Engineering Manager (Cloud & SRE)

About the role

Join Taxfix, a fast-growing fintech startup, as an Engineering Manager. In this role, you will lead and grow a team of cloud/SRE engineers, own delivery and reliability, shape platform strategy, and partner across the organization. You will have the opportunity to do meaningful, people-centric work with an international team of passionate professionals. Benefits include holistic wellbeing support, employee stock options, flexible working hours, and a generous learning budget. Key missions: Lead and grow a team of cloud/SRE engineers, focusing on hiring, coaching, and developing team members.. Own the team's outcomes against OKRs, ensuring rigorous deployment pipelines, production readiness, and incident management practices.. Partner with Technical Leadership and Architecture to align infrastructure work with the technology strategy, leading the team's contribution to platform consolidation and evolution. Profile: - Experience with at least one major cloud provider (GCP preferred; AWS or Azure transferable) - Familiarity with Kubernetes in production, CI/CD pipelines, and Infrastructure as Code (Terraform or similar) - 3+ years leading an engineering team (hiring, coaching, performance management, career development) - Exposure to AI/ML supporting infrastructure such as agent observability, model serving, AI development lifecycle, or ML pipeline operations - Experience with Agile/Scrum - Track record of driving team outcomes using metrics, OKRs, or KPIs - Active user of AI-assisted development tools (Claude, Copilot, Cursor, or similar) - Effective communicator across engineering, product, and leadership audiences - Strong technical background in cloud infrastructure - you can guide architectural decisions and hold a high quality bar - SRE practices: SLOs, incident management, on-call, observability - Experience with platform consolidation, multi-cloud environments, or infrastructure migrations - GCP Landing Zones, GitOps (ArgoCD/Kargo), or service mesh - Cloud cost optimization experience - Experience supporting AI/ML workloads at scale (GPU scheduling, model deployment infrastructure, vector databases) - Background managing platform/infrastructure teams specifically - Not sure if you meet all the requirements for this role? Please apply anyway. You might bring something special to the team that we hadn't considered previously