Jobs at Virtasant

Design and build scalable data platform services, automation, and integrations. Improve pipeline reliability, observability, schema governance, and developer self-service. Collaborate with data engineering, analytics, and DevOps to deliver APIs, tooling, and production-grade data pipelines.

Own the DevOps incoming queue: review and apply Terraform PRs (via Atlantis), handle infrastructure change requests, remediate non-production issues, debug CI/CD and container deployments, triage Datadog alerts, support common AWS tasks (S3, ECS, IAM, VPC, secrets), participate in scrum, and document fixes/runbooks.

Conduct technical interviews for pre-screened candidates, develop role-specific questions and challenges, collaborate with recruiters and clients on job requirements, lead technical conversations, and research appropriate assessments for cloud and software roles.

Build and productionize backend-first AI capabilities for a FinOps intelligence platform: design backend services, implement AI features (anomaly detection, recommendations, agents), create evaluation/rollback/monitoring systems, and collaborate with product to ship reliable, cost-efficient, production-ready features.

Lead and execute Virtasant's EMEA sales strategy to win and grow enterprise and mid-market accounts, expand customer relationships via upsell/cross-sell, manage pipeline and forecasting, partner with marketing and delivery, represent the company externally, and consistently exceed revenue targets.

Lead delivery and growth for strategic enterprise accounts: own execution, build C-level relationships, unblock teams, manage account operations (SOWs, forecasting, invoicing, staffing), coach delivery teams, and expand footprint by delivering measurable outcomes.

Lead strategic client relationships and global delivery for a portfolio of enterprise accounts. Own account strategy, expansion, commercial outcomes (SOWs, forecasting, margin), team orchestration, and delivery excellence for AI, cloud, and modernization initiatives.

Design, build, and operate cloud-based backend services and APIs (Node/TypeScript, Deno, Supabase) for IoT telemetry and integrations. Own projects end-to-end, implement microservice architectures, data pipelines with Postgres, CI/CD, monitoring/observability, and feature-flagged deployments. Mentor team members and ensure secure, well-tested, highly performant systems.

Lead capacity management and large-scale infrastructure programs: own forecasting and operational processes, drive cross-functional execution, partner with engineering and client stakeholders, identify risks, and deliver measurable operational improvements.

Client-facing senior solutions architect role designing multi-cloud (AWS/Azure/GCP) architectures, leading cloud modernization and cost-optimization (FinOps) engagements, and guiding AI adoption. Responsibilities include discovery workshops, architecture assessments, governance design, Kubernetes production guidance, mentoring teams, and delivering measurable cloud cost savings using tools like Helias.

Lead enterprise FinOps and cloud cost optimization programs: identify waste, design governance, analyze usage data, recommend and implement optimizations, build analytics/reporting, advise stakeholders, mentor teams, and drive measurable cost reductions.

Design, build, and maintain scalable, reliable infrastructure; implement IaC and automation; monitor and respond to incidents; lead post-incident reviews; collaborate across teams and mentor junior engineers to improve platform reliability and performance.