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    Advanced Software Engr - Hyderabad, India - Honeywell

    Honeywell
    Honeywell background
    Description

    Responsibilities

    of an SRE engineer:
    • Work blamelessly, always assuming the best intentions, and finding systemic causes together.
    • Create an SRE culture that reinforces our SRE principles. Enhance and maintain uptime.
    • Celebrate failure as an investment in reliability. Learn from each one with .
    • Treat reliability as a feature. Put reliability goals in specifications right from the start.
    • Share information within the teams and organization, and work in collaboration with other teams.
    • Create on-call schedules that are empathetic and fair.
    • Monitor infrastructure using SRE tools and suggest tools as necessary.
    • Build monitoring alerts and incident response processes, using the monitoring systems (for alerting and dashboards).
    • Improve operational processes and team practices.
    • Coding infrastructure automation across the CI/CD pipeline.
    • As the solution scales, ensure reliability through designing, building, and maintaining the core infrastructure.
    • Demonstrate strong programming skills and thorough knowledge of systems.
    • Bring about cultural shifts to provide a foundation for process changes.
    • After incidents, document actions in runbooks to create automated solutions during incident response.
    • On-call rotation for incident response and proactive incident measures.
    • Administer production jobs and understand debugging info.
    • Drain traffic away from a cluster, block, or rate-limit unwanted traffic, bringing up additional serving capacity.
    • Roll back a bad software push, with minimal downtime.
    • Describe the architecture, various components, and dependencies of the services to Teams.
    • Provide visibility into the performance of the application and reduce the cost of failure to lower new feature cycle time.

    Key Skills of an SRE engineer:

    · Familiarity with at least two coding/scripting languages (Python, Go, Java, Dotnet, C, C++, PowerShell, etc).

    · Cloud competency (Microsoft Azure is preferred).

    · Deep understanding of key Azure services like Azure Kubernetes Services (AKS) , Databricks, Data Factory, API Management, Functions Apps, Application gateway, etc.

    · CI/CD process and tools (Jenkins, GitHub Actions, Azure DevOps, etc.).

    · Should have experience with Service Mesh and message broker service (Kafka).

    · Deep understanding of containerization approach – Docker , Helm , Kubernetes .

    · IaC tools (Ansible, Terraform , Chef, Puppet etc).

    · Webserver (Apache HTTP and Nginx)

    · Version control (Git, GitHub, BitBucket).

    · Experience in Infrastructure Monitoring (Datadog, Prometheus , Grafana , etc.)

    · Experience in Log and performance monitoring (Splunk, ELK , New Relic, etc.)

    · Deep understanding of Databases (SQL, NoSQL, Postgres Flexi Server, etc.)


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