All (Remote) · 9d ago
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What this job asks for
Extracted by RemoteHuntMust have
- •Platform engineering/
SRE experience - •Distributed system observability
- •Linux, networking, bash scripting
- •Cloud environments (AWS, GCP)
- •Kubernetes, Kafka, Postgres, Elasticsearch
- •Infrastructure as Code (Terraform)
Nice to have
- •Open-source community engagement
- •Cloud data security expertise
Tools and technologies
Kubernetes, Pub/Sub, AWS, GCP, Kafka, Postgres, Elasticsearch, Terraform
Read the full posting
About Syllo
Syllo is leading the Litigation AI category. In 2019, a team of litigators and engineers founded Syllo to redefine how complex litigation works. Today it is the first unified Litigation AI system built to manage the entire case lifecycle, helping legal teams decide what matters and what comes next. Backed by top-tier VCs, Syllo empowers leading law firms and Fortune 500 companies to move faster and mitigate risk. Awarded ILTA Transformative Project of the Year and ALM eDiscovery Technology of the Year for 2026, we deliver enterprise-grade Litigation AI. We’re building a team to push the boundaries of what technology can achieve.
About the Role
We are looking for a Senior Platform Engineer to design, scale, and maintain the cloud infrastructure and observability systems supporting our agentic AI litigation platform. In this role, you will partner closely with our AI and engineering teams to eliminate performance bottlenecks and automate reliable distributed workflows.
Responsibilities:
- Implement comprehensive application and infrastructure monitoring, logging, and observability strategies.
- Establish metrics, tracing, and dashboarding solutions to gain deep visibility into system performance and health.
- 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 toremove performance bottlenecks.
- Refactor existing systems to enhance scalability, including transforming stateful components into stateless ones, and applying extensive autoscaling and auto-repair mechanisms.
- Engage in continuous improvement efforts, including cost control measures and technological upgrades.
- Develop and refine developer tools to streamline workflows and reduce duplication of efforts in development environments. 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:
- Proven experience in platform engineering/SRE with a strong focus on distributed system observability and metrics collection.
- Strong system administration experience, including practical fluency with Linux, networking, and bash scripting. 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, but also other equivalent technologies and platforms.
- Demonstrated expertise in Infrastructure as Code using tools such as Terraform.
- Demonstrated ability to design and implement scalable, resilient cloud infrastructure.
- Strong analytical and troubleshooting skills with a proactive approach to problem-solving.
- Excellent communication and collaboration skills, able to interact effectively with stakeholders across various departments.
- Experience in managing challenges like 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.
United States - Remote Pay Range
$160,000 — $230,000 USD
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