Engineering Manager - Java

Key Responsibilities :

• Provide strong leadership and mentorship to the engineering team, fostering a culture of collaboration, innovation, and continuous learning.
• Lead the design, architecture, and implementation of highly transactional, large relational, and complex systems.
• Drive the adoption of best practices in system design, including microservices architecture, NoSQL databases, and various communication protocols such as REST, message queues, and RPC.
• Collaborate with cross-functional teams to define technical requirements, prioritize tasks, and deliver high-quality solutions on time.
• Stay updated with emerging technologies and industry trends, and advocate for their adoption where applicable.
• Ensure the scalability, reliability, and performance of systems by conducting thorough analysis and implementing optimizations as needed.
• Oversee the production and cloud architecture, with a deep understanding of AWS services and best practices.
• Conduct regular performance evaluations, provide constructive feedback, and support the professional growth and development of team members.
• Actively participate in recruitment efforts, including interviewing and onboarding new engineering :
• 12+ years of software engineering experience, with team leading experience as a tech lead or manager.
• Exceptional leadership skills with a proven ability to mentor and inspire engineering teams.
• Proficiency in system design principles, with a deep understanding of distributed systems.
• Extensive hands-on experience with Java, Linux, Apache, MySQL, Redis, NodeJS, RDBMS, JavaScript, Mongo DB etc.
• Strong familiarity with microservices architecture, NoSQL databases, and various communication protocols.
• Exposure to functional programming and / or event-driven programming paradigms.
• Solid understanding of object-oriented design, data structures, algorithm design, and complexity analysis.
• Bachelor's degree in Computer Science or a related field from a reputable to Have :
• Experience with containerization technologies such as Docker and Kubernetes.
• Knowledge of CI / CD pipelines and automation tools.
• Familiarity with agile methodologies such as Scrum or Kanban.

(ref : hirist.tech)