Cloud Optimization Engineer
techjays
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Benefits offered by this job
Job summary
Qualifications
- 6+ years of experience in Infrastructure & Cloud technology.
- Proficient in AWS and Azure infrastructure and services.
- Experience in cost management tools.
Responsibilities
- Lead comprehensive cost optimization of AWS and Azure services.
- Analyze billing and usage data to optimize cloud spending.
- Automate workflows to reduce cost overruns.
Skills
Education
Tools
Job description
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. Our established leadership in the AI space combines deep expertise with a collaborative, agile approach, delivering impactful technology that drives meaningful change. Our global team includes 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. We are pushing the boundaries of digital transformation, working 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 Cost 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.
6 - 8 years
Remote
- AWS (advanced certifications)
- Kubernetes
- Docker
- Terraform
- Helm charts
- Python scripting
- Cost Optimization & Dashboard Creation
- Observability Tools
- Cloud certifications (AWS Certified Cloud Practitioner, Azure Fundamentals, Kubernetes) preferred
- Lead comprehensive cost optimization of AWS and Azure cloud services and infrastructure.
- Analyze 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.
- Perform financial analysis to identify trends, patterns, and anomalies in spending and financial performance.
- Conduct deep‑drop investigations of cost overruns and optimization opportunities through data‑driven analysis.
- Develop and maintain cost optimization strategies, roadmaps, and forecasting models.
- Automate workflows using 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.
- Engage with engineering and 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.
- 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.
- 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 such as Excel and 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.
- Best in class packages.
- Paid holidays and flexible paid time away.
- Casual dress code & flexible working environment.
- Work in an engaging, fast‑paced environment with ample opportunities for professional development.
- Medical insurance covering self & family up to 4 lakhs per person.
- Diverse and multicultural work environment.
- Be part of an innovation‑driven culture that provides the support and resources needed to succeed.
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