OP Tech Stack

Technology consulting and managed services for AI, cloud, and enterprise platforms

IT Services and IT Consulting Irvine, California 201–500 employees Founded 2006 Privately Held

OP is a 201–500-person consulting firm founded in 2006, now doubling down on SAP modernization and real-time data infrastructure. The tech stack reflects a services-led business: heavy on data pipelines (NiFi, Kafka, Spark, Flink, ClickHouse, Trino), frontend frameworks (React, Vue, Angular, Next.js), and enterprise platforms (Oracle, NetSuite, Dynamics 365, Workday, Oracle Fusion). The hiring surge is engineering-dominated (19 of 25 open roles), tilted toward senior and mid-level engineers, signaling aggressive scaling of delivery capacity. Migration from SAP ECC to S/4HANA and adoption of SAP S/4HANA in active projects suggests OP is itself moving upmarket into larger enterprise transformations.

Tech Stack 200 technologies

Core StackApache NiFi React Angular Vue TypeScript Node.js GraphQL PostgreSQL Next.js Tailwind CSS React Native Oracle NetSuite Dynamics 365 Workday Terraform CloudFormation Apache Spark Apache Flink Apache Kafka Trino ClickHouse Python Java Scala Kepware Canvas WebGL Three.js Oracle Fusion+170 more

AdoptingSAP S/4HANA

ReplacingSAP ECC

What OP Is Building

◆Challenges

Improving legacy sap implementations
Expanding sap landscape
Scaling high-volume financial operations
Testing complex data pipelines
Ensuring platform reliability
Integrating third-party payment processors
Automating manual reconciliation
Integrating sales inventory data
Migrating from sap ecc to s/4hana
Cross-domain integration challenges

▲Active Projects

Real-time analytics data pipelines
Reverse-engineering legacy sap implementations
Implementing hybrid cloud sap solutions
Designing multi-tier sap integration architecture
Interactive dashboard for industrial data visualization
Backend services for gameplay and payments
Payments/wallet platform
Compliance/security platform
Player account platform
Sap s/4hana implementation

Hiring Activity

Accelerating25 roles · 25 in 30d

Department

Engineering

Data

Finance

Product

Seniority

Senior

Mid

Lead

Staff

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About OP

OP delivers advisory, managed services, and staffing solutions for enterprise technology transformation. The practice spans AI/ML, cybersecurity, cloud architecture, data governance, and enterprise systems—with a visible pivot toward SAP modernization and hybrid cloud integration. Project work ranges from real-time analytics pipelines and legacy system reverse-engineering to full S/4HANA implementations and multi-tier integration architectures. The company also ships internal platforms: payment and wallet systems, compliance/security tooling, and player account management, indicating some product-as-a-service or embedded IP offerings alongside billable services. OP operates across the United States, India, and Mexico.

HeadquartersIrvine, California

Company Size201–500 employees

Founded2006

Hiring MarketsUnited States, India, Mexico

Frequently Asked Questions

What tech stack does OP use?

OP's stack spans data pipelines (Apache NiFi, Kafka, Spark, Flink, Trino, ClickHouse), frontend (React, Vue, Angular, Next.js, Tailwind CSS), backend (Node.js, Python, Java, Scala, GraphQL), enterprise platforms (Oracle, NetSuite, Dynamics 365, Workday), and infrastructure (Terraform, CloudFormation).

What is OP working on?

OP's active projects include SAP S/4HANA implementations, real-time analytics data pipelines, hybrid cloud SAP solutions, legacy SAP reverse-engineering, payment platforms, and compliance/security tooling. The company is migrating clients from SAP ECC to S/4HANA while building internal platforms for payments, accounts, and risk management.

How this profile is built

OP'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.