Thinking Machines Lab

3 months ago

Site Reliability Engineer (SRE)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 minute agoStatus: Live

Job Summary

Site Reliability Engineer to drive end-to-end reliability for the Tinker platform, collaborating with platform engineers and research teams to build robust monitoring, incident response, and multi-tenant scheduling. You’ll define SLOs for distributed training systems, design observability across the full training path, and improve reliability while maintaining data separation.

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

•Define and own end-to-end reliability, from CI/CD flows to production observability and incident response.
•Develop appropriate Service Level Objectives for distributed training systems, balancing job completion reliability and scheduling latency with development velocity.
•Design and implement monitoring and observability across the full training path.
•Drive incident response for Tinker platform issues, ensuring rapid recovery, thorough incident reviews, and systematic improvements that prevent recurrence.
•Harden multi-tenant isolation and resource scheduling so that LoRA-based workload co-scheduling maximizes utilization without compromising reliability or data separation.

Pay and Benefits

Salary: 350,000 - 475,000

Perks:Health InsuranceDentalVisionRelocationPaid Leave

Key Requirements

•Bachelor's degree or equivalent experience in computer science, engineering, or similar.
•Experience in distributed systems, cloud infrastructure, or site reliability engineering.
•Proficiency writing software to solve reliability problems, including building tooling and automation.
•Experience with production incident response, postmortems, and systematic reliability improvement.
•Strong communication skills and track record of coordination across engineering and research teams.

Experience:CloudDistributed systemsAI

Education:Bachelor's

Skills:CommunicationProblem-solvingCollaborationAnalytical thinking

Languages:English

Tech Stack:CI/CDMonitoringObservabilityKubernetesGPUCloudPostmortemsIncident response

Eligibility

Work Authorization:Sponsorship available.

Company Brief

Thinking Machines Lab

Develops enterprise AI solutions, custom large language models, and ML platforms to help organizations deploy intelligent applications. Services include data engineering, model development, and AI consulting for scale and production readiness.

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Headquarters: Mumbai, India

Website

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Thinking Machines Lab

3 months ago

Site Reliability Engineer (SRE)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 minute agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

•Define and own end-to-end reliability, from CI/CD flows to production observability and incident response.
•Develop appropriate Service Level Objectives for distributed training systems, balancing job completion reliability and scheduling latency with development velocity.
•Design and implement monitoring and observability across the full training path.
•Drive incident response for Tinker platform issues, ensuring rapid recovery, thorough incident reviews, and systematic improvements that prevent recurrence.
•Harden multi-tenant isolation and resource scheduling so that LoRA-based workload co-scheduling maximizes utilization without compromising reliability or data separation.

Pay and Benefits

Salary: 350,000 - 475,000

Perks:Health InsuranceDentalVisionRelocationPaid Leave

Key Requirements

•Bachelor's degree or equivalent experience in computer science, engineering, or similar.
•Experience in distributed systems, cloud infrastructure, or site reliability engineering.
•Proficiency writing software to solve reliability problems, including building tooling and automation.
•Experience with production incident response, postmortems, and systematic reliability improvement.
•Strong communication skills and track record of coordination across engineering and research teams.

Experience:CloudDistributed systemsAI

Education:Bachelor's

Skills:CommunicationProblem-solvingCollaborationAnalytical thinking

Languages:English

Tech Stack:CI/CDMonitoringObservabilityKubernetesGPUCloudPostmortemsIncident response

Eligibility

Work Authorization:Sponsorship available.

Company Brief

Thinking Machines Lab

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Headquarters: Mumbai, India

Website