Director of Software Engineering - Big Data Platform and Storage

Director, Software Engineering - Big Data Platform & Storage

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Job Category

Software Engineering

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

The Salesforce Big Data team is looking for an engineering leader to lead high caliber engineering teams to architect, implement, deliver and operate the big data storage platforms and services that run in our own data centres as well as in the public cloud, AWS and GCP, at a massive scale.

We are defining the next generation of trusted enterprise storage in the cloud. We're a fast-paced, AI First, agile and innovative team. We are looking for an engineering leader to lead two high-impact engineering teams at Salesforce: BigData @Scale - DataManagement and BigData @Scale - SOR (System of Record). These teams are the backbone of Salesforce's multi-petabyte HBase infrastructure, owning the systems responsible for large scale org migrations, backup/restore, data lifecycle, and system-of-record reliability across hundreds of production clusters worldwide.

As an AI-First Engineering Leader, you will focus on developing the team around you. Bring your technical chops to drive your teams to success around feature delivery, operational excellence and service ownership for cloud infrastructure as well as our own data centres. You are as enthusiastic about recruiting and building a great team as you are about challenging technical problems that your team will solve. You have a passion for building highly scalable, reliable and available services. You will also help shape, direct and execute our product vision. You’ll be challenged to blend customer-centric principles, industry-changing innovation, and the reliable delivery of new technologies.

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.

Required Skills/Experiences:

• 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.

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

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Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Experience Level

Executive Level