Platform Engineer, Data Context Layer

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 world's 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 company's 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 a Platform Engineer with strong experience in AWS cloud technologies and TIMBR-like tools to build and operate the platform capabilities that enable enterprise teams to publish, serve, and consume standardized data context at scale. This role focuses on the underlying infrastructure, automation, and operational components that support context pipelines, semantic services, APIs, knowledge graphs, and self-service consumption.

The ideal candidate has hands-on experience in platform engineering, cloud infrastructure, automation, and production operations, with familiarity in data context, semantic platforms, ontologies, agentic AI, prompt engineering, and context engineering. The role is highly technical and oriented toward reliable, scalable, and secure platform delivery.

What will you do:

Key Responsibilities

• Build and maintain platform services and infrastructure supporting enterprise context-serving capabilities.
• Develop automation for provisioning, deployment, scaling, and lifecycle management of platform components.
• Support workloads in AWS and/or TIMBR-like environments used for semantic data access and context delivery.
• Implement and operate shared services for:
  • compute and storage
  • identity and access control
  • monitoring and logging
  • CI/CD and release automation
  • configuration and secrets management
  • backup, recovery, and resilience
• Collaborate with architecture, data engineering, graph engineering, ontology, and product teams to support platform requirements.
• Ensure platform components are secure, observable, scalable, and production-ready.
• Support development-to-production workflows for APIs, pipelines, graph assets, and context services.
• Troubleshoot infrastructure and platform issues, and contribute to root cause analysis and remediation.
• Define and maintain platform standards, reusable patterns, and operational runbooks.
• Help ensure the platform can support both traditional enterprise applications and agentic AI workflows that rely on trusted context.

What should you have

Required Qualifications

• 5+ years of experience in platform engineering, cloud engineering, infrastructure engineering, or DevOps roles.
• Strong hands-on experience with AWS cloud technologies.
• Experience building automation and operating production platform services.
• Familiarity with TIMBR or TIMBR-like tools or similar semantic/context-serving environments.
• Strong understanding of cloud networking, security, monitoring, and deployment patterns.
• Experience working with CI/CD pipelines, infrastructure as code, and operational tooling.
• Familiarity with data context, semantic systems, ontology-driven platforms, or knowledge graphs.
• Working knowledge of agentic AI, prompt engineering, and context engineering concepts.

Preferred Qualifications

• Experience with AWS services such as EC2, ECS, EKS, Lambda, S3, IAM, CloudWatch, CloudFormation, CDK, or Terraform.
• Familiarity with RDF, OWL, SPARQL, knowledge graphs, or ontology-based data platforms.
• Experience supporting API platforms, data pipelines, or semantic infrastructure.
• Background in observability, SRE practices, incident management, and capacity planning.
• Experience operating in enterprise or regulated environments.
• Familiarity with zero-trust security patterns and service-to-service authentication.

What Success Looks Like

Success in this role means:

• platform services are stable, secure, and scalable
• teams can deploy and operate context-serving capabilities with minimal friction
• AWS and TIMBR-like components integrate cleanly and reliably
• operational visibility and automation reduce support burden
• the platform supports both enterprise and AI/agentic use cases
• the environment is production-ready, maintainable, and easy to evolve

Who we are:

We are known as Merck & Co., Inc., Rahway, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, we have been medicines and vaccines for many of the world's most challenging diseases. Today, our company continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world.

What we look for:

Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us—and start making your impact today.

#HYDIT2025

Required Skills:

Amazon Web Services (AWS), Automation, Cloud Engineering, Cloud Infrastructure, Cloud Technology, Context Mapping, Data Engineering, Data Visualization, Design Applications, Incident Management, Infrastructure As Code (IaC), Platform Engineering, Prompt Engineering, Shared Services, Software Configurations, Software Development, Software Development Life Cycle (SDLC), Solution Architecture, System Designs, System Integration, Testing

Preferred Skills:

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Current Contingent Workers apply HERE

Search Firm Representatives Please Read Carefully 
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company.  No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. 

Employee Status:

Regular

Relocation:

VISA Sponsorship:

Travel Requirements:

Flexible Work Arrangements:

Not Applicable

Shift:

Valid Driving License:

Hazardous Material(s):

Job Posting End Date:

07/3/2026

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