Senior Devops Engineer
American Inferenceghaziabad, uttar pradesh, in1 day ago
Job descriptionDesign and manage Azure Kubernetes Service (AKS) clusters for production workloads. Configure Azure networking components – VNets, Application Gateway, NSG, Load Balancing. Build and maintain Dockerized microservices and Helm chart deployments. Implement Infrastructure as Code (IaC) using Terraform for modular, reusable infrastructure. Build GitHub Actions workflows for automated testing, building, and deployment. Implement blue-green and canary deployments for zero-downtime releases. Create automated rollback mechanisms and optimize build & deployment pipelines. Implement Prometheus, Grafana, ELK / Datadog for system monitoring. Define alerting thresholds and dashboards for uptime and performance metrics. Lead incident response, root cause analysis, and post-mortem documentation. Architect solutions for real-time WebSocket scalability across thousands of users. Implement auto-scaling policies (Kubernetes HPA, cluster autoscaler). Optimize infrastructure to reduce cloud costs by 20–30%. Implement secrets management with Azure Key Vault or HashiCorp Vault. Enforce container security, network segmentation, and access control. Support SOC 2, HIPAA, and CMMC L2 compliance initiatives. Work closely with the Solutions Architect and developers to ensure release reliability. Mentor junior team members and document DevOps best practices. Participate in on-call rotations and improve operational excellence. Azure Kubernetes Service (AKS) cluster management Docker, Helm, Terraform (Infrastructure as Code) CI / CD pipelines (GitHub Actions, Jenkins, GitLab CI / CD) Prometheus / Grafana / ELK Stack Azure Networking (NSG, VNet, Load Balancer, App Gateway) Secrets Management (Azure Key Vault / HashiCorp Vault) SQL / WebSocket scalability knowledge ArgoCD / Flux (GitOps) KEDA (Event-Driven Autoscaling) OpenTelemetry (Distributed Tracing) Istio / Linkerd (Service Mesh) Python or Go scripting FinOps and Azure Cost Management UG : B.Tech / B.E. – Computer Science / Information Technology PG : M.Tech / M.E. / Any Postgraduate (preferred) Impact : You'll have significant influence on the overall architecture and scalability of our products and the solutions we provide to a diverse set of clients. Growth : Opportunities to lead team(s) as our organization expands. Learning : Work with the latest in Azure, Kubernetes, and AI infrastructure. Culture : Flat hierarchy, collaborative, and outcome-driven team.
About the Company
We are an AI and Data Consulting Startup transforming how businesses leverage technology through four core service lines :
- Consulting Services : AI Strategy, Automation, and Digital Transformation for enterprises.
- SaaS Platform Development : Building a business application suite similar to Odoo and Zoho that is AI-native and user friendly.
- Data Lakehouse Solutions : Unified data pipelines for aggregation, cleaning, governance, and advanced analytics.
- Government Contracting : Developing secure, compliant AI solutions for the public sector.
Our tech stack includes Python, TypeScript, React, Next.js, Go, Rust, Azure, Kubernetes, Spark, MLflow, Postgres, graph databases, and vector stores.
We're a small, fast-moving team delivering enterprise-grade solutions with startup agility.
Role Overview
We are seeking a Senior DevOps / Site Reliability Engineer to design, scale, and optimize our cloud infrastructure. You'll directly influence our system reliability, deployment velocity, and security posture.
Roles & Responsibilities
Infrastructure & Cloud Management
CI / CD Pipeline & Deployment Automation
Monitoring, Observability & Reliability
Performance, Scalability & Cost Optimization
Security & Compliance
Collaboration & Mentorship
Skills & Qualifications
Must-Have Skills
Good-to-Have Skills
Education
Why Join Us
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Senior Engineer • ghaziabad, uttar pradesh, in
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