Senior Software Engineer

Overview

Job Summary (Senior Software Engineer –

Location:

O’Fallon, MO)

• Serve as a core integration engineer on a network analysis pilot using Microsoft Enterprise Viva platform.
• Assist in the assessment, analysis, and implementation of Microsoft Graph Data Connect.
• Act as technical lead; coordinate with platform engineering, operations, data science, and Microsoft support.
• Ensure platform security: identify risks, escalate concerns, implement mitigation and controls.
• Follow company policies, standards, guidelines, and design patterns.
• Collaborate closely with project team to understand requirements and project milestones.
• Implement and monitor quality checks for reliable solution functionality.
• Design monitoring tools, systems, and processes to manage infrastructure.
• Participate in team prioritization with Product/Business stakeholders.
• Estimate and own delivery tasks: design, development, testing, deployment, config, documentation.
• Automate build, operate, and run aspects of software delivery.
• Lead code/design/process trade-off discussions.
• Report status and manage risks for assigned applications/services.
• Drive service integration with focus on customer experience.
• Conduct demos/acceptance discussions with Product Owners.
• Work to improve operational and engineering experience and metrics.
• Develop full understanding of end-to-end technical architecture and dependencies.
• Promote adoption of technology standards, review code, tests, and automation.
• Mentor and guide less-experienced team members.
• Identify process improvement opportunities and reduce inefficiencies.
• Share and seek knowledge within team for reuse and productivity enhancement.
• Collaborate with external teams and support enterprise-level initiatives.
• Hands-on experience with Azure services (compute, storage, AD, Data Factory, automation, monitoring).
• Good understanding of Microsoft 365, Microsoft Graph, and related technologies.
• Knowledge of cost optimization for cloud resources.
• Foundational knowledge of data lakes and data science is a plus.
• Demonstrate creativity, adaptability, and strong problem-solving skills.
• Open to feedback, flexible, and responsive to changing priorities.