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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

Canada

Posted

72 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 • 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. • Partner with Cloud Operations to right-size database infrastructure based on performance data. • 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. • Ensure comprehensive instrumentation across critical backend paths. • Correlate load testing results with runtime metrics and tracing data. • Improve mean time to detect (MTTD) and mean time to resolve (MTTR) for performance incidents. • Engage directly in cross-team architectural design reviews, complex system decisions, and strategic refactoring initiatives. • Provide technical mentorship and elevate backend engineering standards. • Balance strategic direction-setting with practical, hands-on execution where needed. • Serve as a senior escalation point for complex backend performance or architectural challenges. • Clarify backend platform ownership boundaries in partnership with Product Engineering and Cloud Operations. • Recruit and develop a team of strong backend, database, and platform engineers. • Set clear expectations for engineering rigor, delivery accountability, and code quality. • Foster a culture of accountability, speed, craftsmanship, and continuous improvement. • Partner effectively with Product Engineering and Cloud Operations to ensure cohesive platform evolution. • Build a strong team capable of independently owning critical platform domains. • Influence engineering standards and platform practices across multiple application teams through collaboration and technical leadership.

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

  • floating holidays
  • quarterly, no-questions-asked wellness day

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