Principal Software Engineer, Full Stack (Observability)

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. About the Team At Salesforce, trust is our #1 value, and the Trusted Services organization builds the security, resilience, and data governance capabilities that thousands of customers rely on every day. Our Event Monitoring team is building on its deep foundation in event data to deliver a single, coherent platform for metrics, logs, and traces across Salesforce. Our charter is to give customers one place to troubleshoot and reason about behavior across multiple services. You'll be joining an established team as it takes on a major new initiative, with room to shape the architecture, the data model, the customer experience, and how the team evolves. How We Build: AI-First Unified Observability is being built with an AI-first engineering strategy. AI assistants are core to how we design, write, review, test, and operate our software. Engineers on this team are expected to: Use AI coding assistants throughout the development lifecycle: scaffolding services, generating tests, drafting migrations, reviewing diffs, and debugging production issues. Drive design conversations with AI in the loop — exploring tradeoffs, generating alternatives, and stress-testing assumptions before committing to an approach Build internal tooling and agents that automate repetitive engineering work (PR triage, on-call runbooks, log analysis, capacity planning). Develop strong judgment about when to lean on AI and when to slow down - verifying generated code, catching subtle hallucinations, and owning the final result Share patterns, prompts, and workflows that make the rest of the team faster We're looking for engineers who are genuinely curious about AI as a craft tool, and want to push the boundary on what an AI-augmented team can ship. What You'll Do: Work closely with Product Management to align and steer cross-functional architectural decisions. Lead the technical design and end-to-end delivery of features, from architecture to production operation. Drive cross-team alignment with partners on data ingestion, query performance, and cost boundaries. Define how Unified Observability cleanly integrates with existing products and telemetry sources: instrumentation standards, data onboarding, access control, and a graceful path from per-team tooling to a shared platform. Use AI tools throughout your day, for code generation, refactoring, test authoring, code review, and investigation. We expect AI use to be part of how the work gets done, not an afterthought, and we look to senior engineers to model what great AI-assisted engineering looks like. Raise the engineering bar across the team through technical mentorship, design reviews, and clear written communication. Help shape team practices, hiring, and engineering culture as the team scales. What We're Looking For: 10+ years of software engineering experience, with 3+ years in a technical leadership or principal-level role. Hands-on experience with Claude Code or similar agentic coding environments. Comfort using AI assistants in your engineering workflow, with judgment about where they accelerate the work and where careful human review is still essential. Ability to decompose product requirements into parallel engineering workstreams and drive execution across a small team. Full-stack engineering ability: deep proficiency in Java (strong API design, data modeling, and service-layer architecture), plus hands-on front-end/UI development experience building modern web interfaces with frameworks such as React or Lightning Web Components (LWC). Demonstrated experience operating distributed, multi-tenant systems at scale, with hands-on knowledge of observability and streaming systems such as OpenTelemetry, Kafka, and large-scale telemetry stores (HBase, ClickHouse, or equivalent time-series databases), and dashboarding with Grafana. A collaborative, low-ego working style. You write clearly, ask good questions, and build consensus around the right technical direction without needing to win every debate. A bias toward measurable customer outcomes and a willingness to be accountable for them. Preferred Qualifications: Background in observability, monitoring, telemetry pipelines, SRE/on-call tooling, or incident response systems. Familiarity with OpenTelemetry and OCSF standards Experience with the OpenTelemetry ecosystem (collectors, semantic conventions, instrumentation libraries) and query languages such as PromQL. Familiarity with high-cardinality metrics, distributed tracing, and log aggregation at scale. Experience building data-visualization and dashboard UIs — charts, time-series views, and interactive query experiences for large telemetry datasets. Experience leading technical strategy across platform and product organizations, including capacity planning and cross-team dependency management. A track record of mentoring senior engineers and shaping engineering culture at team or org scale. Why This Role? You'll join the established Event Monitoring team as it takes on a major new initiative, with a clear product vision, strong PM and design partnership, and meaningful technical headroom to set the long-term direction. The work is visible, the customer impact is direct, and as the solution grows into a foundational platform across the organization, so does the leadership scope of this role. We're committed to building an inclusive team where engineers from a range of backgrounds and experiences can do their best work - if this sounds like the right next chapter, we'd love to hear from you. 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. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: 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. At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $197,300 - $313,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $237,700 - $344,700 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.