Systems Architect
Veeva Systems
Job Overview
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Job Description
About Veeva Systems
Veeva Systems is a mission-driven organization and pioneer in industry cloud, dedicated to helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, Veeva surpassed $2B in revenue in its last fiscal year, demonstrating extensive growth potential ahead.
At the heart of Veeva are its core values: Do the Right Thing, Customer Success, Employee Success, and Speed. Notably, Veeva 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, Veeva supports your flexibility to work from home or in the office, enabling you to thrive in your ideal environment. Join Veeva in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities.
The Role of a Systems Architect
Veeva is actively seeking a talented and motivated Systems Architect to join its dynamic team. As a Systems Architect, you are innately curious, possess a strong penchant for problem-solving, and will play a crucial role in ensuring the reliability, scalability, and performance of Veeva's systems. The mission of this role is to protect, provide for, and progress the software and systems utilized by the product engineering teams. This position represents a strategic blend of planning and hands-on execution, requiring a leader who can both design cutting-edge IT solutions and directly implement them. Ideal candidates typically have experience in enterprise software development or have worked for a high-growth technology company.
What You'll Do
- Provide comprehensive architecture plans for multiple cloud-based applications supporting internal stakeholders across engineering, product support, training, and services teams.
- Partner with stakeholders (business leaders, DevOps, security, infrastructure) to understand application usage, future growth, and strategic goals.
- Recommend specific hardware, software, and methodologies that align with industry best practices, standards, and organizational objectives.
- Oversee the implementation and integration of key business systems.
- Analyze performance and ensure applications like GitLab, Jira, Confluence, TestRail, and Mattermost, hosted in AWS, meet the scalability and reliability needs of internal teams.
- Perform root cause analysis for complex failures and propose modern solutions and tools.
- Establish metrics to monitor system performance, proactively identify issues, and recommend solutions for optimal performance.
- Identify and troubleshoot performance bottlenecks and reliability issues across the stack.
- Implement best practices for cloud-based infrastructure, ensuring security, scalability, and cost efficiency.
- Stay informed about emerging technologies and industry trends, including AI, to identify opportunities for innovation within enterprise business systems.
- Create detailed documentation of systems architecture designs, technical specifications, and implementation plans.
- Demonstrate a self-driven commitment to continuous system improvement and learning to provide full-stack diagnostics and determine root causes.
- Communicate effectively with engineering and infrastructure teams, describing problems succinctly with sufficient detail.
- Engage in real-time communication during outages with both technical and non-technical audiences.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, Information Technology, or a similar degree, or equivalent work experience.
- 8+ years of working experience as a Systems Architect.
- 2+ years of GitLab implementation experience.
- Strong understanding of computer systems, networking, and data storage.
- Proven ability to architect scalable solutions across enterprise applications.
- Experience with AWS and container orchestration tools (e.g., Kubernetes).
- Familiarity with infrastructure as code tools (e.g., Terraform, Ansible) and version control systems (e.g., Git).
- Independent learner, curious to learn new technologies.
- Excellent problem-solving skills and the ability to troubleshoot complex issues under pressure.
- Experience with disaster recovery planning and implementation.
- Experience with performance tuning of databases and distributed storage systems.
- Demonstrated history of incident management and leadership ability.
- Strong attention to detail, goal-oriented.
- Commitment to excellent customer service.
- Effective communication skills across all levels—whether talking to individual contributors or executives.
Nice to Have
- Solid scripting skills; experience with Shell, Bash, Ansible, Python, Go, Ruby, etc.
Perks & Benefits
- Medical, dental, vision, and basic life insurance.
- PTO and company-paid holidays.
- Retirement programs.
- 1% charitable giving program.
Compensation & Location
The base pay for this role ranges from $95,000 to $175,000 CAD. Actual salaries may vary based on experience and location. Veeva bases offers on unique qualifications, experience, and expected contributions, with potential eligibility for variable and/or stock bonuses. While Veeva’s headquarters are in the San Francisco Bay Area, this is a Work Anywhere company supporting remote flexibility.
Key skills/competency
- Systems Architecture
- Cloud Infrastructure (AWS)
- Scalability & Reliability
- Performance Tuning
- Incident Management
- GitLab Administration
- Container Orchestration
- Infrastructure as Code
- Problem Solving
- Stakeholder Communication
How to Get Hired at Veeva Systems
- Research Veeva's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Highlight architecture expertise: Showcase proven experience architecting scalable cloud solutions, especially with AWS and container orchestration.
- Emphasize problem-solving: Detail instances of complex troubleshooting, root cause analysis, and incident management leadership.
- Demonstrate collaboration: Provide examples of effective communication and partnership with engineering, DevOps, and business leaders.
- Show continuous learning: Illustrate your curiosity for new technologies, including AI, and your commitment to full-stack diagnostics.
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