MTS/SMTS/LMTS/ Software Engineer

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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.

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. 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!

About the Team — Life Sciences Cloud

Salesforce Life Sciences Cloud is purpose-built for pharmaceutical, biotech, medical device, and healthcare companies — helping them accelerate innovation, improve patient outcomes, and streamline commercial operations. Our engineering team builds industry-specific solutions across clinical data management, HCP engagement, patient services, and regulatory workflows, all powered by Salesforce's AI + Data + CRM platform and Agentforce.

We work in a deeply collaborative, cross-functional environment with Data Scientists, UX Designers, Product Managers, and domain experts — building enterprise-grade solutions that directly impact people's lives.

Role Description

We are hiring Software Engineers across multiple levels — MTS, SMTS, and LMTS — on the Life Sciences Cloud team. Whether you are a strong individual contributor, a seasoned technical lead, or a force-multiplying engineering leader, we want to hear from you. The level of the role will be determined based on your experience, scope of impact, and technical depth.

Your Impact — You Will:

Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow — pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code

Design and orchestrate complex systems where AI agents integrate seamlessly into life sciences human workflows — spanning clinical data, HCP engagement, patient services, and regulatory operations — driving efficiency and innovation at scale

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

Collaborate with Product, UX, and domain experts to translate complex regulatory and compliance requirements (HIPAA, 21 CFR Part 11, GxP) into scalable, production-ready software

Participate across the full software development lifecycle — design, development, code review, testing, deployment, and monitoring

Write automated unit, integration, and functional tests as a standard part of your engineering practice

At SMTS and above, you will additionally:

Lead technical design and architecture decisions for significant features and systems on Life Sciences Cloud

Mentor and uplevel engineers through meaningful code reviews, hands-on guidance, and technical coaching

Drive service ownership — proactively monitor production systems and lead incident resolution

At LMTS, you will additionally:

Define technical strategy and multi-quarter architecture roadmaps, influencing platform-wide decisions across the Life Sciences vertical

Develop each engineer's ability to work effectively in an AI-augmented environment, coaching growth into higher-level system design and architecture work

Own how AI tools are integrated into the team's daily development cycle — including configuration, feedback loops, and judgment calls about when human review is required

Serve as the guardian of architectural integrity, security best practices, and technical standards as AI increases code volume — coaching engineers to critically audit AI-generated code for logic flaws, vulnerabilities, and performance issues

Act as a technical partner to senior Product, Design, and domain leadership to translate strategic Life Sciences initiatives into engineering reality

Required Skills:

3+ years of software engineering experience (MTS: 3–5 yrs / SMTS: 5–8 yrs / LMTS: 8+ yrs) with a proven track record of shipping production-quality software

Strong proficiency in one or more of Java, Python, Go, or JavaScript/TypeScript for scalable backend or full-stack development

Deep understanding of data structures, algorithms, and software design principles

Solid experience with RESTful API design, microservices architecture, and distributed systems

Experience with relational and/or NoSQL databases, query optimization, and data modeling

Familiarity with cloud infrastructure and deployment practices (AWS, GCP, or Azure)

Experience with CI/CD pipelines, version control (Git), and modern DevOps practices

A demonstrated, genuine AI-first approach to engineering — using AI tools to move faster, build fluency across the stack, and contribute well beyond your core specialty

Hands-on experience with AI-assisted development tools (e.g., Claude Code, GitHub Copilot, Cursor, Codex, etc.)

Advanced prompt engineering skills — ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready

At LMTS, additionally required:

Active, hands-on proficiency with AI development tools at full utilization — with the technical depth to evaluate architectural integrity and make informed decisions about AI-generated output

Proven track record of influencing technical direction across multiple teams and driving org-level engineering decisions

Preferred Skills:

Life sciences or healthcare domain knowledge — clinical trials, pharma commercial operations, medical devices, HL7/FHIR, HIPAA/GxP compliance

Familiarity with regulated software environments — 21 CFR Part 11, Computer System Validation (CSV), CDISC, RTSM, or EDC systems

Experience building AI/ML integrations or agentic solutions at production scale

Salesforce platform familiarity — Apex, LWC, Agentforce (nice to have, not required)

Posting Statement

Key changes made:

Required Skills now purely covers core SWE fundamentals — Java/Python/Go/JS, distributed systems, databases, cloud, CI/CD

Salesforce platform skills (Apex, LWC, etc.) moved to Preferred and framed as "nice to have"

Kept the full AI Fluency language intact across all three levels

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 .

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Posting Statement