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    Job · 22367620

    GS1 India logo

    Principal - SAP Infrastructure Engineer

    GS1 India · Bengaluru · onsite · Posted 2d ago

    Undisclosed5–7 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    Job Summary
    The SAP Infrastructure Engineer builds and runs both the Cloud and On-Prem SAP Infrastructure platform as automated, secure, self-service infrastructure. The role works through infrastructure-as-code and golden paths rather than manual configuration, uses AI-assisted engineering across code generation, review and testing, and engineers reliability in automating away toil.
    This is the senior hands-on engineering role in the platform team, insourced at the grades covered by this description while engineering at G7b and below is delivered through managed service partners, so the role integrates and assures partner components as well as building. Engineering roadmap and direction sit with the Engineering Director, reference architecture and standards sit with the Platform Architect, backlog order sits with the Product Owner, and deep reliability engineering sits with the Site Reliability Engineer deployed from Reliability Engineering Operations.


    Key Responsibilities
    • Build and automate platform infrastructure using infrastructure-as-code and golden paths, so that provisioning is repeatable rather than reconstructed each time.
    • Use AI-assisted engineering across code generation, review and testing to accelerate delivery and raise quality, reviewing AI-generated output before it is merged.
    • Build self-service capabilities and paved roads that reduce friction for consuming teams, so adoption does not depend on the platform teams availability.
    • Engineer for reliability by defining SLOs, instrumenting platforms for observability and automating to reduce toil, working with the Site Reliability Engineer on standards.
    • Adopt engineering standards, secure-by-default practices and code quality within the platform, and hold them in code review.
    • Contribute to incident response and drive permanent automated fixes with Reliability Engineering rather than repeating manual recovery.
    • Work with principal engineers and partner engineers, linking engineering work to platform OKRs and outcomes.
    • Work the platforms manual task and toil backlog, converting identified candidates into automation and evidencing the effort removed.
    • Close observability coverage gaps for the platform, so that reliability can be measured rather than inferred.
    • Contribute engineering-led items to the platform backlog held by the Product Owner, including technical debt, upgrade and automation work, with the cost of not doing them stated.
    • Apply the reference architectures and patterns set by the Platform Architect, and raise a case for change rather than diverging locally.


    Education Professional Qualifications
    • Degree in a technology or engineering discipline, or equivalent practical experience (e.g., Computer Science, Software Engineering, Electronics).
    • Relevant technical certifications desirable (e.g., a recognised cloud certification for AWS, GCP or Azure, Certified Kubernetes Administrator, or a network vendor certification relevant to the platform).


    Related Experience Required
    • Overall 10 Years and typically 5-7 years in platform, infrastructure or software engineering, including at least two years as the senior technical voice in a team.
    • Experience in cloud infrastructure management, preferably with ERP systems. Strong knowledge of SAP hosted on either Azure or Google Cloud. Strong knowledge of SAP hosted on VMware
    • Practical experience of infrastructure-as-code, for example Terraform, applied to production estates rather than proofs of concept.
    • Track record building self-service capability that other teams adopted without hand-holding.
    • Experience instrumenting for observability, defining SLOs and reducing toil through automation.
    • Experience with AI-assisted engineering tooling, including judgement about when generated output is not fit to merge.


    Skills/Background
    • Automation-first instinct, treating a repeated manual task as a defect rather than as work.
    • Code review discipline, holding quality without becoming a bottleneck.
    • Mentoring ability with engineers of varying experience, including partner engineers outside the line.
    • Judgement about when AI-generated code is fit to merge and when it is not.
    • Customer mindset toward consuming teams, who can route around a platform that is hard to use.
    • Willingness to make technical debt and its cost visible rather than absorbing it silently.


    Skills
    • API Management
    • Automation Technology
    • Cloud Architectures
    • Cloud Financial Operations
    • Containerization
    • Database Management
    • DevOps
    • Disaster Recovery (DR)
    • Edge Computing
    • Infrastructure As Code (IaC)
    • Kubernetes
    • Networking Concepts
    • Performance Optimizations
    • Platform Engineering
    • SAP on Azure
    • Serverless Computing
    • System Monitors
    • Technical Leadership
    • Terraform (Software)
    • Virtualization


    Disclaimer: This job posting and Location 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.

    Sourced from naukri

    Skills

    AutomationDevopsDockerApi ManagementCode Reviewcloud certificationDebtcode qualityDisaster recoveryamazon web servicesAutomatingedge computingCloud InfrastructureDatabase ManagementcloudERPArchitectureMicrosoft AzureArtificial Intelligence

    About GS1 India

    GS1 India logo

    GS1 India

    Non-Profit

    25

    employees

    1996

    30 years old

    New Delhi, Delhi

    India

    ₹17L PA avg

    Avg at GS1 India

    About

    GS1 India enhances supply chain efficiency and regulatory compliance by implementing global standards for product identification and traceability.

    Industries

    Non-Profit

    Employee ratings

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    2.4/ 5

    Culture

    1.9

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    1.8

    Work-life

    2.2

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