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Engineering Manager - Cloud & SRE(m/w/x)
Managing a cloud and SRE engineering team at a fintech app company. 3+ years of leadership experience with Kubernetes and CI/CD required. 30 vacation days, work from abroad allowance.
Anforderungen
- 3+ years leading engineering team
- Strong technical background in cloud infrastructure
- Experience with major cloud provider (GCP preferred; AWS or Azure transferable)
- Familiarity with Kubernetes in production
- Familiarity with CI/CD pipelines
- Familiarity with Infrastructure as Code (Terraform or similar)
- Active user of AI-assisted development tools (Claude, Copilot, Cursor, or similar)
- Exposure to AI/ML supporting infrastructure
- Track record of driving team outcomes using metrics, OKRs, or KPIs
- Effective communicator across audiences
- Experience with Agile/Scrum
- Experience with platform consolidation, multi-cloud, or infrastructure migrations
- SRE practices: SLOs, incident management, on-call, observability
- GCP Landing Zones, GitOps, or service mesh
- Cloud cost optimization experience
- Experience supporting AI/ML workloads at scale
- Background managing platform/infrastructure teams
- Willingness to apply even if not meeting all requirements
Aufgaben
- Lead and grow the engineering team
- Hire, coach, and develop cloud/SRE engineers
- Conduct meaningful 1:1s with engineers
- Set development goals for engineers
- Actively manage engineer performance
- Build a high-performance team culture
- Foster psychological safety within the team
- Promote ownership within the team
- Encourage continuous improvement
- Champion AI adoption within the team
- Encourage AI-assisted workflows
- Raise the bar on AI for productivity
- Evaluate team capacity
- Balance workloads across the team
- Advocate for team resources
- Own team delivery and reliability
- Own team outcomes against OKRs
- Prioritize effectively
- Track progress with metrics
- Delegate tasks without micromanaging
- Ensure rigorous deployment pipelines
- Ensure production readiness
- Implement incident management practices
- Drive SLO adherence
- Drive operational excellence in production infrastructure
- Shape platform strategy
- Partner with Technical Leadership and Architecture
- Align infrastructure work with technology strategy
- Lead team's contribution to platform consolidation
- Lead team's contribution to platform evolution
- Support AI/ML platform needs
- Support agent observability
- Support AI workload infrastructure
- Support AI development lifecycle tooling
- Evaluate technical trade-offs
- Balance reliability, cost, and security
- Balance delivery speed
- Communicate technical trade-offs to stakeholders
- Partner across the organization
- Bridge team and stakeholders
- Align priorities with peer EMs
- Proactively surface blockers
- Manage dependencies
- Keep information flowing
Berufserfahrung
- 3 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- GCP
- AWS
- Azure
- Kubernetes
- CI/CD pipelines
- Terraform
- Claude
- Copilot
- Cursor
- Agile/Scrum
- GitOps
- ArgoCD
- Kargo
- service mesh
Benefits
Mehr Urlaubstage
- 30 annual vacation days
Flexibles Arbeiten
- Flexible working hours
Sonstige Zulagen
- Work from abroad allowance
- Monthly allowance for services
Mentale Gesundheitsförderung
- Mental health coaching sessions
Gesundheits- & Fitnessangebote
- Yoga
Attraktive Vergütung
- Employee stock options
Team Events & Ausflüge
- Team social events
- Internal tech meetups
Sonstige Vorteile
- Free tax declaration filing
- Support for personal tax questions
Lockere Unternehmenskultur
- Dogs allowed in office
Noch nicht perfekt?
- bunchVollzeitmit HomeofficeBerufserfahrenBerlin
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Engineering Manager - Cloud & SRE(m/w/x)
Managing a cloud and SRE engineering team at a fintech app company. 3+ years of leadership experience with Kubernetes and CI/CD required. 30 vacation days, work from abroad allowance.
Anforderungen
- 3+ years leading engineering team
- Strong technical background in cloud infrastructure
- Experience with major cloud provider (GCP preferred; AWS or Azure transferable)
- Familiarity with Kubernetes in production
- Familiarity with CI/CD pipelines
- Familiarity with Infrastructure as Code (Terraform or similar)
- Active user of AI-assisted development tools (Claude, Copilot, Cursor, or similar)
- Exposure to AI/ML supporting infrastructure
- Track record of driving team outcomes using metrics, OKRs, or KPIs
- Effective communicator across audiences
- Experience with Agile/Scrum
- Experience with platform consolidation, multi-cloud, or infrastructure migrations
- SRE practices: SLOs, incident management, on-call, observability
- GCP Landing Zones, GitOps, or service mesh
- Cloud cost optimization experience
- Experience supporting AI/ML workloads at scale
- Background managing platform/infrastructure teams
- Willingness to apply even if not meeting all requirements
Aufgaben
- Lead and grow the engineering team
- Hire, coach, and develop cloud/SRE engineers
- Conduct meaningful 1:1s with engineers
- Set development goals for engineers
- Actively manage engineer performance
- Build a high-performance team culture
- Foster psychological safety within the team
- Promote ownership within the team
- Encourage continuous improvement
- Champion AI adoption within the team
- Encourage AI-assisted workflows
- Raise the bar on AI for productivity
- Evaluate team capacity
- Balance workloads across the team
- Advocate for team resources
- Own team delivery and reliability
- Own team outcomes against OKRs
- Prioritize effectively
- Track progress with metrics
- Delegate tasks without micromanaging
- Ensure rigorous deployment pipelines
- Ensure production readiness
- Implement incident management practices
- Drive SLO adherence
- Drive operational excellence in production infrastructure
- Shape platform strategy
- Partner with Technical Leadership and Architecture
- Align infrastructure work with technology strategy
- Lead team's contribution to platform consolidation
- Lead team's contribution to platform evolution
- Support AI/ML platform needs
- Support agent observability
- Support AI workload infrastructure
- Support AI development lifecycle tooling
- Evaluate technical trade-offs
- Balance reliability, cost, and security
- Balance delivery speed
- Communicate technical trade-offs to stakeholders
- Partner across the organization
- Bridge team and stakeholders
- Align priorities with peer EMs
- Proactively surface blockers
- Manage dependencies
- Keep information flowing
Berufserfahrung
- 3 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- GCP
- AWS
- Azure
- Kubernetes
- CI/CD pipelines
- Terraform
- Claude
- Copilot
- Cursor
- Agile/Scrum
- GitOps
- ArgoCD
- Kargo
- service mesh
Benefits
Mehr Urlaubstage
- 30 annual vacation days
Flexibles Arbeiten
- Flexible working hours
Sonstige Zulagen
- Work from abroad allowance
- Monthly allowance for services
Mentale Gesundheitsförderung
- Mental health coaching sessions
Gesundheits- & Fitnessangebote
- Yoga
Attraktive Vergütung
- Employee stock options
Team Events & Ausflüge
- Team social events
- Internal tech meetups
Sonstige Vorteile
- Free tax declaration filing
- Support for personal tax questions
Lockere Unternehmenskultur
- Dogs allowed in office
Über das Unternehmen
Taxfix
Branche
FinancialServices
Beschreibung
The company simplifies tax filing through an intuitive app, enabling users to file taxes confidently.
Noch nicht perfekt?
- bunch
Engineering Manager - Platform(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenBerlin - Scandit
Engineering Manager, Platform(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenZürich, Berlin - Doctolib
Engineering Manager - Observability & Reliability Engineering Obsession(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Awin
Engineering Manager(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin, Hannover, München - Finom
Head of Infrastructure & Reliability(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin