Varicent
Technology
StaffSoftwareEngineer–Backend(Python/Typescript/BigData/AWS/Kubernetes)
Neural analysis suggests this role is
optimal for Staff candidates.
“Staff Software Engineer – Backend (Python / Typescript / Big Data / AWS / Kubernetes) at Varicent. Skills: Backend Engineering, Data Engineering, Cloud Architecture, Distributed Systems. Design features for REST APIs. Build features for REST APIs”
What You'll Achieve.
Unlock untapped potential; Achieve revenue success; Maximize seller performance; Design go-to-market strategies; Unlock true potential of data; Extract insights faster; Automate repetitive tasks
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
7+ years backend engineering experience, 7+ years Python experience, 3+ years Typescript / Node.js experience, Advanced AWS experience, Production Kubernetes experience, Experience with large datasets, Experience with distributed computing, Experience with batch or stream processing, Solid understanding of system design, Solid understanding of distributed systems, Solid understanding of scalability patterns, Solid understanding of cloud architecture, Ability to collaborate, Ability to document solutions clearly, Ability to participate in technical discussions
Nice to Have
Spark experience a plus, Dask experience a plus, EMR experience a plus, Glue experience a plus, Kafka experience a plus
What You'll Do.
Design features for REST APIs
Build features for REST APIs
Scale features for REST APIs
Design large-scale data processing pipelines
Build large-scale data processing pipelines
Scale large-scale data processing pipelines
Handle high-volume datasets
Handle distributed systems
Architect backend services
Optimize backend services
Develop data-intensive applications
Develop event-driven applications
Process very large datasets
Transform very large datasets
Improve system performance
Improve system reliability
Improve system scalability
Partner with senior engineers
Partner with architects
Raise engineering quality standards
How You'll Work.
Team & Collaboration
Senior engineers; Architects; DevOps; QA; Cross-functional teams
Communication Scope
Technical discussions
Full Job Description
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! Our ELT (Extract, Load, Transform) application simplifies data workflows, enabling organizations to extract insights faster, automate repetitive tasks, and unlock the true potential of their data. We are looking for a Staff Software Engineer with deep experience designing and scaling large-scale, data-intensive systems. This role requires hands-on expertise working with massive datasets, distributed data pipelines, and high-throughput backend architectures. You will play a key role in driving our backend services, data platforms, and cloud-native systems forward. 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. Develop data-intensive and event
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