Coretek

Engineer

• Provide escalated technical support for Microsoft-based systems, including Active Directory, Exchange, Defender, Sentinel, Intune, Autopilot and other products in the Office 365 suite
• Proactively monitor, troubleshoot, and resolve complex issues related to device enrollment, onboarding, provisioning, and application performance
• Perform system administration tasks such as system configuration, patch management, and software upgrades
• Design, implement, and maintain backup and disaster recovery solutions for Microsoft environments
• Collaborate with Level 1 and Level 2 support teams to escalate and resolve technical issues in a timely manner
• Assist L4 Consulting on project work as needed
• Conduct root cause analysis and implement corrective actions to prevent recurring problems
• Document system configurations, procedures, and troubleshooting steps to maintain a comprehensive knowledge base
• Participate in the adoption of DevOps processes and identify possibilities to streamline and automate
• Participate in project planning and implementation of IT infrastructure upgrades and migrations
• Stay updated on emerging Microsoft technologies and best practices
• Implement Conditional Access and MFA in the Azure tenant
• Manage devices using Intune MDM/MAM, Autopilot, and Windows Hello for Business
• Work with Microsoft Security Products including Defender, Sentinel, and Purview
• Manage identity technologies including Entra ID, PIM, Least Privilege, and Access Reviews
• Speak with clients to identify opportunities to address organizational pain points with additional products and services
• Exhibit leadership and organizational capabilities in a Managed Services team, client, or project environment

Level 3 Managed Services Engineer – Microsoft

QA Automation Engineer

• Work with business stakeholders to identify automation opportunities, clarify requirements, and agree on scope and acceptance criteria.
• Build and maintain AI agents and workflows using Azure AI, Copilot Studio, Power Automate, Tines, and supporting code as needed.
• Connect applications such as Microsoft Teams and Salesforce through APIs, webhooks, and platform connectors; handle authentication and data access securely.
• Apply generative AI, prompt design, and data retrieval to business tasks; evaluate output quality and address inaccurate or incomplete responses.
• Use Elastic, including Elasticsearch and Kibana, to support search, data retrieval, and analysis of logs and operational data where appropriate.
• Test with representative data, exceptions, and edge cases; resolve defects and complete peer review and business validation before release.
• Deploy solutions with appropriate logging, error handling, and human approval steps; monitor operation and troubleshoot issues after launch.
• Document workflows, integrations, configuration, and design decisions so another team member can maintain or extend the solution.
• Estimate effort, keep stakeholders informed, raise blockers or risks before they affect commitments, and track time saved or other agreed business results.
• Work with developers and subject matter experts to improve reusable components, review changes, and assess tools that could improve delivery.
• Deliver automations that meet agreed requirements, remain reliable after deployment, and reduce manual effort or improve work quality.

AI and Automation Developer

Consultant

• Design and build solutions using Model-Driven Apps and Canvas Apps on the Power Platform
• Develop and maintain Dataverse data models, including tables, relationships, business rules, and security roles
• Build and extend Power Pages portals for external-facing client and citizen experiences
• Author custom logic using Power Fx, C# plugins, and JSON-based configurations
• Automate business processes using Power Automate cloud flows and integrate with connectors and Azure services
• Lead or support legacy system conversions, particularly migrating InfoPath forms and SharePoint workflows to modern Power Platform solutions
• Implement and enforce governance frameworks, including environment strategy, DLP policies, solution layering, and ALM practices
• Design and maintain security models, including business units, teams, roles, field-level, and hierarchy security
• Manage application lifecycle using Power Platform CLI (pac cli) and Azure DevOps pipelines
• Collaborate with architects and business stakeholders to translate requirements into scalable, secure solutions
• Provide guidance on licensing and capacity planning for Power Platform environments
• Document solution architecture, security models, and governance policies for client handoff

Power Platform Consultant

AI Engineer

• Design, build, and ship agentic AI applications on Azure, including multi-step reasoning, tool/function calling, retrieval, memory, and human-in-the-loop checkpoints.
• Implement retrieval-augmented generation pipelines with chunking, embeddings, indexing, hybrid/semantic search, reranking, and citation grounding.
• Integrate agents with client systems through APIs, databases, and MCP servers; write tool definitions and schemas.
• Build evaluation harnesses and golden datasets measuring accuracy, groundedness, and task completion.
• Instrument production agents with tracing, token/cost telemetry, latency budgets, failure/fallback paths, and quality-regression alerting.
• Implement guardrails for prompt injection defense, content filtering, PII handling, output validation, and human-approval boundaries.
• Tune cost and latency through model selection, prompt caching, context management, batching, and model routing.
• Apply version control, code review, automated testing, CI/CD, and prompt/model versioning.
• Containerize and deploy agent services; own build, release, scaling, and runtime configuration.
• Set technical direction on client engagements and mentor junior engineers.
• Work directly with clients to scope agent use cases and assess model capabilities and limitations.
• Partner with project managers, data engineers, and application teams to deliver end to end and document systems for operation.

Senior Agentic AI Developer

Data Engineer

• Design, build, and maintain idempotent, observable, and recoverable batch and streaming data pipelines
• Model data for analytics, including dimensional models, semantic layers, and curated marts
• Integrate data from operational databases, SaaS APIs, files, and event streams while handling schema drift and late-arriving data
• Build pipeline-integrated data quality checks for freshness, volume, uniqueness, and referential integrity
• Define failure alerting and escalation processes
• Own production pipelines through monitoring, on-call data incident response, root-cause analysis, and backfills
• Tune performance and cost through partitioning, clustering, file sizing, and warehouse or cluster sizing
• Apply version control, code review, CI/CD, automated testing, and infrastructure as code
• Implement access controls, PII handling, retention, lineage, and audit requirements with security and compliance teams
• Partner with analysts, data scientists, and product engineers to create durable data contracts
• Maintain data dictionaries, lineage, and pipeline runbooks

Cloud Engineer

• Lead the development of Data and AI strategies and roadmaps aligned with business goals
• Design and architect advanced Azure solutions integrating Microsoft Fabric, Azure Synapse Analytics, Databricks, Azure SQL, Cosmos DB, Postgres, and AI technologies
• Provide technical guidance and mentorship to engineering teams
• Oversee integration of Data and AI solutions with existing enterprise systems and processes
• Design and implement enterprise data architectures supporting AI solutions, data quality, governance, and security
• Architect solutions using Azure AI Services, Azure OpenAI, Azure Machine Learning, and Cognitive Services
• Partner with Project Managers and stakeholders to manage complex projects from inception to completion
• Mentor and coach team members and foster continuous learning and technical excellence
• Develop deployment architectures, solution standards, and technical frameworks
• Act as a trusted technical advisor to clients through executive workshops, solution presentations, and consensus-building

Level 3 Managed Services Engineer – Microsoft

AI and Automation Developer

Power Platform Consultant

Senior Agentic AI Developer

Data Engineer

Architect – Azure Data, AI