AppOpps Engineer

AppOpps Engineer

Berkeley Heights: NJ (5days Onsite)

Contract

Job Summary  –  AppOpps Engineer

We are seeking a AppOpps Engineer Resource having 8 years of professional experience ensuring the reliability, scalability, and performance of Google Cloud-based services through automation, monitoring, and proactive engineering. Key responsibilities include managing infrastructure as code (Terraform), optimizing GKE/Kubernetes, incident response, and implementing SLIs/SLOs to minimize manual toil.

This role requires close collaboration with cross functional teams, adherence to DevOps and Agile practices, and ownership of service quality and delivery.

Key Responsibilities

•              Google Cloud Platform Infrastructure Management: Design, deploy, and maintain robust infrastructure components, including VPCs, Compute Engine, GKE (Kubernetes), and storage solutions.

•              Automation & IaC: Utilize Terraform or Deployment Manager to manage cloud resources and build CI/CD pipelines to automate deployments. Minimizing manual, repetitive tasks by developing automation scripts and custom tools to streamline deployments and operations.

•              Observability & Incident Management: Develop monitoring, alerting, and logging systems (e.g., Cloud Monitoring, Prometheus, Grafana). Act as primary on-call to troubleshoot production incidents.

•              Incident Management: Serving as a first respon             der for system outages and conducting deep-dive root cause analysis (post-mortems) to prevent recurrence

•              CI/CD Pipeline Management: Designing and supporting automated deployment pipelines using Jenkins, ArgoCD, Artifactory, DevSecOps, GitLab CI, or GitHub Actions

•              Reliability Engineering: Define and maintain Service Level Indicators (SLIs) and Service Level Objectives (SLOs) - Latency, Traffic, Errors, and Saturation

•              Functional Domain: Define the pipeline with good understanding of Credit Card processing, Payment transaction

•              Payload: Define automated pipeline applicable to credit card processing for Day-0, Daily basis, and set frequency. Analyse, Triage, Fix and reload payload.

•              Optimization & Security: Proactively optimize infrastructure for cost, performance, and security compliance.

•              Site Reliability Engineer, Google Cloud Engine AI SRE at Google: Focus specifically on AI workload health, and GCE visibility

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Mandatory Technical Skills & Competencies

•              Experience: 8 years in SRE, DevOps, or systems engineering, specifically with Google Cloud Platform.

•              Technical Skills: Deep knowledge of Linux, Kubernetes (GKE), networking (VPCs, CDNs), and containerization.

•              Programming: Proficiency in scripting/programming languages like Python, Go, or Shell.

•              Methodologies: Strong understanding of GitOps, CI/CD pipelines, and SRE principles (error budgets, toil reduction)

•              Strong troubleshooting skills across the full stack (network, OS, application).

•              Ability to balance system stability with the need for rapid deployment.

•              Observability Tools: Experience implementing monitoring and logging stacks like Prometheus, Grafana, or the Google Cloud Operations Suite

•              Excellent collaboration skills to work with development teams for service ownership

Soft Skills

•              Strong problem-solving and analytical skills

•              Clear communication with technical and non technical stakeholders

•              Ownership mindset and production grade engineering discipline

•              Ability to work independently and within cross functional teams

Salary : $50 - $60