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Job Category
Software Engineering
Job Details
About SalesforceSalesforce 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.
*IN SCHOOL OR GRADUATED WITHIN THE LAST 12 MONTHS? PLEASE VISIT FUTURE FORCE FOR OPPORTUNITIES*We are open to hiring a Senior, Lead, or Principal Engineer for this role.About usWe are a technology-driven team focused on enabling scalable, high-performance data processing and analytics. As part of the Big Data Infrastructure team, you'll use cutting-edge tools like Spark, Trino, Airflow, and Kafka to build resilient, scalable infrastructure for a variety of big data applications.
Position OverviewWe are seeking an experienced Distributed Systems Software Engineer to lead our Big Data infrastructure projects. You will play a critical role in developing reliable and efficient data infrastructure that supports scalable data processing and analytics for both internal and external customers.
Your Impact- Build Data Processing and Analytics Services: Develop scalable data processing and analytics services utilizing our big data stack, including Spark, Trino, Airflow, and Kafka, to support real-time and batch data workflows.
- Architect Distributed Systems: Design, develop, and operate resilient distributed systems that manage thousands of compute nodes across multiple data centers, ensuring scalability and high availability.
- Troubleshoot and Innovate: Resolve complex technical challenges and drive innovations that enhance system resilience, availability, and performance.
- Service Ownership and Live-Site Management: Manage the full lifecycle of services, balancing live-site reliability, feature development, and technical debt retirement. Maintain a strong focus on service reliability and performance.
- On-Call Support: Participate in the team's on-call rotation to address complex, real-time issues, keeping critical services operational and highly available.
- Mentor and Guide Team Members: Provide mentorship and technical guidance to junior engineers, fostering growth, collaboration, and knowledge-sharing within the team.
Required Qualifications- Education and Experience: Bachelor's or Master's in Computer Science, Engineering, or a related field with 5+ years of experience in distributed systems, big data, or similar roles.
- Experience with Cloud Environments: Proficiency in cloud platforms (AWS, Google Cloud Platform, or Azure), containerization (Docker, Kubernetes), and infrastructure-as-code (Terraform, Ansible).
- Expertise in Big Data Technologies: Hands-on experience with Hadoop, Spark, Trino (or similar SQL query engines), Airflow, Kafka, and related ecosystems.
- Proficiency in Programming: Strong skills in Python, Java, Scala, or other programming languages relevant to distributed systems.
- Deep Understanding of Distributed Systems: Solid knowledge of distributed computing principles, data partitioning, fault tolerance, and performance tuning.
- Analytical and Problem-Solving Skills: Proven ability to troubleshoot complex system issues, optimizing for speed, efficiency, and scale.
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.
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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 $143,300 - $306,600 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $172,000 - $334,600 annually.The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.
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