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DevOps Engineer

Angel and Genie • Full-time • Bengaluru, IN • 2d ago

Role: Devops Engineer

Experience: 2-6 years

Work Location: Bangalore.

Work Mode: Work from Office.

Salary: Upto 30Lakhs PA

Skills: Kubernetes, CI/CD Pipelines, Cloud Security, Azure (AKS), python,SREAWS (EKS), Terraform

Position Overview

:We are looking for an experienced DevOps Engineer to join our team in Bengaluru. In this role, you will be responsible for building, optimizing, and maintaining scalable, secure, and highly available multi-cloud infrastructure that supports our engineering teams. The ideal candidate brings strong hands-on experience with Kubernetes, Infrastructure as Code (Terraform), and robust monitoring/observability stacks to enable seamless, reliable, and automated deployments

.
Key Responsibilitie

s:Container Orchestration: Deploy, scale, and manage containerized workloads on Kubernetes (EKS, AKS, and GKE
).Infrastructure as Code (IaC): Build and maintain modular, reusable, and version-controlled infrastructure using Terraform across AWS, Azure, and GC
P.Monitoring & Observability: Set up, manage, and optimize monitoring, logging, and alerting stacks (e.g., Prometheus, Grafana, ELK/EFK, Loki, Datadog
).CI/CD Pipeline Management: Own, improve, and automate CI/CD pipelines to enable fast, reliable, and frictionless software release
s.System Reliability & SRE Practices: Implement best practices for system reliability, including defining SLIs/SLOs, managing incident response, and participating in on-call suppor
t.Troubleshooting & Support: Diagnose and resolve complex production issues across infrastructure, networking, and application layer
s.Security & Compliance: Implement infrastructure security best practices, including IAM policies, secrets management, and network securit
y.Automation: Eliminate repetitive operational tasks by writing clean, efficient scripts in Python, Bash, or G
o.Operations & Planning: Participate in capacity planning, cost optimization, disaster recovery, and infrastructure scaling initiatives while maintaining clear documentation and runbook

s.

Requiremen

ts :Solid working experience with cloud providers, specifically AWS, Azure, or
GCP.Strong understanding of containerization (Docker) and container orchestration conce
pts.Familiarity with Linux system administration and networking fundament
als.Experience with version control systems (Git) and GitOps workflows (ArgoCD/Flux is a pl
us).Strong problem-solving skills and the ability to thrive in a fast-paced, collaborative environm

ent.Qualificatio

ns :
Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related technical field (or equivalent practical experi

ence)
Exper

ience:4–6 years of professional experience in a DevOps, SRE, or Infrastructure Engineerin

g role
Key

Skills:The ideal candidate must possess deep expertise in container orchestration, specifically hands-on experience managing Kubernetes ecosystems—including Helm charts, cluster networking, and RBAC policies—alongside a foundational mastery of Docker containeri
zation.Proficiency in managing cloud architecture as software is essential, with a heavy emphasis on Terraform execution, including advanced module creation, state management, and multi-environment work
spaces.A strong capability to implement full-stack visibility is required, utilizing tools like Prometheus, the Grafana LGMT stack, ELK/EFK, or Loki to build highly optimized monitoring, alerting, and logging s
ystems.Candidates should have a proven track record of constructing and scaling automated deployment pipelines using industry-standard platforms such as Jenkins, GitLab CI, GitHub Actions, or Azure DevOps to minimize release fric
tion. .Strong core programming fundamentals are required to automate repetitive infrastructure tasks, with practical proficiency in Python, Bash,
or Go.Familiarity with cutting-edge cloud-native technologies is highly desirable, including enterprise service meshes (Istio, Linkerd), comprehensive cloud security frameworks (HashiCorp Vault, OPA, Trivy), and a data-driven approach to cloud cost management and FinOps pra

ctices.