AppOpps Engineer
Berkeley Heights: NJ (5days Onsite)
Contract
$50-55/hr. W2 max
Please look for Devops + SRE exp.
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.
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Key Responsibilities
- GCP 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
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.