Senior Technical Consultant

What You’ll Do

• Implement Scalable Platform Architecture: Build and maintain standards and tools to ensure high performance and resilience with a focus on reusability, schema design, data modeling, query performance, and responsive UX/UI best practices.
• Engineered Integrations: Perform hands-on design, code implementation, and unit testing using SQL views, stored procedures, and high-concurrency REST/SOAP web services/APIs.
• System-Level Troubleshooting: Rapidly diagnose performance bottlenecks, memory usage, CPU constraints, and network latency spikes across the web application stack.
• Performance Profiling & Analysis: Analyze database execution plans, system logs, and Locust load test outputs to isolate and resolve root-cause performance bottlenecks.
• Technical Quality & Enablement: Ensure continuous integration and delivery alignment by applying strong DevSecOps practices, robust automated testing, and clean coding standards.

Required Qualifications

• Bachelor’s Degree in Computer Science, Engineering, Information Systems, or Mathematics.
• 8+ years of progressive IT experience, including 5+ years of specialized experience in enterprise web application development, delivery, and deployment.
• Agile Software Delivery: Proven hands-on experience developing, configuring, testing, and deploying enterprise-grade software applications in an agile delivery environment.
• Core Engineering Stack: Deep technical expertise in Python and SQL, supplemented by working knowledge of JavaScript or Java.
• Data & Middleware Architecture: Strong experience designing relational data models (SQL Server, Oracle, or MariaDB), custom APIs, and middleware/ESB orchestration layers.
• Infrastructure & Testing: Practical experience with web application infrastructure, containerization using Kubernetes, DevSecOps concepts, test automation tools (Selenium), and performance/load testing methodologies.

Preferred Qualifications

• Experience operating within high-velocity, cross-functional engineering teams.
• Hands-on exposure to modern Generative AI integrations, LLM application pipelines, or vector databases.
• Ecosystem Experience: We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment.