Database/Compute -Sr. Engineer

PepsiCo · Hyderabad

  • Experience2–7 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Levelmid
  • Posted9 Sept 2026
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About PepsiCo

PepsiCo is hiring in Hyderabad in consumer goods. This role looks for around 2+ years of experience.

Skills

  • Ansible
  • Python
  • SQL
  • Machine Learning
  • Deep Learning
  • Generative AI
  • LLMs
  • RAG Architecture
  • LangChain
  • LangGraph
  • LlamaIndex
  • Vector Databases
  • OpenSearch
  • Pinecone
  • Chroma DB
  • FAISS
  • AWS Bedrock
  • Amazon SageMaker
  • AWS Lambda
  • Amazon ECS
  • Amazon EKS
  • MLOps
  • CI/CD
  • GitHub
  • Azure DevOps
  • REST APIs
  • Microservices

The role

A generative AI and infrastructure automation engineer at a consumer goods company builds Ansible automation, RAG pipelines, and scalable data pipelines for enterprise operations. The role develops production-ready LLM solutions, integrates cloud infrastructure and operational workflows, and applies Python and AWS services to automate compute and database environments.

Full job description

Overview

Develop and maintain robust Ansible-based automation frameworks for provisioning, configuration, patching, and operational tasksDesign and build reusable, modular Ansible roles and playbooks to ensure consistency, scalability, and maintainabilityImplement idempotent automation with proper error handling, conditional execution, and logging to ensure reliable production workflowsManage source control, branching strategies, and CI/CD integrations using Azure Repos and GitHubOptimize existing Ansible code for performance and efficiency by reducing unnecessary API calls, leveraging native modules, and minimizing reliance on raw Linux/command-based executionDesign and implement enterprise-scale DevOps and automation architecture across cloud and infrastructure environmentsIntegrate automation workflows with ServiceNow for ticket-driven execution, updates, and operational alignmentUnderstand connection handling, authentication, and credential management for database-integrated applicationsAssist in implementing and validating database monitoring, alerting, and logging integrationsContribute to automation of routine database operational tasks where applicable (e.g., validation, status checks, reporting)Collaborate with cross-functional teams (infra, cloud, application, and service management teams) to drive automation adoptionImplement alert-based automation for both compute and database environments, enabling automated response to events such as failures, threshold breaches, and health issuesFamiliarity with leveraging AI assistants, copilots, or automation insights to optimize DevOps workflows, troubleshooting, and operational dashboardsDesign and develop end-to-end Generative AI solutions using LLMs.Build and optimize RAG pipelines utilizing vector databases and enterprise knowledge sources.Fine-tune, evaluate, and deploy foundation models for domain-specific use cases.Develop scalable data pipelines for ingestion, transformation, embedding generation, and retrieval.Implement prompt engineering, agentic workflows, and AI orchestration frameworks.

Responsibilities

Accelerate infrastructure provisioning and operational workflows through automation.Reduce manual effort through AI-powered operational intelligence. Improve incident response using event-driven automation.Enable enterprise knowledge discovery through RAG-based AI assistants. Deliver scalable, secure, and production-ready Generative AI solutions that drive measurable business value.

Qualifications

Bachelor's in Data Science, Artificial Intelligence, Engineering, or related fieldPython, SQL Machine Learning & Deep Learning Generative AI & LLMs RAG Architecture LangChain, Lang Graph, LlamaIndexVector Databases (OpenSearch, Pinecone, Chroma DB, FAISS)AWS Bedrock, Sage Maker, Lambda, ECS/EKSMLOps & CI/CDGitHub, Azure DevOpsREST APIs and Microservices