Software Engineer responsible for improving Adobe's CI/CD platform through design and operational excellence. Collaborates with teams to ensure scalable, cloud-native applications.
Responsibilities
Actively contribute to the design and development of the organization's next-generation CI/CD ecosystem.
Investigate and root-cause failures in containerized workflows deployed at scale.
Partner with other development teams to ensure applications are crafted to be cloud-native and scalable.
Perform day-to-day operational tasks such as upgrades and patching of platforms.
Supervise the health of the platform and applications using monitoring tools.
Handle tasks and projects with Agile methodologies.
Identify recurring issues and collaborate with the engineering team to propose fixes or automation.
Respond to and drive the resolution of high-priority production issues to minimize downtime.
Participate in on-call rotation to resolve and get to the bottom of root cause issues.
Stay updated with the latest industry trends and technologies in container orchestration.
Requirements
B.Tech Degree in Computer Science or equivalent practical experience.
Minimum of 2 - 4 years of experience working with Kubernetes.
Strong software development skills in Go Lang. Experience with Python or similar languages preferred.
Familiarity with the 12-factor principles and software development lifecycle.
Understanding of GIT Ops pipelines and debugging workflow failures. Experience with GitHub Actions is preferred.
Familiarity and expertise with modern build systems such as Bazel is preferred.
Strong hands-on experience with Argo CD, Workflows, Rollouts, Events and Deployments
Proficiency with Helm charts for managing Kubernetes applications.
Deep understanding of Kubernetes architecture and Docker, resource management, and solving issues.
Experienced with AWS, Azure, or other cloud platforms. (AWS / Azure certifications encouraged.)
Understanding of cloud network architectures (VNET/VPC/Nat Gateway/Envoy etc.)
Solid understanding of time-series monitoring tools (such as Prometheus, Grafana, etc.)
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