Engineering Manager

Grupa Allegro Sp. z o. o. operates in the fintech sector. The position involves leading a platform engineering team responsible for JVM and .NET platform health, DevOps tooling, CI/CD, observability, and deployment infrastructure across all FinTech products.

• Competencies in People Management, Talent Development, Strategic Thinking, Problem-Solving & Decision-Making, and Stakeholder Management.
• Skills in Back-End Programming, Business Continuity and Resilience Planning, Software Architecture, DevOps and CI/CD, Agile Methodologies, and Scalability and Resilience.
• Knowledge in Cloud Infrastructure Management (Microsoft Azure), Container Orchestration (AKS, Istio Service Mesh), Infrastructure as Code (Pulumi), and JVM and .NET Platform Management.
• General competencies including Communication, Change Agility, Risk Savvy, Change Management, Continuous Improvement & Innovation, Resilience and Adaptability, AI Literacy, and Analytical Thinking.
• Fluent in Polish (C1) and strong command of English (B2).
• Engineering specialization in either .NET or Java.

• Leads and manages a cross-functional platform engineering team.
• Drives platform adoption and removes technical and operational blockers across product teams.
• Oversees infrastructure provisioning, cloud resource management, and container orchestration on Azure Kubernetes Service (AKS).
• Coordinates fleet-scale migrations, including JVM and .NET platform development, Java, .NET, and Spring Boot upgrades.
• Optimizes CI/CD pipelines, GitOps deployment safety (canary releases, configuration versioning), and infrastructure cost efficiency.
• Integrates AI tools into platform engineering workflows to accelerate developer velocity company-wide.
• Manages capacity, sequencing, and cloud budgeting (Azure).
• Runs team ceremonies, conducts 1:1 sessions, provides performance feedback, and leads talent acquisition.
• Validates and deploys alternative logging backends like VictoriaLogs due to high cloud logging and observability costs.
• Scales pipeline throughput and deployment safety to match development speed driven by AI tools.
• Modernizes JVM and .NET platform and tracks library adoption across products.
• Balances tight roadmap deadlines with team capacity and high operational interrupt volumes.