
The DevSecOps platform.
Intermediate Site Reliability Engineer, Cloud Cost Utilization
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100 trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software.
**Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As a Cloud Cost Utilization SRE at GitLab, you will make cloud spending visible, understandable, and actionable across our infrastructure. This role sits at the intersection of engineering and financial accountability, where you will partner with Engineering, Finance, and Product to improve how cloud usage is tracked, attributed, and optimized across GitLab.
You will build and improve the systems, standards, and workflows that help teams understand the real cost of the services they run. That includes developing resource tagging and labeling approaches, improving billing data quality, and creating tooling that supports better decisions across AWS and GCP.
In this role, you will work through technical and organizational ambiguity, connect infrastructure data with business context, and help teams act on cost signals with confidence. This is a strong fit for someone who enjoys systems thinking, cross-functional collaboration, and building practical solutions in GitLab's all-remote, asynchronous, and values-driven environment.
Some examples of our projects
- Building cloud billing data pipelines that normalize multi-cloud cost data using the Fin Ops Open Cost and Usage Specification (FOCUS)
- Improving cloud resource tagging and labeling standards so teams can understand spend by service, environment, and ownership
- Developing cost anomaly detection, forecasting, and alerting workflows that give teams timely insight into infrastructure usage
- Extending observability systems so cost signals can be reviewed alongside reliability and operational data
What you'll do
- Design and maintain cloud resource tagging and labeling strategies across GCP and AWS to support accurate cost attribution
- Develop tooling and pipelines to ingest, normalize, and report on cloud billing data using the FOCUS specification
- Automate cost anomaly detection, forecasting, and alerting so engineering teams can respond quickly to changes in infrastructure spend
- Contribute to GitLab's observability and monitoring stacks, including Prometheus, LGTM (Loki, Grafana, Tempo, and Mimir), and ELK, with a focus on surfacing cost efficiency signals
- Partner with Finance and Engineering leadership to support cloud cost forecasting for planning and budget discussions
- Act as a subject matter expert for cloud cost attribution, tagging strategy, and FOCUS adoption across GitLab Infrastructure
- Collaborate with Finance and Compliance teams on audits, certifications, and financial reporting needs related to cloud infrastructure usage
- Contribute to infrastructure-as-code efforts, including Terraform and Ansible, so cost controls and tagging requirements are built into provisioning workflows from the start
What you'll bring
- Hands-on experience with cloud cost management in GCP and/or AWS, including billing data, pricing models, and optimization approaches
- Familiarity with, or interest in adopting, the Fin Ops FOCUS specification for multi-cloud cost analysis
- Experience designing or implementing cloud resource tagging and labeling strategies and improving adoption across teams
- Comfort working across technical and business functions, including Engineering, Finance, and other stakeholders
- Experience with infrastructure as code, including Terraform and Ansible
- Familiarity with observability tooling, including Grafana, and an understanding of how reliability and cost signals can be connected
- Ability to explain technical cost data clearly to non-engineering audiences and support informed decision-making
- A self-directed approach to work, with comfort operating in a fully remote and asynchronous environment
How Git
Lab Supports Full-Time Employees:
- Benefits to support your health, finances, and well-being
- Flexible Paid Time Off
- Team Member Resource Groups
- Equity Compensation & Employee Stock Purchase Plan
- Growth and Development Fund
- Parental leave
- Home office support
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our Recruitment Privacy Policy. Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.
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GitLabについて

GitLab
PublicGitLab Inc. is an American company that operates and develops GitLab, an open-core DevOps software package that can develop, secure, and operate software.
1,001-5,000
従業員数
San Francisco
本社所在地
$16B
企業価値
レビュー
10件のレビュー
4.3
10件のレビュー
ワークライフバランス
4.2
報酬
3.8
企業文化
4.5
キャリア
3.5
経営陣
4.0
82%
知人への推奨率
良い点
Flexible work arrangements and remote options
Supportive and collaborative team environment
Great benefits and comprehensive health plans
改善点
Heavy workload and high expectations
Fast-paced and sometimes overwhelming environment
Communication issues and occasional chaos
給与レンジ
2件のデータ
Mid/L4
Mid/L4 · Cybersecurity Analyst
0件のレポート
$153,000
年収総額
基本給
-
ストック
-
ボーナス
-
$130,050
$175,950
面接レビュー
レビュー4件
難易度
2.8
/ 5
期間
14-28週間
内定率
75%
体験
ポジティブ 25%
普通 50%
ネガティブ 25%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Coding Interview
5
Behavioral Interview
6
Offer
よくある質問
Coding/Algorithm
Behavioral/STAR
Technical Knowledge
System Design
Past Experience
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