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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
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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
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
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?
- Scandit
Engineering Manager, Platform(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenZürich, Berlin - Doctolib
Engineering Manager - Observability & Reliability Engineering Obsession(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - 1130 TRAVEL AUDIENCE GmbH
Engineering Manager – Platform Engineering / SRE(m/w/x)
Vollzeitmit HomeofficeManagementBerlin - Taxfix
Security Engineering Manager - Associate(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Moss
Senior Platform Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin