Company Summary
As the recognized global standard for project-based businesses, Deltek delivers software and information solutions to help organizations achieve their purpose. Our market leadership stems from the work of our diverse employees who are united by a passion for learning, growing and making a difference.At Deltek, we take immense pride in creating a balanced, values-driven environment, where every employee feels included and empowered to do their best work. Our employees put our core values into action daily, creating a one-of-a-kind culture that has been recognized globally. Thanks to our incredible team, Deltek has been named one of America's Best Midsize Employers by Forbes, a Best Place to Work by Glassdoor, a Top Workplace by The Washington Post and a Best Place to Work in Asia by World HRD Congress. www.deltek.com
Business Summary
The Deltek Engineering and Technology team builds best-in-class solutions to delight customers and meet their business needs. We are laser-focused on software design, development, innovation and quality. Our team of experts has the talent, skills and values to deliver products and services that are easy to use, reliable, sustainable and competitive. If you're looking for a safe environment where ideas are welcome, growth is supported and questions are encouraged consider joining us as we explore the limitless opportunities of the software industry.
Position Responsibilities
Role Summary
The Performance Architect is responsible for driving performance, scalability, and reliability improvements across the Vantagepoint enterprise platform. This role focuses on identifying, analyzing, and resolving complex performance issues spanning databases, reporting, APIs, and application architecture, with a strong emphasis on real-world impact in high-concurrency, enterprise environments.
Position Responsibilities
Performance Analysis & Optimization
- Analyze and resolve high-impact performance issues affecting critical client workflows
- Optimize SQL queries, execution plans, indexes, and transaction scopes
- Identify and mitigate deadlocks, blocking, and contention hotspots
- Improve performance of reports, dashboards, and batch processing workflows
- Tune API and application-layer performance
- Validate improvements through benchmarking and regression testing
Architecture & Scalability
- Design solutions balancing short-term remediation and long-term scalability
- Evaluate tradeoffs across multiple active release versions
- Address performance-related technical debt
- Support schema evolution and data access optimization
Collaboration & Execution
- Work closely with Development, QE, Automation, DBA, and Architecture teams
- Participate in design reviews and spike investigations
- Support testing cycles and defect resolution
- Document performance findings and best practices
AI-Specific Responsibilities
- Use AI-assisted tools to accelerate performance analysis and root cause investigation
- Analyze execution plans, deadlock graphs, and query behavior using AI
- Compare performance characteristics across releases and environments
- Identify recurring performance antipatterns
- Validate AI-generated insights through empirical testing
Qualifications
Technical Skills & Expertise
Required
Database & SQL Server (Required)
- Advanced SQL Server performance tuning (query optimization, execution plans, index design)
- Deadlock diagnosis and resolution using Extended Events and deadlock graphs
- Locking and blocking analysis (wait stats, lock escalation, transaction optimization)
- Stored procedure optimization (parameter sniffing mitigation, plan cache management)
- Index strategies, including covering, filtered indexes, and fragmentation management
- Statistics and cardinality understanding
Performance Analysis Tools (Required)
- SQL Server Profiler and Extended Events
- Execution plan analysis (SSMS, Azure Data Studio)
- SET STATISTICS IO/TIME analysis
- Query Store and performance insights
- Wait statistics and blocking chain analysis
Enterprise Application Architecture (Required)
- Multitier application performance patterns (.NET, C#, VB.NET, JavaScript, TypeScript)
- API performance optimization and parameter management
- Caching strategies (plan cache, data cache, predictive paging)
- Large-scale reporting architectures (SSRS, custom frameworks)
- Database schema evolution and backward compatibility
Performance Methodologies (Required)
- Performance testing and benchmarking
- Load testing and scalability analysis
- Root cause analysis for performance regressions
- A/B testing for optimization validation
- Performance monitoring and alerting
Qualifications
- 6-10+ years of enterprise software development experience
- 5+ years of deep performance engineering and architectural optimization experience
AI-Specific Qualifications
- Experience using AI-assisted engineering or analysis tools
- Ability to validate AI outputs responsibly and critically
- Familiarity with AI-based analysis of logs, queries, execution plans, or regressions
- Curiosity and adaptability toward emerging AI capabilities in performance engineering
AI-First Mindset Requirement
This role requires embracing an AI-first approach to work, where GenAI and agentic AI tools are viewed as essential collaborators rather than optional supplements. We expect team members who naturally think in terms of AI-enhanced workflows, proactively seek opportunities to integrate intelligent automation, and demonstrate curiosity about leveraging AI to solve complex problems more efficiently.The ideal candidate approaches challenges by first considering: How can AI help me accomplish this faster and better while maintaining high standards for quality, security, and reliability. This mindset includes being comfortable with rapid AI tool evolution, eager to experiment with new AI capabilities, and committed to sharing AI-enhanced approaches with team members.
