Software Engineer II - Backend Engineering (AI & Agentic Platforms)

Location: India; Remote

Does working with large quantities of data excite you?

Would you like to drive the evolution of our data engineering platform?

Join our Data Engineering team

Our Platform Engineering & AI Enablement team develops the enterprises AI backbone, including MCP servers, authentication frameworks, and multi-agent systems. They deploy an AI development platform organization-wide, creating infrastructure to ensure AI agents are secure, observable, and governable at scale.

Innovate and develop ground-breaking Data Products

Seeking a Software Engineer II to join the AI enablement team and develop backend services supporting enterprise AI initiatives. Responsibilities include MCP server development, AuthN/AuthZ frameworks, API governance, and orchestration platforms. This role offers real ownership of production systems and opportunities to gain expertise in a rapidly evolving area of enterprise software.

As a Software Engineer II, you will be responsible for:

• Designing, building, and maintaining backend services and APIs supporting enterprise agentic AI initiatives.
• Developing and enhancing Model Context Protocol servers, incorporating internal and external tools and data sources into the agent ecosystem.
• Implementing AuthN/AuthZ frameworks (OAuth2/OIDC, token exchange, mTLS) to secure MCP servers, agents, and LLM traffic effectively.
• Developing Python-based services and integrating with agentic or LLM orchestration frameworks as project needs evolve.
• Governing enterprise API gateway platforms, managing MCP servers, agents, LLM usage, and implementing orchestration workflows using appropriate enterprise tools.
• Collaborating with architects, security, and platform teams to transform AI governance requirements into functional infrastructure solutions.

Do what you love

To be successful in this role, you will:

• Demonstrate 3 to 5 years of backend software engineering experience with a bachelors degree in Computer Science or a related field.
• Possess hands-on experience in Python, with the ability to work across backend services and AI/agent frameworks.
• Demonstrate experience in designing and building APIs, including REST and GraphQL integration.
• Demonstrate expertise with AuthN/AuthZ concepts like OAuth2, OIDC, JWT, token exchange, and mTLS, applying them in practical systems.
• Show expertise with API gateways or integration platforms, understanding microservices architecture alongside the core principles of distributed systems.
• Have exposure to MCP, event streaming platforms like Kafka, Spark, Flink, Redis, identity management, and cloud deployments using Docker/Kubernetes.
• Be self-motivated, highly responsible, and have good communication skills

 

Build your career at Akamai

Our ability to shape digital life today relies on developing exceptional people like you. The kind that can turn impossible into possible. We’re doing everything we can to make Akamai a great place to work. A place where you can learn, grow and have a meaningful impact.

With our company moving so fast, it’s important that you’re able to build new skills, explore new roles, and try out different opportunities. There are so many different ways to build your career at Akamai, and we want to support you as much as possible. We have all kinds of development opportunities available, from programs such as GROW and Mentoring, to internal events like the APEX Expo and tools such as Linkedin Learning, all to help you expand your knowledge and experience here.

Learn more

Not sure if this job is the right match for you or want to learn more about the job before you apply? Schedule a 15-minute exploratory call with the Recruiter and they would be happy to share more details.

 

Seeking a Software Engineer II to join the AI enablement team and develop backend services supporting enterprise AI initiatives. Responsibilities include MCP server development, AuthN/AuthZ frameworks, API governance, and orchestration platforms. This role offers real ownership of production systems and opportunities to gain expertise in a rapidly evolving area of enterprise software.