Senior Software Engineer (MCP Servers)

CoreLogic • Irvine, CA

1d • $128,700 - $160,000 • Hybrid

About The Position

Cotality is seeking a highly skilled Senior Software Engineer to design, build, and scale next-generation platforms that power AI-enabled applications across our enterprise. This role operates at the intersection of modern API architecture and AI integration, with a strong emphasis on developing MCP (Model Context Protocol) servers and Apigee X-based API ecosystems to securely expose internal data and services to AI-driven use cases. You will work across broad system scopes—translating business needs into scalable technical solutions—while influencing architecture, engineering practices, and platform strategy. This is an opportunity to play a critical role in advancing Cotality’s AI-native engineering transformation, driving innovation in how data and APIs are leveraged by emerging AI applications and agents.

Requirements

• Bachelor's degree in Computer Science, Software Engineering, related technical field or equivalent work experience.
• 5+ years of relevant work experience in software development.
• Strong proficiency in software development principles and methodologies.
• Proficiency in Python, JavaScript/Node.js, Java
• Comprehension of the MCP architecture and the client-server communication model
• Familiarity with general API concepts, as well as specific transport mechanisms like HTTP APIs, gRPC, and WebSocket streaming
• The ability to build servers that expose tools, create resources for direct data access, and formulate prompts for pre-defined workflows
• Experience testing and debugging servers utilizing the MCP Inspector.
• Implementing OAuth authentication for clients
• Designing, building, and maintaining robust API proxies.
• Proficiency in RESTful API design, alongside experience with Node.js and JavaScript.
• Mastering the implementation of security policies, including OAuth, JSON Web Tokens (JWTs), API keys, and data masking to hide sensitive data.
• Customizing policies to handle traffic effectively, utilizing tools like Spike Arrest to limit the rate of API calls.
• Orchestrating complex workflows by integrating Apigee with multiple backend services, databases, and third-party platforms.
• Using service accounts and Google Authentication to safely access backend services from Apigee proxies.
• Documenting APIs utilizing OpenAPI specifications.
• Familiarity with continuous integration and continuous deployment tools, such as Jenkins, Git, and Maven.
• Using Apigee's analytics tools to monitor traffic, detect anomalies, and understand API usage patterns.
• Packaging and productizing APIs using API products and developer portals.
• Experience creating class and sequence diagrams from high and low-level designs.
• Demonstrated ability to write clean, efficient code for scalable and flexible applications.
• Expertise in software testing methodologies and writing programmatic tests.
• Proven track record of delivering components for larger functional areas or applications.
• Strong problem-solving skills for investigating and fixing software bugs.
• Experience mentoring junior colleagues and sharing technical knowledge.

Responsibilities

• Design, develop, and enhance complex software systems that enable scalable and secure AI integrations.
• Lead the architecture and implementation of MCP servers to expose internal APIs and datasets for AI applications and agent-based workflows.
• Develop and manage Apigee X API proxies, optimizing API lifecycle management, security, and performance.
• Translate high-level requirements into detailed technical specifications, system designs, and implementation approaches.
• Partner with product owners and business stakeholders to define requirements, with a strong focus on AI integration capabilities and API exposure strategies.
• Evaluate technical feasibility and recommend solutions considering scalability, system constraints, and time-to-market.
• Drive best practices for AI context delivery, API governance, and cross-platform integration.
• Define testing strategies and collaborate with QA and engineering teams to elevate overall testing maturity.
• Develop and enhance testing approaches for: MCP server security and access control, Context retrieval accuracy and latency optimization, Apigee X policy effectiveness and API performance.
• Write comprehensive unit, integration, and system-level tests to ensure reliability and scalability.
• Provide support for complex production issues, including: AI context pipeline failures and MCP integrations, API gateway traffic patterns and anomalies within Apigee X.
• Troubleshoot and resolve escalated incidents using a systems-level perspective.
• Recommend enhancements to improve system resilience, scalability, and performance.
• Influence and advance engineering processes, including: MCP server deployment and lifecycle management, API proxy development standards within Apigee X, CI/CD pipelines and automation practices.
• Research and evaluate emerging technologies across: AI ecosystems and agent frameworks, MCP standards and related SDKs, Modern API management platforms.
• Apply and socialize new approaches, driving continuous innovation across the team.
• Mentor and guide junior engineers, fostering a culture of technical excellence and continuous learning.
• Provide subject matter expertise across projects and contribute to knowledge sharing through documentation and technical leadership.
• Communicate progress, risks, and blockers transparently to maintain delivery momentum.

Benefits

• Generous PTO and 11 paid holidays, plus well-being and volunteer time off.
• Up to 16 weeks of fully paid parental leave and a baby stipend.
• Multiple medical plan options with mental health and wellness support offerings.
• 401(k) with company match and vesting after one year.
• $400 annual well-being stipend and tuition assistance up to $5,250.
• Recognition Rewards, Referral bonuses, exclusive discounts and more!

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree