Software Engineering, LMTS (Backend + Infra)

Software Engineering, LMTS (Backend + Infra) at Salesforce scores 25 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.

India - BangaloreleadFull time

AI in this role

Lead backend and infrastructure software engineer building scalable distributed file systems and cloud components for AI CRM platforms.

distributed-filesystemsmicroservices

ai-agentsbackend-engineeringdistributed-systemssoftware-architecturecode-review

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

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.

Role DescriptionSalesforce has immediate opportunities for Lead Software Engineers who want their lines of code to have significant and measurable positive impact for users. 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.

As a Lead Software Engineer, your responsibilities will include:

Envision and build new components/frameworks in distributed filesystems in an ever-growing and evolving market technology to provide scale and efficiency
Design and develop high-quality, production-ready code used by millions of users of our cloud platform
Build efficient components/algorithms on a microservice multi-tenant SaaS cloud distributed filesystem environment
Code review, mentor junior engineers, and provide technical guidance to the team

Job Duties

Research, design, and develop computer and network software or specialized utility programs
Update software or enhance existing software capabilities
Lead the team with the product owner role in collecting requirements, defining the roadmap, driving partners, and unblocking the team in execution
Contribute to the success of the scrum team through code reviews, deployment process automation, documentation, refinement, planning, and retros
Lead, collaborate, communicate, and mentor others on the team and in the company
Work closely with cross-functional teams to deliver a roadmap that meets shared business goals
Resolve complex technical issues and drive innovations that improve system scalability, robustness, and availability
Troubleshoot issues with services the team develops and owns
Participate in the team's on-call rotation to keep services operational and highly available
Create, maintain, and share technical documentation used by engineers and other team members
Telecommuting is an option; some travel to Salesforce offices may be required

Required Skills

10+ years of software development experience with mastery in systems design and programming languages/platforms
Deep knowledge of designing distributed filesystems in both on-prem & cloud
Deep knowledge of object-oriented programming and scripting languages: Java, Python; strong SQL skills and experience with relational and non-relational databases (e.g. PostgreSQL, Trino)
Experience 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
Strong understanding of software development best practices with demonstrated leadership skills

Preferred Skills

Design patterns & experience with Big Data / ML and S3
Hands-on experience with streaming technologies like Kafka
Experience with Elasticsearch
Experience with Terraform, Kubernetes, Docker
Experience working in a high-paced, rapidly growing multinational organization

Leadership Expectations

Demonstrate high proficiency in engineering best practices — scalability, security, fault tolerance, concurrency, and database modeling — to consistently ensure high-quality software delivery
Lead by example, guiding the team in adopting these standards while effectively navigating risks and making strategic technical trade-offs
Leverage deep domain expertise to anchor the team and personally drive the most complex and challenging deliverables
Maintain a holistic, systems-level vision of how the team's work integrates into the broader organizational architecture
Drive comprehensive technical design specifications and robust test plans to guide successful team execution

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.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

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.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI AgentsBackend EngineeringDistributed SystemsSoftware ArchitectureCode ReviewDistributed FilesystemsMicroservices

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
Tell me about a project where backend engineering was part of your work. What did you do?
Tell me about a project where distributed systems was part of your work. What did you do?
Tell me about a project where software architecture was part of your work. What did you do?
Tell me about a project where code review was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: AI Agents, Backend Engineering, Distributed Systems, Software Architecture, and Code Review. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.

Want your resume actually rewritten for this job?

The free preview above is everything we have today. A full resume rewrite is not live yet and has no price set. Join the waitlist and we will email you if we open it.