
Devops Architect
2 weeks ago
JOB DESCRIPTION
Zycus is looking for we're looking for a DevOps Architect who not only brings deep expertise in modern cloud infrastructure and
automation but also has an evolving acumen in AI-driven DevOps practices (AIOps) to transform how we build, monitor, and operate at scale. As a DevOps Architect, you will be responsible for designing and implementing scalable, secure, and intelligent automation frameworks for cloud infrastructure and deployments. You will play a pivotal role in improving reliability, observability,
performance, and cost optimization, while also integrating AI and ML techniques into DevOps processes to drive proactive operations and self-healing systems.
Roles and Responsibilities:
- Architect end-to-end DevOps solutions leveraging AWS, HashiCorp stack (Terraform, Packer, Nomad), and Kubernetes for scalable cloud operations.
- Build intelligent CI/CD pipelines and infrastructure automation using Python and Ansible, integrating AI/ML for anomaly detection, predictive scaling, and auto-remediation.
- Design and implement AIOps capabilities for proactive monitoring, root cause analysis, and noise reduction using logs, metrics, and traces.
- Drive adoption of Infrastructure-as-Code (IaC), GitOps, and event-driven automation across all environments.
- Collaborate with SREs, developers, and QA to embed intelligent automation and observability early into the SDLC.
- Lead cost analysis and optimization strategies leveraging both DevOps tooling and AI insights.
- Manage and modernize systems around load balancers, proxies, caching, messaging queues, and secure APIs. Evaluate and implement AI-based toolchains or build custom scripts/models to optimize deployment health and reliability.
- Establish standards for security, governance, and compliance in infrastructure and DevOps processes.
- Mentor junior DevOps engineers and drive a culture of innovation, learning, and continuous improvement.
EXPERTISE AND QUALIFICATIONS
- 1218 years of total experience with strong DevOps and cloud infrastructure background.
- Hands-on experience with AWS services and APIs, including deployment, automation, and monitoring.
- Proficiency with Terraform, Packer, Nomad, and container orchestration using Kubernetes and Docker.
- Strong scripting expertise in Python and Ansible with experience in developing automation frameworks.
- Proven track record of building scalable, reliable, and secure infrastructure for SaaS applications. Working knowledge of AIOps tools or concepts such as log/metric analysis using ML models, predictive alerting, anomaly detection, etc.
- Strong understanding of SDLC, CI/CD pipelines, and DevOps governance.
- Experience with system components like web servers, proxies, queues, and caching mechanisms.
- Excellent problem-solving and architectural design skills.
Strong leadership qualities with experience mentoring cross-functional teams.
Preferred Qualifications:
- Bachelors or Masters in Computer Science, Information Technology, or related field.
- Exposure to tools like Datadog, Prometheus, Grafana, New Relic, or AI-native observability platforms.
- Experience working in product-based or SaaS organizations.
- AWS DevOps Engineer or Solutions Architect certifications are a plus.
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