Staff Backend/Product Engineer

Virtasant; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Virtasant is a global technology services company delivering outcomes through automation, including software engineering, cloud migration, and AI-enabled analytics. We are seeking a senior backend-focused engineer to design and scale backend features and data pipelines that power customer analytics and AI cost insights.

The role emphasizes production-grade systems with Python, AWS, and distributed data processing, plus opportunities to advance AI workflows with measurable evaluation and

Qualifications

• 8+ years of professional software engineering experience with deep backend expertise in Python.
• Experience building and operating data-intensive backend systems or pipelines in production.
• Hands-on experience building on AWS and using AI in real production systems.

Responsibilities

• Design and build backend-heavy platform features and distributed data pipelines.
• Productionalise AI-enabled capabilities such as anomaly detection and agent-based workflows.
• Build reliable systems that handle backfills, late-arriving data, and historical reprocessing.
• Design scalable data models and APIs that power customer-facing analytics and AI cost insights.
• Implement AI features with explicit evaluation criteria, feedback loops, and guardrails.

Skills

Python

Backend

Distributed systems

Data pipelines

AWS

AI integration

Production experience

Tools

AWS

Java

C++

Big Data

Job description

About the Company

Virtasant is a global technology services company that delivers outcomes through automation. Our services include software engineering, technology operations, cloud migration, application modernization, and cloud optimization.

Responsibilities

• Design and build backend-heavy platform features and distributed data pipelines
• Productionalise AI-enabled capabilities such as anomaly detection and agent-based workflows
• Build reliable systems that handle backfills, late-arriving data, and historical reprocessing
• Design scalable data models and APIs that power customer-facing analytics and AI cost insights
• Implement AI features with explicit evaluation criteria, feedback loops, and guardrails

Requirements

• 8+ years of professional software engineering experience with deep backend expertise in Python
• Experience building and operating data-intensive backend systems or pipelines in production
• Hands-on experience building on AWS and using AI in real production systems

Preferred Qualifications

• Proficiency in Java or C++ as secondary languages
• Experience architecting backend services for asynchronous workflows and event-driven pipelines
• Ability to articulate technical trade-offs regarding AI latency, explainability, and maintainability