Hybrid Senior Software Engineer – AI Productivity Tools, Performance Engineering

at Salesforce

• Job title: Senior Software Engineer – AI Productivity Tools, Performance Engineering
• Job type: Full Time
• Experience level: Senior
• Salary: $148,500 - $223,900 per year
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Cloud, Distributed Systems, EC2, Java, Python
• Location requirements: Hybrid, San Francisco, United States

About the role

• Senior Software Engineer developing AI-powered productivity tools at Salesforce. Collaborating with engineering to enhance workflows and efficiency across teams.

Responsibilities

• Develop productivity tools that enhance engineering efficiency through automated performance monitoring, anomaly detection, and issue resolution
• Build intelligent frameworks that automate performance anomaly detection, infrastructure health checks, and root cause identification across telemetry, logs, and system utilization metrics.
• Explore emerging AI landscape and web technologies and collaborate with senior team members to identify and advance opportunities for tool improvements.
• Participate in product design discussions and help address software performance issues by identifying hotspots and developing prototypes to demonstrate potential solutions.
• Leverage a deep understanding of AWS services to design, build, and maintain scalable tools and services.
• Instrument, benchmark and define baselines to evaluate latency, reliability, and accuracy, identify gaps, and optimize performance.
• Develop and maintain highly available, scalable mission critical distributed services to enhance developer efficiency through visualizations and AI powered automated analysis.
• Clearly communicate your work, findings, and analysis to team members and present recommendations effectively to technical audiences.

Requirements

• A related technical degree required.
• 5+ years of software development experience, with strong fundamentals in data structures, algorithms, and design patterns.
• Python is highly preferred; experience in Java is a plus.
• Hands-on experience with AWS services (EC2, S3, RDS, ECS, Lambda), optimizing architectures for scalable and cost-effective operations.
• Solid understanding of distributed systems, databases, and cloud infrastructure.
• Strong problem solving, communication, and collaboration skills.
• Curiosity and initiative to question, and explore the evolving Gen AI landscape.

Benefits

• time off programs
• medical
• dental
• vision
• mental health support
• paid parental leave
• life and disability insurance
• 401(k)
• employee stock purchasing program