Cloud Cost Optimization Engineer

6 years

0 Lacs

Posted:22 hours ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

What makes Techjays an inspiring place to work


At Techjays, we are driving the future of artificial intelligence with a bold mission to empower businesses worldwide by helping them build AI solutions that transform industries. As an established leader in the AI space, we combine deep expertise with a collaborative, agile approach to deliver impactful technology that drives meaningful change.


Our global team consists of professionals who have honed their skills at leading companies such as Google, Akamai, NetApp, ADP, Cognizant Consulting, and Capgemini. With engineering teams across the globe, we deliver tailored AI software and services to clients ranging from startups to large-scale enterprises.


Be part of a company that’s pushing the boundaries of digital transformation. At Techjays, you’ll work on exciting projects that redefine industries, innovate with the latest technologies, and contribute to solutions that make a real-world impact. Join us on our journey to shape the future with AI.


We are looking for a Cloud Optimization Engineer with deep expertise in cloud financial operations (FinOps), cost modeling, automation, and AI-enhanced optimization. You will work closely with engineering, cloud operations, SRE, governance, and finance teams to improve cloud cost efficiency, forecast spending, and build automated workflows that ensure sustainable scaling across AWS and Azure.


Years of Experience

Location


Key Skills:

Primary Skills: AWS, Azure, GCP, DevOps (Docker, Kubernetes), and Python Scripting.

Secondary Skills: FinOps & Cost Optimization and AI/GenAI Integration.



Must-Have Skills


  • Infrastructure & Cloud technology industry experience (6+ Years)
  • Proficient in AWS and Azure infrastructure and services with hands-on experience in cost management tools (AWS Cost Explorer, Azure Cost Management)
  • Proficient in Python, AWS/Azure CLI, Terraform, and GitHub workflows (4+ Years)
  • Proficient in data analysis tools e.g., Excel, SQL (4+ Years)
  • Experience with cloud architecture patterns, containerization (Docker, Kubernetes), and CI/CD pipelines
  • Ability to analyze complex data sets, identify patterns, and draw actionable insights
  • Ability to translate complex technical data into business insights
  • Experience in Engineering, Cost Optimization, and reducing Cloud spend
  • Knowledge of Engineering practices and cost optimization methodologies


Key Responsibilities


Cost Analysis & Optimization

  • Lead comprehensive cost optimization of AWS and Azure cloud services, infrastructure, and technology spend for all Arkose Labs products and services while maintaining operational efficiency.
  • Analysis of AWS and Azure billing data, usage data from asset inventory and monitoring utilization data to assess Engineering teams cloud consumption, identify wasteful spend, and provide actionable insights to optimize spend
  • Financial analysis to identify trends, patterns, and anomalies in spending and financial performance across all Arkose Labs products
  • Conduct deep-dive investigation of cost overruns and optimization opportunities through data-driven analysis
  • Develop and maintain cost optimization strategies, roadmaps, and forecasting models


Technical Leadership & Automation

  • Automation with serverless products on AWS (Lambda, Step Functions, EventBridge) and Azure (Functions, Logic Apps, Event Grid), Python, Terraform etc. to repeat analysis, data collection, recommendation generation, and track benefit implementation to reduce Cost overruns.
  • Create and maintain cost attribution models to specific cost centers and automated reporting dashboards
  • Implement cloud cost governance frameworks and best practices
  • Stakeholder Engagement & Implementation
  • Engage with Engineering & Cloud Platform teams to drive optimization implementation
  • Work closely with engineering teams to understand infrastructure requirements and provide technical recommendations for cost-effective architecture improvements
  • Present findings and recommendations to senior leadership and stakeholders


Process Improvement & Governance

  • Establish KPIs and metrics to track cost optimization progress and benefit realization
  • Develop cost optimization playbooks, documentation, and training materials
  • Conduct knowledge sharing sessions with engineering teams


What we offer


  • Best-in-class packages
  • Paid holidays and flexible time off
  • Casual dress code & flexible working environment
  • Work in an engaging, fast-paced environment with ample opportunities for professional growth
  • Medical insurance covering self & family up to 4 lakhs per person
  • Diverse and multicultural work environment
  • Be part of an innovation-driven culture with the support and resources needed to succeed

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