- Architect scale and maintain self-managed Redis Kafka Elasticsearch/OpenSearch and MongoDB clusters
- Collaborate with Product and Engineering teams to design resilient architectures for high-scale real-time cloud operations
- Proactively identify bottlenecks and security risks implementing robust solutions with minimal supervision
- Ensure high availability and disaster recovery for distributed systems through Infrastructure-as-Code and CI/CD best practices
- Optimize performance and reliability of cloud-native systems focusing on observability and automated recovery processes
- Mentor team members and contribute to DevOps knowledge-sharing across the organization
Qualifications :
- At least 5 years of hands-on experience as a DevOps Engineer in high-traffic real-time environments
- Advanced knowledge of Google Cloud Platform
- Production-level expertise in Elasticsearch/OpenSearch
- High proficiency in managing self-managed deployments of Kafka Redis or MongoDB
- Proven track record with Infrastructure-as-Code and modern CI/CD pipelines
- Strong skills in Kubernetes and Docker
- Experience with observability tools like Prometheus Datadog and Loki
- Proficiency in scripting languages (Go Python Bash)
- At least an Upper-Intermediate level of English
WILL BE A PLUS:
- Experience with PostgreSQL or Pulumi
- Familiarity with additional security compliance frameworks relevant to finance healthcare or government sectors
- Contributions to open-source DevOps or security tools
Additional Information :
PERSONAL PROFILE
- Self-motivated and comfortable working autonomously
- Passion for deep technical ownership and system optimization
- Strong problem-solving skills with a proactive mindset
- Excellent communication skills for cross-functional collaboration
Remote Work :
Yes
Employment Type :
Full-time
Architect scale and maintain self-managed Redis Kafka Elasticsearch/OpenSearch and MongoDB clustersCollaborate with Product and Engineering teams to design resilient architectures for high-scale real-time cloud operationsProactively identify bottlenecks and security risks implementing robust solutio...
- Architect scale and maintain self-managed Redis Kafka Elasticsearch/OpenSearch and MongoDB clusters
- Collaborate with Product and Engineering teams to design resilient architectures for high-scale real-time cloud operations
- Proactively identify bottlenecks and security risks implementing robust solutions with minimal supervision
- Ensure high availability and disaster recovery for distributed systems through Infrastructure-as-Code and CI/CD best practices
- Optimize performance and reliability of cloud-native systems focusing on observability and automated recovery processes
- Mentor team members and contribute to DevOps knowledge-sharing across the organization
Qualifications :
- At least 5 years of hands-on experience as a DevOps Engineer in high-traffic real-time environments
- Advanced knowledge of Google Cloud Platform
- Production-level expertise in Elasticsearch/OpenSearch
- High proficiency in managing self-managed deployments of Kafka Redis or MongoDB
- Proven track record with Infrastructure-as-Code and modern CI/CD pipelines
- Strong skills in Kubernetes and Docker
- Experience with observability tools like Prometheus Datadog and Loki
- Proficiency in scripting languages (Go Python Bash)
- At least an Upper-Intermediate level of English
WILL BE A PLUS:
- Experience with PostgreSQL or Pulumi
- Familiarity with additional security compliance frameworks relevant to finance healthcare or government sectors
- Contributions to open-source DevOps or security tools
Additional Information :
PERSONAL PROFILE
- Self-motivated and comfortable working autonomously
- Passion for deep technical ownership and system optimization
- Strong problem-solving skills with a proactive mindset
- Excellent communication skills for cross-functional collaboration
Remote Work :
Yes
Employment Type :
Full-time
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