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Agiloft logo
Agiloft

The global standard in no-code contract lifecycle management (CLM) software.

Director, Platform – Performance Engineering

Software EngineerSoftware EngineerFull TimeRemoteLeadTeam 201-500Since 1991H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

71 days ago

Salary

0

Seniority

Lead

Job Description

Director, Platform – Performance Engineering

Agiloft

• Build and lead a high-performing Core Platform Engineering team that: • Rapidly improves scalability, reliability, and observability of the core backend platform • Establishes systematic load testing, regression detection, and performance benchmarking practices • Drives measurable reductions in latency, error rates, and infrastructure cost per transaction • Leverages modern tooling, including AI-assisted analysis, to accelerate bottleneck identification and remediation • Partners closely with application engineering and Cloud Operations to ensure platform stability under real-world production load • Own and drive the performance, scalability, and reliability roadmap for the backend platform in close partnership with the CTO and engineering leaders, ensuring the platform scales with aggressive product and customer growth. • Prioritize performance and stability investments while balancing near-term delivery commitments. • Establish practical performance engineering practices, including load testing, benchmarking, and regression detection. • Proactively identify and eliminate performance bottlenecks to ensure fast, responsive user experiences at scale. • Design and execute realistic production-scale load testing scenarios that mirror customer behavior. • Establish performance regression gates in CI/CD pipelines. • Drive systematic root-cause analysis of production performance incidents. • Quantify and publish performance baselines and improvement targets. • Establish performance baselines and drive measurable improvements in throughput, latency, and resource efficiency. • Drive excellence in relational database architecture across MySQL and PostgreSQL environments in AWS (RDS/Aurora). • Lead database optimization strategies, indexing improvements, and schema evolution practices. • Partner with Cloud Operations to align infrastructure and data-layer scaling strategies. • Improve transactional integrity, concurrency handling, and data reliability at scale. • Lead query optimization initiatives based on real production workload analysis. • Identify and resolve lock contention, connection pool saturation, and concurrency bottlenecks. • Strengthen metrics instrumentation, structured logging and tracing across backend services. • Partner with SRE and Cloud Operations to enhance diagnostic capabilities and operational transparency. • Define measurable performance and reliability KPIs. • Engage directly in cross-team architectural design reviews, complex system decisions, and strategic refactoring initiatives. • Provide technical mentorship and elevate backend engineering standards. • Recruit and develop a team of strong backend, database, and platform engineers.

Job Requirements

  • 12+ years of backend engineering experience, including senior technical leadership roles.
  • Deep hands-on expertise with Java (JEE, Spring, or comparable enterprise frameworks).
  • Strong proficiency in Python for tooling, automation, or services development.
  • Strong understanding of distributed systems, concurrency, and scalable SaaS architectures
  • Experience designing and implementing load tests.
  • Experience using performance, observability, and scalability testing tools (Grafana, Jmeter, query EXPLAIN/ANALYZE, OpenTelemetry).
  • Strong expertise in performance optimization of relational database access patterns, including MySQL and PostgreSQL.
  • Experience evolving large-scale applications toward modular or microservices-based architectures.
  • Familiarity with containerization technologies (Docker, Kubernetes).
  • Experience using modern engineering tools, including AI-assisted development tools, to improve productivity and code quality.
  • Ability to apply AI tools pragmatically while maintaining architectural integrity and engineering standards.
  • Demonstrated ability to collaborate effectively across engineering, infrastructure, and product organizations.

Benefits

  • Medical, dental, and vision insurance
  • Short term and long-term disability
  • Life insurance and AD&D
  • Supplemental life insurance (Employee/Spouse/Child)
  • Health care and dependent care Flexible Spending Accounts
  • 401(k) with company match
  • Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position.
  • Paid parental leave
  • Voluntary benefits including pet insurance

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