Senior Cloud Cost Optimization Engineer at Arkose Labs

Pune, Maharashtra, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Cybersecurity, TechnologyIndustries

Requirements

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

Responsibilities

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
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
Conduct 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
Automate 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
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
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

Skills

Key technologies and capabilities for this role

AWSAzureCloud Cost OptimizationBilling AnalysisFinancial AnalysisAsset InventoryUtilization Monitoring

Questions & Answers

Common questions about this position

What is the work location and policy for this role?

The position is located in Pune, India, with a hybrid work policy requiring a minimum of 3 days in the office per week.

What technical skills are required for this Senior Cloud Cost Optimization Engineer role?

Key skills include expertise in AWS and Azure cloud services, Python, Terraform, and serverless products like AWS Lambda, Step Functions, EventBridge, Azure Functions, Logic Apps, and Event Grid.

What does the company culture at Arkose Labs feel like?

Arkose Labs fosters an innovative engineering team environment focused on revolutionizing cloud financial management, with a self-driven, puzzle-solving culture that views cost optimization as engineering excellence.

Is the salary or compensation mentioned for this position?

This information is not specified in the job description.

What makes a strong candidate for this Senior Cloud Cost Optimization Engineer role?

Strong candidates are passionate about technology, thrive on solving complex cloud billing puzzles with AWS and Azure, and are self-driven with a focus on delivering measurable engineering impact through cost optimization.

Arkose Labs

Cybersecurity solutions to deter bot attacks

About Arkose Labs

Arkose Labs focuses on preventing bot attacks in the cybersecurity sector. Their platform uses real-time risk assessments and machine learning analytics to identify and counteract malicious bot activities before they can inflict harm. A key feature of their offering is the Arkose MatchKey, which is designed to be a highly effective CAPTCHA, enhancing both security and user experience. Unlike many competitors, Arkose Labs aims to increase the cost and effort required for attackers, making bot attacks less appealing. The company's goal is to provide robust protection for digital assets, ensuring that clients can operate securely in an increasingly hostile online environment.

San Francisco, CaliforniaHeadquarters

2016Year Founded

$96.8MTotal Funding

SERIES_CCompany Stage

Cybersecurity, AI & Machine LearningIndustries

201-500Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

401(k) Retirement Plan

401(k) Company Match

Unlimited Paid Time Off

Flexible Work Hours

Paid Vacation

Generous nationwide parental leave policy

Employee Assistance Program

Mental Health Support

Gym Membership

Risks

Emerging AI-driven bot attacks could potentially outpace Arkose Labs' current defenses.

Competitors are developing advanced CAPTCHA alternatives challenging Arkose MatchKey's position.

The rise of DeFi platforms introduces new vectors for bot attacks Arkose must address.

Differentiation

Arkose Labs offers the world's first $1M warranties for credential stuffing and SMS toll fraud.

Arkose MatchKey is touted as the strongest CAPTCHA ever made, enhancing security measures.

Arkose Labs' AI-powered platform combines risk assessments with dynamic threat response.

Upsides

Arkose Labs is recognized as the 2023 Leader in Bot Detection and Mitigation.

The launch of Arkose Device ID enhances fraud detection and prevention capabilities.

Arkose Labs' protection measures for GPT applications address new attack vectors effectively.

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