Main Purpose:
• We are recruiting an experienced Cloud Platform DevOps Lead to manage the team of DevOps engineers and support the ongoing design, development and management of an advanced data and analytics platform on AWS.• Work on POCs and solution architecture for new platform components.
• Provisioning and automation of AWS Infrastructure using IaC.
• Collaborate with data engineers and data scientists while working on CI/CD pipelines and MLOps.
• Implement platform observability, security and telemetry to ensure proactive monitoring and alerting of Cloud applications.
• Application and environment support for cloud infrastructure.
Knowledge Skills and Abilities, Key Responsibilities:
Technical Skillsets:
- Strong experience in containerization and container orchestration engines like ECS, EKS.
- Experience with Cloud Native ecosystem, K8s and GitOps continuous delivery tools
- Experience with programming using Python, Bash.
- Experience working with IaC frameworks like AWS CDK, Terraform, Cloud Formation.
- Knowledge of configuration management tools like Ansible or equivalent.
- Strong experience working with AWS IAM, data and analytics services.
- Experience with automation, monitoring, implementing CI/CD.
- Experience in building container images securely and image lifecycle management.
- AWS certifications are a plus.
Experience:
- Minimum 5-10 years of hands-on Cloud DevOps experience.
- Minimum 2-5 years of technical leadership experience.
- Bachelor’s degree or higher in engineering.
- Experience of 2-4 years in Investment Bank is preferred.
Competencies:
- Team management and mentorship
- Strong oral and written communications with strong inter-personal skills.
- Strong analytical and problem-solving skills.
- Capable of working in groups as well as independently.
- Professional management of employee relationships at all levels.
- Ability to maintain the confidentiality of sensitive information.
- Team player with an enthusiastic approach to fresh challenges
Key Relationships and Department Overview:
Key Relationships:
- Internal: Technical and Functional stakeholders based in Geneva, UK and other Trafigura locations. Work closely with data engineers and data scientists.
- External: Strategic outsourcing partners.
Department: The Data Science and Engineering team researches, develops and provides advanced analytics and data services to the trading business and other commercial operations at Trafigura. It is comprised of Data Scientists, Data Engineers and Quantitative Finance experts. It is a commercially driven, front office aligned team, that works in close partnership with the trading desks, global research and enterprise technology.
Equal Opportunity Employer
We are an Equal Opportunity Employer and take pride in a diverse workforce. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, colour, religion, gender, sexual orientation, national origin, age, marital or veteran status, medical condition or handicap, disability, or any other legally protected status.
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