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Lead Software Engineer (Backend)

3 weeks, 3 days ago
Mexico
Full-time
Lead
Software Engineer
Software Development
AWS Azure CI/CD GCP Machine Learning Microservices Python System Design TypeScript
Apply Now
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
View All Jobs 71

Description

  • Own delivery for significant features or systems from requirements clarification through design, implementation, shipping, and iteration.
  • Design and build scalable backend services, APIs, and data pipelines that support core product functionality.
  • Lead system design decisions, balancing scalability, performance, reliability, and cost.
  • Define quality measures for the team’s area, including success metrics, testing strategy, and observability.
  • Lead structured experimentation by defining hypotheses, evaluating results, and turning insights into product and system improvements.
  • Improve operational readiness through deployment automation, monitoring, alerting, incident response, and performance optimization.
  • Mentor engineers through design reviews, code reviews, and hands-on technical guidance.
  • Influence engineering best practices, architecture decisions, and long-term technical direction.
  • Drive technical alignment across teams and contribute to improving engineering standards and processes.

Requirements

  • 6+ years of overall software engineering experience.
  • 3+ years of experience building and shipping production systems in product teams.
  • 5+ years of hands-on coding experience.
  • Strong software engineering fundamentals and advanced system design experience.
  • Hands-on coding experience in Python and/or TypeScript, or similar languages.
  • Experience designing and scaling distributed systems in production environments.
  • Strong experience with cloud platforms such as AWS, GCP, or Azure.
  • Experience with CI/CD, automated testing, and observability.
  • Ability to work in fast-paced, ambiguous environments with evolving requirements.
  • 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.

Interested in this position?

Apply directly on the company website

Apply Now

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