The Senior DevOps/Cloud Engineer will be part of DevOps and Cloud Engineers to design, implement, and manage cloud-based infrastructure and CI/CD pipelines. This role collaboration between development and operations teams. The ideal candidate will have hands on skills in cloud platforms (AWS, Azure), automation tools, and Infrastructure as Code. Primary focus is on implementing scalable and secure cloud provisioning in a fast-paced environment. Also, should be able to improve productivity by leveraging AI productivity tools.
Responsibilities
Will be responsible for implementing Infrastructure as Code by automating provisioning on resources in cloud following struct security guidelines provided by security team.
As part of the Scrum team you will be involved in sprint planning, assessing the tasks and completing on time with proper acceptance criteria.
Collaborate with other team members and dev teams to build complete end to end automation for infrastructure.
Should be able to build native cloud resources, Kubernetes resources, networking resources through automation tools in repeatable fashion.
Conduct performance reviews, set goals, and provide technical guidance to team members.
Promote DevOps best practices and advocate for a culture of automation and efficiency.
Must use AI productivity tools to improve quality and accelerate development.
Streamline software delivery processes to enable rapid and reliable releases.
Having exposure to any healthcare eco system, provider, payer or Pharma with knowledge of HIPPA compliance is huge plus.
Qualifications
Has at least 4+ years of IT experience in building infrastructure in cloud using Terraform or cloud native templates.
Built scalable, secure, and highly available cloud infrastructure on platforms like Azure, or AWS.
Good knowledge of containerization and orchestration tools like Docker and Kubernetes.
Automate create of VPC, load balancers, WAF, subnets route tables using terraform
Ensure system reliability, scalability, and performance through proactive monitoring and optimization.
Must have experience with observability tools (Cloud Watch, Azure insights, datadog ..etc)
Must be customer focused, goal oriented, and have a passion for success.
Must have exposure to AI productivity tools (Co-Pilot, Winsur ..etc)
Implemented continuous integration and continuous delivery (CI/CD) pipelines using tools like Azure ADO, Jenkins, GitLab CI/CD ..etc.
Any experience in health care eco systems is a plus.
Migrating on-prem applications to cloud is a huge plus.
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