Director, Software Engineering - Big Data Platform & Storage
Salesforce · India - Hyderabad
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Salesforce is hiring a Director, Software Engineering - Big Data Platform & Storage in India - Hyderabad.
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details
Responsibilities
- AI Team Culture: Create a culture where engineers actively use AI tools as a force multiplier, for research, spike work as well as day to day sprint work.
- AI-Driven Development: Champion the use of AI coding assistants (Claude Code, Cursor etc) to accelerate feature development, code review, test generation, and documentation.
- AI-Driven Operational Excellence: Partner with engineers and infrastructure teams to identify and automate high-frequency operational work (on-call runbooks, Day 2 operations, monitoring and alerting)
- Define and drive the vision for your teams; with a focus on AI, Customer Success, Feature delivery, Service Ownership, Availability and Scalability; and Ease of Use.
- Be a subject matter expert for distributed systems, Big Data compute and storage systems and related technologies.
- Build and lead a team of engineers to deliver reliable, scalable and secure big data services for various business needs.
- Drive execution and delivery by collaborating with cross functional teams, architects, product owners and engineers.
- Setup engineering best practices and tooling to improve CI/CD and Code Quality for your teams.
- Invest in continuous employee development for a high caliber team by mentoring and coaching engineers and technical leads in your teams.
- Invest in employee wellbeing and lead with empathy.
- Recruit and attract top talent.
Requirements
- B.E. / B. Tech in Computer Sciences or equivalent field.
- 12+ years of relevant experience in software development with 3+ years of experience managing teams
- Experience in recruiting and building great teams.
- Experience in Distributed Systems, NoSQL datastores and/or data processing techniques in big data.
- Experience building and operating large scale services on the public cloud platforms like AWS, GCP, Azure
- Experience in BigData open source technologies like Phoenix, HBase, Hadoop, Kafka, MongoDB, Spark, Presto, Hive, Airflow.
- Experience providing mentorship, technical leadership, and guidance to team members.
- Strong customer service orientation and a desire to help others succeed.
- Strong focus on Service Ownership with experience in defining Services SLOs/SLAs
- Top notch written and oral communication skills.
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