Support enterprise messaging and event-driven architectures, including Kafka-based platforms and integrations.
Apply capacity planning and availability management best practices to improve platform resilience.
Develop automation to reduce operational toil, minimize manual intervention, and improve service efficiency.
Participate in production support, problem management, release management, and change management activities.
Required Qualifications
Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related discipline.
3+ years of experience in Site Reliability Engineering (SRE), Platform Reliability Engineering (PRE), DevOps, Production Support, or Application Support.
Strong programming and scripting experience in one or more languages such as Python, Go, or Java.
Solid understanding of software engineering principles, data structures, algorithms, and system design.
Strong working knowledge of Linux/Unix and Windows Server environments.
Experience with modern monitoring and observability practices and tooling.
Strong understanding of observability and reliability concepts, including metrics, logs, traces, SLIs, SLOs, and alerting.
Good understanding of event-driven architectures and enterprise messaging platforms such as Kafka and MQ.
Experience troubleshooting distributed production systems, including APIs, middleware components, and message flows.
Understanding incident management, problem management, root cause analysis, and operational support processes.
Familiarity with source control, CI/CD pipelines, Infrastructure as Code (IaC), and DevOps practices.
Strong verbal and written communication skills with the ability to engage both technical and business stakeholders.
Self-motivated, detail-oriented, and capable of working independently in a fast-paced environment.
Preferred Qualifications
Observability & Monitoring: Grafana, Prometheus, OpenTelemetry and Loki
DevOps & Automation: Git, Ansible and CI/CD Frameworks
Container & Platform Technologies: Docker, Kubernetes
Data & Messaging Platforms: Kafka, Redis, MQ
Cloud Technologies: AWS
