Staff Software Engineer – Backend (Python / Typescript / Big Data / AWS / Kubernetes)
About The Position
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. 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.
Requirements
- 7+ years of backend or full-stack engineering experience with a strong backend focus.
- 7+ years of hands-on Python experience (APIs, automation, large-scale data pipelines).
- 3+ years working with Typescript / Node.js.
- Advanced experience with AWS (EC2, EKS, Lambda, S3, DynamoDB, RDS, Step Functions, etc.).
- Strong practical experience deploying and optimizing production workloads on Kubernetes.
- 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.
- Ability to collaborate, document solutions clearly, and participate in technical discussions with stakeholders.
Responsibilities
- 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-driven applications using Python, Typescript, Spark, and AWS-native services.
- Work with Spark, EMR, Glue, Kafka, or similar frameworks to process and transform very large datasets.
- 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.
- Automate deployments and CI/CD using Terraform, Serverless Framework, and Kubernetes-based workflows.
Benefits
- variable compensation program
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
