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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and operating secure developer environments, with a strong focus on CI/CD tooling, automation, and infrastructure best practices. Proficient in collaborating with AI researchers and ML engineers to enhance system operability and productivity in high-performance computing environments.
Highest-signal resume keywords
CI/CD ToolingKubernetes KnowledgePython Software DevelopmentLinux System DebuggingGPU Cluster Operations
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
CI/CDContainer Image BuildInfrastructure-As-CodeAutomationObservabilityPythonGoDebuggingDistributed Training FrameworksHigh-Performance Computing
Soft Skills
CollaborationProblem-SolvingCommunication
Tools & Technologies
KubernetesGPU/TPU ClustersML InfrastructureDeveloper PlatformsInternal Tooling
Industry Keywords
AI EnablementML EngineersResearch CollaborationProduction SystemsOn-Call Rotation
Tech Stack
Tools & technologiesKubernetesLinuxPythonGo
About the role
Key responsibilities & impact- Build and operate secure developer environments that remain controlled while accelerating developer velocity
- Own container image build and CI/CD tooling
- Instrument training code and build self-service tooling for researchers to diagnose failed runs
- Establish infrastructure best practices through AI enablement, documentation, and office hours
- Troubleshoot production failures and performance problems
- Improve system operability after resolving issues
- Build automation, infrastructure-as-code, and observability for a maintainable platform
- Collaborate with AI researchers and ML engineers on stability, scalability, and observability
- Support infrastructure and tools used to train, evaluate, and serve Cohere’s foundation models
- Participate in a compensated 24x7 on-call rotation
Requirements
What you’ll need- Experience running a developer platform in production, including CI, image builds, developer environments, or internal tooling relied on by many engineers
- Experience improving productivity for ML engineers or researchers without making the platform fragile
- Sufficient Linux and Kubernetes knowledge to debug production systems
- GPU cluster operations experience is a plus
- Software development experience in Python or Go
- Preference for extending solid open-source projects rather than rebuilding them
- Experience working with researchers, ML engineers, or teams with differing goals
- Experience identifying bottlenecks, proposing fixes, and driving implementation in a fast-moving environment
- Availability for a compensated 24x7 on-call rotation
- Authorization to work in the country of current residence
- Must answer questions about Kubernetes at scale, ML/HPC infrastructure, GPU/TPU clusters, distributed training frameworks, and high-performance computing environments
Benefits
Comp & perks- Weekly lunch stipend of $75/£75 or equivalent in local currency
- Full health and dental benefits, including a separate mental health budget
- RRSP matching, 401K, and Pension Scheme
- 100% parental leave top-up for up to 6 months, for either parent
- Annual enrichment benefits covering arts and culture, fitness/wellness, quality time, and workspace improvement credit
- Education and learning stipend for conferences, courses, and coaching
- 6 weeks of paid vacation (30 working days)
- Budget for traveling to other offices if remote
- Annual company offsite
- Co-working benefit for employees not near an office
- $500 home office stipend
- Daily lunch program, snacks, and regular community and social events for office-based employees