Staff Software Engineer, FinOps

Syllo

23d•$190,000 - $230,000•Remote

About The Position

Syllo is seeking a Staff Engineer to own cloud costs and drive cost improvements across its engineering organization. The role combines hands-on technical design and implementation with a FinOps mindset, treating cost as a first-class engineering concern while supporting a collaborative environment where engineers can grow and thrive. The position helps ensure Syllo operates its litigation platform with financial discipline as the company scales. The engineer will lead cloud-cost efficiency efforts, provide technical leadership and mentorship, build and improve scalable cloud infrastructure, and work with the AI team on data pipelines and performance. The role also focuses on platform scalability, reliability, testing, security, and participating in an on-call rotation to help meet SLAs.

Requirements

Demonstrated success leading FinOps or cloud cost-optimization initiatives, including establishing cost governance, driving cross-functional adoption, and delivering quantifiable savings at scale.
Proficiency in software engineering 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 and a proactive approach to problem-solving.
Excellent communication and interpersonal skills, with the ability to engage effectively with technical and non-technical stakeholders.
Experience addressing scaling challenges and resource contention in distributed systems.
Expertise in cloud data security.

Responsibilities

Own cloud cost efficiency end-to-end and champion FinOps initiatives that improve cost visibility and accountability and reduce unit costs as the company scales.
Provide technical leadership and mentorship, particularly by promoting a FinOps mindset across the Engineering team.
Design, implement, and manage scalable cloud-based infrastructure using Kubernetes, Pub/Sub, and other relevant technologies.
Collaborate with the AI team to optimize data pipelines and integrate AI technologies to remove performance bottlenecks.
Refactor systems to improve scalability, including transforming stateful components into stateless ones and applying autoscaling and auto-repair mechanisms.
Drive platform reliability initiatives, including improving 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 help meet SLAs.