资深软件工程师，FinOps
Staff Software Engineer, FinOps
关于 Syllo
Syllo 正在致力于改变诉讼行业。我们的产品是一个统一的诉讼平台，使律师和助理律师能够在整个诉讼生命周期中安全地利用语言模型和代理 AI 的强大功能。自推出市场以来，我们已经吸引了多样化的企业客户，包括国内一些最大的律师事务所和公司，我们正在迅速扩展。通过降低整个诉讼行业的成本，我们旨在提高高质量代理服务的可及性，并促进法律结果与公正性的对齐。
关于该职位
我们正在寻找一名高级工程师，负责 Syllo 的云成本，并推动工程团队的成本优化。他们将直接参与技术设计和实现，同时具备 FinOps 思维，将成本视为首要的工程关注点，同时营造一个协作、高效、让工程师能够成长、学习和发展的环境。就像 Syllo 为我们的客户降低诉讼成本一样，这个角色确保我们以同样的严谨性运行自己的平台。
职责
- 全面负责云成本效率，推动 FinOps 计划，以实现成本可见性、责任归属以及随着规模扩大持续降低成本。
- 在更广泛的工程团队中推广 FinOps 思维，提供技术领导力和指导。
- 设计、实现和管理使用 Kubernetes、Pub/Sub 和其他相关技术的可扩展云基础设施。
- 与我们的 AI 团队合作，优化数据管道并集成 AI 技术，以消除性能瓶颈。
- 重构现有系统以提高可扩展性，包括将有状态组件转换为无状态组件，并应用广泛的自动扩展和自动修复机制。
- 推动平台可靠性计划，包括增强告警、健康检查和事件管理。
- 确保平台符合严格的测试和安全标准，以保持数据完整性和安全性。
- 参与轮班值班，以确保满足 SLA 要求。
资格
- 在 FinOps 或云成本优化项目中展现出成功领导经验，包括建立成本治理、推动跨职能采用，并在大规模下实现可量化的节省。
- 核心软件工程技能，包括熟练掌握 Python 和 Ruby 等编程语言。
查看英文原文
About Syllo
Syllo is on a mission to transform litigation. Our product is a unified litigation platform that enables lawyers and paralegals to safely harness the power of language models and agentic AI throughout the litigation life cycle. Since going to market, we have gained a diverse group of enterprise customers, including some of the biggest law firms and corporations in the country, and we are quickly expanding. By reducing the expense of litigation industry-wide, we aim to improve access to high-quality representation and promote the alignment of legal outcomes with merit.
About the Role
We’re looking for a Staff Engineer to take ownership of cloud costs at Syllo and drive cost improvements across our engineering organization. They will contribute directly to technical design and implementation but also bring a FinOps mindset, treating cost as a first-class engineering concern, while fostering a collaborative, high-performing environment where engineers can grow, learn, and thrive. Just as Syllo reduces the cost of litigation for our customers, this role ensures we run our own platform with the same discipline.
Responsibilities
- Own cloud cost efficiency end-to-end by championing FinOps initiatives that drive cost visibility, accountability, and sustained reductions in unit cost as we scale.
- Provide technical leadership and mentorship especially around socializing the FinOps mindset across the broader Engineering team.
- Design, implement, and manage scalable cloud-based infrastructure using Kubernetes, Pub/Sub, and other relevant technologies.
- Collaborate with our AI team to optimize data pipelines and integrate AI technologies to remove performance bottlenecks.
- Refactor existing systems to enhance scalability, including transforming stateful components into stateless ones, and applying extensive autoscaling and auto-repair mechanisms.
- Drive platform reliability initiatives, including enhancing alerting, health checking, and incident management.
- Ensure the platform meets rigorous testing and security standards to maintain data integrity and security.
- Participate in an on-call rotation to ensure meeting SLAs.
Qualifications
- Demonstrated success leading FinOps or cloud cost-optimization initiatives including establishing cost governance, driving cross-functional adoption, and delivering quantifiable savings at scale.
- Core software engineering skills, including proficiency in languages such as Python and Ruby.
- Strong system administration experience, including fluency with Linux, networking, and bash scripting.
- Proficiency with GCP.
- Proficiency with cloud tools and distributed systems, such as Kubernetes, Kafka, Postgres, and Elasticsearch, or equivalent technologies.
- Ability to design and implement scalable, resilient cloud infrastructure.
- Strong analytical and troubleshooting skills with a proactive approach to problem-solving.
- Excellent communication and interpersonal skills, able to engage effectively with both technical and non-technical stakeholders.
- Experience addressing scaling challenges and resource contention in distributed systems.
- Expertise in cloud data security
Salary Range ($190- $230K) plus health insurance and equity.
United States - Remote Pay Range
$190,000—$230,000 USD
Originally posted on Himalayas