Job
Description
Summary Bitkraft Technologies LLP is looking for a Senior DevOps Engineer to join our software engineering team. The DevOps engineer will be responsible for implementing cutting-edge technology and solving real-life challenges in a variety of client environments using VI Editor & YAML Editor. If you love solving problems, are a team player, and want to work in a fast-paced environment with core technical and business challenges, we would like to meet you. Key Skills Azure, GitHub Actions, Kubernetes, Infrastructure, Terraform AWS Bedrock (part of Generative AI), Amazon Q, Generative AI, Quicksight Pro Certification in Cloud Technologies Key Responsibilities DevOps Frameworks : Implement and work with newer frameworks in the DevOps landscape, ensuring up-to-date practices and methodologies. Infrastructure as Code : Develop and maintain infrastructure as code solutions, enabling scalable and manageable infrastructure deployment. Microservice Architecture Management : Manage and optimize microservices architectures, ensuring high availability and efficient operation of services. GitHub Actions : Utilize mandatory GitHub actions for automating workflows, including CI/CD pipelines and infrastructure deployment. Infrastructure Automation : Focus on automating the building and maintenance of infrastructure, both in cloud environments and on-premises setups. Cloud and On-Premise Solutions : Work across both cloud and on-premise environments, demonstrating flexibility and adaptability in various infrastructural contexts. Kubernetes Expertise : Manage and optimize container orchestration using Kubernetes, ensuring efficient deployment, scaling, and management of applications. Repository Management : Experience working with both Monorepo and polyrepo setups, understanding the nuances and best practices of each. Tech Stack Proficiency : Proficient in Java and able to leverage this in a DevOps context to improve systems and processes. AWS & Generative AI : Work with AWS Bedrock, Amazon Q, and other Generative AI tools to optimize cloud and automation processes. Visualization & Monitoring : Utilize AWS Quicksight for data visualization and monitoring infrastructure performance. Qualifications Proven experience as a DevOps Engineer, with a focus on modern DevOps practices and tools. Strong knowledge of infrastructure as code and experience in managing microservice architectures. Proficient in GitHub Actions and experienced in automating infrastructure development. Experience working with both cloud and on-premises environments. Demonstrable skills in Kubernetes and familiarity with Monorepo and polyrepo setups Technical proficiency in Java. Experience with AWS Bedrock, Amazon Q, and Generative AI tools. Strong expertise in AWS Quicksight for infrastructure monitoring. Cloud Pro Certification is highly preferred. Excellent problem-solving skills and the ability to work independently or as part of a team. Strong communication skills and the ability to collaborate effectively with cross-functional teams. Experience 5+ years
