Vacancies at Ezra

About the Role

The Senior Data Engineer will be reporting to the Data Engineering Team Lead.

Key Role Responsibilities

• Developing data processing pipelines
• Participate in the design, implementation, and release of data science initiatives
• Deliver high quality, testable, secure, readable, and documented software
• Collaborate effectively in English, with local and remote peers
• Assist in the evaluation of new technologies and initiatives

Requirements | What we are looking for

Essential Experience

• Working proficiency with Python or any other programming or scripting language (in addition to SQL or R)
• Advanced working proficiency with any RDBMS, including deployment and performance optimizations.
• Experience with GIT, automated testing and CI/CD
• Being familiar with the Linux environment as a user and developer (Debian is a plus).
• Minimum 5+ years working experience

Desired experience

• Deep understanding of PostgreSQL database
• Experience with software development best practices - include handling and logging errors, monitoring the system, building fault-tolerant pipelines, understanding how to scale up, addressing continuous integration
• Knowledge of database administration
• Working proficiency in Java/C++ is a plus
• Willingness to learn new technologies
• Modeling and data science is a plus
• People management skills are a plus

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Context of the role

In this role you will be responsible for designing, implementing, and deployment and maintainance of Ezra Platforms which encompasses the IAAS, containerized platforms and micro-services. You will play a crucial role in managing the infrastructure and driving the DevOps practices.

Key Responsibilities

Architecture and Design

• Design and implement scalable, resilient, and secure platform solutions
• Develop and maintain infrastructure-as-code using tools like Terraform, Cloud-Formation and Ansible
• Create and optimize CI/CD pipelines for efficient software delivery
• Architect cloud-native solutions leveraging containerization and microservices
• Implement disaster recovery and business continuity strategies

Infrastructure Management

• Manage and optimize our Public cloud infrastructure (AWS, Azure, or GCP)
• Manage and optimize private cloud infrastructure in partner premises.
• Implement best practices for cloud security, compliance, and cost optimization
• Design and implement multi-region and multi-cloud strategies
• Design and maintain containerized application environments using Docker
• Architect, deploy, and manage Kubernetes clusters for container orchestration

Automation and DevOps

• Develop automation scripts and tools to streamline operations and reduce manual tasks
• Integrate monitoring, alerting, and logging systems
• Ensure Standardized QA and Production environments through implementation of proper branching strategies
• Configure and manage load balancers (e.g., NGINX, HAProxy, cloud-native solutions)
• Implement and manage service mesh technologies (e.g., Istio, Linkerd) for microservices architectures

Performance Optimization

• Analyse and optimize system performance, identifying and resolving bottlenecks
• Conduct capacity planning and implement auto-scaling solutions
• Optimize container resource allocation and performance

Team Leadership and Collaboration

• Mentor junior engineers and provide technical guidance to the team
• Collaborate with cross-functional teams to align platform capabilities with business needs
• Contribute to technical decision-making and architectural reviews

Documentation and Knowledge Sharing

• Maintain comprehensive technical documentation for platform components and processes
• Contribute to internal knowledge bases and conduct knowledge-sharing sessions

L2 Support and Escalation Management

• Provide expert-level troubleshooting and resolution for critical platform and infrastructure problems
• Analyze recurring issues and implement long-term solutions to prevent future occurrences
• Collaborate with the operations team to improve support processes and knowledge transfer
• Conduct post-incident reviews and implement lessons learned to enhance system reliability

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field
• 5+ years of experience in platform engineering, DevOps, or similar roles
• Strong proficiency in at least one cloud platform (AWS, Azure, or GCP)
• Expert-level knowledge of containerization technologies (Docker, Kubernetes)
• Extensive experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation, pulumi)
• Proficiency in scripting languages (e.g.Bash, )
• Strong understanding of networking concepts, load balancing, and CDNs
• Experience with monitoring and observability tools (e.g., Prometheus, Grafana, ELK stack)
• Excellent problem-solving skills and ability to troubleshoot complex systems

Preferred Qualifications

• Experience with multi-cloud architectures
• Knowledge of service mesh technologies (e.g., Istio, Linkerd)
• Familiarity with serverless computing platforms
• Relevant certifications (e.g., AWS Certified Solutions Architect, CKAD, CKA)