Senior Devops EngineerAmerican Inference • mangalore, India

Senior Devops Engineer

American Inference • mangalore, India

8 days ago

Job description

Note : Please apply directly through LinkedIn for this position. We kindly request that candidates refrain from contacting company officials via email or messages regarding this role.

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

Design 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.

CI / CD Pipeline & Deployment Automation

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.

Monitoring, Observability & Reliability

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.

Performance, Scalability & Cost Optimization

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%.

Security & Compliance

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.

Collaboration & Mentorship

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.

Skills & Qualifications

Must-Have Skills

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

Good-to-Have Skills

ArgoCD / Flux (GitOps)

KEDA (Event-Driven Autoscaling)

OpenTelemetry (Distributed Tracing)

Istio / Linkerd (Service Mesh)

Python or Go scripting

FinOps and Azure Cost Management

Education

UG : B.Tech / B.E. – Computer Science / Information Technology

PG : M.Tech / M.E. / Any Postgraduate (preferred)

Why Join Us

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.

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