Varicent

Varicent

Varicent provides industry-leading incentive compensation and sales performance management solutions to help businesses increase sales efficiency and effectiveness.

Professional Services
251-1K
Founded 2003
$35M raised

Description

  • Lead the design and delivery of critical product components for a core product area.
  • Own critical components end-to-end and drive improvements in system quality, scalability, and reliability.
  • Design, build, and scale REST APIs and large-scale data processing pipelines for high-volume datasets.
  • Architect and optimize backend services for high-throughput, low-latency performance.
  • Develop data-intensive and event-driven applications using Python, Typescript, C#, and AWS-native services.
  • Improve performance, reliability, and scalability across microservices and cloud infrastructure.
  • Partner with senior engineers, architects, DevOps, and QA throughout the full development lifecycle.
  • Mentor developers, conduct code reviews, and raise engineering quality standards.
  • Evaluate new technologies, tools, and approaches and recommend solutions based on trade-offs, impact, and ROI.
  • Drive technical alignment across teams and help improve engineering standards and processes.

Requirements

  • 6+ years of backend or full-stack engineering experience with a strong backend focus.
  • 3+ years of experience with Typescript, Node.js, or C#.
  • Advanced experience with AWS services such as EC2, EKS, Lambda, S3, DynamoDB, RDS, and Step Functions.
  • Proven experience working with large datasets, distributed computing, and batch or stream processing using tools such as Spark, Dask, EMR, Glue, or Kafka.
  • Strong system design skills and understanding of distributed systems, scalability patterns, and cloud architecture.
  • Ability to break down ambiguous problems into scalable technical solutions.
  • Experience building secure, reliable, and compliant systems by design.
  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • Experience building data-driven or ML-enabled systems is preferred.
  • Familiarity with experimentation frameworks, A/B testing, or performance optimization is preferred.
  • Experience with event-driven architectures, streaming systems, or large-scale data processing is preferred.
  • Exposure to modern AI tools or integrations is a plus.
  • Contributions to open source, technical blogs, or conference talks are a plus.

Benefits

  • Estimated annual base salary range of MXN $990,600 to $1,300,000.
  • Bonus and commission opportunities for eligible sales roles.
  • Comprehensive medical, dental, and vision coverage tailored to local needs.
  • PTO and public holidays.
  • Dedicated volunteer days.
  • Dedicated learning days for continuous growth and professional development.
  • Tuition assistance for continuing education.
  • Remote and hybrid work options across most regions.

Interested in this position?

Apply directly on the company website

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