Devops Engineer

Infrastructure Management

• Deploy, configure, monitor, and maintain cloud and on-premise infrastructure.
• Ensure optimal performance, scalability, and reliability across environments.
• Manage application log backups and routine maintenance activities.

• Research, diagnose, troubleshoot, and identify solutions to resolve system issues.
• Perform full root cause analysis to understand the origin of every issue, not just the symptom.
• Configure and troubleshoot load balancers (Nginx experience is a plus).
• Troubleshoot networking issues including routing, connectivity, and VPN.

• Escalate unresolved issues to the appropriate internal teams (e.g. software developers) with complete diagnostic context.
• Work with development teams in an agile delivery environment.

• Document technical knowledge in the form of notes, runbooks, and manuals.

Technical — Mandatory

• 4–6 years of professional experience as a DevOps / System Engineer.
• Fluency in Python, including Python testing best practices.
• Extensive hands-on experience with AWS managed products and services: EC2, ECS, EKS, ECR, Route 53, SES, ElastiCache, RDS, Redshift, CloudFormation.
• Strong experience with automation tooling: Terraform, Ansible, Jenkins.
• Strong experience with containers: Docker, Kubernetes.
• Strong experience with managed and self-hosted CI/CD tooling: Jenkins, Travis, Drone, Mule, Spinnaker.
• Strong understanding of DNS, TCPDUMP, CDNs, SSL, Git, firewalls, and networking concepts (VPC, subnetting, VPNs).
• Experience deploying microservice architectures, applications, and supporting services.
• Experience working on high-traffic, international systems.
• Familiarity with software security best practices.
• Understanding of monitoring tools: PagerDuty, CloudWatch, Datadog, Sentry, Prometheus, Icinga.
• Experience working in and advocating for agile environments.

• AWS Solution Architect / Professional certification (preferred).
• Experience with large-scale decoupled, service-oriented systems.
• Experience with distributed systems and databases (SQL, NoSQL, cache).
• Stream processing (Kafka), message queuing (RabbitMQ), and search/analytics platforms (ELK).

• Excellent organisational, verbal, and written communication skills.
• Strong team player with an aptitude and appetite for learning and implementing new open source technologies.
• Methodical, analytical approach to problem-solving.

• Bachelor's degree in Computer Science, IT, Engineering, or a related field.
• AWS certifications are an advantage.