Staff SWE, Distributed Systems at TLATech

Job description

About Syllo Syllo is on a mission to transform litigation. Our product is a unified litigation platform that enables lawyers and paralegals to safely harness the power of language models and agentic AI throughout the litigation life cycle. Since going to market, we have gained a diverse group of enterprise customers, including some of the biggest law firms and corporations in the country, and we are quickly expanding. By reducing the expense of litigation industry-wide, we aim to improve access to high-quality representation and promote the alignment of legal outcomes with merit. About the Role We’re looking for a Staff Engineer who will be a key member of a new Systems team at Syllo that will own Platforms, Frameworks, Tools, Patterns, and Architecture. This person 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

Requirements

Must-haves

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
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

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aikubernetespythongcppostgres

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Health Insurance