Platform Software Engineer
About The Position
Syllo is hiring a Senior Platform Engineer to design, scale, and maintain the cloud infrastructure and observability systems supporting its agentic AI litigation platform. The role partners closely with AI and engineering teams to address performance bottlenecks and automate reliable distributed workflows. The engineer will develop comprehensive monitoring, logging, metrics, tracing, and dashboarding; design and manage scalable cloud infrastructure; optimize data pipelines; and improve system scalability, resilience, testing, and security. The role also includes cost control, technology upgrades, developer tooling improvements, and participation in an on-call rotation to help meet SLAs. Syllo describes itself as a unified Litigation AI system for managing the case lifecycle. Founded in 2019 by litigators and engineers, the company is backed by top-tier venture capital firms and serves leading law firms and Fortune 500 companies. It lists awards including ILTA Transformative Project of the Year and ALM eDiscovery Technology of the Year for 2026.
Requirements
- Proven platform engineering or SRE experience, with a strong focus on distributed-system observability and metrics collection.
- Strong system administration experience, including practical fluency with Linux, networking, and bash scripting.
- At least one year of experience deploying complex, enterprise-scale solutions in cloud environments.
- Proficiency with cloud tools and distributed systems such as AWS, GCP, Kubernetes, Kafka, Postgres, and Elasticsearch, or equivalent technologies and platforms.
- Expertise in Infrastructure as Code using tools such as Terraform.
- Ability to design and implement scalable, resilient cloud infrastructure.
- Strong analytical and troubleshooting skills and a proactive approach to problem-solving.
- Excellent communication and collaboration skills, including the ability to interact effectively with stakeholders across departments.
- Experience managing challenges such as autoscaling and resource contention in distributed systems.
- Engagement with the open-source community, including tool research, bug reporting, and code contribution.
- Expertise in cloud data security.
Responsibilities
- Implement application and infrastructure monitoring, logging, and observability strategies.
- Establish metrics, tracing, and dashboarding solutions to provide visibility into system performance and health.
- 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.
- Pursue continuous improvement, including cost control measures and technology upgrades.
- Develop and refine developer tools to streamline workflows and reduce duplicated effort in development environments.
- Ensure the platform meets testing and security standards and maintains data integrity and security.
- Participate in an on-call rotation to help meet SLAs.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
