Amol Technologies is a developing Global Software Development organization headquartered at Nashik, India. We are a group of profoundly gifted technologists taking into account our customer's needs. With an unmatched ability pool of profoundly talented Software Engineers, we have the specialized aptitudes, responsibility and industry information to convey custom applications on schedule and inside spending plan.

Experience: 10+ Years

Location: Bangalore / Pune (Hybrid)

We are seeking a highly skilled Senior DevOps Engineer who brings deep expertise across major cloud platforms, Infrastructure as Code (IaC), automation, CI/CD, and modern DevOps practices. This role requires a hands-on engineer who can design scalable systems, build robust deployment pipelines, drive engineering excellence, and contribute to long-term DevOps strategy. Strong communication, leadership, and the ability to guide teams through modern cloud-native and AI-powered DevOps solutions are essential.

Key Responsibilities

Cloud & Infrastructure

• Architect, implement, and manage cloud infrastructure across major cloud platforms such as AWS, Azure, and Google Cloud Platform (GCP).

• Design and maintain highly available, scalable, and secure cloud environments.

• Implement Infrastructure as Code (IaC) using tools such as Terraform, AWS CloudFormation, Pulumi, or Azure Resource Manager (ARM) templates.

• Optimize cloud resource utilization and cost efficiency.

Automation & CI/CD

• Build, manage, and optimize CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, Azure DevOps, ArgoCD, or Spinnaker.

• Automate deployment workflows, configuration management, and operational processes using Ansible, Chef, Puppet, or shell scripting.

• Implement automated testing, security scans, and quality gates across pipelines.

Containerization & Orchestration

• Build and maintain containerized applications using Docker.

• Deploy and manage workloads on Kubernetes, utilizing Helm Charts, Operators, and GitOps practices.

• Administer Kubernetes clusters using EKS, AKS, GKE, or self-managed environments.

Monitoring, Logging & Security

• Implement comprehensive observability solutions using Prometheus, Grafana, ELK/EFK Stack, Datadog, New Relic, Splunk, or CloudWatch.

• Define and enforce security best practices for cloud, network, and application infrastructure.

• Maintain compliance with security policies, IAM governance, and vulnerability management.

AI & DevOps Automation

• Integrate AI-enabled tooling to improve pipeline efficiency, incident prediction, capacity planning, and automated remediation.

• Evaluate and implement AI/ML-driven DevOps platforms such as AIOps, GitHub Copilot, Azure DevOps AI, or cloud-native AI services.

• Drive experimentation with generative AI for documentation automation, code quality improvements, and operational insights.

Leadership & Collaboration

• Lead and mentor DevOps engineers, fostering best practices in automation, cloud architecture, and operational excellence.

• Collaborate closely with engineering, security, architecture, and product teams to deliver reliable and scalable solutions.

• Influence technical decision-making and contribute to the long-term DevOps and cloud strategy.

• Participate in incident management and guide teams in root cause analysis and preventive measures.

Required Skills & Qualifications

• 10+ years of experience in DevOps, Cloud Engineering, or Site Reliability Engineering (SRE).

• Hands-on experience with at least one major cloud provider AWS/Azure/GCP.

• Strong proficiency with IaC.

• Demonstrated experience building CI/CD pipelines and automating deployments.

• Strong scripting skills in Python, Bash, PowerShell, or Go.

• Solid understanding of networking, security principles, and distributed systems.

• Experience with containers and Kubernetes orchestration at scale.

• Familiarity with AI/ML concepts and practical exposure to AI-driven engineering tools.

• Excellent written and verbal communication skills.

• Ability to work in a fast-paced environment and lead cross-functional collaborations.

Preferred Qualifications

• Certifications: AWS Solutions Architect / DevOps Engineer, Azure DevOps Engineer, CKA/CKAD.

• Experience implementing GitOps with ArgoCD or Flux.

• Background in microservices architecture, serverless, or event-driven systems.