Hybrid Engineering Manager

at Complexio

• Job title: Engineering Manager
• Job type: Full Time
• Experience level: Junior, Mid level
• Salary: Not specified
• Degree requirement: No Education Requirement
• Tech skills: AWS, Azure, Cloud, Docker, Google Cloud Platform, Grafana, Jenkins, Kubernetes, MongoDB, Neo4j, Postgres, Prometheus, Python, Redis, Terraform, Go
• Location requirements: Hybrid, Warsaw, Poland

About the role

• Engineering Manager for Complexio leading infrastructure projects and supporting AI applications. Collaborating with diverse teams to ensure client success and system reliability.

Responsibilities

• Play a key role in leading infrastructure projects, supporting AI-powered applications, and working closely with clients to ensure smooth deployment and integration.
• Collaborate with Software Engineers, Data Scientists, DevOps, and clients to ensure system reliability, efficient cloud-native deployments, and seamless client onboarding.
• Balance technical execution, project coordination, and stakeholder management.

Requirements

• 2–5 years of experience in leadership across infrastructure, DevOps, or site reliability engineering (SRE).
• Proven ability to hire, manage, and when necessary, let go of team members, with a strong focus on maintaining team alignment and performance standards.
• Experience working with cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes, Docker, ECS).
• Hands-on experience with infrastructure as code (IaC) tools such as Terraform, Pulumi, or CloudFormation.
• Strong understanding of CI/CD automation, using tools like GitHub Actions, ArgoCD, or Jenkins.
• Knowledge of monitoring and observability tools such as Prometheus, Grafana, Datadog, or OpenTelemetry.
• Experience with databases and storage solutions like Postgres, Redis, Neo4j, or MongoDB.
• Basic knowledge of networking, security, and identity management.
• Comfortable engaging with clients and stakeholders, with good communication skills.
• Interest in growing into a leadership role, with a willingness to take on more responsibility over time.
• Nice to have
• Experience with customer-facing technical roles (e.g., technical consulting, customer success, professional services).
• Familiarity with AI Ops and MLOps, managing AI models in production.
• Experience with scripting and automation (Python, Go, Bash).
• Knowledge of FinOps and cost optimization in cloud environments.

Benefits

• Join a pioneering joint venture at the intersection of AI and industry transformation.
• Work with a diverse and collaborative team of experts from various disciplines.
• Opportunity for professional growth and continuous learning in a dynamic field.