Staff Software Engineer, Systems

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🕒 July 29

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Syllo

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2019

⚖️ Legal

🤖 Artificial Intelligence

☁️ SaaS

🔥 Funding within the last year

💰 $30M Venture Round - Syllo on 2025-10

Legal • Artificial Intelligence • SaaS

Syllo is a Litigation AI company that provides a unified platform for managing complex litigation end-to-end. Its software combines case management, eDiscovery, legal research, analysis, drafting, and agentic issue tagging to help in-house teams and law firms master the record, apply issue codes at scale, and accelerate strategy and workflow across written discovery, depositions, and pretrial work. Syllo positions itself as an AI-enabled, collaborative workspace focused on high-stakes commercial litigation.

📋 Description

• 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.

🎯 Requirements

• 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

🏖️ Benefits

• health insurance