Technical Manager/Solution Architect - Software Development

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 (ref:hirist.tech)

Location: in, IN

Posted Date: 11/27/2024