Staff Software Engineer (Backend) at Varicent

Mexico

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 2025 Forrester Wave Report for SPM, 2023 Ventana Research Revenue Performance Management (RPM) Value Index, Gartner Peer Insights, 2024 Gartner SPM Market Guide, and G2. Our solutions are trusted by a diverse range of global 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 required) • Contributions to open source, technical blogs, or conference talks Education • Bachelor’s in Computer Science, Engineering, or related field (or equivalent practical experience) Varicent is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. If you require accommodation at any time during the recruitment process please email accomodations@varicent.com Varicent is also committed to compliance with all fair employment practices regarding citizenship and immigration status. By applying for a position at Varicent and/or by using this portal, you declare and confirm that you have read and agree to our Job Applicant Privacy Notice and that the information provided by you as part of your application is true and complete and includes no misrepresentation or material omission of fact