Software Engineering SMTS

Salesforce•Seattle, WA

About The Position

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. IN SCHOOL OR GRADUATED WITHIN THE LAST 12 MONTHS? PLEASE VISIT FUTURE FORCE FOR OPPORTUNITIES About us We 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 Overview We 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.

Requirements

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, GCP, 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.

Responsibilities

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.

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: https://www.salesforcebenefits.com.

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