Salesforce

Software Engineering LMTS - Backend Distributed Systems

In short

This Engineering Lead role at Salesforce in Bangalore focuses on designing and building large-scale, distributed backend systems for a multi-tenant SaaS CRM platform, with AI integrated into the development workflow. It requires 10+ years of software development experience, strong system design and distributed systems expertise, proficiency in languages like Java, Python, Scala, C#, Go, Node.js or C++, and solid database/SQL skills (PostgreSQL, Trino, Redshift, MongoDB). The role also involves code review, mentoring, and technical leadership within a hybrid engineering team.

About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. 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. Depending on the seniority level, this includes code review, mentoring junior engineers, and providing technical guidance to the team. We pride ourselves on writing high-quality, maintainable code that strengthens the stability of the product. We embrace the hybrid model and celebrate the individual strengths of each team member while encouraging everyone on the team to grow. 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 an Engineering Lead, your responsibilities include:
•Strong proficiency in system design, programming languages, and platforms
•Deep knowledge of designing distributed file systems in both on-premises and cloud environments
•Strong knowledge of object-oriented programming and scripting languages, including Java and Python
•Strong SQL skills and experience with relational and non-relational databases (e.g., PostgreSQL, Trino)
•Experience developing SaaS products on public cloud infrastructure (AWS, Azure, GCP)
•Proven experience in 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
•Strong understanding of software development best practices and demonstrated leadership skills
•Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code
•Design and orchestrate complex, scalable systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale
•Make architectural and design decisions with a strong focus on performance, scalability, and future extensibility
•Contribute to all phases of the SDLC, including design, implementation, code reviews, automation, and testing in a hybrid engineering model
•Build efficient components and algorithms within a microservices-based, multi-tenant SaaS cloud environment
•Contribute to building and maintaining the shared system context — an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably
•Critically evaluate code (human or AI-generated) for correctness, quality, security, and performance
•Mentor engineers and provide technical guidance to drive high standards across the team
Required Skills
•10+ years of experience in software development and large-scale system design
•Strong software engineering fundamentals, including object-oriented design, distributed systems, and scalable architecture
•Proficiency in one or more programming languages such as Java, Python, Scala, C#, Go, Node.js, or C++
•Experience developing SaaS applications on public cloud platforms (AWS, Azure, or GCP)
•Strong understanding of relational and non-relational databases (e.g., PostgreSQL, Trino, Redshift, MongoDB) and solid SQL skills
•Experience with distributed systems concepts such as queues, locking, scheduling, event-driven architecture, and workload distribution
•Deep understanding of software development best practices, with demonstrated technical leadership
Benefits & Perks
•Comprehensive benefits package including well-being reimbursement, generous parental leave, adoption assistance, fertility benefits, and more
•World-class enablement and on-demand training with Trailhead.com
•Exposure to executive thought leaders and regular 1:1 coaching with leadership
•Volunteer opportunities and participation in the 1:1:1 model for giving back to the community

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