Job Description

The Opportunity:

- Based in Hyderabad, join a global healthcare biopharma company and be part of a 130-year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare.
- Be part of an organisation driven by digital technology and data backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal health products.
- Drive innovation and execution excellence. Join a team that is passionate about using data, analytics, and insights to drive decision making and create custom software, allowing us to tackle some of the worlds greatest health threats.

Our Technology Centers focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of our companys IT operating model, Tech Centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy.

A focused group of leaders in each Tech Center helps ensure we can manage and improve each location, from investing in the growth, success, and well being of our people to making sure colleagues from each IT division feel a sense of belonging, to managing critical emergencies. Together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers.

Role Overview:

This role is part of a broader enterprise initiative to establish a Data Context Layer (DCL) a foundational capability designed to provide consistent, reusable, and scalable context across enterprise data products.

The DCL is intended to address challenges related to data fragmentation, lack of shared semantics, and inconsistent interpretation of data across systems and products. It establishes a unified layer for representing context, relationships, and meaning, enabling downstream products to operate with greater consistency, interoperability, and intelligence.

In addition,



the DCL plays a critical role in enabling agentic AI capabilities across the enterprise by providing the structured context and semantic grounding required for intelligent agents to operate reliably. This includes ensuring that agent-driven workflows and decisions are based on consistent, governed, and interpretable data context, reducing risks associated with fragmentation, ambiguity, and lack of control.

Within this initiative, we are seeking an API Engineer with strong experience in AWS cloud technologies to design, build, and maintain secure, scalable, and production-ready APIs that support enterprise data context services, self-service capabilities, and downstream application consumption. This role will focus on developing cloud-native API solutions that expose data, metadata, and context in reliable and reusable ways.

The ideal candidate has deep hands-on experience with API development, AWS services, distributed systems, and deployment automation. Familiarity with data context, semantic systems, ontologies, agentic AI, prompt engineering, and context engineering is preferred, as these APIs may support both human and AI-driven consumers.

What will you do:

Key Responsibilities

- Design, build, and maintain APIs that expose enterprise data context and related services.
- Develop cloud-native solutions using AWS services to support scalability, security, and reliability.
- Implement API patterns for:
- context retrieval
- data access
- enrichment
- policy-aware delivery
- versioning and compatibility
- monitoring and observability

- Partner with platform, architecture, data, and security teams to ensure APIs meet enterprise standards.
- Build and support integrations with downstream applications, services, and AI/agentic workflows.
- Ensure APIs are performant, well-documented, and production-ready.
- Work with CI/CD pipelines and deployment automation to support continuous delivery.
- Implement access control, authentication, and authorization patterns using AWS-native and enterprise-approved approaches.




- Support testing, troubleshooting, and operational readiness for API services.
- Contribute to API standards, reference implementations, and reusable code patterns.
- Help ensure APIs can serve both traditional application use cases and context delivery for AI-enabled systems.

What should you have

Required Qualifications

- 5+ years of experience in software engineering or API engineering roles.
- Strong hands-on experience building APIs in AWS cloud environments.
- Experience with AWS services such as API Gateway, Lambda, ECS/EKS, IAM, CloudWatch, S3, DynamoDB, RDS, Step Functions, or equivalent.
- Robust knowledge of RESTful APIs, service integration, authentication, and API lifecycle management.
- Experience with deployment automation, monitoring, logging, and production support.
- Ability to work closely with architecture, platform, and security teams.
- Familiarity with data context, semantic concepts, or metadata driven systems.
- Working knowledge of agentic AI, prompt engineering, and context engineering concepts.

Preferred Qualifications

- Experience with GraphQL, event driven architectures, or microservices.
- Familiarity with ontologies, OWL, RDF, knowledge graphs, MCP, A2A, or timbr-like technologies.
- Experience supporting AI or context driven applications through APIs.
- Background in enterprise data platforms or platform engineering.
- Experience with infrastructure as code, CI/CD, and observability tooling in AWS.
- Familiarity with secure service-to-service communication and API governance.

What Success Looks Like

Success in this role means:

- APIs are secure, reliable, and scalable in AWS
- enterprise context can be exposed consistently through standard interfaces
- developers and systems can easily consume the APIs
- the APIs are observable, maintainable, and production-ready
- the platform supports both application and AI/agentic use cases
- delivery teams can build on reusable API patterns instead of custom integrations

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Spclst , Software Engineering (Hyderabad)
🏢 Merck Sharp & Dohme (MSD)
📍 Hyderabad