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Custom Engineer

15 years

0 Lacs

hyderabad telangana india

Posted:1 week ago| Platform: Linkedin logo

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Skills Required

azure gcp ai ml leadership discovery drive architecture design migration optimization governance security data openai vertex engineering model deployment monitoring devops automation github code compliance iam docker kubernetes microservices analytics presentation documentation

Work Mode

On-site

Job Type

Full Time

Job Description

Senior / Lead Custom Engineer

Key Responsibilities

Customer & Technical Leadership

  • Lead end-to-end customer engagements from

    solution discovery to production deployment

  • Act as a

    trusted technical advisor

    for senior customer stakeholders and CXOs
  • Drive technical decision-making and provide architectural guidance

Cloud Architecture (Azure & GCP)

  • Architect and implement

    large-scale, secure, and highly available

    solutions on Azure and GCP
  • Design

    multi-cloud and hybrid architectures

  • Lead cloud migration, modernization, and optimization initiatives
  • Define cloud governance, security, and cost-optimization strategies

AI, Data & GenAI Solutions

  • Design and deploy

    AI/ML and Generative AI solutions

    , including:
  • Azure OpenAI, Azure AI Services, Azure ML
  • Google Vertex AI, Gemini models, BigQuery ML
  • Guide customers on

    LLM adoption, prompt engineering, RAG architectures, and AI governance

  • Oversee data pipelines, MLOps, model deployment, monitoring, and lifecycle management

DevOps, Automation & Security

  • Lead

    DevOps and MLOps

    practices using Azure DevOps, GitHub Actions, Cloud Build, and Terraform
  • Drive Infrastructure as Code, automation, and CI/CD best practices
  • Ensure enterprise-grade

    security, compliance, IAM, and data privacy

Team Mentorship & Collaboration

  • Mentor and guide junior engineers and solution teams
  • Collaborate with sales, product, and delivery teams to drive customer success
  • Review technical designs and ensure adherence to best practices

Required Skills & Qualifications

Technical Expertise

  • 8–15 years of experience in

    cloud engineering, solution architecture, or customer engineering

  • Deep hands-on experience with

    Microsoft Azure and Google Cloud Platform

  • Strong expertise in

    AI/ML and Generative AI solutions

  • Proficiency in

    Python

    , APIs, and cloud-native development
  • Strong experience with

    Docker, Kubernetes, and microservices architecture

  • Solid understanding of data platforms, analytics, and MLOps

Leadership & Communication

  • Proven experience in

    customer-facing roles

  • Ability to influence technical and business stakeholders
  • Strong presentation, documentation, and problem-solving skills

Preferred Qualifications

  • Azure Solutions Architect Expert / GCP Professional Cloud Architect certification
  • Experience with

    LLMs, OpenAI, Gemini, LangChain, or similar frameworks

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