Backend Engineer

• Partner with Product Owners to understand requirements and break them down into deliverable work items
• Design and develop scalable resilient and observable microservices
• Own the complete software delivery lifecycle from design through deployment
• Deliver solutions within agreed timelines while maintaining engineering quality standards
• Provide production support and resolve complex incidents
• Conduct root cause analysis and implement permanent fixes for recurring issues
• Act as a technical consultant for platform users and application teams
• Collaborate with crossfunctional technology teams and stakeholders
• Manage technical debt and drive platform modernization initiatives
• Maintain strong security and vulnerability management practices
• Mentor junior engineers and promote engineering best practices
• Contribute to DevOps Platform Engineering and Site Reliability Engineering initiatives
• Continuously improve platform reliability performance and supportability

To be successful in this role you should have

• Bachelors Degree in Computer Science or a related discipline
• 8 years of Software Engineering experience
• At least 3 years in a Technical Lead DevOps Platform Engineering or SRE role
• Strong understanding of Internet and Web technologies including HTTP DNS TLS and Load Balancing
• Strong knowledge of Reverse Proxies Service Meshes and API Gateways
• Experience with Monitoring and Observability platforms such as Grafana and InfluxDB
• Understanding of TimeSeries Databases and Data Visualization concepts
• Strong troubleshooting and analytical skills
• Experience managing and resolving critical production incidents
• Strong stakeholder management and communication skills
• Ability to work effectively in globally distributed teams
• Strong learning mindset and ability to quickly adopt new technologies
• Experience mentoring engineers and driving knowledge sharing
• Strong LinuxUnix administration knowledge is desirable
• Experience with KVM or VMware virtualization is beneficial
• Experience with AWS GCP or Azure cloud platforms is advantageous
• Familiarity with Docker and Kubernetes is preferred