Engineering Manager (Software Development and DevOps)

What you'll Do

• Take ownership of architecture design and development of scalable and distributed software systems
• Translate business to technical requirements
• Oversee technical execution, ensuring code quality, adherence to deadlines, and efficient resource allocation
• Data driven decision making skills with focus on achieving product goals
• Design and develop data ingestion and processing pipelines capable of handling large-scale events.
• Responsible for the complete software development lifecycle, including requirements analysis, design, coding, testing, and deployment.
• Utilize AWS services/ Azure services like IAM, Monitoring, Load Balancing, Autoscaling, Database, Networking, storage, ECR, AKS, ACR etc
• Implement DevOps practices using tools like Docker, Kubernetes to ensure continuous integration and delivery. Develop DevOps scripts for automation and monitoring.
• Collaborate with cross-functional teams, conduct code reviews, and provide guidance on software design and best practices.

What you'll Bring

• masters or PhD degree in computer science, Information Technology, or a related field (or equivalent work experience).
• At least 10+ years of experience in software development, with relevant work experience.
• Strong coding skills with proficiency in Python, Java, or C++.
• Experience with API frameworks both stateless and stateful such as FastAPI, Django, Spring, Spring Boot.
• Proficient in cloud platforms, specifically AWS, Azure, or GCP.
• Hands-on experience with DevOps tools including Docker, Kubernetes, and AWS services.
• Strong understanding of scalable application design principles and experience with security best practices and compliance with privacy regulations.
• Good knowledge of software engineering practices like version control (GIT), DevOps (Azure DevOps preferred) and Agile or Scrum.
• Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.
• Experience of SDLC and best practices while development
• Preferred experience with AI/ML based product development.
• Experience with Agile methodology for continuous product development and delivery.
• Experience of managing development team
• Experience in managing consumer grade production application.