Senior DevOps Engineer

Kale Logistics Solutions; Pune District; Hybrid; INR 1,200,000 - 2,200,000; Full time

Job summary

Kale Logistics Solutions is seeking an experienced DevOps Engineer to design and maintain CI/CD pipelines, manage Docker/Kubernetes infrastructure, and automate provisioning with Terraform and Ansible. You will support deployments across UAT, PROD, HA, and DR, troubleshoot networking and security issues, and build observability and runbooks to ensure reliable go-lives.

The role emphasizes collaboration with Engineering, QA, Security, and client IT teams, with a focus on scalable, secure

Qualifications

• Design and maintain CI/CD pipelines for automated builds, testing, deployments, and releases.
• Hands-on expertise in Docker, Kubernetes, AKS, and Helm.
• Experience with Azure cloud, Linux, Infrastructure as Code, and scripting (Bash/Python).
• Knowledge of security best practices and vulnerability remediation in deployments.

Responsibilities

• Design and maintain CI/CD pipelines for automated builds, testing, deployments, and releases.
• Manage Docker, Kubernetes, AKS, and Linux infrastructure.
• Automate infrastructure provisioning with Terraform, Ansible, or equivalents.
• Support customer deployments across UAT, PROD, HA, and DR environments.
• Troubleshoot networking, DNS, TLS certificates, firewalls, connectivity, and deployment issues.
• Establish observability with Prometheus, Grafana, logging, and tracing.
• Integrate security scanning and secret management into deployment pipelines.
• Collaborate with Engineering, QA, Security, and customer IT teams for readiness and go-lives.
• Create reusable deployment automation and runbooks.

Skills

GitHub Actions

Azure DevOps

Jenkins

Docker

Kubernetes

AKS

Helm

Terraform

Ansible

Linux

Bash scripting

Python scripting

Prometheus

Grafana

Centralized logging

Distributed tracing

Security scanning

DevSecOps

PostgreSQL

MongoDB

Backups & recovery

Ollama

Tools

Azure Kubernetes Service (AKS)

Job description

Role & responsibilities

• Design and maintain CI/CD pipelines for automated builds, testing, deployments, and releases.
• Manage Docker, Kubernetes, Azure Kubernetes Service (AKS), and Linux infrastructure.
• Automate infrastructure provisioning and configuration using Terraform, Ansible, or equivalent tools.
• Support customer deployments across UAT, PROD, HA, and DR environments.
• Troubleshoot networking, DNS, TLS certificates, firewalls, connectivity, and deployment issues.
• Establish observability across infrastructure and application services using centralized logging, metrics, distributed tracing, and alerting.
• Integrate security scanning and vulnerability remediation, secret management, and access controls into the deployment pipeline.
• Collaborate with Engineering, QA, Security, and customer IT teams to ensure deployment readiness and timely go-lives.
• Create reusable deployment automation, operational documentation, and runbooks.

Preferred candidate profile

• Strong experience with CI/CD tools such as GitHub Actions, Azure DevOps, or Jenkins.
• Hands-on expertise in Docker, Kubernetes, AKS, and Helm.
• Experience with Azure cloud, Linux, Infrastructure as Code, and scripting (Bash/Python).
• Hands-on experience with observability tools and practices, including Prometheus, Grafana, centralized logging, and distributed tracing
• Working knowledge of PostgreSQL, MongoDB, backups, and recovery.
• Knowledge of DevSecOps, vulnerability scanning, and security best practices.

Workload & Ingress Management: Configuring networking, CoreDNS, Ingress/Gateway API controllers, and Network Policies

Preferred Qualifications

• Experience with enterprise customer deployments in cloud and on-premises environments.
• Knowledge of HA/DR architecture, security assessments, and compliance requirements.
• Basic understanding of AI/ML deployment concepts, LLM-based applications, and model-serving endpoints.
• Exposure to deploying AI services using tools such as Ollama or cloud-based AI platforms.
• Familiarity with AI coding assistants and AI-powered tools for DevOps automation and troubleshooting.