Seventh Contact

Software Product Engineering Manager PDLC

  • Job Type: Full Time
  • Industry Type: IT Sector
  • Industry Location: Pune
  • Experience: 15-25yrs
  • No. of Positions: 10
  • Salary Range: 18-30 lac
  • Primary Skills: Technical Architect Java AngularJS Product Management RDBMS Engineering Management Agile
  • Secondary Skills: Scrum React.js Solution Architect PDLC
  • Job Location: Pune
  • Posted Date: 384 days ago
Job Description

 

- Manage the entire PRODUCT Development life cycle

 

- Understanding the PRODUCT purpose, Architecture and Designing.

- Conceptualizing and implementing PRODUCT ideas for solving for business problems.

- To identify and solve technically challenging problems that will enable the company to build a World Class PRODUCT.

- Do Architecture Review of Products and share actionable recommendations to ensure architecture longevity.

- Hire and mentor technical, solution architects.

- Keeping an eye on current and future trends and ensure that the capability is built within the company.

Candidate Requirements :

- Extensive work experience in building complex and scalable PRODUCTS.

- Should have experience of Product Architecture for WEB, Mobile and/OR Cloud platforms

- Should have experience of Product Engineering (Architecture and Design) in Java Full Stack.

Technical Requirements :

- Deep understanding of Java Stack including modern front-end technologies including JavaScript, React/Angular

- Deep understanding of data-driven web application design and development

- Expertise in Designing, Modelling and Tuning RDBMS

- Extensive knowledge of message brokers and asynchronous systems in general, especially Kafka and/or RabbitMQ

- Experience in building modern cloud-native microservices based applications

- Experience with large-scale distributed storage and database systems (SQL or NoSQL, e.g. MongoDB/Cassandra/MySQL).

- Familiarity with DevOps - containers and related technologies (Docker, Kubernetes, ECS)

- Experience with Agile/Scrum development methodologies

- Knowledge of data analytics and machine learning.

- Sound knowledge of data security & compliance.

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