Senior DevOps Engineer
Full-time
AppViewX
Responsibilities
- Architect and deliver scalable, secure, reliable SaaS platform solutions with Product Engineering teams.
- Own DevOps and platform engineering initiatives from design through production readiness.
- Design AI-driven automation, AIOps capabilities, self-healing infrastructure, automated recovery, and AI-assisted CI/CD workflows.
- Drive Kubernetes reliability, predictive scaling, capacity planning, and intelligent resource management.
- Define automation patterns and operational standards across AWS, Azure, and GCP.
- Establish standards for platform reliability, scalability, performance, security, cost efficiency, and operational excellence.
- Provide technical leadership for platform components and strategic DevOps projects, including planning, prioritization, milestones, risk management, and delivery.
- Partner across Product, Engineering, Security, SRE, and customer-facing teams to translate operational challenges into scalable platform designs and roadmaps.
- Evaluate emerging DevOps and AI-driven operational technologies and guide production adoption.
Requirements
- 5–10 years of professional experience.
- Strong Linux/Unix administration skills, preferably with Red Hat or Ubuntu.
- Strong Python programming skills for maintainable automation frameworks and production-quality code review.
- Hands-on experience with AWS, Azure, and/or GCP.
- Deep understanding and hands-on production experience operating Kubernetes platforms, including architecture, operations, networking, storage, and security.
- Advanced experience with Helm, Terraform, and reusable Infrastructure as Code patterns.
- Hands-on GitOps experience with Argo CD, Flux CD, or equivalent tools.
- Strong experience designing and governing CI/CD platforms using Jenkins, GitLab CI/CD, or equivalent tools.
- Experience implementing secure automation, quality controls, policy enforcement, and release governance in CI/CD workflows.
- Strong understanding of microservices, distributed systems, failure modes, and resilient design patterns.
- Experience with observability platforms and standards including Prometheus, Grafana, ELK, and OpenTelemetry.
- Advanced troubleshooting and root cause analysis skills in distributed cloud-native environments.
- Experience architecting or operating highly available, resilient, and recoverable systems.
- Working knowledge of AI/ML platforms, Generative AI infrastructure, model observability, and safe operational integration.
- Strong knowledge of DevSecOps, supply chain security, secrets management, vulnerability management, and security automation frameworks.
Vacancy posted 3 hours ago
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