Job Description: DevOps SSE (8+ Years Experience)
Role Overview
We are seeking a highly skilled DevOps SSE with 8+ years of overall IT experience to design, implement, and govern scalable, secure, and costefficient cloud and DevOps architectures. The ideal candidate will have deep expertise across AWS and Azure, strong hands-on experience with Kubernetes, Terraform, and a solid understanding of cloud governance, IAM design, cost optimization, and observability. This role requires architectural leadership across multiple projects and close collaboration with development, security, and operations teams.
Key Responsibilities
Required Skills & Experience
Experience
- 8+ years of overall IT experience
- 6+ years in DevOps / Cloud Architecture roles
- Proven experience designing enterprisescale, productionready cloud platforms
- Handson experience applying AIassisted tools or AIOps capabilities in DevOps, cloud operations, observability, security, or cost optimization
- Experience integrating automation and intelligence across CI/CD, infrastructure, and operations workflows
- Experience working with Copilot
Technical Skills
Cloud Platforms
- AWS and Microsoft Azure (compute, networking, storage, security services)
- Designing AIready cloud architectures with telemetry, automation hooks, and scalable data pipelines
Containers & Orchestration
- Kubernetes (EKS, AKS)
- AIdriven auto scaling inputs, workload optimization, and intelligent scheduling concepts
Infrastructure as Code & Intelligent Automation
- Terraform (enterprisescale IaC)
- AIassisted validation of IaC (policy enforcement, drift detection, misconfiguration analysis)
- Automated remediation and selfhealing infrastructure patterns
DevOps & CI/CD
- CI/CD pipelines with Gitbased workflows and GitOps
- AIassisted: Code and pipeline reviews
- Intelligent test selection and quality gates
- Deployment risk analysis and change impact prediction
- Automated security, compliance, and policy enforcement in pipelines
Programming & Scripting
- Python (automation, integrations, AIassisted tooling)
- Node.js (application and platform integration)
- Ability to consume AI/ML APIs and SDKs for automation, analysis, or operational intelligence
Observability, AIOps & Reliability
- Monitoring, logging, and tracing tools:
- Prometheus, Grafana, CloudWatch, Azure Monitor
- AIOps capabilities including:
- Anomaly detection
- Alert noise reduction and correlation
- AI assisted root cause analysis
- Defining and tracking SLOs, SLIs, and reliability signals enriched with AI insights
Security, IAM & AIDriven Governance
- Cloud IAM design (RBAC, least privilege, identity federation)
- AI assisted: Security posture monitoring
- Misconfiguration detection
- Threat and anomaly analysis
- Automated compliance monitoring and policy enforcement
- Cost Optimization (FinOps + AI)
- FinOps practices and cloud cost governance
- AIdriven: Cost anomaly detection
- Usage forecasting
- Resource rightsizing recommendations
- Enforcing cost controls through automation and intelligent guardrails
AI & Platform Intelligence (Core Expectation)
- Practical experience using AI copilots or AIassisted tools for:
- Infrastructure design
- Troubleshooting and incident analysis
- Knowledge discovery and documentation
- Understanding of AIOps concepts, AIaugmented DevOps workflows, and intelligent cloud operations
- Ability to evaluate, adopt, and integrate emerging AI tools responsibly in enterprise environments
Leadership & Collaboration
- Mentor DevOps engineers and cloud teams.
- Collaborate with application, data, security, and infrastructure teams.
- Contribute to technical roadmaps, best practices, and standards documentation
Good to Have
- Multi-account / multi-subscription cloud strategy experience.
- Experience with service mesh, API gateways, and event-driven architectures.
- Exposure to compliance frameworks (ISO, SOC2, etc.).
- Cloud certifications (AWS Solutions Architect, Azure Solutions Architect, Kubernetes certifications).
- Experience working with AI tools.
