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We are looking for an experienced Team lead/Engineering Manager for our Bangalore location who is keen on developing the next generation cloud-based data management SaaS platform. We are looking for someone who is motivated to work in a dynamic environment with the latest technologies. Someone who is excited at the prospect of joining a core team that is working on a disruptive SaaS data management solution. This is an opportunity to start on the ground floor and grow with a company that has huge potential.
Job Responsibility:
Design and develop features that power Komprise data management platform managing billions of files and petabytes of data
Design and own major components and systems of our product architecture, ensuring that Komprise data management platform is highly available and scalable
Work in agile, customer focused and fast paced team with direct interaction with the customers
Work with Product, Testing and Customer teams to understand customer requirements and use cases, ensure proper testing of functional areas and deliver a high quality product, and take feedback from customers to improve the product
Analyse customer escalated issues and provide resolutions in a timely manner
Ensure timely delivery of features and projects with high quality
Project and people management of team(s) within the BE organisation
Performance evaluation and assessment of subordinates
Requirements:
8+ years of software development experience
At least 3 years as a team lead or 1 year as an engineering manager
Solid grasp of computer science fundamentals and especially data structures, algorithms, multi-threading
Ability to solve difficult problems with a simple elegant solution
Solid object-oriented programming background in Java with impeccable design skills
Ability to manage and execution of projects by leading a team of engineers
Understanding and inculcating the cultural values of our organization
Nice to have:
Experience with object-based cloud systems is a plus (e.g. Amazon S3, Azure, Google Cloud Platform)
Experience with distributed systems, clustering and scaling is a plus