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Job Description
Structured overview of role & requirementsAbout This Role
Lead deployment, maintenance, and optimization of production applications ensuring high availability, scalability, and security for corporate customers.
Architect and enhance deployment automation, monitoring, logging, and alerting infrastructure to improve reliability and performance.
Implement AI-driven automation opportunities and serve as a technical mentor to junior engineers, guiding on complex technical challenges.
Minimum Requirements
Bachelor’s degree in computer science, engineering, or related field (or equivalent experience).
7+ years of experience in DevOps, Site Reliability Engineering, or similar roles with production-grade environments.
Strong expertise in Docker, Kubernetes (including Kustomize, Helm, Argo CD), Linux systems administration, and infrastructure-as-code tools (Puppet, Ansible, Terraform, or equivalent).
Proficiency in programming/scripting languages such as Python or Bash and advanced experience with SQL and relational databases (PostgreSQL or Oracle).
Ideal Candidate Profile
Demonstrated ability to design and manage complex, production-ready Kubernetes clusters and CI/CD pipelines.
Experience with integrating observability and monitoring stacks (Prometheus, Grafana, Alertmanager) and working cross-functionally with R&D, Support, and Security teams.
Track record of mentoring engineers and driving technology adoption of emerging DevOps tools and automation, including AI-driven solutions.
