Efficiency: Designing and implementing software platforms and monitoring frameworks for efficient, automated, and intelligent service-oriented architecture (SOA) governance.
Excellent programming abilities with a strong command of data structures and fundamental algorithms. For traditional coding roles, proficiency in C/C++ is required; for intelligent coding roles, proficiency in Python is required. Candidates are required to use these languages to implement complex algorithms and build iterative models. Candidates should also have a strong engineering mindset with the ability to balance performance and cost;
Collaborate with application teams, architects, and security specialists to ensure smooth delivery and operation of cloud-native and container-based applications.
Champion observability-led engineering through full-stack Dynatrace adoption, AIOps integration, and data-driven reliability decision-making at every layer of the stack.
A key objective of this role is to drive AIOps-enabled operations and self-healing automation to reduce alert noise, improve Mean Time To Detect (MTTD), reduce Mean Time To Resolve (MTTR), and improve overall platform and application reliability.