Atlan

Staff Software Engineer: Cloud Cost

India

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Data & Analytics, Cloud Computing, FintechIndustries

Requirements

Candidates must have 5+ years of experience with cloud platforms, particularly AWS, including experience with EKS, EC2, S3, Lambda, CloudWatch, Cost Explorer, Billing, and other relevant services. They should possess 3+ years of proven experience in cloud cost optimization, with a deep understanding of cost models and billing intricacies. Strong knowledge of COGS, unit economics, CAGR, and cloud-native financial modeling is required, along with hands-on experience with AI/ML or automation tools for cost monitoring and optimization.

Responsibilities

The Staff Software Engineer: Cloud Cost will drive and maintain optimization across all levels of Atlan’s Cloud Infrastructure, building and maintaining a robust framework to monitor, analyze, and reduce cloud cost. They will collaborate with engineering and product teams to proactively identify waste and implement cost-aware designs, working closely with Finance and Product Ops to understand unit economics and cost per customer. This role involves designing decentralized observability and cost ownership systems, evaluating and implementing third-party tools for efficiency, and applying AI/ML techniques to automate infrastructure management, predictive scaling, and cost forecasting, leveraging large language models to enhance internal workflows.

Skills

Cloud Infrastructure Optimization
Cost Strategy
Monitoring and Analysis
FinOps
Dashboard Development
Observability Tools
Cast AI
Karpenter
KEDA
HPA
VPA
AI/ML Techniques
Infrastructure Automation
Predictive Scaling
Anomaly Detection
Cost Forecasting

Atlan

Unified platform for data management and collaboration

About Atlan

Atlan offers a platform for data management that helps teams access and understand their data while promoting collaboration. Its unique data catalog organizes metadata, reducing data silos and integrating with various industry tools to create a comprehensive data stack. The company uses a pay-as-you-go revenue model, making it flexible for businesses of all sizes, and is known for its strong customer service with quick response times. Atlan's goal is to streamline data management processes, enhancing data accessibility and collaboration for organizations.

Singapore, SingaporeHeadquarters
2019Year Founded
$195.5MTotal Funding
SERIES_CCompany Stage
Data & Analytics, Enterprise SoftwareIndustries
201-500Employees

Benefits

Remote Work Options

Risks

Emerging startups with similar capabilities could dilute Atlan's market share.
Rapid AI evolution may require Atlan to invest heavily in R&D.
Over-reliance on key partnerships poses risks if terms change or dissolve.

Differentiation

Atlan offers a unique data catalog that organizes and activates metadata effectively.
The platform integrates seamlessly with tools like Slack, Snowflake, and Tableau.
Atlan provides a personalized, collaboration-first experience for data management.

Upsides

Atlan raised $105M in Series C funding, boosting its valuation to $750 million.
The demand for data democratization tools is increasing, benefiting Atlan's offerings.
Growing interest in AI and machine learning enhances Atlan's data processing capabilities.

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