Senior Backend Engineer – FinOps, AI Cost Intelligence Platform

Job not on LinkedIn

🔥 12 hours ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Virtasant

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏢 Enterprise

🤝 B2B

Consulting • Enterprise • B2B

Virtasant is a cloud services and optimization company that helps businesses migrate to, manage, and build on public cloud platforms. They combine a proprietary automation platform with managed services and FinOps expertise to reduce cloud costs (claiming average savings of over 50%), support Cloud FinOps programs, and deliver outcome-based engagements rather than hourly or seat-based billing. Virtasant also provides enterprise AI guidance and partners with major cloud providers (AWS, Google Cloud, Azure) to deliver migration, optimization, and 24/7 managed operations.

📋 Description

• Design and build backend-heavy platform features for the FinOps and AI cost intelligence platform • Productionalise AI-enabled capabilities such as anomaly detection, recommendations, and agent-based workflows • Implement AI across prototyping, testing, iteration, and deployment • Design and build distributed data pipelines processing cloud billing, usage, and AI telemetry • Build reliable systems handling backfills, late-arriving data, and historical reprocessing • Design scalable data models and APIs powering customer-facing analytics and AI cost insights • Collaborate closely with Product to turn vision into shipped features • Identify blockers early, communicate clearly, and iterate quickly • Shape engineering standards and patterns as the product matures • Build AI features with evaluation criteria, feedback loops, and guardrails for accuracy, latency, cost, and explainability • Ship at least two production-ready features in the first 6–12 months • Establish repeatable AI engineering practices, including evaluation harnesses, rollout strategies, and rollback mechanisms

🎯 Requirements

• 8+ years of professional software engineering experience • Deep backend expertise in Python; Java or C++ as secondary languages • Experience building and operating data-intensive backend systems or pipelines in production • Strong understanding of data modelling, reliability, and data processing • Ability to design scalable systems and take them from concept through production • Experience with AI driven development to accelerate and drive product development • Hands-on experience building on AWS • Demonstrated experience using AI in real production systems, not just experimentation • Comfortable working in ambiguity with product-led direction • Ability to architect backend services supporting asynchronous workflows, event-driven pipelines, and AI agents • Comfort articulating AI trade-offs around latency, explainability, data availability, and long-term maintainability • Ability to tell a compelling story about a product journey and explain decisions and trade-offs • Ability to clearly articulate technical roadblocks and collaborate on solutions • Ability to thrive in a fast-paced, high-ownership environment

🏖️ Benefits

• Fully remote work • High ownership, high trust environment • Opportunity to own and shape technical delivery at scale • Work closely with experienced engineering and delivery teams • Exposure to broader cloud optimisation and consulting initiatives over time • Near-founding-engineer level autonomy and influence • Direct impact on product direction and commercial outcomes • Opportunity to help shape a platform with standalone, licensable AI capabilities