Lead Cloud Engineering and Production Operations Engineer

Key Responsibilities

• Cloud Infrastructure and Engineering Design Deploy and manage hybrid and cloud infrastructures (OCI, AWS, Azure, on-prem) to support production and enterprise systems. Implement infrastructure‑as‑code (IaC) using Terraform or Cloud Formation to ensure repeatable, secure, 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.
• Production Operations and Reliability Serve as technical lead for production systems, ensuring stability, performance, and scalability. Establish monitoring, logging, and alerting frameworks to improve visibility and reduce MTTD and MTTR. 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.
• Automation and CI/CD Enablement Develop and enhance deployment pipelines (e.g., Jenkins, Git Lab, 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 ve efficiency through self‑healing systems, auto‑scaling, and infrastructure automation.
• Operational Leadership and Collaboration 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.

• 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 or Azure (networking, compute, storage, IAM, and monitoring).
• Proven experience with production‑scale operations and hybrid cloud deployments.
• Proficiency in infrastructure‑as‑code (Terraform, Cloud Formation), CI/CD pipelines (Jenkins, Git Lab, ArgoCD), containers (Kubernetes, Docker), observability tools (Datadog, Prometheus, Grafana, ELK), and scripting languages (Python, Bash, Power Shell).
• Strong troubleshooting skills and the ability to lead through high‑impact incidents.
• Excellent communication and collaboration skills across cross‑functional teams.

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

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.

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.

Hybrid Targeted compensation guideline: $110,000 – $155,000. Compensation will vary based on number of factors, including market demand for specific skills, role type, job level, and individual qualifications. Final salary offers are determined by considerations including, but not limited to, subject matter expertise, demonstrated skill level, relevant experience, geographic location, education, certifications, and training.