DevOps Architect

• 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.

• 12–18 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:

• Bachelor’s or Master’s 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.