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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates deep expertise in Kubernetes, AWS, and infrastructure as code, with a strong focus on building and operating resilient systems. Proven ability to mentor teams, manage hybrid infrastructure, and drive technical decisions across engineering disciplines.
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
KubernetesAWSTerraformGoPythonNetworkingLinuxGitOpsIncident ManagementReliability Engineering
Soft Skills
MentoringConsensus BuildingOwnership Mindset
Tools & Technologies
ArgoCDBare-Metal InfrastructureDistributed Storage SystemsBGP-Level Networking
Industry Keywords
Hybrid InfrastructureCloud-Native TechnologyObservabilitySecurityRoot-Cause Remediation
Tech Stack
Tools & technologiesAWSCloudKubernetesLinuxPythonTerraformGo
About the role
Key responsibilities & impact- Own reliability, capacity, and cost efficiency of DeepL’s CPU and GPU compute infrastructure across AWS and on-premises environments
- Manage the hybrid platform serving products and research, including hardware lifecycle
- Shape platform architecture and make technical decisions with peers
- Design, build, and operate production-grade Kubernetes clusters across cloud and on-premises infrastructure
- Drive unification of workloads across on-premises hardware and AWS
- Support research teams adopting cloud-native technology and ways of working
- Define infrastructure-as-code and platform standards
- Strengthen observability and security
- Mentor infrastructure engineers through design reviews and architecture decisions
- Build consensus across engineering teams and deliver platform changes
- Lead hybrid infrastructure incident response through root-cause remediation
- Help sustain a long-term on-call rotation
Requirements
What you’ll need- Deep, hands-on Kubernetes expertise, including designing, building, and operating clusters at scale through their full lifecycle
- Depth at scale in either public cloud or on-prem infrastructure, with credibility to work in the other
- AWS experience preferred
- Bare-metal or data centre experience strongly valued
- Networking and Linux expertise, including debugging from container through host to network edge
- Infrastructure as code experience with Terraform or equivalent
- GitOps delivery experience with tooling such as ArgoCD in production environments
- Software engineering skills in at least one major language; Go or Python preferred
- Experience building tooling relied upon by other engineers
- Track record of technical ownership spanning several teams
- Strong incident-management and reliability-engineering discipline
- Ownership mindset focused on building resilient systems
- Bonus: GPU infrastructure for training or inference at scale
- Bonus: Distributed storage systems such as Ceph
- Bonus: Serving researchers or data scientists as platform customers
- Bonus: BGP-level networking in hybrid or on-prem environments
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 Hack Fridays
- 30 days of annual leave excluding public holidays
- Mental health resources
- Competitive benefits tailored to location
- Diverse and internationally distributed team
- Open communication and regular feedback