Architecture

Job Description

Job Description

8.1. ANALYTICS & DATA ENGINEERING

Analytics and data engineering are allied disciplines. Each contributing to data driven-decision

making and facilitating. Business intelligence delivers platforms for the visualization of data in

graphic and textual forms for decision makers at any level. Artificial Intelligence and the

spectrum of Machine Learning includes method selection, model development and validation.

Data engineering includes designing, building and operating for the capture, management,

manipulation, and delivery of data at many scales including big data and hosting strategies

including data virtualization. Further, it includes the transmission, interchange and exchange via

multiple means including API tools.

8.2. GEOGRAPHIC INFORMATION SYSTEMS

Geographic Information Systems (GIS) are computer systems for managing and analyzing data

related to Earth's surface. They help in understanding -

• spatial patterns and relationships by

displaying various data types on a map, such as locations, demographics, and environmental

features. GIS projects are conduct with GIS specific platforms these supporting technologies :

data management, connectivity, simulations, VR and AR visualization, analytics and advanced

Computing. Identify gaps in mission service areas, optimize resource allocation, modeling traffic

flow, visualize crashes involving large trucks, crash predictability, rail freight monitoring and

geospatial network analysis, ridership forecasting, port operational analysis and tactical

decisions, identify zones of concern on interstate highways, geospatial analysis of transportation

infrastructure affect by disasters, and pipeline safety and integrity.

8.3. CLOUD TECHNOLOGIES

Leveraging cloud-native architectures and best practices include cloud-native architectures,

cloud-native technologies. Cloud Infrastructures offered may include Platform-as-a-Service

PaaS) compute infrastructure and managed services. Systems designs support agility and

scalability. Microservices, code containerization, backing services and automation are also

expected to be a part of most projects. Cloud projects engage supporting and allied technologies

such as microservices, APIs, managed databases (e.g. : Azure SQL Database or Amazon RDS),

natural language processing, recommendation engines, and predictive analytics. Methods and

management models may include : DevSecOps, continuous monitoring, Infrastructure as Code

IaC), Threat Detection and Protection, Low-Code Development, Immutable Infrastructure,

Service Meshes, Serverless Technologies. More generally, cloud technologies will be employed

to enhance agility, scalability, and value delivery.

8.4. CYBERSECURITY & INFORMATION SECURITY

Projects will safeguard digital assets and sensitive information employing various approaches

including layered protection. Projects will have tasks in verifying the identity of users, devices,

and systems, implementing preventive measures to secure systems and data, identifying and

responding to security incidents, intrusion detection systems (IDS), security information and

event management (SIEM), and anomaly detection. Further tasks may involve developing

incident response plans and procedures, restoring systems and data after an incidents

regular backups, disaster recovery plans, and failover mechanisms. Projects will enhance security

for networks, applications, cloud, endpoint, data, and IoT. Specific may include network

security, firewalls, intrusion detection / prevention systems (IDS / IPS), virtual private networks

VPNS), web application firewalls (WAF), secure coding practices, identity and access

management (IAM), encryption, container security (e.g. Kubernetes). antivirus / antimalware,

endpoint detection and response (EDR), data loss prevention (DLP), device authentication

including IoT systems), firmware security, users security best practices training, phishing

awareness campaigns.

The contractor may be called upon to provide security strategies for and implementation of

emerging technologies such as artificial intelligence, quantum computing, zero trust architecture,

hardware authentication, blockchain and distributed ledger technology.

8.5. APPLICATION DEVELOPMENT, SOFTWARE ENGINEERING PRACTICES and

METHODOLOGIES

Development, modernization and enhancement is core to this vehicle. It includes the technical

tasks of requirements management, solution architecting, system design, coding, testing,

deployment, maintenance and documentation.

The solutions will be architected for efficiency, availability, disaster recovery, security. Best

practices govern and include low-code applications. Development models, such as, Agile,

Scrum, Kanban, DevSecOps / DevOps, ITIL, CMMI, SWEBOK, and Pace Layering will be

applied.

Contractors may be required to apply code review processes, continuous integration and

continuous deployment (CI / CD), test-driven development (TDD), design patterns, code

standards, code quality metrics. Standards that may be required include NIST SP 800-218, ISO

9001, ISO / IEC 12207, ISO / IEC 25010, or IEEE 829.

Development and deployment may require installation, configuration management, quality

assurance, support, documentation development, training, database maintenance, outage

reporting and remediation. Operations and maintenance functions can include but are not limited

to software and database Maintenance and audit request and data calls.

8.6. MAINTENANCE AND OPERATIONS

Projects in this category will support the maintenance and operations of existing and emerging

systems. From the IT perspective, modernization strategies will support legacy systems, digital

transformations and Agile and DevSecOps practices. Application Rationalization may include

assessment and Prioritization, Portfolio Optimization and cost reduction. Technical Debt

Resolution will include documenting technical debt, refactoring and automated testing.

Contractors may support cloud, data and platform migrations. Operations and maintenance

O&M) functions may include monitoring and incident management, patch management, backup

and recovery, and capacity planning. The forgoing will be supported with applications of these

facilitating technologies : configuration management tools, automation, containerization and

orchestration, and specialized tools for security, performance monitoring tools, and

collaboration.

8.7. PROCESS ENGINEERING

Performance gains and cost saving are multiple when process reengineering is applied prior to

system development and modernization. Contactors will provide process improvement

specialists who analyze the current process and redesign them for efficiency. With such process

requirements, the project team will design and develop the solution on the right technology stack

and create an architecture that aligns with the reengineered process. It is expected that these

projects will make use of robotic process automation. Test and deployment as well as user

training belong to this task area. they will be followed by monitoring and maintenance.

8.8. TRAINING, DOCUMENTATION, CONTENT MANAGEMENT

The contractor will create clear, concise, and user-friendly documentation. This may include

user manuals, technical guides, or API documentation by consulting with subject matter experts,

developers, and product managers. They may be required to develop platforms for delivering

content across various channels. The technical requirements may require design of user

interfaces (UI) and enhancing user experiences (UX). Usability, accessibility, and aesthetics are

consideration. They create wireframes, mockups, and prototypes to guide the development

process. Developing training materials and conducting training belong to this task area.

8.9. PROJECT MANAGEMENT

Project management includes leadership, communication, organization, and prioritization. They

may be called on to lead, organize or contribute to scope definition, planning, schedule

management, resource management, documentation, stakeholder relations, risk management and

quality management.

IT project management oversees the process of planning, executing and delegating

responsibilities, ensures that the projects are completed within the defined scope, time, and

budget, creates project plans. ITPM coordinates with team members to manage risks and ensure

communication with stakeholders, track project performance, and make necessary adjustments to

ensure successful project completion.