Hybrid Director, Software Engineering – Performance Engineering

at Salesforce

• Job title: Director, Software Engineering – Performance Engineering
• Job type: Full Time
• Experience level: Lead
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Azure, Cassandra, Cloud, Distributed Systems, ElasticSearch, Google Cloud Platform, Java, Kafka, Kubernetes, MySQL, NoSQL, Postgres, Redis
• Location requirements: Hybrid, Hyderabad, India

About the role

• Director of Software Engineering managing performance engineering and innovative AI solutions at Salesforce. Leading engineering teams to solve complex challenges for large-scale systems.

Responsibilities

• Support leadership vision and values, and inspire the team to do their best to achieve the goals.
• Manage deliverables, objectives, priorities, trade-offs, risks, and team performance.
• Delegate effectively, providing context and resources and letting creativity flourish. You know when to stay out of the way, and when to intervene in the best interest of your team and the company.
• Provide technical leadership and career development to the team. Invest in continuous employee development of a highly technical team by mentoring and coaching engineers and technical leads in the team.
• Drive innovation and technical excellence, managing complex technical projects.
• Communicate status, risks, and mitigation strategies to ensure on-time delivery of high-performance solutions.
• Partner with product engineering teams to build scalable systems.
• Attract, hire, and develop top talent.
• Identify opportunities and improve the processes and culture of the engineering organization.
• Lead a team of talented engineers who like to ship performant code and tackle hard engineering problems to meet the scale for our largest customers.
• Establish the necessary processes to achieve optimal product performance.
• Manage complex technical projects and provide roadmap planning.
• Drive improvements to enhance our infrastructure's enterprise readiness.
• Coach, mentor, and provide constructive feedback to direct reports.
• Grow the team and align project assignments with career development goals and company vision.
• Serve as the scrum master and build efficient and healthy teams.
• Collaborate with Product Management, Operations and other stakeholders to develop a vision and roadmap for the team.
• Cultivate a team culture of ownership, empowerment, and innovation.
• Hire, develop, and grow the talent in the team.
• Drive scalable and extensible architecture and good product development practices.
• Work closely with Support and key customers on production issues.
• Ensure Customer escalations are handled with priority and stays Green.
• Demonstrate problem solving and technical innovation through hands-on involvement.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or equivalent experience.
• 15+ years in a software engineering leadership position, managing engineering teams.
• Experience in the software industry, including time as an individual contributor, with at least 5+ years of experience in optimizing large scale systems and big data pipelines.
• 8+ years of engineering experience coding in at least one programming language (e.g., Java, C/C++), and experience learning new development languages.
• Extensive experience with performance and scalability, metrics, and tooling.
• Experience with AWS, Kafka, Storm, ElasticSearch, Cassandra, NoSQL, Postgres/MySQL, Redis, Big Data, Data Lakes, and Kubernetes.
• Knowledge of LLM, Retrieval Augmented Generation (RAG), and AI applications is a plus.
• Experience with big data and pipeline processing at scale.
• Experience with IAAS scale (AWS, GCP, Azure), with familiarity in multi-tenant architecture.
• Experience partnering with product engineering teams to build scalable systems.
• Evaluate business goals from a capacity, reliability, performance and scale perspective, translating these into requirements and influence product roadmaps.
• Experience in recruiting and managing engineering teams focused on performance and scale.
• Excellent communication and presentation skills for both technical and non-technical audiences.
• Strong understanding of product design principles, especially for data-intensive applications.
• Ability to adapt to and manage multiple competing priorities in a fast-paced environment.
• Technical expertise in data modeling, distributed systems technologies, and cloud deployment (provisioning, multi-tenancy, frameworks, and tools for system monitoring and logging).
• Experience with Agile software development methodologies and short release cycles.

Benefits

• Accommodations if you require assistance due to a disability applying for open positions