Job Category
Software EngineeringJob Details
About the RoleAs aLead Software Engineer (LMTS), you will play a critical role in leading technical execution, shaping product direction, and driving engineering excellence within the CAPS team. You’ll set the technical direction for scalable systems, ensure operational readiness, and coach engineers to raise the bar. In addition to core engineering, you’ll collaborate across engineering, product, and infrastructure teams—and play a key role in identifying where GenAI/LLMs can improve customer trust and where AI tools can accelerate developer productivity.
ResponsibilitiesLead end-to-end development of high-impact features, from design through production
Shape the technical roadmap, contribute to architectural decisions, and ensure systems are scalable and maintainable.
Be hands-on in delivering clean, reliable code—while also guiding design reviews, technical planning, and quality standards.
Collaborate with product, design, and infrastructure teams to align on customer needs and priorities.
Proactively identify and resolve architectural and operational challenges, guiding the team through scalable solutions.
Identify opportunities tointegrate LLMs into availability communications, insights, and analyticsto improve user experience.
Champion best practices in testing, deployment, and observability.
Mentor engineers across levels and foster a culture of quality, performance, and trust.
Promote the use ofAI-assisted development tools(e.g., Cursor, GitHub Copilot) to boost engineering efficiency and onboarding.
Represent the team in broader architecture discussions, reviews, and cross-org collaboration.
Bachelor’s or Master’s degree in Computer Science or related field, or equivalent industry experience.
9+ yearsof software engineering experience, with a proven record of technical leadership and system delivery.
Deep expertise in one or more backend languages (e.g.,Java, Python, Node) and experience withfrontend frameworks(e.g., React).
Proficient withdatabases (SQL & NoSQL), caching, telemetry, and performance tuning.
Experience withcloud infrastructure(preferably AWS),Docker/Kubernetes, and CI/CD pipelines.
Proven track record oftechnical leadership, influencing cross-functional teams and mentoring other engineers.
Passionate about quality, performance, and continuous improvement—with a bias toward action.
Demonstrated ownership ofcomplex systems in production, including leading on-call and support rotations.
Experience with observability, telemetry, or incident management tools.
Familiarity with SLIs, SLOs, and service ownership practices.
Contributions to open-source projects or participation in tech talks/conferences.
Familiarity withGenAI and LLMs, especially in applying RAG, summarization, or classification to real-world workflows.
Experience using or championingAI developer tools(e.g., Cursor, Copilot, CodeWhisperer) to improve code quality or productivity.
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Posting Statement
to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. For Washington-based roles, the base salary hiring range for this position is $184,000 to $253,000. For California-based roles, the base salary hiring range for this position is $200,800 to $276,100.משרות נוספות שיכולות לעניין אותך