Lead Cloud Engineering and Production Operations Engineer

A10 Networks, Inc; San Francisco (CA); On-site; USD 110,000 - 155,000; Full time

Job summary

A leading tech company based in San Francisco, CA is seeking a Lead Cloud Engineering and Production Operations Engineer. This hands-on leadership role focuses on driving cloud engineering initiatives, automating infrastructure, and ensuring high availability across systems. The ideal candidate has 7+ years in cloud infrastructure with expertise in OCI or AWS, and strong skills in CI/CD, DevOps, and infrastructure automation. Targeted compensation ranges from $110,000 to $155,000 depending on experience and qualifications.

Qualifications

• 7+ years of experience in cloud and infrastructure engineering.
• Deep expertise in OCI (preferred) or AWS/Azure.
• Proven experience with production-scale operations.

Responsibilities

• Design, deploy, and manage hybrid and cloud infrastructures.
• Implement infrastructure-as-code using Terraform or CloudFormation.
• Develop and maintain CI/CD-ready environments.

Skills

Infrastructure-as-code (Terraform, CloudFormation)

CI/CD and DevOps pipelines (Jenkins, GitLab, ArgoCD)

Containers and orchestration (Kubernetes, Docker)

Observability tools (Datadog, Prometheus, Grafana, ELK)

Scripting languages (Python, Bash, PowerShell)

Strong troubleshooting skills

Excellent communication and collaboration skills

Education

Bachelor’s degree in Computer Science, Information Systems, or equivalent experience

Tools

Terraform

CloudFormation

Jenkins

GitLab

ArgoCD

Kubernetes

Docker

Datadog

Prometheus

Grafana

ELK

Ansible

Chef

Puppet

Job description

Lead Cloud Engineering and Production Operations Engineer

Apply for the Lead Cloud Engineering and Production Operations Engineer role at A10 Networks, Inc. This role acts as a hands‑on technical lead, driving cloud engineering initiatives, automating infrastructure, and ensuring high‑availability and performance across customer‑facing systems. The Lead Engineer will collaborate with IT, DevOps, and Software Engineering teams to build secure, scalable environments that support continuous delivery and rapid innovation.

Key Responsibilities

• Design, deploy, and manage hybrid and cloud infrastructures (OCI, AWS, Azure, on‑prem) to support production and enterprise systems.
• Implement infrastructure‑as‑code using Terraform or CloudFormation to ensure repeatable, secure, and automated deployments.
• Develop and maintain CI/CD‑ready environments that support rapid build, test, and release cycles for engineering teams.
• Partner with network and security teams to implement resilient, compliant architectures.
• Serve as technical lead for production systems, ensuring stability, performance, and scalability.
• Establish monitoring, logging, and alerting frameworks to improve visibility and reduce mean time to detection and resolution.
• Participate in incident response, root cause analysis, and reliability improvement efforts.
• Collaborate with Engineering and SRE teams to define SLIs, SLOs, and performance metrics for critical services.
• Develop and enhance deployment pipelines (e.g., Jenkins, GitLab, ArgoCD) to automate software delivery and environment provisioning.
• Embed security, compliance, and testing gates into CI/CD workflows.
• Implement configuration management and orchestration tools such as Ansible, Chef, or Puppet to manage infrastructure at scale.
• Drive efficiency through self‑healing systems, auto‑scaling, and infrastructure automation.
• Lead day‑to‑day production operations activities, mentoring junior engineers on cloud and reliability best practices.
• Act as a technical bridge between Infrastructure, Security, and Application Engineering teams.
• Contribute to capacity planning, cost optimization, and production readiness reviews.
• Maintain documentation, runbooks, and standard operating procedures for production systems.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, or equivalent experience.
• 7+ years of experience in cloud and infrastructure engineering, with at least 2–3 years in a lead or senior engineer capacity.
• Deep expertise in OCI (preferred) or AWS/Azure (networking, compute, storage, IAM, and monitoring).
• Proven experience with production‑scale operations and hybrid cloud deployments.
• Proficiency in:
  • Infrastructure‑as‑code (Terraform, CloudFormation)
  • CI/CD and DevOps pipelines (Jenkins, GitLab, ArgoCD)
  • Containers and orchestration (Kubernetes, Docker)
  • Observability tools (Datadog, Prometheus, Grafana, ELK)
  • Scripting languages (Python, Bash, PowerShell)
  • Strong troubleshooting skills and the ability to lead through high‑impact incidents
  • Excellent communication and collaboration skills across cross‑functional teams

Preferred Experience

• Experience supporting high‑availability SaaS or production environments.
• Knowledge of FinOps, cloud governance, and cost optimization practices.
• Familiarity with DevSecOps principles, Zero Trust, and automated compliance frameworks.
• Exposure to AI/ML pipeline infrastructure or high‑throughput data systems.

Why Join Us

This is a hands‑on leadership role for an engineer who thrives at the intersection of cloud architecture, automation, and reliability. As the Lead Cloud Engineering and Production Operations Engineer, you’ll have direct impact on how the company delivers, scales, and secures its core technology platforms—enabling speed, stability, and innovation across the enterprise.

Equal Opportunity Employer

A10 Networks is an equal opportunity employer and a VEVRAA federal subcontractor. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. A10 also complies with all applicable state and local laws governing nondiscrimination in employment.

Targeted compensation guideline: $110,000 - $155,000. Compensation will vary based on market demand for specific skills, role type, job level, and individual qualifications.