At Varicent, we're not just transforming the Sales Performance Management (SPM) market—we're redefining how organizations achieve revenue success. Our cutting-edge SaaS solutions empower revenue leaders globally to design smarter go-to-market strategies, maximize seller performance, and unlock untapped potential. Varicent stands at the forefront of innovation, celebrated as a market leader in the
** Forrester Wave Report for SPM
,
Ventana Research Revenue Performance Management (RPM) Value Index
,
Gartner Peer Insights
,
** Gartner SPM Market Guide
, and
G2.
Our solutions are trusted by a diverse range of general industry leaders like T-Mobile, ServiceNow, Wawanesa Bank, Shaw Industries, Moody's, Stryker and hundreds more. Here's why you'll thrive at Varicent:
Innovate with Purpose: Build impactful solutions for customers worldwide.
Join Excellence: Work in a diverse, collaborative, and innovative team.
Shape the Future: Lead in redefining revenue optimization.
Grow Together: Unlock your potential in a supportive environment.
Join us at Varicent—where your talent and ambition meet limitless opportunities for success
Job Description
We're building scalable, data-driven product systems and looking for a Lead Software Developer with strong engineering skills and a track record of designing and delivering complex, production-grade systems. You'll lead the design and delivery of critical product components, collaborate closely with technical leads and senior stakeholders, and play a key role in driving technical quality, scalability, and engineering standards across a core product area.
Overview
• Own critical components end-to-end and deliver measurable improvements in system quality, scalability, and reliability. You operate independently,



drive design decisions, and elevate engineering standards through technical leadership and mentorship.
What you'll do
• Own delivery for significant features or systems: clarify requirements, design solutions, execute, ship, and iterate.
• Design and build scalable backend services, APIs, and data pipelines that support core product functionality.
• Drive system design decisions, balancing scalability, performance, reliability, and cost.
• Define how quality is measured for your area (success metrics, testing strategy, observability) and automate it wherever possible.
• Lead structured experimentation: define hypotheses, evaluate results, and translate insights into product and system improvements.
• Improve operational readiness: 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.
Engineering Expectations
• Strong system design skills with the ability to break down ambiguous problems into scalable technical solutions.
• Ability to evaluate new technologies, tools, and approaches, and recommend solutions based on trade-offs, impact, and ROI.
• Builds systems that are secure, reliable, and compliant by design,



partnering with cross-functional teams when needed.
• Drives technical alignment across teams and contributes to improving engineering standards and processes.
How we work
• We balance exploration with delivery — test ideas quickly, then productionize what works.
• "Done" means quality goals are met, followed by continuous improvement in scalability, performance, and reliability.
• The team owns systems end-to-end (build, release, reliability).
Years of experience
• Overall: 6+ years in software engineering
• Relevant: 3+ years building and shipping production systems in product teams
• Technical (hands-on coding): 5+ years
Required skills & knowledge
• Strong software engineering fundamentals and advanced system design experience
• Hands-on coding in Python and/or TypeScript (or similar), building APIs, services, and data pipelines
• Experience designing and scaling distributed systems in production environments
• Strong experience with cloud platforms (AWS, GCP, or Azure), CI/CD, automated testing, and observability
• Proven ability to own systems end-to-end, from design through production and iteration
• Experience working in fast-paced, ambiguous environments with evolving requirements
• Strong experimentation mindset: define metrics, build evaluation approaches, and iterate quickly
Desired (nice to have)
• Experience building data-driven or ML-enabled systems
• Familiarity with experimentation frameworks, A/B testing, or performance optimization
• Experience with event-driven architectures, streaming systems, or large-scale data processing
• Exposure to modern AI tools or integrations (not requir

📌 Lead Software Engineer (México)
🏢 Varicent
📍 México