Big data analytics and AI engineering on AWS, Azure, and GCP
Objectways is a 1,000+ person analytics and cloud engineering shop founded in 2018, headquartered in Scottsdale. The stack reveals a data-forward practice: Kafka, BigQuery, Terraform, and LangChain sit alongside contact-center tooling (AWS Connect, Five9, Dialogflow CX), suggesting dual revenue streams in analytics modernization and customer-engagement platforms. Active hiring across engineering, data, and research—with senior roles and internship capacity—signals both depth and scaling; pain-point data surfaces AWS security hardening and legacy contact-center migration as immediate customer friction.
Objectways provides cloud architecture and data engineering services for enterprise customers building analytics platforms and AI solutions. The company operates across three main practice areas: big-data modernization on cloud platforms (AWS, Azure, GCP), machine learning and AI systems, and IoT/edge analytics. They also deliver contact-center-as-a-service implementations and migrations, particularly on AWS Connect and GCP. The engagement model runs from discovery through production deployment with dedicated account management. The team emphasizes infrastructure-as-code automation (Terraform, CloudFormation), immutable architecture, and warranty-backed delivery.
Primary stack: AWS, Terraform, CloudFormation, Python, Go, Kafka, BigQuery, Docker, Kubernetes. Also uses Azure, GCP, GitHub Actions, Jenkins, LangChain, LlamaIndex, and contact-center tools (AWS Connect, Five9, Dialogflow CX).
Scottsdale, Arizona. The company was founded in 2018 and is privately held with 1,001–5,000 employees.
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