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Apigee Engineer Jobs in Austin, TX (NOW HIRING)

... with Apigee or API Gateway • Scripting knowledge (Java, Python, Groovy, or JavaScript) • Exposure to Site Reliability Engineering (SRE) principles Company : Abode TechZone LLC is fast growing ...

Apigee: Intermediate AWS API Gateway: Intermediate Batch Programing: Advanced Database Administration: Intermediate Identity & Access Management (IAM): Foundation Architect (some experience as an ...

Role: Kong Developer with Full Stack .NET Experience Location - Austin, TX 12 Months Contract ... Hands-on experience with Kong API Gateway (or similar API gateways such as Apigee, AWS API Gateway ...

As a Lead Full-stack Engineer you will work on Anti-Money Laundering/Bank Secrecy Act (AML/BSA ... Swagger, APIGEE Edge/X, FUSE, Kafka, PubSub or equivalent, Docker/Kubernetes * Preferred ...

Apigee Engineer information

See Austin, TX salary details

$20

$60

$78

How much do apigee engineer jobs pay per hour?

As of Aug 3, 2026, the average hourly pay for apigee engineer in Austin, TX is $60.95, according to ZipRecruiter salary data. Most workers in this role earn between $54.81 and $67.45 per hour, depending on experience, location, and employer.

What is the difference between Apigee Engineer vs API Developer?

AspectApigee EngineerAPI Developer
Primary FocusDesigning, implementing, and managing API gateways and API management solutions using ApigeeDeveloping, testing, and maintaining APIs for various applications
Required SkillsExperience with Apigee platform, API security, cloud services, and API lifecycle managementProficiency in programming languages, API design, RESTful services, and documentation
Work EnvironmentTypically in cloud or enterprise environments focusing on API management infrastructureInvolves software development teams working on API creation and integration

While both roles involve APIs, an Apigee Engineer specializes in managing API gateways and platforms like Apigee, focusing on API security and deployment. An API Developer primarily designs and develops APIs for application use. The roles often overlap but differ in scope and technical focus.

What are popular job titles related to Apigee Engineer jobs in Austin, TX? For Apigee Engineer jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Apigee Engineer jobs in Austin, TX look for? The top searched job categories for Apigee Engineer jobs in Austin, TX are:
What cities near Austin, TX are hiring for Apigee Engineer jobs? Cities near Austin, TX with the most Apigee Engineer job openings:

Senior AI & Apigee Developer at Austin, TX

MphasiS Corporation USA

Austin, TX • On-site

Other

Posted 13 days ago


Job description

Senior AI & Apigee Developer

Austin, TX

$120K - $130K PA

Senior AI & Apigee Developer to help define and build the next generation of our API Platform, Developer Portal, and AI-powered onboarding capabilities. This role will focus on Google Apigee, API platform modernization, MCP integrations, Apigee Monetization, Agentic AI solutions, and AI-driven automation that improves developer productivity and onboarding experience.

Ideal Candidate

The ideal candidate is a hands-on engineer with strong expertise in API platforms, cloud technologies, AI-enabled development, and enterprise automation.

A senior, hands-on engineer with expertise in Apigee, MCP, AI agents, Agentic AI, LLMs, RAG, AI-DLC, Terraform, GitHub Actions, and Developer Portal technologies, capable of driving API platform modernization and delivering AI-powered solutions that improve onboarding, automation, and developer productivity across the enterprise.

Years of experience needed 12+ years

Key Responsibilities

  • Design, develop, and support API platform capabilities using Google Apigee.
  • Implement and manage Apigee Monetization capabilities.
  • Build and integrate MCP (Model Context Protocol) servers to enable AI-powered interactions with enterprise APIs and services.
  • Design and implement Agentic AI solutions for API onboarding, support, documentation, and operational automation.
  • Define and develop AI-powered onboarding capabilities that reduce manual effort and improve developer experience.
  • Enhance and scale the internal Developer Portal and related SPA applications.
  • Build reusable frameworks, templates, and self-service capabilities for API consumers.
  • Develop CI/CD pipelines and Infrastructure as Code (IaC) solutions for platform automation.
  • Partner with Architecture, Platform, Security, and Application teams to deliver secure, scalable, and resilient solutions.
  • Drive adoption of AI-enabled engineering practices and AI-Driven Development Lifecycle (AI-DLC) capabilities.

Required Skills

  • 6+ years of hands-on Google Apigee experience.
  • Strong experience with API Proxy Development, Shared Flows, API Products, Developer Apps, Target Servers, and KVMs.
  • Experience implementing OAuth 2.0, OIDC, JWT, mTLS, API Key management, and certificate-based authentication.
  • Strong software development experience using Java, Python, JavaScript
  • Experience developing REST APIs, microservices, and enterprise integrations.
  • Experience designing and implementing AI-powered engineering solutions.
  • Experience building Agentic AI workflows and automation solutions.
  • Experience with MCP (Model Context Protocol) architecture and integrations.
  • Experience working with LLMs and enterprise AI solutions.
  • Experience with Prompt Engineering and AI-assisted development tools.
  • Experience designing or implementing RAG (Retrieval-Augmented Generation) solutions.
  • Experience developing AI agents, multi-agent systems, or intelligent orchestration workflows.
  • Experience creating agent skills, training workflows, and AI enablement capabilities.
  • Experience building CI/CD pipelines using GitHub Actions, Jenkins, Azure DevOps, or similar platforms.
  • Experience with Terraform and Infrastructure as Code (IaC).
  • Experience with Google Cloud Platform (Google Cloud Platform) and container technologies.
  • Experience with monitoring, observability, dashboarding, and ing solutions.

Preferred Skills

  • Experience implementing Apigee Monetization solutions.
  • Experience leading AI-Driven Development Lifecycle (AI-DLC) initiatives.
  • Experience integrating GitHub Copilot or other AI coding assistants into engineering workflows.
  • Experience with Vertex AI, Gemini, Azure OpenAI, LangChain, CrewAI, AutoGen, or similar AI frameworks.
  • Experience building enterprise MCP servers and AI gateways.
  • Experience designing multi-agent architecture and orchestration frameworks.
  • Experience developing AI-powered onboarding agents and intelligent self-service platforms.
  • Experience with React, Angular, or modern SPA frameworks.
  • Experience supporting large-scale API onboarding and modernization initiatives.
  • Experience with Kubernetes, Docker, and cloud-native architectures.
  • Experience working in highly regulated enterprise environments such as Financial Services.