Sr. Software Engineering Manager100 Salesforce, Inc. • Bellevue, Washington, United States

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Sr. Software Engineering Manager

100 Salesforce, Inc.

Bellevue, Washington, United States

Bellevue, Washington, United States

Jetzt Bewerben

Über

About the Role The Streaming Connectors team enables customers to ingest high‑volume, real‑time data from cloud data warehouses, messaging systems, web and mobile applications, and enterprise applications into Data Cloud with low latency, high reliability, and enterprise‑grade security. We are looking for an experienced and technically strong Senior Engineering Manager to lead the Streaming Data Platform team, driving the development of scalable streaming ingestion services, customer‑facing connectors, and platform capabilities that power billions of events every day. What You’ll Actually Be Doing Lead and grow a high‑performing engineering team responsible for building and operating Data Cloud’s real‑time streaming connectors and ingestion platform. Define and execute the technical roadmap for customer‑facing streaming integrations across cloud data warehouses, messaging platforms, and SaaS applications. Drive the architecture and delivery of highly scalable, low‑latency distributed systems capable of processing billions of events with high availability and operational excellence. Partner closely with Product Management, Architecture, Security, and Infrastructure teams to prioritize customer needs and deliver innovative platform capabilities. Champion engineering excellence through design reviews, code quality, testing, automation, and operational best practices. Drive improvements in reliability, scalability, performance, and cost efficiency across streaming services and distributed processing pipelines. Own production health by improving observability, monitoring, incident response, and operational readiness for business‑critical services. Foster a culture of ownership, continuous learning, and technical innovation while mentoring engineers and developing future technical leaders. Collaborate across the Data Cloud organization to define best practices for streaming architectures, distributed systems, and cloud‑native application development. You’re Our Person If 10+ years of software engineering experience building large‑scale distributed systems. 5+ years of engineering management experience leading high‑performing software engineering teams. Strong experience building and operating cloud‑native distributed systems in production. Hands‑on experience with streaming technologies such as Apache Kafka, Apache Spark Structured Streaming, or similar real‑time processing frameworks. Experience designing scalable ingestion pipelines, event‑driven architectures, or data integration platforms. Strong programming skills in Java, Scala, or Python. Experience building services on Kubernetes and public cloud platforms such as AWS, Azure, or GCP. Understanding of distributed systems concepts including scalability, fault tolerance, consistency, partitioning, checkpointing, and resiliency. Experience with modern observability platforms. Proven ability to balance customer delivery, platform investments, operational excellence, and engineering velocity. Excellent communication and collaboration skills with experience partnering across Product, Architecture, Infrastructure, and Customer Success organizations. BS/MS in Computer Science or a related technical discipline, or equivalent practical experience. Benefits & Compensation Typical base salary range for this position is $172,500 - $260,100 annually (base salary only). Time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance. 401(k) and an employee stock purchasing program. Equal Opportunity Employer Salesforce is an equal opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. Salesforces commitment includes creating a workplace that’s inclusive and free from discrimination. All employees and potential employees will be assessed based on 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 recruiting, hiring, job assignment, compensation, promotion, benefits, training, performance assessment, discipline, termination, and more.
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Bellevue, Washington, United States

Sprachkenntnisse

English

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