Cloud Engineer
3 weeks ago
About InfoCepts
InfoCepts is a global leader of end-to-end data & analytics solutions with nearly 20 years of experience, also named as Gartner's 2020, 2021 and 2022 customers' choice for Data & Analytics providers. We continue to grow rapidly year over year, now employing more than 1,200 people in offices across the globe. As we have grown, we have stayed true to our mission—to always help our customers stay modern that help them make smart, data-driven decisions. Since 2004, we have deployed hundreds of high performance analytics applications over web and mobile platforms, built several advanced analytics models, processed petabytes of data using Big Data technologies and delivered several high impact business solutions. Driven by our vision of delivering great customer experiences, we are looking for professionals who are passionate about making the world a better place by leveraging the power of data.
Location: Central
Roles and Responsibilities:
- Design, deploy, and manage Kubernetes clusters in cloud platforms (AWS, Azure, or GCP).
- Automate infrastructure deployment
- Implement best practices for containerization and orchestration across multiple environments.
- Ensure the reliability, scalability, and security of the Kubernetes infrastructure.
- Monitor and maintain cluster health, load balancing, and service discovery mechanisms.
- Collaborate with DevOps and development teams to create efficient CI/CD pipelines for seamless software delivery.
- Troubleshoot production issues related to containers, microservices, and networking.
- Optimize cloud resource usage to achieve cost-efficiency and performance tuning.
- Stay updated with the latest technologies and trends in Kubernetes and cloud-native practices.
Skills Required:
- 3+ years of experience in cloud infrastructure engineering or DevOps roles.
- Hands-on experience with Kubernetes (setting up clusters, managing pods, scaling workloads).
- Experience with at least one major cloud platform: AWS, Azure, or GCP.
- Strong understanding of containerization tools
- Familiarity with infrastructure-as-code tools
- Knowledge of CI/CD tools like Jenkins, GitLab CI, or ArgoCD.
- Proficiency in scripting languages
Scalability
Kubernetes
Big Data
Pipelines
Design Patterns
AWS
Infrastructure Deployment
Microservices
Containerization
Performance Tuning
Docker
Authentication
Orchestration
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