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 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.
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- Join Excellence: Work in a diverse, collaborative, and innovative team.
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- Shape the Future: Lead in redefining revenue optimization.
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- Grow Together: Unlock your potential in a supportive environment.
Join us at Varicent—where your talent and ambition meet limitless opportunities for success!
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 :
- Design, build, and scale new features for REST APIs and large-scale data processing pipelines that handle high-volume datasets across distributed systems.
- Architect and optimize backend services for high throughput and low-latency performance.
- Improve system performance, reliability, and scalability across microservices and cloud infrastructure.
- Partner with senior engineers, architects, DevOps, and QA throughout the full development lifecycle.
- Mentor developers, guide code reviews, and raise engineering quality standards.
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).
Required skills & knowledge :
- 6+ years of backend or full-stack engineering experience with a strong backend focus.
- 3+ years working with Typescript / Node.js / C#.
- Advanced experience with AWS (EC2, EKS, Lambda, S3, DynamoDB, RDS, Step Functions, etc.).
- Proven experience working with large datasets , distributed computing, and batch or stream processing using Spark, Dask, EMR, Glue, Kafka, etc.
- Solid understanding of system design, distributed systems, scalability patterns, and cloud architecture.
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)
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