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A10 Networks, Inc

Principal Cloud Engineering and Production Operations Engineer

A10 Networks, Inc, San Francisco, California, United States, 94199

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Principal Cloud Engineering and Production Operations Engineer Join to apply for the

Principal Cloud Engineering and Production Operations Engineer

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A10 Networks, Inc

The Principal Cloud and Production Operations Engineer serves as the senior technical authority responsible for architecting, automating, and optimizing hybrid and cloud-native production environments that power critical customer‑facing services and enterprise applications. This role combines deep cloud infrastructure expertise with strong production reliability and operational engineering skills. The Principal Engineer acts as both architect and hands‑on builder, ensuring scalability, resilience, and security across multi‑cloud and on‑prem environments. Reporting to the Associate Director of IT and Infrastructure, this position will collaborate closely with Engineering, DevOps, Security, and IT Operations to drive a culture of automation, observability, and continuous improvement across the production ecosystem.

Key Responsibilities Cloud Architecture and Engineering

Design, implement, and maintain cloud and hybrid infrastructure supporting production workloads, enterprise systems, and CI/CD pipelines

Lead the adoption of infrastructure-as-code (IaC) using Terraform, CloudFormation, or similar tools to enable repeatable, auditable, and secure deployments

Architect scalable and fault‑tolerant solutions across OCI, AWS, Azure, and on‑prem data centers, ensuring high availability and cost efficiency

Evaluate emerging cloud services and technologies for applicability to business needs and long‑term scalability goals

Production Operations and Reliability

Serve as the technical lead for production operations, ensuring uptime, performance, and reliability of customer‑facing and internal systems

Develop and maintain observability frameworks leveraging metrics, logs, and traces to ensure proactive detection and rapid response

Partner with engineering teams to implement SRE‑inspired practices, including service level objectives (SLOs), error budgets, and post‑incident reviews

Drive root cause analysis, performance tuning, and continuous improvement of production services

Automation and CI/CD Enablement

Collaborate with DevOps and application engineering teams to build and optimise automated deployment pipelines supporting frequent, low‑risk releases

Integrate security and compliance checks into CI/CD workflows to ensure production readiness and alignment with internal standards

Design self‑healing infrastructure and automated rollback mechanisms to reduce operational risk

Ensure secure and reliable configuration management and environment orchestration using tools such as Ansible, Chef, or Puppet

Operational Governance and Collaboration

Establish and enforce operational best practices for monitoring, patching, and change management across production systems

Lead production readiness reviews for new releases and large‑scale changes

Collaborate with the Security and Compliance teams to ensure systems adhere to policy, hardening standards, and regulatory requirements

Participate in and occasionally lead on‑call rotations for critical production systems, ensuring rapid triage and resolution

Leadership and Mentorship

Act as a technical mentor to cloud and infrastructure engineers, fostering a culture of knowledge sharing and engineering excellence

Lead architectural reviews, design sessions, and capacity planning discussions

Serve as a trusted advisor to management on cloud modernization, resilience engineering, and cost optimisation strategies

Qualifications

Bachelor’s degree in Computer Science, Information Systems, or related field; Master’s preferred

10+ years of experience in cloud and infrastructure engineering, including 3+ years in a senior or principal role

Expertise with OCI (preferred), AWS and/or Azure cloud services, including networking, compute, storage, and identity management

Proven experience managing production‑scale environments supporting mission‑critical applications and services

Strong proficiency in:

Infrastructure‑as‑code (Terraform, CloudFormation)

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

Container orchestration (Kubernetes, Docker)

Monitoring and observability platforms (Prometheus, Grafana, Datadog, ELK)

Scripting and automation (Python, Bash, PowerShell)

Solid understanding of security, compliance, and networking principles in hybrid environments

Exceptional analytical, problem‑solving, and incident management skills

Demonstrated ability to lead complex, cross‑functional initiatives from concept to execution

Preferred Experience

Experience in high‑availability SaaS or networking environments

Knowledge of FinOps, cost optimisation, and multi‑cloud governance frameworks

Familiarity with Zero Trust, identity federation, and cloud access security model

Exposure to AI/ML infrastructure or data‑driven pipelines is a plus

Why Join Us This is a hands‑on leadership opportunity to define the next generation of cloud and production operations within a high‑impact technology environment. The Principal Cloud and Production Operations Engineer will directly influence the reliability, speed, and scalability of the company’s global technology platforms, ensuring operational excellence and innovation.

A10 Networks is an equal opportunity employer and a VEVRAA federal subcontractor. All qualified applicants will receive consideration for employment without regard to race, colour, 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 $140,000 - $185,000. 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.

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