Design, develop, test, and maintain Model Context Protocol (MCP) servers and supporting integration components using Python.
Develop reusable MCP tools, resources, prompts, schemas, and interfaces that allow AI agents to interact with approved enterprise applications, databases, APIs, and data sources.
Build MCP capabilities that securely expose enterprise functions such as search, retrieval, lookup, summarization support, case information, workflow information, knowledge content, and other approved business capabilities.
Develop Python-based connectors and services that translate MCP tool requests into secure calls to enterprise APIs, databases, web services, and application interfaces.
Design MCP tools with clearly defined inputs, outputs, validation rules, permissions, error handling, and operational boundaries.
Implement secure read-only and transactional integration patterns, ensuring AI agents can perform only explicitly authorized actions.
Develop and maintain REST/SOAP APIs, backend services, adapters, and supporting integration logic where MCP tools require access to existing enterprise systems.
Integrate MCP services with Oracle databases, enterprise applications, case-management systems, knowledge repositories, and other approved data sources.
Work with PeopleSoft technical teams to expose approved PeopleSoft HCM and CRM functionality through Integration Broker, Component Interfaces, web services, queries, APIs, database interfaces, or other appropriate integration mechanisms.
Develop database queries and data-access components used by MCP tools while applying appropriate data filtering, validation, security, and access controls.
Implement authentication and authorization for MCP servers and downstream enterprise connections using approved service identities, tokens, certificates, credentials, and cloud identity mechanisms.
Apply least-privilege principles to MCP tools and service accounts so agents receive only the data and capabilities required for a specific use case.
Implement input validation, output validation, schema enforcement, exception handling, retries, timeouts, logging, and other reliability patterns across MCP and API integrations.
Prevent inappropriate direct access to enterprise applications or databases by creating controlled integration interfaces and reusable service boundaries.
Develop mocks, simulated services, test harnesses, and automated integration tests to validate MCP behavior without requiring inappropriate use of sensitive production data.
Troubleshoot issues across MCP servers, Python code, APIs, authentication, database connections, application interfaces, network connectivity, and downstream services.
Analyze agent tool calls and integration behavior to identify incorrect tool usage, invalid parameters, excessive permissions, failed transactions, or other integration defects.
Maintain MCP interface documentation, tool definitions, API specifications, data mappings, authentication requirements, deployment procedures, and operational support documentation.
Establish reusable MCP development patterns, coding standards, naming conventions, security practices, and integration frameworks for use across multiple AI agents and use cases.
Participate in code reviews, architecture discussions, backlog refinement, demonstrations, testing, release readiness, and other Agile/SAFe delivery activities.
Other duties as assigned.
Must be a U.S. Citizen with an active Secret security clearance or be able to obtain one.
Bachelor's degree in Computer Science, Software Engineering, Information Systems, Engineering, or a related field; equivalent relevant experience may be considered.
3+ years of hands-on software development, systems integration, API development, middleware, backend development, or comparable enterprise integration experience.
Strong hands-on Python development skills, including development of services, APIs, libraries, connectors, and integration components.
Hands-on experience developing Model Context Protocol (MCP) servers, tools, resources, or comparable AI tool-integration capabilities.
Experience designing and implementing integrations between applications, APIs, databases, and enterprise services.
Strong knowledge of REST APIs, JSON, HTTP, authentication, authorization, input/output schemas, and enterprise integration patterns.
Experience developing secure database integrations using SQL and appropriate database-access libraries or APIs.
Experience implementing service authentication, secrets management, certificate or token-based authentication, least-privilege access, and secure service-to-service communication.
Experience with integration reliability patterns including validation, retries, timeouts, exception handling, logging, monitoring, and failure recovery.
Experience with automated testing, Git/source control, code reviews, CI/CD, debugging, and modern software-development practices.
Strong troubleshooting skills across application code, MCP services, APIs, authentication, databases, and enterprise systems.
Advanced hands-on experience designing and developing enterprise MCP servers and reusable MCP tools for AI agents.
Experience defining MCP tool schemas, resource interfaces, permissions, input validation, structured outputs, and secure execution boundaries.
Experience developing MCP integrations with databases, case-management platforms, knowledge repositories, ERP systems, or other complex enterprise applications.
Experience integrating AI agents with structured enterprise data and transactional business systems.
Experience with Oracle Database and strong SQL skills.
Experience with Oracle PL/SQL, including stored procedures, packages, functions, views, queries, and database-side business logic, is a strong plus.
Experience integrating with PeopleSoft HCM or PeopleSoft CRM using Integration Broker, Component Interfaces, REST/SOAP services, PeopleTools, SQL, or related technologies.
Experience developing or consuming REST/SOAP services using OpenAPI/Swagger or comparable API-definition standards.
Experience with boto3, botocore, cloud SDKs, or related Python libraries used to access cloud-hosted services.
Experience with OAuth/OIDC, service identities, certificates, API keys, tokens, and enterprise identity-management patterns.
Understanding of AI-specific integration risks including prompt injection, inappropriate tool invocation, excessive permissions, data leakage, and unauthorized transactions.
Experience implementing human approval, validation, or other controls around AI-initiated transactional actions.
Experience with Docker, Kubernetes, OCI Functions, API Gateway, or comparable cloud-native application and integration technologies.
Familiarity with OCI and deployment of MCP or AI integration services within secured Oracle Cloud Infrastructure environments is a plus.
Experience working in Agile or SAFe environments and using Azure DevOps (ADO) or a similar lifecycle-management tool.
Experience supporting secured Federal or DoD enterprise systems is preferred.
Oracle, Python, API/integration, cloud, or related certification is a plus.
Compensation at DXC is influenced by an array of factors, including but not limited to the experience, job-related knowledge, skills, competencies, as well as contract-specific affordability and organizational requirements. A reasonable estimate of the current compensation range for this position is $73,400 - $136,300.
Full-time hires are eligible to participate in the DXC benefit program. DXC offers a comprehensive, flexible, and competitive benefits program which includes, but is not limited to, health, dental, and vision insurance coverage; employee wellness; life and disability insurance; a retirement savings plan, paid holidays, paid time off.
At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.
