Software Engineer, Distributed Systems

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’re looking for Distributed Systems Engineers ranging from a Senior Level to a Staff Level who will be a key member of a new Systems team at Syllo that will own Platforms, Frameworks, Tools, Patterns, and Architecture. You will will not only contribute directly to technical design and implementation but also foster a collaborative, high-performing environment where engineers can grow, learn, and thrive.

Responsibilities

• 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.
• Lead efforts on data ingestion and export processes, improving efficiency and reducing

dependencies on legacy technologies.

• Drive platform reliability initiatives, including enhancing alerting, health checking, and incident management.
• Champion continuous improvement efforts, including cost control measures and technological upgrades.
• Oversee the development of internal tools that streamline workflows and reduce duplication of effort 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 SLA

Qualifications

• Core software engineering skills, including proficiency in languages such as Python andRuby.
• 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.
• Demonstrated expertise in Infrastructure as Code using tools such as Terraform.
• 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 distributedsystems.
• Engagement with the open-source community, including tool research, bug reporting, and code contribution.
• Expertise in cloud data security

Salary Range ($190- $230K) plus health insurance and equity.

United States - Remote Pay Range

$190,000 — $230,000 USD