Remote Performance Engineer

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $2B in revenue in our last fiscal year with extensive growth potential ahead.

At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a  public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors.

As a  Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment.

Join us in  transforming the life sciences industry , committed to making a positive impact on its customers, employees, and communities.

The Role

At Veeva, each software release is highly scrutinized to meet the demands of our customers. As a Performance Engineer, you'll have a key role in our product’s success. You will work with developers to test and optimize Veeva’s software prior to its release and monitor and troubleshoot performance issues in production. You will work with product management to get direct exposure to the usage patterns we strive to satisfy. This is a technical and hands-on role for someone who is adept at gathering and analyzing performance data and finding the root cause of performance bottlenecks.

• Define, develop and achieve performance/scalability benchmarks for Veeva products
• Efficiently work with various performance measurement and profiling tools such as Yourkit and JMeter to identify performance and concurrency bottlenecks
• Collaborate with members of the Engineering team to solve performance problems
• Monitor production performance and investigate issues
• Develop tools to automate performance monitoring

• 3+ years of experience in Performance Engineering and Benchmarking
• Proficiency with Java, MySQL, and scripting tools such as Python and Shell scripting
• Extensive hands-on experience with performance engineering, including the use of JMeter, LoadRunner, or similar tools, as well as profiling tools
• Ability to find the root cause of performance bottlenecks with profiling tools
• Expert in distributed computing systems and stack
• Comfortable with Linux, Docker, AWS, GIT, in terms of both tools and systems administration
• We are looking for strong mentors with a proven record of making your team better

• Understanding of modern database systems such as Redshift and search tools such as SOLR

• Medical, dental, vision, and basic life insurance
• PTO and company-paid holidays
• Retirement programs
• 1% charitable giving program

• Base pay: $95,000 - $160,000
• The salary range listed here has been provided to comply with local regulations and represents a potential base salary range for this role. Please note that actual salaries may vary within the range above or below, depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications, experience, and expected contributions. This position may also be eligible for other types of compensation in addition to base salary, such as variable bonus and/or stock bonus.

#LI-Remote

Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.

Veeva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at  View email address on ca.talent.com .