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ESTECO North America is seeking a highly skilled and customer-oriented Senior Solutions Engineer to support our enterprise digital engineering and simulation process and data management software platform. The ideal candidate will act as a trusted technical advisor for our customers, helping them integrate, optimize, and troubleshoot our cloud-based solution as well as on-premise web applications deployed on customer sites. This is a customer-facing role, requiring strong communication skills and hands-on experience with cloud infrastructure and services, familiarity with Java-based applications (including frameworks such as Quarkus), and enterprise database systems like MariaDB, SQL Server, and Oracle.
Job Responsibility:
Serve as the technical point of contact for enterprise customers pre and post-sale, ensuring successful onboarding, configuration, and adoption of our software platform VOLTA
Guide customers through complex integrations, performance tuning, security configurations, and system customizations based on their cloud infrastructure and on-premise environments, particularly Java-based deployments and relational databases
Troubleshoot and resolve technical issues across microservices, APIs, cloud resources and Java based applications
Collaborate with internal product and engineering teams to escalate and track customer issues and feature requests
Deliver product walkthroughs, solution architecture consultations, and documentation tailored to customer use cases
Assist in creating and maintaining support playbooks, solution guides, and architecture diagrams
Stay updated on AWS services, certifications, and trends relevant to enterprise software delivery
Requirements:
Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent experience)
AWS Certified (Solutions Architect Associate or Professional preferred)
5-7 years in a customer-facing technical role in enterprise software
Experience with microservices architecture, RESTful APIs, and containerized deployments (Docker, Kubernetes)
Proficient in AWS services such as EC2, ECS/EKS, RDS, Lambda, CloudWatch, IAM, and networking/VPC configurations
Skilled in designing and managing persistent storage for Kubernetes workloads using cloud-native block and file storage solutions (e.g., EBS, EFS, CSI drivers), enabling scalable, high-throughput data pipelines in distributed microservice architectures
Solid scripting or coding skills in Python, Bash, Terraform/Cloud Formation or similar technologies for automation and troubleshooting
Excellent communication, presentation, and interpersonal skills
Nice to have:
Basic familiarity with Microsoft Azure, GCP cloud concepts and services is a plus
Experience with Java application debugging and performance analysis is highly desirable
A working knowledge of Microsoft Azure & GCP services and environment fundamentals is also preferred