Devops Engineer - GCP

Aaxis Infotel; Pune District; Hybrid; INR 2,500,000 - 4,000,000; Full time

Benefits offered by this job

Flexible work arrangements

Professional development support

Global collaboration

Job summary

Aaxis.io in Pune, India, is seeking a Senior DevOps Engineer to design, secure, and automate cloud infrastructure on Google Cloud Platform and GKE. You will build robust CI/CD pipelines for microservices and drive observability and cost optimization across distributed systems.

The role emphasizes IaC, security controls, and AI-enhanced DevOps workflows to accelerate release cycles while maintaining reliability and governance.

Qualifications

• 7+ years of hands-on DevOps, SRE, or Cloud Infra roles.
• Experience managing GCP resources (Compute Engine, Cloud Run, IAM, Pub/Sub).
• Strong Kubernetes/GKE experience for container orchestration.

Responsibilities

• Design, deploy, and manage scalable cloud infra on GCP for large-scale apps.
• Configure and optimize GKE clusters for availability, performance, and security.
• Build secure, automated CI/CD pipelines for microservices deployments.

Skills

GCP

GKE

CI/CD

AI in DevOps

Scripting

Observability

Security

DevOps practices

Cloud cost

AI-assisted ops

Education

Bachelor's degree in CS or related

Tools

Terraform

Pulumi

ArgoCD/Flux

Job description

Senior DevOps Engineer

Location: Pune, Hybrid

Employment Type: Full-Time

About Aaxis.io

At Aaxis.io, we design and build world-class digital commerce solutions for global brands. Our teams deliver scalable, secure, and cloud-native systems leveraging cutting-edge technology.

We're looking for a Senior DevOps Engineer to join our growing team in Pune, India. This role focuses on designing, tuning, securing, automating, and observing Google Cloud Platform (GCP) infrastructure and Kubernetes (GKE) clusters, while building highly reliable CI/CD pipelines for microservices-based systems powering complex digital commerce ecosystems.

Key Responsibilities

• Design, deploy, and manage scalable cloud infrastructure on Google Cloud Platform (GCP) to support large-scale digital commerce applications.
• Set up, configure, and optimize Google Kubernetes Engine (GKE) clusters for high availability, performance, and security.
• Build and maintain secure, automated CI/CD pipelines using industry best practices to support microservices deployments.
• Implement infrastructure-as-code (IaC) using tools like Terraform, Pulumi, or Google Cloud Deployment Manager.
• Define and enforce security controls, policies, and monitoring strategies to ensure a robust production environment.
• Develop observability frameworks including logging, metrics, tracing, and alerting (e.g., Prometheus, Grafana, Stackdriver, ELK).
• Continuously optimize cost, performance, and scalability of cloud environments.
• Collaborate closely with architects, developers, and QA engineers to enable AI-augmented DevOps workflows and faster release cycles.
• Explore and integrate AI-powered tools for automated infrastructure management, anomaly detection, performance tuning, and CI/CD optimization.
• Stay current with emerging cloud technologies, container orchestration, and DevOps tooling—with a forward-leaning focus on evolving solution architectures and how AI will automate and streamline DevOps practices—and proactively recommend improvements.

Required Skills & Experience

• 7+ years of hands-on experience in DevOps, SRE, or Cloud Infrastructure engineering roles.
• Expertise in managing Google Cloud Platform (GCP) resources (Compute Engine, Cloud Run, Cloud Storage, IAM, Pub/Sub, etc.).
• Strong experience with Kubernetes (GKE preferred) for container orchestration and microservices deployments.
• Proficiency in CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, ArgoCD, or Spinnaker.
• Solid experience with Infrastructure as Code using Terraform, Pulumi, or similar tools.
• Strong skills in monitoring, logging, and observability using tools like Prometheus, Grafana, Google Cloud Operations Suite (Stackdriver), or ELK stack.
• Knowledge of container security best practices, including vulnerability scanning, secrets management, and RBAC.
• Scripting skills in Python, Bash, or Go for automation tasks.
• Familiarity with service mesh (e.g., Istio) and API gateway patterns is a plus.

Preferred Qualifications

• A bachelor’s or master’s degree in computer science or related field
• Google Cloud Professional DevOps Engineer or Kubernetes Administrator (CKA) certification.
• Experience integrating AI-powered tools into DevOps workflows for:
• Automated code reviews and pipeline optimizations (e.g., GitHub Copilot, ChatGPT, Gemini).
• AI-based monitoring and anomaly detection.
• Infrastructure automation and self-healing systems.

• Knowledge of GitOps principles and tools (ArgoCD, Flux).
• Familiarity with digital commerce ecosystems (headless commerce, OMS, PIM systems).

What We Offer

• Work on cutting-edge digital commerce platforms for global brands.
• A culture of innovation with a focus on AI-enhanced engineering practices.
• Opportunities for professional development and certifications in cloud and emerging technologies.
• Flexible work arrangements and a collaborative global team.