Jobs / United States / Salesforce INC
Real-time Data Platform Software Engineer- Senior/Lead
Salesforce INC · 🇺🇸 California - San Francisco
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 1,544 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 498 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Salesforce INC paid sponsored hires in similar roles45 certified filings for “Senior Technical Support Engineer” (Software Quality Assurance Analysts and Testers) in TX: $118k–$148k, median $132k. Most were filed at wage level III (67%) — 3 lottery entries, ≈46% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Salesforce INC
The US Department of Labor certified 1,544 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 498 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Salesforce INC →
About the role
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. Sales Cloud AI is revolutionizing how organizations strategize, execute, and refine their lead outreach and pipeline management. We are looking for engineers to develop the Sales Intelligence Platform (SIP) within Sales Cloud. In this role, you will be responsible for the architecture, development, and operation of a high-scale, low-latency platform that manages real-time ingestion and streaming pipelines. The Sales Intelligence Platform (SIP) processes conversational data from voice, video, and email to power various Sales Cloud AI agents. These agents provide tools for lead outreach and pipeline management, significantly boosting sales productivity. By generating intelligent insights from conversational data, the platform empowers sellers to enhance their overall efficiency. Required skills and experience • Degree in Computer Science (B.S. required, M.S. preferred) with a solid grasp of object-oriented design and principles. • Over 7+ years of practical experience architecting, implementing, and managing durable distributed systems at scale for major enterprise cloud providers. • Proven track record in constructing high-availability, large-scale distributed architectures for client-facing environments. • Hands-on experience with building big data high availability pipelines with Flink • Demonstrated experience acting as a CI/CD champion, with a proven ability to uplift and mentor teams in best practices and automation. • Extensive knowledge of contemporary public cloud frameworks (including AWS, GCP, or Azure) and high-performance backend infrastructure. • Proficiency in object-oriented programming with mastery in at least one language such as Java, Go, Python, C++, or Ruby. • Familiarity with infrastructure automation, cloud provisioning, and AI-assisted development methodologies. • Strong interpersonal and professional communication skills, with a focus on cross-functional collaboration and leadership. • Commitment to technical excellence through meticulous attention to detail and proactive mentorship of junior engineers. Preferred qualification • Proven ability to develop low-latency, large-scale data ingestion pipelines • Background in creating enterprise-grade, AI-driven sales solutions • History of architecting distributed real-time streaming systems • Expertise with message queuing technologies like Kafka • Hands-on experience with open-source ecosystems including Flink, Spark, Storm, Cassandra, Zookeeper, and MongoDB • At least 5 years of experience with Java, Spring, microservices, REST APIs, and distributed systems • Knowledge of deployment architectures and CI/CD tools such as Jenkins, Terraform, and Spinnaker • Familiarity with container orchestration platforms like Docker, Kubernetes, Helios, Fleet, or Mesos • Experience managing and monitoring mission-critical infrastructure, including logging, alerting, and reporting services • Proficiency in using NoSQL and SQL databases such as