Cloud Operations Engineer (Kubernetes & AWS)

Our Kubernetes Architect/Engineer will be instrumental to the overall success of the team and responsibilities will vary; assist scrum teams with Private Cloud, On Prem, AWS Cloud, Azure and Kubernetes best practices, identify and mitigate risks to security procedures, assist in solving complex problems, establish the infrastructure and related methodologies for a new project in the Private Cloud, On Prem, AWS Cloud, Azure Environment and full life cycle support (planning, designing, building, supporting multiple applications development and test environments)
Our Kubernetes Architect/Engineer will be highly analytical; possesses the ability to analyze project needs, design, build, configure, test, install software and patches, and manage all aspects and components of the application development, test, and production environments in an Private Cloud, On Prem, AWS Cloud, Azure and Kubernetes Cluster Environment
This engineer is highly technical; able to develop and produce Architecture drawings using Visio/LucidChart/related tool using standard architecture notations
Our candidate must also function as a design team member to engineer, implement, and manage DevSecOps Cloud Environments using a combination of Private Cloud, On Prem, AWS Cloud, Azure tools and services developed using Agile methodologies
Planning and supporting Kubernetes clusters to plan and execute the migration of non-containerized/containerized microservices into a Kubernetes based infrastructure Qualifications and Skills:
Bachelors or Masters degree in Computer Science or equivalent.
10+ years experience in Software Engineering, preferably in SaaS environments
5+ years of Kubernetes production experience
Experience with AWS, Azure, Private Cloud and OnPrem Platform
Experience with horizontal and vertical autoscaling
Experience with EKS-Engine preferred
Deep understanding of Kubernetes services, load balancing, networking and security
Experience with Istio
Experience deploying and managing stateful applications and storage in Kubernetes
Experience operationalizing AI/ML DevOps
Excellent knowledge of public and private cloud technologies
Solid hands-on software development experience in big data environments, utilizing Go and/or Python
Experience with microservice architectures
Experience with HashiCorp tools (Good have)
Excellent knowledge of Linux.
Demonstrated ability to learn new technologies quickly and independently.
Experience working on agile projects and understanding agile concepts
Ability to work and achieve stretch goals in a very innovative and fast paced environment.
CKA, AWS, and Azure certifications preferred.
Locations: Hyderabad, India, Remote- India.