Solution Architect — Payments & ELK Stack

Wipro; Quincy (MA); Vor Ort; USD 80.000 - 158.000; Vollzeit

Zusammenfassung

Wipro is seeking a Solution/Technical Architect in the United States to design a transaction lifecycle tracking platform using Elasticsearch and the ELK stack. You will lead architecture decisions, mentor developers, and collaborate with engineering teams to deliver scalable solutions for real-time monitoring and SLA management.

The role requires hands-on experience with Java or Python, big data ingestion pipelines, and API/Kafka integrations across heterogeneous systems.

Qualifikationen

• Deep hands-on expertise with Elasticsearch and ELK Stack, including cluster sizing and indexing strategies.
• Experience building high-volume event tracking or transaction lifecycle systems.
• Strong architecture skills in distributed, microservices-based systems.
• Hands-on development experience in Java, Python, or similar technologies.
• Experience with relational and NoSQL databases.
• Experience integrating APIs, Kafka, MQ, and heterogeneous source systems.

Aufgaben

• Design and build a transaction lifecycle tracking platform from the ground up.
• Architect solutions using the Elastic Stack, including data modeling and ingestion pipelines.
• Develop real-time dashboards and visualizations for transaction monitoring and SLA management.
• Define standard APIs, integration patterns, and reusable onboarding frameworks.
• Design workflow and exception-handling capabilities with automated alerts.
• Ensure scalability, high availability, performance, and data retention compliance.
• Lead architecture decisions, collaborate with engineering teams, and mentor developers.

Kenntnisse

Elasticsearch/ELK stack

Event-driven architecture

Distributed systems

Java/Python development

Relational/NoSQL databases

API/Kafka/MQ integration

Jobbeschreibung

Wipro is seeking a Solution/Technical Architect in the United States to design a transaction lifecycle tracking platform using Elasticsearch and the ELK stack. You will lead architecture decisions, mentor developers, and collaborate with engineering teams to deliver scalable solutions for real-time monitoring and SLA management.

The role requires hands-on experience with Java or Python, big data ingestion pipelines, and API/Kafka integrations across heterogeneous systems.