Job Description
5-7 Years
Shifts- Rotational
Hyderabad
JD:
5 -7 years of Strong experience with DevOps best practices for building and operating production platforms
Hands-on experience with Infrastructure as Code (Terraform, CloudFormation)
Expertise in CI/CD pipeline design and automation for application and ML workloads
Strong collaboration experience using Git, Gitflow, and release strategies
Strong experience with Kubernetes, including AWS EKS and ECS
Experience with configuration management across environments
Proactive and reactive monitoring and observability experience (Dynatrace preferred)
Experience integrating automated testing and security into CI/CD pipelines
Strong understanding of RESTful API design and integration
Experience developing and maintaining Java-based backend services and APIs (preferred)
Strong understanding of AWS cloud services and cloud native architectures
Solid Linux administration skills
Basic understanding of networking concepts (DNS, VPCs, load balancers, security groups)
Basic understanding of certificate management (TLS/SSL lifecycle)
Basic understanding of software design patterns and clean architecture
Exposure to ML engineering and MLOps workflows (model training, deployment, monitoring)
Ability to collaborate closely with data science teams
Platform and product mindset, treating the ML platform as an internal product
Experience with Dataiku on EKS and Java applications on EKS/ECS is a plus
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