Back
Medium competition due to strong employer brand and metro location but niche agentic AI specialization.
Medium - core ML and cloud skills are transferable, but agentic AI stack expertise increases specialization.
High - explicit 5–10 years plus mandatory cloud, Kubernetes, CI/CD, and agentic AI tech requirements.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, implement, and optimize complex agent orchestration and multi-agent workflows using frameworks like LangChain, Langraph, or GoogleADK.
Lead event-driven architecture development and enhancements, ensuring high availability and reliability in runtime components.
Mentor junior engineers, uphold code quality through testing and reviews, and drive improvements across deployment, monitoring, and incident response in hybrid and multi-cloud environments.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
5-10 years of experience designing, building, and deploying distributed or agentic systems.
Proficiency in Python and familiarity with at least one modern programming language such as Java, Go, or C++.
Experience with event-driven, microservices, or multi-agent architectures, cloud-native development on AWS, Google Cloud, and/or Azure, and skills in CI/CD, Kubernetes, and monitoring solutions.
Experienced in independently managing complex technical projects involving agentic AI and event-driven architectures.
Capable mentor with experience fostering knowledge sharing and leading teams in cloud-native and multi-cloud environment operations.
Skilled collaborator across engineering, SRE, and product teams to drive platform innovation and adoption of best practices.