AI-driven software engineering and process automation for enterprise clients
CoreTek Labs is a software engineering partner built around Azure cloud infrastructure and AI capabilities, with a stack spanning Azure compute (Kubernetes, Functions, API Management), data platforms (Snowflake), and enterprise systems (SAP S/4HANA, COBOL/DB2 modernization). Current hiring is heavily weighted toward senior and lead engineers (8 of 11 roles), with active focus on enterprise-scale cloud architecture, supplier governance automation, and end-to-end workflow optimization—reflecting a shift from general software services toward AI-augmented automation and risk-management platforms.
CoreTek Labs, founded in 2021 and based in Bellevue, Washington, serves mid-market and enterprise organizations seeking AI-integrated software solutions and process optimization. The company operates across three primary areas: cloud architecture and infrastructure (Azure-native design), process automation and business process automation (workflow design, supplier onboarding, governance), and team augmentation for client engineering teams. Technical depth spans modern cloud and AI stacks (Python, FastAPI, Streamflake) alongside legacy system integration (SAP, COBOL, DB2), positioning the firm as a modernization and transformation partner. Active pain points—supplier onboarding friction, manual governance workflows, data integration stability—drive their product roadmap.
Primary stack: Azure (Kubernetes, Functions, API Management, Data Factory), Snowflake, Python, FastAPI, React, and Streamlit. Also maintains SAP S/4HANA, COBOL, DB2, and legacy system integration capabilities. DevOps tooling includes Docker, Azure DevOps, and Jira.
Active projects: enterprise-scale cloud architecture on Azure, AI-driven optimization platforms, business process automation (supplier governance, risk assessment, workflow design), and third-party risk management (TPRM) platform implementation.
CoreTek Labs's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.