Senior Engineer Cloud Engineering

HuntingCube

Gurugram District

On-site

INR 2,000,000 - 4,000,000

Full time

2 days ago

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Job summary

HuntingCube in Gurgaon is seeking a Senior Engineer – Cloud Engineering to design, implement, and maintain cloud infrastructure and CI/CD pipelines that support business applications. You will focus on IaC, automation, DevOps, security, observability, and reliability, collaborating with development and operations teams to improve scalability, availability, and performance.

You should have hands-on experience with Terraform, Azure, GCP, Kubernetes, ArgoCD, and GitHub-based workflows, and a strong

Qualifications

Bachelor’s degree in Computer Science, IT, or related field.
Extensive experience implementing Infrastructure as Code with Terraform.
Strong background in Azure and GCP cloud services.
Proven ability to design CI/CD pipelines and modern software engineering practices.
Experience with Kubernetes-based deployment orchestration and observability tooling.

Responsibilities

Design, implement, and maintain cloud infrastructure and production operations.
Drive DevOps practices, automation, and CI/CD pipelines.
Develop IaC modules and reusable infrastructure patterns.
Embed security practices and governance in cloud deployments.
Work with ArgoCD and other GitOps tooling for deployments.
Establish SLIs/SLOs and monitor reliability and performance.
Create runbooks and contribute to engineering playbooks.

Skills

CI/CD

Observability

Monitoring

Logging

Alerting

SLIs/SLOs

Runbooks

Azure AD

Cloud Security

DevOps

Education

Bachelor's degree in Computer Science/IT

Tools

Terraform

Azure

GCP

Google Cloud Build

Artifactory

ArgoCD

Kubernetes

Docker

IaC

Job description

Job Description:

Job Description

Job Purpose We are looking for a Senior Engineer – Cloud Engineering responsible for designing, implementing, and maintaining cloud infrastructure and CI/CD pipelines that support business applications and services. The role will focus on cloud infrastructure, automation, DevOps practices, Infrastructure as Code (IaC), security compliance, observability, reliability, and production operations. The role will also involve collaborating with development and operations teams to streamline workflows and improve the reliability, scalability, and availability of systems.

Key Responsibilities

1. Cloud Infrastructure & Production Operations Design, implement, and maintain cloud infrastructure and services. Improve production service reliability and operational performance. Reduce incident volume and severity. Improve platform performance and service levels. Implement observability and reliability engineering practices. Define and measure Service Level Indicators (SLIs) and Service Level Objectives (SLOs). Monitor system health and support incident and problem resolution. Build and maintain automated runbooks to support resilient production operations.

2. DevOps & Software Engineering Practices Drive adoption of DevOps culture, automation-first practices, and modern engineering standards. Implement and optimise CI/CD pipelines. Support trunk-based development and standardise development workflows. Improve test and operations automation. Drive shift-left practices across QA, security, and operations within the SDLC. Optimise SDLC processes to improve deployment frequency and lead time for change. Standardise branching strategies and release management practices. Migrate to strategic SDLC, test automation, and observability tools and technologies.

3. Infrastructure as Code Implement and maintain Infrastructure as Code (IaC) using Terraform. Ensure consistent adoption of IaC practices. Develop reusable infrastructure modules and contribute to engineering best-practice libraries. Support automation and tooling improvements to streamline infrastructure and engineering workflows.

4. Cloud Security & Governance Embed DevSecOps practices within engineering and deployment processes. Implement automated security scanning, dependency checks, secret management, and compliance pipelines. Ensure cloud environments follow governance frameworks, naming conventions, tagging, and policy controls. Implement Identity and Access Management (IAM) using least-privilege principles. Conduct security reviews and participate in threat modelling. Support remediation of identified vulnerabilities.

5. Kubernetes & Deployment Work with Kubernetes-based deployment orchestration. Support reliable and scalable application deployments. Implement and maintain deployment processes using modern CI/CD and GitOps tooling, including ArgoCD.

6. Observability & Reliability Engineering Implement monitoring, logging, and alerting for distributed systems. Establish and measure SLIs and SLOs to drive platform reliability. Monitor system performance and availability. Identify reliability and operational improvements. Use DevOps metrics, including DORA metrics, error budgets, and availability, to measure engineering and operational performance.

7. Documentation & Knowledge Sharing Create and maintain technical documentation, including: Runbooks Architecture diagrams Deployment guides Engineering standards Contribute to engineering playbooks and reusable modules. Lead knowledge-sharing sessions and engineering community-of-practice activities.

8. Delivery & Continuous Improvement Participate in sprint planning, technical grooming, and delivery ceremonies. Identify bottlenecks and introduce automation or tooling improvements. Continuously evaluate technologies and propose solutions that strengthen the platform. Promote continuous improvement across engineering, operations, automation, and reliability practices.

Required Qualifications & Experience

Bachelor’s degree in Computer Science, Information Technology, or a related field.

5+ years of experience implementing Infrastructure as Code, particularly using Terraform. Experience designing solutions and architecture. Experience driving modern software engineering practices. Hands‑off? Experience with Azure and GCP cloud services. Experience with secure cloud configuration and networking. Strong expertise in CI/CD pipelines using modern tools such as: GitHub Google Cloud Build Artifactory ArgoCD Experience with Kubernetes-based deployment orchestration. Experience implementing observability through monitoring, logging, and alerting for distributed systems. Proven ability to define and measure SLIs and SLOs to drive reliability. Experience building and maintaining automated runbooks for resilient production operations.

Key Competencies

Strong problem-solving and analytical skills. Excellent attention to detail. Proactive approach to identifying and resolving challenges. Ability to deliver outcomes efficiently. Strong ownership and follow-through. Ability to learn quickly and adapt to modern engineering practices. Persistence and a strong focus on getting things done. Strategic thinking and vision. Ability to maintain high standards across engineering, operations, risk management, and ways of working. Ability to develop people and contribute to team capability building.

Required Skills