Lead Backend Software Engineer

Salesforce is seeking a Lead Backend Software Engineer to build new and exciting components for its #1 AI CRM platform. This role involves developing high-quality, production-ready code for millions of users, making design decisions based on performance and scalability, and contributing to all phases of the SDLC in a hybrid engineering model. The engineer will build efficient components/algorithms in a microservice multi-tenant SaaS cloud environment, and potentially mentor junior engineers.

Must Have

• Build new and exciting components to provide scale and efficiency
• Develop high-quality, production-ready code for millions of users
• Make design decisions based on performance, scalability, and future expansion
• Contribute to all phases of SDLC including design, implementation, code reviews, automation, and testing
• Build efficient components/algorithms on a microservice multi-tenant SaaS cloud environment
• Code review, mentoring junior engineers, and providing technical guidance
• 7+ years of development experience as a software engineer
• Deep knowledge of object-oriented programming and scripting languages (Java, Python, Scala, C#, Go, Node.JS, C++)
• Strong SQL skills and experience with relational and non-relational databases (PostgreSQL, Trino, Redshift, Mongo)
• Experience with developing SaaS products over public cloud infrastructure (AWS, Azure, GCP)
• Proven experience designing and developing distributed systems at scale
• Proficiency in queues, locks, scheduling, event-driven architecture, and workload distribution
• Deep understanding of relational and non-relational databases
• Understanding of software development best practices and leadership skills

Good to Have

• Technical expertise in Generative AI, particularly with RAG systems and Agentic workflows that use large language models
• Experience with Big-Data/ML and S3
• Hands-on experience with Streaming technologies like Kafka
• Experience with Elastic Search
• Experience with Terraform, Kubernetes, Docker
• Experience working in a high-paced and rapidly growing multinational organization

Perks & Benefits

• Wellbeing reimbursement
• Generous parental leave
• Adoption assistance
• Fertility benefits

Job Category

Software Engineering

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.

Note: By applying to the Software Backend Development posting, recruiters and hiring managers across the organization hiring Software Engineers will review your resume. Our goal is for you to apply once and have your resume reviewed by multiple hiring teams.

Salesforce has immediate opportunities for software developers who want their lines of code to have significant and measurable positive impact for users, the company's bottom line, and the industry. You will be working with a group of world-class engineers to build the breakthrough features our customers will love, adopt, and use while keeping our trusted CRM platform stable and scalable. The software engineer role at Salesforce encompasses architecture, design, implementation, and testing to ensure we build products right and release them with high quality.

We pride ourselves on writing high-quality, maintainable code that strengthens the stability of the product and makes our lives easier. We embrace the hybrid model and celebrate the individual strengths of each team member while encouraging everyone on the team to grow into the best version of themselves. We believe that autonomous teams with the freedom to make decisions will empower the individuals, the product, the company, and the customers they serve to thrive.

Your Impact:

As a Backend Software Engineering, your job responsibilities will include:

• Build new and exciting components in an ever-growing and evolving market technology to provide scale and efficiency.
• Develop high-quality, production-ready code that can be used by millions of users of our cloud platform.
• Make design decisions on the basis of performance, scalability, and future expansion.
• Work in a Hybrid Engineering model and contribute to all phases of SDLC including design, implementation, code reviews, automation, and testing of the features.
• Build efficient components/algorithms on a microservice multi-tenant SaaS cloud environment
• Code review, mentoring junior engineers, and providing technical guidance to the team (depending on the seniority level)

Required Skills:

• 7+ years of development experience as a software engineer.
• Deep knowledge of object-oriented programming and other scripting languages: Java, Python, Scala C#, Go, Node.JS and C++.
• Strong SQL skills and experience with relational and non-relational databases e.g. (Postgress/Trino/redshift/Mongo).
• Experience with developing SAAS products over public cloud infrastructure - AWS/Azure/GCP.
• Proven experience designing and developing distributed systems at scale.
• Proficiency in queues, locks, scheduling, event-driven architecture, and workload distribution, along with a deep understanding of relational database and non-relational databases.
• A deeper understanding of software development best practices and demonstrate leadership skills.
• Degree or equivalent relevant experience required. Experience will be evaluated based on the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.)

Desired Skills:

• Technical expertise in Generative AI, particularly with RAG systems and Agentic workflows that use large language models.
• Experience with Big-Data/ML and S3
• Hands-on experience with Streaming technologies like Kafka
• Experience with Elastic Search
• Experience with Terraform, Kubernetes, Docker
• Experience working in a high-paced and rapidly growing multinational organization