Big Data Platform & Distributed Systems (Mid/Senior/Lead/Principal)

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 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 Teams By applying to this role, you will be considered for two mission‑critical teams at the heart of our data strategy. Both teams operate at extreme scale, leveraging Public Cloud (AWS/GCP) and Kubernetes to power the next generation of data‑driven intelligence. Pillar 1: Data Engineering & Observability Build and own large‑scale data pipelines and observability systems that power metrics, logging, and real‑time insights across services. This role focuses on designing reliable telemetry pipelines, improving monitoring and alerting, and ensuring data quality and system visibility at scale. Ideal candidates have strong distributed systems fundamentals, backend development experience (Java or similar), and experience operating high‑throughput data or monitoring platforms in cloud or hybrid environments. Build and ship high‑quality, production‑grade software using modern engineering practices, with AI as a core part of your development workflow by 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 human workflows, driving efficiency and innovation at scale. Pillar 2: Data Cloud. Big Data Compute platform team. Owns the compute infrastructure that powers large‑scale Spark workloads. The team focuses on optimizing core Spark performance, solving distributed systems challenges, and building scalable AI infrastructure, including exploring efficient ways to run smaller language models. 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. Required Skills Strong understanding of distributed systems design, including scalability, fault tolerance, and consistency trade‑offs in large‑scale data platforms. Experience designing and operating large‑scale data pipelines, ETL workflows, or streaming data systems. Experience with big data and data platform technologies such as Spark, Flink, Kafka, Trino, HBase, or similar. Experience operating data platforms or infrastructure services at enterprise scale. Experience building or operating observability systems, telemetry pipelines, or monitoring platforms. Experience using metrics, logging, and telemetry to drive operational excellence. Build and ship high‑quality, production‑grade software using modern engineering practices, with AI as a core part of your development workflow by 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 human workflows, 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. Desired Skills A demonstrated, genuine AI‑first approach to engineering. Using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty. Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows. Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production‑ready. Benefits & Perks Check out our benefits site which explains our various benefits, including wellbeing reimbursement, generous parental leave, adoption assistance, fertility benefits, and more. Salesforce Information Check out our Salesforce Engineering Site. *IN SCHOOL OR GRADUATED WITHIN THE LAST 12 MONTHS? PLEASE VISIT FUTURE FORCE FOR OPPORTUNITIES* Accommodations If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. Candidate Privacy Statement 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 the 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. 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: Pursuant 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 $117,200 - $313,700 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable. #J-18808-Ljbffr salesforce.com, inc.