Software Engineering LMTS

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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.

We're Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too - driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good - you've come to the right place.

Your Impact:
In this role, you will have a crucial role in designing and implementing cloud-based infrastructure and platform tools for Salesforce AI Platform. This role requires high technical skills along with a strong affinity for architecture, Infra scaling, performance, and Infrastructure development to improve the performance and scalability of systems. You will be leading the R&D team's development methodology, tools, and frameworks and make a significant impact on the go-to-production process for an auto-scaled cloud system.

Who You'll Work With:
You will be a part of the Salesforce AI Platform, an AI technology that makes all Salesforce products smarter. In AI Platform, we develop AI solutions for all Salesforce clouds. We automate data entry and predictive analysis so our customers can make every selling moment count. Our AI solution prioritises the best next steps, helps to win more opportunities, makes better decisions, increases forecast accuracy, and more.
Salesforce AI Platform group comprises data scientists, engineers, and growth analysts dedicated to driving product strategy with data-driven insights.

Responsibilities
Design and implement cloud-native infrastructure supporting Agentforce and the broader Salesforce AI Platform, including agent orchestration services, model serving APIs, and LLM gateway components.
Drive the platform's AIOps capabilities, including observability integrations for noise reduction, anomaly detection, and proactive incident detection across AI services.
Architect and build AI agents and intelligent pipelines that automate operational workflows, encompassing log ingestion, real-time signal analysis, trend detection, and surfacing actionable insights for engineering teams.
Lead infrastructure migrations (cluster upgrades, platform unification, service onboarding) with a focus on safety, automation, and zero disruption to production AI services.
Partner with AI/ML engineers and data scientists to ensure the platform supports model training, inference, fine-tuning, and agent orchestration workloads efficiently.
Drive cost optimization across compute-heavy AI workloads (GPU instances, node pools, inference endpoints).
Support software engineers through technical guidance, code reviews, and building automation that multiplies team velocity.

Required Qualifications
8+ years of software development or infrastructure engineering experience.
Deep expertise with Kubernetes, managing, upgrading, and operating a fleet of services in production environments.
Experience building and deploying infrastructure for AI/ML or LLM workloads (model serving, inference APIs, agent orchestration services).
Proficiency with AWS (EKS, SageMaker, S3, EC2, IAM), including writing custom IAM policies and managing cross-account access patterns.
Hands-on experience with AIOps or observability tooling, alert management, log analysis pipelines, and APM platforms.
Experience with infrastructure-as-code and CI/CD deployment tooling.
Strong grasp of DevOps/SRE principles, run-books, alerting, on-call readiness, and operational documentation.
Proficiency in Python and/or Go comfortable with Bash for automation.
Ability to drive work end-to-end: design → implementation → production deployment → operational ownership.
Strong communication skills, able to align across engineering, SRE, and product teams on complex technical tradeoffs.
Genuine ownership mindset, you care deeply about reliability, security, and platform health.

Preferred Qualifications
Experience building or integrating AI agents, including LLM-based agents, tool-use frameworks, or multi-step autonomous workflows.
Familiarity with AI agent platform architecture (agent orchestration, intent classification, model routing, LLM gateway patterns).
Experience with AIOps platforms, alert noise reduction, anomaly detection, or intelligent incident triage using ML.
Knowledge of AWS AI/ML services: SageMaker (including Ground Truth), Bedrock, or equivalent LLM serving infrastructure.
Familiarity with open-source AI/ML frameworks and LLM serving stacks (vLLM, Triton, Ray Serve, etc.).
Experience with large-scale platform unification or service mesh migration efforts.
Track record of building automation tooling that improves engineering team productivity, including AI/agent-powered developer tools.

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, and our AI agents accelerate your impact so you can. 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 .

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 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. 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.