Agiloft

Agiloft

Agiloft is a global leader in Contract Lifecycle Management (CLM) software, automating processes, reducing risk, and driving revenue for over 3 million users worldwide.

Capital Markets
51-250
Founded 1990
$45M raised

Description

  • Own and drive the backend platform performance, scalability, and reliability roadmap in partnership with the CTO and engineering leaders.
  • Build and lead a high-performing core platform engineering team focused on backend services and data services.
  • Establish load testing, benchmarking, regression detection, and performance baseline practices.
  • Design and execute production-scale load tests that mirror customer behavior.
  • Identify and remove performance bottlenecks, reduce latency, and improve throughput and resource efficiency.
  • Lead root-cause analysis of production performance incidents and improve MTTD and MTTR.
  • Drive database optimization across MySQL and PostgreSQL environments in AWS, including indexing, schema evolution, and query tuning.
  • Strengthen observability through metrics instrumentation, structured logging, and tracing across backend services.
  • Partner with application engineering, Cloud Operations, and SRE to improve platform stability and scaling.
  • Recruit, mentor, and develop backend, database, and platform engineers while setting standards for accountability and code quality.

Requirements

  • 12+ years of backend engineering experience, including senior technical leadership roles.
  • Deep hands-on expertise with Java, including 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 and observability tools such as Grafana, JMeter, EXPLAIN/ANALYZE, and OpenTelemetry.
  • Strong expertise in relational database performance optimization across MySQL and PostgreSQL.
  • Experience evolving large-scale applications toward modular or microservices-based architectures.
  • Familiarity with Docker and Kubernetes.
  • Experience using AI-assisted development tools pragmatically while maintaining architectural integrity and engineering standards.
  • Demonstrated ability to collaborate effectively across engineering, infrastructure, and product organizations.
  • Preferred: experience supporting enterprise SaaS platforms at significant scale.
  • Preferred: familiarity with performance tuning and profiling tools.
  • Preferred: experience implementing distributed tracing frameworks.
  • Preferred: experience partnering closely with infrastructure and SRE teams in AWS environments.
  • Preferred: background in enterprise workflow or data-intensive platforms.
  • Preferred: experience designing reusable platform services or shared data infrastructure in a growing SaaS environment.

Benefits

  • Remote full-time work arrangement.
  • Healthy work/life balance support, including floating holidays.
  • Quarterly wellness day with no questions asked.
  • Multiple Employee Resource Groups (ERGs).
  • Inclusive workplace committed to acceptance and belonging.
  • Accommodation support during the recruiting process.
  • Applications reviewed as submitted with no application deadline.

Interested in this position?

Apply directly on the company website

Apply Now

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