招聘
必备技能
AWS
GCP
Azure
As a Staff Software Engineer on Datadog’s Cloud Fin Ops team, you will help shape how the company understands, analyzes, and optimizes its cloud infrastructure spend. This role sits at the intersection of engineering, finance, and executive leadership, building the systems and insights that drive company-wide decisions about infrastructure usage, AI usage and efficiency. You will design scalable solutions that improve cost attribution, forecasting, and visibility across Datadog’s multi-cloud environment. This is a high-impact opportunity to influence strategic decisions, solve complex infrastructure efficiency challenges, and help define the future of Fin Ops capabilities at Datadog.
At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.
What You’ll Do:
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Design and evolve internal platforms and tools that provide visibility into Datadog’s cloud infrastructure costs across AWS, GCP, and Azure.
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Partner with Finance, Engineering, and Executive Leadership to analyze cloud spend trends and inform strategic decisions.
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Develop scalable models and systems for cloud cost attribution across complex shared infrastructure.
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Build forward-looking Fin Ops capabilities that help teams proactively manage and optimize infrastructure usage.
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Work cross-functionally with engineering leaders to understand system architecture and translate infrastructure usage patterns into actionable cost insights.
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Influence company-wide initiatives around cost efficiency, forecasting, and infrastructure planning.
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Raises team performance by leading by example, building systems and patterns that improve productivity and autonomy by guiding with pragmatic technical judgment while being a hands-on contributor.
Who You Are:
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Experience designing or operating distributed systems at scale.
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Proven ability to lead large cross-organizational technical initiatives and influence senior stakeholders.
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Strong communication skills and ability to explain complex technical concepts to engineering, finance, and executive audiences.
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Experience working with cloud infrastructure platforms such as AWS, GCP, or Azure.
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Ability to operate autonomously in ambiguous problem spaces and develop scalable solutions.
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Interest in infrastructure efficiency, cost attribution, and Fin Ops-style problem domains.
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.
Benefits and Growth:
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Generous and competitive benefits package
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New hire stock equity (RSUs) and employee stock purchase plan
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Continuous career development and pathing opportunities
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Employee-focused best in class onboarding
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Internal mentor and cross-departmental buddy program
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Friendly and inclusive workplace culture
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.
The reasonably estimated yearly salary for this role at Datadog is:$234,000—$300,000 USD
About Datadog:
Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
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关于Datadog

Datadog
PublicDatadog, Inc. is an American company that provides an observability service for cloud-scale applications, providing monitoring of servers, databases, tools, and services, through a SaaS-based data analytics platform.
5,001-10,000
员工数
New York
总部位置
$40B
企业估值
评价
4.3
10条评价
工作生活平衡
3.2
薪酬
4.0
企业文化
4.5
职业发展
3.8
管理层
4.2
78%
推荐给朋友
优点
Great team culture and collaborative environment
Flexible hours and work-life balance
Cutting-edge technology and innovative projects
缺点
High workload and tight deadlines
Fast-paced environment can be overwhelming
Long hours affecting work-life balance
薪资范围
51个数据点
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Data Scientist I
0份报告
$146,875
年薪总额
基本工资
-
股票
-
奖金
-
$124,844
$168,906
面试经验
4次面试
难度
3.5
/ 5
时长
14-28周
面试流程
1
Application Review
2
HR Screen
3
Technical Interview
4
Final Interview
5
Offer Decision
常见问题
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
新闻动态
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