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Key skills for this role
· Lead, mentor, and grow a high-performing engineering team.
· Drive performance management including quarterly appraisals.
· Manage resource planning, hiring, and team structure.
· (Good to have) Experience leading Data Engineering teams, including ETL pipeline development.
· Facilitate Agile ceremonies: daily standups, sprint planning, and retrospectives.
· Plan and manage sprints, monitor velocity, and track delivery metrics.
· Ensure alignment with the product roadmap and timely feature delivery.
· Balance task allocation and team workloads effectively.
· Be hands-on when required in Python-based projects and microservices.
· Enforce coding standards and modern development practices.
· Review code and ensure delivery of maintainable, high-quality software.
· Troubleshoot and resolve performance, scalability, and deployment issues.
· Own solution architecture with a focus on scalability, security, and performance.
· Oversee containerization and deployment processes, including Docker-based on-premise deployments .
· Collaborate with DevOps to ensure smooth CI/CD and version control practices.
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· Work closely with Product Managers, Business Stakeholders, and QA teams.
· Lead discussions on bugs, technical challenges, and product improvements.
AI-driven national and cyber security company providing data analytics and information-security solutions to security agencies and enterprises.
Visit company websiteJobs and hiring trendsINR 6000000-7000000 yearly / year
Full-time
Senior · 15+ years experience
Onsite
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