T-Rex Solutions, LLC

• Design, implement, and test data governance and compliance policies, including data classification, labeling, and DLP policies. • Deploy and configure Microsoft Purview and integrated Microsoft 365 services. • Mitigate risks by protecting sensitive data from internal and external threats. • Manage and support eDiscovery workflows, including data collection, search, and export for legal and compliance teams. • Collaborate with data architects, analysts, IT, security teams, and business application owners to implement solutions and enforce governance best practices.

• Conduct detailed financial analysis, budgeting, forecasting, and reporting for AWS cloud expenditures. • Lead the cost evaluation process for requests for additional AWS resources, including compute, storage, networking, and managed services, working closely with system owners, architects, and engineers to validate requirements, assess technical feasibility, develop cost estimates, and recommend cost-effective solutions. • Leverage AWS-native and third-party FinOps tools to identify and implement cloud cost optimization opportunities. • Analyze AWS resource utilization and consumption trends to develop recommendations for rightsizing, Savings Plans, Reserved Instances, and storage optimization. • Provide cloud cost insights, spending trends, financial reporting, and optimization recommendations to leadership and stakeholders. • Support and mature the organization's FinOps practice, fostering accountability and awareness for cloud consumption. • Develop and maintain cloud cost allocation models, tagging standards, system-owner chargeback processes, budgeting controls, and governance practices. • Collaborate with AWS representatives and vendors to optimize service utilization and maximize cost savings opportunities. • Monitor emerging AWS services, FinOps capabilities, and industry best practices to continuously improve cloud financial operations.

• Install, configure, and maintain Linux servers (CentOS, Ubuntu, Red Hat, etc.) in both physical and virtual environments. • Perform regular system updates, patch management, and kernel upgrades. • Deploy, configure, and manage Linux-based infrastructure in AWS, Azure, OCI, and GCP. • Utilize cloud-native tools and services for monitoring, scaling, and automating Linux workloads • Develop and maintain automation scripts using Bash, Python, and other relevant scripting languages. • Utilize configuration management tools (e.g., Ansible, Puppet, Chef) to automate provisioning and configuration of Linux systems. • Implement and manage monitoring solutions to ensure high availability and performance of Linux systems. • Perform performance tuning and optimization of Linux servers and applications. • Ensure systems comply with organizational and industry security standards. • Conduct regular security audits, vulnerability assessments, and implement remediation strategies. • Perform vulnerability remediation and hardening of servers using DISA STIGs (Security Technical Implementation Guides). • Implement and manage backup and recovery solutions for Linux environments. • Perform regular testing of backup and disaster recovery processes. • Work closely with security teams to support application deployment and troubleshooting. • Provide Tier 2/3 support for Linux-related incidents and service requests. • Participate in on-call rotations

• Design and develop System Test Automation Scripts using Selenium web driver, Jest , Cucumber, API testing (for e.g. RestAssured/Karate) and experience in using Selenium Javascript APIs • Support Test Automation Solution Planning and Estimation. Analyze current architecture and test platforms to formulate a vision for growth and expansion. • Perform detailed test designs using sound software test engineering principals in the context of test automation platforms and integration across distributed systems • Collaboratively elaborate requirements to enable Acceptance Test Driven Development (ATDD) with BAs and developers • Perform tasks required for automated test implementation including review acceptance criteria (Gherkin scripts), create integration/regression test scenarios, test cases, implement test data management strategy, and generate required reports. • Improve existing test automation frameworks (i.e. make them faster, more flexible and easier to use). Utilize parallel processing or grid systems to speed up the tests • Gather non-functional performance requirements, analyze and strategize the performance test approach • Build performance testing frameworks that can be leveraged by development teams and QA teams to do their performance testing • Hands-on script development using JMeter or Gatling or other open source tools • Measure various aspect of the system performance, including throughput, response times, resource usage such as CPU, memory, thread utilization and IO statistics. • Ability to work closely with Application Development and DevOps teams to identify, troubleshoot and debug performance issues

• Facilitate product discovery sessions with the product managers/product owners and business end users to gather business requirements for new products • Analyze and document business requirements in the form of experiences, epics, stories and acceptance criteria in JIRA for both business and technical audiences • Collaborate with other Product Leads and Master Business Analyst to understand and define product dependences, interfaces, and risks • Define & document acceptance criteria for user stories in a given-when-then format • Produce meeting minutes and summarize key decisions points at conclusion of discussions • Collaborate with Product Management and Agile development teams to communicate detailed product requirements for development • Create business process workflows and any other artifacts required as needed • Work with technical visionaries to document implementation steps and other deliverables • Ability to efficiently support multiple simultaneous work streams, including projects and program initiatives, and prioritize, manage, and execute effectively with compressed time lines and ambiguous tasking • Work remotely in a Scale Agile Framework (SAFe) development environment to support Program Increment (PI) planning to review program backlog and update product roadmap

