Job Category

Software Engineering

Job Details

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 engineers 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 teams 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

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

MTS/SMTS/LMTS/ Software Engineer

Job Description

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