : Drive innovation within the team by encouraging experimentation and the adoption of modern development practices and tools.

- Team Development : Foster a culture of continuous learning and improvement, supporting team members in expanding their technical expertise.

- Mentorship : Provide guidance on both development and architecture, ensuring that the team adheres to high technical standards.

Required Skills and Qualifications :

- Educational Background : Bachelor's or Master's degree in Computer Science, Engineering, or related field.

- Experience : Minimum of 7-10 years of experience in software development, with at least 3 years in a managerial or technical leadership role, and 2+ years of solution architecture experience.

Technical Expertise :

- Expertise in Python and Python frameworks (e.g, Django, Flask, FastAPI) with a deep understanding of object-oriented programming, design patterns, and best practices.

- System Design : Strong knowledge of system design, architecture patterns (e.g, microservices, event-driven), and cloud infrastructure (AWS, GCP, Azure).

- Experience with databases (both relational and NoSQL), distributed systems, and large-scale web applications.

- Strong familiarity with DevOps practices, CI/CD pipelines, containerization (Docker, Kubernetes), and cloud deployment strategies.

- API Design and Integration : Extensive experience in RESTful API and microservices architecture.

- Leadership Skills : Proven experience managing and mentoring teams, driving technical excellence and delivering on complex projects.

- Analytical Problem Solving : Strong analytical skills for troubleshooting and solving complex technical problems.

- Communication : Excellent verbal and written communication skills, with the ability to articulate technical information to diverse audiences.

Preferred Qualifications :

- Extensive knowledge of Python Frameworks

- Experience in Agile or Scrum environments.

- Knowledge of data science libraries (e.g, Pandas, Numpy) and machine learning frameworks (e.g, TensorFlow, PyTorch) is a plus