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Lead cloud implementation projects focused on SAP and AI platforms. Responsibilities include client consultation, architecture design, and POC initiatives.

The Solution Architect will design and develop cloud-based solutions, conduct client collaboration, and implement infrastructure automation best practices, focusing on security and compliance.

Design and execute manual and automated testing strategies, develop and improve automation frameworks, expand test coverage, integrate test suites into CI/CD pipelines, and perform exploratory, risk-based, API, frontend, backend, and regression testing. Communicate quality risks and recommendations while promoting QA best practices and continuous improvement.

Build and maintain full-stack software and production AI applications for government product teams. Develop LLM workflows, evaluation pipelines, observability, guardrails, testing, and deployment processes. Collaborate with customers on discovery, demos, proofs of concept, architecture, onboarding, integrations, support, and troubleshooting. Maintain technical documentation and improve accessibility, including remediating WCAG issues and learning assistive technologies.

Design, implement, and maintain hybrid AWS and on-prem infrastructure using IaC (Ansible, Terraform). Manage Linux systems, Elasticsearch, container platforms (Docker, Kubernetes/EKS), and monitoring (CloudWatch, Prometheus, Grafana, Zabbix). Build CI/CD pipelines, troubleshoot network/system/application issues, and plan/execute on-premises-to-cloud migrations while collaborating with cross-functional teams to ensure high availability and operational efficiency.

Lead modernization of enterprise .NET applications into cloud-native microservices on Azure. Define architecture, build a pilot reference implementation, implement CI/CD and secure coding practices, conduct reviews, mentor engineers, and drive adoption of scalable, production-grade solutions across multiple applications.

Lead end-to-end delivery of application modernization projects for public-sector clients. Manage requirements gathering, planning, scope, risks, budgets, resources, quality, and stakeholder relationships. Coordinate development, testing, deployment, and documentation while ensuring compliance, profitable on-time delivery, and adherence to best practices and Agile methodologies.

Serve as a technical bridge between customers and engineering to define requirements, run discovery workshops, translate business needs into user stories, support cloud-native and AI solution design, assist pre-sales POCs, work in Agile teams on backlog prioritization, coordinate UAT and production rollouts, and provide technical-business advisory throughout delivery.

The Splunk Development Engineer designs and supports Splunk solutions, develops use cases, optimizes implementations, and assists operations with data ingestion and performance issues.

Lead and coordinate project teams, create and execute project plans, manage daily project operations, review deliverables, communicate with stakeholders, and drive continuous improvement across projects.