Cloud Engineer, FinOps & DevOps

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an Engineer, FinOps & DevOps in India.

This role is ideal for an engineer passionate about cloud cost optimization, automation, and operational efficiency. You will drive FinOps and DevOps initiatives across multi-cloud environments, enhancing cost visibility, governance, and resource optimization while collaborating with finance, platform, and SRE teams. The position offers exposure to AWS, Azure, and cloud-native services, and provides an opportunity to design automated workflows, policy-as-code, and reporting dashboards that directly impact operational performance and financial transparency. The ideal candidate thrives in a fast-paced environment, embraces cross-functional collaboration, and enjoys mentoring others while solving complex cloud infrastructure challenges.

Accountabilities

• Develop and maintain cloud cost allocation, budgeting, and chargeback models across AWS and Azure accounts
• Implement and enforce tagging strategies and resource hierarchy standards to maintain high compliance (>90%)
• Build and publish cost visibility dashboards using Power BI, QuickSight, Looker, or other FinOps tools
• Execute cloud resource optimization, rightsizing, scheduling, and lifecycle management
• Implement governance policies and automation using Terraform, CloudFormation, Azure Policy, and related tools
• Collaborate with engineering, finance, and product teams to provide actionable insights on cost, performance, and resource utilization
• Contribute to CI/CD pipelines, infrastructure automation, and DevOps best practices, including GitOps workflows
  
  

Requirements

• 3–6 years of experience in Cloud Engineering, Platform Operations, DevOps, or SRE, with 1–2 years in FinOps or cloud cost optimization
• Hands-on experience with two or more major public clouds (AWS, Azure, GCP)
• Proficiency in tagging strategy, cost reporting, and optimization techniques (RI/SP/CUDs, rightsizing)
• Experience with cloud observability and reporting tools such as Power BI, QuickSight, or Looker
• Scripting skills in Python, PowerShell, or similar languages
• Familiarity with Infrastructure as Code (Terraform, CloudFormation, Bicep) and DevOps automation tools (GitHub Actions, Azure DevOps, AWS CodePipeline)
• Strong collaboration and communication skills, with a focus on operational excellence and financial accountability
  
  

Preferred Qualifications

• FinOps Certified Practitioner or equivalent cloud certifications (AWS Solutions Architect, AZ-104, Google Cloud Engineer)
• Experience with multi-account chargeback/showback models and hybrid/container environments (VMware, Kubernetes)
• Knowledge of enterprise billing, consolidated invoicing, and cloud governance best practices
  
  

Benefits

• Fully remote work with flexibility to align with team schedules
• Competitive compensation and performance-based incentives
• Opportunities for skill development, certifications, and professional growth
• Exposure to multi-cloud, high-impact projects with cutting-edge technologies
• Collaborative, inclusive, and supportive work environment
  
  

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.