обновлено 5 дней назад
Engineer III - FinOps Data Analytics (AI)
120 000 - 180 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Engineer III - FinOps Data Analytics (AI) (FinOps/cloud cost management): Building cost monitoring, allocation, optimization, and reporting solutions across cloud platforms with an accent on automation, data pipelines, and cost attribution. Focus on implementing guardrails, integrating billing APIs, maintaining dashboards, and improving cost data quality across distributed product and platform groups.
Location: USA - Remote. Candidates must be eligible for CJIS clearance, requiring U.S. citizenship or Green Card/permanent resident status.
Base salary: $120,000–$180,000 per year, with eligibility for bonuses, equity grants, health insurance, 401(k), and paid time off.
Company
A global cybersecurity organization building an AI-native platform that protects modern organizations and processes nearly 3 trillion events per day.
What you will do
- Implement cloud cost monitoring, alerting, allocation, tagging, and optimization solutions.
- Develop scripts, automation tools, guardrails, and policies to support FinOps workflows and prevent cost overruns.
- Build and maintain cost dashboards, reporting tools, and cost data collection and processing pipelines.
- Integrate cloud billing APIs with internal systems and support cost management tooling across product and platform groups.
- Monitor existing systems, troubleshoot cost-related issues, test optimization recommendations, and support data quality initiatives.
- Participate in code reviews, technical design discussions, documentation, on-call rotation, and cross-functional FinOps initiatives.
Requirements
- Eligibility for CJIS clearance through U.S. citizenship or Green Card/permanent resident status.
- Bachelor’s degree in Computer Science, Engineering, or a related technical field.
- 3+ years of software engineering experience.
- Programming experience with Python, Go, or similar languages.
- Experience with AWS, Azure, or GCP and a basic understanding of cloud infrastructure and services.
- Experience with Git, monitoring tools, observability concepts, and Docker.
Nice to have
- Interest in FinOps Certified Practitioner certification.
- Exposure to Terraform, CloudFormation, CI/CD pipelines, databases, SQL, Grafana, or Tableau.
- Understanding of networking and security fundamentals.
- Previous exposure to cost optimization or resource management.
- Experience using AI technologies to improve decision-making, workflows, efficiency, and business outcomes.
Culture & Benefits
- Remote flexibility with autonomy and collaboration across product, platform, Finance, and Business teams.
- Mentorship from senior FinOps engineers and technical leads.
- Cloud platform training, certification programs, and professional development opportunities.
- Health and wellness programs, competitive vacation and holidays, and paid parental and adoption leave.
- Employee networks, geographic neighborhood groups, volunteer opportunities, equity awards, and 401(k).
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