Automation Engineer-3-4Yrs-Mumbai

Crescendo Global Leadership Hiring India; Mumbai, Navi Mumbai; Hybrid; INR 2,500,000 - 4,500,000; Full time

Job summary

Crescendo Global Leadership Hiring India is seeking a DevOps Automation Engineer to advance automation across cloud and infrastructure operations in Mumbai. You will build reusable automation, manage IaC with Terraform, and integrate with AWS or Azure via supported APIs and pipelines.

You will own CI/CD workflows (GitHub Actions, GitLab CI, Jenkins, Azure DevOps), implement secure practices, and partner with operations to remove repetitive work while preserving essential human approvals.

Qualifications

• Extensive hands-on automation of cloud/infrastructure operations.
• Hands-on with at least one major cloud: AWS or Azure; both desirable but not mandatory.
• Strong Terraform for infrastructure-as-code and modularization.
• Strong scripting in Python/PowerShell/Bash or similar.
• Experience with CI/CD tools and workflows – at least one: GitHub Actions, GitLab CI, Jenkins or Azure DevOps.

Responsibilities

• Identify and prioritise automation opportunities.
• Build reusable automation for provisioning, configuration, patching, backup validation, remediation.
• Develop and maintain Terraform and configuration-as-code components.
• Integrate automation with AWS and/or Azure, CI/CD pipelines, ITSM tools, monitoring, and collaboration tooling.
• Implement and manage CI/CD pipelines for infrastructure and automation using tools such as GitHub, GitLab, Jenkins and Azure DevOps.
• Use Ansible, Terraform and scripting to enforce consistency across environments.
• Apply secure engineering practices, including least privilege, secrets management, dependency control, logging, input validation and rollback/recovery design.
• Ensure production automation has clear ownership, documentation, monitoring, exception handling, support procedures and measurable outcomes.
• Partner with operations teams to remove repetitive work while preserving necessary human approval for high-risk actions.
• Create operational dashboards and evidence of automation coverage, success rate, time saved, control performance and failure trends.
• Troubleshoot automation failures and underlying platform issues; conduct root-cause analysis and improve reliability.
• Contribute reusable patterns, coding standards and technical guidance to DevOps teams.

Skills

Terraform

Python scripting

CI/CD tooling

AWS/Azure

Ansible

Docker/Kubernetes

Git/GitHub

APIs/event-driven

Secrets management

ITSM integration

Tools

GitHub Actions

GitLab CI

Jenkins

Azure DevOps

Job description

ESSENTIAL DUTIES / RESPONSIBILITIES

• Identify and prioritise automation opportunities using operational effort, failure demand, risk, control gaps

and business value.

• Build reusable automation for provisioning, configuration, patching, backup validation, remediation,

tagging, reporting, evidence collection, access workflows and service operations.

• Develop and maintain infrastructure-as-code (primarily Terraform) and configuration-as-code components

using approved patterns, source control, peer review and automated testing.

• Integrate automation with cloud platforms (AWS and/or Azure), CI/CD pipelines (GitHub Actions, GitLab CI,

Jenkins, Azure DevOps), IT service management tools, monitoring, security and collaboration tooling

through supported APIs and event-driven patterns.

• Implement and manage CI/CD pipelines for infrastructure and operational automation using tools such as

GitHub, GitLab, Jenkins and Azure DevOps.

• Use configuration management and automation tools such as Ansible, Terraform and scripting languages to

enforce consistency across environments.

• Apply secure engineering practices, including least privilege, secrets management, dependency control,

logging, input validation and rollback or recovery design.

• Ensure every production automation has clear ownership, documentation, monitoring, exception handling,

support procedures and measurable outcomes.

• Partner with operations teams to remove repetitive work while preserving appropriate human approval for

high-risk or irreversible actions.

• Create operational dashboards and evidence that show automation coverage, success rate, time saved,

control performance and failure trends.

• Troubleshoot automation failures and underlying platform issues; conduct root-cause analysis and improve

reliability.

• Contribute reusable patterns, coding standards and technical guidance to internal and outsourced DevOps

teams.

MUST-HAVE SKILLS AND EXPERIENCE

• 47 years of practical experience automating cloud or infrastructure operations.
• Hands-on experience with at least one major cloud platform: AWS or Azure (experience in both is desirable

but not mandatory).

• Strong proficiency in Terraform for infrastructure-as-code; experience writing, maintaining and versioning

Terraform modules.

• Strong scripting or software engineering capability in Python, PowerShell, Bash or a comparable language.
• Experience with CI/CD tools and workflows — at least one of: GitHub Actions, GitLab CI, Jenkins or Azure

DevOps.

• Working knowledge of Git-based source control and branching strategies.
• Understanding of APIs, event-driven automation, observability and monitoring (e.g. CloudWatch, Azure

Monitor, Datadog, Grafana).

• Familiarity with ITSM processes and tools (e.g. ServiceNow, Jira Service Management) for integrating

automation with service operations.

• Knowledge of secure secrets handling (e.g. HashiCorp Vault, AWS Secrets Manager, Azure Key Vault).

GOOD-TO-HAVE SKILLS

• Experience with configuration management tools such as Ansible.
• Exposure to container platforms (Docker, Kubernetes / ECS / EKS / AKS).
• Experience with both AWS and Azure cloud platforms.
• Relevant cloud certification (e.g. AWS Solutions Architect Associate, Azure Administrator, Terraform

Associate).

• Relevant DevOps or automation certification (e.g. AWS DevOps Engineer, Azure DevOps Engineer Expert).
• Experience with policy-as-code tools (e.g. OPA, Sentinel, AWS Config Rules, Azure Policy).
• Understanding of FinOps principles and cloud cost optimisation.

COMPETENCIES

• Engineering discipline – Readable code, tests, documentation, versioning and safe deployment.
• Problem solving – Strong problem decomposition and ability to simplify inconsistent manual processes

before automating them.

• Outcome focus – Bias toward measurable outcomes rather than automation for its own sake.
• Collaboration – Collaborative working style with patience for operational users and a willingness to support

what is built.

• Continuous learning – Curiosity, continuous learning and constructive challenge of inefficient or unsafe

practice.