Engineering Manager leading mission - driven engineering teams to tackle complex challenges in IT Service Management. Collaborating across functions to drive product vision using Agile methodologies.
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.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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