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 ________________________________________

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