About the Client : Our client is a leading networking and mobile broadband solutions provider. They are also providing analytical solutions.
Job Description : We are looking for Lead Architect for our client's Digital Insights Portfolio Segment in Global Service Delivery (GSD), who will be responsible for customized solutions design & development for Telecom analytical products.
Responsibilities :
- Provides senior-level technical solutions, having expertise in one or more areas; acts as a source of expertise for colleagues.
- Designs and leads the identification and specification of complex business solutions in a complex customer environment. Organises and runs workshops with key customers as part of marketing initiatives.
- Candidate will be responsible for managing a team for one of Solution Area and bring thought leadership in customer engagement. The candidate will be responsible for competency development across Analytics Solutions Stream, financial/KPI tracking and adhering.
- Manages client engagements with solution capabilities from multiple sources and technologies.
Requirements :
- Engage closely with a customer to design & develop solutions to fulfill customer's needs by understanding the customer's challenges and architectures and turning that into a customer solution.
- Acts as a primary technical interface to the customer ensuring good customer satisfaction and developing the customer relationship.
- Develop detailed customer solution design & architecture and perform technical risk evaluation for overall technical solution.
- Present offered solution design/architecture to customers and verify/adapt it during the realization phase.
- Strong in Software Design following Design Patterns, Software Design following Cloud Native Principles.
- Expertise in Object-Oriented Programming, worked in either Core Java, J2EE Framework technologies
- Cloud Technologies like Kubernetes, Docker, AWS, Microservice development
- Hands-on experience of developing software services in scalable and distributed environments in AWS or Azure
- Containerization and orchestration with Docker, Kubernetes, Helmchart, Keycloak, Kibana/Grafana, Prometheus.
- Good hands-on experience in Big Data Technologies - Hadoop/Kafka/Hive/Spark/PySpark
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