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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Kubernetes cluster design, operation, and management at scale, alongside strong capabilities in infrastructure as code using Terraform. Proven ability to lead incident response and enhance platform reliability and observability in hybrid environments.
Highest-signal resume keywords
Kubernetes ExpertiseAWS ExperienceInfrastructure As CodeIncident ManagementSoftware Engineering Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
KubernetesTerraformGoPythonLinuxNetworkingGitOpsDistributed Storage SystemsBGP-Level NetworkingGPU Infrastructure
Soft Skills
MentoringConsensus BuildingTechnical Ownership
Tools & Technologies
AWSArgoCDBare-Metal InfrastructureData Centre Infrastructure
Industry Keywords
Hybrid InfrastructurePlatform ObservabilityReliability EngineeringIncident Response
Tech Stack
Tools & technologiesAWSCloudKubernetesLinuxPythonTerraformGo
About the role
Key responsibilities & impact- Own the reliability, capacity, and cost efficiency of DeepL's CPU and GPU compute infrastructure across AWS and on-premises environments
- Shape the platform architecture and make technical decisions with peers
- Design, build, and operate production-grade Kubernetes clusters across cloud and on-premises infrastructure
- Drive the technical work of deepening the hybrid infrastructure model across on-premises hardware and AWS
- Define infrastructure-as-code and platform standards
- Strengthen platform observability and security
- Mentor engineers across the infrastructure track
- Build consensus across engineering teams and turn it into shipped changes
- Lead incident response for hybrid infrastructure and drive remediation through root cause
- Help sustain a long-term on-call rotation
Requirements
What you’ll need- Deep, hands-on Kubernetes expertise; experience designing, building, and operating clusters at scale through their full lifecycle
- Depth at scale in either public cloud or on-prem infrastructure, plus credibility to work in the other
- AWS experience preferred
- Bare-metal or data centre experience strongly valued
- Networking and Linux expertise sufficient to debug from container through host to network edge
- Infrastructure as code with Terraform or equivalent
- GitOps delivery with tooling such as ArgoCD in production environments
- Software engineering skills in at least one major language; Go or Python preferred
- Ability to build tooling other engineers rely on
- Track record of technical ownership spanning several teams
- Strong incident-management and reliability-engineering discipline
- GPU infrastructure for training or inference at scale is a bonus
- Distributed storage systems in production, such as Ceph, are a bonus
- Experience serving researchers or data scientists as platform customers is a bonus
- BGP-level networking in a hybrid or on-prem environment is a bonus
Benefits
Comp & perks- Hybrid work schedule with team members coming into the office twice a week
- Flexible working hours
- Virtual Shares for every employee
- Regular in-person team events
- Monthly full-day hacking sessions (Hack Fridays)
- 30 days of annual leave excluding public holidays
- Mental health resources
- Competitive benefits tailored to the employee's location
- Diverse and internationally distributed team
- Open communication and regular feedback