AI-native engineering and cloud services for enterprise transformation
Agivant is a 51–200-person engineering services firm in Silicon Valley positioned around AI-first delivery and automation-heavy project execution. The tech stack spans infrastructure-as-code (Terraform, Pulumi, Kubernetes, Ansible), ML frameworks (TensorFlow, PyTorch, LangChain, LlamaIndex), and cloud platforms (AWS, Azure, GCP) — a pattern reflecting both deep DevOps maturity and active ML ops capability. The hiring profile is engineering-dominant (31 of 49 open roles), skewed toward senior and principal engineers, with concurrent adoption of data warehouses (BigQuery, Redshift, Snowflake) and load-testing tools (JMeter, Gatling), signaling heavy investment in data platform and performance optimization work alongside traditional cloud migration.
Notable leadership hires: Engineering Director
Agivant provides AI-first digital engineering and cloud transformation services to mid-market and enterprise clients. The company specializes in data modernization, Kubernetes-native infrastructure, microservices migration, and ML operations — with active projects spanning custom operator development, CI/CD pipeline design, and cloud-native data platform implementation. Hiring is concentrated in India, with a senior-weighted team structure and steady velocity. The firm operates across AWS, Azure, and GCP, integrating automation frameworks (Ansible, GitHub Actions, Argo CD) with ML-focused tooling to support client infrastructure scaling and legacy system decomposition.
Agivant uses Terraform, Kubernetes, Python, GitHub Actions, AWS/Azure/GCP, Docker, Prometheus/Grafana for infrastructure; TensorFlow, PyTorch, LangChain, LlamaIndex for ML; and is adopting BigQuery, Snowflake, Redshift, and Databricks for data platforms.
Active projects include data platform modernization, Kubernetes operator development, microservices migration from legacy monoliths, CI/CD pipeline design, and cloud-native infrastructure provisioning across AWS, Azure, and GCP.
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