Vacancies at Ezra

Key Responsibilities

• Design, implement, and maintain robust database solutions.
• Capacity planning in line with the infrastructure. Design and Implement DBs that can scale.
• Optimize and tune database performance to ensure efficient data processing and retrieval.
• Develop and maintain ETL (Extract, Transform, Load) processes for data integration and migration.
• Ensure data integrity, consistency, and security across all database systems.
• Collaborate with software engineers, data scientists, and other stakeholders to define data requirements and develop solutions.
• Monitor and troubleshoot database issues, ensuring minimal downtime and quick resolution.
• Automate database management tasks using automation tools such as Ansible, Terraform and Bash scripting
• Implement backup and recovery strategies to safeguard critical data. Developing, managing and testing back-up and recovery plans
• Monitoring performance and managing parameters to provide fast query responses to front-end users
• Refining the logical design so that it can be translated into a specific data model
• Maintaining data standards, including adherence to the data protection act
• Writing database documentation, including data standards, procedures and definitions for the data dictionary (metadata)
• Controlling access permissions and privileges. Establishing the needs of users and monitoring user access and security
• Ensuring that storage, archiving, back-up and recovery procedures are functioning correctly
• Work directly with development and infrastructure teams to enhance the performance and observability of various database services through monitoring solutions (Grafana, ELK)
• Proficient with building data integrations using both API and file based protocols

Key Requirements

• BSc Degree in one of the following subject areas: Computer Science, Business Administration, Information Technology or related field preferred
• 4 - 5 years IT operation with strong understanding of database structures, theories, principles, and practices
• 4-5 years PostgreSQL Database Administration experience
• 5+ years of experience in database engineering or a similar role.
• Understanding of, and experience with, server-client computing and relational database environments
• Experience with data management and data processing flowcharting techniques
• Knowledge of reporting and query tools and practices
• Proficiency in SQL and experience with database management systems (e.g., MySQL, PostgreSQL, Oracle, SQL Server).
• Strong knowledge of data engineering concepts and ETL processes.
• Extensive experience with Linux operating systems and Bash scripting.
• Familiarity with cloud-based database solutions (e.g., AWS RDS, Google Cloud SQL, Azure SQL Database).
• Experience with NoSQL databases (e.g., MongoDB, Cassandra) is a plus.
• Strong problem-solving skills and the ability to work independently and as part of a team.
• Excellent communication skills and the ability to convey complex technical concepts to non-technical stakeholders.
• Undertstanding of big data technologies (Apache Hadoop, Spark) and DW solutions (Google Big-Query, Snowflake, Azure Synapse analytics)
• Knowledge in python would be an added advantage

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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