Note: The job is a remote job and is open to candidates in USA. Laurel is an AI Time platform company that uses machine learning to help professional services firms capture, analyze, and optimize work time. The Senior Platform Engineer will build foundational infrastructure and systems for Laurel’s internal developer platform and production environments, ensuring high availability, scalability, security, and reliability while enabling engineering teams to ship quickly. The role also involves cloud infrastructure management, CI/CD, observability, internal tooling, and solving complex distributed systems problems.
Responsibilities
- Design, build, and maintain robust, scalable, and secure infrastructure systems that support our growing AI-driven platform
- Manage and optimize our cloud infrastructure (AWS and Azure) and container orchestration (Kubernetes), as well as our Identity, Configuration, Routing, and Auditing services
- Build and maintain high-performance CI/CD pipelines to increase deployment frequency, security, and reliability
- Implement comprehensive observability, monitoring, and alerting to maintain system health and establish patterns for on-call and incident response across the organization
- Partner with engineering teams to diagnose performance bottlenecks and optimize cost-efficiency
- Develop internal tooling to automate infrastructure provisioning/management and streamline development
- Stay current with industry trends and adopt emerging technologies
- Iterate on foundational patterns for our infrastructure and advise teams who require specific solutions
- Work on systems engineering problems, such as complex networking via a Golang based “edge router” and orchestrating canary deployments
- Optimize performance, cost, and reliability of both infrastructure and services
Skills
- • Have 4+ years of experience in Platform, Infrastructure, SRE or DevOps roles
- • Can independently architect and ship complex systems with minimal oversight
- • Have deep experience with APIs, distributed systems, cloud infrastructure, and data-intensive applications
- • Thrive in ambiguous environments where requirements evolve quickly
- • Can communicate clearly with both engineers and non-technical stakeholders
- • Care deeply about speed, iteration, and customer impact
- • Experience with Kubernetes and AWS
- • Development experience with Terraform, Go and Typescript
- • Experience working in startup environments
- • Significant experience with Linux administration
- • Familiarity with Git
- • Experience with taking part in a regular engineering oncall rotation
- • Experience with any CI tooling/platforms and build systems
- • Experience debugging production issues in unfamiliar codebases with logs, metrics, and tracing
- • Visa Sponsorship: Unfortunately we are unable to sponsor visas at this time
- • Location: This role will be remote, but preference is to be based near our company hubs in San Francisco, Los Angeles, or New York City
- • Experience deploying AI systems into enterprise environments
- • Experience with Azure
- • Software engineer shaped, with a systems engineering background
- • Experience with our specific technology stack: Argo, cdk8s, OpenTelemetry & Observe, MongoDB, Postgresql, Spacelift, CircleCI, and/or GitHub Actions
- • Familiarity with authentication systems, security constraints, and enterprise IT environments
Benefits
- Remote work arrangement
- Comprehensive medical, dental, and vision coverage with covered premiums
- 401(k)
- Wellness stipends
- Commuter stipends
- FSA stipends
- Equity
- Bi-annual, in-person company off-sites in unique locations
- An opportunity to perform at your best while growing and making a meaningful impact on the company's trajectory
Company Overview