• Design, implement, and test data governance and compliance policies, including data classification, labeling, and DLP policies. Monitor and optimize these policies to align with regulatory requirements. • Deploy and configure Microsoft Purview and integrated Microsoft 365 services. Administer and manage role groups, custom roles, and permissions within the Purview portal. • Mitigate risks by protecting sensitive data from internal and external threats. Implement information protection and insider risk management solutions. Respond to data protection incidents and participate in security investigations. • Manage and support eDiscovery workflows, which includes data collection, search, and export for legal and compliance teams. • Collaborate with data architects, analysts, IT, security teams, and business application owners to implement solutions and enforce governance best practices. Provide training and support to users on data protection tools and policies.

• Lead execution of SDLCNext delivery, translating stakeholder needs into prioritized backlog, user stories, enhancement initiatives, and release-ready capabilities • Own backlog prioritization, sprint planning, roadmap execution, and Agile delivery activities across sustainment and enhancement efforts • Balance operational ITSM support with delivery of platform enhancements, automation initiatives, and modernization efforts • Identify and mitigate delivery, operational, platform, and stakeholder risks impacting execution • Lead AI-enabled automation and operational transformation initiatives across SDLCNext and supporting Process & Tools operations • Identify manual operational processes and redesign them into scalable, automation-first workflows • Implement automation capabilities across Jira, JSM, Confluence, integrations, and related enterprise tooling • Leverage Generative AI and workflow automation solutions to improve operational efficiency, ticket routing, reporting quality, workflow consistency, and delivery execution • Drive reduction of manual effort across ITSM and SDLC operations through automation and intelligent workflow design • Continuously identify opportunities to improve scalability, operational efficiency, and end-user experience through AI and automation • Oversee Jira, JSM, and Confluence governance, configuration, optimization, and operational scalability • Design and optimize workflows, automation rules, dashboards, data structures, JQL queries, and enterprise configurations • Drive enterprise adoption of Jira automation capabilities, integrations, and scalable workflow standards • Support Atlassian Cloud migration and long-term platform modernization initiatives • Oversee ITSM operations including incidents, service requests, change activities, requirements workflows, and sustainment support • Ensure SLA adherence, operational responsiveness, ticket throughput, and platform stability • Improve operational maturity and consistency through automation, governance, and workflow optimization • Track and report on platform performance, operational metrics, automation effectiveness, SLA adherence, and backlog health • Use operational data and platform metrics to drive prioritization and continuous improvement • Serve as primary advisor to Government Product Manager and stakeholders regarding platform operations, delivery priorities, and transformation initiatives • Lead and direct personnel supporting ITSM operations, sustainment, and platform enhancement efforts

• In-Depth knowledge and hands-on experience with major cloud platforms, such as Azure, OCI and GCP. • Comprehensive knowledge of cloud security best practices and ability to implement security measures within cloud networks. • Strong understanding of networking protocols and technologies, including TCP/IP, DNS, DHCP, VPN, BGP and OSPF. • Strong understanding of Virtual Private Clouds (VPCs) and subnets to meet the organization’s performance and security requirements. • Experience with software-defined networking (SDN) and virtual networking concepts. • Experience with identity and access management (IAM) in cloud environments • Experience with installation of various network devices and services (e.g., routers, firewalls, load balancers, VPN, QoS) • Perform network maintenance and system upgrades including service packs, patches, hot fixes, and security configurations for any third-party network devices in cloud platforms. • Work with the existing network administrators and engineers to manage, deploy, and troubleshoot firewalls, routers, VPN concentrators, and Network Access Control in cloud platforms. • Monitor performance and ensure system availability and reliability • Monitor system resource utilization, trending, and capacity planning • Provide Level-2/3 support and troubleshooting to resolve issues

• Supports ECS/EAD (Enterprise Case Selection/Enterprise Anomaly Detection) data engineering tasks including ingestion scripting, basic transformation logic, and data preparation activities for analytics and operational workloads. • Assists senior engineers in building and maintaining pipelines, validating data accuracy, and troubleshooting low‑complexity ingestion errors. • Performs initial schema mapping, data profiling, and documentation updates. • Works with analysts and data scientists to ensure datasets are complete, accessible, and aligned with ECS/EAD mission and compliance requirements

• Supports ECS/EAD (Enterprise Case Selection/Enterprise Anomaly Detection) data engineering efforts with a focus on automation and repeatable data processing workflows. • Builds automated data validation routines, ETL test harnesses, and monitoring scripts to ensure pipeline reliability, data integrity, and compliance with agency standards. • Implements ingestion and transformation components, integrates with cloud data services, and resolves pipeline defects through automated checks. • Collaborates with senior engineers, analysts, and cloud teams to ensure data flows are accurate, secure, and aligned with ECS/EAD modernization patterns.